In the present research, we have evaluated the association between patterns of nutrient intake and obesity. The present cross-sectional study recruited 850 adults aged between 20–59 years old. Dietary intakes were assessed with three 24-hour recalls. As well, data on anthropometric measures were collected. General obesity was specified as body mass index ≥ 30 kg/m2. Factor analysis was conducted, and followed by a varimax rotation, was performed to extract major nutrient patterns. Our analysis identified three major nutrient patterns: The first nutrient pattern was characterized by the high consumption of saturated fatty acids (SFAs), protein, vitamins B1, B2, B6, B5, B3, B12, Zinc, and iron. The second nutrient pattern was rich in total fat, polyunsaturated fatty acids, monounsaturated fatty acids, SFAs, oleic acid, linolenic acid, zinc, vitamin E, α-tocopherol, and β-carotene. The third one was greatly loaded with protein, carbohydrate, potassium, magnesium, phosphorus, calcium, vitamin C, and folate. Women in the third quintile of the first pattern were less likely to be generally obese in the fully adjusted model (odds ratio, 0.44; 95% confidence interval, 0.25–0.75). None of the other nutrient patterns had a significant association with obesity, even after adjusting for confounders. Adherence to a nutrient pattern rich in water-soluble vitamins was significantly associated with a greater chance of general obesity among women. Further studies in other populations, along with future prospective studies, are required to confirm these findings.
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Isolating the effects of a single nutrient or food in relation to health outcomes including increased skeletal muscle mass is a challenging task because dietary constituents are highly correlated and synergistic. Hence, diet pattern analysis may be used to investigate the role of certain diets in health outcomes. The present study investigated the dietary patterns and their relationship to skeletal muscle mass in Korean adults. Data were extracted from the 2008–2011 Korea National Health and Nutrition Examination Surveys. To explore the dietary patterns of the study subjects, factor analysis was performed using data obtained from a 24-hour recall. The skeletal muscle index according to dietary pattern scores was then investigated to estimate the changes in skeletal muscle mass. Three patterns were initially identified from the factor analysis. Of these vegetables and fish (VF) pattern was the primary factor with high reliability and was a common factor in sex-separated analyses. The VF pattern scores were positively associated with increased skeletal muscle mass in both men and women. Further analysis according to quartile levels of VF pattern scores showed a positive association between skeletal muscle mass and VF pattern in men but not in women. These results suggest that dietary patterns focused on vegetables and seafoods may contribute to increased skeletal muscle mass in Korean men but that sex difference should be considered in nutrition care for skeletal muscle health.
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