Demographic data of the type 2 diabetes and control groups.

Propensity matched for the time when subjects were enrolled, age, gender, hypertension, hyperlipidemia, and previous stroke history.

Participant demographics by prediabetes and type 2 diabetes status.

Demographic characteristics of 309 patients with type 2 diabetes.

Diabetic patient demographics.

Sample sizes of diabetes patients with COVID-19 hospitalization across different demographic groups.

Demographic characteristics of study participants by diabetes status among blacks and whites.

Mean±SD.*indicates the comparison between healthy controls and schizophrenia with diabetes or diabetes only:*p<0.01.+indicates the comparison between diabetes only and schizophrenia with or without diabetes:+p<0.05,++p<0.001.#indicates the comparison between schizophrenia with and without diabetes:#p<0.01. NA = not applicable.

Sample demographics for adults with diabetes, BRFSS (n = 39,604).

Estimated prevalence of diabetes by lifestyle and demographic factors. Stockholm Public Health Survey 2010.

aData from one patient with type 2 diabetes mellitus are not available.Abbreviations: SD, standard deviation; NA, not available.

Univariable analysis of patients’ demographic characteristics and determinants of type-2 diabetes mellitus.

Distribution of healthy, diagnosed diabetes mellitus and undiagnosed diabetes mellitus people by socio-demographic groups of the respondents.

BackgroundData on the future diabetes burden in Scandinavia is limited. Our aim was to project the future burden of diabetes in Sweden by modelling data on incidence, prevalence, mortality, and demographic factors.MethodTo project the future burden of diabetes we used information on the prevalence of diabetes from the national drug prescription registry (adults ≥20 years), previously published data on relative mortality in people with diabetes, and population demographics and projections from Statistics Sweden. Alternative scenarios were created based on different assumptions regarding the future incidence of diabetes.ResultsBetween 2007 and 2013 the prevalence of diabetes rose from 5.8 to 6.8% in Sweden but incidence remained constant at 4.4 per 1000 (2013). With constant incidence and continued improvement in relative survival, prevalence will increase to 10.4% by year 2050 and the number of afflicted individuals will increase to 940 000. Of this rise, 30% is accounted for by changes in the age structure of the population and 14% by improved relative survival in people with diabetes. A hypothesized 1% annual rise in incidence will result in a prevalence of 12.6% and 1 136 000 cases. Even with decreasing incidence at 1% per year, prevalence of diabetes will continue to increase.ConclusionWe can expect diabetes prevalence to rise substantially in Sweden over the next 35 years as a result of demographic changes and improved survival among people with diabetes. A dramatic reduction in incidence is required to prevent this development.

†data available on 43 subjects,a– p-value for HIV+ diabetes+ versus HIV+.b– p value for HIV+ diabetes+ versus diabetes+.c– p value for HIV+ versus diabetes+.

Comparison of key demographics between participants with self-reported diabetes and those without, stratified by Indigenous status.

Demographic and clinical characteristics in patients with type 2 diabetes with and without hypoglycemic emergency after propensity score-matching.

aNote only the two collapsed ambulatory diagnostic groups (CADGs) relating to chronic medical conditions are presented in Table 1. Nine other CADGs, relating to other categories of medical conditions, were included in the fully adjusted models. Pregnancy, however, was excluded. See Table S1.

US population simulation estimates of diabetes prevalence (95% CI) during pregnancy in non-Hispanic white and non-Hispanic black women ages 15–44.

Dataset from the Vanderbilt sets of data. Diabetes diagnosed by A1c of 6.5 or greater. Demographics factors and lab values included. Can be used for multiple purposes. Note the various worksheets, including the codebook