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Trends in age-standardised death rates due to type 1 diabetes (A) and type 2 diabetes (B) at ages younger than 25 years, 1990-2019, by SDI quintiles SDI=Socio-demographic Index.
Source publication
Background: Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019.
Methods: We...
Contexts in source publication
Context 1
... of deaths due to diabetes at ages younger than 25 years divided by the total of deaths from all causes at ages younger than 25 years. figure 1A), the age-standardised death rate decreased by 21·0% (95% UI -33·0 to -5·9) globally when considering only type 1 diabetes, and the greatest decreases from 1990 to 2019, starting at about year 2000, were observed for the high-middle quintile (-48·8% [-56·3 to -41·5]) and middle SDI quintile (-38·6% [-47·4 to -21·6]). In 2019, the high-middle quintile approached the rate of high SDI countries. ...
Context 2
... of deaths due to diabetes at ages younger than 25 years divided by the total of deaths from all causes at ages younger than 25 years. figure 1A), the age-standardised death rate decreased by 21·0% (95% UI -33·0 to -5·9) globally when considering only type 1 diabetes, and the greatest decreases from 1990 to 2019, starting at about year 2000, were observed for the high-middle quintile (-48·8% [-56·3 to -41·5]) and middle SDI quintile (-38·6% [-47·4 to -21·6]). In 2019, the high-middle quintile approached the rate of high SDI countries. ...
Context 3
... of deaths due to diabetes at ages younger than 25 years divided by the total of deaths from all causes at ages younger than 25 years. figure 1A), the age-standardised death rate decreased by 21·0% (95% UI -33·0 to -5·9) globally when considering only type 1 diabetes, and the greatest decreases from 1990 to 2019, starting at about year 2000, were observed for the high-middle quintile (-48·8% [-56·3 to -41·5]) and middle SDI quintile (-38·6% [-47·4 to -21·6]). In 2019, the high-middle quintile approached the rate of high SDI countries. ...
Citations
... In 2019, there were approximately 1.5 million individuals younger than 20 years worldwide with type 1 diabetes [1] and 16,300 global deaths due to diabetes (types 1 and 2 combined) occurred in people younger than 25 years and 73.7% (68. 3-77.4) were classified as due to type 1 diabetes [2]. ...
Aim. To assess the incidence trends in type 1 diabetes among children and adolescents across Europe during the period from 1994 to 2022 using a systematic methodology. Materials and Methods. Cross-sectional or follow-up studies reporting population-based incidence rates (IRs) of European children and adolescents diagnosed aged <15 years with type 1 diabetes were included. The Mantel‒Haenszel or DerSimonian and Laird random-effects method was used to compute the pooled IR estimates and their 95% confidence intervals (CIs). Subgroup analyses were conducted by study year, biological sex, age group (0–4, 5−9, and 10–14 years), country, and European regions. Results. A total of 75 studies (219,331 children and adolescents aged 0–14 years) with data from 32 countries were included. Generally, a high overall rate of increase in type 1 diabetes incidence has been shown in most European countries from 1994 to 2022 in both sexes, with an overall increase from 10.85 (95% CI, 9.62–12.07) per 100,000 person-years from 1994 to 2003 to 20.96 (95% CI, 19.26–22.66) per 100,000 person-years from 2013 to 2022. Conclusions. There are substantial between-country differences in the current levels and trends of IR in type 1 diabetes in European children and adolescents. Our data suggest a worrying upward trend in most European countries.
... 14 The estimation process involves averaging results from 1000 model selections for each cause of death. The 95 % uncertainty intervals (UIs) are determined by the 2.5th and 97.5th values within these 1000 selections 19 and account for the uncertainty accumulated during the estimation process. We considered differences between estimates as significant if the 95 % UIs did not intersect. ...
... This study involves a secondary analysis of data using the Global Burden of Disease, Injuries, and Risk Factors Study GBD 2019, which uses a standardized methodology to estimate mortality and causes of death for 369 diseases and injuries, as well as 87 risk factors or combinations of risk factors, across 204 countries and territories from 1990 to 2019. The methodological approach employed by the GBD 2019, as well as the specific methods used for analyzing CKD, have been documented in previous publications (Cousin et al., 2022;Vos et al., 2020). ...
Objective: To report the burden of young-onset chronic kidney disease (CKD) in Mexico from 1990 to 2019, and to assess the association between young-onset CKD burden with the Socio-Demographic Index (SDI), and the Healthcare Access and Quality Index (HAQ). Methods: Secondary analysis of data using the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) by sex, age groups, states, and subcauses. Mortality, years of life lost (YLL), years lived with disability (YLD), and disability-adjusted life years (DALY), were obtained. Results: Between 1990 and 2019, the young-onset CKD mortality rate increased by 87.3% (126.3% for men and 48.1% for women). In 2019, this rate was highest in Tlaxcala, Estado de México, Puebla, Veracruz, Jalisco, and Guanajuato (all above 8 deaths per 100,000 inhabitants); Sinaloa and Quintana Roo had the lowest mortality rates (under 3.5 deaths per 100,000 inhabitants). While men had a higher rate of YLL, women were more likely to present YLD due to CKD. In 1990 there was a negative and statistically significant correlation between the HAQ Index and the young-onset CKD DALY rate. Conclusions: In the last 30 years, the burden of early-onset chronic CKD has had an unprecedented increase among the Mexican population, compromising the fulfillment of the Sustainable Development Goals. This will be unattainable if actions to promote healthy lifestyles and prevent kidney disease are not immediately established and articulated, starting with the youngest age groups.
... As such, psychosocial perspectives are needed to understand the nature of sleep timing in older adults and its impacts on psychological and physical health. Further, given that both social jetlag and daily sleep timing variability have previously been associated with disease outcomes in type 2 diabetes mellitus [3,[12][13][14], and that type 2 DM is predominantly a disease of middle and older age [15], understanding the social and societal drivers of sleep timing will be of importance in framing sleep advice around modifiable behaviors for retired individuals with type 2 DM. For example, previous research has shown that individuals with diabetes report that timing of food is impacted by medication [16], although it is not well described what impact this could have on sleep/wake timing. ...
Background: Day-to-day variations in sleep timing have been associated with poorer glycemic control in type 2 diabetes mellitus, although the factors that influence this sleep timing variability are poorly understood. Methods: Daily routines of sleep in a sample of seventeen adults with type 2 diabetes mellitus who were either retired or not currently working were examined qualitatively through the application of semi-structured interviews and a thematic analysis of the resulting transcripts. Results: Four themes were identified: “Consistent Sleeping Patterns”, “Fluctuating Sleep Timing”, “Night-Time Disruptions” and “Lasting Effort Needed with Type Two Diabetes Mellitus”. The subthemes reflected that many participants had consistent sleep schedules across the seven-day week, but that a desire to maintain a sense of normality, household routines, television schedules and socializing were associated with different sleep timing on weekends. Active disease monitoring and timed medication taking were not identified as important factors in shaping sleep timing. Nocturia, stress and rumination were identified as important factors linked to disrupted sleep. Sleep was not reported as an issue discussed during routine clinical care. Conclusion: Sleep timing in participants appears to be driven by interacting psychosocial and physiological factors, although active disease management does not emerge as a major influence on sleep schedules.
... The overall trend of mortality has steadily increased from 2000 to 2019, with the largest number being obesity with 5 million deaths in 2019, followed by HLD with 4.3 million, T2DM with 1.4 million, HTN with 1.1 million, and NAFLD with 168,969 deaths . Moreover, many of these diseases occur in tandem, share common risk factors, and are associated with an increased risk of disability, cancer, and premature death Collaborators 2022;Golabi et al. 2021;Tay et al. 2023;Toh et al. 2022). ...
s
Nearly a quarter of the world’s land has already been polluted by artificial light. And numerous human and animal studies have corroborated that light at night can disrupt metabolism. Therefore, we aimed to estimate the association between outdoor artificial light at night (ALAN) and the presence of metabolic disease. Daily hospital admission cases from Ningxia, China, between 2014 and 2020 were included. Cumulative associations between outdoor ALAN and metabolic disease were estimated using logistic regression and distributed lagged non-linear models (DLNM) with lags of 0–30 days and stratified analysis by age groups and gender. The results suggest that 26.80% of metabolic disease cases in Ningxia can be attributed to outdoor ALAN and that men, especially in men aged 46–59 years, are more susceptible to lighting. Policymakers need to develop measures and facilities in corresponding areas, such as universal access to indoor blackout curtains. In particular, men should be urged to minimize going outside at night and to develop protective measures specifically for men.
Graphical abstract
... Diabetes is one of the major conditions that endangers human health worldwide (1). Evidence has confirmed that cardiovascular and cerebrovascular accidents are the major outcomes of individuals with diabetes, whose pathological changes are characterized by arteriosclerosis (2). ...
Objective:
Early identifying arteriosclerosis in newly diagnosed type 2 diabetes (T2D) patients could contribute to choosing proper subjects for early prevention. Here, we aimed to investigate whether radiomic intermuscular adipose tissue (IMAT) analysis could be used as a novel marker to indicate arteriosclerosis in newly diagnosed T2D patients.
Methods:
A total of 549 patients with newly diagnosed T2D were included in this study. The clinical information of the patients was recorded and the carotid plaque burden was used to indicate arteriosclerosis. Three models were constructed to evaluate the risk of arteriosclerosis: a clinical model, a radiomics model (a model based on IMAT analysis proceeded on chest CT images), and a clinical-radiomics combined model (a model that integrated clinical-radiological features). The performance of the three models were compared using the area under the curve (AUC) and DeLong test. Nomograms were constructed to indicate arteriosclerosis presence and severity. Calibration curves and decision curves were plotted to evaluate the clinical benefit of using the optimal model.
Results:
The AUC for indicating arteriosclerosis of the clinical-radiomics combined model was higher than that of the clinical model [0.934 (0.909, 0.959) vs. 0.687 (0.634, 0.730), P < 0.001 in the training set, 0.933 (0.898, 0.969) vs. 0.721 (0.642, 0.799), P < 0.001 in the validation set]. Similar indicative efficacies were found between the clinical-radiomics combined model and radiomics model (P = 0.5694). The AUC for indicating the severity of arteriosclerosis of the combined clinical-radiomics model was higher than that of both the clinical model and radiomics model [0.824 (0.765, 0.882) vs. 0.755 (0.683, 0.826) and 0.734 (0.663, 0.805), P < 0.001 in the training set, 0.717 (0.604, 0.830) vs. 0.620 (0.490, 0.750) and 0.698 (0.582, 0.814), P < 0.001 in the validation set, respectively]. The decision curve showed that the clinical-radiomics combined model and radiomics model indicated a better performance than the clinical model in indicating arteriosclerosis. However, in indicating severe arteriosclerosis, the clinical-radiomics combined model had higher efficacy than the other two models.
Conclusion:
Radiomics IMAT analysis could be a novel marker for indicating arteriosclerosis in patients with newly diagnosed T2D. The constructed nomograms provide a quantitative and intuitive way to assess the risk of arteriosclerosis, which may help clinicians comprehensively analyse radiomics characteristics and clinical risk factors more confidently.
... Diabetes Mellitus (DM), insülin yetersizliği veya insülin etkisindeki bozukluklara bağlı olarak organizmanın karbonhidrat, yağ ve protein bileşenlerinden yeterince yararlanamadığı, hiperglisemi ile karakterize, sürekli tıbbi bakım gerektiren, kronik, metabolik ve endokrin bir hastalıktır [1][2][3][4] . DM, tüm yaş gruplarında görülmesi, dünyada giderek sıklığının artması, akut ve kronik komplikasyonlara yol açması, pek çok organda kalıcı hasara neden olması, kalp-damar hastalıkları riskini 2-4 kat arttırması, yüksek tedavi maliyetlerine neden olması, yaşam süresini kısaltması ve dünyada ölüm sebepleri arasında yedinci sırada yer alması nedeniyle epidemi olarak kabul edilmektedir 5 . ...
... Tedavi hedeflerini zorlaştıran tüm bu faktörler nedeniyle son yıllarda dünyada olduğu gibi ülkemizde de diyabet önemini ve ciddiyetini korumaktadır 8 . Yapılan araştırmalar, Tip 2 diyabet tanı ve tedavi süreçlerindeki önemli gelişmelere rağmen, hastalığın henüz istenen seviyede kontrol edilemediğini açıkça göstermektedir 4,5,8,9 . Literatürde semptom durumu, bireylerin hastalık/hastalıklarına bağlı olarak fiziksel, emosyonel, psikososyal ve manevi açıdan algıladıkları anormal durum olarak tanımlanmaktadır 8 . ...
Diyabet kronik ve ilerleyici bir hastalık olması sebebi ile bireylerde ciddi semptom yüküne neden olmaktadır. Hastalığın ilerlemesi ile diyabet komplikasyonları artmakta, bireyler öz yönetimde yetersiz kalabilmekte ve beraberinde bakım bağımlılığı sorunu gündeme gelmektedir. Diyabetin yaşam boyu sürmesi, yaygın semptomlarla seyretmesi ve öz-yönetim aktivitelerini zorunlu kılmasından dolayı Tip 2 diyabetli bireylerin yaşadıkları semptomların sıklığı ve şiddetinin, öz-yönetim becerilerinin ve bakım bağımlılığı düzeylerinin ele alınması gerekmektedir. Diyabette bakım ve öz-yönetimin yaşam boyu sürdürülmesi en kritik konudur. Çok sayıda araştırma, Tip 2 diyabet tanı ve tedavi süreçlerindeki önemli gelişmelere rağmen, hastalığın henüz istenen seviyede kontrol edilemediğini göstermektedir. Bu derleme makalede, Tip 2 diyabetli bireylerde semptom durumu, öz-yönetim ve bakım bağımlılığı düzeyleri ve bu değişkenler arasındaki ilişkiye geniş bakış açısı kazandırılması ve bu kapsamda diyabetli hastaların bakım yaklaşımına katkı verilmesi amaçlanmıştır.
... Type 2 diabetes (T2D) is a leading cause of mortality and morbidity worldwide [1][2][3][4], with an estimated prevalence of 9.3% [1], 67.9 million disability-adjusted life-years [2] and increase in treatment cost [3] worldwide. Evidence for the physiological significance of habitual coffee consumption on T2D manifestations keeps evolving, with some cohort studies [5][6][7][8] and randomized trials [9,10] suggesting an inverse association, but others [11,12] found a null association. ...
... Association of SNPs (additive) or the genetic risk scores (per one-unit increment of genetic risk score) with fasting blood glucose -FBG (per an increment of 1 mg/dL) in the linear regression model. 4) Association of SNPs (additive) or the genetic risk scores (per one-unit increment of genetic risk score) with 2h-postprandial glucose (per an increment of 1 mg/ dL) in the linear regression model. 5) Association of SNPs (additive) or the genetic risk scores (per one-unit increment of genetic risk score) with HbA1c (per an increment of 1%) in the linear regression model. ...
... One-unit increment of log-transformed cups per day of genetically predicted coffee consumption was related to a decrease in FBG and 2h-PG levels in all methods except the Table 2. Genetically predicted coffee consumption with type 2 diabetes MR estimates OR (95% CI) 1) P-value Wald ratio estimator (GRS) 2) 0.79 (0.62-0.99) 0.04 Inverse-variance-weighted method 3) 0.79 (0.71-0.88) < 0.001 Weighted median-based method 3) 0.78 (0.68-0.89) 0.03 Weighted mode-based method 3) 0.75 (0.62-0.90) 0.03 MR-Egger method 3) 4) 0.39 (0.08-2.03) 0.35 MR, Mendelian randomization; OR, odds ratio; CI, confidence interval; GRS, genetic risk score; SNP, single nucleotide polymorphism. 1) For one-unit increment of log-transformed cup per day of coffee consumption. ...
Background/objectives:
Habitual coffee consumption was inversely associated with type 2 diabetes (T2D) and hyperglycemia in observational studies, but the causality of the association remains uncertain. This study tested a causal association of genetically predicted coffee consumption with T2D using the Mendelian randomization (MR) method.
Subjects/methods:
We used five single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) associated with habitual coffee consumption in a previous genome-wide association study among Koreans. We analyzed the associations between IVs and T2D, fasting blood glucose (FBG), 2h-postprandial glucose (2h-PG), and glycated haemoglobin (HbA1C) levels. The MR results were further evaluated by standard sensitivity tests for possible pleiotropism.
Results:
MR analysis revealed that increased genetically predicted coffee consumption was associated with a reduced prevalence of T2D; ORs per one-unit increment of log-transformed cup per day of coffee consumption ranged from 0.75 (0.62-0.90) for the weighted mode-based method to 0.79 (0.62-0.99) for Wald ratio estimator. We also used the inverse-variance-weighted method, weighted median-based method, MR-Egger method, and MR-PRESSO method. Similarly, genetically predicted coffee consumption was inversely associated with FBG and 2h-PG levels but not with HbA1c. Sensitivity measures gave similar results without evidence of pleiotropy.
Conclusions:
A genetic predisposition to habitual coffee consumption was inversely associated with T2D prevalence and lower levels of FBG and 2h-PG profiles. Our study warrants further exploration.
... But the mortality or burden of the disease can be lessened with adequate management, among which is early screening for the biomarkers of the disease. (Cousin et al., 2022). Unfortunately, T1DM screenings are mainly genetic testing, which is expensive and not readily available, particularly in developing nations like Nigeria. ...
Studies have shown that ABO blood groups and demographic traits influence susceptibility to type 1 diabetes mellitus (T1DM) and can be used in combination with insulin therapy to reduce the disease’s burden. However, geographical variations exist in the influence of demographic traits and ABO blood groups on susceptibility to diseases and thus require establishing it in every locality. This study determined the influence of demographic traits and ABO blood groups on the prevalence of T1DM in Lagos, Nigeria. A structured checklist was used to collect data from the health records of non-obese 150 type 1 diabetic patients at Ayobo Primary Health Center, Lagos. The results revealed that males, with 88 participants (52.7%), constituted the majority, while females had 62 (41.3%). The age group 40 years and older had the highest proportion of participants with 37 (24.7%), followed by 31-40 years with 32 (21.30%), 21-30 years with 30 (20%), 11-20 years with 27 (18%), and 1-10 years with 24 (16%). Christianity had the highest with 74 participants (49.3%), followed by Islam with 71 participants (47.3%), and traditional religion with 5 participants (3.3%). Eight (5.3%) of the participants were primary school graduates; 34 (22.7%) were secondary school graduates; and 108 (72%) were tertiary school graduates. The Yoruba ethnic group, with 77 participants (51.3%), was the most prevalent, followed by Igbo with 50 (33.3%), and Hausa with 3 (2.0%). ABO blood group A and B (positive and negative) individuals were the most diabetic and expressed the most severe cases, while group O positive and AB negative individuals were the least diabetic. T1DM prevention should be a priority for blood group A and B residents.
... Diabetes has been identified by the UN and WHO as one of the five priority non-communicable diseases (NCDs) in their Action Plan to confront the NCDs challenge. Prevention and management of the chronic complications in patients with diabetes involve complex, long-lasting, and costly endeavors (Cousin, et al., 2022). Diabetes is one of the most common metabolic diseases. ...
Today, the problem of non-infectious diseases has overshadowed many health beliefs and has attracted the attention of scientific communities. In the past, the main problem of society and people was infectious diseases and the high mortality caused by these diseases, while today, due to the control of infectious diseases, the development of urbanization, the advancement of industry and machine life, in other words, the change in the quality and lifestyle of people, the spread of diseases Non-communicable diseases have increased and gradually contagious diseases have given their place to non-communicable diseases, so that today the most important causes of death in societies are non-communicable diseases, especially cardiovascular diseases, cancers and accidents. Diabetes mellitus is a chronic disease that is very expensive, complicated and debilitating. By the end of 2017, more than 425 million people between the ages of 20 and 79 were suffering from diabetes, which will reach 619 million people by 2045. For this reason, it is very important to provide diabetes control solutions. In this paper, a new method for simulating control in diabetic patients is presented. For this purpose, the technique of fuzzy expert system has been used in MATLAB software to analyze the data.
