影响心血管疾病风险的非传统因素:Framingham风险评分、身体成分指数和睡眠-呼吸监测指数的相关性

IF 3.1 3区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
Libo Zhao, Xin Xue, Yinghui Gao, Weimeng Cai, Zhe Zhao, Dong Rui, Tingyu Nie, Tianjiao Li, Cong Ma, Li Fan, Lin Liu
{"title":"影响心血管疾病风险的非传统因素:Framingham风险评分、身体成分指数和睡眠-呼吸监测指数的相关性","authors":"Libo Zhao,&nbsp;Xin Xue,&nbsp;Yinghui Gao,&nbsp;Weimeng Cai,&nbsp;Zhe Zhao,&nbsp;Dong Rui,&nbsp;Tingyu Nie,&nbsp;Tianjiao Li,&nbsp;Cong Ma,&nbsp;Li Fan,&nbsp;Lin Liu","doi":"10.1111/cts.70170","DOIUrl":null,"url":null,"abstract":"<p>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), CO<sub>2</sub>, serum ferritin, hemoglobin (HB), and ECT/TBW among the FRS tripartite groups. However, no significant differences were found in AHI and MSpO<sub>2</sub>. The multiple linear regression analysis revealed positive correlations between ECW/TBW and FBG with FRS (<i>β</i> = 0.324 and 0.324, <i>p</i> &lt; 0.001), while HB and muscle/fat mass exhibited negative correlations with the score (<i>β</i> = −0.185 and − 0.169, <i>p</i> &lt; 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 (OR<sub>ratio</sub> = 0.532, 95% CI: 0.284–0.996; OR<sub>HB</sub> = 0.961, 95% CI: 0.932–0.991; OR<sub>BMR</sub> = 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.</p>","PeriodicalId":50610,"journal":{"name":"Cts-Clinical and Translational Science","volume":"18 3","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/cts.70170","citationCount":"0","resultStr":"{\"title\":\"Nontraditional Factors Influencing Cardiovascular Disease Risk: Correlation Among Framingham Risk Score, Body Composition Index, and Sleep-Breathing Monitoring Index\",\"authors\":\"Libo Zhao,&nbsp;Xin Xue,&nbsp;Yinghui Gao,&nbsp;Weimeng Cai,&nbsp;Zhe Zhao,&nbsp;Dong Rui,&nbsp;Tingyu Nie,&nbsp;Tianjiao Li,&nbsp;Cong Ma,&nbsp;Li Fan,&nbsp;Lin Liu\",\"doi\":\"10.1111/cts.70170\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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), CO<sub>2</sub>, serum ferritin, hemoglobin (HB), and ECT/TBW among the FRS tripartite groups. However, no significant differences were found in AHI and MSpO<sub>2</sub>. The multiple linear regression analysis revealed positive correlations between ECW/TBW and FBG with FRS (<i>β</i> = 0.324 and 0.324, <i>p</i> &lt; 0.001), while HB and muscle/fat mass exhibited negative correlations with the score (<i>β</i> = −0.185 and − 0.169, <i>p</i> &lt; 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 (OR<sub>ratio</sub> = 0.532, 95% CI: 0.284–0.996; OR<sub>HB</sub> = 0.961, 95% CI: 0.932–0.991; OR<sub>BMR</sub> = 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.</p>\",\"PeriodicalId\":50610,\"journal\":{\"name\":\"Cts-Clinical and Translational Science\",\"volume\":\"18 3\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/cts.70170\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cts-Clinical and Translational Science\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/cts.70170\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cts-Clinical and Translational Science","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/cts.70170","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

为了研究身体组成、睡眠呼吸指标和Framingham风险评分(FRS)之间的相关性,以识别和放大影响男性心血管疾病风险的非传统因素,共有195名男性参与者接受了身体组成和睡眠呼吸监测的检查。我们比较了不同FRS组的个体因素差异。我们进一步进行多元线性回归分析。以FRS≥14为临界值,采用logistic回归分析检验可能的影响因素。FRS三组空腹血糖(FBG)、CO2、血清铁蛋白、血红蛋白(HB)、ECT/TBW水平均有统计学差异。然而,AHI和MSpO2无显著差异。多元线性回归分析显示,ECW/TBW和FBG与FRS评分呈正相关(β = 0.324和0.324,p < 0.001),而HB和肌脂质量与FRS评分呈负相关(β = - 0.185和- 0.169,p < 0.01)。ECW/TBW、FBG、HB、血清铁蛋白和肌肉/脂肪质量这五个因素共同占FRS变异的28.6%,ECW/TBW越高,FRS≥14越显著(OR = 2.208, 95% CI: 1.503-3.244)。相反,肌肉/脂肪量、HB和基础代谢率(BMR)水平的降低与中高CVD风险显著相关(or比= 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)。这项研究揭示了ECW/TBW、HB、FBG和肌脂质量比与使用frs预测的CVD风险之间的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信