体力活动和学龄儿童母亲的久坐时间：基于人口统计学、就业和家庭因素的加速度计衍生模式指标的差异。
Physical Activity and Sedentary Time Among Mothers of School-Aged Children: Differences in Accelerometer-Derived Pattern Metrics by Demographic, Employment, and Household Factors.
机构信息
Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.
Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.
出版信息
Womens Health Issues. 2022 Sep-Oct;32(5):490-498. doi: 10.1016/j.whi.2022.03.005. Epub 2022 Apr 28.
BACKGROUND
Dynamic patterns of how physical activity and sedentary time are accumulated across the day are associated with health outcomes, independent of total activity levels. Individual factors may influence activity patterns in mothers, but these associations are unknown. This study examined multivariable associations between demographic, employment, and household factors and day-level pattern metrics.
METHODS
Mothers (N = 200) of school-aged children (ages 8-12 years) participated in 6 semi-annual 7-day assessments. Waist-worn Actigraph GT3X accelerometers assessed daily moderate-to-vigorous physical activity (MVPA; minutes, number of short bouts [<10 minutes], proportion of long bouts [≥20 minutes]) and sedentary time (minutes, number of breaks, proportion of long bouts [≥60 minutes], temporal dispersion). Multilevel models examined associations between individual characteristics and activity metrics.
RESULTS
There were 4,930 day-level observations. Having a college degree was associated with fewer short MVPA bouts (B = -2.67), more sedentary minutes (B = 21.66), greater long sedentary bouts (odds ratio = 1.50), and having sedentary time less evenly distributed across the day (B = 0.01). Working full-time was associated with more short MVPA bouts (B = 1.39) and breaks in sedentary time (B = 2.08). Having at least 1 infant (<6 months old) in the same household was associated with fewer MVPA minutes (B = -0.11) and short MVPA bouts (B = -4.46), whereas having at least 1 young child (6 months-5 years old) in the same household was associated with fewer sedentary minutes (B = -11.85) and fewer long sedentary bouts (odds ratio = 0.70).
CONCLUSIONS
Day-level pattern metrics show differences not captured when examining total volume alone. Results provide more nuanced information as to how activity is accumulated in terms of bouts and breaks, which can inform programs to increase MVPA and reduce sedentary time by elucidating subpopulations that should be targeted by health behavior interventions.
背景
体力活动和久坐时间在一天中的积累方式与健康结果有关，而与总活动水平无关。个体因素可能会影响母亲的活动模式，但这些关联尚不清楚。本研究探讨了人口统计学、就业和家庭因素与日间模式指标之间的多变量关联。
方法
200 名学龄儿童（8-12 岁）的母亲参加了 6 次半年 7 天评估。腰部佩戴的 Actigraph GT3X 加速度计评估了每日中等到剧烈的体力活动（MVPA；分钟数、短时间爆发的次数[<10 分钟]、长时间爆发的比例[≥20 分钟]）和久坐时间（分钟数、休息次数、长时间爆发的比例[≥60 分钟]、时间分散）。多水平模型检查了个体特征与活动指标之间的关联。
结果
共观察到 4930 个日间水平的观察值。拥有大学学位与短时间 MVPA 爆发次数减少（B=-2.67）、久坐时间增加（B=21.66）、长时间久坐爆发次数增加（比值比=1.50）和久坐时间在一天中的分布不均有关（B=0.01）。全职工作与短时间 MVPA 爆发次数增加（B=1.39）和休息次数增加有关（B=2.08）。同一家庭中至少有 1 名婴儿（<6 个月大）与 MVPA 分钟数减少（B=-0.11）和短时间 MVPA 爆发次数减少（B=-4.46）有关，而同一家庭中至少有 1 名幼儿（6 个月-5 岁）与久坐时间减少（B=-11.85）和长时间久坐爆发次数减少（比值比=0.70）有关。
结论
日间模式指标显示了仅检查总运动量时无法捕捉到的差异。研究结果提供了更细致的信息，说明活动是如何以爆发和休息的形式积累的，这可以为增加 MVPA 和减少久坐时间的项目提供信息，阐明应通过健康行为干预针对的亚人群。
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