Evidence map›Paper›PMID 37658325›Full record

ArticleBMC cardiovascular disorders2023

Association between weight-adjusted-waist index and risk of cardiovascular diseases in United States adults: a cross-sectional study.

Haiyang Fang, Feng Xie, Kai Li, Meng Li, Yanqing Wu

Abstract read
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Article in BMC cardiovascular disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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60citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Haiyang Fang *Department of Cardiovascular Medicine, Nanchang University Second Affiliated Hospital, No.1 Minde Road, 330006, Nanchang, Jiangxi, P.R. of China.
Feng Xie *Department of Cardiovascular Medicine, Nanchang University Second Affiliated Hospital, No.1 Minde Road, 330006, Nanchang, Jiangxi, P.R. of China.
Kai LiDepartment of Cardiovascular Medicine, Nanchang University Second Affiliated Hospital, No.1 Minde Road, 330006, Nanchang, Jiangxi, P.R. of China.
Meng LiDepartment of Cardiovascular Medicine, Nanchang University Second Affiliated Hospital, No.1 Minde Road, 330006, Nanchang, Jiangxi, P.R. of China.
Yanqing WuDepartment of Cardiovascular Medicine, Nanchang University Second Affiliated Hospital, No.1 Minde Road, 330006, Nanchang, Jiangxi, P.R. of China. wuyanqing01@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs a new obesity-related index, the weight-adjusted-waist index (WWI) appears to be a good predictor of cardiovascular disease (CVD) in East Asian populations. This study aimed to validate the association between WWI and CVD in United States (US) adults and also evaluate its relationships with the prevalence of specific CVDs.

methodsThe data were obtained from the 2009-2016 National Health and Nutrition Examination Survey. WWI was calculated as waist circumference divided by the square root of weight, and CVD was ascertained based on self-reported physician diagnoses. Multivariable logistic regression models and subgroup analyses were performed to evaluate the association between WWI and CVD.

resultsA total of 21,040 participants were included. There was a positive linear relationship between WWI and the odds of CVD (P = 0.310). After adjusting for all covariates, each unit of increased WWI was associated with 48% increased risk of CVD (odds ratio [OR]: 1.48, 95% confidence interval [CI]: 1.25-1.74). Moreover, compared with the lowest quintile (< 10.3 cm/√kg), the multivariable-adjusted OR was 3.18 (95% CI: 1.80-5.59) in the highest quintile (≥ 11.8 cm/√kg). Besides, positive associations were also found between WWI and increased prevalence of congestive heart failure (OR: 1.47, 95% CI: 1.11-1.96), coronary heart disease (OR: 1.27, 95% CI: 1.01-1.60), angina (OR: 1.44, 95% CI: 1.06-1.96), heart attack (OR: 1.66, 95% CI: 1.29-2.12), and stroke (OR: 1.32, 95% CI: 1.02-1.70). Subgroup analyses showed that stronger associations between WWI and CVD were detected in participants younger than 50 years of age (P < 0.001).

conclusionsHigh levels of WWI were significantly associated with an increased risk of CVD in US adults, particularly in people under 50 years of age. These findings indicate that WWI may be an intervention indicator to reduce the risk of CVD in the general adult population.

Indexed as

Cardiovascular DiseasesHeart FailureMyocardial InfarctionAdultCross-Sectional StudiesHumansNutrition SurveysCardiovascular diseaseNHANESObesityWeight-adjusted-waist index

Identifiers

PMID37658325
PMCPMC10474739

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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.