目的探讨身体质量指数(Body mass index,BMI)结合人体成分分析在老年患者髋膝关节置换手术围手术期的作用,为制定围术期多学科诊疗方案提供依据。方法纳入自2021-02—2022-10于四川大学华西医院行关节置换手术的129例老年患者为研究对象,分为消瘦正常组(BMI≤26.9 kg/m2)和超重肥胖组(BMI>26.9 kg/m2),进行人体成分测定,对年龄、性别、BMI、体脂百分比、内脏脂肪面积、腰围、骨骼肌质量指数(Skeletal muscle mass index,SMI)等指标进行综合分析。结果消瘦正常组和超重肥胖组性别、体脂百分比、内脏脂肪面积及腰围差异有统计学意义(P<0.05),但是年龄、SMI及MNA-SF评分差异无统计学意义(P>0.05)。无论男性还是女性,超重肥胖组的体重、BMI、体脂肪、体脂百分比、腰围、内脏脂肪面积明显高于消瘦正常组,而且均值高于正常范围,差异有统计学意义(P<0.05)。患者的BMI与体脂百分比(r_男=0.772,r_女=0.647)、腰围(r_男=0.718,r_女=0.801)、内脏脂肪面积(r_男=0.799,r_女=0.819)及SMI(r_男=0.600,r_女=0.530)相关。回归方程:BMI_男=0.235×SMI+0.324×体脂百分比,BMI_女=0.030×内脏脂肪面积+2.357×SMI+0.163×体脂百分比+0.062×腰围。结论BMI结合人体成分分析可以应用于髋膝关节置换手术老年患者围术期的临床评估及监测,为准确指导并制定诊疗方案提供依据。
甘油三酯–葡萄糖(TyG)指数是近年来发现的评估胰岛素抵抗简单有效的测定指标,且在心血管相关疾病的风险预测、危险分层及预后评估方面有重要意义。随着研究深入发现TyG指数与身体质量指数相结合,在预测心血管疾病的发生风险上具有更强的可参考性,尤其是在高血压及冠状动脉粥样硬化性心脏病方面。本文就TyG指数联合身体质量指数在多种心血管疾病的最新研究进展和相关机制及潜在不足进行阐述,以期提高该指数应用价值。The triglyceride-glucose (TyG) index has proven to be a simple and effective measure for assessing insulin resistance, demonstrating considerable importance in the risk prediction, stratification, and prognostication of cardiovascular diseases. Recent investigations suggest that the combination of the TyG index and body mass index (BMI) offers enhanced predictive capabilities for cardiovascular events, particularly in cases of hypertension and coronary artery disease. This article presents a comprehensive review of current literature concerning the application of the TyG-BMI index in various cardiovascular pathologies, examining its underlying mechanisms, limitations, and potential for improved clinical application.
目的:探讨人格特质在影响大学生BMI及体型相关因素中的作用,为改善大学生体型健康提供科学依据。方法:2024年6月招募了来自杭州某高校272名年龄在18至23岁之间的大学生参与者,采用自我报告问卷和生理测量的方式收集数据。结果:相关分析发现,宜人性与开放性与BMI呈显著负相关(皆P Objective: To explore the role of personality traits in influencing college students’ BMI and body shape related factors, and to provide scientific basis for improving college students’ body shape health. Methods: In June 2024, 272 college students aged between 18 and 23 years old from a university in Hangzhou were recruited. Self-reported questionnaires and physiological measurements were used to collect data. Results: Correlation analysis showed that agreeableness and openness were significantly negatively correlated with BMI (both P < 0.05). Agreeableness was significantly positively correlated with BMI body type (P < 0.05). Extraversion and neuroticism significantly affected body image (all P < 0.01). Openness was significantly negatively correlated with WHtR in male group (P < 0.01). Personality traits significantly predicted BMI and body type of male college students (both P < 0.05), but significantly predicted body image of female college students (P < 0.01). Conclusion: There is a correlation between the big five personality traits and the physical health data of college students. The regression analysis shows a certain predictive power, which can provide personalized health management plans for students with different personality traits.
