Literature DB >> 15921488

Physical activity staging distribution: establishing a heuristic using multiple studies.

C Nigg1, L Hellsten, G Norman, L Braun, R Breger, P Burbank, M Coday, D Elliot, C Garber, M Greaney, S Keteyian, F Lees, C Matthews, E Moe, B Resnick, D Riebe, J Rossi, D Toobert, T Wang, G Welk, G Williams.   

Abstract

The purpose of this study was to identify the population prevalence across the stages of change (SoC) for regular physical activity and to establish the prevalence of people at risk. With support from the National Institutes of Health, the American Heart Association, and the Robert Wood Johnson Foundation, nine Behavior Change Consortium studies with a common physical activity SoC measure agreed to collaborate and share data. The distribution pattern identified in these predominantly reactively recruited studies was Precontemplation (PC) = 5% (+/- 10), Contemplation (C) = 10% (+/- 10), Preparation (P) = 40% (+/- 10), Action = 10% (+/- 10), and Maintenance = 35% (+/- 10). With reactively recruited studies, it can be anticipated that there will be a higher percentage of the sample that is ready to change and a greater percentage of currently active people compared to random representative samples. The at-risk stage distribution (i.e., those not at criteria or PC, C, and P) was approximately 10% PC, 20% C, and 70% P in specific samples and approximately 20% PC, 10% C, and 70% P in the clinical samples. Knowing SoC heuristics can inform public health practitioners and policymakers about the population's motivation for physical activity, help track changes over time, and assist in the allocation of resources.

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Year:  2005        PMID: 15921488     DOI: 10.1207/s15324796abm2902s_7

Source DB:  PubMed          Journal:  Ann Behav Med        ISSN: 0883-6612


  6 in total

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Journal:  Int J Behav Med       Date:  2014-04

2.  Self-Efficacy for Adoption and Maintenance of Exercise Among Fibromyalgia Patients: A Pilot Study.

Authors:  Erica R Scioli-Salter; Brian N Smith; Savannah McSheffrey; Matthew J Bair; Marie A Sillice; Mary Driscoll; Diana M Higgins; Kelly Allsup; Aneline Amalathas; Megan R Gerber
Journal:  Am J Lifestyle Med       Date:  2017-12-12

3.  A Research Agenda to Examine the Efficacy and Relevance of the Transtheoretical Model for Physical Activity Behavior.

Authors:  Claudio R Nigg; Karly S Geller; Rob W Motl; Caroline C Horwath; Kristin K Wertin; Rodney K Dishman
Journal:  Psychol Sport Exerc       Date:  2011-01

4.  Impact of the HealthMatters Train-the-Trainer Program on the Health and Health Behaviors of Staff Supporting Adults With Intellectual and Developmental Disabilities.

Authors:  Beth Marks; Jasmina Sisirak; Yen-Ching Chang; Ryan Murphy
Journal:  Workplace Health Saf       Date:  2019-04-21       Impact factor: 1.413

5.  Stages of Change--continuous measure (URICA-E2): psychometrics of a Norwegian version.

Authors:  Anners Lerdal; Britt Moe; Elin Digre; Thomas Harding; Frode Kristensen; Ellen K Grov; Linda N Bakken; Marthe L Eklund; Ireen Ruud; Joseph S Rossi
Journal:  J Adv Nurs       Date:  2008-11-14       Impact factor: 3.187

6.  Matched or nonmatched interventions based on the transtheoretical model to promote physical activity. A meta-analysis of randomized controlled trials.

Authors:  Ahmed Jerôme Romain; Catherine Bortolon; Mathieu Gourlan; Marion Carayol; Emmanuelle Decker; Olivier Lareyre; Grégory Ninot; Julie Boiché; Paquito Bernard
Journal:  J Sport Health Sci       Date:  2016-10-24       Impact factor: 7.179

  6 in total

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