OBJECTIVES This study examined the association of the total diet quality with the incidence risk of metabolic syndrome constituents and metabolic syndrome among Korean adults. METHODS Based on a community-based cohort of the Korean Genome and Epidemiology Study (KoGES) from 2001 to 2014, data from a total of 5,549 subjects (2,805 men & 2,744 women) aged 40~69 years at the baseline with a total follow-up period of 38,166 person-years were analyzed. The criteria of the National Cholesterol Education Program Adult Treatment Panel was employed to define metabolic syndrome. The total diet quality was estimated using the Korean Healthy Eating Index (KHEI). Hazard ratios (HR) and 95% confidence intervals (CI) for risk of metabolic syndrome constituents and metabolic syndrome in relation to KHEI quintile groups was calculated by multivariate Cox proportional hazards regression model. RESULTS After adjusting for age, energy intake, income, education, physical activity, smoking, and drinking, the incidence of abdominal obesity and high blood pressure was significantly lower, by approximately 29.7% (P < 0.01) and 25.2% (P < 0.01), respectively, in the fifth KHEI quintile compared to the first quintile in men. A significant decreasing trend of the metabolic syndrome incidence was observed across the improving levels of KHEI (HRq5vs.q1: 0.775, 95% CIq5vs.q1: 0.619~0.971, P for trend < 0.01). In women, the incidence of abdominal obesity and metabolic syndrome was significantly lower, by approximately 29.8% (P < 0.01) and 22.5% (P < 0.05), respectively, in the fifth KHEI quintile compared to the first quintile adjusting for multiple covariates. On the other hand, the linear trend of metabolic syndrome risk across the KHEI levels did not reach the significance level. CONCLUSIONS A better diet quality can prevent future metabolic syndrome and its certain risk factors among Korean men and women.
Citations
Citations to this article as recorded by
Association between Korean Healthy Eating Index and abdominal obesity in Korean adults: the mediating effect of high-sensitivity C-reactive protein Jina Yoon, Dayeon Shin Journal of Nutrition and Health.2024; 57(1): 88. CrossRef
Association between Dietary Quality and Non-Alcoholic Fatty Liver Disease in Korean Adults: A Nationwide, Population-Based Study Using the Korean Healthy Eating Index (2013–2021) Seong-Uk Baek, Taeyeon Kim, Yu-Min Lee, Jong-Uk Won, Jin-Ha Yoon Nutrients.2024; 16(10): 1516. CrossRef
TAS2R38 bitterness receptor genetic variation is associated with diet quality in Koreans Hae Young Kim, Jeong-Hwa Choi Appetite.2024; 200: 107561. CrossRef
Contents of Pantothenic Acid in Frequently Consumed Korean Vegetables and Fruits Jihwan Kim, Jina Lee, Yoonjeong Kim, Eunji Park, Jinju Park, Youngmin Choi, Younghwa Kim Journal of the Korean Society of Food Science and Nutrition.2024; 53(8): 816. CrossRef
Association between green tea consumption and metabolic syndrome among Korean adults: results from the Health Examinees study Hyeonjin Cho, Sunwoo Han, Jiwon Jeong, Hyein Jung, Sangah Shin Journal of Nutrition and Health.2023; 56(1): 70. CrossRef
Obesity-Status-Linked Affecting Factors of Dyslipidemia in Korean Young-Adult Men: Based on the Korea National Health and Nutrition Examination Survey (2019–2021) Min Kwon, Jinheum Kim, Eunjeong Cha Healthcare.2023; 11(14): 2015. CrossRef
The association of the Korean Healthy Eating Index with chronic conditions in middle-aged single-person households EunJung Lee, Ji-Myung Kim Nutrition Research and Practice.2023; 17(2): 316. CrossRef
Association between the Korean Healthy Eating Index and Serum Vitamin D Level in Korean Adults: 2013–2015 Korea National Health and Nutrition Examination Survey So-Yoon Choi, Yu-Jin Kwon, Ji-Won Lee Korean Journal of Family Practice.2023; 13(4): 218. CrossRef
Benefits of adherence to the Korea Healthy Eating Index on the risk factors and incidence of the metabolic syndrome: analysis of the 7th (2016–2018) Korea National Health and Nutrition Examination Survey Sun A Choi, Sung Suk Chung, Jeong Ok Rho Journal of Nutrition and Health.2022; 55(1): 120. CrossRef
Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea Junho Kim, Sujeong Mun, Siwoo Lee, Kyoungsik Jeong, Younghwa Baek BMC Public Health.2022;[Epub] CrossRef
Comparison of the Nutrition Composition and Antioxidant Activity of Carrots and Parsnips Yeon-Jin Park, So-Yeon Han, Jae-Joon Lee The Korean Journal of Community Living Science.2022; 33(1): 83. CrossRef
Analysis of Fruit Consumption and the Korean Healthy Eating Index of Adults Using the 2018 Korea National Health and Nutrition Examination Survey Sun A Choi, Sung Suk Chung, Jeong Ok Rho Journal of the Korean Society of Food Science and Nutrition.2021; 50(10): 1124. CrossRef
Association of Dietary Quality with Subjective Health-Related Perception and Chronic Diseases According to Age Segmentation of Korean Elderly Sojeong Lee, Seungmin Lee Korean Journal of Community Nutrition.2021; 26(5): 363. CrossRef
Association between frailty and dietary quality in community-dwelling elderly: data from the 6th Korea National Health and Nutrition Examination Survey (2014–2015) Woori Na, Hyeji Kim, Cheongmin Sohn Journal of Clinical Biochemistry and Nutrition.2021; 68(3): 268. CrossRef
Changes in Prevalence of Body Mass Index and Metabolic Syndrome during COVID-19 Lockdown Period Ji Young Kwon, Sang-Wook Song, Ha-Na Kim, Sung Gu Kang Korean Journal of Family Practice.2021; 11(4): 304. CrossRef
There are few studies reporting optimal waist circumference that can be utilized to prevent the incidence of cardiovascular disease (CVD). We evaluated the association of waist circumference and waist and hip circumference ratio (WHR) with incident cases of CVD developed over 6 years in a population-based prospective study including Korean adults. Analyses for receiver-operating characteristic (ROC) curve were performed with data for 1,733 men and 1,579 women who were aged 40 to 69 years and were free of a physician-diagnosis of CVD at baseline. Information on the diagnosis of CVD was periodically reported using interviewer-administered questionnaires and anthropometric measures were obtained by biennial health examinations. We newly identified 77 cases of CVD during a follow-up period between 2003 and 2008. On the basis of measures of diagnostic accuracy including minimum distance to ROC curve and Youden index, waist circumference of 85 cm for men, in particular for male nonsmokers, and of 80 cm for women and WHR of 0.88 to 0.90 for men and of 0.83 for women were found to be optimal cutoff points to identify individuals at CVD risks. The study also found that the use of the suggested optimal values for waist circumference show higher sensitivity and lower specificity compared with 90 cm for men and 85 cm for women, which are waist cutoff points given by the Korean Society for the Study of Obesity to define abdominal obesity for Korean adults. Although lower cutoff points of waist circumference (83 cm) and WHR (0.87) were observed to be optimal for male smokers compared with male nonsmokers, whether suggesting waist cutoff points specific to smokers is needed warrants further studies. After taking into account other cardiovascular risk factors including smoking, men with waist circumference of 85 cm or greater and women with 80 cm or greater were at an increased risk of CVD. Thus, these cutoff points of waist circumference may be able to capture more individuals at CVD risks contributing to the prevention of future development of CVD.