Evidence map›Paper›PMID 41398253›Full record

ArticleBMC public health2025

Association analysis of obesity and hypertension and research on ethnic heterogeneity: a cross-sectional study based on different populations in Northwest China.

Zhaohang Li, Jingjing Wang, Yujie Yuan, Rui Liu, Caixia Xi, Yonglan Li

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Article in BMC public health, 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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1citing 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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhaohang LiCollege of Life Science and Technology, Inner Mongolia Normal University, Hohhot, China.
Jingjing WangCollege of Life Science and Technology, Inner Mongolia Normal University, Hohhot, China.
Yujie YuanCollege of Life Science and Technology, Inner Mongolia Normal University, Hohhot, China.
Rui LiuCollege of Life Science and Technology, Inner Mongolia Normal University, Hohhot, China.
Caixia XiCollege of Life Science and Technology, Inner Mongolia Normal University, Hohhot, China.
Yonglan LiCollege of Life Science and Technology, Inner Mongolia Normal University, Hohhot, China. liyonglan2005@126.com.

Funding

National Natural Science Foundation of China 32460217
6 · The paper itself

Abstract

backgroundHypertension is a major global health issue with increasing prevalence, particularly in China. It is closely linked to obesity, which is a key risk factor for hypertension through mechanisms such as insulin resistance and inflammation. However, research on the relationship between obesity and hypertension in Northwestern China, particularly among diverse ethnic populations, remains limited.

methodsA cross-sectional study involving 6,186 adults from 10 ethnic groups was conducted between 2018 and 2023 in Gansu, Qinghai, and Inner Mongolia. Anthropometric data, including BMI, WC, BFP, and VFL, were collected. Hypertension was diagnosed on the basis of blood pressure measurements or prior diagnosis. Poisson regression and logistic regression models were used to analyse associations between obesity and hypertension, accounting for ethnic and demographic factors.

resultsStatistically significant differences in obesity-related indicators were observed among ethnic groups. The composite obesity group presented the highest hypertension prevalence (65.5%), followed by the central obesity group (60.8%), generalized obesity group (43.2%), and non-obese group (35.5%). All obesity-related indicators (BMI, WC, VFL, and BFP) were positively associated with the odds of hypertension, with BFP demonstrating the strongest effect. RCS analysis revealed a linear association of WC and BFP with hypertension and a nonlinear association of BMI and VFL with hypertension.

conclusionsIn conclusion, our study demonstrates that composite obesity is a more effective indicator for hypertension than other phenotypes. The significant ethnic variations observed underscore the necessity of incorporating ethnic heterogeneity into future prevention strategies and screening protocols, utilizing indicators such as BMI, WC, VFL, and BFP.

Indexed as

EthnicityHypertensionObesityAdultChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsEthnic heterogeneityHealth disparitiesHealth equityHypertensionObesity

Identifiers

PMID41398253
PMCPMC12821174

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