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Aims: We sought to investigate whether individuals with diabetes have a higher likelihood of testing positive for SARS-CoV-2, as a proxy for infection risk, than individuals without diabetes.Methods: We conducted a cross-sectional study of publicly available data among a Mexican population, totaling 2,314,022 adults ≥ 18 years who underwent SARS-CoV-2 testing between March 1 and December 20, 2020. We used 1:1 nearest neighborhood propensity score matching by diabetes status to account for confounding among those with and without diabetes.Results: In the overall study population, 1,057,779 (45.7%) individuals tested positive for SARS-CoV-2 and 270,486 (11.7%) self-reported diabetes. After propensity score matching, patient characteristics were well-balanced, with 150,487 patients in the diabetes group (mean [SD] age 55.9 [12.7] years; 51.3% women) and 150,487 patients in the no diabetes group (55.5 [13.3] years; 50.3% women). The strictest matching algorithm (1:1 nearest neighbor) showed that compared to individuals without diabetes, having diabetes was associated with 9.0% higher odds of having a positive SARS-CoV-2 test (OR 1.09 [95% CI: 1.08-1.10]).Conclusions: Presence of diabetes was associated with higher odds of testing positive for SARS-CoV-2, which could have important implications for risk mitigation efforts for people with diabetes at risk of SARS-CoV-2 infection. [ABSTRACT FROM AUTHOR]

Aims: We aimed to characterize and illustrate the regional and state-level change in type 2 diabetes (T2D) prevalence in Mexico between 1990 and 2017.Methods: We conducted an ecological and secondary analysis using data from the Global Burden of Disease study on T2D prevalence of the adult Mexican population. We estimated the absolute increase and annual growth rate of T2D prevalence between 1990 and 2017, stratified by age group and region.Results: Nationally, between 1990 and 2017, the prevalence of T2D in Mexico increased from 9.5% to 14.3%. The highest increase in T2D prevalence was observed in the East and Southcentral regions, with the lowest absolute change in T2D prevalence observed in Northern states. The highest average annual growth rate in T2D prevalence was observed in Southern Mexico, in the three Southern states with the lowest human development index, and among individuals ages 15-49 years across all regions, compared to those 50 years and older.Conclusions: The prevalence of T2D in Mexico has increased substantially over the past three decades, with a clear shift in T2D prevalence from Northern to Southern states and a faster increase occurring in Southern Mexico among younger adults and in areas with lower economic resources. [ABSTRACT FROM AUTHOR]

Aims: We aimed to evaluate the readiness and predictors of diabetes service capability at the level of primary care in Bangladesh as an illustrative instance of readiness for diabetes care in low- and middle-income countries (LMICs).Methods: We used data from the 2014 Bangladesh Health Facility Survey (BHFS), a cross-sectional, nationally representative survey (n = 1596 health facilities). We constructed a diabetes-specific readiness index to assess diabetes service readiness in facilities with outpatient capability and used multivariable regression analysis to evaluate contextual predictors of diabetes service readiness.Results: Three-hundred and forty-five facilities with outpatient and diabetes service capability were included. Mean readiness for diabetes service capability on a scale of 0-100 was 24.9 (95%CI: 20.8-28.9) and was lowest in rural settings, districts with high social deprivation, and public facilities, where diabetes diagnostic equipment and medications were largely unavailable. Facility type was the strongest, independent predictor of diabetes service readiness.Conclusions: Diabetes service readiness in outpatient facilities in Bangladesh was low, particularly in public facilities, rural settings, and districts with high social deprivation. .These findings could inform policies aimed at improving diabetes care in areas of high unmet need and may serve as a model to assess diabetes service readiness in other LMICs. [ABSTRACT FROM AUTHOR]