Longitudinal trajectories of physical activity in women using latent class growth analysis: The WIN Study

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• 作者：Youngdeok Kim^a ; ^{youngdeok.kim@ttu.edu} ; Minsoo Kang^b ; Anna M. Tacó ; n^a ; James R. Morrow Jr^c
• 关键词：Female ; Pedometer ; Prospective cohort ; Season ; Step-count
• 刊名：Journal of Sport and Health Science
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：5
• 期：4
• 页码：410-416
• 全文大小：369 K
• 卷排序：5

文摘

This study aimed (1) to examine the longitudinal trajectories in objectively measured physical activity (PA); (2) to identify unknown (i.e., latent) subgroups with distinct trajectories; and (3) to examine the correlates of latent subgroups among community dwelling women.MethodsThe study sample included a total of 669 women from the Women's Injury Study, a 5-year prospective cohort study conducted from 2007 in the Southwest Central region of the US. Pedometer-based step-count data across 18 consecutive months were fitted to a latent growth model (LGM) and a latent class growth model (LCGM). Baseline characteristics were regressed on latent class membership.ResultsThe longitudinal change in PA was best fit to a piecewise LGM with seasonal transitions. Significantly increased and decreased levels of PA were observed during the spring, fall, and winter, respectively (p&thinsp;<&thinsp;0.001). Three latent subgroups with distinct PA trajectories were identified (low-active (46.8%), somewhat-active (41.3%), and active (11.9%)). Age and body fat percentage at the baseline significantly explained the likelihoods of being in low-active subgroup.ConclusionSeasonal variations in PA among women were observed but may not be practically significant. A relatively large portion of the sample showed low levels of PA for long periods. Intervention strategies should be considered for women who are overweight or obese, and aged >40 years old to promote PA during the life course.