title: Patterns of Physical Activity Among Older Adults in New York City: A Latent Class Approach.
abstract: BACKGROUND
  Little research to date has explored typologies of physical activity among older adults. An understanding of physical activity patterns may help to both determine the health benefits of different types of activity and target interventions to increase activity levels in older adults. This analysis, conducted in 2014, used a latent class analysis approach to characterize patterns of physical activity in a cohort of older adults.
  
  
  METHODS
  A total of 3,497 men and women aged 65-75 years living in New York City completed the Physical Activity Scale for the Elderly (PASE) in 2011. PASE scale items were used to classify subjects into latent classes. Multinomial regression was then used to relate individual and neighborhood characteristics to class membership.
  
  
  RESULTS
  Five latent classes were identified: "least active," "walkers," "domestic/gardening," "athletic," and "domestic/gardening athletic." Individual-level predictors, including more education, higher income, and better self-reported health, were associated with membership in the more-active classes, particularly the athletic classes. Residential characteristics, including living in single-family housing and living in the lower-density boroughs of New York City, were predictive of membership in one of the domestic/gardening classes. Class membership was associated with BMI even after controlling for total PASE score.
  
  
  CONCLUSIONS
  This study suggests that individual and neighborhood characteristics are associated with distinct physical activity patterns in a group of older urban adults. These patterns are associated with body habitus independent of overall activity.
authors.affiliation: Department of Epidemiology, Mailman School of Public Health, Columbia University, New York.
authors.forename: Stephen J
authors.initials: SJ
authors.lastname: Mooney
authors.affiliation: Department of Epidemiology, Mailman School of Public Health, Columbia University, New York.
authors.forename: Spruha
authors.initials: S
authors.lastname: Joshi
authors.affiliation: Department of Epidemiology, Mailman School of Public Health, Columbia University, New York.
authors.forename: Magdalena
authors.initials: M
authors.lastname: Cerdá
authors.affiliation: Department of Epidemiology, Mailman School of Public Health, Columbia University, New York.
authors.forename: James W
authors.initials: JW
authors.lastname: Quinn
authors.affiliation: School of Public Health, University of Sydney, Sydney, Australia.
authors.forename: John R
authors.initials: JR
authors.lastname: Beard
authors.affiliation: Department of Psychiatry and Behavioral Sciences, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York.
authors.forename: Gary J
authors.initials: GJ
authors.lastname: Kennedy
authors.affiliation: Center for Evaluation and Applied Research, The New York Academy of Medicine, New York.
authors.forename: Ebele O
authors.initials: EO
authors.lastname: Benjamin
authors.affiliation: Global Institute of Public Health and Center for Health, Identity, Behavior, and Prevention Studies, New York University, New York.
authors.forename: Danielle C
authors.initials: DC
authors.lastname: Ompad
authors.affiliation: Department of Epidemiology, Mailman School of Public Health, Columbia University, New York. Electronic address: agr3@columbia.edu.
authors.forename: Andrew G
authors.initials: AG
authors.lastname: Rundle
mesh_terms: D000368:Aged; D015444:Exercise; D005260:Female; D015438:Health Behavior; D006801:Humans; D008297:Male; D009043:Motor Activity; D009519:New York City; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D014505:Urban Population / Q000706:statistics & numerical data*