Evidence map›Paper›PMID 39141628›Full record

ArticlePloS one2024

Comparison of cardiovascular disease risk association with metabolic unhealthy obesity identified by body fat percentage and body mass index: Results from the 1999-2020 National Health and Nutrition Examination Survey.

Qian Xiong, Yang Zhang, Jun Li, Yaping An, Shan Yu

Abstract readComparative Study
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing 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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qian XiongDepartment of Cardiology, Guizhou Provincial People's Hospital, Guiyang, China.ORCID 0009-0007-0651-9793
Yang ZhangDepartment of Cardiology, Guizhou Provincial People's Hospital, Guiyang, China.
Jun LiDepartment of Cardiology, Guizhou Provincial People's Hospital, Guiyang, China.
Yaping AnDepartment of Cardiology, Guizhou Provincial People's Hospital, Guiyang, China.
Shan YuDepartment of Cardiology, Guizhou Provincial People's Hospital, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimCardiovascular disease (CVD) risk among individuals across different categories of metabolic obesity phenotypes is controversial. The study used body fat percentage (BFP) or body mass index (BMI) to categorize obese status and to investigate the association between metabolic obesity phenotypes and CVD risk in a nationally representative population.

methodsThis cross-sectional study included 49463 adult participants in National Health and Nutrition Examination Survey from 1999 to 2020. Metabolic healthy status was defined by the absence of metabolic syndrome according to the revised National Cholesterol Education Program Adult Treatment Group definition. Obesity was identified by BFP, assessed by dual-energy X-ray absorptiometry scan, and BMI. The primary outcome was CVD prevalence. The multivariable logistic regression model and restricted cubic spline analyses were used to examine the associations between metabolic obesity phenotypes and the risk of CVD.

resultsAmong 49463 adult participants, 32.12% were metabolically unhealthy, 34.10% were overweight, 37.94% were obese; and 8.41% had CVD. Compared with metabolic healthy normal weight, metabolic healthy obesity, and metabolic unhealthy normal weight/overweight/obesity were all associated with increased CVD risk with adjusted odds ratios (95% confidence intervals) of 1.45 (1.14-1.85), 2.80(1.53-5.11), 2.55(1.88-3.47), and 2.96(2.18-4.02), respectively. Nonlinear dose-response relationships between BFP and CVD were observed both in metabolically healthy and unhealthy participants (both P for non-linearity<0.0001). When obesity was defined with BMI, there were a similar prevalence of obesity, and similar associations between metabolic obesity phenotypes and CKD risks.

conclusionsMetabolic healthy and unhealthy obesity were both associated with higher risks of CVD, whether using BFP or BMI to define obese status. It suggests that metabolic obesity phenotype is a risk factor for CVD.

Indexed as

Body Mass IndexCardiovascular DiseasesMetabolic SyndromeNutrition SurveysObesityAdipose TissueAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk Factors

Identifiers

PMID39141628
PMCPMC11324142

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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.