PURPOSE: Develop and demonstrate preliminary validation of a brief questionnaire aimed at assessing social cognitive determinants of physical activity (PA) in a college population. DESIGN: Quantitative and observational. SETTING: A midsized northeastern university. SUBJECTS: Convenience sample of 827 male and female college students age 18 to 24 years. MEASURES: International Physical Activity Questionnaire and a PA stage-of-change algorithm. ANALYSIS: A sequential process of survey development, including item generation and data reduction analyses by factor analysis, was followed with the goal of creating a parsimonious questionnaire. Structural equation modeling was used for confirmatory factor analysis and construct validation was confirmed against self-reported PA and stage of change. Validation analyses were replicated in a second, independent sample of 1032 college students. RESULTS: Fifteen items reflecting PA self-regulation, outcome expectations, and personal barriers explained 65% of the questionnaire data and explained 28.6% and 39.5% of the variance in total PA and moderate-to-vigorous-intensity PA, respectively. Scale scores were distinguishable across the stages of change. Findings were similar when the Cognitive Behavioral Physical Activity Questionnaire (CBPAQ) was tested in a similar and independent sample of college students (40%; R (2) moderate-to-vigorous-intensity PA = .40; p < .001). CONCLUSION: The CBPAQ successfully explains and predicts PA behavior in a college population, warranting its incorporation into future studies aiming at understanding and improving on PA behavior in college students.
PURPOSE: Develop and demonstrate preliminary validation of a brief questionnaire aimed at assessing social cognitive determinants of physical activity (PA) in a college population. DESIGN: Quantitative and observational. SETTING: A midsized northeastern university. SUBJECTS: Convenience sample of 827 male and female college students age 18 to 24 years. MEASURES: International Physical Activity Questionnaire and a PA stage-of-change algorithm. ANALYSIS: A sequential process of survey development, including item generation and data reduction analyses by factor analysis, was followed with the goal of creating a parsimonious questionnaire. Structural equation modeling was used for confirmatory factor analysis and construct validation was confirmed against self-reported PA and stage of change. Validation analyses were replicated in a second, independent sample of 1032 college students. RESULTS: Fifteen items reflecting PA self-regulation, outcome expectations, and personal barriers explained 65% of the questionnaire data and explained 28.6% and 39.5% of the variance in total PA and moderate-to-vigorous-intensity PA, respectively. Scale scores were distinguishable across the stages of change. Findings were similar when the Cognitive Behavioral Physical Activity Questionnaire (CBPAQ) was tested in a similar and independent sample of college students (40%; R (2) moderate-to-vigorous-intensity PA = .40; p < .001). CONCLUSION: The CBPAQ successfully explains and predicts PA behavior in a college population, warranting its incorporation into future studies aiming at understanding and improving on PA behavior in college students.
Entities:
Keywords:
College Students; Health focus: fitness/physical activity; Manuscript format: research; Outcome measure: behavioral; Physical Activity; Prevention Research; Questionnaire; Research purpose: instrument development; Setting: school; Social Cognitive Theories; Strategy: skill building/behavior change; Structural Equation Modeling; Study design: nonexperimental; Target population age: young adults; Target population circumstances: education/income level
Authors: Mary L Greaney; Faith D Less; Adrienne A White; Sarah F Dayton; Deborah Riebe; Bryan Blissmer; Suzanne Shoff; Jennifer R Walsh; Geoffrey W Greene Journal: J Nutr Educ Behav Date: 2009 Jul-Aug Impact factor: 3.045
Authors: J F Sallis; M F Hovell; C R Hofstetter; P Faucher; J P Elder; J Blanchard; C J Caspersen; K E Powell; G M Christenson Journal: Prev Med Date: 1989-01 Impact factor: 4.018
Authors: C E Lewis; D R Jacobs; H McCreath; C I Kiefe; P J Schreiner; D E Smith; O D Williams Journal: Am J Epidemiol Date: 2000-06-15 Impact factor: 4.897