Xue Hao, Zou YuChi, Yang QianKun, Zhang Zhao, Zhang Jie, Wei XiaoYu, Zhou JiangLing, Tao Xiao Liang, Zhang ChengMin, Xia YiJu, Luo Fei
National & Regional United Engineering Lab of Tissue Engineering, Department of Orthopedics, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Department of Spinal Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan Province, China.
Heliyon. 2024 Mar 26;10(7):e28792. doi: 10.1016/j.heliyon.2024.e28792. eCollection 2024 Apr 15.
Physical activity (PA) is widely recommended for preventing and combating obesity, but the most effective PA pattern for treating obesity remains unclear. Cardiometabolic index (CMI), derived from waist height ratio and triglycerides to high-density lipoprotein-cholesterol ratio, is a novel indicator for evaluating obesity. However, the relationship between different PA patterns and CMI remains unelucidated.
This study aimed to explore the association between different PA patterns and CMI in U.S. adults.
Participants with complete information in CMI, PA patterns, and other covariates in the National Health and Nutrition Examination Survey database (2007-2016) were included in this study. Multivariate linear regression models were utilized to explore the relationship between PA patterns and CMI. Moreover, stratified analyses, interaction tests and restricted cubic spline (RCS) regression analysis were used to investigate the stability and nonlinearity of the association, respectively.
A total of 16,442 adults were included in this study. After adjusting for all potential covariates, only the regularly active group was significantly associated with CMI reduction (β = -0.13, 95% CI: 0.19 to -0.07, P < 0.0001), while the weekend warriors group did not achieve equivalent CMI reduction (β = -0.09, 95% CI: 0.32 to 0.14, P = 0.4204). Subgroup analyses and interaction tests revealed that the CMI-PA association was more pronounced in the subgroup with age≤45 or >60, with higher education level, and who are current drinkers. Furthermore, RCS analysis indicated that total PA in a week was significantly, nonlinearly associated with CMI in non-inactive adults, and that a total of PA more than 330 min can reap favorable CMI reduction.
Being regularly active is associated with significant CMI reduction, while being weekend warriors and insufficiently active do not achieve equivalent benefits. For non-inactive individuals, engaging in PA for more than 330 min weekly helps to reduce CMI effectively.
体育活动（PA）被广泛推荐用于预防和对抗肥胖，但治疗肥胖最有效的PA模式仍不明确。由腰高比和甘油三酯与高密度脂蛋白胆固醇比值得出的心脏代谢指数（CMI）是评估肥胖的一种新指标。然而，不同PA模式与CMI之间的关系仍未阐明。
本研究旨在探讨美国成年人中不同PA模式与CMI之间的关联。
本研究纳入了美国国家健康与营养检查调查数据库（2007 - 2016年）中CMI、PA模式及其他协变量信息完整的参与者。采用多元线性回归模型探讨PA模式与CMI之间的关系。此外，分别使用分层分析、交互作用检验和受限立方样条（RCS）回归分析来研究该关联的稳定性和非线性。
本研究共纳入16442名成年人。在调整所有潜在协变量后，只有规律运动组与CMI降低显著相关（β = -0.13，95%置信区间：0.19至 -0.07，P < 0.0001），而周末战士组未实现同等程度的CMI降低（β = -0.09，95%置信区间：0.32至0.14，P = 0.4204）。亚组分析和交互作用检验显示，CMI - PA关联在年龄≤45岁或>60岁、教育水平较高且当前饮酒的亚组中更为明显。此外，RCS分析表明，在非不活动的成年人中，一周的总PA与CMI显著非线性相关，且总PA超过330分钟可实现有利的CMI降低。
规律运动与显著降低CMI相关，而周末战士式运动和运动不足则未获得同等益处。对于非不活动的个体，每周进行超过330分钟的PA有助于有效降低CMI。
