Evidence map›Paper›PMID 40864980›Full record

ArticleJMIR public health and surveillance2025

Gender-Specific Moderating Role of Physical Fitness and Cardiovascular Risk Factors in the Relationship Between BMI and C-Reactive Protein: Cross-Sectional Study.

Chunyuan Lai, Yunqing Liu, Yue Yan, Boli Cheng, Yakun Liu, Fanshu Yu, Chengyuan Hu, Liqiang Su, Fanghui Li

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 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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0citing papers in PubMed
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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

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Chunyuan LaiSchool of Physical Education, Jiangxi Normal University, Nanchang, China.ORCID 0009-0002-2886-8517
Yunqing Liu *Changzhou Sports Hospital, Affiliated Sports Hospital of Nanjing Normal University, Changzhou, China.ORCID 0009-0002-8220-6434
Yue Yan *School of Sport Sciences, Nanjing Normal University, Xianlin Campus, Xianlin Street, Qixia District, Nanjing, Jiangsu Province, 210023, China, 86 18262609418.ORCID 0009-0003-1755-021X
Boli ChengSchool of Sport Sciences, Nanjing Normal University, Xianlin Campus, Xianlin Street, Qixia District, Nanjing, Jiangsu Province, 210023, China, 86 18262609418.ORCID 0009-0008-0305-9290
Yakun LiuSchool of Sport Sciences, Nanjing Normal University, Xianlin Campus, Xianlin Street, Qixia District, Nanjing, Jiangsu Province, 210023, China, 86 18262609418.ORCID 0009-0008-5553-1518
Fanshu YuSchool of Sport Sciences, Nanjing Normal University, Xianlin Campus, Xianlin Street, Qixia District, Nanjing, Jiangsu Province, 210023, China, 86 18262609418.ORCID 0009-0008-0654-1664
Chengyuan HuSchool of Physical Education, Jiangxi Normal University, Nanchang, China.ORCID 0009-0001-4855-7882
Liqiang Su *School of Physical Education, Jiangxi Normal University, Nanchang, China.ORCID 0000-0002-3460-780X
Fanghui Li *School of Sport Sciences, Nanjing Normal University, Xianlin Campus, Xianlin Street, Qixia District, Nanjing, Jiangsu Province, 210023, China, 86 18262609418.ORCID 0000-0002-6612-7608

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Physical fitness and cardiovascular risk factors may affect C-reactive protein (CRP) levels by influencing BMI. However, the extent to which these factors influence CRP through BMI remains unclear. Objective: This study aims to explore how indicators related to physical fitness and cardiovascular risk factors affect the relationship between BMI and CRP levels. Methods: This study selected 453 participants from 518 individuals at a sports hospital in Jiangsu Province, including 231 (51%) males and 222 (49%) females. Using interaction effect analyses, CRP served as the dependent variable and BMI as the independent variable. Physical fitness and cardiovascular risk factors (body morphology, blood pressure, blood lipids, and blood glucose) were categorized into quartiles from the lowest (Q1) to the highest (Q4) and treated as effect modifiers for interaction effect analyses. Sex-specific analyses were conducted to explore the influence of BMI on CRP across different genders, based on physical fitness and cardiovascular risk factor-related indicators. Results: BMI was positively associated with CRP (β=0.203, 95% CI 0.163-0.243; P<.001). After adjusting for confounding factors, this association remained significant (β=0.206, 95% CI 0.164-0.248; P<.001). In the stratified gender analysis, interaction effect analyses showed that in females, waist circumference (median 110.5, IQR 93-128; β=0.342, 95% CI 0.232-0.452; P<.001), hip circumference (median 120, IQR 104-136; β=0.361, 95% CI 0.260-0.462; P<.001), waist-hip ratio (median 1.08, IQR 0.9-1.25; β=0.291, 95% CI 0.204-0.378; P<.001), diastolic blood pressure (median 101, IQR 85-117; β=0.344, 95% CI 0.252-0.436; P<.001), triglycerides (median 1.41, IQR 1.13-1.68; β=0.313, 95% CI 0.216-0.409; P<.001), triglyceride-rich lipoprotein cholesterol (median 0.64, IQR 0.51-0.76; β=0.365, 95% CI 0.249-0.481; P<.001), 20-49 years one-leg standing time with closed eyes (median 3, IQR 1-5; β=0.371, 95% CI 0.276-0.466; P<.001), and 20-49 years grip strength (median 6.5, IQR 6-7; β=0.369, 95% CI 0.270-0.467; P<.001) significantly influenced the effect of BMI on CRP. In males, etotal cholesterol, glucose, one-leg standing time with closed eyes, sit-and-reach, and grip strength demonstrated trends in the effect of BMI on CRP (P>.05). Conclusions: This study demonstrates a positive correlation between BMI and CRP with gender-specific characteristics. In females, multiple body morphology, physiological, and physical fitness indicators significantly influence the effect of BMI on CRP, while some indicators in males also exhibit trends. These findings suggest the necessity of developing health management strategies tailored to different genders, particularly for female populations. Such strategies should consider body morphology indicators such as waist circumference and hip circumference, physiological indicators including blood pressure and blood lipids, and physical fitness metrics such as one-leg standing time with closed eyes. This comprehensive approach can better regulate the impact of BMI on CRP and promote overall health.

Indexed as

Body Mass IndexCardiovascular DiseasesC-Reactive ProteinHeart Disease Risk FactorsPhysical FitnessAdultChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsSex FactorsC-Reactive ProteinBMIC-reactive proteingender differencesphysical fitnessprevention of cardiovascular diseases

Identifiers

PMID40864980
PMCPMC12385609

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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.