Literature DB >> 27505202

Self-reported and automatic cognitions are associated with exercise behavior in cancer survivors.

Romano Endrighi1, Karen Basen-Engquist2, Edwin Szeto1, Heidi Perkins3, George Baum2, Matthew Cox-Martin2, Jessica M MacIntyre1, Andrew J Waters1.   

Abstract

OBJECTIVE: Physical activity is beneficial for cancer survivors, but exercise participation is low in this population. It is therefore important to understand the psychological factors underlying exercise uptake so that more effective interventions can be developed. Social-cognitive theory constructs such as outcome expectancies predict exercise behavior, but self-report measures have several limitations. We examined the associations between implicit (automatic) cognitions and exercise behavior and self-efficacy in endometrial cancer survivors.
METHOD: This was a longitudinal study to examine predictors of exercise behavior in female endometrial cancer survivors who all received an exercise intervention. Participants (N = 100, mean age of 57.0) completed questionnaires to assess self-report exercise-related measures (outcome expectancy and attitudes about and identification with exercise) and reaction time (RT) tasks to assess implicit exercise cognitions (expectancy accessibility, implicit attitudes about exercise, and implicit self-identification with exercise) at baseline and at 2, 4, and 6 months at follow-up. Exercise behavior was measured using accelerometers and self-report. Data were analyzed using linear mixed models.
RESULTS: Expectancy accessibility was associated with exercise duration independent of the corresponding self-report measure. Exercise implicit attitudes and self-identification were prospectively associated with exercise self-efficacy only after adjustment for the corresponding self-report measures and baseline self-efficacy. Self-report measures were also associated with study outcomes.
CONCLUSIONS: Both self-reported cognitions and implicit cognitions may be useful to identify individuals at risk of failing to exercise. Individuals so identified might be provided with a different or more intensive intervention. The data also suggest cognitive targets for intervention. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

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Year:  2016        PMID: 27505202      PMCID: PMC5385125          DOI: 10.1037/hea0000385

Source DB:  PubMed          Journal:  Health Psychol        ISSN: 0278-6133            Impact factor:   4.267


  21 in total

1.  Mode of physical activity and self-efficacy in older adults: a latent growth curve analysis.

Authors:  E McAuley; J Katula; S L Mihalko; B Blissmer; T E Duncan; M Pena; E Dunn
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  1999-09       Impact factor: 4.077

Review 2.  Implicit measures in social cognition. research: their meaning and use.

Authors:  Russell H Fazio; Michael A Olson
Journal:  Annu Rev Psychol       Date:  2002-06-10       Impact factor: 24.137

3.  American College of Sports Medicine position stand. Exercise and physical activity for older adults.

Authors:  Wojtek J Chodzko-Zajko; David N Proctor; Maria A Fiatarone Singh; Christopher T Minson; Claudio R Nigg; George J Salem; James S Skinner
Journal:  Med Sci Sports Exerc       Date:  2009-07       Impact factor: 5.411

4.  Associations between visual attention, implicit and explicit attitude and behaviour for physical activity.

Authors:  Raff Calitri; Rob Lowe; Frank F Eves; Paul Bennett
Journal:  Psychol Health       Date:  2009-11

5.  The impact of automatically activated motivation on exercise-related outcomes.

Authors:  Lauren K Banting; James A Dimmock; J Robert Grove
Journal:  J Sport Exerc Psychol       Date:  2011-08       Impact factor: 3.016

6.  Outcome expectations, expectancy accessibility, and exercise in endometrial cancer survivors.

Authors:  Heidi Y Perkins; Andrew J Waters; George P Baum; Karen M Basen-Engquist
Journal:  J Sport Exerc Psychol       Date:  2009-12       Impact factor: 3.016

7.  Changing human behavior to prevent disease: the importance of targeting automatic processes.

Authors:  Theresa M Marteau; Gareth J Hollands; Paul C Fletcher
Journal:  Science       Date:  2012-09-21       Impact factor: 47.728

8.  Modeling mood variation associated with smoking: an application of a heterogeneous mixed-effects model for analysis of ecological momentary assessment (EMA) data.

Authors:  Donald Hedeker; Robin J Mermelstein; Michael L Berbaum; Richard T Campbell
Journal:  Addiction       Date:  2009-02       Impact factor: 6.526

9.  Psychosocial mediators of physical activity behavior among adults and children.

Authors:  Beth A Lewis; Bess H Marcus; Russell R Pate; Andrea L Dunn
Journal:  Am J Prev Med       Date:  2002-08       Impact factor: 5.043

10.  Home-based exercise among cancer survivors: adherence and its predictors.

Authors:  Bernardine M Pinto; Carolyn Rabin; Shira Dunsiger
Journal:  Psychooncology       Date:  2009-04       Impact factor: 3.894

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  5 in total

Review 1.  Behavioral and Neural Evidence of the Rewarding Value of Exercise Behaviors: A Systematic Review.

Authors:  Boris Cheval; Rémi Radel; Jason L Neva; Lara A Boyd; Stephan P Swinnen; David Sander; Matthieu P Boisgontier
Journal:  Sports Med       Date:  2018-06       Impact factor: 11.136

2.  A Systematic Review and Meta-analysis of the Outcome Expectancy Construct in Physical Activity Research.

Authors:  Lauren Connell Bohlen; Jessica A Emerson; Ryan E Rhodes; David M Williams
Journal:  Ann Behav Med       Date:  2022-07-12

3.  Do implicit attitudes toward physical activity and sedentary behavior prospectively predict objective physical activity among persons with obesity?

Authors:  Guillaume Chevance; Johan Caudroit; Thomas Henry; Philippe Guerin; Julie Boiché; Nelly Héraud
Journal:  J Behav Med       Date:  2017-09-07

4.  Automatic Evaluations and Exercising: Systematic Review and Implications for Future Research.

Authors:  Michaela Schinkoeth; Franziska Antoniewicz
Journal:  Front Psychol       Date:  2017-12-01

5.  A longitudinal study on how implicit attitudes and explicit cognitions synergistically influence physical activity intention and behavior.

Authors:  Carolin Muschalik; Iman Elfeddali; Math J J M Candel; Hein de Vries
Journal:  BMC Psychol       Date:  2018-04-25
  5 in total

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