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This cross-sectional study of 504 community-dwelling Australian adults (328 females, 176 males, mean age 50.8 ± 13.0 years) sought to examine the reliability and validity of measurement scales for physical activity (PA) self-efficacy and outcome expectations. Participants completed demographic and anthropometric measurements, and a 23-item psychosocial questionnaire pertinent to an intervention target of 10,000 steps per day. Exploratory (n = 252) and confirmatory (n = 252) factor analyses were conducted to determine psychometric properties of the measures. Based on theory and goodness-of-fit indices, six factors were extracted from the questionnaire: PA self-efficacy; PA barriers self-efficacy (including general, personal, and conflict); and physical and mental outcome expectations. From confirmatory factor analysis, the model demonstrated good data fit in four out of five indices: CFI = 0.99; TLI = 0.99; SRMR = 0.03; RMSEA = 0.03, 90%CI = 0.01-0.05, χ2 = 113.14 (88), p = 0.04; including good fit by sex, age, weight status, education, and birth country. PA interventions can employ our psychometrically sound social cognitive measures. [ABSTRACT FROM AUTHOR]

Objectives: To assess the effects of a 12-week pedometer-based intervention on the physical activity behavior, health-related quality of life (HRQOL), and psychological well-being of first-year university students. Participants: First-year university students (N = 184) were recruited during September 2012 and randomly assigned to an intervention or a control group. Methods: Intervention participants were provided with a pedometer, monthly tracking logs, and follow-up e-mails. Control participants received no intervention. Physical activity, HRQOL, and psychological well-being were measured at baseline and post intervention. Data were analyzed using multivariate/univariate analysis of variance (MANOVA/ANOVA). Results: All participants experienced an increase in mild physical activity (p <.01) from baseline to follow-up. The intervention failed to produce significant differences between groups for physical activity (p =.28), HRQOL (p =.80), or psychological well-being (p =.72). Psychological well-being (p <.001), vigorous physical activity (p =.04), and mental health status (p <.001) decreased across the duration of the study. Conclusions: More intensive interventions may be required to elicit physical activity behavior change. [ABSTRACT FROM AUTHOR]