Metabolic syndrome (MetS) is a multifactorial disease with its exact causes not completely clear. Micronutrients such as vitamin A, vitamin D, zinc, and magnesium have been associated with MetS components. Our
objective
was to investigate the association of nutrient adequacy (NA) with MetS components. The present cross-sectional study consisted of 850 adults between 18-59 years from Tehran, Iran. Dietary intake, socio-demographic data, medical history, and anthropometric indices were collected by trained personnel. NA was calculated as the mean intake ratio to the recommended amount of 16 micronutrients. MetS were defined by the consensus of National Cholesterol Education Program-Adult Treatment Panel III criteria. The association between NA and MetS was examined using linear regression analyses after controlling potential confounders. More participants in the highest quartile were obese in terms of general obesity (p = 0004) and abdominal obesity (p = 0.003) compared with subjects in the least quartile. A significant positive correlation was found between waist circumference (WC) and NA even after controlling for all potential confounders (p < 0.001). NA was positively associated with WC among adults living in Tehran.
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Dietary diversity score (DDS) is known as an indicator of food quality. Dietary diversity can promote health status. The aim of this study was determined DDS and its related factors in Kermanshah University of Medical Sciences (KUMS) employees. This cross-sectional study was conducted on 190 employees of KUMS in 2015. According to the population of KUMS centers which were selected randomly (Paramedical, Public Health faculties, Imam Reza Hospital and province health center), subjects were selected by convenience sampling method. Food frequency questionnaire (FFQ) was used to calculate DDS. Foods were divided into 5 main groups: grains, vegetables, fruits, meat, and dairy products. The main groups had 23 subgroups. Total DDS divided to 4 quartiles: less than 3.0, 3.0–5.5, 5.6–8.5, and more than 8.5. Anthropometric parameters including: weight, height, waist circumference (WC), and hip circumference were measured. Data were analyzed by Kolmogorov-Smirnov test, χ2 test, and analysis of variance (ANOVA) test with SPSS 20 software (IBM Corp., Chicago, IL, USA). The mean ± standard deviation of DDS and body mass index (BMI) were 5.68 ± 1.73 and 25.1 ± 3.42 kg/m2, respectively. The average of the waist-to-hip ratio (WHR) in men and women was 0.92 ± 0.04 and 0.86 ± 0.06, respectively. There was statistically significant difference between DDS and self-reported economic status (p < 0.022). No significant difference was observed between DDS and BMI or WC. However, significant negative correlation was observed between DDS and WHR in men (p < 0.019). This study showed that DDS had a negative correlation with the WHR. Therefore, dietary diversity may improve health status by effect on fat distribution in body.
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