Evidence map›Paper›PMID 38835207›Full record

ArticlePublic health nutrition2024

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

Yaxin Xu, Qizhe Wang, Tao Yu, Yan Han, Wei Dai, Sunfang Jiang, Xiaopan Li

Abstract read
In one paragraph

Article in Public health nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yaxin Xu *Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.
Qizhe Wang *Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.
Tao YuSchool of Public Health, Fudan University, Shanghai, 200032, People's Republic of China.
Yan HanDepartment of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.
Wei DaiDepartment of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.
Sunfang JiangDepartment of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.
Xiaopan LiDepartment of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis 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.

designThe 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.

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

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

resultsIn 2019, China, India and Russia reported the highest mortality and DALY among BRI countries. From 1990 to 2019, the age-standardised DALY increased in Southeast Asia and South Asia, whereas many European countries saw declines. Notably, Bangladesh, Nepal and Vietnam showed the steepest increases, with average annual percentage change (AAPC) values of 4·42 %, 4·19 % and 4·28 %, respectively (all

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

Indexed as

Body Mass IndexDisability-Adjusted Life YearsGlobal Burden of DiseaseSpatio-Temporal AnalysisAdultAgedCost of IllnessFemaleGlobal HealthHumansMaleMiddle AgedObesityPrevalenceQuality-Adjusted Life YearsAverage annual percent changeBelt and Road Initiative countriesBurden of diseaseDisability-adjusted life yearsHigh BMITrend analysis

Identifiers

PMID38835207
PMCPMC11617424

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.