- Title
- Diabetes mortality and trends before 25 years of age : an analysis of the global burden of disease study 2019
- Creator
- Cousin, Ewerton; Duncan, Bruce; Stein, Caroline; Ong, Kanyin; Vos, Theo; Abbafati, Cristiana; Abbasi-Kangevari, Mohsen; Abdelmasseh, Michael; Abdoli, Amir; Abd-Rabu, Rami; Abolhassani, Hassan; Abu-Gharbieh, Eman; Accrombessi, Manfred; Adnani, Qorinah; Afzal, Muhammad; Agarwal, Gina; Agrawaal, Krishna; Agudelo-Botero, Marcela; Ahinkorah, Bright; Ahmad, Sajjad; Ahmad, Tauseef; Ahmadi, Keivan; Ahmadi, Sepideh; Ahmadi, Ali; Ahmed, Ali; Ahmed Salih, Yusra; Akande-Sholabi, Wuraola; Akram, Tayyaba; Al Hamad, Hanadi; Al-Aly, Ziyad; Rahman, Muhammad Aziz
- Date
- 2022
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/190486
- Identifier
- vital:17621
- Identifier
-
https://doi.org/10.1016/S2213-8587(21)00349-1
- Identifier
- ISSN:2213-8587 (ISSN)
- Abstract
- 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 (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0%. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Muhammad Aziz Rahman" is provided in this record**
- Publisher
- Elsevier Ltd
- Relation
- The Lancet Diabetes and Endocrinology Vol. 10, no. 3 (2022), p. 177-192
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- https://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © 2022 The Author(s)
- Rights
- Open Access
- Subject
- 3202 Clinical sciences; 3205 Medical biochemistry and metabolomics
- Full Text
- Reviewed
- Funder
- This study is funded by the Bill & Melinda Gates Foundation. S M Aljunid acknowledges the Department of Health Policy and Management, Faculty of Public Health, Kuwait University (Kuwait City, Kuwait), and the International Centre for Casemix and Clinical Coding, Faculty of Medicine, National University of Malaysia (Kuala Lumpur, Malaysia), for the approval and support to participate in this research project. T Astell-Burt was supported by a National Health and Medical Research Council (NHMRC; Australia) Boosting Dementia Research Leader Fellowship (1140317). D A Bennett is supported by the UK National Institute of Health Research (NIHR) Oxford Biomedical Research Centre. The views expressed are those of the authors and not necessarily those of the UK National Health Service (NHS), the NIHR, or the UK Department of Health and Social Care. B Duncan and M I Schmidt were supported in part by the Brazilian National Council for Scientific and Technological Development (research fellowship), and the Institute for Health Technology Assessment (465518/2014-1). E Cousin acknowledges the Coordination for Improvement of Higher Education Personnel (Brazil). X Feng was supported by an NHMRC Career Development Fellowship (1148792). E Fernandes and M Freitas acknowledge support from Fundação para a Ciência e Tecnologia/Ministério da Ciência, Tecnologia e Ensino Superior through national funds, and Programa Operacional Competitividade e Internacionalização (POCI-01-0145-FEDER-029241). V K Gupta and V B Gupta acknowledge funding support from the NHMRC (Australia). S Haque is grateful to the Jazan University (Jazan, Saudi Arabia), for providing the access to the Saudi Digital Library for this research study. B-F Hwang acknowledges partial support by China Medical University (Taichung, Taiwan; CMU109-MF-63). S M S Islam acknowledges funding from the National Heart Foundation of Australia and NHMRC Emerging Leadership Fellowship. M Jakovljevic acknowledges partial funding through grant OI175014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. O John is a recipient of the University International Postgraduate Award scholarship from the University of New South Wales (Sydney, NSW, Australia). M N Khan acknowledges the support of the Jatiya Kabi Kazi Nazrul Islam University (Mymensingh, Bangladesh). Y J Kim was supported by Research Management Centre, Xiamen University Malaysia (Sepang, Malaysia; XMUMRF/C6/ITCM-004). B Lacey acknowledges support from the UK Biobank, University of Oxford (Oxford, UK). G Lucchetti acknowledges support from the Brazilian National Council for Scientific and Technological Development through a Research Productivity Fellowship (level 1D). L G Mantovani acknowledges support from the Italian Ministry of Health Ricerca Corrente—IRCCS MultiMedica. M Molokhia is supported by the NIHR Biomedical Research Centre at Guy's and St Thomas' National Health Service Foundation Trust and King's College London (London, UK). O O Odukoya was supported by the Fogarty International Center of the NIH under award number K43TW010704. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. N Senthil Kumar acknowledges the Department of Biotechnology (New Delhi, India) for the Advanced State Biotech Hub. S Xu was supported by grants from National Natural Science Foundation of China (grant number 82070464) and Anhui Provincial Key Research and Development Program (grant number 202104j07020051). X Xu is supported by the Heart Foundation Post-doctoral Fellowship funded by the Heart Foundation of Australia, and Scientia Program at the University of New South Wales. S B Zaman received a scholarship from the Australian Government Research Training Program in support of his academic career. Editorial note: the Lancet Group takes a neutral position with respect to territorial claims in published maps and institutional affiliations.
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