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

Youngdeok Kim, Minsoo Kang, Anna M. Tacón, James R. Morrow

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Purpose 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. Methods The 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. Results The 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 < 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. Conclusion Seasonal 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.

Original languageEnglish
Pages (from-to)410-416
Number of pages7
JournalJournal of Sport and Health Science
Volume5
Issue number4
DOIs
StatePublished - Dec 1 2016

Keywords

  • Female
  • Pedometer
  • Prospective cohort
  • Season
  • Step-count

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