1. Prevalence and Clinical Characteristics of Metabolically Healthy Obesity in Korean Children and Adolescents: Data from the Korea National Health and Nutrition Examination Survey
- Author
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Jieun Lee, Da Young Yoon, Young Ah Lee, Sei Won Yang, Jae Hyun Kim, and Choong Ho Shin
- Subjects
Male ,Pediatrics ,medicine.medical_specialty ,Waist ,National Health and Nutrition Examination Survey ,Adolescent ,030209 endocrinology & metabolism ,Body Mass Index ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Asian People ,Internal medicine ,Metabolically healthy obesity ,Republic of Korea ,medicine ,Prevalence ,Odds Ratio ,Humans ,030212 general & internal medicine ,Obesity ,Child ,Children ,Life Style ,Korea ,Anthropometry ,business.industry ,General Medicine ,Odds ratio ,medicine.disease ,Nutrition Surveys ,Confidence interval ,Metabolically Healthy Obesity ,Logistic Models ,Phenotype ,ROC Curve ,Area Under Curve ,Original Article ,Female ,Insulin Resistance ,Waist Circumference ,business ,Body mass index - 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 (MHOCMRF/MUOCMRF) and degree of IR (MHOIR/MUOIR). 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 MHOCMRF and MHOIR 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 MHOCMRF phenotype. The best predictors of MHOCMRF and MHOIR 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., Graphical Abstract
- Published
- 2017