Nontraditional Factors Influencing Cardiovascular Disease Risk: Correlation Among Framingham Risk Score, Body Composition Index, and Sleep-Breathing Monitoring Index

IF 3.1 3区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Cts-Clinical and Translational Science Pub Date : 2025-03-19 DOI:10.1111/cts.70170
Libo Zhao, Xin Xue, Yinghui Gao, Weimeng Cai, Zhe Zhao, Dong Rui, Tingyu Nie, Tianjiao Li, Cong Ma, Li Fan, Lin Liu
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Abstract

To examine the correlation among body composition, sleep-breathing indicators, and Framingham risk score (FRS) to identify and amplify nontraditional factors that influence the risk of CVD in males, A total of 195 male participants underwent examinations for body composition and sleep-breathing monitoring. We compared the differences in individual factors across various FRS groups. We further conducted multiple linear regression analysis. A cutoff value of FRS ≥ 14 was utilized, and potential influencing factors were examined by logistic regression analysis. Statistical differences were observed in the levels of fasting blood glucose (FBG), CO2, serum ferritin, hemoglobin (HB), and ECT/TBW among the FRS tripartite groups. However, no significant differences were found in AHI and MSpO2. The multiple linear regression analysis revealed positive correlations between ECW/TBW and FBG with FRS (β = 0.324 and 0.324, p < 0.001), while HB and muscle/fat mass exhibited negative correlations with the score (β = −0.185 and − 0.169, p < 0.01). These five factors—ECW/TBW, FBG, HB, serum ferritin, and muscle/fat mass—collectively accounted for 28.6% of the variation in FRS. A higher ECW/TBW was significantly associated with FRS ≥ 14 (OR = 2.208, 95% CI: 1.503–3.244). Conversely, reduced levels of muscle/fat mass, HB, and basal metabolic rate (BMR) were significantly linked to moderate-to-high CVD risk (ORratio = 0.532, 95% CI: 0.284–0.996; ORHB = 0.961, 95% CI: 0.932–0.991; ORBMR = 0.997, 95% CI: 0.995–1.000). This study revealed correlations among ECW/TBW, HB, FBG, and muscle-to-fat mass ratio with the risk of CVD predicted using FRSs.

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Cts-Clinical and Translational Science
Cts-Clinical and Translational Science 医学-医学:研究与实验
CiteScore
6.70
自引率
2.60%
发文量
234
审稿时长
6-12 weeks
期刊介绍: Clinical and Translational Science (CTS), an official journal of the American Society for Clinical Pharmacology and Therapeutics, highlights original translational medicine research that helps bridge laboratory discoveries with the diagnosis and treatment of human disease. Translational medicine is a multi-faceted discipline with a focus on translational therapeutics. In a broad sense, translational medicine bridges across the discovery, development, regulation, and utilization spectrum. Research may appear as Full Articles, Brief Reports, Commentaries, Phase Forwards (clinical trials), Reviews, or Tutorials. CTS also includes invited didactic content that covers the connections between clinical pharmacology and translational medicine. Best-in-class methodologies and best practices are also welcomed as Tutorials. These additional features provide context for research articles and facilitate understanding for a wide array of individuals interested in clinical and translational science. CTS welcomes high quality, scientifically sound, original manuscripts focused on clinical pharmacology and translational science, including animal, in vitro, in silico, and clinical studies supporting the breadth of drug discovery, development, regulation and clinical use of both traditional drugs and innovative modalities.
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