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Table 3 Summary table of literature exploring physical activity correlates and predictors among BCS

From: Theory-and evidence-based development and process evaluation of the Move More for Lifeprogram: a tailored-print intervention designed to promote physical activity among post-treatment breast cancer survivors

Income • (+) Cross-sectional. Higher income associated with increased PA [33]
Age • (+) Longitudinal. Younger age associated with lower PA post diagnosis [46]
• (/) Cross-sectional. Age not associated with meeting the guidelines [47]
• (/) Intervention study. Age not associated with exercise adherence [48]
Education • (/) Intervention study. Education did not predict exercise adherence [48]
Marital status • (/) Intervention study. Marital status did not predict exercise adherence [48]
Health status  
Co-morbidities • (-) Cross-sectional. Higher co-morbidity associated with lower PA [47]
Weight • (+) Longitudinal. Normal weight pre-diagnosis associated with less PA post-diagnosis [46]
• (-) Cross-sectional. Higher BMI associated with reduced likelihood of exercising [47]
Cross-sectional. Lower sense of exercise self-efficacy among women who were overweight [49]
HRQL • (+) Cross-sectional .Poorer HRQL was related to relapsing from active exercising to not exercising [50]
Longitudinal. HRQL (mental scale) significant predictor of rate of change of PA [51]
Fatigue • (-) Longitudinal. Fatigue associated with lower PA at baseline but not associated with rate of change in PA [51].
Time since diagnosis • (/) Intervention study. Time since diagnosis did not predict exercise adherence [48]
Stage of cancer • (/) Intervention study. Stage of cancer did not predict exercise adherence [48]
Social cognitive
Self-efficacy • (+)Cross-sectional. Self-efficacy association with positive exercise changes [49]
Cross-sectional. Self-efficacy correlated with current PA levels independent of pre-treatment PA levels [31].
• (+) Cross-sectional. Task self-efficacy highly predictive for both PA and exercise in the overall sample and in the subgroup of younger women. Barrier self-efficacy followed the same trend [47]
• (+) Intervention study. Baseline self-efficacy significant predictor of mean minutes of weekly exercise and of meeting weekly goals. [48].
Social support • (+) Cross-sectional. Having an exercise partner or role model associated with increased PA [33]
• (+) Longitudinal. Family support predicts change in PA behaviour [51]
• (+) Cross-sectional. Perceived social support related to increases in PA after diagnosis, even up to five years later [52]
• (/) Longitudinal. Social support of friend (not exercise specific) not a predictor of PA at baseline [51]
Intention • (+) Cross-sectional. Intention significantly predicted PA behaviour [53]
Cross-sectional. Intention explained 35% of the variance in exercise adherence [54]
Personality • (+) Cross-sectional. Neurotic breast cancer survivors more like to relapse [43]
• (+) Intervention study. Extraversion related to increased exercise [44]
• (+) Cross-sectional. Optimism related to reports of increased exercise frequency in the past 6 months, although the amount of variance accounted for was small [45]
Perceived control • (/) Cross-sectional. General locus of control unrelated to improvements in survivors PA [55]
Outcome expectation • (+) Cross-sectional. Outcome Expectations significant predictor of PA and exercise in [47]
• (+) Mediation analysis. Positive beliefs about PA and cancer recurrence are related to increased PA levels [56]
Decisional balance • (/) Cross-sectional. Decisional balance did not predict exercise adherence [57]
Physical activity behaviour
Pre-diagnosis PA level • (-) Longitudinal. Women reporting more PA pre diagnosis had lower levels of PA post diagnosis [46]
• (+) Cross-sectional. Prior exercise was a significant positive predictor of overall PA [47]
Cross-sectional. Direct association with Pre-treatment PA level and current PA level [31]
Baseline PA level • (+) Intervention study. Baseline PA a significant predictor of mean minutes of weekly exercise [48]