Prevalence and Clinical Characteristics of Metabolically Healthy Obesity in Korean Children and Adolescents: Data from the Korea National Health and Nutrition Examination Survey.
10.3346/jkms.2017.32.11.1840
- Author:
Da Young YOON
1
;
Young Ah LEE
;
Jieun LEE
;
Jae Hyun KIM
;
Choong Ho SHIN
;
Sei Won YANG
Author Information
1. Department of Pediatrics, Inje University Ilsan Paik Hospital, Goyang, Korea.
- Publication Type:Original Article
- Keywords:
Metabolically Healthy Obesity;
Prevalence;
Children;
Korea
- MeSH:
Adolescent*;
Body Mass Index;
Child*;
Humans;
Insulin Resistance;
Korea*;
Life Style;
Logistic Models;
Longitudinal Studies;
Motor Activity;
Nutrition Surveys*;
Obesity;
Obesity, Metabolically Benign*;
Phenotype;
Prevalence*;
Risk Factors;
ROC Curve;
Waist Circumference
- From:Journal of Korean Medical Science
2017;32(11):1840-1847
- CountryRepublic of Korea
- Language:English
-
Abstract:
Metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO) are differentiated by the presence of cardiometabolic risk factors (CMRFs) and insulin resistance (IR). This study aimed to evaluate the prevalence and clinical characteristics of MHO in Korean children and adolescents and to investigate the anthropometric, laboratory, and lifestyle predictors of MHO. This study included data from 530 obese subjects, aged 10–19 years, obtained from the Fourth Korea National Health and Nutrition Examination Survey. Subjects were classified into MHO and MUO groups according to the presence of CMRF (MHO(CMRF)/MUO(CMRF)) and degree of IR (MHO(IR)/MUO(IR)). Demographic, anthropometric, cardiometabolic, and lifestyle factors were compared between the groups. Logistic regression analysis and receiver operating characteristic curve analysis were performed to identify factors that predicted MHO. The prevalence of MHO(CMRF) and MHO(IR) in obese Korean youth was 36.8% (n = 197) and 68.8% (n = 356), respectively. CMRF profiles were significantly less favorable in MUO children. Longer and more vigorous physical activity and less protein intake were associated with MHO(CMRF) phenotype. The best predictors of MHO(CMRF) and MHO(IR) were waist circumference (odds ratio [OR], 0.82; 95% confidence interval [CI], 0.77–0.88; P < 0.001) and body mass index (BMI) standard deviation score (OR, 0.24; 95% CI, 0.15–0.39; P < 0.001), respectively. The prevalence of MHO differed depending on how it was defined. To adequately manage obesity in youth, the approach to individuals with MHO and MUO should be personalized due to variation in clinical characteristics. Longitudinal studies are needed to evaluate long-term consequences of MHO.
