Evidence mapPaperPMID 40119367Full record

ArticleBMC public health2025

Exploring the nonlinear association between cardiometabolic index and hypertension in U.S. Adults: an NHANES-based study.

Huatao Zhou, Yu Mao, Muyao Ye, Zhongkun Zuo

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

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

6 citing papers in PubMed.

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4 · The record

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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

4 authors.

Huatao Zhou *Department of Cardiovascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Yu Mao *Department of Thyroid Surgery, The Second Xiangya Hospital, Central South University, Hunan Province, No. 139Renmin East Road, Changsha, 410011, People's Republic of China.
Muyao YeDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Zhongkun ZuoDepartment of Thyroid Surgery, The Second Xiangya Hospital, Central South University, Hunan Province, No. 139Renmin East Road, Changsha, 410011, People's Republic of China. arthasreal@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension is a prevalent chronic disease affecting over 1.2 billion people worldwide, representing a major modifiable risk factor for cardiovascular diseases. The Waist-to-Height Ratio (WHtR) and Triglyceride to High-Density Lipoprotein Cholesterol (TG/HDL-C) ratio are established metabolic indicators linked to the risk of cardiovascular and metabolic diseases. Recently, a Cardiometabolic Index (CMI), combining WHtR and TG/HDL-C ratios, has been proposed to provide a comprehensive assessment of metabolic health. This study investigates the association between CMI and hypertension using data from the National Health and Nutrition Examination Survey (NHANES).

methodsThe study utilized NHANES data from nine cycles spanning 2001 to 2018, encompassing 20,049 participants aged over 20. Exclusions were made for individuals with incomplete CMI or hypertension data, and pregnant women. CMI was calculated by multiplying the WHtR by the TG/HDL-C ratio. Hypertension was defined according to American Heart Association guidelines. The relationship between CMI and hypertension was evaluated using multivariate logistic regression analyses, with additional subgroup analyses conducted based on demographic factors. Nonlinear relationships were analyzed using smoothing curve fitting techniques.

resultsThe study identified a significant positive correlation between CMI and hypertension risk, with an increase of one unit in CMI associated with a 9% heightened risk of hypertension (OR: 1.09, 95% CI: 1.05, 1.13). The association remained significant across various demographic subgroups. A nonlinear relationship was observed, with a critical CMI threshold of 2.64. Below this threshold, higher CMI values were associated with a progressively higher prevalence of hypertension, whereas beyond this threshold, further increases in CMI did not significantly correlate with an elevated risk of hypertension.

conclusionThe study demonstrates that CMI is significantly associated with hypertension risk and may serve as a valuable tool for early screening and risk assessment, particularly in identifying individuals at higher risk before reaching the critical CMI threshold. These results underscore the importance of addressing metabolic health in the prevention and management of hypertension. Future research should focus on longitudinal studies to establish causality, explore the clinical utility of CMI in hypertension screening, and examine its applicability in diverse populations.

Indexed as

Cardiometabolic Risk FactorsHypertensionWaist-Height RatioAdultAgedCholesterol, HDLCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysTriglyceridesUnited StatesYoung AdultCholesterol, HDLTriglyceridesCardiometabolic IndexHypertensionMetabolic healthTriglyceride to High-Density Lipoprotein Cholesterol (TG/HDL-C) ratioWaist-to-Height Ratio

Identifiers

PMID40119367
PMCPMC11929247

What Socratic holds

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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 Socratic graph.