{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T09:21:44Z","timestamp":1771233704885,"version":"3.50.1"},"reference-count":50,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T00:00:00Z","timestamp":1742342400000},"content-version":"vor","delay-in-days":18,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["ascpt.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Translational Sci"],"published-print":{"date-parts":[[2025,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:p>To examine the correlation among body composition, sleep\u2010breathing 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\u2010breathing monitoring. We compared the differences in individual factors across various FRS groups. We further conducted multiple linear regression analysis. A cutoff value of FRS \u2265\u200914 was utilized, and potential influencing factors were examined by logistic regression analysis. Statistical differences were observed in the levels of fasting blood glucose (FBG), CO<jats:sub>2<\/jats:sub>, serum ferritin, hemoglobin (HB), and ECT\/TBW among the FRS tripartite groups. However, no significant differences were found in AHI and MSpO<jats:sub>2<\/jats:sub>. The multiple linear regression analysis revealed positive correlations between ECW\/TBW and FBG with FRS (<jats:italic>\u03b2<\/jats:italic>\u2009=\u20090.324 and 0.324, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001), while HB and muscle\/fat mass exhibited negative correlations with the score (<jats:italic>\u03b2<\/jats:italic>\u2009=\u2009\u22120.185 and\u2009\u2212\u20090.169, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01). These five factors\u2014ECW\/TBW, FBG, HB, serum ferritin, and muscle\/fat mass\u2014collectively accounted for 28.6% of the variation in FRS. A higher ECW\/TBW was significantly associated with FRS \u2265\u200914 (OR\u2009=\u20092.208, 95% CI: 1.503\u20133.244). Conversely, reduced levels of muscle\/fat mass, HB, and basal metabolic rate (BMR) were significantly linked to moderate\u2010to\u2010high CVD risk (OR<jats:sub>ratio<\/jats:sub>\u2009=\u20090.532, 95% CI: 0.284\u20130.996; OR<jats:sub>HB<\/jats:sub>\u2009=\u20090.961, 95% CI: 0.932\u20130.991; OR<jats:sub>BMR<\/jats:sub>\u2009=\u20090.997, 95% CI: 0.995\u20131.000). This study revealed correlations among ECW\/TBW, HB, FBG, and muscle\u2010to\u2010fat mass ratio with the risk of CVD predicted using FRSs.<\/jats:p>","DOI":"10.1111\/cts.70170","type":"journal-article","created":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T12:18:37Z","timestamp":1742386717000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Nontraditional Factors Influencing Cardiovascular Disease Risk: Correlation Among Framingham Risk Score, Body Composition Index, and Sleep\u2010Breathing Monitoring Index"],"prefix":"10.1111","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2459-1995","authenticated-orcid":false,"given":"Libo","family":"Zhao","sequence":"first","affiliation":[{"name":"Cardiology Department of the Second Medical Center &amp; National Clinical Research Center for Geriatric Diseases Chinese PLA General Hospital  Beijing 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