WFRF:(Astell A. J.)
Sökning: WFRF:(Astell A. J.) > (2022) > Diabetes mortality ...
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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 18563naa a2205257 4500 | |
| 001 | oai:gup.ub.gu.se/316371 | |
| 003 | SwePub | |
| 008 | 240528s2022 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://gup.ub.gu.se/publication/3163712 URI |
| 024 | 7 | a https://doi.org/10.1016/s2213-8587(21)00349-12 DOI |
| 040 | a (SwePub)gu | |
| 041 | a eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Cousin, E.4 aut |
| 245 | 1 0 | a Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019 |
| 264 | 1 | b Elsevier BV,c 2022 |
| 520 | a 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 used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990-2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. Findings In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73.7% (68.3 to 77.4) were classified as due to type 1 diabetes. The age-standardised death rate was 0.50 (0.44 to 0.58) per 100 000 population, and 15 900 (97.5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0.13 (0.12 to 0.14) per 100 000 population in the high SDI quintile, 0.60 (0.51 to 0.70) per 100 000 population in the low-middle SDI quintile, and 0.71 (0.60 to 0.86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r(2)=0.62). From 1990 to 2019, age-standardised death rates decreased globally by 17.0% (-28.4 to -2.9) for all diabetes, and by 21.0% (-33.0 to -5.9) when considering only type 1 diabetes. However, the low SDI quintile had the lowest decline for both all diabetes (-13.6% [-28.4 to 3.4]) and for type 1 diabetes (-13.6% [-29.3 to 8.9]). Interpretation Decreasing diabetes mortality at ages younger than 25 years remains an important challenge, especially in low and low-middle SDI countries. Inadequate diagnosis and treatment of diabetes is likely to be major contributor to these early deaths, highlighting the urgent need to provide better access to insulin and basic diabetes education and care. This mortality metric, derived from readily available and frequently updated GBD data, can help to monitor preventable diabetes-related deaths over time globally, aligned with the UN's Sustainable Development Targets, and serve as an indicator of the adequacy of basic diabetes care for type 1 and type 2 diabetes across nations. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. | |
| 650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Endokrinologi och diabetes0 (SwePub)302052 hsv//swe |
| 650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Endocrinology and Diabetes0 (SwePub)302052 hsv//eng |
| 653 | a childhood | |
| 653 | a insulin | |
| 653 | a complications | |
| 653 | a challenges | |
| 653 | a access | |
| 653 | a cohort | |
| 653 | a brazil | |
| 653 | a Endocrinology & Metabolism | |
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| 700 | 1 | a Jabbari, S. H. Y.4 aut |
| 700 | 1 | a Yatsuya, H.4 aut |
| 700 | 1 | a Yaya, S.4 aut |
| 700 | 1 | a Yazie, T. S. Y.4 aut |
| 700 | 1 | a Yi, S. Y.4 aut |
| 700 | 1 | a Yonemoto, N.4 aut |
| 700 | 1 | a Yunusa, I.4 aut |
| 700 | 1 | a Zadey, S.4 aut |
| 700 | 1 | a Bin Zaman, S.4 aut |
| 700 | 1 | a Zamanian, M.4 aut |
| 700 | 1 | a Zamora, N.4 aut |
| 700 | 1 | a Zastrozhin, M. S.4 aut |
| 700 | 1 | a Zastrozhina, A.4 aut |
| 700 | 1 | a Zhang, Z. J.4 aut |
| 700 | 1 | a Zhong, C. W.4 aut |
| 700 | 1 | a Zmaili, M.4 aut |
| 700 | 1 | a Zumla, A.4 aut |
| 700 | 1 | a Naghavi, M.4 aut |
| 700 | 1 | a Schmidt, M. I.4 aut |
| 710 | 2 | a Göteborgs universitetb Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa4 org |
| 773 | 0 | t Lancet Diabetes & Endocrinologyd : Elsevier BVg 10:3, s. 177-192q 10:3<177-192x 2213-8587 |
| 856 | 4 | u http://www.thelancet.com/article/S2213858721003491/pdf |
| 856 | 4 8 | u https://gup.ub.gu.se/publication/316371 |
| 856 | 4 8 | u https://doi.org/10.1016/s2213-8587(21)00349-1 |
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