Integrated Social- and Neurocognitive Model of Physical Activity Behavior in Older Adults with Metabolic Disease

Erin A. Olson, Sean P. Mullen, Lauren B. Raine, Arthur F. Kramer, Charles H. Hillman, Edward McAuley

Research output: Contribution to journalArticle

Abstract

Background: Despite the proven benefits of physical activity to treat and prevent metabolic diseases, such as diabetes (T2D) and metabolic syndrome (MetS), most individuals with metabolic disease do not meet physical activity (PA) recommendations. PA is a complex behavior requiring substantial motivational and cognitive resources. The purpose of this study was to examine social cognitive and neuropsychological determinants of PA behavior in older adults with T2D and MetS. The hypothesized model theorized that baseline self-regulatory strategy use and cognitive function would indirectly influence PA through self-efficacy. Methods: Older adults with T2D or MetS (Mage = 61.8 ± 6.4) completed either an 8-week physical activity intervention (n = 58) or an online metabolic health education course (n = 58) and a follow-up at 6 months. Measures included cognitive function, self-efficacy, self-regulatory strategy use, and PA. Results: The data partially supported the hypothesized model (χ2 = 158.535(131), p > .05, comparative fit index = .96, root mean square error of approximation = .04, standardized root mean square residual = .06) with self-regulatory strategy use directly predicting self-efficacy (β = .33, p < .05), which in turn predicted PA (β = .21, p < .05). Performance on various cognitive function tasks predicted PA directly and indirectly via self-efficacy. Baseline physical activity (β = .62, p < .01) and intervention group assignment via self-efficacy (β = −.20, p < .05) predicted follow-up PA. The model accounted for 54.4 % of the variance in PA at month 6. Conclusions: Findings partially support the hypothesized model and indicate that select cognitive functions (i.e., working memory, inhibition, attention, and task-switching) predicted PA behavior 6 months later. Future research warrants the development of interventions targeting cognitive function, self-regulatory skill development, and self-efficacy enhancement. Trial Registration Number: The trial was registered with the clinical trial number NCT01790724.

Original languageEnglish (US)
Pages (from-to)272-281
Number of pages10
JournalAnnals of Behavioral Medicine
Volume51
Issue number2
DOIs
StatePublished - Apr 1 2017

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Metabolic Diseases
Self Efficacy
Cognition
Short-Term Memory
Health Education
Clinical Trials
Research

Keywords

  • Behavioral adherence
  • Cognitive function
  • Older adults
  • Physical activity
  • Self-regulatory capacity
  • Type 2 diabetes

ASJC Scopus subject areas

  • Psychology(all)
  • Psychiatry and Mental health

Cite this

Integrated Social- and Neurocognitive Model of Physical Activity Behavior in Older Adults with Metabolic Disease. / Olson, Erin A.; Mullen, Sean P.; Raine, Lauren B.; Kramer, Arthur F.; Hillman, Charles H.; McAuley, Edward.

In: Annals of Behavioral Medicine, Vol. 51, No. 2, 01.04.2017, p. 272-281.

Research output: Contribution to journalArticle

Olson, Erin A. ; Mullen, Sean P. ; Raine, Lauren B. ; Kramer, Arthur F. ; Hillman, Charles H. ; McAuley, Edward. / Integrated Social- and Neurocognitive Model of Physical Activity Behavior in Older Adults with Metabolic Disease. In: Annals of Behavioral Medicine. 2017 ; Vol. 51, No. 2. pp. 272-281.
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abstract = "Background: Despite the proven benefits of physical activity to treat and prevent metabolic diseases, such as diabetes (T2D) and metabolic syndrome (MetS), most individuals with metabolic disease do not meet physical activity (PA) recommendations. PA is a complex behavior requiring substantial motivational and cognitive resources. The purpose of this study was to examine social cognitive and neuropsychological determinants of PA behavior in older adults with T2D and MetS. The hypothesized model theorized that baseline self-regulatory strategy use and cognitive function would indirectly influence PA through self-efficacy. Methods: Older adults with T2D or MetS (Mage = 61.8 ± 6.4) completed either an 8-week physical activity intervention (n = 58) or an online metabolic health education course (n = 58) and a follow-up at 6 months. Measures included cognitive function, self-efficacy, self-regulatory strategy use, and PA. Results: The data partially supported the hypothesized model (χ2 = 158.535(131), p > .05, comparative fit index = .96, root mean square error of approximation = .04, standardized root mean square residual = .06) with self-regulatory strategy use directly predicting self-efficacy (β = .33, p < .05), which in turn predicted PA (β = .21, p < .05). Performance on various cognitive function tasks predicted PA directly and indirectly via self-efficacy. Baseline physical activity (β = .62, p < .01) and intervention group assignment via self-efficacy (β = −.20, p < .05) predicted follow-up PA. The model accounted for 54.4 {\%} of the variance in PA at month 6. Conclusions: Findings partially support the hypothesized model and indicate that select cognitive functions (i.e., working memory, inhibition, attention, and task-switching) predicted PA behavior 6 months later. Future research warrants the development of interventions targeting cognitive function, self-regulatory skill development, and self-efficacy enhancement. Trial Registration Number: The trial was registered with the clinical trial number NCT01790724.",
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AU - Hillman, Charles H.

AU - McAuley, Edward

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N2 - Background: Despite the proven benefits of physical activity to treat and prevent metabolic diseases, such as diabetes (T2D) and metabolic syndrome (MetS), most individuals with metabolic disease do not meet physical activity (PA) recommendations. PA is a complex behavior requiring substantial motivational and cognitive resources. The purpose of this study was to examine social cognitive and neuropsychological determinants of PA behavior in older adults with T2D and MetS. The hypothesized model theorized that baseline self-regulatory strategy use and cognitive function would indirectly influence PA through self-efficacy. Methods: Older adults with T2D or MetS (Mage = 61.8 ± 6.4) completed either an 8-week physical activity intervention (n = 58) or an online metabolic health education course (n = 58) and a follow-up at 6 months. Measures included cognitive function, self-efficacy, self-regulatory strategy use, and PA. Results: The data partially supported the hypothesized model (χ2 = 158.535(131), p > .05, comparative fit index = .96, root mean square error of approximation = .04, standardized root mean square residual = .06) with self-regulatory strategy use directly predicting self-efficacy (β = .33, p < .05), which in turn predicted PA (β = .21, p < .05). Performance on various cognitive function tasks predicted PA directly and indirectly via self-efficacy. Baseline physical activity (β = .62, p < .01) and intervention group assignment via self-efficacy (β = −.20, p < .05) predicted follow-up PA. The model accounted for 54.4 % of the variance in PA at month 6. Conclusions: Findings partially support the hypothesized model and indicate that select cognitive functions (i.e., working memory, inhibition, attention, and task-switching) predicted PA behavior 6 months later. Future research warrants the development of interventions targeting cognitive function, self-regulatory skill development, and self-efficacy enhancement. Trial Registration Number: The trial was registered with the clinical trial number NCT01790724.

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