Evidence map›Paper›PMID 41351024›Full record

ArticleJournal of health, population, and nutrition2025

Associations of weight-adjusted waist index with cardiovascular chest pain risk in U.S. adults.

Zeru Chen, Yuqi Hu, Enhui Liu, Datao Zou, Ruixuan Li, Junxiong Liu, Yao Xiao

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Article in Journal of health, population, and nutrition, 2025. 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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5 · Who and what money

Authors and funding

7 authors.

Zeru Chen *School of Health Management, Guangzhou Medical University, Guangzhou, Guangdong, China.
Yuqi Hu *School of Health Management, Guangzhou Medical University, Guangzhou, Guangdong, China.
Enhui Liu *School of Health Management, Guangzhou Medical University, Guangzhou, Guangdong, China.
Datao ZouSchool of Health Management, Guangzhou Medical University, Guangzhou, Guangdong, China.
Ruixuan LiSchool of Health Management, Guangzhou Medical University, Guangzhou, Guangdong, China.
Junxiong LiuDepartment of Hospital Administration, Gaoming District People's Hospital, Foshan, Guangdong, China. 157936650@qq.com.
Yao XiaoSchool of Health Management, Guangzhou Medical University, Guangzhou, Guangdong, China. xiaoyao@gzhmu.edu.cn.

Funding

2024 Guangzhou Medical University Scientific Research Ability Enhancement Project Guangzhou Medical University deliver[2024] No.2024SRP223Characteristic New Think Tank of university in Guangdong Province: Guangdong-Hong Kong-Macao Greater Bay Area Medical and Health Industry High Quality Development Rule of Law Guarantee Research Center 2024TSZK016
6 · The paper itself

Abstract

backgroundAs an alternative to more conventional measures like waist circumference and BMI, the weight-adjusted waist index (WWI) is being thought of as a possibly more accurate way to assess the hazards associated with obesity. Nevertheless, the connection between it and chest pain, a significant symptom among adults, remains underexplored.

methodAnalyzed from the 2011–2018 NHANES, 13,391 persons aged 40 years and above made up this cross-sectional study. Waist circumference was divided by body weight squared to determine the WWI. WWI was evaluated for its correlation with self-reported chest pain using multivariable logistic regression models, while accounting for pertinent variables. Trend tests and generalized additive models (GAMs) explore linear and nonlinear relationships, with subgroup analyses evaluating consistency across populations.

resultsThe likelihood of chest pain was significantly higher in individuals with higher WWI. Specifically, for each one-unit increase in WWI, the likelihood of experiencing chest pain increased by 19% (95% CI: 1.07–1.31). Furthermore, individuals in the highest WWI quartile had a 31% higher chance of experiencing chest pain compared to those in the lowest quartile (95% CI: 1.04–1.65). When compared to traditional obesity metrics, WWI showed a stronger association with chest pain. The odds ratio for chest pain was 1.19 (95% CI: 1.07–1.31) for WWI, compared to 1.03 (95% CI: 1.00–1.03) for body mass index (BMI) and 1.01 (95% CI: 1.00–1.01) for waist circumference.

conclusionThere is a significant correlation between WWI and an increased likelihood of chest pain among American adults. Compared to traditional obesity metrics such as BMI and waist circumference, WWI offers a more reliable prediction of chest pain likelihood. These findings suggest that WWI could be integrated into clinical practice, allowing healthcare providers to more accurately identify individuals at elevated likelihood and implement targeted prevention and management strategies.

Indexed as

Cardiovascular DiseasesChest PainObesityWaist CircumferenceAdultAgedBody Mass IndexBody WeightCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsUnited StatesChest painCross-sectional studyGeneralized additive modelNHANES.Weight-adjusted waist index

Identifiers

PMID41351024
PMCPMC12781354

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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 OpenQuestion graph.