The Risk of Metabolic Syndrome by Dietary Patterns of Middle-aged Adults in Gyeonggi Province.
10.5720/kjcn.2014.19.6.527
- Author:
You Sin LEE
1
;
Moo Yong LEE
;
Sim Yeol LEE
Author Information
1. Department of Home Economics Education, Dongguk University, Seoul, Korea. slee@dongguk.edu
- Publication Type:Original Article
- Keywords:
Metabolic syndrome;
dietary patterns;
middle-aged adults
- MeSH:
Adult*;
Calcium;
Carbohydrates;
Edible Grain;
Chronic Disease;
Fruit;
Gyeonggi-do;
Humans;
Hypertriglyceridemia;
Male;
Meat;
Obesity, Abdominal;
Odds Ratio;
Potassium;
Risk Factors;
Sodium;
Vegetables
- From:Korean Journal of Community Nutrition
2014;19(6):527-536
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVES: The aim of this study was to assess how nutrient intakes are related to risk factors for metabolic syndrome according to dietary patterns in the middle-aged adults. METHODS: The subjects (n = 187; 47 men, 140 women) consisted of middle-aged adults over 30 years old in Ilsan area. The metabolic syndrome was diagnosed according to the data collected from each subject, including anthropometric measurements and blood analyses. The dietary patterns were derived from the average of two-day dietary intake data. RESULTS: Factor analysis identified three major dietary patterns which were "Meats and alcohol", "Mixed grains, vegetables and fruits", and "Rice, Kimchi and fish & shellfish". The daily intakes of energy, protein, and sodium increased across quartiles of "Meats and alcohol" pattern scores (p < 0.05), whereas the intakes of carbohydrates, potassium, calcium, and fiber increased across quartiles of "Mixed grains, vegetables and fruits" pattern scores (p < 0.001). The "Meats and alcohol" pattern scores were positively correlated with protein and sodium intakes but inversely correlated with carbohydrates, fiber and potassium intakes which were adjusted for age, sex and energy (p < 0.05). The highest quartile pattern score of "Meats and alcohol" pattern had elevated odds ratio of abdominal obesity and metabolic syndrome (p < 0.05). The risk of hypertriglyceridemia decreased in the highest quartile of "Mixed grains, vegetables and fruits" pattern (OR 0.35, 95% CI 0.12-1.00). CONCLUSIONS: Our results suggested that reducing the consumption of meat and alcohol along with increasing fruits, vegetables and mixed grains would be helpful for preventing the metabolic syndrome and chronic diseases.
