A M Chuan Ling1, C Horwath. 1. Department of Nutrition, Level 5, Institute of Health, Singapore 168937. Annie_LING@MOH.gov.sg
Abstract
OBJECTIVE: To develop and validate scales to assess perceived benefits and barriers (decisional balance) for increasing fruit and vegetable consumption. DESIGN: A cross-sectional mail and telephone survey was conducted. SUBJECTS/SETTINGS: A total of 1200 Chinese households were randomly selected from the Singapore residential telephone listings, and 71% responded to the mail survey; 390 males and 406 females participated (mean age = 39.3). MAIN OUTCOME MEASURES: Decisional balance, stage of change, and fruit and vegetable consumption were measured. STATISTICAL ANALYSES PERFORMED: Using a split-half sample approach, developmental sample responses were analyzed by principal-components analysis and validation sample responses by confirmatory factor analysis. Analyses of variance were used to examine stage differences in decisional balance. RESULTS: Principal-components analysis indicated two components representing benefits (or pros) (Cronbach's alpha = 0.86) and barriers (or cons) (alpha 0.79) of change. Confirmatory factor analysis strongly supported the two-component structure (Goodness of Fit Index = 0.97). There was a shift from cons to pros being more important across the stages. The increase in pros across the stages of change (p < 0.0001) corresponded to a medium effect size, and the decrease in cons (p < 0.01) corresponded to a small effect size. IMPLICATIONS: Decisional balance scales may be used to guide interventions to influence fruit and vegetable consumption.
OBJECTIVE: To develop and validate scales to assess perceived benefits and barriers (decisional balance) for increasing fruit and vegetable consumption. DESIGN: A cross-sectional mail and telephone survey was conducted. SUBJECTS/SETTINGS: A total of 1200 Chinese households were randomly selected from the Singapore residential telephone listings, and 71% responded to the mail survey; 390 males and 406 females participated (mean age = 39.3). MAIN OUTCOME MEASURES: Decisional balance, stage of change, and fruit and vegetable consumption were measured. STATISTICAL ANALYSES PERFORMED: Using a split-half sample approach, developmental sample responses were analyzed by principal-components analysis and validation sample responses by confirmatory factor analysis. Analyses of variance were used to examine stage differences in decisional balance. RESULTS: Principal-components analysis indicated two components representing benefits (or pros) (Cronbach's alpha = 0.86) and barriers (or cons) (alpha 0.79) of change. Confirmatory factor analysis strongly supported the two-component structure (Goodness of Fit Index = 0.97). There was a shift from cons to pros being more important across the stages. The increase in pros across the stages of change (p < 0.0001) corresponded to a medium effect size, and the decrease in cons (p < 0.01) corresponded to a small effect size. IMPLICATIONS: Decisional balance scales may be used to guide interventions to influence fruit and vegetable consumption.