Evidence map›Paper›PMID 39513280›Full record

ArticleJournal of global health2024

Global burden and cross-country inequalities in diseases associated with high body mass index from 1990 to 2019: Result from the Global Burden of Disease Study 2019.

Ping Wang, Shu Huang, Ruiyu Wang, Xiaomin Shi, Huan Xu, Jieyu Peng, Qi Chen, Wei Zhang, Lei Shi, Xian Zhou and 1 more

Abstract read
In one paragraph

Article in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

16 citing papers in PubMed.

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  8. Trends and disparities in mortality due to hypertensive disease and coexisting obesity in the USA: 1999-2023.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ping Wang *Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, China.
Shu Huang *Department of Gastroenterology, Lianshui County People's Hospital, Huaian, China.
Ruiyu WangDepartment of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, China.
Xiaomin ShiDepartment of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, China.
Huan XuDepartment of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, China.
Jieyu PengDepartment of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, China.
Qi ChenDepartment of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, China.
Wei ZhangDepartment of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, China.
Lei ShiDepartment of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, China.
Xian ZhouDepartment of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, China.
Xiaowei TangDepartment of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High body mass index (BMI) has gradually become an increased risk factor for the global burden of diseases (GBD). As the disease burden and the number of elders globally increase, it is crucial for policymakers to realise the associations between high BMI and disease burden worldwide in a timely manner and to develop effective interventions for different countries and ages. Methods: We used the GBD 2019 database to analyse the deaths and disability-adjusted life-years (DALYs) in the disease burden associated with high BMI and indicated the health inequality at the global, regional, and national levels. We applied the slope index of inequality and concentration index, two standard metrics of absolute and relative gradient inequality recommended by the World Health Organization (WHO), to quantify the distributive inequalities in the burden of diseases associated with high BMI. These rates were reported per 100 000 population as crude incidence rates, death rates, and DALYs rates. All the estimates were generated with a 95% uncertainty interval (UIs). Results: Globally, we revealed that an estimated age-standardised mortality rate associated with high BMI is 6.26 million (95% UIs = 3.99, 8.91). The age-standardised DALYs rate is 19.32 million (95% UIs = 12.77, 26.40), and the global population attributable fraction was 9% (95% UIs = 5, 12) in 2019. The largest number of high-BMI-related deaths in women mainly concentrated in the age group of 65-79 years, whereas the largest number in men was in the age group of 60-69 years. The age-standardised DALYs rate of diseases associated with high BMI was larger in the high-middle and middle socio-demographic index (SDI) (population attributable fraction (PAF) = 11 and PAF = 9) regions than those with high SDI (PAF = 1) and low SDI (PAF = 5) regions. Conclusions: In this study, our results showed that the disease burden of global deaths and DALYs associated with high BMI has substantially increased between 1990-2019. Furthermore, we demonstrated that countries with higher SDI development levels shoulders higher burden of diseases associated with high BMI. Future policies to prevent and reduce the burden should be developed and implemented based on country-specific development status.

Indexed as

Body Mass IndexDisability-Adjusted Life YearsGlobal Burden of DiseaseGlobal HealthAdultAgedFemaleHealth Status DisparitiesHumansMaleMiddle AgedObesityRisk FactorsSocioeconomic Factors

Identifiers

PMID39513280
PMCPMC11544517

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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.