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Accepted manuscript

Spatial and Temporal Patterns of Disease Burden attributable to High Body Mass Index in Belt and Road Initiative Countries, 1990-2019

Published online by Cambridge University Press:  05 June 2024

Yaxin Xu
Affiliation:
Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, 200032, China Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
Qizhe Wang
Affiliation:
Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
Tao Yu
Affiliation:
School of Public Health, Fudan University, Shanghai, 200032, China
Yan Han
Affiliation:
Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
Wei Dai
Affiliation:
Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
Sunfang Jiang*
Affiliation:
Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, 200032, China Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
Xiaopan Li*
Affiliation:
Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
*
*Correspondence to: Xiao-Pan Li, Zhongshan Hospital, No. 180 Fenglin Rd., Xuhui, Shanghai 200032, China. E-mail: xiaopanli0224@126.com. Tel: +86-21-64038038; Sunfang Jiang, Zhongshan Hospital, No. 180 Fenglin Rd., Xuhui, Shanghai 200032, China. E-mail: jiang.sunfang@zs-hospital.sh.cn. Tel: +86-13817597264;
*Correspondence to: Xiao-Pan Li, Zhongshan Hospital, No. 180 Fenglin Rd., Xuhui, Shanghai 200032, China. E-mail: xiaopanli0224@126.com. Tel: +86-21-64038038; Sunfang Jiang, Zhongshan Hospital, No. 180 Fenglin Rd., Xuhui, Shanghai 200032, China. E-mail: jiang.sunfang@zs-hospital.sh.cn. Tel: +86-13817597264;
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Abstract

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Objective:

This study aimed to analyze the spatial and temporal patterns of disease burden attributed to high body mass index (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 analyzed (using Joinpoint regression analysis) numbers and the age-standardized rate of mortality and disability-adjusted life years (DALYs) 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 categorized by country, age, gender, and disease.

Participants:

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

Results:

In 2019, China, India, and Russia reported the highest mortality and DALYs among BRI countries. From 1990 to 2019, the age-standardized DALYs increased in Southeast Asia and South Asia, whereas many European countries saw declines. Notably, Bangladesh, Nepal, and Vietnam showed the steepest increases, with AAPC values of 4.42%, 4.19%, and 4.28%, respectively (all P<0.05). In contrast, Israel, Slovenia, and Poland experienced significant reductions, with APCC values of -1.70%, -1.63%, and -1.58%, respectively (all P<0.05). The most rapid increases among males were seen in Vietnam, Nepal, and Bangladesh, while Jordan, Poland, and Slovenia recorded the fastest declines among females. Across most BRI countries, the burden of diabetes and kidney diseases related to hBMI showed a significant uptrend.

Conclusion:

DB-hBMI varies significantly by region, age, gender, and disease type across BRI countries. It can pose a substantial threat to public health.

Type
Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Authors 2024

Footnotes

These authors have contributed equally to this work