Evidence map›Paper›PMID 40369828›Full record

ArticleThe International journal of health planning and management2025

Global Burden of Disease Due to High Body Mass Index and Projections to 2040: A Study Based on the Global Burden of Disease Study 2019.

Eun-Ji Kim, Yoonseo Park, Sewon Park, Mihajlo Jakovljevic, Munjae Lee

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Article in The International journal of health planning and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Eun-Ji KimDepartment of Convergence Healthcare Medicine, Ajou University, Suwon, Republic of Korea.ORCID https://orcid.org/0009-0007-6412-5397
Yoonseo ParkDepartment of Convergence Healthcare Medicine, Ajou University, Suwon, Republic of Korea.ORCID https://orcid.org/0000-0002-1038-9836
Sewon ParkDepartment of Medicine, Ajou University School of Medicine, Suwon, Republic of Korea.ORCID https://orcid.org/0000-0002-2661-7020
Mihajlo JakovljevicUNESCO-The World Academy of Sciences (TWAS), Trieste, Italy.ORCID https://orcid.org/0000-0002-9160-6846
Munjae LeeDepartment of Medical Science, Ajou University School of Medicine, Suwon-si, Republic of Korea.ORCID https://orcid.org/0000-0002-9781-4187

Funding

Bio-convergence Technology Education Program through the Korea Institute for Advancement Technology (KIAT) funded by the Ministry of Trade, Industry and Energy P0017805Ministry of Education of the Republic of Korea and National Research Foundation of Korea NRF-2023S1A3A2A05095298
6 · The paper itself

Abstract

backgroundThe prevalence of high body mass index (BMI) contributes to an increased risk of various diseases. This study aimed to identify global disease burden trends associated with high BMI from 1990 to 2019 and forecasts up to 2040.

methodsUsing data from the global burden of disease (GBD) 2019 study, we analysed the number and ratio of disability-adjusted life years (DALYs) related to high BMI. The data were analysed by sex, ages, socio-demographic index (SDI), world health organization (WHO) region, and disease level. The autoregressive integrated moving average (ARIMA) model was employed to predict high BMI-related disease burden up to 2040.

resultsIn 2019, the global burden of disease due to high BMI was 1932.54 (95% uncertainty interval [UI]: 1276.61, 2639.74), representing an increase of 0.18 (95% UI: 0.02, 0.42). Disease burden was consistently higher in males, middle-aged and older populations, particularly noting a narrowing gap between those aged 50-69 years and≥ 70 years in the forecast results until 2040. Additionally, regions with a middle SDI and the North Africa and Middle East WHO super-regions exhibited the highest disease burdens. Also, Cardiovascular disease ranked highest among diseases.

conclusionThe rising disease burden associated with high BMI highlights the need for targeted health policies focussing on older populations, low and middle-income countries, and major conditions like cardiovascular disease and diabetes. Addressing these trends requires an integrated, equity-focused approach to health planning and management to mitigate global impacts.

Indexed as

Body Mass IndexGlobal Burden of DiseaseObesityAdolescentAdultAgedDisability-Adjusted Life YearsFemaleForecastingGlobal HealthHumansMaleMiddle AgedQuality-Adjusted Life YearsYoung Adultdisability‐adjusted life yearsglobal burden of disease studyhigh body mass indexobesitypredcition

Identifiers

PMID40369828
PMCPMC12411693

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.