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Purpose: To determine the associations of daily pedometer steps with health-related quality of life (HRQoL) and psychosocial health., Design: Cross-sectional., Setting: Alberta, Canada., Subjects: Three hundred eighty-five older-aged men 55 years of age and older., Measures: Subjects completed a mailed survey that assessed HRQoL (RAND-12 Health Status Inventory [RAND-12]), depression, anxiety, and satisfaction with life. Steps/day were assessed with a pedometer via a 3-day step-monitoring period., Analysis: Average pedometer steps/d were categorized into quartiles (Qs). The primary model assessed the association between average pedometer steps/d as the independent variable of interest and our dependent variables of interest (physical, mental, and global health component scores of the RAND-12)., Results: For HRQoL, all three adjusted models (i.e., physical, mental, and global health) indicated a significant linear trend between HRQoL indices across pedometer step Qs, with participants in Q3 and Q4 demonstrating higher physical, mental, and global health compared to participants in the lowest Q of pedometer steps (Q1) (all p < .05). For depression, significant differences were observed between Q1 and Q3 (Mdiff = 3.3, p = .006, η(2) = .019) and Q1 and Q4 (Mdiff = 2.7, p = .025, η(2) = .013)., Conclusion: Higher average steps/d were significantly associated with HRQoL across all domains. Older men in the higher Qs of pedometer steps/d reported less depressive symptoms compared to those in the lowest Q of pedometer steps/d.

The primary objective of this study was to investigate the utility of the two-component theory of planned behaviour (TPB) in understanding physical activity intentions and behaviour in rural and small town breast cancer survivors. The secondary objective was to elicit the most common behavioural, normative and control beliefs of rural and small town survivors regarding physical activity. Using a cross-sectional survey design, 524 rural and small town breast cancer survivors completed a mailed survey that assessed physical activity and TPB variables. Physical activity intention explained 12% of the variance in physical activity behaviour (p < 0.01) while the TPB constructs together explained 43% of the variance in physical activity intention (p < 0.01). Unique behavioural, normative and control beliefs were elicited from the sample. The two-component TPB framework appears to be a suitable model to initiate an understanding of physical activity determinants among rural and small town breast cancer survivors. These data can be used in the development and establishment of physical activity behaviour interventions and health promotion materials designed to facilitate physical activity behaviour among rural and small town breast cancer survivors.