Correlates of US adult physical activity and sedentary behavior patterns
Correlates of US adult physical activity and sedentary behavior patterns
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DOI：
10.1016/j.jsams.2016.03.009
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发表时间：
2016-12-01
影响因子：
4
通讯作者：
Evenson, Kelly R.
中科院分区：
文献类型：
--
作者：
Jones, Sydney A.;Wen, Fang;Evenson, Kelly R.
目的：体力活动和久坐行为模式可能与社会人口统计学和健康指标存在差异。我们探讨了一周内加速度计测量的身体活动和久坐行为的日常模式的相关性，以告知干预development.Design：横断面研究方法：国家健康与营养调查（NHANES）成人参与者（>= 20岁）在2003-2006年戴加速度计1周。来自7236名参与者的加速度计数据被用来导出描述一周内身体活动和久坐行为的日常模式的潜在类别。每种模式的相关性进行了确定，从21个潜在的变量分为四个领域：社会人口，文化适应，心血管，和健康history.Results：年龄较大，女性，较高的体重指数，慢性病史一贯与低的几率是在一个更活跃的相比，最不活跃的类。相比之下，被雇用，在家里说西班牙语，并有更好的自我评价的健康与更高的几率是在一个更活跃的相比，最不活跃的class.Conclusions：相关的身体活动和久坐不动的行为模式被确定从所有领域（社会人口，文化适应，心血管和健康史）。大多数与体力活动呈正相关的相关性与久坐行为呈负相关。更好地了解身体活动和久坐行为模式的相关性可以为促进身体活动和减少久坐行为的干预提供信息。(C)2016年澳大利亚运动医学。由爱思唯尔有限公司出版。保留所有权利。
Objectives: Physical activity and sedentary behavior patterns may be differentially associated with socio-demographic and health measures. We explored correlates of day-to-day patterns over a week in accelerometer measured physical activity and sedentary behavior to inform intervention development.Design: Cross-sectional study.Methods: National Health and Nutrition Examination Survey (NHANES) adult participants (>= 20 years) in 2003-2006 wore an accelerometer for 1 week. Accelerometer data from 7236 participants were used to derive latent classes describing day-to-day patterns over a week of physical activity and sedentary behavior. Correlates of each pattern were identified using multinomial logistic regression from 21 potential variables grouped into four domains: socio-demographic, acculturation, cardiovascular, and health history.Results: Older age, female sex, higher body mass index, and history of chronic disease were consistently associated with lower odds of being in a more active compared to the least active class. In contrast, being employed, speaking Spanish at home, and having better self-rated health were associated with higher odds of being in a more active compared to the least active class.Conclusions: Correlates of physical activity and sedentary behavior patterns were identified from all domains (socio-demographic, acculturation, cardiovascular, and health history). Most correlated that were positively associated with physical activity were negatively associated with sedentary behavior. Better understanding of the correlates of physical activity and sedentary behavior patterns can inform interventions to promote physical activity and reduce sedentary behavior. (C) 2016 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.