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IntroductionDietary pattern analysis allows us to characterize the dietary intakes of individuals rather than nutrient intake data and strongly predicts disease risks. The relationship between food intake and adolescents’ nutritional health is not well understood yet. Therefore, this study aimed to generate evidence for context-specific dietary intervention for adolescents.ObjectiveThis study aimed to determine dietary patterns and their relationship with nutritional outcomes and identify the contributing factors among adolescents in the Agrarian Community of Northwest Ethiopia.MethodsA cross-sectional survey was conducted among 622 randomly selected adolescents. Dietary data were collected over a 1-week recall period using the Food Frequency Questionnaire (FFQ). After testing the basic assumptions, an exploratory factor analysis was conducted to determine the dietary patterns. Anthropometric data on weight and height were collected to determine the nutritional status using WHO Anthroplus 2010 software. A chi-square test was conducted to evaluate the effect of different dietary patterns on nutritional outcomes. A multivariable binary logistic regression model was used to identify factors affecting the dietary patterns of adolescents.ResultThree types of dietary patterns, namely, traditional, mixed, and animal-source foods with traditional alcoholic beverage consumption were identified. These dietary patterns explain 58.64% of the variance in adolescent diet in the study setting. The burden of stunting was 15.12% vs. 11.21, 19.40% vs. 6.94, and 8.36% vs.17.97% among adolescents with lower traditional, mixed, and higher animal sources with alcoholic dietary pattern consumption habits, respectively (value of p |
