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Dataset Information

Spatial and temporal patterns of disease burden attributable to high BMI in Belt and Road Initiative countries, 1990-2019.


ABSTRACT:

Objective

This study aimed to analyse the spatial and temporal patterns of disease burden attributed to high BMI (DB-hBMI) from 1990 to 2019 in Belt and Road Initiative (BRI) countries, in light of increasing hBMI prevalence worldwide.

Design

The study was a secondary analysis of Global Burden of Disease 2019 (GBD 2019) that analysed (using Joinpoint regression analysis) numbers and the age-standardised rate of mortality and disability-adjusted life years (DALY) of hBMI-induced diseases and their trends from 1990 to 2019 and in the final decade.

Setting

GBD 2019 study data for BRI countries were categorised by country, age, gender and disease.

Participants

GBD 2019 data were used to analyse DB-hBMI in BRI countries.

Results

In 2019, China, India and Russ

SUBMITTER: Xu Y 

PROVIDER: S-EPMC11617424 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature