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Quality of Life among Saudi Diabetics

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Journal of Diabetes Mellitus, 2014, 4, 225-231
Published Online August 2014 in SciRes. http://www.scirp.org/journal/jdm
http://dx.doi.org/10.4236/jdm.2014.43032
How to cite this paper: Al-Shehri, F.S. (2014) Quality of Life among Saudi Diabetics. Journal of Diabetes Mellitus, 4, 225-231.
http://dx.doi.org/10.4236/jdm.2014.43032
Quality of Life among Saudi Diabetics
Fahad S. Al-Shehri
Joint Program of Family Medicine, Abha, KSA
Email: fahdshar@hotmail.com
Received 9 June 2014; revised 5 July 2014; accepted 1 August 2014
Copyright © 2014 by author and Scientific Research Publishing Inc.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/
Abstract
Aim of study: To assess QOL among Saudi diabetics and to identify the possible risk factors asso-
ciated with lower QOL. Patients and Methods: This study comprised 400 diabetic patients attend-
ing the Diabetes Clinic at the University Diabetes Center in Riyadh. They were interviewed using
the Audit of Diabetes Dependent QOL (ADDQOL). Results: Most diabetic patients (78.7%) had neg-
ative (i.e., unfavorable) ADDQOL scores. Diabetic patients' age, education and occupation were not
significantly associated with their QOL. Female patients had significantly worse QOL than male pa-
tients (p = 0.026). Married patients had significantly worse QOL compared with non-married pa-
tients (p = 0.012). Patients with type 2 diabetes had significantly worse QOL than those with type 1
diabetes (p = 0.029). Duration of diabetes was not significant factors as regard their QOL, with the
worst QOL among those with more than 20 years of diabetes. The degree of diabetes control was
significantly and directly associated with QOL score (p < 0.001). The worst QOL was expressed
among poorly controlled diabetes while the best was among patients with excellent control. QOL
of diabetics was less among those who had diabetes complications, i.e., neuropathy (p = 0.03), re-
tinopathy (p < 0.001), and diabetic foot (p = 0.031). However, difference was not significant ac-
cording to those with nephropathy. Conclusions: QOL of Saudi adult diabetic patients is not favor-
able. Personal characteristics associated with worse QOL among diabetics include female gender,
and being married. Disease characteristics associated with worse QOL include being a type 2 di-
abetic and those with uncontrolled diabetes. Main complications associated with worse QOL
among diabetics include retinopathy, diabetic foot and neuropathy.
Keywords
Quality of Life, Diabetes Mellitus, Retinopathy, Nephropathy, Neuropathy, Diabetic Foot
1. Introduction and Aim of Study
As advances in medical technology and new, more aggressive treatments succeeded in increasing survival rates,
attention increasingly turned towards the quality of life (QOL) of patients rather than longevity alone. Today,
F. S. Al-Shehri
226
QOL assessment measures are routinely used to evaluate the human and financial costs and benefits of different
health programs and medical interventions. Health-related QOL (HRQOL) is concerned with QOL within the
specific context of health [1].
The prevalence of diabetes mellitus is reaching epidemic proportions in many parts of the world. It is an in-
creasingly important public health concern. In the United States, diabetes is present in 8% of the adult popula-
tion, and is associated with a two-fold increase in age-adjusted mortality [2]. In many developing countries, in-
cluding Saudi Arabia, the incidence of diabetes is increasing and its prevalence is also approaching epidemic
proportions [3]. In a national Saudi study to assess prevalence of diabetes mellitus between the ages of 30-70-
years, Al-Nozha et al. (2004) [4] reported that 4004 out of 16917 (23.7%) were diagnosed to have diabetes. Di-
abetes mellitus was more prevalent among Saudis living in urban areas of 25.5% compared to rural Saudis of
19.5% (p < 0.00001). Despite the readily available access to healthcare facilities in KSA, a large number of di-
abetics 1116 (27.9%) were unaware of having DM.
Diabetes has detrimental effects on a range of health outcomes including QOL [5]. Almost two decades ago,
Stewart et al. (1989) [6] noted that diabetes impairs all dimensions of health except mental health and pain. In a
more recent multinational study, diabetes was found to have a notable impact on general health [7]. The magni-
tude of impact of diabetes on QOL was reported to be equivalent to that of having cardiovascular conditions,
cancer and chronic respiratory disease [8].
Several studies have demonstrated that diabetes has a strong negative impact on the HRQOL, especially in the
presence of complications [9]-[11]. However, most of the studies on diabetes and QOL have been conducted in
developed countries [12] and studies of the QOL in diabetic patients in developing countries are rare [13] [14].
Since patients perceptions about diabetes and diabetes-related complications may have a significant influence
on their QOL, the relationship between QOL and diabetes mellitus should be elucidated. Hence, this study
aimed to assess QOL among Saudi diabetics and to identify the possible risk factors associated with lower QOL.
2. Patients and Methods
This research followed a hospital-based cross-sectional study design. It was conducted at the “University Di-
abetes Center” in Riyadh. All diabetic patients who fulfilled the inclusion criteria constituted the study popula-
tion. These inclusion criteria were: adult Saudi diabetic patients, whose disease duration is more than one year,
non-pregnant (for females), living in Riyadh. This study comprised 400 diabetic patients.
All diabetic patients included in the present study were interviewed using the “Audit of Diabetes Dependent
Quality Of Life (ADDQOL)”. The ADDQOL was designed by Bradley et al. (1999) [15] to be a reliable and va-
lid instrument for the assessment of QOL. Those who score > 0 are considered to have good QOL, −0.1 to −2.0
have bad QOL, −2.1 to −4.0 have very bad QOL, while those with scores less than −4.0 have extremely bad
QOL.
The questionnaire was translated into simple Arabic language by the researcher. A pilot study was conducted
at the Diabetes Clinic at King Abdul-Aziz University Hospital in Riyadh on 40 diabetic patients who were not
included into the main study. This pilot study aimed to test the clarity of questionnaire’s wording.
Data were collected from patients’ records, concerning their demographic characteristics, last HbA1c level.
The level of control of diabetes was assessed according the level of HbA1C. Those who have their HbA1C < 7
were considered to have excellent diabetes control, those with 7 - 8 have good control, those with 8.1 - 11 have
fair control, while those with >11 have poor control [16]. Diabetes complications were identified by presence of
retinopathy (assessed by history of visual disturbance, history of cataract and fund us examination by an oph-
thalmologist), nephropathy (assessed by proteinuria or raised serum urea and creatinine after exclusion of other
causes), neuropathy (assessed by a history of numbness or decreased sensation and evidence of decreased sensa-
tion or reflexes on neurological examination or evidence of electrophysiological testing). Diabetic foot (assessed
by a history of foot care behavior and foot examination for peripheral neuropathy (PN), peripheral vascular dis-
ease (PVD), and foot deformities. PN was evaluated using the Semmes-Weinstein monofilament test. PVD was
graded by clinical measures and Doppler examination (ankle:brachial index < 0.9)
Data analysis was carried out using the Statistical Package for Social Sciences (SPSS ver. 14.0). Descriptive
statistics were applied (i.e., frequency, percentage, mean and standard deviation). Difference between mean
ADDQOL scores was compared using Student’s and ANOVA tests. Significance level was set at p < 0.05.
F. S. Al-Shehri
227
3. Results
Table 1 shows that less than one fourth of diabetic patients had good QOL (85%, 21.3%), hence, most diabetic
patients (315%, 78.7%) had negative (i.e., unfavorable) ADDQOL scores. Almost half of diabetics had their
scores ranging from very bad (186%, 46.5%) to extremely bad (18%, 4.5%).
Table 2 shows that about half of diabetic patients were females (51.8%), about three fourths aged more than
40 years. Most patients were married (84.5%). Almost one third of patients were illiterate (30.5%), while almost
two thirds were not working (62.5%). Diabetic patients' age, education and occupation are not significant va-
riables as regard their QOL. Female patients had significantly worse QOL (p = 0.026). Married patients had sig-
nificantly worse QOL compared with non-married patients (p = 0.012).
Table 3 shows that most patients were type 2 diabetics, whose duration of diabetes was 10 - 20 years in more
than half of them (56%) and treated with oral hypoglycemic (50.5%). In almost half of cases, diabetes control
was favorable, being either excellent (25%) or good (25.5%). Complications of diabetes were mainly retinopa-
thy (42.5%) or neuropathy (28.3%). Patients with type 2 diabetes had significantly worse QOL than those with
type 1 diabetes (p = 0.029). QOL was less among diabetics with less than 10 years duration of disease, followed
by a relatively better QOL among those with10 - 20 years and then the worse QOL was present among those
with more than 20 years of diabetes. Moreover, oral hypoglycemic treatment was associated with relatively bet-
ter QOL compared with those who were on insulin treatment or those with combined oral hypoglycemic and in-
sulin. However, duration of diabetes as well as the type of treatment was not significant factors as regard their
QOL. The degree of control of disease among diabetics was significantly and directly associated with their QOL
Table 1. Distribution of ADDQOL grades.
ADDQOL Scores No. %
>0 (Good)
85 21.3
0.1to −2.0 (Bad) 111 27.8
2.1 to −4.0 (Very Bad) 186 46.5
<−4.0 (Extremely Bad) 18 4.5
Table 2. Distribution of mean ADDQOL scores according to personal characteristics of study sample.
Variables No. % Mean + SD p-value
Age groups (in years)
<20 20 5.0 1.47 + 1.52
21 - 40 81 20.3 2.56 + 2.03
41 - 60
249
2.55 + 1.95
>60 50 12.5 2.48 + 2.10 0.121
Sex:
Females 207 51.8 2.69 + 2.01
Males
193
2.25 + 1.92
0.026
Marital status
Single 50 12.5 1.84 + 1.61
Married 338 84.5 2.61 + 2.02
Divorced
12
1.61 + 1.43
0.012
Education
Illiterate 122 30.5 2.53 + 1.97
School 187 46.8 2.52 + 2.03
University
91
2.33 + 1.89
0.718
Occupation
Governmental 83 20.8 2.32+1.68
Business 16 4.0 3.63+2.89
Professional
51
2.32+1.82
Unemployed 250 62.5 2.49+2.02 0.097
F. S. Al-Shehri
228
Table 3. Distribution of mean ADDQOL scores according to disease characteristics.
Variables No. % Mean + SD p-value
Type of diabetes
Type 1 57 14.3 1.95 + 1.57
Type 2 343 85.8 2.56 + 2.03 0.029
Duration of diabetes (years)
<10 127 31.8 2.40 + 1.94
10 - 20 224 56.0 2.17 + 1.95
>20 49 12.3 2.72 + 2.20 0.640
Diabetes control
Excellent (HbA1C < 7%) 100 25.0 1.57 + 1.68
Good (HbA1C = 7% - 8%) 102 25.5 2.45 + 1.79
Fair (HbA1C = 8.1% - 11%) 184 46.0 2.88 + 1.98
Poor (HbA1C > 11%) 14 3.5 3.98 + 2.73 <0.001
Diabetes complications
Neuropathy
Yes 113 28.3 2.83 + 2.05
No 287 71.7 2.34 + 1.94 0.030
Retinopathy
Yes 170 42.5 2.88 + 1.98
No 230 57.5 2.18 + 1.93 <0.001
Nephropathy
Yes 43 10.8 2.90 + 1.71
No 357 89.2 2.43 + 2.00 0.142
Diabetic foot
Yes 20 5.0 3.36 + 2.02
No 380 95.0 2.39 + 1.95 0.031
(p < 0.001). The worst QOL was expressed among poorly controlled diabetes while the best was among patients
with excellent control. QoL of diabetics was worse among those who had diabetes complications, i.e., neuropa-
thy (p = 0.03), especially retinopathy (p < 0.001), and diabetic foot (p = 0.031). However, difference was not
significant according to nephropathy.
4. Discussion
This study showed that the majority of Saudi diabetic patients had non-favorable ADDQOL scores. More than
one fifth of patients scored less than −4.0 (i.e., worst QOL).
It has been repeatedly and consistently stated that diabetes has detrimental effects on QOL. Diabetes has been
stated to impair all dimensions of health [5] [7] [17].
This study showed that, as regard patients’ personal characteristics, patientsage, education and occupation
were not significant variables as regard their impact on QOL. On the other hand, female patients had signifi-
cantly worse QOL. This sex-difference could be partly explained by the worse situation of female patients in
respect to the disease and an evidence for gender inequalities in some communities.
In Riyadh, KSA, Abdel-Gawad (2002) [3] reported that males had significantly higher satisfaction. Similar
difference in QOL of both genders was observed in a study conducted in Iran by Aghamollaei et al. (2003) [18].
In western countries, lower QOL in diabetic women was also reported by Rubin and Peyrot (2004) [9] in USA
and Redekop et al. (2002) [19] in the Netherlands.
This study showed that married patients had significantly worse QOL compared with non-married patients.
This finding may be explained by the fact that married diabetic people have more responsibilities and more per-
sons to look after in addition to their disease, compared with those diabetics who are not married.
Laine and Caro (1996) [20] noted that hypoglycemia may harm the marital relationship, academic achieve-
F. S. Al-Shehri
229
ment, and performance on the job. Under certain circumstances, both insulin and oral hypoglycemic agents can
cause the blood glucose to fall below 40 mg/dL. This stimulates counter-regulatory hormones, giving rise to a
range of signs and symptoms, and functional impairment.
In KSA, Abdel-Gawad (2002) [3] stated that married patients reported significantly higher satisfaction, less
impact, few worry and better total QOL. Less educated respondents reported significantly fewer worries than
those of higher education. Interestingly, education played no independent role with respect to QOL.
Brown et al. (2000) [21] reported that neither gender, level of education nor age significantly affected the
QOL associated with diabetes.
The present study showed that patients with type 2 diabetes had significantly worse QOL than those with
type-1 diabetes. Moreover, QOL was worse among diabetics with less than 10 years duration of disease, fol-
lowed by a relatively better QOL among those with 10 - 20 years and then the worse QOL was present among
those with more than 20 years of diabetes.
Brown et al. (2000) [21] noted that the type of diabetes, length of time of diabetes seemed not to have an im-
pact over QOL.
The degree of control of disease among diabetics was significantly and directly associated with their QOL (p
< 0.001). The worst QOL was expressed among poorly controlled diabetes while the best was among patients
with excellent control.
De Grauw et al. (2001) and Walling (2002) [22] [23] emphasized the importance of diabetes control. They
stated that strict control of blood glucose levels in diabetic patients can result in a reduction of one fourth of mi-
crovascular complications.
The present study showed that complications of diabetes were very common, mainly retinopathy (42.5%) or
neuropathy (28.3%). QOL of diabetics was less among those who had diabetes complications, especially retino-
pathy (p < 0.001), diabetic foot (p = 0.031) and neuropathy (p = 0.03). However, difference was not significant
according to those with nephropathy.
Abolfotouh (1999) [24] stated that, as a complication of diabetes, neuropathy can cause numbness, foot drop,
diarrhea, pain, and total erectile impotence. Woodcock et al. (2004) [25] noted that diabetic retinopathy is one of
three serious microvascular complications of diabetes, the other two being diabetic neuropathy and diabetic
nephropathy.
Al-Khader (2001) [26] stated that there are no precise data available on the incidence of nephropathy in Saudi
diabetics. What is known is that the vast majority of Saudi diabetics entering dialysis (96%) are of Type 2. In a
study of a diabetes outpatient clinic, 12.8% of patients had dipstick proteinuria and of the remaining patients
41.3% had microalbuminuria [27]. Al-Khader (2001) [26] warned that, with the growing magnitude of diabetic
nephropathy, sooner or later the KSA is going to face a ‘medical catastrophe’ at dialysis units.
The presence of diabetic complications, such as retinopathy, peripheral vascular disease, coronary artery dis-
ease, peripheral sensory neuropathy, and depression, has been associated with poorer QOL in a number of stu-
dies [21] [28].
Tennvalla and Apelqvistb (2000) [29] reported that patients with current foot ulcers experience lower QOL
than those who have healed primarily without any amputation.
Benbow et al. (1998) [30] noted that painful diabetic neuropathy has a considerable impact on QOL. Pain was
associated with a reduction in sleep, walking and ability to perform domestic duties. It has been shown that
when chronic diabetic neuropathic pain is reduced there is an associated increase in exercise tolerance and better
QOL.
In conclusion, QOL of Saudi adult diabetic patients is not favorable, personal characteristics associated with
worse QOL among diabetics include female gender, and being married, disease characteristics associated with
worse QOL among diabetics include being a type 1 diabetic and those with uncontrolled diabetes (i.e., >HbA1c >
8), and the main complications associated with worse QOL among diabetics include retinopathy, diabetic foot
and neuropathy.
It is recommended that the health care team for diabetics (e.g., nurses, general practitioners, diabetologists,
podiatricians, etc) should not be only disease-centered, QOL of the diabetic patient should always be regularly
assessed and improved accordingly. The presence of one or more risk factors associated with poorer QOL
among diabetics should attract the attention of health care providers to be assessed and managed, health educa-
tion of diabetic patients should be fully and regularly implemented to cover the importance of improving their
QOL, proper diabetes control should be enforced, and reasons for suboptimal diabetes control should be inves-
F. S. Al-Shehri
230
tigated and managed accordingly.
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... 32,33 The majority of the studies conducted in Saudi Arabia were solely focused on QoL in the management of DM, whereas our study incorporated a variety of other frequently occurring chronic diseases. [19][20][21][34][35][36][37][38][39] However, the current study reported DM as the most prevalent chronic illness which corroborates with the results of a meta-analysis and review articles previously conducted, validating the reason why previous studies were limited to DM only. 9,18 The mean score in DM type 2 patients in our study was 0.78 which indicates imperfect health (<1) and is similar to previously conducted studies with 0.71, 0.74, 0.70, 0.70, 0.79, and 0.69 index scores. ...
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Objective Chronic diseases hold the potential to worsen the overall health of patients by limiting their functional status, productivity, and capacity to live well, affecting their overall health-related quality of life (HRQoL). The purpose of the study was to assess the HRQoL of individuals with chronic diseases residing in the Al-Jouf region of Saudi Arabia. Furthermore, the current study also sought to ascertain the impact of multimorbidity and the duration of illness on HRQoL. Material and Methods A cross-sectional study was conducted among the residents of Al-Jouf region for a period of 6 months. A self-administered EuroQoL (EQ-5D-5L) study tool was used. Appropriate statistical analysis was conducted to ascertain the relationship between various variables and HRQoL. Results A total of 500 out of 562 participants completed the study, with a response rate of 88.97%. Participants had a mean age of 46.15 ± 16.79 years, and the majority were female (n = 299; 59.80%). A mean HRQoL score of 0.82 ± 0.20 was reported, poorest in patients with kidney failure (0.65 ± 0.26) and highest in hepatitis. However, nearly half of the participants had diabetes mellitus type II (n = 205, 39.20%). Patients aged <30 years (OR: 0.109; p = 0.002), male participants (OR: 0.053; p < 0.001), no disability (OR: 0.143; p = 0.002), and <2 comorbid diseases (0.84 ± 0.18; p < 0.001) reported better QoL. Additionally, comorbid conditions such as DM, prolong the duration of the overall illness (14.19 ± 7.67 years). Overall, imperfect health (n = 390, 78%) was reported by the study participants. Conclusion The present study provided preliminary data about the current HRQoL status of individuals with imperfect health and lower HRQoL. In the future, large-scale longitudinal studies are required to investigate the most prevalent chronic diseases, their associations, and change in HRQoL, as there is a dearth of information in the Saudi population.
... Depression PHQ-9 score were used to categorized depression into 'no depression' (0-4), 'mild' (5)(6)(7)(8)(9), 'moderate' (10)(11)(12)(13)(14) and 'severe depression' (≥ 15). ...
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Background: Patients with diabetes were shown to report poor quality of life and significant depressive symptoms. Only a dearth of surveys was conducted to evaluate the extent of depression among Saudi patients with diabetes and how depression mediate the effect of diabetes on perceived quality of life. Method: The study is a cross sectional questionnaire-based observational investigation using a simple random sampling scheme. We utilized World Health Organization Quality of Life Brief Version (WHOQOL-BREF) and Primary Health Questionnaire PHQ-9 to evaluate depressive symptoms and quality of life. We used generalized linear regression and mediation analysis to estimate the effect of clinical and demographic variables on quality of life and the mediating effect for depressive symptoms. Results: (n = 203) agreed to be included in the study. The prevalence for severe depression was (11.3%), and for moderate depression was (18.7%) among the participating patients. Poor QoL was found in retired patients, prolonged duration of diabetes, depressive score, and experiencing DKA. Notably, we found significant interaction between duration of DM and HbA1c level in terms of their combined effect on quality of life. Among patients with prolonged diabetes duration HbA1c level was associated with poorer quality of life. However, paradoxically, among newly diagnosed diabetes patients the higher the HbA1c the better was the quality of life. Age effect was negative on the QoL, after adjusting for the HbA1c*DM duration interaction. We found that depression score significantly mediated the negative effect of age on quality of life among patients living with diabetes (Sobel test t = -2.851, p = 0.004); however, the depression-mediated effect on the path from duration of diabetes to quality-of-life score was statistically not significant (Sobel test t = -0.021, p = 0.984). Recommendations: Patients with diabetes should be screened and treated for symptoms of depression throughout the course of their illness, given their detrimental effect on their life quality. Older patients with diabetes require amelioration of depressive symptoms given their effect on life quality regardless of duration of diabetes or presence of complications.
... Various sociodemographic variables relating to age, gender, marital status, educational level, occupation, and income are found to affect the quality of life of patients with diabetes. 9,[14][15][16] Diabetes-related factors are also shown to affect the QoL and these include the diabetes severity (indirectly shown by the duration of diabetes, number of complications, and glycemic control), treatment types (insulin use versus oral hypoglycemic drugs), treatment compliance, and hypoglycemic episodes. [17][18][19][20][21] This paper reviews the published, English-language literature on self-perceived quality of life among adults with diabetes. ...
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Objective: Diabetes mellitus (DM) is a chronic non-communicable endocrine disease that has a considerable impact on both the health and quality of life (QoL) of patients. This study aimed to investigate the sociodemographic factors associated with the quality of life among the Lebanese population with DM. Methods: A cross-sectional study that enrolled 125 diabetic patients aged ≥18, was conducted between January and June of 2021. The validated Arabic version of the Audit of Diabetes-Dependent Quality of Life (ADDQoL) questionnaire is utilized by all patients to measure the quality of life (QoL). A logistic regression was then performed. Results: The life domains “freedom to eat” and “freedom to drink”, were the most negatively impacted by diabetes. According to the multivariate analysis monthly income OR 3.4, 95 % CIs 1.25 –9.6, P = 0.017, educational level (OR) 0.2, 95 % CIs 0.07 –0.89, HbA1c (OR) 7, 95 % CIs 1.5 –32.35, and FBG [odds ratio (OR) 1.01, 95 % (CIs) 1.004 -1.021, P = 0.005] were independently associated with impaired QOL. Conclusion: The study showed that diabetes generally had a negative impact on QoL. The findings also suggest that certain sociodemographic factors, such as monthly income and educational level along with clinical parameters like HbA1c, might be associated with a lower quality of life among Lebanese diabetic patients.
... Studies conducted in Botswana, India, and the Arab Emirates indicated that increased physical exercise had contributed to better HRQOL for diabetic patients [41,42,43]. Findings in Nigeria and Uganda showed that depression due to smoking was a significant predictor of poor quality of life [44,45]. ...
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Health-related quality of life (HRQOL) is a multifaceted concept that is strongly impacted by Type II diabetes in developing countries. The majority of studies indicate diabetes mellitus prevalence without looking at people's quality of life. This study was conducted using an Institution-based cross-sectional design in Debre Markos Referral Hospital from March 03 to March 31, 2020. We evaluated HRQOL using the WHO quality of life BREF and data were obtained through face-to-face interviews. We used a systematic random sampling technique to select study participants. Data were entered into Epi data version 3.1 and exported to STATA version 14.0. Candidates for multivariable analysis were variables with a P-value less than 0.25 in the bivariable analysis and P-value less than 0.05 were considered to declare a statistically significant association. The final model was tested for its goodness of fit using Hosmer and Lemeshow's statistics. The analysis included a total of 368 adult individuals with type II diabetes and 206 (56%) had a good HRQOL. Being male (AOR = 4.28, 95%CI:2.36, 7.78), having duration of disease of more than 59 months (AOR = 2.93, 95%CI:1.61, 5.34), doing a physical exercise (AOR = 2.33,95%CI:1.34, 4.05) and got counseling (AOR = 3.33; 95%CI:1.82, 5.94) were directly associated with good HRQOL whereas the presence of diabetic complications (AOR = 0.46, 95%CI:0.26, 0.80), comorbidity (AOR = 0.45; 95%CI:0.25, 0.84) and drinking alcohol (AOR = 0.27, 95%CI:0.16, 0.48) had an inverse relationship with good HRQOL. More than half of type 2 diabetic adult patients had a good HRQOL. Being male, drinking alcohol, getting counseling, doing physical exercise, absence of diabetic complications, and comorbidity and long duration of disease were predictors of good HRQOL. Therefore, avoiding drinking alcohol and promoting physical exercise and counseling should be encouraged.
... A study at the University Diabetes Center in Riyadh reported 78.7% had negative (i.e., unfavorable) ADDQOL scores. This study also reported with the significant association between the degree of control, duration of diabetes and complications [4]. ...
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Objective: The objective of this study is to assess the quality of life using the D39 questionnaire in the patients of diabetes Mellitus in Tabuk, KSA. Background: The emerging rise in number of diabetes and rising complications need special attention by the health care providers.
... This result could be attributed to the high-income of the country, which provides all facilities that make life easy and enjoyable [16]. However, this result contradicts a study conducted in Saudi Arabia [17]. Such differences can be attributed to the types of methodology adopted, as the used tools, the cut-off points, and probably other factors. ...
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Objectives: This study aimed to evaluate the Quality of Life (QoL) on Kuwaiti adult patients with Type 2 Diabetes Mellitus (T2DM), aged ≥ 45 years of both genders, who attended primary healthcare centers and to identify factors associated with QoL. Methods: This is a cross-sectional study conducted on a random sample stratified by gender, consisting of 604 Kuwaiti adult patients with T2DM, aged ≥ 45 years, diagnosed by physicians as diabetics for ≥ 6 months. A validated demographic and WHOQOL-BREF questionnaires were used to assess the QoL. Results: The sample consisted of both genders with equal proportions, the age of 46% of patients was within 56-65 years' class. Only 24% of the participants had secondary school, while 57% were retired, and the income of 54% exceeds 1000 KD/month. The majority of patients (76%) were married, and 99% were living with their families. Obesity was reported in 54% of patients, and 16% were smokers. Only oral antidiabetic drugs were used by 50% of patients, and 24% of the sample had complications, 11% of them developed retinopathy. A family history of diabetes was reported in 74% of patients, and 45% of them have a duration of diabetes >10 years. Regarding the QoL, the median score was 71, around 77% of the sample has a good QoL. Conclusion: There is more need for public health action to control the disease, thus improving their QoL; this can be achieved by improving the patients' health status and maintaining their abilities.
... Our current work found a statistically significant positive association between physical activity and the control of diabetes. In the same line, Al-Shehri reported that practice exercise of about 30 min for 3 days a week or more affected the control of diabetes [18]. ...
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Background Diabetes is a rapidly growing health problem worldwide. In 2019, the International Diabetes Federation (IDF) estimates that Egypt is the 9th country worldwide with about 8,850,400 cases and a prevalence of 15.2% in adults. By 2045, Egypt is expected to be the 7th country worldwide. Several factors affecting glycemic control are related to patients, physicians, and the infrastructure of primary health care facilities (PHCFs). The effect of health care infrastructure and resources is not well studied. This cross-sectional study aims to explore factors affecting glycemic control among subjects with diabetes visiting PHCFs in the Mansoura District. A questionnaire was done to assess these factors among subjects with diabetes, primary care physicians (PCPs), and PHCFs infrastructure and resources. Three hundred and two subjects with diabetes attending PHCFs in the Mansoura District underwent a detailed clinical history. Also, HbA1c was obtained. Results Factors in patients that affect diabetic control include patient’s education and occupation and their smoking status. Practicing physical exercise is important for diabetes control. Physicians can affect diabetes control by their rural residence, older age, participation in diabetes training, early graduation year, longer durations since started dealing with subjects with diabetes, and following guidelines. Resources of infrastructure have a role in diabetes control. Metformin and investigation availability has a positive association with diabetes control. Conclusion Patients, physicians, and resources of infrastructure have a role in diabetes control.
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Background : Diabetic peripheral neuropathy (DPN) affects an average of 50% of diabetic patients and is one of the major causes of increased mortality and morbidity, with increase risk of burns, injuries and foot ulcerations. This affects the patients' life as well as the life of the their families. The assessment of QoL of such patients helps to determine the impact of disease on the patients' life. Aim and Objective : To Assess Quality of life (QoL) in patients with Diabetic Peripheral Neuropathy and the impact of in quality of life on their lives. Results : Total 45 subjects were screened for DPN using Mod. Neuropathy Diability Score, their QoL was assessed by using Neuropathy-Specific QoL Instrument. Significant differences were found between four domains of Neuro QoL Instrument and severity of DPN. Painful symptoms and Paresthesia, Diffused Sensory Motor Symptoms, Interpersonal problems and emotional distress increased with increase in Severity of DPN with P values <0.001, 0.018, 0.004, 0.006 respectively. Throbbing pain, numbness, weakness in legs/feet, emotional dependence and physical dependence had greatest impact on patients' QoL. Conclusion : In this study, the findings concluded that Diabetic Peripheral Neuropathy can have a profound effect on patients' Quality Of Life in various Physical and Psycho-social areas of their lives and there is direct relation between severity of DPN and the various aspects of QoL.
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Burnout is often associated with decrease of work and study performance and could affect the daily living. Since March 2020, Indonesia has been affected by the 2019 coronavirus disease (COVID-19) pandemic, including the Universitas Sebelas Maret (UNS) academic community. This study aimed to determine the relationship between burnout and quality of life in UNS academic community during the COVID-19 pandemic. This was an observational study with a cross sectional approach. An online survey on burnout and quality of life was conducted in August - September 2020. Burnout was measured by the Maslach Burnout Inventory (MBI) scale which contains 22 question items and has been adapted according to the Indonesian context. The EQ5D instrument, which contains 5 question items, has been adapted to measure the quality of life of the respondent. There were significant correlations between the burnout score and the quality of life for the lecturers and students (r = -0.2843 with p-value = 0.011 and r = -0.4045 with p-value < 0.001). Meanwhile, there was no significant result in educational staff group (r = -0.3323 with p-value = 0.0903). There were significant correlations between burnout score and quality of life for lecturers and students, but there was no significant correlation between burnout score and quality of life for education personnel. Comprehensive action to prevent burnout in academic community is needed to improve quality of life.
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BACKGROUND: Diabetes mellitus (DM) is a lifelong metabolic disease with a high rate of mortality and morbidity. Uncontrolled and untreated diabetes results in serious complications that subsequently cause patients’ quality of life (QoL) to deteriorate. Adherence to Mediterranean diet (MD) may relieve the complications of diabetes, thereby improving the quality of life for these patients. OBJECTIVE: The aim of this study was to assess the QoL of DM patients who adhered to MD. METHODS: In this cross-sectional study, we examined the QoL and MD data of 106 DM II patients being treated at a primary health care clinic in Hebron. We used the SF-36 questionnaire to measure the patients’ QoL and the MEDAS tool to assess their MD adherence. We also recorded their anthropometric measurements, abdominal obesity, lifestyle habits and blood biochemical results. RESULTS: The sample comprised male and female DM II patients between the ages of 35 and 72, with their mean age being 55.8±10.24. Patients’ QoL scores showed a significant relationship with three BMI categories, i.e., total QoL score, physical function, and pain domains (p < 0.05). In terms of diet, high adherence to MD had a positive impact on all domains and on patients’ total QoL with significant differences in physical functioning, emotional well-being, social functioning and pain domains. CONCLUSION: Patients’ QoL domains were relatively low and highly affected by DM II. Patients with greater MD adherence reported higher scores in all QoL domains. Significantly higher scores were noted for the physical, social and pain domains. Hence, MD is a recommended dietary pattern for DM II patients to achieve a better QoL.
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Diabetes is a chronic disease of lifelong duration, and its management requires a fundamental change in the patient's lifestyle. The aims of this study were to determine behaviors of diabetic patients in relation to management of their disease, assess metabolic control and health-related quality of life of them. The target population was type 2 diabetic patients and a cross-sectional approach was used. We studied 80 randomly chosen patients. To determine behaviors of patients, data was collected using an interview schedule. Metabolic control was assessed by measuring glycosylated hemoglobin (HBA1c), and health-related quality of life was measured by means of WHOQOL-BREF questionnaire. The majority of patients had good compliance with adherence to the prescribed medicines (65% always and 35%often) and foot care practices (82.5%). However, only 6.3% of them administered self-monitoring blood glucose and 38.8% complied with dietary regimen always. Among smokers, 13.8% stopped smoking after being diagnosed with the disease. The mean HBA1c in the whole patient group was 9.25± 1.06 and it ranged from 6.9 to 12.9 and only 2.5% of them had optimum control. The mean rating of health-related quality of life in all scales varied between 55.67 and 63.75(maximum score: 100). The highest rated mean score was for physical health and the lowest was for psychological. It is recommended that every effort be made to initiate and promote behavioral change and improve metabolic control in diabetic patients. To achieve this, an appropriate patient's education program should be planned and future research is needed to reveal determinants of compliance behavior and factors associated with metabolic control and health-related quality of life in diabetic patients.
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Enhancing daily functioning and well-being is an increasingly advocated goal in the treatment of patients with chronic conditions. We evaluated the functioning and well-being of 9385 adults at the time of office visits to 362 physicians in three US cities, using brief surveys completed by both patients and physicians. For eight of nine common chronic medical conditions, patients with the condition showed markedly worse physical, role, and social functioning; mental health; health perceptions; and/or bodily pain compared with patients with no chronic conditions. Each condition had a unique profile among the various health components. Hypertension had the least overall impact; heart disease and patient-reported gastrointestinal disorders had the greatest impact. Patients with multiple conditions showed greater decrements in functioning and well-being than those with only one condition. Substantial variations in functioning and well-being within each chronic condition group remain to be explained.
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Over a one-year period, 2990 patients attended a primary health care practice in urban Riyadh, Saudi Arabia. Of these, 33.5% had chronic disorders. Clinically significant obesity (BMI > 29.9 Kg/m²) was present in 24.5% of those with chronic disorders. Musculoskeletal disorders, diabetes mellitus (DM), digestive disorders and cardiovascular disease accounted for 38%, 36%, 24% and 22% of encounters respectively. Uncontrolled DM was encountered in 7.1% while uncontrolled systolic hypertension was present in 28.8% of patients with these disorders. A significant proportion (42%) of patients with bronchial asthma required emergency management. Symptomatic relief was obtained in 57% of patients with irritable bowel and 87% of patients with osteoarthritis of the knees. The results point to a trend of morbidity similar to that encountered in developed nations with affluence and sedentary life style. There is a need to focus on obesity, life style measures that reduce weight would be expected to positively influence diabetes, hypertension and osteoarthritis of the knees. Monitoring of outcome measures would help identify areas of improvement and preventive measures. Copyright © 1996 Elsevier Science Ltd.
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Objectives: The complications of diabetes have the potential to greatly impact the health-related quality of life (HRQOL) of patients with type 2 diabetes. The effect of diabetic complications on HRQOL was assessed in 1233 patients with type 2 diabetes who were not using insulin. Methods and data: Patients were aged 35 and older and had stable fasting serum glucose (FSG) after washout of antidiabetic therapy. Patients who required insulin or suffered from severe cardiovascular or hepatic disease, neuropathy, or retinopathy were excluded. Patients completed the SF-36 generic quality of life questionnaire. Demographic data, including body mass index (BMI), blood glucose hemoglobin A1c (HbA1c), FSG, and the presence and severity of eight specified diabetic complications were also collected. A linear regression analysis was performed for each of the SF-36 domains and for the physical and mental health summary scales. Results: The most prevalent diabetic complications were hypertension (46% of patients), peripheral sensory neuropathy (PSN; 12%), coronary artery disease (CAD; 8%), retinopathy (8%), and peripheral vascular disease (PVD; 7%). Most (73%) of the complications were assessed to be mild. PSN was associated with significantly lower scores (i.e., worse quality of life) in the mental health scale; CAD was associated with significant reductions of all but role-emotional and mental health scales of the SF-36; and PVD was associated with significantly lower physical and social functioning scales. Hypertension did not have an independent effect on HRQOL. Conclusions: The presence of even mild diabetic complications has a significant impact on patients' quality of life. Early diagnosis and treatment is essential to help prevent deterioration of HRQOL in these patients.
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Prevalence of diabetic nephropathy varies in different racial groups, being especially high in communities that have abandoned an active traditional living and embraced a modern but sedentary life-style. As a new and rapidly developing country, Saudi Arabia has witnessed impressive changes in socio-economic growth and development and concurrently, a disturbing trend in non-insulin-dependent diabetes mellitus (NIDDM). These observations therefore prompted us to investigate the prevalence of microalbuminuria among Saudi Arabians with NIDDM. Two hundred and eleven patients attending a large Diabetic Clinic in Riyadh were screened for microalbuminuria (30-300 mg/24 h). Twenty-seven subjects had clinical proteinuria (dipstick-positive) and were excluded, leaving 184 cases for analysis. Seventy-six subjects (76/184, 41.3%) had microalbuminuria. These subjects had higher fasting plasma glucose concentrations (P = 0.002) and greater body mass index (P = 0.049) than subjects with normal albumin excretion rate (< 30 mg/24 h). There were no significant differences between subjects with and without microalbuminuria with regards to fasting total plasma cholesterol and triglycerides concentrations, frequency of hypertension, duration of diabetes or type of therapy for diabetes. In multivariate analysis, glycaemia (P < 0.005) and years since diagnosis of diabetes (P = 0.05) remained independently associated with albumin excretion rate. We conclude that microalbuminuria is exceedingly common in a clinic-based population of Saudi Arabians with NIDDM and its presence is closely related to glycaemic control. Whether the prevalence of microalbuminuria is truly increased in the diabetic population at large in Saudi Arabia must now await further population-based studies.
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Many Americans, knowingly or unknowingly, are afflicted with diabetes. Because of a lack of awareness or a disbelief that aggressive treatment benefits patients on the part of both patients and physicians, diabetes, particularly NIDDM, remains underdiagnosed and undertreated despite complications that can dramatically diminish quality of life. Increasing evidence that good glycemic control forestalls if not prevents these outcomes makes it the primary care physician's imperative to diagnose diabetes before complications develop. Physicians, through targeted screening and aggressive treatment of patients in whom they diagnose this chronic disease, can markedly reduce diabetes-related morbidity and mortality.
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The quality of life (QOL) of 79 people with type 1 and type 2 diabetes and 37 non-diabetic controls was assessed using the Nottingham Health Profile (NHP). The NHP consists of six domains assessing energy, sleep, pain, physical mobility, emotional reactions and social isolation. Symptomatic diabetic neuropathy was present in 41 of the patients. The neuropathy patients had significantly higher scores (impaired QOL) in 5/6 NHP domains than either the other diabetic patients (p < 0.01) or the non-diabetic (p < 0.001) controls. These were: emotional reaction, energy, pain, physical mobility and sleep. The diabetic patients without neuropathy also had significantly impaired QOL for 4/6 NHP domains compared with the non-diabetic control group (p < 0.05) (energy, pain, physical mobility and sleep). This quantification of the detrimental effect on QOL of diabetes, and in particular of chronic symptomatic peripheral diabetic neuropathy, emphasizes the need for further research into effective management of these patients.
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The objectives of the study were to design and develop a questionnaire to measure individuals' perceptions of the impact of diabetes on their quality of life (QoL). The design of the ADDQoL (Audit of Diabetes Dependent QoL) was influenced by patient-centred principles underlying the SEIQoL interview method. Respondents rate only personally-applicable life domains, indicating importance and impact of diabetes. Fifty-two out-patients with diabetes and 102 attending diabetes education open days provided data for psychometric analyses. Each of the 13 domain-specific ADDQoL items was relevant and important for substantial numbers of respondents. Factor analysis and Cronbach's alpha coefficient of internal consistency (0.85) supported combination of items into a scale. Insulin-treated patients reported greater impact of diabetes on QoL than table/diet-treated patients. People with microvascular complications showed, as expected, greater diabetes-related impairment of QoL than people without complications. Unlike other QoL measures, the ADDQoL is an individualized questionnaire measure of the impact of diabetes and its treatment on QoL. Preliminary evidence of reliability and validity is established for adults with diabetes. Findings suggest that the ADDQoL will be more sensitive to change and responsive to differences than generic QoL measures.
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To evaluate access and utilization of medical care, and health status and outcomes that would be influenced by recent medical care, in a representative sample of patients with type 2 diabetes. A national sample of 733 adults with type 2 diabetes was studied from 1991 to 1994 in the Third National Health and Nutrition Examination Survey. Structured questionnaires and clinical and laboratory assessments were used to determine the frequencies of physician visits, health insurance coverage, screening for diabetes complications, treatment for hyperglycemia, hypertension, and dyslipidemia; and the proportion of patients who met treatment goals and established criteria for health outcome measures including hyperglycemia, albuminuria, obesity, hypertension, and dyslipidemia. Almost all patients had 1 source of primary care (95%), 2 or more physician visits during the past year (88%), and health insurance coverage (91%). Most (76%) were treated with insulin or oral agents for their diabetes, and 45% of those patients taking insulin monitored their blood glucose at least once per day The patients were frequently screened for retinopathy (52%), hypertension (88%), and dyslipidemia (84%). Of those patients with hypertension, 83% were diagnosed and treated with antihypertensive agents and only 17% were undiagnosed or untreated; most of the patients known to have dyslipidemia were treated with medication or diet (89%). Health status and outcomes were less than optimal: 58% had HbA1c >7.0, 45% had BMI >30, 28% had microalbuminuria, and 8% had clinical proteinuria. Of those patients known to have hypertension and dyslipidemia, 60% were not controlled to accepted levels. In addition, 22% of patients smoked cigarettes, 26% had to be hospitalized during the previous year, and 42% assessed their health status as fair or poor. Rates of health care access and utilization, screening for diabetes complications, and treatment of hyperglycemia, hypertension, and dyslipidemia in type 2 diabetes are high; however, health status and outcomes are unsatisfactory. There are likely to be multiple reasons for this discordance, including intractability of diabetes to current therapies, patient self-care practices, physician medical care practices, and characteristics of U.S. health care systems.