Fisioterapia, Universidad de Boyacá Sede Tunja, Colombia.
Real World Evidence, IQVIA, Belgium.
PLoS One. 2024 Apr 18;19(4):e0299032. doi: 10.1371/journal.pone.0299032. eCollection 2024.
The accurate monitoring of metabolic syndrome in older adults is relevant in terms of its early detection, and its management. This study aimed at proposing a novel semiparametric modeling for a cardiometabolic risk index (CMRI) and individual risk factors in older adults.
Multivariate semiparametric regression models were used to study the association between the CMRI with the individual risk factors, which was achieved using secondary analysis the data from the SABE study (Survey on Health, Well-Being, and Aging in Colombia, 2015).
The risk factors were selected through a stepwise procedure. The covariates included showed evidence of non-linear relationships with the CMRI, revealing non-linear interactions between: BMI and age (p< 0.00); arm and calf circumferences (p<0.00); age and females (p<0.00); walking speed and joint pain (p<0.02); and arm circumference and joint pain (p<0.00).
Semiparametric modeling explained 24.5% of the observed deviance, which was higher than the 18.2% explained by the linear model.
在老年人中准确监测代谢综合征与早期发现和管理相关。本研究旨在提出一种新的半参数模型，用于研究心脏代谢风险指数（CMRI）和老年人个体风险因素之间的关系。
使用多元半参数回归模型来研究 CMRI 与个体风险因素之间的关联，这是通过对哥伦比亚 SABE 研究（2015 年健康、幸福和老龄化调查）的数据进行二次分析来实现的。
通过逐步程序选择了风险因素。包括的协变量显示出与 CMRI 呈非线性关系的证据，揭示了 BMI 和年龄之间的非线性相互作用（p<0.00）；手臂和小腿周长之间（p<0.00）；年龄和女性之间（p<0.00）；行走速度和关节疼痛之间（p<0.02）；以及手臂周长和关节疼痛之间（p<0.00）。
半参数模型解释了 24.5%的观察到的偏差，高于线性模型解释的 18.2%。
