Gonul Bodur, Zehra Turhan, Aycan Kucukkaya, Polat Goktas
Assessing the virtual reality perspectives and self-directed learning skills of nursing students: A machine learning-enhanced approach
Nurse education in practice
identify describe diet patterns children early childhood using confirmatory factor analysis cfa longitudinal data drawn strong kids 2 program mothers surveyed childs diet 24 n 337 36 n 317 48 n 289 months old block food frequency questionnaire children aged 27 years used derive diet patterns 23 food groups created analyses principal component analysis used obtain preliminary factor loadings loadings used form priori hypotheses cfaderived diet patterns independent samples tests used compare food groups nutrient intakes child family characteristics cfa pattern scores vs atbelow median three diet patterns consistently emerged 1 processed meats sweets fried foods 2 vegetables legumes starchy vegetables 3 grains nutsseeds condiments 24 36 months patterns related differences added sugars dietary fiber potassium intakes maternal education household income opposing healthful vs western patterns extant child adult literature observed across ages third pattern differed 2436 48 months representing potential shift food choices offerings children age