Trends and predictions of malnutrition and obesity in 204 countries and territories: an analysis of the Global Burden of Disease Study 2019.

Collapse authors list.
Chong, Bryan ORCID: 0000-0002-3565-7657, Jayabaskaran, Jayanth, Kong, Gwyneth, Chan, Yiong Huak, Chin, Yip Han, Goh, Rachel, Kannan, Shankar, Ng, Cheng Han, Loong, Shaun ORCID: 0000-0002-2846-9092, Kueh, Martin Tze Wah ORCID: 0000-0002-7473-343X et al (show 17 more authors) , Lin, Chaoxing, Anand, Vickram Vijay, Lee, Ethan Cheng Zhe, Chew, HS Jocelyn, Tan, Darren Jun Hao, Chan, Kai En, Wang, Jiong-Wei ORCID: 0000-0001-7986-6082, Muthiah, Mark, Dimitriadis, Georgios K, Hausenloy, Derek J, Mehta, Anurag J, Foo, Roger, Lip, Gregory ORCID: 0000-0002-7566-1626, Chan, Mark Y, Mamas, Mamas A, le Roux, Carel W and Chew, Nicholas WS (2023) Trends and predictions of malnutrition and obesity in 204 countries and territories: an analysis of the Global Burden of Disease Study 2019. EClinicalMedicine, 57. 101850-.

PDF Trends and predictions of malnutrition and obesity in 204 countries and territories an analysis of the Global Burden of Dise.pdf - Open Access published version Download (2MB) | Preview

Abstract

<h4>Background</h4>Malnutrition and obesity are interdependent pathologies along the same spectrum. We examined global trends and projections of disability-adjusted life years (DALYs) and deaths from malnutrition and obesity until 2030.<h4>Methods</h4>Using data from the 2019 Global Burden of Disease study involving 204 countries and territories, trends in DALYs and deaths were described for obesity and malnutrition from 2000 to 2019, stratified by geographical regions (as defined by WHO) and Socio-Demographic Index (SDI). Malnutrition was defined according to the 10th revision of International Classification of Diseases codes for nutritional deficiencies, stratified by malnutrition type. Obesity was measured via body mass index (BMI) using metrics related to national and subnational estimates, defined as BMI ≥25 kg/m². Countries were stratified into low, low-middle, middle, high-middle, and high SDI bands. Regression models were constructed to predict DALYs and mortality up to 2030. Association between age-standardised prevalence of the diseases and mortality was also assessed.<h4>Findings</h4>In 2019, age-standardised malnutrition-related DALYs was 680 (95% UI: 507-895) per 100,000 population. DALY rates decreased from 2000 to 2019 (-2.86% annually), projected to fall 8.4% from 2020 to 2030. Africa and low SDI countries observed highest malnutrition-related DALYs. Age-standardised obesity-related DALY estimates were 1933 (95% UI: 1277-2640). Obesity-related DALYs rose 0.48% annually from 2000 to 2019, predicted to increase by 39.8% from 2020 to 2030. Highest obesity-related DALYs were in Eastern Mediterranean and middle SDI countries.<h4>Interpretation</h4>The ever-increasing obesity burden, on the backdrop of curbing the malnutrition burden, is predicted to rise further.<h4>Funding</h4>None.

Item Type:	Article
Uncontrolled Keywords:	Disability-adjusted life years, Global burden, Malnutrition, Mortality, Obesity
Divisions:	Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Life Courses and Medical Sciences
Depositing User:	Symplectic Admin
Date Deposited:	18 May 2023 15:52
Last Modified:	18 May 2023 15:52
DOI:	10.1016/j.eclinm.2023.101850
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3170521