AI Summary & Key Takeaways
AI InsightIt was concluded that the scale being prepared in the light of all these analyzes was a valid and reliable measurement tool for determining the change in the frequency of nutrition consumption of individuals.
📌 3 Key Takeaways
Abstract
The purpose of this study is to develop a scale that could evaluate the change in nutrition consumption frequencies of individuals’ scientifically in disease, natural disaster and private situations and to gain it to literature by conducting validity and reliability studies of this scale. In this context, an application has been made relating with COVID-19 pandemic period which we are still living through and 3107 individuals having different demographic features (gender, marital status, age, educational status, etc.) have participated in the research. First of all literature has been reviewed and a likert type of sketch scale has been prepared. Afterwards by getting the opinion of 11 experts, context validity works have been conducted. Exploratory Factor Analysis and Confirmatory Factor Analysis were applied for structural validity. Finally, the reliability of the scale was examined by test-retest and internal consistency coefficient. The scale, which consisted of a 47-item nutrition list at the beginning, has been updated as 10 sub-dimensions and 34 items after analysis. The general Cronbach's Alpha (α) reliability coefficient of the scale was calculated as α=0.722 (very reliable). It was concluded that the scale being prepared in the light of all these analyzes was a valid and reliable measurement tool for determining the change in the frequency of nutrition consumption of individuals. The scale can be jointly used in situations of chronic diseases such as cancer, Parkinson, diabetes, obesity, infectious diseases such as COVID-19, AIDS, swine flu, bird flu, natural disasters such as earthquakes, floods, and private situations such as pregnancy, breastfeeding, and disability.