Esmaeilzadeh Samad, Hakala Pirjo, Berg Päivi, Salmon Jo, Rinne Tiina, Pesola Arto J
Active Life Lab, South-Eastern Finland University of Applied Sciences, Mikkeli, Finland.
University of Mohaghegh Ardabili, Ardabil, Iran.
J Act Sedentary Sleep Behav. 2024 Jun 13;3(1):14. doi: 10.1186/s44167-024-00053-9.
Traditional intensity-based physical activity measures and variable-centered statistics may not fully capture the complex associations between sitting time, physical activity, and obesity indices. This study investigates the associations between device-measured sitting, standing and different modes of physical activity (i.e., slow walking, brisk-walking, cycling and high-intensity activity) and measured body mass index (BMI) in children using person-based latent profile analyses and Partial Least Squared-structural equation modeling (PLS-SEM).
A total of 344 children (11.5 ± 0.81 years, boys n = 139) wore a triaxial accelerometer (Fibion®) on their thigh for eight days, and their weight and height were measured at school. Latent profile analysis formed profiles including BMI, total sitting time, and physical activities, and their associations were further studied with PLS-SEM.
The latent profile analysis indicates that high levels of physical activity always coincide with low sitting time. Both normal weight and overweight/obesity can coexist with low physical activity and prolonged sitting. The PLS-SEM results highlight a cascade-like sequence in the relationship between various types of physical activity, sitting time, and BMI. This sequence begins with light-intensity activities, such as standing, progresses to higher-intensity activities, and ultimately through reduced sitting time (sample mean= -0.01; effect size = 0.0001; p = 0.02), mediates a decline in BMI (sample mean= -0.06; effect size = 0.0036; p = 0.01). The most positive effects on sitting time and BMI occur when this pattern is adhered to consistently, suggesting that omitting steps could negatively impact the associations.
These findings suggest that persuading children to increase physical activity incrementally, starting from low-intensity activities such as standing and slow walking to activity types with higher intensities, possibly influence BMI by mediating reduced sitting time. This approach is particularly inclusive for overweight and obese children, taking into account the potential challenges they may encounter when performing activity types with high intensity. These cross-sectional associations need to be verified with longitudinal and experimental designs.
传统的基于强度的身体活动测量方法和以变量为中心的统计方法可能无法完全捕捉久坐时间、身体活动与肥胖指数之间的复杂关联。本研究使用基于个体的潜在剖面分析和偏最小二乘结构方程模型(PLS-SEM),调查儿童中通过设备测量的久坐、站立以及不同身体活动模式(即慢走、快走、骑自行车和高强度活动)与测量的体重指数(BMI)之间的关联。
总共344名儿童(11.5±0.81岁,男孩n = 139)在大腿上佩戴三轴加速度计(Fibion®)八天,并在学校测量他们的体重和身高。潜在剖面分析形成了包括BMI、总久坐时间和身体活动的剖面,并使用PLS-SEM进一步研究它们之间的关联。
潜在剖面分析表明,高水平的身体活动总是与低久坐时间同时出现。正常体重和超重/肥胖都可能与低身体活动和长时间久坐并存。PLS-SEM结果突出了各种身体活动类型、久坐时间和BMI之间关系中的级联序列。这个序列从轻度强度活动(如站立)开始,发展到更高强度活动,最终通过减少久坐时间(样本均值=-0.01;效应量=0.0001;p = 0.02),介导BMI下降(样本均值=-0.06;效应量=0.0036;p = 0.01)。当始终坚持这种模式时,对久坐时间和BMI的影响最为积极,这表明省略步骤可能会对关联产生负面影响。
这些发现表明,说服儿童逐步增加身体活动,从站立和慢走等低强度活动开始,到更高强度的活动类型,可能通过介导减少久坐时间来影响BMI。这种方法对超重和肥胖儿童特别具有包容性,考虑到他们在进行高强度活动类型时可能遇到的潜在挑战。这些横断面关联需要通过纵向和实验设计进行验证。