TY - JOUR
T1 - Integrated Social- and Neurocognitive Model of Physical Activity Behavior in Older Adults with Metabolic Disease
AU - Olson, Erin A.
AU - Mullen, Sean P.
AU - Raine, Lauren B.
AU - Kramer, Arthur F.
AU - Hillman, Charles H.
AU - McAuley, Edward
N1 - Funding Information:
Research was funded by the National Institute on Aging: F31AG042232, R01AG0200118, 5T32AG023480-10; the Shahid Khan and Ann Carlson Khan Endowed Professorship; and the National Institute for AgricultureIllinois Transdisciplinary Obesity Prevention Program grant (2011-67001-30101) to the Division of Nutritional Sciences at the University of Illinois. Note: First author's current affiliation is McKinsey & Company, Denver, CO. All research was conducted at the University of Illinois.
Publisher Copyright:
© 2016, The Society of Behavioral Medicine.
PY - 2017/4/1
Y1 - 2017/4/1
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.
AB - 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.
KW - Behavioral adherence
KW - Cognitive function
KW - Older adults
KW - Physical activity
KW - Self-regulatory capacity
KW - Type 2 diabetes
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U2 - 10.1007/s12160-016-9850-4
DO - 10.1007/s12160-016-9850-4
M3 - Article
C2 - 27844326
AN - SCOPUS:84995474912
SN - 0883-6612
VL - 51
SP - 272
EP - 281
JO - Annals of Behavioral Medicine
JF - Annals of Behavioral Medicine
IS - 2
ER -