人体脂肪分布与颈动脉粥样硬化的相关性

Correlation between Human Body Fat Distribution and Carotid Atherosclerosis

  • 摘要: 目的 探讨人体脂肪分布与颈动脉粥样硬化的相关性。方法 选取2020年1月—2023年1月在北京协和医院国际医疗部(西单院区)健康管理中心体检的成年健康人群为研究对象。收集研究对象的基线资料、实验室指标、Inbody人体成分分析及颈动脉超声检查结果。根据颈动脉超声检查结果将其分为颈动脉粥样硬化组和对照组。比较2组基线资料、实验指标及人体成分差异,并采用多元Logistic回归分析颈动脉粥样硬化与人体成分的相关性。为进一步探究脂肪分布与颈动脉粥样硬化的相关性,根据四分位数(Q1~Q4)将躯干脂肪与四肢脂肪的比值(躯干脂肪/四肢脂肪)、内脏脂肪面积、腰臀比进一步分为Q1组、Q2组、Q3组和Q4组(以Q1组为参照),绘制森林图分析各亚组发生颈动脉粥样硬化的风险。结果 本研究共纳入2221名受试者,其中男性1194例(53.76%),女性1027例(46.24%),平均年龄(50.28±10.93)岁。颈动脉粥样硬化组1049例,对照组1172例。基线资料分析结果显示,颈动脉粥样硬化组年龄、男性占比高于对照组(P均<0.001);颈动脉粥样硬化组体质量、体质量指数(body mass index,BMI)、腰臀比、体脂肪量、躯干脂肪、躯干脂肪/四肢脂肪、内脏脂肪面积等指标显著高于对照组(P均<0.001)。实验室检查结果显示,颈动脉粥样硬化组血糖、糖化血红蛋白、甘油三酯、尿酸等水平显著高于对照组(P均<0.001)。多元Logistic回归分析结果显示,调整年龄、性别、吸烟史和饮酒史后,体脂肪量、躯干脂肪、躯干脂肪/四肢脂肪、腰臀比均与颈动脉粥样硬化发生风险显著相关(P<0.05)。与Q1组比较,Q4组动脉粥样硬化风险显著增加(OR=1.81,95% CI:1.26~2.61,P<0.01);腰臀比、内脏脂肪面积与颈动脉粥样硬化无显著相关性(P>0.05)。结论 躯干脂肪/四肢脂肪与颈动脉粥样硬化的发生具有显著相关性。内脏脂肪与颈动脉粥样硬化的相关性较为复杂,需增加样本量进行进一步探索和研究。未来应扩大样本量并采用更精确的脂肪分布测量方法以验证本研究结论。

     

    Abstract: Objective To explore the correlations between human body fat distribution and carotid atherosclerosis. Methods Adult healthy individuals who underwent physical examinations at the Health Management Center of the International Medical Department (Xidan Campus) of Peking Union Medical College Hospital between January 2020 and January 2023 were selected as study participants. Baseline data, laboratory indicators, Inbody body composition analysis, and carotid ultrasound examination results were collected. Participants were divided into carotid atherosclerosis group and control group based on carotid ultrasound examination results. Baseline data, laboratory indicators, and body composition differences between the two groups were compared, and multivariate Logistic regression analysis was conducted to investigate the correlation between carotid atherosclerosis and body composition. To further explore the correlation between fat distribution and carotid atherosclerosis, the ratio of trunk fat to limb fat (trunk fat/limb fat), visceral fat area, and waist-to-hip ratio were stratified into Q1, Q2, Q3, and Q4 groups (with Q1 group as the reference) based on quartiles (Q1 to Q4), and a forest plot was constructed to analyze the risk of carotid atherosclerosis in each subgroup. Results A total of 2221 participants were included in this study, including 1194 males (53.76%) and 1027 females (46.24%), with a mean age of (50.28±10.93) years. There were 1049 cases in the carotid atherosclerosis group and 1172 cases in the control group. Baseline data analysis showed that the carotid atherosclerosis group had a higher age and male proportion compared to the control group (both P<0.001). The carotid atherosclerosis group also had significantly higher levels of body weight, body mass index (BMI), waist-to-hip ratio, body fat mass, trunk fat, trunk fat/limb fat, and visceral fat area compared to the control group (all P<0.001). Laboratory test results indicated that the carotid atherosclerosis group had significantly higher levels of blood glucose, glycated hemoglobin, triglycerides, and uric acid compared to the control group (all P<0.001). Multivariate Logistic regression analysis revealed that after adjusting for age, gender, smoking history, and drinking history, body fat mass, trunk fat, trunk fat/limb fat, and waist-to-hip ratio were significantly associated with the risk of carotid atherosclerosis (P<0.05). Compared with the Q1 group, the Q4 group had a significantly increased risk of atherosclerosis (OR=1.81, 95% CI: 1.26 to 2.61, P<0.01). However, there was no significant correlation between waist-to-hip ratio, visceral fat area, and carotid atherosclerosis (P>0.05). Conclusions There is a significant correlation between trunk fat/limb fat and the occurrence of carotid atherosclerosis. The correlation between visceral fat and carotid atherosclerosis is more complex and requires further exploration and research with an increased sample size. In the future, the sample size should be expanded, and more precise methods for measuring fat distribution should be adopted to validate the conclusions of this study.

     

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