Jankowska Marta M, Tribby Calvin P, Hibbing Paul R, Carlson Jordan A, Greenwood-Hickman Mikael Anne, Sears Dorothy D, LaCroix Andrea Z, Natarajan Loki
Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA, USA.
Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA.
J Racial Ethn Health Disparities. 2024 Aug 12. doi: 10.1007/s40615-024-02114-w.
Sedentary behavior has been identified as a significant risk factor for Metabolic Syndrome (MetS). However, it is unclear if the sedentary pattern measurement approach (posture vs. movement) impacts observed associations or if associations differ for Hispanic/Latino communities, who have higher risk of MetS.
Participants from the Community of Mine (CoM) study (N = 602) wore hip-based accelerometers for 14 days and completed MetS-associated biomarker assessment (triglycerides, blood pressure, fasting glucose, HDL cholesterol, waist circumference). Sedentary patterns were classified using both cutpoints (movement-based) and the Convolutional Neural Network Hip Accelerometer Posture (CHAP) algorithm (posture-based). We used logistic regression to estimate associations between MetS with sedentary patterns overall and stratified by Hispanic/Latino ethnicity.
CHAP and cutpoint sedentary patterns were consistently associated with MetS. When controlling for total sedentary time and moderate to vigorous physical activity, only CHAP-measured median sedentary bout duration (OR = 1.15, CI: 1.04, 1.28) was significant. In stratified analysis, CHAP-measured median bout duration and time spent in sedentary bouts ≥ 30 min were each associated with increased odds of MetS, but the respective associations were stronger for Hispanic/Latino ethnicity (OR = 1.71 and 1.48; CI = 1.28-2.31 and 1.12-1.98) than for non-Hispanic/Latino ethnicity (OR = 1.43 and 1.40; CI = 1.10-1.87 and 1.06-1.87).
The way sedentary patterns are measured can impact the strength and precision of associations with MetS. These differences may be larger in Hispanic/Latino ethnic groups and warrants further research to inform sedentary behavioral interventions in these populations.
久坐行为已被确定为代谢综合征（MetS）的一个重要风险因素。然而，尚不清楚久坐模式的测量方法（姿势与运动）是否会影响观察到的关联，或者这些关联在代谢综合征风险较高的西班牙裔/拉丁裔社区中是否有所不同。
来自“我的社区”（CoM）研究的参与者（N = 602）佩戴基于臀部的加速度计14天，并完成了与代谢综合征相关的生物标志物评估（甘油三酯、血压、空腹血糖、高密度脂蛋白胆固醇、腰围）。久坐模式使用切点（基于运动）和卷积神经网络臀部加速度计姿势（CHAP）算法（基于姿势）进行分类。我们使用逻辑回归来估计总体久坐模式与代谢综合征之间以及按西班牙裔/拉丁裔种族分层的关联。
CHAP和切点久坐模式均与代谢综合征持续相关。在控制总久坐时间和中度至剧烈身体活动时，只有CHAP测量的久坐时段中位数持续时间（OR = 1.15，CI：1.04，1.28）具有显著性。在分层分析中，CHAP测量的久坐时段中位数持续时间和久坐时段≥30分钟的时间均与代谢综合征的患病几率增加相关，但西班牙裔/拉丁裔种族（OR = 1.71和1.48；CI = 1.28 - 2.31和1.12 - 1.98）的各自关联比非西班牙裔/拉丁裔种族（OR = 1.43和1.40；CI = 1.10 - 1.87和1.06 - 1.87）更强。
久坐模式的测量方式会影响与代谢综合征关联的强度和精确度。这些差异在西班牙裔/拉丁裔族群中可能更大，需要进一步研究以为这些人群的久坐行为干预提供信息。
