Global burden of type 1 diabetes in adults aged 65 years and older, 1990-2019: population based study.

OBJECTIVES: To estimate the burden, trends, and inequalities of type 1 diabetes mellitus (T1DM) among older adults at global, regional, and national level from 1990 to 2019. DESIGN: Population based study. POPULATION: Adults aged ≥65 years from 21 regions and 204 countries and territories (Global Burden of Disease and Risk Factors Study 2019)from 1990 to 2019. MAIN OUTCOME MEASURES: Primary outcomes were T1DM related age standardised prevalence, mortality, disability adjusted life years (DALYs), and average annual percentage change. RESULTS: The global age standardised prevalence of T1DM among adults aged ≥65 years increased from 400 (95% uncertainty interval (UI) 332 to 476) per 100 000 population in 1990 to 514 (417 to 624) per 100 000 population in 2019, with an average annual trend of 0.86% (95% confidence interval (CI) 0.79% to 0.93%); while mortality decreased from 4.74 (95% UI 3.44 to 5.9) per 100 000 population to 3.54 (2.91 to 4.59) per 100 000 population, with an average annual trend of -1.00% (95% CI -1.09% to -0.91%), and age standardised DALYs decreased from 113 (95% UI 89 to 137) per 100 000 population to 103 (85 to 127) per 100 000 population, with an average annual trend of -0.33% (95% CI -0.41% to -0.25%). The most significant decrease in DALYs was observed among those aged <79 years: 65-69 (-0.44% per year (95% CI -0.53% to -0.34%)), 70-74 (-0.34% per year (-0.41% to -0.27%)), and 75-79 years (-0.42% per year (-0.58% to -0.26%)). Mortality fell 13 times faster in countries with a high sociodemographic index versus countries with a low-middle sociodemographic index (-2.17% per year (95% CI -2.31% to -2.02%) v -0.16% per year (-0.45% to 0.12%)). While the highest prevalence remained in high income North America, Australasia, and western Europe, the highest DALY rates were found in southern sub-Saharan Africa, Oceania, and the Caribbean. A high fasting plasma glucose level remained the highest risk factor for DALYs among older adults during 1990-2019. CONCLUSIONS: The life expectancy of older people with T1DM has increased since the 1990s along with a considerable decrease in associated mortality and DALYs. T1DM related mortality and DALYs were lower in women aged ≥65 years, those living in regions with a high sociodemographic index, and those aged <79 years. Management of high fasting plasma glucose remains a major challenge for older people with T1DM, and targeted clinical guidelines are needed.

Household food insecurity and associations with hemoglobin A1c and acute diabetes-related complications in youth and young adults with type 1 diabetes: The SEARCH for Diabetes in Youth study.

AIMS: To examine, among youth and young adults (YYA) with type 1 diabetes (T1D), the association of household food insecurity (HFI) with: 1) HbA1c and 2) episodes of diabetic ketoacidosis (DKA) and severe hypoglycemia. METHODS: HFI was assessed using the U.S. Household Food Security Survey Module in SEARCH for Diabetes in Youth participants with T1D between 2016 and 2019. Linear and logistic regression models adjusted for age, diabetes duration, sex, race, ethnicity, clinic site, parent/participant education, household income, health insurance, and diabetes technology use. RESULTS: Of 1830 participants (mean age 20.8 ± 5.0 years, 70.0 % non-Hispanic White), HbA1c was collected for 1060 individuals (mean HbA1c 9.2 % ± 2.0 %). The prevalence of HFI was 16.4 %. In the past 12 months, 18.2 % and 9.9 % reported an episode of DKA or severe hypoglycemia, respectively. Compared to participants who were food secure, HFI was associated with a 0.33 % (95 % CI 0.003, 0.657) higher HbA1c level. Those with HFI had 1.58 (95 % CI 1.13, 2.21) times the adjusted odds of an episode of DKA and 1.53 (95 % CI 0.99, 2.37) times the adjusted odds of an episode of severe hypoglycemia as those without HFI. CONCLUSIONS: HFI is associated with higher HbA1c levels and increased odds of DKA in YYA with T1D.

Socioeconomic Deprivation and the Risk of Sight-Threatening Diabetic Retinopathy: A Population-Based Cohort Study in the U.K.

OBJECTIVE: To evaluate the associations between socioeconomic deprivation and sight-threatening diabetic retinopathy (STDR) in individuals with type 1 diabetes (T1D) and type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS: Data from 175,628 individuals with diabetes in the Health Improvement Network were used to assess the risk of STDR across Townsend Deprivation Index quantiles using Cox proportional hazard regression. RESULTS: Among individuals with T1D, the risk of STDR was three times higher (adjusted hazard ratio [aHR] 2.67, 95% CI 1.05-7.78) in the most deprived quintile compared with the least deprived quintile. In T2D, the most deprived quintile had a 28% higher risk (aHR 1.28; 95% CI 1.15-1.43) than the least deprived quintile. CONCLUSIONS: Increasing socioeconomic deprivation is associated with a higher risk of developing STDR in people with diabetes. This underscores persistent health disparities linked to poverty, even within a country offering free universal health care. Further research is needed to address health equity concerns in socioeconomically deprived regions.

Sleep disturbances in children and adolescents with type 1 diabetes mellitus: Prevalence, and relationship with diabetes management.

OBJECTIVE: A decline in sleep quality and regularity has been reported in patients with type 1 diabetes mellitus (T1D) in many studies. However, research on medical-based sleep disorders in patients with T1D is limited. Diagnosing sleep disorders is crucial, as it negatively impacts academic performance, cardiovascular health, and cognitive functions among children as well as essential skills for effective diabetes management. Our objective was to assess sleep disturbances in patients diagnosed with T1D and explore whether these patients experience significantly more sleep disturbances compared to their healthy peers. METHODS: This study, designed as a cross-sectional case-control investigation, involved a cohort of 250 participants (144 T1D, 106 control cases) aged 6-15 years. The Sleep Disturbance Scale for Children (SDCS) scores of the T1D group were compared with those of the control group. Furthermore, the study explored the correlation between clinical/biochemical parameters and SDCS scores within the T1D group. RESULTS: The mean age of individuals in the T1D group was 10.27 ± 3.25 years, while the control group had a comparable mean age of 10.48 ± 3.5 years (P = 0.303). Within the T1D group, the median duration of diabetes was 5 (1-15) years, and the median glycosylated hemoglobin A1c (HbA1c) level for the past one year was 8.4 %. Although there was no significant difference in total SDSC scores between the T1D and control groups, both groups exhibited average scores that remained close to the threshold indicative of sleep disturbances (>39). Notably, individuals with total SDSC scores surpassing 39 were identified at rates of 48.6 % in the T1D group and 47.6 % in the control group, respectively. Furthermore, disorders of arousal nightmares (DA) were more prevalent in T1D patients compared to their healthy peers (P = 0.049). Additionally, HbA1c showed a positive correlation with scores for disorders of excessive somnolence (DOES) and total scores (P < 0.001, R = 0.368; P = 0.003, R = 0.243). CONCLUSION: Our study found that the prevalence of sleep disturbances among children and adolescents with T1D was not significantly higher than that observed in their healthy peers. Nevertheless, it is crucial to note that a notable portion, 48.6 % of T1D cases and 47.6 % of healthy cases, displayed sleep disturbances based on SDSC scores. To optimize diabetes management and proactively address potential challenges, incorporating routine screening for sleep disturbances in the monitoring of T1D patients can yield valuable benefits.

Type 1 and type 2 diabetes mortality burden: Predictions for 2030 based on Bayesian age-period-cohort analysis of China and global mortality burden from 1990 to 2019.

AIMS: This study assessed diabetes (type 1 and type 2) mortality in China and globally from 1990 to 2019, predicting the next decade's trends. MATERIALS AND METHODS: Data came from the Global Burden of Disease (GBD) database. The annual percentage change (AAPC) in age-standardized mortality rates (ASMR) for diabetes (type 1 and type 2) during 1990-2019 was calculated. A Bayesian age-period-cohort (BAPC) model predicted diabetes (type 1 and type 2) mortality from 2020 to 2030. RESULTS: In China, type 1 diabetes deaths declined from 6,005 to 4,504 cases (AAPC -2.827), while type 2 diabetes deaths rose from 64,084 to 168,388 cases (AAPC -0.763) from 1990 to 2019. Globally, type 1 diabetes deaths increased from 55,417 to 78,236 cases (AAPC 0.223), and type 2 diabetes deaths increased from 606,407 to 1,472,934 cases (AAPC 0.365). Both China and global trends showed declining type 1 diabetes ASMR. However, female type 2 diabetes ASMR in China initially increased and then decreased, while males had a rebound trend. Peak type 1 diabetes deaths were in the 40-44 age group, and type 2 diabetes peaked in those over 70. BAPC predicted declining diabetes (type 1 and type 2) mortality burden in China and globally over the next 10 years. CONCLUSIONS: Type 2 diabetes mortality remained high in China and globally despite decreasing type 1 diabetes mortality over 30 years. Predictions suggest a gradual decrease in diabetes mortality over the next decade, highlighting the need for continued focus on type 2 diabetes prevention and treatment.

Socio-economic disparities in hospital care among Dutch patients with diabetes mellitus.

AIM: Socio-economic status (SES) influences diabetes onset, progression and treatment. In this study, the associations between SES and use of hospital care were assessed, focusing on hospitalizations, technology and cardiovascular complications. MATERIALS AND METHODS: This was an observational cohort study comprising 196 695 patients with diabetes (all types and ages) treated in 65 hospitals across the Netherlands from 2019 to 2020 using reimbursement data. Patients were stratified in low, middle, or high SES based on residential areas derived from four-digit zip codes. RESULTS: Children and adults with low SES were hospitalized more often than patients with middle or high SES (children: 22%, 19% and 15%, respectively; p < .001, adults: 28%, 25% and 23%; p < .001). Patients with low SES used the least technology: no technology in 48% of children with low SES versus 40% with middle SES and 38% with high SES. In children, continuous subcutaneous insulin infusion (CSII) and real-time continuous glucose monitoring (rtCGM) use was higher in high SES {CSII: odds ratio (OR) 1.54 [95% confidence interval (CI) 1.35-1.76]; p < .001; rtCGM OR 1.39 [95% CI 1.20-1.61]; p < .001} and middle SES [CSII: OR 1.41 (95% CI 1.24-1.62); p < .001; rtCGM: OR 1.27 (95% CI 1.09-1.47); p = .002] compared with low SES. Macrovascular (OR 0.78 (95% CI 0.75-0.80); p < .001) and microvascular complications [OR 0.95 (95% CI 0.93-0.98); p < .001] occurred less in high than in low SES. CONCLUSIONS: Socio-economic disparities were observed in patients with diabetes treated in Dutch hospitals, where basic health care is covered. Patients with low SES were hospitalized more often, used less technology, and adults with high SES showed fewer cardiovascular complications. These inequities warrant attention to guarantee equal outcomes for all.

Disparities in Continuous Glucose Monitor Use Between Children With Type 1 Diabetes Living in Urban and Rural Areas.

OBJECTIVE: Despite evidence that continuous glucose monitoring (CGM) use is associated with lower HbA1c among children with type 1 diabetes, uptake of this technology remains lower among those with difficulty accessing health care, including those from lower socioeconomic status backgrounds and racial and ethnic minorities. In this study, we sought to explore the impact of rural location in use of CGM technology to guide patient and provider decision making. RESEARCH DESIGN AND METHODS: In this retrospective study of electronic health record demographic and visits data from a single diabetes program from 1 January 2018 through 31 December 2021, we compared the odds of completing a visit with (+) and without (-) CGM interpretation between rural-urban commuting area (RUCA) designations. RESULTS: Among the 13,645 visits completed by 2,008 patients with type 1 diabetes younger than age 18 years, we found children living in small rural towns had 31% lower odds (6.3% of CGM+ visits, 8.6% of CGM- visits; adjusted odds ratio [aOR] 0.69, 95% CI 0.51-0.94) and those living in isolated rural towns had 49% lower odds (2.0% of CGM+ visits, 3.4% of CGM- visits; aOR 0.51, 95% CI 0.28-0.92) of completing a CGM-billed clinic visit compared with those living in urban areas (70.0% of CGM+ visits, 67.2% of CGM- visits). We also found significant differences in CGM-billed visits by neighborhood deprivation as well as race/ethnicity and insurance payor. CONCLUSIONS: Geographic location presents a meaningful barrier to access to care for patients living with type 1 diabetes. Further work is needed to identify and address the needs of children and families living in rural areas to improve the care of these patients.

Health state utility values for children and adolescents with type 1 diabetes: A systematic review and meta-analysis.

BACKGROUND: Type 1 diabetes mellitus (T1DM) is one of the most burdensome chronic diseases in the world. Health utility values are an important tool for quantifying this disease burden and conducting cost-utility analyses. This review aimed to derive a reference set of health utility values for children and adolescents with T1DM. METHODS: We searched MEDLINE and Embase from inception to March 2023 for health utility values of T1DM children and adolescents (aged ≤18 years) measured using direct and indirect preference elicitation approaches. Utility estimates were pooled by meta-analyses with subgroup analyses to evaluate differences by populations and elicitation approaches. RESULTS: Six studies involving 1276 participants were included in this study. Meta-analysis showed the overall utility value of children and adolescents with T1DM was 0.91 (95% CI 0.89-0.93). The utility value of T1DM children and adolescents with complications was 0.90 (95% CI 0.88-0.92), which was lower than those without complications (0.96, 95% CI 0.95-0.97). The utility value of children (aged <13 years) was higher than adolescents (aged 13-18 years) (0.90 vs. 0.85). The utility value measured by the EQ-5D-3L (0.91) was higher than the HUI3 (0.89), the SF-6Dv1 (0.83), and the time trade-off (0.81). The parent proxy-reported was similar to the patient self-reported (0.91 vs. 0.91). CONCLUSIONS: This study developed a reference set of pooled utility estimates for children and adolescents with T1DM, which is helpful for understanding the overall health status of T1DM and conducting economic evaluations. Further studies are needed to explore the utilities of T1DM with different types of complications.

Type 1 diabetes mellitus disease burden in high health expenditure countries between 1990 and 2019.

OBJECTIVE: This observational study assesses trends in type 1 diabetes mellitus (T1DM) disease burden across the 19 countries of the European Union (EU) 15+ between 1990 and 2019. METHODS: The Global Burden of Disease Study database was used to gather T1DM age-standardised incidence (ASIR), prevalence (ASPR), mortality (ASMR), and disability-adjusted life-year (DALY) rates per 100,000 for each EU15+ country (1990 - 2019). Joinpoint regression analysis was used to describe the trends. RESULTS: From 1990 to 2019, T1DM ASIRs and ASPRs increased globally except for females in Finland (-2.9% and -9.4%), the largest increase in ASPR for males and females was observed in France (+144.4% and +137.5% respectively). All had reductions in ASMRs for males and females, with the largest observed in Spain (-56.7% and -79.0% respectively). Trends in DALYs were variable across countries, with increases in DALYs noted in 14/19 for males, and 9/19 for females. Denmark, Finland, Norway, Netherlands, and Sweden had a reduction in DALYs for both males and females. CONCLUSIONS: Mortality from T1DM is reducing across EU15+ countries, despite concomitant increases in incidence and prevalence rates. Trends in DALYs are variable across countries, reflecting differential trends in the disease burden across countries with similarly high health expenditure.

Internet analytics of an innovative digital educational resource of type 1 diabetes HelloType1 in local languages for people living with diabetes families and healthcare professionals in Southeast Asia.

BACKGROUND: There is minimal data of health outcomes for Type 1 Diabetes (T1D) in Southeast Asia (SEA) where government funding of insulin and blood glucose monitoring either do not exist or is limited. The full impact of Covid-19 pandemic on the national economies of SEA remain unknown. In the midst of the pandemic, in 2021, HelloType1 was developed by Action4Diabetes (A4D), a non-government organisation charity in collaboration with Southeast Asia local healthcare professionals as an innovative digital educational resource platform of T1D in local languages. HelloType1 was launched in Cambodia, Vietnam, Thailand and Malaysia in 2021 to 2022 with Memorandums of Understandings (MOUs) signed between A4D and each country. Internet data analytics were undertaken between the 1st of January 2022 to 31st of December 2022. AIMS: The aims of this study were to explore the usability and internet data analytics of the HelloType1 online educational platform within each country. METHODS: The data analytics were extracted Google analytics that tracks data from the website hellotype1.com and Facebook analytics associated with the website. RESULTS: There was a 147% increase in the number of HelloType1 users between the first 6 months versus the latter 6 months in 2022 and a 15% increase in the number of pages visited were noted. The majority of traffic source were coming from organic searches with a significant increase of 80% growth in 2022. CONCLUSIONS: The results of the analytics provide important insights on how an innovative diabetes digital educational resource in local languages may be optimally delivered in low-middle income countries with limited resources.

Assessment of common risk factors of diabetes and chronic kidney disease: a Mendelian randomization study.

Background: The increasing prevalence of diabetes and its significant impact on mortality and morbidity rates worldwide has led to a growing interest in understanding its common risk factors, particularly in relation to chronic kidney disease (CKD). This research article aims to investigate the shared risk factors between type 1 diabetes (T1D), type 2 diabetes (T2D), and CKD using a Mendelian randomization (MR) design. Methods: The study utilized genome-wide association study (GWAS) datasets for T1D, T2D, and CKD from the FinnGen research project. GWAS summary statistics datasets for 118 exposure traits were obtained from the IEU OpenGWAS database. MR analyses were conducted to examine the causal relationships between exposure traits and each of the three outcomes. Multiple methods, including inverse-variance weighted, weighted median, and MR-Egger, were employed for the MR studies. Results: Phenome-wide MR analyses revealed that eosinophil percentage exhibited a significant and suggestive causal association with T1D and CKD, respectively, suggesting its potential as a shared risk factor for T1D and CKD. For T2D, 34 traits demonstrated significant associations. Among these 34 traits, 14 were also significantly associated with CKD, indicating the presence of common risk factors between T2D and CKD, primarily related to obesity, height, blood lipids and sex hormone binding globulin, blood pressure, and walking pace. Conclusion: This research has uncovered the eosinophil percentage as a potential common risk factor for both T1D and CKD, while also identifying several traits, such as obesity and blood lipids, as shared risk factors for T2D and CKD. This study contributes to the understanding of the common risk factors between diabetes and CKD, emphasizing the need for targeted interventions to reduce the risk of these diseases.

Assessment of pubertal onset and disorders of puberty in Indian children and youth with type-1 diabetes.

OBJECTIVES: Disorders of pubertal development are enlisted as associated conditions in children and adolescents with type-1 diabetes (T1D). We conducted this study with objective (1) To estimate the median age at onset of puberty and luteinizing hormone (LH) and sex-steroid concentrations in Indian adolescents with T1D and (2) To assess the impact of puberty on glycemic control and insulin resistance (IR). METHODS: This cross-sectional study included 399 children and youth aged 6-23 years with T1D. Demographic, anthropometric, biochemical and pelvic ultrasound data were collected using standard protocols. IR was calculated using estimated glucose disposal rate and puberty was assessed using Tanner staging. RESULTS: Median age at onset of thelarche, pubarche and menarche were 11.3, 11.4 and 12.8 years in girls and that of gonadarche and pubarche were 10.6 and 12.7 years for boys. The mean LH and sex-steroid concentrations of subjects with T1D were similar to healthy subjects at each stage of puberty. The cut-offs of LH and sex-steroids derived from healthy Indian children yielded high sensitivity and specificity in determining pubertal onset. The prevalence of precocity, delayed puberty, ovarian cysts and polycystic ovaries was 0.9 , 5.1, 5.1 and 8.6 %, respectively. Glycaemic control and insulin sensitivity was poor in pubertal subjects. CONCLUSIONS: The age at onset of puberty, LH, and sex-steroid concentrations in subjects with T1D were like otherwise healthy Indian children with poor glycemic control and IR in pubertal subjects. Although most complications of T1D are associated with poor glycemic control, pubertal disorders were significantly low despite the less-than-optimal glycemic control.

Assessment Of Serum Vitamin D Level In Children With Type 1 Diabetes Mellitus: A Cross-Sectional Study.

Objectives: To estimate vitamin D levelsin children with type 1 diabetes, and to evaluate itsrole in the pathogenesis and progress of the disease. Method: The cross-sectional study was conducted at the Paediatric Department of Kafrelsheikh University Hospital, Egypt, from November 2019 to August 2021, and comprised children of either gender aged 3-18 years who were either inpatients or visiting the paediatric outpatient clinic. The subjects were enrolled into 3 groups. Those with newly diagnosed type 1 diabetes were in group A, those with established type 1 diabetes were in group B, and healthy children matched for age and gender and randomly selected were in the control group C. Glycated haemoglobin, serum fasting C-peptide, and serum vitamin D levels were evaluated using quantitative colorimetric determination, an automated analyser, and enzyme-linked immunosorbent assay, respectively. Data was analysed using SPSS 25. RESULTS: Of the 80 subjects, 30(37.5%) were in group A; 17(56.7%) boys and 13(43.3%) girls with mean age 7.77±2.95 years. In group B, there were 30(37.5%) subjects; 14(46.7%) boys and 16(53.3%) girls with mean age 9.6±3.62 years. There were 20(25%) subjects in group C; 10(50%) boys and as many girls with mean age 8.38±2.68 years (p>0.05). Glycated haemoglobin,serum fasting C-peptide and serum vitamin D wassignificantly different between the control group and the treatment groups (p<0.05). Between the treatment groups, group B had better markers than group A (p<0.05). CONCLUSIONS: Serum vitamin D deficiency may play a role in the pathogenesis and insulin sensitivity in cases of type 1 diabetes.

Socioeconomic Disparities in Glycemic Management in Children and Youth With Type 1 Diabetes: A Retrospective Cohort Study.

OBJECTIVE: In Canada, few studies have addressed health inequalities in type 1 diabetes (T1D) outcomes. In this study, we examined the relationship between socioeconomic status (SES) and glycemic management in children with T1D and determine whether technology use (insulin pumps or continuous glucose monitoring [CGM]), diabetes-related physician visits, and depressive symptoms modified the association. METHODS: This work was a retrospective cohort study using the Montréal Children's Hospital Pediatric Diabetes Database of children 0 to 18 years old, diagnosed with T1D for ≥1 year, and with a hospital visit between November 2019 and October 2020. Main exposure was SES measured by the Material and Social Deprivation Index (least, moderately, or most deprived). We determined the association between SES and mean glycated hemoglobin (A1C; main outcome) in the year after the index visit using multivariable linear regression, adjusting for age, sex, diabetes duration, technology use, diabetes-related physician visits, and depressive symptoms (subgroup). We examined interaction terms for technology use, diabetes-related physician visits, and depressive symptoms. RESULTS: The study cohort included 306 children (mean age 13.6 years, mean A1C 8.5%). Children in the most-deprived compared with least-deprived quintiles had higher mean A1C; effect modification was significant with CGM only. Children not using CGM in the most-deprived compared with least-deprived quintiles had higher mean A1C (0.52%; 95% confidence interval, 0.14% to 0.86%), whereas the association was not significant for children using CGM. CONCLUSIONS: Lower SES was associated with higher A1C; these disparities were not observed among CGM users. Further research is required to determine strategies to promote CGM access among children of lower SES in the Canadian health-care context.

Combining polygenic risk scores and human leukocyte antigen variants for personalized risk assessment of type 1 diabetes in the Taiwanese population.

AIMS: To analyse the genome-wide association study (GWAS) data of patients with type 1 diabetes mellitus (T1D) in order to develop a risk score for the genetic effects on T1D risk and age at diagnosis in the Taiwanese population. MATERIALS AND METHODS: We selected 610 patients with T1D and 2511 healthy individuals from an electronic medical record database of more than 300 000 individuals with genetic information, analysed their GWAS data, and developed a polygenic risk score (PRS). RESULTS: The PRS, based on 149 selected single-nucleotide polymorphisms, could effectively predict T1D risk. A PRS increase was associated with increased T1D risk (odds ratio [OR] 2.09, 95% confidence interval [CI] 1.72-2.55). Moreover, a 1-unit increase in standardized T1D PRS decreased the age at diagnosis by 0.74 years. Combined PRS and human leukocyte antigen (HLA) DQA1*03:02-DQA1*05:01 genotypes could accurately predict T1D risk. In multivariable models, HLA variants and PRS were independent risk factors for T1D risk (OR 3.76 [95% CI 1.54-9.16] and 1.71 [95% CI 1.37-2.13] for HLA DQA1*03:02-DQA1*05:01 and PRS, respectively). In a limited study population of those aged ≤18 years, PRS remained significantly associated with T1D risk. The association between T1D PRS and age at diagnosis was more obvious among males and patients aged ≤18 years. CONCLUSIONS: Polygenic risk score and HLA variations enable personalized risk estimates, enhance newborn screening efficiency for ketoacidosis prevention, and addresses the gap in data on T1D prediction in isolated Asian populations.

Is socio-economic status associated with risk of childhood type 1 diabetes? Literature review.

AIMS: Studies of social inequality and risk of developing type 1 diabetes are inconsistent. The present review aimed to comprehensively review relevant literature and describe what has been reported on socio-economic status or parental occupation and risk of type 1 diabetes in children. METHODS: We searched for publications between 1 January 1970 and 30 November 2021. We focused on the most recent and/or informative publication in cases of multiple publications from the same data source and referred to these as primary studies. RESULTS: Our search identified 69 publications with relevant data. We identified eight primary cohort studies with individual-level data, which we considered the highest quality of evidence. Furthermore, we identified 13 primary case-control studies and 14 semi-ecological studies with area-level socio-economic status variables which provided a weaker quality of evidence. Four of eight primary cohort studies contained data on maternal education, showing non-linear associations with type 1 diabetes that were not consistent across studies. There was no consistent pattern on the association of parental occupation and childhood-onset type 1 diabetes. CONCLUSIONS: There is a need for more high-quality studies, but the existing literature does not suggest a major and consistent role of socio-economic status in the risk of type 1 diabetes.