Evidence map›Paper›PMID 40750909›Full record

ArticleJournal of health, population, and nutrition2025

Metabolic health and cardiovascular disease across BMI categories: NHANES findings.

Dingyuan Tu, Ping Li, Kaiyuan Li

Abstract read
In one paragraph

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dingyuan Tu *Department of Cardiology, The 961st Hospital of the Joint Logistics Support Force of The Chinese People's Liberation Army, Qiqihar, 161000, China. tdy173760529@163.com.
Ping Li *Department of Cardiology, The 961st Hospital of the Joint Logistics Support Force of The Chinese People's Liberation Army, Qiqihar, 161000, China.
Kaiyuan LiDepartment of Emergency and Critical Care Medicine, The 961st Hospital of the Joint Logistics Support Force of The Chinese People's Liberation Army, Qiqihar, 161000, China. zlky16@163.com.

Funding

the Science and technology plan of Heilongjiang Health Committee 20231010000473
6 · The paper itself

Abstract

backgroundA novel, comprehensive definition of metabolic health, incorporating systolic blood pressure < 130 mmHg without antihypertensive medication, sex-specific waist-to-hip ratio thresholds (< 0.95 for women and < 1.03 for men), and no prevalent diabetes, has recently been proposed for mortality risk stratification. We aimed to explore its association with cardiovascular disease (CVD) across body mass index (BMI) categories among U.S. adults.

methodsThis cross-sectional study included 11,499 U.S. adults from the National Health and Nutrition Examination Survey 2017-August 2023. Metabolic health was defined by the above criteria. BMI categories were normal weight (BMI < 25 kg/m2), overweight (25–30 kg/m2), and obesity (≥ 30 kg/m2). The association between metabolic health and CVD was assessed using a multivariable weighted logistic regression model.

resultsAmong the 11,499 individuals, 10,383 were categorized into non-CVD while 1,116 were categorized into CVD. Compared to metabolically healthy individuals, the adjusted odds ratio (OR) for CVD among metabolically unhealthy status was 2.07 (95% confidence interval [CI]: 1.60–2.67, P < 0.001). Stratified by BMI, metabolically unhealthy status was associated with higher odds of prevalent CVD in overweight (OR: 2.89, 95% CI: 1.75–4.78, P < 0.001) and obese (OR: 2.38, 95% CI: 1.59–3.58, P < 0.001) individuals, but not in normal weight individuals (OR:1.07, 95% CI: 0.64–1.80, P = 0.74).

conclusionsIn this U.S. population-based study, metabolically unhealthy status correlates with high CVD risk among overweight and obese individuals, but not in normal weight individuals. Our findings support targeted metabolic health interventions for CVD prevention in overweight and obese groups within the U.S. context.

Indexed as

Body Mass IndexCardiovascular DiseasesObesityAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysOverweightUnited StatesBody mass indexCardiovascular diseaseMetabolic healthNational health and nutrition examination survey

Identifiers

PMID40750909
PMCPMC12317518

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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.