Longitudinal Sedentary Time Among Females Aged 17 to 23 Years.
Longitudinal Sedentary Time Among Females Aged 17 to 23 Years.
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DOI：
10.1016/j.amepre.2018.11.021
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发表时间：
2019-04
影响因子：
5.5
通讯作者：
D. Young;M. Sidell;C. Koebnick;B. Saksvig;Yasmina D Mohan;D. Cohen;T. Wu
中科院分区：
文献类型：
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作者：
D. Young;M. Sidell;C. Koebnick;B. Saksvig;Yasmina D Mohan;D. Cohen;T. Wu
久坐不动的时间是心脏代谢健康不良的一个新的危险因素。本研究探讨了纵向相关的久坐不动的时间之间的一个队列的女性从大约17岁到23岁years.MethodsThe队列包括女性最初参加的试验活动的青少年女孩马里兰州网站谁在2009年和2015年的评估（n=431）。久坐行为的每日时间百分比由加速度计确定。社会人口学、心理社会因素和健康行为通过问卷调查进行评估。Lasso变量选择确定了线性混合效应模型中包含的潜在变量。作为一个次要的分析，k-均值算法的纵向数据确定同质集群的个人久坐的时间trajectors.ResultsPercentage每日久坐的时间并没有随着时间的推移而改变（67%至68%）。非黑人种族（p=0.04）、父亲受教育程度较高（p<0.001）、工作日使用电脑的时间较多（p<0.001）、周末看电视的时间较多（p=0.01）、身体活动障碍较多（p=0.003）、每周开车的天数较少（p=0.01）和家中车辆较多（p=0.02）与久坐时间较多相关。聚类分析得出两种模式：更多（70%）与更少（60%）的时间久坐不动。久坐不动的人更有可能是大学毕业生（p<0.001），收入更高（p=0.03），工作时间更短（p=0.009）。他们也不太可能结婚或在普通法的关系（p=0.05）或在养育子女的角色（p=0.02）。与久坐时间相关的因素在整个社会生态学框架中是显着的，其中包括几个表明SES较高的因素。
IntroductionTime spent in sedentary behaviors is a newer risk factor for poor cardiometabolic health. This study examined longitudinal correlates of sedentary time among a cohort of females from about age 17 to age 23 years.MethodsThe cohort included females originally participating in the Trial of Activity for Adolescent Girls Maryland site who had assessments in 2009 and 2015 (n=431). Percentage daily time in sedentary behaviors was determined from accelerometers. Sociodemographics, psychosocial factors, and health behaviors were assessed by questionnaire. Lasso variable selection identified potential variables included in linear mixed effects models. As a secondary analysis, a k-means algorithm for longitudinal data identified homogeneous clusters of individual sedentary time trajectories.ResultsPercentage daily sedentary time did not change over time (67% to 68%). Not of black race (p=0.04), higher father's education (p<0.001), more weekday computer hours (p<0.001), more weekend TV hours (p=0.01), more physical activity barriers (p=0.003), fewer days per week driving (p=0.01), and more vehicles in the household (p=0.02) were associated with greater sedentary time. Cluster analysis resulted in two patterns: more (70%) versus less (60%) time being sedentary. The more sedentary individuals were more likely to be college graduates (p<0.001), have a higher income (p=0.03), and work fewer hours (p=0.009). They were also less likely to be married or in a common-law relationship (p=0.05) or in a parenting role (p=0.02).ConclusionsTime spent in sedentary behaviors remained stable. Factors associated with sedentary time were significant across the socioecologic framework and included several factors indicating higher SES.