Department of Health Education and Promotion, Faculty of Health, Isfahan University of Medical Sciences, Isfahan, Iran.
Department of Biostatistics, Centre Addiction Research Institutes, Mazandaran University of Medical Sciences, Sari, Iran.
J Nutr Sci. 2022 Feb 9;11:e7. doi: 10.1017/jns.2021.90. eCollection 2022.
Increasing fruit and vegetable (F&V) intake has a protective role against chronic conditions such as cardiovascular disease, cancer and diabetes. The present study aimed to validate an instrument for measuring the perception of effective factors on consumption behaviour of F&V based on Pender's health promotion model (HPM).This cross-sectional validation survey has consisted of five steps: literature review in order to plan and develop an instrument, face validity assessment, content validity assessment, reliability assessment and construct validity assessment with the cooperation of experts in health education, nutritionists and the target group (government employees). In the present study, reliability and validity of constructs were determined through Cronbach's alpha and exploratory factor analysis, respectively, in SPSS 22. The mean impact score was acceptable for 96·42 % of items in face validity. The mean scores of content validity ratio (CVR), content validity index (CVI) and reliability were 0·92, 0·97 and 0·96, respectively. According to the principal component analysis with varimax rotation, 104 items were identified in 15 factors contributing to 61·17 % of the model cumulative variance. Given the favourable scores of the research instrument in face validity, content validity and reliability as well as its ability to predict the extracted factors from the model, it can be used as a suitable instrument in future studies.
增加水果和蔬菜（F&V）的摄入量对预防心血管疾病、癌症和糖尿病等慢性疾病具有保护作用。本研究旨在验证一种基于彭德健康促进模型（HPM）测量 F&V 消费行为有效因素感知的工具。这项横断面验证调查包括五个步骤：文献综述以规划和开发工具、表面有效性评估、内容有效性评估、与健康教育专家、营养师和目标群体（政府雇员）合作进行的可靠性评估和构念有效性评估。在本研究中，通过 Cronbach 的 alpha 和探索性因子分析分别确定了可靠性和构念的有效性，使用 SPSS 22 进行分析。96.42%的项目的表面有效性的平均影响得分是可以接受的。内容有效性比（CVR）、内容有效性指数（CVI）和可靠性的平均得分分别为 0.92、0.97 和 0.96。根据方差最大旋转的主成分分析，在 15 个因素中确定了 104 个项目，这些因素对模型累计方差的 61.17%有贡献。考虑到研究工具在表面有效性、内容有效性和可靠性方面的得分以及它预测模型中提取因素的能力，它可以在未来的研究中作为一种合适的工具使用。
