TY - JOUR
T1 - Longitudinal Patterns of Physical Activity among Older Adults
T2 - A Latent Transition Analysis
AU - Mooney, Stephen J.
AU - Joshi, Spruha
AU - Cerdá, Magdalena
AU - Kennedy, Gary J.
AU - Beard, John R.
AU - Rundle, Andrew G.
N1 - Funding Information:
Author affiliations: Harborview Injury Prevention & Research Center, University of Washington, Seattle, Washington (Stephen J. Mooney); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota (Spruha Joshi); Department of Emergency Medicine, School of Medicine, University of California, Davis and UC Davis Health System, Davis, California (Magdalena Cerdá); Albert Einstein College of Medicine, New York, New York (Gary J. Kennedy); Department of Ageing and Life Course, World Health Organization, Geneva, Switzerland (John R. Beard); and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York (Andrew G. Rundle). S.J.M. was supported by Eunice Kennedy Shriver National Institute of Child Health and Human Development grant 5T32HD057822-07. S.J., M.C., G.J.K., J.R.B., and A.G.R. were supported by National Institute of Mental Health grant 5R01MH085132-05.
Publisher Copyright:
© The Author(s) 2018.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - 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.
AB - 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.
KW - aging
KW - latent class analysis
KW - latent transition analysis
KW - older adults
KW - physical activity patterns
KW - walking
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U2 - 10.1093/aje/kwy027
DO - 10.1093/aje/kwy027
M3 - Article
C2 - 29762655
AN - SCOPUS:85051425671
SN - 0002-9262
VL - 187
SP - 1549
EP - 1558
JO - American Journal of Epidemiology
JF - American Journal of Epidemiology
IS - 7
ER -