Abstract
Background: Metabolic syndrome (MetS) is a group of metabolic issues that increase the risk of type 2 diabetes and heart disease. Objectives: To reduce deaths from type 2 diabetes and heart disease, this study was conducted to determine the relationship between metabolic syndrome, physical activity, and eating habits in participants of the Tabari cohort study. Methods: In this descriptive cross-sectional study, data from the Tabari cohort in an urban and mountain area in Sari, Mazandaran, was utilized from June 2015 to November 2017. Background information of participants was documented, and their eating habits were assessed using a food habit questionnaire. Additionally, the physical activity levels of the participants were recorded. All individuals were assessed for metabolic syndrome according to the third Adult Treatment Panel (ATP III) guidelines. The gathered data was then inputted into SPSS V.23 software for analysis. Qualitative variables, such as demographic and epidemiological data, were compared between the two groups using the chi-square test, while quantitative variables were compared using an independent t-test. Results: A total of 10,255 adults between the ages of 35 and 70 participated in this study, and after applying entry and exit criteria, 9,976 people, including 4,083 with metabolic syndrome and 5,893 healthy individuals, were included in the final analysis. There was no significant difference in the average Body Mass Index (BMI) between individuals with metabolic syndrome (30.6 ± 4.5 kg/m²) and healthy individuals (26.8 ± 4.4 kg/m²). However, individuals with metabolic syndrome exhibited significantly higher values for height, weight, waist circumference, abdominal circumference, and wrist circumference compared to the control group (P = 0.001). The average Metabolic Equivalent of Task (MET) for the entire population was 43.03 ± 9.27, with a median of 40.68 (range: Twenty-four-one hundred three) hours/day. A greater percentage of individuals with metabolic syndrome (57.0%) and healthy individuals (45.2%) had MET values below the average (P = 0.001). Regarding energy intake, individuals with metabolic syndrome consumed an average of 2189.74 ± 721.90 calories, while healthy individuals consumed 2354.92 ± 4.04 calories, showing a significant difference (P = 0.006). Moreover, healthy individuals demonstrated significantly higher consumption of added salt in food, fried foods, fried potatoes, fried onions, fried vegetables, and various types of cooking oils compared to those with metabolic syndrome (P = 0.001). Conclusions: Based on the results of the Tabari cohort study, the prevalence of metabolic syndrome in Mazandaran was 41.10%, highlighting the need for prevention and screening programs. In this study, individuals with metabolic syndrome consumed fewer fried foods, trans fats, and daily calories compared to the healthy group. Considering that this study is cross-sectional and utilized data from the Tabari cohort, it is assumed that the difference is due to dietary compliance and lifestyle changes in patients with metabolic syndrome. It is recommended that prospective studies be designed to evaluate the causes of differences in metabolic syndrome components between the two groups.
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