Evidence map›Paper›PMID 42959133›Full record

ArticleFrontiers in public health2026

A cross-sectional study on anthropometric indices and hypertension in Chinese adults: comparison of discriminatory power and age-stratified analysis.

Shiqin Lu, Nan Chen, Zhuosong Li, Yuanmei Zhang, Wenping Wang, Guo Li, Jinglan Hao, Rui Wang, Yanmei Qi, Zhengyu Qin

Abstract readComparative Study
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Shiqin Lu *Health Management Center, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Nan Chen *Department of Endocrinology, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Zhuosong LiHealth Management Center, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Yuanmei ZhangSchool of Basic Medical Science, Kunming University of Science and Technology, Kunming, Yunnan, China.
Wenping WangPopulation-wide Health Management Center of Yongren County, Chuxiong, Yunnan, China.
Guo LiHealth Management Center, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Jinglan HaoHealth Management Center, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Rui WangHealth Management Center, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Yanmei QiDepartment of Endocrinology, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Zhengyu QinHealth Management Center, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertension imposes a heavy public health burden in China. Simple anthropometric indicators help screen hypertension risk, yet the optimal index differs by age. This study compares five adiposity indices including WC, BMI, WHtR, ABSI, and BRI and their age-specific discriminatory ability among Chinese adults. Materials and methods: In this cross-sectional analysis of 104,248 adults from a health check-up cohort in Southwest China, hypertension was defined as blood pressure ≥140/90 mmHg, a self-reported diagnosis, or current antihypertensive medication use. Multivariable logistic and linear regression models were employed to examine the associations between a one-standard-deviation increase in the Z-score of each index and hypertension prevalence or blood pressure levels. Discriminatory power was compared using the area under the receiver operating characteristic curve (AUC) overall and within age groups. Results: Per standard deviation increase, WC, BMI, WHtR, ABSI, and BRI were associated with a 61% (OR 1.61, 95% CI: 1.58-1.64), 61% (1.61, 1.58-1.64), 60% (1.60, 1.57-1.63), 9% (1.09, 1.07-1.11), and 56% (1.56, 1.54-1.59) higher hypertension risk, respectively. WHtR and BRI showed the highest and identical AUC (both 0.676), followed by WC (0.653). ABSI had the lowest AUC (0.612). Discriminatory ability was strongest in adults aged 18-35 years, with WC performing best (AUC = 0.763). The associations for all indices significantly weakened with age ( Conclusions: WHtR and BRI demonstrated the strongest overall associations with hypertension, whereas WC was the best indicator in young adults. The performance of anthropometric indices varied by age, suggesting that age-specific considerations may enhance their utility for preliminary hypertension risk screening in practice.

Indexed as

AnthropometryHypertensionAdultAgedAge FactorsBody Mass IndexChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsWaist CircumferenceABSIBMIBRIWCWHtR

Identifiers

PMID42959133
PMCPMC13716726

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