The aim of this study was to investigate the association between macronutrient composition and metabolic syndrome (MetS) incidence in Korean adults. Data were obtained from a cohort of 10,030 members aged 40 to 69 years who were enrolled from the 2 cities (Ansung and Ansan) between 2001 and 2002 to participate in the Korean Genome Epidemiology Study. Of these members, 5,565 participants, who were free of MetS and reported no diagnosis of cardiovascular disease at baseline, were included in this study. MetS was defined using the criteria of the National Cholesterol Education Program-Adult Treatment Panel III and Asia-Pacific criteria for waist circumference. MetS incidence rate were identified during a 2-year follow-up period. Baseline dietary information was obtained using a semi-quantitative food frequency questionnaire. Multivariate logistic regression analysis was used to evaluate the association between the quartiles of percentages of total calorie from macronutrients consumed and MetS incidence. In analyses, baseline information, including age, sex, body mass index, income status, educational status, smoking status, alcohol drinking status, and physical activity level was considered as confounding variables. Participants with the second quartile of the percentages of carbohydrate calorie (67%–70%) had a 23% reduced odds ratio (95% confidence interval, 0.61–0.97) for MetS incidence compared with those with the fourth quartile after adjusting for confounding variables. The findings suggest that middle aged or elderly Korean adults who consume approximately 67%–70% of calorie from carbohydrate have a reduced risk of MetS.
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The present study was performed to evaluate the relationship between dietary quality indices including the Diet Quality Index-International (DQI-I), Alternate Healthy Eating Index (AHEI), and Healthy Diet Indicator (HDI) and glycemic status in Korean patients with type 2 diabetes. A total of 110 consecutive outpatients with type 2 diabetes who visited 2 university hospitals in Seoul and Seongnam from April 2004 to November 2006 were enrolled as subjects. At the time of enrollment, anthropometric parameters, dietary habits, experience of exercise, and metabolic parameters were obtained. Experienced registered dietitians collected one-day dietary intake using the 24-hour recall method. The mean scores for DQI-I, AHEI, and HDI were 68.9 ± 8.2, 39.4 ± 8.9, and 5.0 ± 1.3, respectively. After adjustment for age, body mass index, and energy intake, DQI-I and HDI were found to have a significant correlation with hemoglobin A1c (HbA1c) (r = -0.21, p < 0.05; r = -0.28, p < 0.05), fasting plasma glucose (r = -0.21, p < 0.05; r = -0.23, p < 0.05), and postprandial 2-h glucose (r = -0.30, p < 0.05; r = -0.26, p < 0.05, respectively). However, AHEI did not have a significant correlation with HbA1c. In conclusion, the DQI-I and HDI may be useful tools in assessing diet quality and adherence to dietary recommendations in Korean patients with type 2 diabetes. Future research is required to determine whether the dietary quality indices have predictive validity for dietary and glycemic changes following diet education in a clinical setting.
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