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Sports Medicine

, Volume 45, Issue 3, pp 423–441 | Cite as

Predictors of Physical Activity Change Among Adults Using Observational Designs

  • Ryan E. RhodesEmail author
  • Alison Quinlan
Systematic Review

Abstract

Background

Regular physical activity (PA) is foundational to human health, yet most people are inactive. A sound understanding of the determinants of PA may be instructive for building interventions and/or identifying critical target groups to promote PA. Most research on PA correlates has been biased by cross-sectional or passive prospective designs that fail to examine within-person analysis of PA change.

Objective

The purpose of this review was to collect and appraise the available literature on the predictors of PA change conceived broadly in terms of increases/decreases from baseline assessment as well as specifically in terms of adoption and maintenance.

Methods

Eligible studies were from English, peer-reviewed published articles that examined predictors of natural change of PA over 3 months + using observational (non-experimental) data in adult samples. Searches were performed from June 2012 to January 2014 in eight databases.

Results

Sixty-seven independent data-sets, from 12 countries, primarily of medium quality/risk of bias, were identified with 26 correlates spanning demographic, behavioral, intra-individual, inter-individual, and environmental categories. Only intention and the onset of motherhood could reliably predict overall PA change. Among datasets configured to predict PA adoption, affective judgments and behavioral processes of change were the only reliable predictors, although both only have a small number of available studies. There were no reliable predictors of maintenance when compared to PA relapse.

Conclusion

The results underscore the importance of individual-level motivation and behavioral regulation in PA change, but also denote critical social variables. These findings, however, are constrained by PA measurement bias and limited studies that employed time-varying covariation between predictor variables and PA.

Keywords

Physical Activity Total Physical Activity Null Finding Meaningful Relationship Physical Activity Change 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

RER is supported by a Canadian Cancer Society Senior Scientist Award and the Right to Give Foundation with additional funds from the Canadian Cancer Society, the Social Sciences and Humanities Research Council of Canada and the Canadian Institutes for Health Research. No sources of funding were used to assist in the preparation of this review. The authors have no potential conflicts of interest that are directly relevant to the content of this review.

Supplementary material

40279_2014_275_MOESM1_ESM.docx (49 kb)
Supplementary material 1 (DOCX 49 kb)
40279_2014_275_MOESM2_ESM.doc (70 kb)
Supplementary material 2 (DOC 70 kb)
40279_2014_275_MOESM3_ESM.doc (26 kb)
Supplementary material 3 (DOC 26 kb)
40279_2014_275_MOESM4_ESM.docx (44 kb)
Supplementary material 4 (DOCX 45 kb)

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Behavioural Medicine Laboratory, Faculty of EducationUniversity of VictoriaVictoriaCanada

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