A M Ling1, C Horwath. 1. Department of Nutrition, Ministry of Health, Singapore.
Abstract
PURPOSE: To develop and validate a scale to assess self-efficacy for increasing fruit and vegetable consumption, and to assess the ability of the scale to discriminate individuals at different stages of readiness to change. METHODS: Data were collected using a combination of self-administered mail questionnaires and phone interviews from a sample of 1200 Chinese Singaporeans randomly selected from residential phone listings. Principal-components analysis was conducted with half the sample, and model fit was measured using structural modeling procedures on the other half. Analyses of variance were used to determine whether self-efficacy differed across the stages of change. SETTING: Data were collected as part of a larger study investigating factors influencing consumption of fruit, vegetables, and cereal foods. MEASURES: Fruit and vegetable intake was measured using a validated seven-item food frequency questionnaire. Subjects were assigned to stages using a phone-administered staging algorithm. Self-efficacy items were scored on a five-point Likert scale from very confident to not at all confident. RESULTS: Principal-components analysis revealed a two-factor structure that was highly stable across two split-half samples and gender, and accounted for 57% of the variance in self-efficacy. The two factors demonstrated good internal consistency (Cronbach's alpha = 0.77 and 0.89), with loadings ranging from 0.59 to 0.86 (mean = 0.70). Confirmatory factor analysis demonstrated good model fit (goodness-of-fit index = 0.99), with all parameters significant. Scores on the scale were significantly higher among subjects assigned to maintenance than among those assigned to precontemplation, contemplation, and preparation. CONCLUSIONS: Results of this study provide preliminary evidence for the utility of the scale to guide development and monitoring of community programs and therapeutic interventions.
PURPOSE: To develop and validate a scale to assess self-efficacy for increasing fruit and vegetable consumption, and to assess the ability of the scale to discriminate individuals at different stages of readiness to change. METHODS: Data were collected using a combination of self-administered mail questionnaires and phone interviews from a sample of 1200 Chinese Singaporeans randomly selected from residential phone listings. Principal-components analysis was conducted with half the sample, and model fit was measured using structural modeling procedures on the other half. Analyses of variance were used to determine whether self-efficacy differed across the stages of change. SETTING: Data were collected as part of a larger study investigating factors influencing consumption of fruit, vegetables, and cereal foods. MEASURES: Fruit and vegetable intake was measured using a validated seven-item food frequency questionnaire. Subjects were assigned to stages using a phone-administered staging algorithm. Self-efficacy items were scored on a five-point Likert scale from very confident to not at all confident. RESULTS: Principal-components analysis revealed a two-factor structure that was highly stable across two split-half samples and gender, and accounted for 57% of the variance in self-efficacy. The two factors demonstrated good internal consistency (Cronbach's alpha = 0.77 and 0.89), with loadings ranging from 0.59 to 0.86 (mean = 0.70). Confirmatory factor analysis demonstrated good model fit (goodness-of-fit index = 0.99), with all parameters significant. Scores on the scale were significantly higher among subjects assigned to maintenance than among those assigned to precontemplation, contemplation, and preparation. CONCLUSIONS: Results of this study provide preliminary evidence for the utility of the scale to guide development and monitoring of community programs and therapeutic interventions.
Authors: Kristin L Schneider; Michael J Coons; H Gene McFadden; Christine A Pellegrini; Andrew DeMott; Juned Siddique; Donald Hedeker; Laura Aylward; Bonnie Spring Journal: Health Psychol Date: 2016-04-07 Impact factor: 4.267
Authors: Bonnie Spring; Kristin Schneider; H G McFadden; Jocelyn Vaughn; Andrea T Kozak; Malaina Smith; Arlen C Moller; Leonard Epstein; Stephanie W Russell; Andrew DeMott; Donald Hedeker Journal: BMC Public Health Date: 2010-09-29 Impact factor: 3.295
Authors: Temitope O Erinosho; Courtney A Pinard; Linda C Nebeling; Richard P Moser; Abdul R Shaikh; Ken Resnicow; April Y Oh; Amy L Yaroch Journal: PLoS One Date: 2015-02-23 Impact factor: 3.240