Harborview Injury Prevention & Research Center, University of Washington, Seattle, Washington.
Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota.
Am J Epidemiol. 2018 Jul 1;187(7):1549-1558. doi: 10.1093/aje/kwy027.
Most epidemiologic studies of physical activity measure either total energy expenditure or engagement in a single type of activity, such as walking. These approaches may gloss over important nuances in activity patterns. We performed a latent transition analysis to identify patterns of activity, as well as neighborhood and individual determinants of changes in those activity patterns, over 2 years in a cohort of 2,023 older adult residents of New York, New York, surveyed between 2011 and 2013. We identified 7 latent classes: 1) mostly inactive, 2) walking, 3) exercise, 4) household activities and walking, 5) household activities and exercise, 6) gardening and household activities, and 7) gardening, household activities, and exercise. The majority of subjects retained the same activity patterns between waves (54% unchanged between waves 1 and 2, 66% unchanged between waves 2 and 3). Most latent class transitions were between classes distinguished only by 1 form of activity, and only neighborhood unemployment was consistently associated with changing between activity latent classes. Future latent transition analyses of physical activity would benefit from larger cohorts and longer follow-up periods to assess predictors of and long-term impacts of changes in activity patterns.
大多数关于体力活动的流行病学研究都测量总能量消耗或单一类型活动的参与，例如散步。这些方法可能会忽略活动模式中的重要细微差别。我们对纽约市 2011 年至 2013 年间接受调查的 2023 名老年居民进行了为期 2 年的队列研究，采用潜在转变分析来确定活动模式以及邻里和个体因素对这些活动模式变化的影响。我们确定了 7 种潜在类别：1）主要不活跃，2）散步，3）锻炼，4）家务活动和散步，5）家务活动和锻炼，6）园艺和家务活动，7）园艺、家务活动和锻炼。大多数受试者在两次波之间保持相同的活动模式（第 1 波和第 2 波之间不变的占 54%，第 2 波和第 3 波之间不变的占 66%）。大多数潜在类别转变发生在仅通过 1 种活动形式区分的类别之间，只有邻里失业率与活动潜在类别之间的变化始终相关。未来的体力活动潜在转变分析将受益于更大的队列和更长的随访期，以评估活动模式变化的预测因素和长期影响。
