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Evolution of Gestational Diabetes Mellitus across Continents in 21st Century

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International Journal of Environmental Research and Public Health (IJERPH)
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Over the last few decades, several definitions of gestational diabetes mellitus (GDM) have been described. There is currently not enough research to show which way is the best to diagnose GDM. Opinions differ in terms of the optimal screening and diagnostic measures, in part due to the differences in the population risks, the cost-effectiveness considerations, and the lack of an evidence base to support large national screening programs. The basic method for identifying the disease is the measurement of glucose plasma levels which may be determined when fasting, two hours after a meal, or simply at any random time. The currently increasing incidence of diabetes in the whole population, the altering demographics and the presence of lifestyle changes still require better methods of screening for hyperglycemia, especially during pregnancy. The main aim of this review is to focus on the prevalence and modifications to the screening criteria for GDM across all continents in the 21st century. We would like to show the differences in the above issues and correlate them with the geographical situation. Looking at the history of diabetes, we are sure that more than one evolution in GDM diagnosis will occur, due to the development of medicine, appearance of modern technologies, and the dynamic continuation of research.
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Citation: Dłuski, D.F.; Ruszała, M.;
Rudzi´nski, G.; Po˙
zarowska, K.;
Brzuszkiewicz, K.;
Leszczy´nska-Gorzelak, B. Evolution
of Gestational Diabetes Mellitus
across Continents in 21st Century. Int.
J. Environ. Res. Public Health 2022,19,
15804. https://doi.org/
10.3390/ijerph192315804
Academic Editor: Costantino Di
Carlo
Received: 30 September 2022
Accepted: 22 November 2022
Published: 28 November 2022
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4.0/).
International Journal of
Environmental Research
and Public Health
Review
Evolution of Gestational Diabetes Mellitus across Continents in
21st Century
Dominik Franciszek Dłuski 1, * , Monika Ruszała 1, Gracjan Rudzi ´nski 2, Kinga Po˙
zarowska 2,
Kinga Brzuszkiewicz 2and Bo˙
zena Leszczy ´nska-Gorzelak 1
1Chair and Department of Obstetrics and Perinatology, Medical University of Lublin, 20-954 Lublin, Poland
2Faculty of Medicine, Medical University of Lublin, 20-059 Lublin, Poland
*Correspondence: p.l.casiraghi@wp.pl
Abstract:
Over the last few decades, several definitions of gestational diabetes mellitus (GDM) have
been described. There is currently not enough research to show which way is the best to diagnose
GDM. Opinions differ in terms of the optimal screening and diagnostic measures, in part due to the
differences in the population risks, the cost-effectiveness considerations, and the lack of an evidence
base to support large national screening programs. The basic method for identifying the disease
is the measurement of glucose plasma levels which may be determined when fasting, two hours
after a meal, or simply at any random time. The currently increasing incidence of diabetes in the
whole population, the altering demographics and the presence of lifestyle changes still require better
methods of screening for hyperglycemia, especially during pregnancy. The main aim of this review is
to focus on the prevalence and modifications to the screening criteria for GDM across all continents
in the 21st century. We would like to show the differences in the above issues and correlate them
with the geographical situation. Looking at the history of diabetes, we are sure that more than one
evolution in GDM diagnosis will occur, due to the development of medicine, appearance of modern
technologies, and the dynamic continuation of research.
Keywords:
gestational diabetes mellitus; GDM prevalence; continents; GDM diagnosis; oral glucose
tolerance test
1. Introduction
In recent times a number of screening and diagnostic tests for gestational diabetes
mellitus (GDM) have been used worldwide. There is currently not enough research to
show which way is the best at diagnosing GDM. Opinions differ in terms of the optimal
screening and diagnostic measures, in part due to the differences in population risks,
cost-effectiveness considerations, and lack of an evidence base to support large national
screening programs [
1
]. GDM usually manifests in the second half of pregnancy. Untreated
glucose intolerance increases the risk of maternal and neonatal complications. Offspring
whose mothers had GDM are more likely to be overweight, and obese, and they may
develop glucose intolerance and type 2 diabetes mellitus (T2DM) in the future [2].
In ancient times, the practiced method of detecting diabetes mellitus was via an
organoleptic urine assessment [
3
]. In the eleventh century, the basic method of identifying
diabetes was still “uroscopy”, which consisted of the color, smell, and taste of the urine.
The relationship between diabetes and metabolism was discovered at the beginning of
the eighteenth century. At the turn of the eighteenth and nineteenth centuries, scientist
Mathew Dobson combined the sweet taste of patients’ urine with excess sugar in the blood
and urine [4].
The plasma glucose level may be determined when fasting, two hours after a meal, or
simply at any random time. In addition, some tests involve drinking a glucose solution
and measuring its concentration thereafter in the blood [
5
]. They are easy to administer
Int. J. Environ. Res. Public Health 2022,19, 15804. https://doi.org/10.3390/ijerph192315804 https://www.mdpi.com/journal/ijerph
Int. J. Environ. Res. Public Health 2022,19, 15804 2 of 32
and inexpensive. Currently, there are many scientific papers emphasizing the validity of
screening for GDM in the first trimester of pregnancy [
6
9
]. To these tests a lot of atten-
tion is paid due to the fact of their repeatable effectiveness which can help in identifying
patients at a high risk for GDM. The first-trimester glycated hemoglobin (HbA1c) assess-
ment is pointed out to be an additional prognostic marker and should not be analyzed
separately. Its insufficient sensitivity and specificity may not detect the whole population
of patients [10,11].
The most common tests used to diagnose GDM are presented in Table 1.
Table 1. Criteria for gestational diabetes mellitus screening by selected societies [12].
Society Test
Number of
Abnormal
Values
Required for
Diagnosis
Fasting
Glucose
(mg/dL)/
(mmol/L)
1 h after
Loading
(mg/dL)/
(mmol/L)
2 h after
Loading
(mg/dL)/
(mmol/L)
3 h after
Loading
(mg/dL)/
(mmol/L)
ACOG 2017/C-C Two step 3 h 100 g 2 95/5.3 180/10.0 155/8.6 140/7.8
ACOG 2017/NDDG Two step 3 h 100 g 2 105/5.8 190/10.5 165/9.2 145/8.1
ADA 2017 75 g One step 2 h 75 g 2 95/5.3 180/10.0 155/8.6 -
ADA 2017 100 g Two step 3 h 100 g 2 95/5.3 180/10.0 155/8.6 140/7.8
CDA 2013 One step 2 h 75 g 2 95/5.3 191/10.6 160/8.9 -
FIGO 2013/
WHO 2013/
IADSPG 2013
One step 2 h 75 g 1 92/5.1 180/10.0 153/8.5 -
NICE/RCOG 2015 One step 2 h 75 g 1 101/5.6 - 140/7.8 -
WHO 1999 Fasting OGTT with 75 g 1 - -
140/
7.8
-
DIPSI Nonfasting OGTT with 75 g 1 - -
140/
7.8
-
ACOG—American College of Obstetricians and Gynecologists, ADA—American Diabetes Association, CDA—
Canadian Diabetes Association, C-C—Carpenter and Coustan, FIGO—International Federation of Gynecology and
Obstetrics, IADPSG—International Association of Diabetes Pregnancy Study Group, NICE—National Institute
for Health and Care Excellence, RCOG—Royal College of Obstetricians and Gynecologists, NDDG—National
Diabetes Data Group, WHO—World Health Organization, and DIPSI—Diabetes In Pregnancy Study Groups of
India.
2. Australia and New Zealand
Australia and New Zealand are multiethnic territories with communities, who have a
higher prevalence of incorrect BMI and GDM, such as Pacific women, or M
¯
aori women [
13
].
2.1. Australia
In 1991 the Australian Diabetes Society (ADS) recommended criteria to diagnose GDM:
universal screening using a 50 g glucose challenge test (GCT) with a cut-off
value 7.8 mmol/L
(
140 mg/dL); 75 g—oral glucose tolerance test (OGTT):
fasting 5.5 mmol/L (99 mg/dL
),
and 2 h
8.0 mmol/L (
144 mg/dL) [
14
]. This statement was ratified, accepted and
released by the Australasian Diabetes in Pregnancy Society in 1998 (ADIPS98) [
15
]. The
described screening method was used until 2014, when ADIPS released updated criteria ac-
cording to the International Association of Diabetes and Pregnancy Study Groups (IADPSG).
The new guidelines contain a universal OGGT at 24–28 weeks (
fasting: 5.1 mmmol/L
(92 mg/dL), 1 h: 10 mmol/L (180 mg/dL), 2 h: 8.5 mmol/L (153 mg/dL)) [16].
Researchers from Australia showed that after the adoption of the IADPSG standards
the incidence of GDM increased from 20 to 75%, but it was also justified by improvements
in the potential long-term benefits and perinatal morbidity [
17
19
]. Laurie et al. confirmed
the almost quadrupled prevalence of GDM between 2010 and 2019 in Australia. A total of
14,225 GDM cases were diagnosed in 2010 and 40,848 cases in 2019 (one fifth were cases of
repeated diagnoses of GDM) [
20
], which resulted in approximately 14% incidence of GDM
Int. J. Environ. Res. Public Health 2022,19, 15804 3 of 32
in Australia [
21
]. The scientists believed that a few things contributed to this situation:
changes in the criteria of a GDM diagnosis, rising rates of obesity and overweight, diversity
of ethnicity, and increasing maternal age [20].
2.2. New Zealand
In 1998, the New Zealand Society for the Study of Diabetes (NZSSD) adopted diagnos-
tic criteria, with values that were higher than those in Australia: 50 g—GCT with cut-off
value
7.8 mmol/L (
140 mg/dL) at 24–28 weeks; 75 g—OGTT, fasting
5.5 mmol/L
(
99 mg/dL) and 2 h
9.0 mmol/L (
162 mg/dL) [
15
]. In December 2014, the New
Zealand Ministry of Health (NZMOH) recommended multi-layered screening guidelines.
According to them, every pregnant patient at <20 weeks of gestation should be offered a
glycated hemoglobin (HbA1c) assessment to identify undiagnosed pre-existing diabetes
mellitus. If the HbA1c is
6.7%, a pregnant woman should be treated as having probable
diabetes mellitus in pregnancy (DIP). When a patient has an HbA1c
5.8% at 24–28 weeks
of gestation, a 50 g GCT should be offered. When an HbA1c is 5.9–6.6%, a 75 g OGGT is
performed [22].
The prevalence of GDM in New Zealand has not been definitively understood, or
reported according to small studies performed in small catchment areas [
23
27
], but the
latest studies assessed it at approximately 6% (5.7–6.2%). This score was confirmed in
different ways [
28
,
29
]. Chepulis et al. presented that GDM more likely affects women at an
advanced age, as well as M¯
aori, Pacific, and Asian women [28].
3. Africa
3.1. Attempts at Assessing the Prevalence, Screening Methods and Risk Factors of GDM
throughout the Entire African Continent
On the African continent, a few ways diagnosing GDM diagnosis have still exist.
The WHO 1985, WHO 1999, WHO 2006, CC criteria, ADA 2003/2004, WHO/IADPSG
2013 or individual protocols are taken into account [
30
,
31
]. This lack of uniformity in
GDM diagnosis protocols between countries and within countries create problems when
comparing the prevalence of GDM on this continent. Even after changing the criteria
for a GDM diagnosis in the WHO/IADPSG 2013, the overall prevalence of GDM is still
unknown. Several studies concerning GDM in Africa were performed to try to fill in the
gap regarding GDM prevalence, risk factors, outcomes and management, but the majority
of them focused on specific populations [
30
32
]. One thing was obvious: for all of the
studies, the GDM prevalence was higher, which was confirmed by Olumodeji et al. [
33
].
This is connected with urbanization, changing lifestyles, and newer and more common
GDM screening methods [30,31].
Mwanri et al., in their review, suggested that the incidence of GDM in sub-Saharan
Africa is approximately 14% among high- risk patients [
32
], but the prevalence of GDM in
the general population throughout all African countries was like a blank space. According
to Natamba et al.’s systematic review, the incidence of GDM was assessed at 3% before
2010 and approximately 13% between 2010 and 2018, but if the IADPSG criteria were used
the prevalence was approximately 16% in sub-Saharan Africa [30].
Muche et al. were the first researchers, who tried to present data from all parts of
Africa. According to them, the pooled prevalence of GDM in Africa was 13.61% (OR:
95%CI: 10.99–16.23; I
2
= 96.1%) and 14.28% (95% CI: 11.39–17.16; I
2
= 96.4%) in subSaharan
countries. The lowest prevalence was in Northern Africa at 7.57% (95% CI: 5.89–9.25) and
the highest was in Central Africa at 20.4% (95% CI: 1.55–38.54) [34].
The risk factors for GDM are not well documented in African countries, but typical
risk factors for GDM should be the same as in other populations [
32
,
35
]. Additionally,
some local drivers such as infections or undernutrition may play a role in the higher risk
for GDM development [
36
]. According to Natamba et al. the most important risk factors
for GDM in subSaharan Africa were: GDM, stillbirth, abortion, macrosomia in previous
pregnancies, family history of T2DM and hypertension. Additionally, an age greater than
Int. J. Environ. Res. Public Health 2022,19, 15804 4 of 32
25 years, overweight, or obesity, and mutliparity also increased the risk of GDM, but
primiparity decreased this risk. Other parameters (e.g., HIV infection) were not statistically
significant [30].
According to Muche et al., overweight/obesity (OR = 3.51; 95% CI: 1.92–6.40), family
history of diabetes mellitus (OR = 2.69; 95% CI: 1.84–3.91), macrosomia (OR = 2.23; 95% CI:
1.84–3.91), stillbirth (OR = 2.92; 95% CI: 1.23–6.93), abortion (OR = 2.21; 95% CI: 1.68–2.92)
GDM in previous pregnancy (OR = 14.16; 95% CI: 2.39–84.48), and hypertension (OR = 2.49;
95% CI: 1.35–4.59) were positively correlated with GDM [34].
3.2. The Prevalence, Screening Methods and Risk Factors of GDM in Selected Countries or Parts of
Africa
Egbe et al., using WHO/AIDPSG 2013, confirmed in their study that the highest
prevalence of GDM is in Central Africa-Cameroon (20.4%). These results were connected
with an epidemic of obesity caused by incorrect dietary habits and a low level of physical
activity. Furthermore, they agreed with other researchers that macrosomia (OR = 8.5, 95%
CI: 3.8–19.0, p< 0.001), past history of unexplained stillbirth (OR = 5.7, 95% CI: 2.5–12.9,
p< 0.001
), BMI
30 kg/m2 (OR = 6.2, 95% CI: 2.9–13.1, p< 0.001), and advanced maternal
age (OR = 3.4, 95% CI: 1.7–7.0, p< 0.001) were significantly related to GDM [37].
Mghanga et al. presented data from southern Tanzania. They used WHO/IADPSG
2013 criteria to diagnose GDM in their cross-sectional study. The GDM prevalence was
lower (4.3%) than the pooled prevalence in all of Africa. They also found significant
correlations between overweight/obesity (p< 0.001), past history of preterm delivery
(p< 0.001
), macrosomia (p< 0.001), stillbirth (p< 0.001), alcohol consumption (p< 0.001),
and family history of DM (p< 0.001) and GDM [38].
Nwali et al. analyzed which type of GDM screening was better- selective or universal
among 400 patients from Nigeria. The selective screening was defined as 75 g OGTT
between 24 and 28 weeks of gestation, performed in a patient with
1 risk factors for
GDM. The results showed that the GDM incidence was higher with the universal screening
(11.51%) than for the selective screening (7.93%), which provided a miss rate of 31.11%.
They also found positive correlations between hyperglycemia and previous history of GDM
and hypertension, weight 90 kg, and age 35 years [39].
Al-Rifai et al. in their article presented data from North Africa and the Middle East
(MENA region) between 2000–and 2019. The weighted incidence of GDM in North Africa
was 13.5% (95% CI: 7.4–20.9, I
2
= 98.9%). This prevalence was 32% higher in North African
countries with a maternal mortality ratio (MMR) > 100/100,000 live births than in North
African countries with an MMR 100/100,000 live births [40].
On the other hand, the newest publication from Gabon presented a comparison be-
tween two diagnostic guidelines for GDM: WHO 1999 and WHO/IADPSG 2013, and
a disagreement with the thesis described in almost all articles. They showed that the
GDM prevalence was higher using the WHO 1999 (10.4%) than using the WHO/IADPSG
2013 criteria (4.5%). The researchers also found an association between GDM and over-
weight/obesity (p= 0.0498), GDM in previous pregnancy (p< 0.0001), and frequency of
C-section (p= 0.0334) and macrosomia (p= 0.0082). Additionally, their data showed that
advanced maternal age was connected with GDM only with high parity [41].
4. North America
According to the International Diabetes Federation (IDF) for 2021, the pooled preva-
lence of GDM in North America and the Caribbean (NAC) was assessed as 7.1%. The result
was the lowest among the IDF regions. This meta-analysis used data from the United States
of America, Mexico, Canada, and Barbados [42].
4.1. The United States of America
According to the American Diabetes Association (ADA), two strategies can be used to
diagnose GDM:
Int. J. Environ. Res. Public Health 2022,19, 15804 5 of 32
The one-step 75 g OGTT using IADPSG/WHO criteria.
The two-step method with a no fasting screen of 50 g, followed by a 100 g OGTT for
screened positive patients [43]
These both methods are characterized by various advantages and disadvantages. A
recent comparative study analyzed these two screening strategies. The results showed
that using the one-step strategy, GDM was diagnosed in doubled number of women in
comparison with the two-step method. Nevertheless, there was no disparity between
maternal and perinatal outcomes, while more pregnant women were treated for GDM
after diagnosis with the one-step method [
44
]. This increase in the number of GDM cases
occurred, due to the fact that only one elevated value is required to make the diagnosis [
45
].
In spite of the ADA endorsement for one-step OGGT, the National Institutes of Health
(NIH) in the US recommend the two-step criteria for a GDM diagnosis [
46
]. These crite-
ria were adopted by the American College of Obstetricians and Gynecologists (ACOG).
During the decision-making process, the main factors were a lack of clinical evidence of
the impact of the one-step strategy on pregnancy outcomes and the possibility of nega-
tive results when diagnosing a great number of patients with GDM using the one-step
strategy. The consequences would be increased health care costs and utilization of medical-
ization [
47
]. Moreover, using a 50 g GCT is easier to perform due to the lack of requirement
of fasting [48].
In connection with the increased frequency of maternal obesity, an increase in the
occurrence of GDM has been observed as well. Maternal obesity is a well-known, indepen-
dent risk factor for GDM. While in 1961 the incidence of GDM was estimated to be less
than 1% [
49
,
50
], it increased from 0.3% in 1979–1980 to 5.8% in 2008–2010 [
51
]. Nowadays,
the prevalence of GDM was estimated by the Centers for Disease Control (CDC) to be
approximately 10% in the United States (US), using the two-step OGTT as a screening. In
turn, using the one-step 2-h 75 g OGTT approximately 17.8% of pregnant women would be
classified as having GDM, which would almost double the frequency of GDM in the US [
4
].
Interesting data were presented by Tsai et al. They analyzed 4735 live births in Hawaii
between 2009–and 2011 with a division by ethnicity. The pooled GDM prevalence was
10.9%, but a higher incidence of GDM was confirmed in Filipina (13.1%) and Pacific
Islander/Hawaiian (12.1%) pregnant women. The lowest rate of GDM was among White
women (7.4%). Filipina, Pacific Islander/Hawaiian, and other Asian pregnant patients had
increased risk of GDM versus white women using a bivariate analysis [52].
4.2. Mexico
Nowadays, in Mexico, there is no protocol, recommended to perform GDM screening.
The National Center for Health Technology Excellence (CENETEC) only presents the
possibilities for diagnosing GDM [53] (Figure 1).
According to Dainelli et al. the most popular screening method is the 75 g one- step
OGTT (46.6% of the total cases) [54].
In Mexico, no official data on the GDM prevalence are available. However, in 1988,
the first paper was published reporting the incidence of GDM—the level estimated was at
4% [
55
]. A growing trend of GDM prevalence has been observed [
56
61
]. The incidence
achieved more than 30% in 2016 [
62
]. The data were collected in 4 major cities in Mexico:
(Mexico City, Guadalajara, Monterrey, and Merida) in 2017, and an overall predicted GDM
prevalence at the level of 23.7% was reported [54].
Int. J. Environ. Res. Public Health 2022,19, 15804 6 of 32
Int. J. Environ. Res. Public Health 2022, 19, x FOR PEER REVIEW 7 of 34
GDMgestational diabetes mellitus, and OGGToral glucose tolerance test.
Figure 1. The scheme prepared according to Guia de practica clinica Diagnostico y tratamiento de
diabetes en el embarazo, CENETEC 2016” [53].
Figure 1.
The scheme prepared according to “Guia de practica clinica Diagnostico y tratamiento de
diabetes en el embarazo, CENETEC 2016” [53].
Int. J. Environ. Res. Public Health 2022,19, 15804 7 of 32
4.3. Canada
GDM is the most frequent endocrinopathy during pregnancy in Canada [
63
], but
for many years, there has been no consensus regarding its diagnosis. The guidelines
presented by the Canadian Diabetes Association (DC) and the Society of Obstetricians and
Gynaecologists of Canada (SOGC) had differences regarding a few things. Over the last
30 years
, they have been changed by the SOGS 4 times (1992, 2002, 2016, and
2019) [6467]
and by the DC 5 times (1998, 2003, 2008, 2013, and 2018) [
68
72
]. Just after the last
modifications, some type of agreement appeared, but two methods are still used to identify
GDM: a two-step strategy and a one-step strategy. Both organizations prefer the two-step
strategy with a 75 g—OGTT and an abnormal value to diagnose GDM: fasting glucose:
5.3 mmol/L (
95 mg/dL), 1 h:
10.6 mmol/L (
191 mg/dL) and
2 h: 9.0 mmol/L
(
162 mg/dL). The one-step approach is an alternative method [
67
,
72
]. Analyzing the
data, the incidence of GDM changed from 3.8 to 6.5% (SOGC) or 2.0–4.0% (DA) in 1992
to 7.0% using the two-step method or to 16.1% using the one-step method. This drastic
rise in GDM prevalence by four-fold in the number of pregnant women diagnosed with
GDM, occurred over the last 20 years [
64
72
]. Additionally, it cannot be forgotten the
increased number of obese, ethnically diverse, and maternal aged patients, who had a large
contribution to the increase in the GDM prevalence [
73
]. These data were confirmed in
large population-based studies performed in Ontario [
74
], Saskatchewan [
75
], and Alberta
and British Columbia [76].
Interesting results were presented by Poirier et al. in an article from northwestern
Ontario. They performed an 8-year retrospective analysis, that found that the average
annual GDM prevalence was 12% (8–17%), two times higher than in all of Ontario. In 90%
of the cases, they used a two-step screening protocol to diagnose GDM [77].
5. South America
The problem that exists in South America is a lack of uniform criteria for diagnosing
GDM and a lack of population-based incidence studies on the condition. Some Latin
American countries have adopted the IADSPG criteria, but many of them have made
locally adapted modifications due to the practical problems of implementing them in a
resource-constrained environment [78].
According to the IDF Diabetes Atlas 2021 the standardized pooled prevalence of GDM
in South America and Central America (SACA) was 10.4%. These data were calculated
after analyzing 4 studies from this region (i.e., Argentina, Brazil, Chile and Cuba) [
42
].
Similar results for GDM prevalence at 10.3% were presented by Leonco et al. in their
prospective study performed in French Guiana, an overseas department of France, in South
America [79].
5.1. Brazil
The Brazilian Diabetes Society (SBD) recommend the guidelines of the (IADPSG). Accord-
ing to the recommendations of the Brazilian Ministry of Health, at least one of the following
criteria must be met to diagnose GDM in the OGTT test: glycemia
(fasting) 5.1 mmol/L
(
92 mg/dL
) and
6.9 mmol/L (
125 mg/dL); glycemia 1 h after overload
10 mmol/L
(
180 mg/dL); glycemia 2 h after overload
8.5 mmol/L (
153 mg/dL) and,
<11.1 mmol/L
(<200) mg/dL. In a study performed among users of the Brazilian Unified Health System
(UHS) in the city of Caxias do Sul, State of Rio Grande do Sul, the estimated prevalence
of GDM was 5.4%. Additionally, pregnant women who were obese,
35 years, and those
with three or more pregnancies were more likely to develop GDM during pregnancy than
women with a normal BMI, <35 years, and primiparous [80].
A retrospective cohort study was conducted by Sampaio et al. using the medical
records of women diagnosed with dysglycemia during pregnancy between January 2015
and July 2017 at the Specialized Outpatient Clinic for Pregnancy Endocrinopathies at
Taguatinga Regional Hospital, Federal District at a public health center in Brazil. Approxi-
Int. J. Environ. Res. Public Health 2022,19, 15804 8 of 32
mately 70% of the patients were overweight or obese, 78.6% of them had GDM and 21.4%
had diabetes mellitus in pregnancy [81].
5.2. Argentina
The criteria for the diagnosis of GDM were established by the Latin American Diabetes
Association (ALAD) in 2007 and are still used nowadays. According to them, during the first
visit, pregnant patients have a fasting glycemia measurement. If the result is
100 mg/dL
,
the test will be repeated for the next 3 days. GDM can be diagnosed, when two measure-
ments are
5.5 mmol/L (
100 mg/dL). If not, a 75-g OGTT is recommended between
24–and 28 weeks of gestation. If a patient has glycemia < 7.77 mmol/L (
<140 mg/dL)
in
the second hour, she will be considered as a woman without GDM, while if the value is
7.7 (
140 mg/dL), GDM is diagnosed. If a patient has a correct 75-g OGTT, but has GDM
risk factors, the OGTT will be repeated between 31–and 33 weeks of gestation [82].
A clinical study, published in 2020, compared the prevalence of GDM in Argentina
according to the ALAD and IADPSG criteria. The results showed that the GDM incidence in
Argentina using the IADPSG criteria was 2.54 higher (24.9%) than the prevalence according
to the ALAD guidelines (9.8%). No differences were found in BMI, maternal age or
pregnancy length between pregnant patients diagnosed using the ALAD and IADPSG
guidelines. Additionally, the authors presented an almost two-fold increase in the GDM
prevalence [83] in comparison to the years: 1995 (5.0%) [84] and 2009 (5.8%) [85].
5.3. Chile
The perinatal care guidelines, published in 2015 by the Ministry of Health in Chile, es-
tablished that pregnant women with GDM are diagnosed with a 75 g OGTT at
24–28 weeks
of gestation; fasting glucose values
5.55 mmol/L (
100 mg/dL) and/or
7.77 mmol/L
(
140 mg/dL) 2 h after OGTT indicate GDM. Additionally, fasting glucose values between
5.55 (100 mg/dL) and 6.94 mmol/L (125 mg/dL) in the first trimester of pregnancy man-
date a diagnosis of GDM. Before this change only the OGTT was recommended to diagnose
GDM [
86
]. The biggest study analyzing GDM prevalence in Chile was performed between
2002–2015, 86,362 pregnant women were included. The mean prevalence of GDM was 7.6%
(95% CI: 7.5–7.8) with increasing values from 4.4% in 2002 to 13.0% in 2015. Additionally,
researchers presented the risk factors for GDM: age, civil status, education, family history
of T2DM, personal history of GDM, preeclampsia, hypertension, pre-gestational nutritional
status, smoking, and alcohol [
87
]. Another study estimated the GDM prevalence in Chile
at 6.6% among pregnant women [88].
5.4. Ecuador
In Ecuador, an interview is used to identify pregnant women with intermediate
(overweight) and high-risk factors (i.e., obesity, polycystic ovarian syndrome, family history
of diabetes, and macrosomia in previous pregnancies). It works as a screening test, then a
fasting glucose level is ordered for patients with a positive interview in the first trimester
of pregnancy. It is interpreted as follows: greater than 7 mmol/L (126 mg/dL): pre-existing
diabetes, between 5.1 and 7 mmol/L (92 and 126 mg/dL): GDM; normal result. If the result
is in the norm, the 75 g—OGTT is performed between 24–and 28 weeks of gestation. If the
result is abnormal, a 75 g—OGTT is suggested to be conducted immediately. The GDM
prevalence in Ecuador is estimated at approximately 10% [89].
5.5. Colombia
Colombian recommendations say that a pregnant woman has her first prenatal visit
between 7 and 12 weeks of gestation, during which first screening—fasting or casual of
their blood glucose should be performed to assess the situation and prepare for future man-
agement. If the fasting glucose level is
7 mmol/L (
126 mg/dL) pre-gestational diabetes
mellitus (PGDM) is diagnosed, when it is between 5.3–and 6.94 mmol/L (
92–125 mg/dL
)
GDM is diagnosed. Patients with a fasting glucose level of <5.3 mmol (92 mg/dL) will have
Int. J. Environ. Res. Public Health 2022,19, 15804 9 of 32
a 75 g OGGT between 24–and 28 weeks of gestation; if casual glucose
level 200 mg/dL
PGDM is diagnosed, or when <200 mg/dL—a 75 g—OGTT between 24–and 28 weeks of
gestation is recommended [90].
In a study performed between 2013 and 2017 in Zapatoka, the Santander mixed
criteria were used to diagnose GDM, and the prevalence was estimated at 4.46% [
91
]. In
another study from Colombia, using the IADPSG/WHO 2013 criteria, which took place
between July 2017 and March 2018 at the Hospital Universitario San Joséin Popayán, the
estimated prevalence of GDM was 16.32%. This result was similar to most studies that used
the IADPSG criteria, but it was higher than the Colombian results described previously.
Additionally, they analyzed the GDM risk factors. The data showed that: age > 35 years,
indigenous race, history of fetal macrosomia, and BMI > 25, had a significant association
with GDM [92].
5.6. Peru
There are poor data on the GDM prevalence in Peru [
93
], despite the fact, that a
large prospective study, assessing the prevalence and risk factors of GDM using the
IADPSG/WHO criteria was performed. The results presented a 16% GDM prevalence
among pregnant women. Additionally, researchers found that mid-pregnancy obesity, and
family history of diabetes, had increased odds ratios of GDM [94].
5.7. Guyana
Guyana is a former British colony, that has a mutliethnic population with a domination
of 40% Indo-Guyanese and 30% Afro-Guyanese, which are at a high risk for diabetes
mellitus. According to a national study, the prevalence of diabetes mellitus was 14.9%. Lowe
at al. presented data from a program based on IDF Women in India with GDM Strategy
(WINGS) using the 75 g—OGTT. Three research centers took part in it: Georgetown Public
Hospital Corporation (GPHC) and two associated heath centers in the (HCs). The GDM
prevalence in Guyana, in GPHC, and in HCs was 22.1%, 25.9%, and 2.6% respectively [
95
].
5.8. Uruguay
A cross-sectional study from Uruguay analyzed data from 42,663 pregnant women,
who delivered in 2012. Perinatal Information System (SIP) records were used. The
GDM prevalence was estimated at 22% using only fasting glucose level
5.3 mmol/L
(
92 mg/dL)
. The glucose levels after 1 h, and 2 h from the OGTT were not available in
the SIP [96].
5.9. Trinidad and Tobago
The national prevalence in Trinidad and Tobago was estimated at 14.5% using the
IADPSG/WHO 2013 criteria [
97
]. In a retrospective observational study conducted by
Clapperton et al. a marked increase in GDM prevalence was observed. The GDM frequency
in 2005, 2006, and 2007 was 1.67%, 4.58%, and 6.67% respectively with a mean incidence of
4.31%, and a predicted value of 9.31% for 2008. In addition, they found that age, ethnicity,
family history, GDM in previous pregnancies, and obesity were risk factors for GDM [
98
].
In contrast, a cross-sectional study from north central Trinidad, which lasted from January
2012 to December 2016 estimated the prevalence of GDM at 2%, but the authors mentioned
that the real prevalence might be higher and further investigations were needed [97].
5.10. Paraguay, Suriname, Bolivia, Venezuela
Studies on the GDM prevalence and screening methods in Paraguay, Suriname, Bolivia,
and Venezuela were not found. They probably adopted the WHO/IADPSG criteria with
regional modifications to diagnose GDM [78,96].
Int. J. Environ. Res. Public Health 2022,19, 15804 10 of 32
6. Europe
Seventeen studies were analyzed by the IDF to assess the regional standardized GDM
prevalence in Europe—7.8% [
42
]. According to a meta-analysis prepared by Paulo et al.,
the overall weighted prevalence of GDM from 24 European countries was 10.9%. The
highest GDM prevalence was in Eastern Europe—31.5%, and the lowest was in Northern
Europe—8.9%. The values for Western Europe and Southern Europe were 10.7% and 12.3%,
respectively. Women age > 30 years, overweight/obesity, and a GDM diagnosis in the third
trimester were risk factors for the increased prevalence of GDM [99].
6.1. Poland
In Poland every pregnant woman has a fasting glucose test on her first prenatal visit.
If a patient has risk factors for GDM, or an incorrect fasting glucose value, the OGTT is
recommended. If their fasting glucose level or OGTT is at norm, the patient will have an
OGTT performed according to the standard screening between 24–28 week of gestation.
This scheme was prepared according to the IADPSG/WHO 2013 [
100
]. Bomba-Opo ´n et al.
in a retrospective multicenter cohort study presented the most actual data regarding the
GDM prevalence in Poland—at 6.62% and it increased two-fold over the last 20 years [
100
].
Similar results were described by Wojtyla et al. In their study, the GDM incidence in 2012
was 4.0% and in 2017 it was 6.2% [
101
]. A study performed by Cichocka and Gumprecht
found that more pregnant women were diagnosed with GDM based on the fasting glucose
level [102].
6.2. Spain
In Spain, the criteria of the National Diabetes Data Group (NDDG) from 1979 are still
used. According to them, in all pregnant women between 24 and 28 weeks of gestation, and
in patients with GDM risk factors during the first trimester of pregnancy, a screening test
is performed with a 50 g glucose. Women with a positive screening test with a 1-h blood
glucose > 140 mg/dL (7.7 mmol/L) underwent a confirmatory 3-h, 100 g—OGTT. GDM is
diagnosed with two abnormally high values of the following thresholds: fasting glucose
level
105 mg/dL (5.8 mmol/L); 1-h,
190 mg/dL (10.5 mmol/L); 2-h,
165 mg/dL
(9.1 mmol/L); 3-h, 145 mg/dL (8.0 mmol/L) [103,104].
In a study comparing the criteria from 1979 and the IADPSG/WHO 2013 guidelines,
the results were surprising: the GDM prevalence changed dramatically from 10.6% using
old criteria to 35.5% using the new criteria [
105
]. López-de-Andrés et al. in a population-
based study performed between 2009 and 2015 using the DDG criteria assessed GDM at
5.27% [
106
]. These results are similar to data presented by Gortazar from Katalonia—the
mean GDM prevalence between 2009 and 2015 was estimated at 4.8% [
107
]. Additionally,
an increasing trend in the GDM frequency from 3.81% in 2009 to 6.53% in 2015 was
observed [
107
]. The study performed by Melero et al. using the IADPSG criteria, analyzed
the nutritional intervention, the Mediterranean diet and its influence on GDM, the results
showed lower GDM prevalence in the Mediterranean diet group, than in the control group
at 14.8% and 25.8%, respectively [108].
6.3. Portugal
The Portuguese Gynecological Society uses the IADPSG criteria for screening and diag-
nosing GDM [
109
]. GDM prevalence was estimated at 3.4% in 2005, 6.7% in 2014, and 8.8%
in 2018, which is 2.58-fold increase in frequency after changing the diagnostic guidelines for
GDM. The highest prevalence was estimated among women with
GDM 40 years [110,111]
.
6.4. France
France accepted new IADPSG criteria in 2010 and uses one-step strategy to screen for
GDM. It has had an influence on the GDM prevalence, which was estimated at approx-
imately 5% in 2004–2005 [
112
], 11.6% in 2013 [
113
], and even up to 22.5% in 2016 [
114
].
Miailhe et al. compared selective and universal GDM screening using the IADPSG criteria.
Int. J. Environ. Res. Public Health 2022,19, 15804 11 of 32
The results showed that one-sixth of GDM cases would have been missed by selective
screening [
115
]. A study from Brest confirmed that obesity is related to GDM (OR 5.83,
95%CI: 4.37–7.79) [116].
6.5. Italy
In 2010 Italy accepted and adopted the IADPSG/WHO 2013 as the universal screening
criteria for GDM, but in September 2011, the Italian Public Health Authority changed the
GDM guidelines and decided on selective screening. The reason was due to the fact that the
level of GDM diagnoses was too high using the new criteria. Women, who were classified
as healthy in previous classification, became GDM affected by new screening [
117
,
118
].
Lacaria et al. checked the application and effectiveness of GDM selective screening. Their
results showed that the prevalence of GDM was 10.9% and 25% higher than when using
the old criteria. Additionally, most of the tests were performed between 24 and 28 weeks
of gestation, which departs from the new Italian guidelines (between 16 and 18 weeks
of gestation in GDM high-risk pregnancies, between 24 and 28 weeks of gestation in
medium-risk pregnancies; no OGTT in low-risk pregnancies) [118].
Di Canni et al. confirmed the GDM prevalence rate—at 11% when analyzing data from
Tuscany. Additionally, they consented that with the lack of proper screening—only 55%
performed OGTTs according national guidelines. Moreover, the researchers also suggested
the need for universal screening, due to the relatively high (7.0%) GDM prevalence level
among non-eligible pregnant patients [117].
Zanardo et al. compared two groups: mothers giving birth before the COVID-19
pandemic and during the pandemic. The results showed a statistically significant increase
in the GDM prevalence rate from 9.0% in 2019 to 13.5% in 2020 [119].
6.6. Germany
In 2012 two-steps screening of GDM with a 50 g—GCT and a 75 g—OGTT was
inaugurated in Germany [
120
]. Until this time, different strategies for GDM diagnosis
existed; therefore, the prevalence rates were very variable between 2% and approximately
18% [
121
123
]. Melchior et al. analyzed data from 2014 to 2015. The overall prevalence was
estimated at 13.2%, with the highest rate among women 45 years at 26% [120].
Before starting universal screening in Germany, a trend of increasing GDM prevalence
rates was observed [
124
]. Researchers from the North Rhine region analyzed data from
12 months before and 12 months after the introduction of universal screening with an
incidence of 6.02% before, and 6.81% after. They found that the prevalence rate relatively
increased by approximately 13.12% after the beginning of universal screening. Additionally,
the GDM prevalence was the highest among women between 36 and 40 years [
125
]. Reitzle
et al. [
126
] presented data on the GDM incidence from 2016 to 2018, in 2016 was 5.3% and in
2018 was 6.8%. Researchers signaled two things: the data were taken from hospital records,
and several percent of German women still have not had a GDM screening [126].
6.7. Greece
The National Health Guidelines in Greece recommend the IADPSG/WHO 2013 criteria
to diagnose GDM. The GDM prevalence, as assessed by Varela et al., was 14.5% [
127
]. A
similar result was estimated by Papachatzopoulou et al. in their prospective cohort study,
at 11.5% [
128
]. Vasileiou et al. showed that a GDM diagnosis is related to seasons, the
highest prevalence was assessed in the summer, and the lowest in the winter [
129
]. Other
researchers from Greece suggested that there is higher rate of GDM prevalence among
in vitro fertilization pregnancies [130].
6.8. Switzerland
Switzerland also changed the GDM diagnosis criteria and adopted the IADPSG guide-
lines in 2010. Before this date, the two-step criteria were used to diagnose GDM. Orecchio
et al. in 2004–2005 performed a study among 1042 pregnant women, and the prevalence
Int. J. Environ. Res. Public Health 2022,19, 15804 12 of 32
was 4.8%. They found a statistically significant association between GDM and Asiatic
origin, and GDM diagnosed during a previous pregnancy [
131
]. Huhn et al., in their cohort
study compared two groups of pregnant patients: before (period 1) and after (period 2)
changing the criteria. The results showed an enormous increase in the GDM prevalence
rate from, 3.3% in period 1 to 11.8% in period 2 [
132
]. A similar study was performed by
Aubry et al., in which GDM incidence rates were assessed for two periods of time, between
2005 and 2010, and between 2012 and 2017. The threefold increase in GDM prevalence was
observed between these two periods from 2.7% in the first period to 8.3% in the second
period [133].
6.9. Austria
Austria adopted the IADSPG criteria in 2010. The OGTT is administered between 25
and 28 weeks of gestation [
134
]. Researchers from all parts of the country observed that the
GDM prevalence rates have changed. Before the introduction of the new guidelines approx-
imately 7–10% pregnant women were affected by GDM according to the literature [
135
]. In
a study performed by researchers from Linz, GDM prevalence was assessed at 16.8% using
the new criteria for GDM diagnosis [
134
]. Similar results were presented by Kotzaeridi
et al., with an incidence of GDM at 17.8% [
136
]. On the contrary, the results presented by
Muin et al. were much lower. In 2008–2010, the estimated GDM prevalence was 2.9%; in
2011–2019 it was 4.38% [137].
Other group of researchers from Austria also analyzed the GDM prevalence in triplet
pregnancies. The rate was absolutely higher (31.7%) than in singleton pregnancies [138].
6.10. Czech Republic/Czechia
In the Czech Republic/Czechia, there has been a discussion regarding the IADPSG
criteria. During 2014 and 2015 Czech medical societies gradually adopted this criteria.
Before changing the criteria Czech doctors alarmed that the GDM prevalence would be
higher using the new guidelines [
139
]. As an example, a study performed by Anderlová
et al. in 2014 can be presented. The Czech criteria with cut-off values for plasma glucose
levels: for fasting at—5.6 mmol/L (100 mg/dL), 1 h—at 8.9 mmol/L (160 mg/dL), and
2 h
—at 7.7 mmol/L (140 mg/dL) provided the GDM prevalence of 22.26%. The IADPSG
guidelines resulted in a 31.89% incidence of GDM [
139
]. In opposition to these results,
Krejˇcíet al. found that using the old Czech criteria, the GDM prevalence was 20.3%, and
according to the new guidelines the incidence was 14.3% [140].
6.11. Belgium
Belgium has no consensus on a GDM diagnosis, two methods are used at the same time.
Additionally, there is a lack of accurate data on the GDM prevalence in this country [
141
].
Benhalima et al. compared the Carpenter and Coustan (C&C) criteria- old criteria and the
IADSPG guidelines analyzing data from 6727 pregnant women. Using the old guidelines
the GDM prevalence was 3.3% and using the new it was 5.7% [
142
]. According to study
performed by Costa et al., the authors also presented the increase of GDM incidence
between two- and one-step screening from 3.4% to 16.28% [
143
]. The one-step criteria were
endorsed by Gropuement des Gynécologues Obstétriciens de Langue Française de Belgique
(GGOLFB) [
143
]. Another study showed the GDM prevalence in Belgium using different
criteria: IADPSG, NICE from 2015, Irish from 2010, French from 2010, and Dutch from 2010.
The results presented 12.5%, 6.5%, 7.9%, 8.0%, and 8.9% GDM incidence, respectively [
144
].
6.12. Netherlands
The GDM prevalence in the Netherlands is estimated at approximately 5% using the
WHO 1999 criteria [
145
]. Konnig et al. compared two screening tests to diagnose GDM:
WHO 1999 and AIDPSG/WHO 2013 in women with a high risk for GDM development.
There was a 45% increase in the number of diagnosed cases (32% in the AIDPSG/WHO 2013
group, and 22% in the WHO 1999 group) [
146
]. There is still a debate, over which criteria
Int. J. Environ. Res. Public Health 2022,19, 15804 13 of 32
are better [
147
]. Other researchers from the Netherlands using the IADPSG/WHO 2013
criteria diagnosed GDM in 8.2% of patients and in 13.2% of GDM high-risk patients [
148
].
In a single center cohort study from Utrecht de Wit et al. confirmed an increase in GDM
prevalence using the IADPSG/WHO 2013 criteria compared to the WHO 1999 strategy, at
32.4% vs. 19.3% [
149
]. Rademaker et al. wanted to show that the GDM incidence is higher
among non Dutch-origin citizens of the Netherlands (e.g., Surinamese and Sub-Saharan
African) pregnant women in comparison to Dutch pregnant women [150].
6.13. United Kingdom
In the United Kingdom the 75 g 2 h OGTT is used for pregnant women with risk
factors for GDM, not at universal screening. The recommended criteria were prepared by
NICE in 2015 and accepted by the Royal College of Obstetricians and Gynecologist (RCOG).
According to them, a patient who has had GDM during a previous pregnancy, or is obese,
or delivered a baby weighted at
4.5 kg, or one of the siblings has diabetes, or if the family
origin is of South Asian, Chinese, African-Caribbean or Middle Eastern is offered early
self-monitoring of blood glucose or a 75 g 2-h OGTT as soon as possible after a confirmation
of pregnancy and then another OGTT between 24 and 28 weeks of gestation, if the results
of the first OGTT are normal. GDM is diagnosed if the woman has a fasting plasma
glucose level
5.6 mmol/L (
100 mg/dL) or a 2-h plasma glucose
level 7.8 mmol/L
(140 mg/dL) [151,152]. The GDM prevalence is estimated at approximately 5% [153].
Garcia et al. analyzed data from Luton between 2008 and 2013 to assess the GDM
prevalence among White British, Indian, Bangladeshi, and Pakistani pregnant women,
which was the highest in Bangladeshi (2.1%) and the lowest in White British (0.4%). They
used the NICE 2015 criteria retrospectively [
154
]. Plant et al. presented results from a study
performed in Sandwell, West Midlands, a part of England where obesity, and physical
inactivity levels are higher than the average. GDM prevalence was diagnosed in 6.8%
cases using the NICE 2015 guidelines [
155
]. A similar result—at 6.77% was estimated by
Martine-Edith et al. in Born in Bradford (BiB) cohort study using modified WHO 1999
criteria, according to local recommendations at the time of the study (2007–2010): fasting
glucose level
6.1 mmol/L (
110 mg/dL) and 2 h post-load glucose level
7.8 mmol/L
(140 mg/dL) [156].
Data from Scotland, collected between 2010 and 2012, presented that for this part of the
United Kingdon, the AIDPSG/WHO 2013 guidelines to diagnose GDM are recommended,
but using only fasting and 2 h blood glucose levels [
157
]. In addition SIGN recommends
the same criteria for diagnosing GDM but in high-risk patients [
158
]. Additionally, these
criteria were not accepted by all obstetric units in Scotland, and universal screening was
performed only in 20% of them. After changing the criteria, the GDM prevalence increased
from 1.28% in 2010 to 2.54% in 2012 [
157
]. Collier et al. analyzed data from the Scottish
Morbidity Record 02 between 1981 and 2012, and they showed 9-fold increase in the GDM
prevalence during this time, with a result of 1.9% in 2012. In addition, they confirmed that
BMI, maternal age, social deprivation, and multiparity were positively correlated with
GDM [159].
6.14. Ireland
Just after the IADPSG released new GDM criteria, Ireland accepted them. According to
the Atlantic Diabetes in Pregnancy (DIP), GDM was diagnosed in 12.4% cases. Additionally,
there was a confirmation of the mothers age and obesity as risk factors for GDM [
160
].
Similar outcomes were assessed by Bogdanet et al., in their study GDM prevalence was
11.4% [
161
]. In another Atlantic DIP study, the higher prevalence of GDM in the lowest
socioeconomic group was found. The increase was approximately 8.6% [
162
]. McMahon
et al. analyzed data from an Irish hospital between 2008 and 2017. They presented a
five-fold increase in the GDM incidence from 3.1% in 2008 to 14.8% in 2017, which is closely
connected with changing guidelines for GDM diagnosis [163].
Int. J. Environ. Res. Public Health 2022,19, 15804 14 of 32
6.15. Hungary
Hungary accepted the AIDPSG guidelines for diagnosing GDM. Using this criteria
Kun et al. estimated the GDM prevalence in Hungary at 16.6% retrospectively [
164
]. Data
collected between 2009 and 2017 and presented also by Kun et al. showed an increase in
the GDM incidence from 12.4% in 2009 to 18.5% in 2017 [165].
6.16. Romania
Romania accepted the IADPSG guidelines for diagnosing GDM, but the OGTT test is
performed only if risk factors for GDM are confirmed [
166
]. Chelu et al. presented data
from 2017 to 2021, in which the average GDM prevalence was estimated at 5.78% with the
lowest result of 2.77% in 2017 and the highest outcome in 2021 at 8.48% [
167
]. Preda et al.
described which medical situations were risk factors for GDM. According to this study,
hypertension, gestational hypertension, history of fetal macrosomia, GDM in previous
pregnancies, maternal age, and weight gain during pregnancy were significantly correlated
with GDM [166].
6.17. Iceland
The GDM prevalence in Iceland is estimated between 15.5 and 19% using the IADPSG
criteria [
168
,
169
]. A similar result in the GDM incidence was presented by Tryggvadottir
et al., at 14.9% [
170
]. Another study from Iceland showed how maternal dietary patterns
during pregnancy influenced the diagnosis GDM. In patient with a prudent dietary pattern
and correct BMI, GDM appeared in 2.3% cases and among 18.3% of overweight/obese
patients [171].
6.18. Denmark
A national study in Denmark on the GDM prevalence was performed between 2004
and 2012 among 566,083 patients. The results showed an increase in GDM incidence from
1.7% in 2004 to 2.9% in 2012. During this period of time to diagnose GDM was used the
OGGT with 75 g glucose as a risk-factor screening. The criteria were a blood glucose level
9.0 mmol/L (
162 mg/dL) in the capillary full blood/venous plasma or
10.0 mmol/L
(
180 mg/dL) in capillary plasma 2 h post-load [
172
]. Another study from Denmark
conducted in years 2004–2017 estimated GDM prevalence on 2.5% [
173
]. Till 2013 OGTT
was performed at 27–30 weeks of gestation, nowadays at 24–28 weeks of gestation. Nielsen
et al. wanted to present situation, where GDM was diagnosed in 2.7% cases, but 23% from
these cases were migrants [174].
6.19. Norway
There is a lack of systematically synthesized and integrated data on the GDM incidence
in Norway [
175
]. For the last 20 years, three ways to diagnose GDM (i.e., the WHO 1999;
the AIDPSG/WHO 2013 and the Norwegian guidelines) were used. The last criteria are
defined as a fasting blood glucose level between 5.3 and 6.9 mmol/L (95 and 124 mg/dL)
and/or a 2 h level of blood glucose between 9.0 and 11.0 mmol/L (162 and 198 mg/dL)
after an OGTT [
176
]. Using this three ways, Rai et al. assessed GDM prevalence at 10.3%
(WHO 1999); 10.7% (Norwegian); and 16.9% (IADPSG/WHO2013) [
176
]. Other researchers
confirmed that GDM was more frequently diagnosed in immigrants from South Asia than
in women of Norwegian origin [177].
Founger et al. showed that GDM was much more frequently diagnosed in pregnant
women with polycystic ovary syndrome (PCOS) than in the general population. This
depended on which criteria were used, as the GDM prevalence was 27.2% using the Nor-
wegian criteria, 28.3% using the WHO 1999 criteria, and 41.2% using the AIDPSG/WHO
2013 criteria [178].
Int. J. Environ. Res. Public Health 2022,19, 15804 15 of 32
6.20. Sweden
A population- based cohort study from Sweden, performed between 1998 and 2012,
assessed GDM prevalence for 1%. GDM was diagnosed in several ways, based on OGTT,
during this time [
179
]. In another study, Nilsson et al. estimated the incidence of GDM in
south Sweden at 2.2% for the years 2012–2013. They used a 75 g OGTT with a 2 h cut-off
value of 10 mmol/L (180 mg/dL) to diagnose GDM [
180
]. In 2015 the Swedish National
Board of Health recommended the IADPSG/WHO 2013 criteria for a GDM diagnosis [
181
].
6.21. Finland
According to the Finnish Current Care Guidelines for GDM, since 2008 a 75 g OGTT
has been performed among all pregnant women without a very low risk of GDM. The
diagnostic thresholds are: a fasting plasma glucose
5.3 mmol/L (
92 mg/dL), 1 h
glucose
10.0 mmol/L (
180 mg/dL), and a 2 h glucose
8.6 mmol/L (
155 mg/dL).
The prevalence of GDM in primiparous women in Finland was assessed at 16.5% [
182
].
Koivunen et al. compared the IADPSG and NICE to diagnose GDM among 4033 pregnant
women, and the results were 31.0% and 13.1% respectively [
183
]. In another study, Rönö
et al. estimated a GDM prevalence of 13.0% in first the pregnancy, and 17.6% in the second
pregnancy. GDM recurrence rate was 62.8% [
184
]. Ellenberg et al., analyzing data from the
Hospital Discharge Register and the Finnish Medical Birth Register in the years 2006–2008
and 2010–2012 found an increase in GDM incidence from 7.2% to 11.2% [185].
6.22. Slovenia
In June 2011, Slovenia accepted the IADPSG guidelines and started universal screening
for GDM. Before this date a two-step test that used C&C criteria for pregnant women with
risk factors for GDM were performed [
186
]. Lucovnik et al. analyzed the data before and
after changing the GDM diagnostic criteria from 276 210 deliveries. An increase in the
GDM prevalence from 2.6% to 9.7% of cases was observed [186].
6.23. Croatia
Croatia used the WHO 1999 criteria before changing to the IADPSG guidelines. The
Croatian Perinatology Society strongly advocated to make this change. The Croatian
Chamber of Medical Biochemists appointed a working group to correctly perform the
new procedures [
187
]. Djelmis et al. compared the estimated prevalence of GDM using
different criteria: the IADPSG and NICE. In this study 4646 pregnant women took part.
In 23.1% of cases, GDM was diagnosed using an OGTT test performed between 24 and
32 weeks
of gestation according to the IADPSG guidelines. The NICE criteria met 17.8% of
patients [188].
6.24. Serbia
In Serbia the ADA or IADPSG criteria for GDM diagnosis are used [
189
191
]. Earlier,
the 100 g OGTT was used in high-risk patients [
189
]. Lackovic et al. assessed the incidence
of GDM at 24.6%. In addition, they found positive correlations between GDM and BMI at
delivery, gestational weight gain (GWG), pre-pregnancy BMI, positive family history for
cardiovascular disease, LGA, mode of delivery, congenital thrombophilia, and hyperten-
sion in pregnancy [
190
]. Perovic estimated the GDM prevalence in high-risk patients for
25.7% [
189
]. A lower GDM incidence (19.5%) was presented by Milovanovic et al. in their
study assessing usefulness of thyroid screening in GDM prediction [191].
6.25. Macedonia/Northern Macedonia
According to data obtained from Macedonia/Northern Macedonia the AIDPSG guide-
lines are used to diagnose GDM. An OGTT test with 75 g of glucose is performed between
24 and 28 weeks of gestation [
192
]. The only article, that presented the GDM prevalence in
Macedonia/Northern Macedonia assessed the incidence at 66.1% [193].
Int. J. Environ. Res. Public Health 2022,19, 15804 16 of 32
6.26. Bosnia and Herzegovina
The latest data on the prevalence of GDM from Bosnia and Herzegovina are dated
for the years 2010–2011. A total of 285 pregnant women with singleton pregnancies
participated in the study. They underwent a 75 g OGTT between 22 and 32 weeks of
gestation. The incidence of GDM was assessed at 10.9% according to the WHO 1999
criteria. Prenatal cigarette smoking, C-section rate, GDM in a previous pregnancy, and
neonatal hypoglycemia were significantly more frequent in the GDM group compared to
the controls [194].
6.27. Albania
The only study from Albania describing GDM prevalence and screening was per-
formed between 2005 and 2012. GDM was diagnosed if the fasting plasma glucose was
120 mg/dL or the postprandial glucose level was
180 mg/dL. The prevalence of GDM
was estimated at 2.8% [195].
6.28. Estonia
The actual criteria for a GDM diagnosis in Estonia were established in 2011. That
year, the Estonian Gynecologists’ Society approved new guidelines based on the IADPSG
recommendations. Estonians perform a 75 g OGTT test in pregnant women with a risk
of GDM. Two articles presented the prevalence of GDM in Estonia [
196
,
197
]. Kirss et al.
conducted their research in 2012, and the GDM incidence was 6.0% [
196
]. Another study
showed results from between November 2013 and March 2015, the GDM prevalence was
estimated at 28.1% [197].
6.29. Lithuania
According to researchers from Vilnius, the GDM prevalence in Lithuania increased
6.7-fold from 2001 to 2014 (2.7%). They did not write which criteria were used to diagnose
GDM, but underlined that GDM screening became universal in Lithuania after decision
made by the Lithuanian Ministry of Health [
198
]. Ramonien
˙
e et al. compared the diagnostic
criteria for GDM proposed by the WHO 1999 and the IADPSG. The participants underwent
a 75g OGTT between 24 and 28 weeks of gestation. All glycemia values were significantly
higher in obese women than in the normal weight women group. According to the WHO
1999 criteria, GDM was diagnosed in 6.9% of obese patients vs. 2.9% in the controls
(p= 0.195,
OR 2.43 (95% CI (0.61–9.68)). Using the IADPSG criteria, GDM was diagnosed
in 41.2% cases of obese pregnant women vs. 9.8% in the control group (p= 0.0001, OR 6.44
(95% CI (3.00–13.81)) [199].
6.30. Cyprus
Soytac Inancli et al. performed a study between 2013 and 2014 using 100 g OGTT,
according to the National Diabetes Data Group (NDDG), between 24 and 28 weeks of
gestation. The GDM prevalence was 19.6% among Turkish Cypriot [200].
6.31. Malta
In Malta screening is based on the IADPSG guidelines, but only high-risk patients
are qualified for an OGTT test between 24 and 28 weeks of gestation [
201
]. Xuereb et al.
using the IADPSG and WHO 2006 criteria estimated GDM prevalence in 21.2% cases with
universal screening [
202
]. Cuschieri et al. decided to perform universal screening in their
study, and GDM was diagnosed in 136 cases (33.9%) using the OGTT according to the
IADPSG criteria [201].
6.32. Bulgaria
According to Bojadzhieva et al., the GDM prevalence in 2010 was estimated at 11.3%
using the ADA criteria for GDM diagnosis [
203
]. Later Bulgaria accepted the IADPSG
criteria to diagnose GDM. A study performed by Borrisov et al. showed that the incidence
Int. J. Environ. Res. Public Health 2022,19, 15804 17 of 32
of GDM using the latest guidelines was assessed at 13.2%. Additionally, they found positive
correlations between obesity, maternal age, GDM in previous pregnancy, family history of
diabetes previous GDM, and high blood sugar before pregnancy and GDM [204].
6.33. Slovakia, Ukraine, Belarus, Latvia, San Marino, Liechtenstein, Monaco, Luxembourg,
Moldova, Andorra, Georgia, Armenia, and Azerbaijan
Studies concerning GDM prevalence and screening in Slovakia, Ukraine, Belarus,
Latvia, San Marino, Liechtenstein, Monaco, Luxembourg, Moldova, Andorra, Georgia,
Armenia and Azerbaijan were not found.
7. Asia
The following areas of Asia were distinguished: North Asia, Central Asia, East Asia,
South Asia and West Asia. It is estimated that GDM in Asian countries ranges from 1.2 to
49.5% (Figure 2). The available reports on the incidence of GDM provide very diverse data,
which may be related to the divergence in the methods of estimating the prevalence and
different diagnostic criteria in individual countries [205].
Int. J. Environ. Res. Public Health 2022, 19, x FOR PEER REVIEW 19 of 34
Figure 2. Gestational diabetes mellitus in Asiathe estimated prevalence is shown in percentages
across the countries, 2022.
7.1. Central Asia
Central Asia is a region, that includes Kyrgyzstan, Kazakhstan, Uzbekistan, Tajiki-
stan and Turkmenistan.
7.1.1. Turkmenistan
In Turkmenistan, between March 2008 and March 2011, Parhofer et al. conducted a
screening program to assess the incidence of GDM. A total of 1738 pregnant women took
part in the test which relied on a 50 g GCT. All of the participants were at 34 weeks of
gestation. If the glucose reference value was 7.8 mmol/L (≥140 mg/dL), an OGTT with 75
g oral glucose should be performed. The disease was recognized when 1 glucose values
were abnormal; 5.0 mmol/L (≥90 mg/dL) at 0 min, ≥10.0 mmol/L (180 mg/dL) at 60 min
and 8.0 mmol/L (≥144 mg/dL) at 120 min. A positive screening test was confirmed in 22.7%
of the patients. A total of 70 % of them underwent an OGTT test, and 39.5% of the women
were diagnosed with GDM. The overall prevalence was assessed at 6.3% [206].
7.1.2. Tajikistan
Figure 2.
Gestational diabetes mellitus in Asia—the estimated prevalence is shown in percentages
across the countries, 2022.
Int. J. Environ. Res. Public Health 2022,19, 15804 18 of 32
7.1. Central Asia
Central Asia is a region, that includes Kyrgyzstan, Kazakhstan, Uzbekistan, Tajikistan
and Turkmenistan.
7.1.1. Turkmenistan
In Turkmenistan, between March 2008 and March 2011, Parhofer et al. conducted
a screening program to assess the incidence of GDM. A total of 1738 pregnant women
took part in the test which relied on a 50 g GCT. All of the participants were at 34 weeks
of gestation. If the glucose reference value was
7.8 mmol/L (
140 mg/dL), an OGTT
with 75 g oral glucose should be performed. The disease was recognized when
1 glucose
values were abnormal;
5.0 mmol/L (
90 mg/dL) at 0 min,
10.0 mmol/L (
180 mg/dL)
at 60 min and
8.0 mmol/L (
144 mg/dL) at 120 min. A positive screening test was
confirmed in 22.7% of the patients. A total of 70 % of them underwent an OGTT test, and
39.5% of the women were diagnosed with GDM. The overall prevalence was assessed at
6.3% [206].
7.1.2. Tajikistan
In Tajikistan the WHO 2013 guidelines are used to detect GDM. Between September
2015 and November 2017 Pirmatova et al. conducted a cohort-study of 2438 pregnant
women. The patients were between 24–28 weeks of gestation. Referring to the WHO 2013
criteria, the scientists found a very high rate of GDM in Tajikistan which was approximately
32.4%. The patients with GDM were older, and had a higher BMI [207].
7.1.3. Kyrgyzstan
Unfortunately, today, no data exist that could assess the prevalence of GDM. It is
speculated that the occurrence of GDM may be estimated to a similar degree as that in
Turkmenistan [208].
7.1.4. Uzbekistan
Between 2017 and 2020 the international project “Strategy for the Prevention and
Monitoring of GDM in Uzbekistan was performed. According to the recommendations
of the ADA 2015, an OGTT test with 75 g of glucose was conducted. After 60 min, a
significantly high level of glucose was observed in 53.7% of the participants. A total
prevalence was assessed at 10.5% [209].
7.1.5. Kazakhstan
At the moment, there are no statistically reliable data regarding the prevalence, guide-
lines and risk factors for GDM in women living in Kazakhstan [210].
7.2. North Asia
Siberia
At present, there are no scientific studies that could describe the incidence of GDM in
the Siberian population [211].
7.3. South Asia
The South Asian Federation of Endocrine Societies (SAFES) includes The Endocrine
Society of Bangladesh, Endocrine Society of India, Diabetes and Endocrine Association
of Nepal, Pakistan Endocrine Society, and Endocrine Society of Sri Lanka. At the turn of
2015 new recommendations for the diagnosis and treatment of GDM were issued and the
disease itself was made a health priority [212].
7.3.1. Nepal
During the period from July 2009 to June 2010 in three districts of Nepal Thapa et al.
conducted a study with the main aim of assessing the prevalence of GDM. According to
Int. J. Environ. Res. Public Health 2022,19, 15804 19 of 32
the WHO criteria approximately 2.5% had GDM and while using the IADPSG criteria 6.6%
had positive results [
213
]. In 2022 Pashupati et al. analyzed 20,865 cases and estimated the
total incidence of GDM at 6.56% using the IADPSG criteria, 4.81% using the (WHO) criteria
and 4.71% using the Diabetes in Pregnancy Study Group of India (DIPSI) guidelines [
214
].
7.3.2. Bangladesh
In Bangladesh, in 2014 Jesmin et al. performed a study in which 3447 pregnant women
took part. The WHO and ADA criteria were used to assess the total prevalence of GDM.
The results were 9.7% according to the WHO 1999 guidelines and 12.9% according to the
ADA criteria [
215
]. Between 2017 and 2018 an attempt to evaluate the national incidence of
GDM was made. The overall prevalence of GDM in Bangladesh was 35% (95/272) [216].
7.3.3. Sri Lanka
In Sri Lanka two Medical Offices of Health (MOH) conducted a cross-sectional study
between January 2014 and March 2015. A GDM diagnosis was based on a fasting 75 g OGTT
according to the WHO 1999. Positive results were noted in 13.9% of the participants [217].
After adopting the IADPSG criteria to diagnose GDM, the total prevalence of the disease
was 31.2% [218].
7.3.4. Pakistan
Between January and August 2017 Wali et al. conducted a study with the main goal
of assessing the prevalence of GDM and 21.8% of pregnant women were diagnosed with
GDM [219].
7.3.5. India
The year 2014 was a breakthrough for India when the Government of India (GoI)
mandated universal GDM screening for all pregnant women as part of essential obstetric
care within the Reproductive and Child Health (RCH) program. At that time a pooled
GDM prevalence was assessed at 8.9%. In 2018 subset meta-analyses showed that the
IADPSG diagnostic criteria found significantly more GDM cases with a total incidence of
19.19% in comparison to the WHO 1999 criteria at 10.13%. The DIPSI criteria estimated the
total prevalence of GDM at 7.37% [220].
7.4. East Asia
7.4.1. South Korea
Over the period 2007–2011 data obtained from the Health Insurance Review and
Assessment (HIRA) database were analyzed in terms of women’s age, and the number of
pregnancies in particular years. The results showed that the incidence of GDM during that
period was 7.5% in 2009–2011, 5.7% in 2009, 7.8% in 2010, and 9.5% in 2011 [
221
]. Between
2012 and 2016 Jung et al. performed a cross-sectional study on the basis of which the
GDM occurrence was assessed at 11.1% [
222
]. Cha et al. performed a study in 2022 which
main goal was to simplify the diagnosis of GDM. In South Korea the two-step approach
according to the ACOG (a universal 50 g OGTT followed by diagnostic 100 g 3-h OGTT) is
used to diagnose GDM. The medical histories of 1441 pregnant women were analyzed. If a
glucose value
7.8 mmol/L (
140 mg/dL) obtained via the screening with a 50 g glucose
load was considered to be positive, a diagnostic 100 g OGTT test had to be performed as the
next step. The C&C criteria for a GDM diagnosis were used. A total of 93 out of 423 (22%)
in this group were diagnosed with GDM according to the C&C criteria. The upper cutoff
for a GDM diagnosis in the 50 g OGTT was >12.3 mmol/L (>222 mg/dL), and the lower
was <7.3 mmol/L (<131 mg/dL). Previous studies using upper cut-offs in the 50 g OGTT
suggested 185, 220, 228, or 230 mg/dL as the upper cutoff for the omission of the
100 g
OGTT. The scientists proposed a 12.3 mmol/L (222 mg/dL) level in the 50 g OGTT [223].
Int. J. Environ. Res. Public Health 2022,19, 15804 20 of 32
7.4.2. Japan
In 2010 the Japan Society of Obstetrics and Gynecology (JSOG) changed the diagnostic
guidelines for detecting GDM to the IADPSG criteria [
224
]. Six years later a diagnosis of
GDM was determined using the criteria of the Japan Diabetes Society (JDS) and a total
prevalence was assessed at 2.30% [
225
]. In 2018 two tests for detecting GDM in pregnant
women were compared. The percentage of women screened using 5.3 mmol/L (95 mg/dL)
as the cut-off value for random plasma glucose was significantly higher in comparison to
those who were tested using 5.55 mmol/L (100 mg/dL) as the cut-off value for random
plasma glucose (2.7% and 6.9%, p< 0.0001). Moreover, women who were screened for
GDM using random plasma glucose and a 50 g GCT had a significantly higher incidence of
GDM (6.6% vs. 8.9%, p< 0.0001) [226].
7.4.3. China
In China guidelines such as the IADPSG/China, WHO 2013, ADA 2012, ADA 2014,
C-C ACOG and WHO 1999 are used to diagnose GDM. In 2019 He et al. performed a study
that evaluated how different GDM diagnostic criteria influenced the national prevalence
of GDM. They used data collected from women undergoing a 2-h, 75 g OGGT at 24–28
gestational weeks from January 2011 to December 2017 and they developed the results
using different criteria (i.e., the 7th edition textbook criteria, NDDG 1979, WHO 1985,
European Association for the Study of Diabetes 1996, Japan 2002, ADA 2011, and NICE
Excellence 2015 criteria). The incidence of occurrence of GDM based on the ADA 2011 and
NICE were 22.94% and 21.72%, over threefold higher than implementing the 7th edition
textbook criteria. The incidence rates of GDM diagnosed with the NDDG1979 and WHO
1985 guidelines were significantly less than the 7th edition textbook criteria [227].
7.5. Southeast Asia
According to a report conducted in 2019 the overall prevalence of GDM was described
for: Thailand and Singapore (24.7% vs. 23.5%), Malaysia (22.5%) and Vietnam (21.3%).
Over the years 2010–2020 Malaysia used guidelines to detect GDM such as: theMalaysia
MOE/NICE, WHO 1985, WHO 1994 and DIPSI or WHO 1999. Vietnam adopted the criteria
of the IADPSG/China, WHO 2013, ADA 2012 and ADA 2014. The screening tests and
recommendation followed by Singapore were: the IADPSG/China, WHO 2013, ADA 2012,
ADA 2014, ADA 2007 and the 4th International Workshop-Conference on GDM [
228
]. In
some regions of Southwest Asia HbA1c is used. Tests that can also be widely used are the
one-step method comprising a 75 or 100 g OGTT and the two-step method with a 50 g OGT.
In Thailand the most frequently used method was the one-step approach [229].
The 100 g, three-hour OGTT was believed to be the gold standard in Southeast Asia to
detect GDM in pregnant women [
229
]. Based on the plasma glucose level two methods
are distinguished—the C&C values and the NDDG values [
228
]. To confirm GDM two
abnormal parameters are needed. In Thailand, an increase in the prevalence of GDM from
22.2% to 32.76% was observed when changing from the C&C criteria to the NDGG criteria.
The researchers showed that the most valuable screening test in Thailand was the 100 g,
two-hour OGTT [
229
]. In Vietnam GDM was diagnosed in 6.1% using the ADA criteria and
in 20.3% using the IADPSG criteria [
230
]. The WHO diagnostic criteria were established
in 2013. They include the 75-g, two-hour OGTT test. The new guidelines for detecting
GDM lower the total prevalence of the disease in Singapore [
231
]. Many scientific studies
emphasize the greater legitimacy of using a two-hour OGTT instead of a three-hour OGTT.
Recently there has still been a lack of consensus regarding the use of diagnostic criteria
for GDM in Southeast Asia. Lowering the two-hour OGTT threshold values may detect
more cases of GDM and enable the use of an appropriate treatment as soon as possible [
228
].
7.6. West Asia
In the western part of Asia, the one-step test to detect GDM is mostly used in countries
such as Saudi Arabia, Quatar, Yeman, and the UAE. The two-step test is more popular in Oman,
Int. J. Environ. Res. Public Health 2022,19, 15804 21 of 32
Bahrain and Turkey [
2
]. The use of different screening methods for GDM for each country is
as follows: Yeman—WHO 1998 and ADA 2002 criteria; Quatar—WHO 2006, IADPSG/China,
WHO 2013, ADA 2012, ADA 2014, and ADA 2004;
Saudi Arabia—IADPSG/China
, WHO 2013,
ADA 2012, ADA 2014, C-C ACOG, ADA 2011, and ADA 2007; Iran—Kuwait self-report
GDM, IADPSG/China, WHO 2013, ADA 2012, ADA 2014, C-C, and ACOG;
Kuwait—Kuwait
self-report GDM; Turkey—C-C ACOG; Turkey—NDDG, IADPSG/China, WHO 2013, ADA
2012, ADA 2014, C-C, and ACOG; Bahrain—NDDG, ADA 2007;
Oman—Oman
self-defined
guidelines [2,232].
7.6.1. Saudi Arabia
Saudi Arabia is on the top ten countries in the world with the highest prevalence
of T2DM. It is estimated that the highest GDM prevalence is approximately 49.5%. The
incidence of GDM was higher in the 31–35 age group. The reason for such a high score may
be a genetic predisposition to insulin resistance compared to Caucasians. Within the same
country, different diagnostic criteria were used to diagnose GDM. Furthermore, different
cut-off values of 5.1 mmol/L 92 mg/dL or 5.3 mmol/L 95 mg/dL for the 75 g OGTT were
used [2].
7.6.2. Oman
In 2013 Oman introduced new criteria to detect GDM. A total of 613 Omani women
took part in a study conducted by Subshi et al., which was based on the current diagnostic
criteria, and the incidence of GDM was 48.5%. It dropped to 26.4% when applying the
new WHO criteria [
232
]. In another study performed by Chitme, the glucose profile,
family history, anthropometric profile, and age of first pregnancy were analyzed. Patients
who had a fasting plasma glucose
5.6 mmol/L and/or two-hour-oral glucose tolerance
test 7.8 mmol/L
were considered to have GDM. Eleven percent of pregnant women
developed GDM [233].
7.6.3. Kuwait
In Kuwait the occurrence of GDM is commonly associated with poor maternal, fetal,
and neonatal outcomes. In 2019 a cross-sectional study was conducted and 947 pregnant
women took part in the screening. Of the 868 mothers with no prior history of diabetes
mellitus, 109 reported were given a GDM diagnosis, resulting in 12.6% [234].
7.6.4. Qatar
Out of a total of 17,020 live births in 2017, 5195 newborns were born to Qatari women.
Of these, 1260 were born to women with GDM. The prevalence of GDM in the Qatari
population in 2017 was 24.25%. The HbA1C% before delivery was significantly higher in
women with GDM in comparison to healthy ones. A higher maternal age and obesity were
significantly associated with an increased risk of GDM [235].
7.6.5. Iran
In Iran during 2015–2016, 1010 pregnant women took part in a screening program.
The risk of GDM was 10.1%. Due to the political situation no recent data concerning GDM
prevalence exist [236].
7.6.6. Iraq
The GDM prevalence in 2014 in Iraq was estimated on 7% [
237
]. In 2020 120 pregnant
women took part in a study, in which approximately 13.3% GDM was detected [238].
7.6.7. Bahrain
In 2012, GDM was assessed at 10.1%. Between 2002 and 2010, there was an increase
in GDM detection from 7.2% to 12.5%. The main risk factors are weight and maternal
age [239].
Int. J. Environ. Res. Public Health 2022,19, 15804 22 of 32
7.6.8. Palestine
A prevalence of DM in Palestine was estimated at 20.8% in 2020. GDM is hard to
assess [240].
7.6.9. Jordan
In Jordan between 2015 and 2016, the GDM prevalence was assessed on 13.5%. Mater-
nal age, parity, gravidity, maternal BMI and pre-pregnancy BMI were risk factors [241].
7.6.10. Yeman
In 2019, it was assessed that approximately 3.9% of women had GDM. A family history
of GDM, age > 30 years, history of PCOS, and previous GDM were risk factors. Due to the
political situation no recent data concerning GDM prevalence exist [242].
7.6.11. United Arab Emirates (UAE)
In the UEA different kind of criteria for diagnosis GDM exist. The prevalence of GDM
in the UAE varies from 7.9 to 37.7%. The main risk factors for GDM development are parity,
obesity, and glucose intolerance in young girls [242].
7.6.12. Lebanon
No data exist concerning GDM prevalence [243].
7.6.13. Syria
No data exist concerning GDM prevalence [243].
8. Conclusions
Analyzing data from all over the world (Table S1) we wanted to show that a lot of
work is needed to achieve a consensus in the diagnostics of GDM. New studies are crucial
to finding a solution. We hope that they will confirm and persuade scientists to choose the
best method to diagnose GDM.
Although today we detect GDM radically differently than in earlier centuries—the
disease is still a serious challenge for medicine around the world. Looking at the history
of diabetes, we are sure that more than one evolution in GDM diagnosis will occur, due
to the development of medicine, appearance of modern technologies and the dynamic
continuation of research.
Supplementary Materials:
The following supporting information can be downloaded at: https:
//www.mdpi.com/article/10.3390/ijerph192315804/s1, Table S1: Screening criteria according to
countries and continents.
Author Contributions:
Conceptualization and methodology, D.F.D. and B.L.-G.; formal analysis,
D.F.D. and B.L.-G.; data curation, M.R., G.R., K.P., K.B. and D.F.D.; writing—original draft preparation,
D.F.D., M.R., G.R., K.P., K.B. and B.L.-G.; writing—review and editing, all authors. All authors have
read and agreed to the published version of the manuscript.
Funding: This research received no external funding.
Conflicts of Interest: The authors declare no conflict of interest.
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... Maternal age ≥ 25 A recent review that analyzed data from all over the world about the prevalence and modifications to the screening criteria for GDM across all continents showed the lack of a universal consensus on screening and diagnosis criteria for GDM [9]. ...
... Most international guidelines recommend screening for GDM in all pregnant women between 24 and 28 weeks of gestation [3,[8][9][10], except the National Institute for Health and Care Excellence (NICE) guideline, which recommends screening for GDM only among high-risk-factor women [11] (see Table 2). In the United States of America, according to the ADA, two strategies can be used to diagnose GDM: the one-step 75 g OGTT or the two-step method with a no fasting screen of 50 g, followed by a 100 g OGTT for screened positive patients (see Table 2) [1,9]. ...
... Most international guidelines recommend screening for GDM in all pregnant women between 24 and 28 weeks of gestation [3,[8][9][10], except the National Institute for Health and Care Excellence (NICE) guideline, which recommends screening for GDM only among high-risk-factor women [11] (see Table 2). In the United States of America, according to the ADA, two strategies can be used to diagnose GDM: the one-step 75 g OGTT or the two-step method with a no fasting screen of 50 g, followed by a 100 g OGTT for screened positive patients (see Table 2) [1,9]. This two-step method was also adopted by the ACOG [3,9]. ...
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Citation: Braverman-Poyastro, A.; Suárez-Rico, B.V.; Borboa-Olivares, H.; Espino y Sosa, S.; Torres-Torres, J.; Arce-Sánchez, L.; Martínez-Cruz, N.; Reyes-Muñoz, E. Antepartum Fetal Surveillance and Optimal Timing of Delivery in Diabetic Women: A Narrative Review. J. Clin. Med. 2024, 13, 313. https://doi.org/10.3390/ Abstract: Antepartum fetal surveillance (AFS) is essential for pregnant women with diabetes to mitigate the risk of stillbirth. However, there is still no universal consensus on the optimal testing method, testing frequency, and delivery timing. This review aims to comprehensively analyze the evidence concerning AFS and the most advantageous timing for delivery in both gestational and pregestational diabetes mellitus cases. This review's methodology involved an extensive literature search encompassing international diabetes guidelines and scientific databases, including PubMed, MEDLINE, Google Scholar, and Scopus. The review process meticulously identified and utilized pertinent articles for analysis. Within the scope of this review, a thorough examination revealed five prominent international guidelines predominantly addressing gestational diabetes. These guidelines discuss the utility and timing of fetal well-being assessments and recommendations for optimal pregnancy resolution timing. However, the scarcity of clinical trials directly focused on this subject led to a reliance on observational studies as the basis for most recommendations. Glucose control, maternal comorbidities, and the medical management received are crucial in making decisions regarding AFS and determining the appropriate delivery timing.
... O'Sullivan was the first person who used this term, in 1961 [1]. The global GDM prevalence in the world population is estimated at 14.0% [2], but it depends on the country (from 2.2% in Sweden to 49.5% in Saudi Arabia) [3]. ...
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Gestational diabetes mellitus (GDM) is an intolerance of carbohydrate of any degree, which appears for the first time or is diagnosed during pregnancy. The objective of this study is to assess the differences in circular RNA (circRNA) in a Polish pregnant population with and without GDM. A total of 62 pregnant women, 34 with GDM and 28 controls, were enrolled in the study. Total RNAs were extracted from plasma and reverse transcription to complementary DNA (cDNA) was performed. A panel covering 271 amplicons, targeting both linear and circular as well as negative control gene transcripts, was used. Next-generation sequencing was used to evaluate the circRNA quantity. Data analysis was performed using the Coverage Analysis plugin in the Torrent Suite Software (Torrent Suite 5.12.3). A two-step normalization was performed by dividing each transcript read count by the total number of reads generated for the sample, followed by dividing the quantity of each transcript by β-actin gene expression. Both circular and linear forms of RNAs were independently evaluated. A total of 57 transcripts were dysregulated between pregnant women with GDM and controls. Most of the targets (n = 25) were downregulated (cut-off ratio below 0.5), and one target showed a trend toward strong upregulation (ratio 1.45). A total of 39 targets were positively correlated with fasting plasma glucose (FPG), but none of the tested targets were correlated with insulin, CRP or HOMA-IR levels. Among the pregnant women with gestational diabetes, the relative quantity of hsa_circ_0002268 (PHACTR1) was approximately 120% higher than among healthy pregnant women: 0.046 [0.022–0.096] vs. 0.021 [0.007–0.047], respectively, (p = 0.0029). Elevated levels of hsa_circ_0002268 (PHACTR1) might be specific to the Polish population of pregnant women with GDM, making it useful as a potential molecular biomarker in the management of GDM in Poland.
... A prevalência do DMG aumentou mais de 30% em uma ou duas décadas em vários países, incluindo países em desenvolvimento, tornando-se uma doença emergente em todo o mundo (Dłuski et al., 2022;Ferrara, 2007). E este dado no Brasil se torna variável em diferentes cidades e regiões, pois o país abrange um vasto território, e possui uma grande população com diferenças de etnias, dietas e hábitos de vida (Sampaio et al., 2020). ...
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O Diabetes Gestacional é uma doença que afeta especificamente as mulheres devido às consequências das mudanças fisiológicas da gestação, podendo ocorrer pelas alterações responsáveis pela criação de resistência do organismo à insulina ou pela resposta autoimune do corpo contra as células β do pâncreas. O objetivo do presente estudo foi verificar a prevalência e os fatores de risco do diabetes gestacional em gestantes brasileiras. Os métodos utilizados no presente estudo referem-se a um estudo de revisão integrativa da literatura, onde houve a utilização dos periódicos indexados nos bancos de dados da Biblioteca Virtual em Saúde (BVS), Centro Latino-Americano e do Caribe de Informação em Ciências da Saúde (LILACS), Medical Literature Analysis and Retrieval System Online (MEDLINE), IBECS e Pubmed. Perante os resultados encontrados, a amostra foi composta por nove artigos, onde foi observado que a prevalência de DM gestacional se concentrou na região Sudeste (55,56%), em seguida, a Região Sul (33,33%) e por fim, a região Nordeste (11,11%). Portanto, conclui-se que os fatores de risco que mais acometem as mulheres com DMG são: a obesidade e sobrepeso. Desta forma, foi possível considerar que os achados são preocupantes, demonstrando a carência no consumo de alimentos saudáveis, o que impacta diretamente na saúde da gestante, contribuindo significativamente no surgimento da DMG.
... Currently, the traditional model is used for diagnosing GDM. Screening tests may vary slightly depending on the health care provider but generally include: initial glucose challenge test, where a blood sugar level of 190 milligrams per deciliter (mg/dL) or 10.6 millimoles per liter (mmol/L) indicates gestational diabetes [31,32]. A blood sugar level below 140 mg/dL (7.8 mmol/L) is usually considered within the standard range on a glucose challenge test, although this may vary by clinic or lab. ...
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(1) Background and Objective: Excessive gestational weight gain is associated with serious complications such as pre-eclampsia, fetal macrosomia and a more frequent need for cesarean section. The aim of this study is to develop a simple screening model that includes maternal age, BMI and nutritive habits in the second trimester in order to predict the risk of GDM in the population of pregnant women in the territory of the Republic of Serbia. (2) Materials and Methods: This single-center, prospective and case–control study was performed in the University Clinical Center “Dr. Dragisa Misovic Dedinje”, Belgrade, Serbia and included 54 women with singleton pregnancies during the second trimester from July 2023 to November 2023. We used basic demographic and socio-epidemiological data, as well as data of the present comorbidities and previous pregnancies/births. The Serbian version of the Nutritive Status Questionnaire (NSQ) was used to estimate the nutritive habits in GDM (n = 22) and non-GDM groups (n = 32). (3) Results: We observed less frequent vegetable and fruit consumption in the GDM group in comparison with the non-GDM group; meat and chicken intake was 2–3 times per week in both groups; meat products were consumed 2–3 times per week in the GDM group and 2–3 times per month in the non-GDM group; milk products were consumed once a day in 31.8% of GDM patients and twice per day in 24.1% of non-GDM patients. Sweets (cakes, ice creams, biscuits) were consumed very often (2–3 times per week) in the GDM group (36.4%), while in the non-GDM group this habit was less frequent (26.7%). Cronbach alpha and internal consistency for this instrument were very good (Cronbach alpha = 0.87). (4) Conclusions: We have found that a non-adequate intake of fruits/vegetables, dairy and whole grain, as well as an excessive intake of sugar/artificially sweetened beverages and dairy, was associated with a higher risk of gestational diabetes mellitus (OR = 0.04; 95% CI).
... The incidence of GDM in our population is consistent with previous European studies [27,28]. In addition, a recent meta-analysis indicated that the overall weighted prevalence of GDM in a total of 24 European countries was 10.9% [29]. ...
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Gestational diabetes mellitus (GDM) is a significant health concern with adverse outcomes for both pregnant women and their offspring. Recognizing the need for early intervention, this study aimed to develop an early prediction model for GDM risk assessment during the first trimester. Utilizing a prospective cohort of 4917 pregnant women from the Third Department of Obstetrics and Gynecology, Aristotle University of Thessaloniki, Greece, the study sought to combine maternal characteristics, obstetric and medical history, and early pregnancy-specific biomarker concentrations into a predictive tool. The primary objective was to create a series of predictive models that could accurately identify women at high risk for developing GDM, thereby facilitating early and targeted interventions. To this end, maternal age, body mass index (BMI), obstetric and medical history, and biomarker concentrations were analyzed and incorporated into five distinct prediction models. The study’s findings revealed that the models varied in effectiveness, with the most comprehensive model combining maternal characteristics, obstetric and medical history, and biomarkers showing the highest potential for early GDM prediction. The current research provides a foundation for future studies to refine and expand upon the predictive models, aiming for even earlier and more accurate detection methods.
... Moreover, a large amount of literature has confirmed that insulin aspart treatment can greatly reduce nesfatin-1, CTRP12, and blood glucose levels. [31,32] Another study found that the incidence of adverse pregnancy and perinatal outcomes in patients with GDM is greatly reduced by dietary interventions and insulin aspart treatment. [33] The results of this study showed that, after treatment, the proportion of adverse pregnancy outcomes in the observation group was significantly lower than that in the control group, and the proportions of premature infants, macrosomia, fetal distress, neonatal asphyxia, and neonatal hypoglycemia in the observation group were significantly lower than those in the control group. ...
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To analyze the effects of dietary intervention combined with insulin aspart on the serum levels of nesfatin-1, C1q/TNF related protein-12 (CTRP12), and pregnancy outcomes in pregnant women with gestational diabetes mellitus (GDM). In this retrospective cohort study, 513 women with GDM admitted to Tangshan Central Hospital (Tangshan, China) between January 2019 and December 2022 were selected and divided into an observation group (dietary intervention combined with insulin aspart therapy; n = 284) and a control group (insulin aspart therapy, n = 229). The general characteristics, clinical outcomes, serum nesfatin-1 and CTRP12 levels, 2-hour postprandial blood glucose levels, pregnancy outcomes, and perinatal outcomes of the 2 groups were compared. After treatment, the total effective rate in the observation group was significantly higher than that of the control group (97.54% vs 86.03%, respectively; P < .001). Compared with the pretreatment levels, nesfatin-1 and CTRP12 levels were decreased in both groups; nesfatin-1 and CTRP12 levels in the observation group were significantly higher than those in the control group. After treatment, the preprandial and 2-hour postprandial blood glucose levels in the observation group were significantly lower than those in the control group. Compared with the control group, the observation group had significantly fewer cesarean sections, and a significantly lower incidence of postpartum hemorrhage, premature rupture of membranes, and other adverse pregnancy outcomes. After treatment, the risks of preterm birth, macrosomia, fetal distress, neonatal asphyxia, neonatal hypoglycemia, and other adverse perinatal outcomes were significantly lower in the observation group than in the control group. In pregnant women with GDM, dietary intervention combined with insulin aspart can improve clinical outcomes; reduce nesfatin-1, CTRP12, and blood glucose levels; and reduce the incidence of adverse pregnancy outcomes.
... Diabetes is the leading public health issue associated with other clinical complications [30,31]. This is also true when it manifests as GDM, as it negatively influences pregnancy outcomes and even natal mortality [32][33][34]. GDM refers to glucose intolerance during 24-28 weeks of gestation and may cause short-or long-term health issues for both mother and fetus [35,36], such as psychological issues in the mother, fetal death, stillbirth, etc. [37,38]. Compared to T1DM and T2DM, the causes and comorbidities of GDM and NDM are not fully understood [39]. ...
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Background: Diabetes Mellitus (DM) is a common disorder affecting people of all ages, from neonates to seniors, and even occurs during pregnancy. In addition to type 1 (T1DM) and type 2 (T2DM), the rate of gestational diabetes mellitus (GDM) and neonatal diabetes mellitus (NDM) is dramatically increasing. Interestingly, the genetic causes and relationship between GDM and NDM are not yet established, especially in the Arab population. Therefore, the prevalence of ABCC8 and KCNJ11 variants (well-known genetic causes of NDM) in Saudi neonates were explored and also analyzed for the influence of a history of parental diabetes and GDM on NDM. Methods: A total of 1101 Saudi pregnant women and their newborns were included in the study. Serum glucose levels were measured in mothers and neonates, while genetic screening for ABCC8 and KCNJ11 variants was performed for neonates only. Results: Among the 1101 neonates' families, 59 (5.4%) mothers and 36 fathers (3.3%) had a history of type 1-DM (T1DM), whereas 35 (3.2%) mothers and only one father had a history of type-2 DM (T2DM). Furthermore, the prevalence of GDM was 8.1%. Only one hyperglycemia (NDM suspect) case was detected, with no physical abnormalities. Additionally, no association between GDM and NDM was observed. Genotyping of the neonates for KCNJ11 and ABCC8 genes revealed a homozygous mutant (GG) form of the rs80356611 KCNJ11 in only one neonate. All other tested polymorphisms rs193929358 (KCNJ11) and rs193922402, rs377686759, and rs143557848 of (ABCC8) produced single normal genotype. Conclusions: The data of this study showed that GDM is not associated with NDM in Saudi neonates and suggest that genetic screening in larger samples may show the role of KCNJ11 and ABCC8 variants in developing neonatal and postnatal diabetes.
... In Poland, it is 6.2%. The prevalence in North America and the Caribbean is assessed as 7.1%, in South America and Central America 10.4%, and in Asian countries, it ranges from 1.2 to 49.5% [4]. ...
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The diagnosis of gestational diabetes mellitus provokes a change in a pregnant woman’s lifestyle, which may affect her well-being and precipitate a sense of loss of self-control over her own body. The perception of “body image” is not only physical appearance and physical attractiveness but also the emotional attitude to the body and beliefs about it. The aim of the study was to analyze the factors affecting body esteem and analyze the relationship between body esteem and self-efficacy in pregnant women with gestational diabetes mellitus. The study was conducted in the period from April 2019 to January 2021 among 287 women with gestational diabetes mellitus with the use of the following research tools: Body Esteem Scale (BES) and Generalized Self-Efficacy Scale (GSES). The explanatory variables for the sexual attractiveness variable were age (β = 0.252; p = 0.006) and education (β = 0.334; p = 0.007), for the weight concern variable were age (β = 0.161; p = 0.005), BMI (β = 0.334; p = 0.005), and education (β = 0.252; p = 0.033), for the physical condition variable, were age (β = 0.096; p = 0.004) and education (β = 0.213; p = 0.006). Positive correlations were found between self-efficacy and body esteem in the aspects of sexual attractiveness (p = 0.350), weight concern (p = 0.296), and physical condition (p = 0.286). Positive correlations were found between self-efficacy and body esteem in the aspects of sexual attractiveness (p = 0.350), weight concern (p = 0.296), and physical condition (p = 0.286). Older women who had better education and a lower BMI rated their bodies better. In women with gestational diabetes mellitus, high self-efficacy determines a better perception of their bodies in all areas: sexual attractiveness, weight concern, and physical condition.
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Diabetes is a significant health issue that has reached alarming levels. Without sufficient action to address the situation, there is the prediction that 643 million people will have diabetes by 2030 (11.3% of the population), according to the International Diabetes Federation. According to the latest recommended diagnostic criteria of the World Health Organization (WHO) and the International Association of Diabetes and Pregnancy Study Groups (IADPSG) from 2013 for hyperglycaemia in pregnancy, it is expected that the GDM prevalence will be significantly higher in the following period. Pregnancy hyperglycaemia is associated with numerous short- and long-term complications in the mother, fetus and neonate. Early diagnosis and treatment of GDM, may significantly reduce the frequency and severity of perinatal complications. Thyroid dysfunction is the second most common endocrine women's disorder, with an incidence of about 4% in the pregnant population, with hypofunction significantly more prevalent. According to our clinical experience, there is an increase in the number of patients with thyroid disorders. This study aimed to evaluate the clinical utility of the subclinical hypothyroidism marker, elevated thyroid-stimulating hormone, and thyroid antibodies, in their ability to predict subsequent gestational diabetes mellitus.
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Purpose: Our previous studies have suggested that the first trimester fasting plasma glucose (FPG) level is associated with gestational diabetes mellitus (GDM) and is a predictor of GDM. The aim of the present study was to provide valuable insights into the accuracy of the first trimester FPG level in the screening and diagnosis of GDM in southern China. Methods: This retrospective study included pregnant women who had their first trimester FPG level recorded at 9-13+6 weeks and underwent screening for GDM using the 2-h 75 g oral glucose tolerance test (OGTT) between the 24th and 28th gestational weeks. Differences between the GDM and non-GDM groups were assessed by Student's t test and the chi-squared test according to the nature of the variables. A restricted cubic spine was used to explore the relationship between the first trimester FPG level and the odds ratio (OR) of GDM in pregnant women. Cut-off values of first trimester FPG were determined using receiver operating characteristic (ROC) curves and the area under the curve (AUC), and 95% confidence intervals (CIs), the positive predictive value (PPV) and the negative predictive value (NPV) were calculated. Results: The medical records of 28,030 pregnant women were analysed, and 4,669 (16.66%) of them were diagnosed with GDM. The average first trimester FPG level was 4.62 ± 0.37 mmol/L. The OR of GDM increased with increasing first trimester FPG levels and with a value of first trimester FPG of approximately 4.6 mmol/L, which was equal to 1 (Chi-Square = 665.79, P < 0.001), and then started to increase rapidly afterwards. The ROC curve for fasting plasma glucose in the first trimester (4.735 mmol/L) for predicting gestational diabetes mellitus in pregnant women was 0.608 (95% CI: 0.598-0.617), with a sensitivity of 0.490 and a specificity of 0.676. Conclusion: Based on the research, we recommend that all pregnant women undergo FPG testing in the first trimester, particularly at the first antenatal visit. Furthermore, we suggest that the risks of GDM should be given increased attention and management as soon as the first trimester FPG value is more than 4.7 mmol/L. First trimester FPG levels should be considered a screening marker when diagnosing GDM in pregnant women but this needs to be confirmed by more prospective studies. These factors may have a significant impact on the clinical treatment of pregnant women.
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This study aimed to investigate the relationship between gestational diabetes mellitus (GDM) screening methods and GDM incidences. In 2018, a national questionnaire was administered at 231 institutions (56.6%) of all 408 perinatal medical centers in Japan. Of 100,485 women, 2,982 (3.0%) were diagnosed with GDM during their first pregnancy period (FPP) and 7,289 (7.3%) were diagnosed with GDM during their middle pregnancy period (MPP). The proportion of women diagnosed with GDM during FPP and MPP using 95 mg/dL as the cutoff value (CV) for random plasma glucose (PG) at FPP (4.3% and 9.2%) was significantly higher than that of women diagnosed with GDM using 100 mg/dL as the CV for random PG (2.7% and 6.9%, p < 0.0001, respectively). Compared with women screened for GDM using "random PG and random PG," women who were screened for GDM using "random PG and 50-g glucose challenge test (GCT)" had a significantly higher incidence of GDM (6.6% versus 8.9%, p < 0.0001). Using random PG and 50-g GCT, the incidence of GDM among women diagnosed at MPP using a CV of 95 mg/dL at FPP was significantly higher than that of women diagnosed using a CV of 100 mg/dL (16.5% versus 7.8%: p < 0.0001). While, using "random PG and random PG," the incidences of GDM among women were similar between institutions using a CV of 100 mg/dL and those using a CV of 95 mg/dL at FPP (6.7% versus 6.9%: p = 0.3581). This study showed random PG as a first-step screening method in MPP may overlook women with GDM.
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Background: Gestational diabetes mellitus is a condition of glucose intolerance during pregnancy. The burden of Gestational diabetes mellitus is ever increasing including a lower middle-income country like Nepal. Methods: This meta-analysis was conducted in accordance to the guidance of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. Databases of “Embase”, “Google Scholar”, “Scopus”, “Web of Science” were searched for observational studies in Nepal from 2000 to July 2021. Random effect model was used to estimate the pooled prevalence subgroup analysis. Results: This systematic review and meta-analysis analyzed 9 studies with a total of 20865 participants. Pooled prevalence of gestational diabetes mellitus was 2.61% (95% CI: 1.25- 5.37). From subgroup analysis, the prevalence of Gestational diabetes mellitus according to the diagnostic criteria were: International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria 6.56% (95% CI: 4.79-8.92), World Health Organization (WHO) criteria 4.81% (95% CI: 3.79-6.08), Diabetes in Pregnancy Study Group of India (DIPSI) criteria 4.71% (95% CI: 3.06-7.18), Carpenter and Coustan criteria (CC) 1.08% (95% CI: 0.43-2.71); prevalence according to the publication time: before 2015 1.20% (95% CI: 3.64-6.41), in and after 2015 4.84% (95% CI: 0.42-3.39); prevalence according to the place: within Kathmandu valley 2.70% (95% CI: 1.17-6.08), outside Kathmandu valley 2.28% (95% CI: 0.26-17.15). Conclusion: Our study revealed the increasing prevalence of GDM in Nepal. Further large observational studies at local levels are essential to measure the actual burden, risk factors and potential preventive measures for Gestational diabetes mellitus. Keywords: Diabetes in pregnancy; gestational diabetes mellitus; meta-analysis; Nepal; prevalence.
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Introduction: Gestational diabetes mellitus (GDM) is caused by numerous risk factors, the most common being old age, obesity, family history of diabetes mellitus, GDM, history of fetal macrosomia, history of polycystic ovary syndrome or treatment with particular drugs, multiple births, and certain races. The study proposed to analyze the risk factors causing GDM. Method: In the study, we included 97 pregnant women to whom there was an OGTT performed between weeks 24th and 28th of pregnancy, divided into two groups, with GDM and without GDM. The statistical analysis was performed with SPSS 26.0, the tests being statistically significant if p value < 0.05. Results: The favoring risk factors for the onset of GDM were analyzed, with statistically significant differences between the GDM group and the group without GDM related to the delivery age (32.39 ± 4.66 years old vs. 28.61 ± 4.71 years old), history of fetal macrosomia (13.7% vs. 0%), presence of GDM during previous pregnancies (7.8% vs. 0%), HBP before pregnancy (9.8% vs. 0%), gestational HBP (17.6% vs. 0%), glycemia value at first medical visit (79.37 ± 9.34 mg/dl vs. 71.39 ± 9.16 mg/dl), and weight gain during pregnancy (14.61 ± 4.47 kg vs. 12.48 ± 5.87 kg). Conclusions: Identifying the risk factors for the GDM onset has a special importance, implying an early implementation of interventional measures in order to avoid the onset of GDM and associated maternal and fetal complications.
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Gestational diabetes mellitus (GDM) during pregnancy is associated with health complications for both mother and infant, but patient numbers in the Waikato District Health Board region of New Zealand have not been well characterised. This study reviewed the full 2018 cohort of Waikato District Health Board hospital births (n = 4970) to report on GDM prevalence by ethnicity and age. The overall prevalence of GDM was 5.7% and is more likely to affect Asian, Pacific and Māori women as well as those of advanced maternal age.
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Objective Increase in prevalence of maternal obesity worldwide raises concern among health professionals. Our purpose was to evaluate the impact of maternal obesity and of excessive gestational weight gain (GWG) on the course of singleton pregnancies in a French maternity ward. Study design: 3599 consecutive women who delivered from April 2013 to May 2015 at Brest University Hospital were included in HPP-IPF cohort study, a study designed to evaluate clinical and biological determinants of postpartum hemorrhage (PPH). Maternal obesity was defined by a pre-pregnancy Body Mass Index (BMI) ≥ 30 kg/m² and excessive GWG was defined according to the Institute of Medicine 2009 guidelines. Obstetric complications (including gestational diabetes mellitus (GDM), gestational hypertension, pre-eclampsia, venous thromboembolism, PPH, cesarean section (C-section) and macrosomia) were collected prospectively in a standardized case report form. For each complication, Odd Ratios (OR) according to pre-pregnancy BMI and GWG were calculated in univariable and multivariable analyses. Results Out of the 3162 women analyzed for this report, 583 (18.4%) were overweight, 400 (12.7%) were obese and 36.6% had excessive GWG. In multivariable analysis, after adjustment for confounding factors, obese women were at increased risk of GDM (OR 5.83, 95%CI 4.37-7.79), PPH (OR 1.69, 95%CI 1.19-2.41), C-section (OR 2.50, 95%CI 1.92-3.26) and macrosomia (OR 1.90, 95%CI 1.31-2.76). Similarly, women with excessive GWG were at increased risk of GDM (OR 1.55, 95%CI 1.17-2.06), C-section (OR 1.46, 95%CI 1.16-1.83) and macrosomia (OR 2.09, 95%CI 1.50-2.91). Conclusions Maternal obesity and excessive GWG are independent risk factors for GDM, C-section and macrosomia in singleton pregnancies. Further studies are needed to evaluate if a lifestyle intervention aiming at avoiding excessive GWG could improve clinical outcomes in pregnant women.