Özet:

Objective: Households were visited, accompanied by a nutrition map created from foods expected to cause obesity and prepared by us based on market shelves. It was aimed to examine the relationship between the amount of food in the household, the sociodemographic characteristics of the household, eating attitudes and physical activity levels, and obesity. Materials and Methods: The cross-sectional analytical study was conducted in the spring term of 2019-2021 by personally reaching the households who agreed to participate in the study. Quota sampling method, one of the nonprobabilistic sampling methods, was used as the sampling method. Obesity status assessments were made with nutritional maps obtained by grouping the participants according to their socio-demographic data (Personal Information Form), eating attitudes (Eating Attitudes Test), physical activity variables (International Physical Activity Assessment Questionnaire Short Form) and the amount of nutrients in households. Results: Participants' mean height was 170.8±8.4, average weight was 76.0±14.2, mean body mass index (BMI) was 26.0±4.2, and mean age was 41.6±11.9 (min-max= 23-81). According to the research, 1 out of 10 people has 2.5 liters or more of carbonated drink in their house, and 1 out of 2 people has ready-made fruit juice in their house. When sugary food groups are examined, jam is the most common sugary food in households with 94% and white sugar 90%. The effects of chocolate, jam, sweetener, confectionery, white sugar, artificial chocolate, food syrups, ice cream and dried fruit levels on BMI were not determined. With 91.3%, white flour is the most common food in households from the food group with high carbohydrate content. Conclusion: When obesity status was evaluated with nutritional map, it was found that women are more prone to obesity than men, the risk of obesity decreases with increasing income level, the risk of obesity increases with age, and smokers have a lower body mass index than non-smokers.

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