Evan Plys1,2, Sara H Qualls1,3. 1. Department of Psychology, University of Colorado, Colorado Springs, CO, USA. 2. General Internal Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. 3. Gerontology Center, University of Colorado, Colorado Springs, CO, USA.
Abstract
Objectives: Programmed activities contribute to the quality of life of assisted living (AL) residents, but attendance rates are often quite low. Using the theory of planned behavior (TPB), this study explores relationships among social cognitive variables, multidimensional health factors, and programmed activity attendance in AL. Methods: In a cross-sectional survey, 185 AL residents (Mage = 83.64, SD = 9.64) self-reported physical and mental health; TPB constructs (i.e., attitudes, subjective norms, behavioral control, and behavioral intention); and the percentage of programmed activities attended in the previous week. Results: Structural modeling showed that TPB was a good fit for the data (χ2/DF = 1.67; CFI = .97; TLI = .96; RMSEA = .06), explaining 82% of variance in behavioral intention and 44% of variance in activity attendance. After adding health factors to the model, only mental health yielded a significant indirect effect on activity attendance. Conclusion: Results provide preliminary support for the viability of TPB as a framework to explain resident activity attendance in AL. Thus, the decision to attend programmed activities in AL may represent a social cognitive process, influenced by mental health.Clinical Implications: Interventions may consider targeting TPB constructs and mental health to increase activity behaviors amongst AL residents.
Objectives: Programmed activities contribute to the quality of life of assisted living (AL) residents, but attendance rates are often quite low. Using the theory of planned behavior (TPB), this study explores relationships among social cognitive variables, multidimensional health factors, and programmed activity attendance in AL. Methods: In a cross-sectional survey, 185 AL residents (Mage = 83.64, SD = 9.64) self-reported physical and mental health; TPB constructs (i.e., attitudes, subjective norms, behavioral control, and behavioral intention); and the percentage of programmed activities attended in the previous week. Results: Structural modeling showed that TPB was a good fit for the data (χ2/DF = 1.67; CFI = .97; TLI = .96; RMSEA = .06), explaining 82% of variance in behavioral intention and 44% of variance in activity attendance. After adding health factors to the model, only mental health yielded a significant indirect effect on activity attendance. Conclusion: Results provide preliminary support for the viability of TPB as a framework to explain resident activity attendance in AL. Thus, the decision to attend programmed activities in AL may represent a social cognitive process, influenced by mental health.Clinical Implications: Interventions may consider targeting TPB constructs and mental health to increase activity behaviors amongst AL residents.
Entities:
Keywords:
Theory of planned behavior; activity; assisted living; leisure; recreation; structural equation modeling
Authors: Kimberlee A Gretebeck; David R Black; Carolyn L Blue; Lawrence T Glickman; Sally A Huston; Randall J Gretebeck Journal: Am J Health Behav Date: 2007 Mar-Apr
Authors: Ryan E Rhodes; Kerry S Courneya; Chris M Blanchard; Ronald C Plotnikoff Journal: Int J Behav Nutr Phys Act Date: 2007-10-31 Impact factor: 6.457