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Predicting Decisional Determinants of Physical Activity Among Older Adults: An Integrated Behavior Approach.

Christian Erik PreissnerKathleen CharlesBärbel KnäuperNavin Kaushal
Published in: Journal of aging and health (2021)
ObjectivesThe present study applied the Integrated Behavior Change Model to investigate how behavioral decisions are predicted, namely, intention, planning, and habits, with respect to physical activity. Methods: Participants were older adults (ages 65+) residing in the U.S. (N = 667) who completed online measures of behavioral determinants (autonomous motivation, perceived behavioral control, subjective norms, attitudes, intention, habit, and consistency), in addition to past behavior. Results: A structural equation model revealed that intention was predicted by past behavior and social-cognitive determinants. Social cognitive determinants mediated between past behavior and habit, as well as between autonomous motivation and habit. Intention mediated between past behavior and planning. Discussion: This study highlights the importance of multiple processes (social cognitive, habit/automatic, and post-intentional/planning) that formulate physical activity intentions. Mediation pathways revealed the importance of autonomous motivation for establishing intentions and habit. Facilitating these processes among older adults could be effective for promoting physical activity.
Keyphrases
  • physical activity
  • mental health
  • healthcare
  • body mass index
  • sleep quality
  • social support
  • machine learning
  • depressive symptoms
  • deep learning
  • health information