Type 1 diabetes in 2017: global estimates of incident and prevalent cases in children and adults

Adult Epidemiology Global estimates Global Health Article 03 medical and health sciences 0302 clinical medicine SDG 3 - Good Health and Well-being Prevalence Adults Humans /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being; name=SDG 3 - Good Health and Well-being info:eu-repo/classification/ddc/613 Child Children Incidence Infant, Newborn 1. No poverty 3. Good health Type 1 diabetes Diabetes Mellitus, Type 1 Income /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
DOI: 10.1007/s00125-021-05571-8 Publication Date: 2021-10-04T18:01:05Z
ABSTRACT
Data on type 1 diabetes incidence and prevalence are limited, particularly for adults. This study aims to estimate global numbers of incident prevalent cases in 2017 all age groups, by country areas defined income region.Incidence rates children (available from 94 countries) the IDF Atlas were used extrapolated countries without data. Age-specific adults (only known across full range fewer than ten obtained applying scaling ratios each adult group relative rate children. applied population estimates obtain case numbers. Duration was estimated available data adjusted using differences childhood mortality between United Nations demographic Prevalent derived modelling relationship prevalence, disease duration. Sensitivity analyses performed quantify impact alternative assumptions model inputs.Global be 234,710 9,004,610, respectively, 2017. High-income countries, with 17% population, accounted 49% 52% cases. Asia, which has largest proportion world's (60%), had number (32%) (31%) diabetes. Globally, 6%, 35%, 43% 16% groups 0-14, 15-39, 40-64 65+ years, respectively. Based sensitivity analyses, could deviate ±15%.Globally, represents about 2% total diabetes, ranging less 1% certain Pacific more 15% Northern European populations provides information development healthcare policy approaches manage The need further validation due limitations related availability estimation methods.
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