The study of metabolic risk factors and dietary intake in adolescent children by the status of mothers' metabolic syndrome: Using the data from 2007-2010 Korean National Health and Nutrition Examination Survey

2013 ◽  
Vol 46 (6) ◽  
pp. 531 ◽  
Author(s):  
SoYeon Kwon ◽  
Mijung Park ◽  
YoonJu Song
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Dietary Intake ◽  
National Health ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
The Status

scholarly journals Association between Parent’s Metabolic Syndrome and 12- to18-Year-Old Offspring’s Overweight: Results from the Korea National Health and Nutrition Examination Survey (K-NHANES) 2009–2016

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Na Yeong Lee ◽  
Kyungdo Han ◽  
Yoonji Lee ◽  
Seulki Kim ◽  
Seonhwa Lee ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Diastolic Blood Pressure ◽  
Central Obesity ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
Age And Sex

Background. Little information is available on the association between parents’ metabolic syndrome (MetS) and adolescent offspring’s obesity in Korea. The aim of our study is to determine the association between parent’s metabolic syndrome and offspring’s obesity. Methods. The study data were obtained from the Korean National Health and Nutrition Examination Survey conducted during 2009–2016. In the present study, 3140 adolescents aged 12 to 18 years, their paternal pairs (PP, fathers = 2244), and maternal pairs (MP, mothers = 3022) were analyzed. Of these 3140 adolescents, 2637 had normal weight {age- and sex-specific body mass index (BMI) under the 85th percentile}, whereas 467 were overweight (age- and sex-specific BMI over the 85th percentile). Results. Offspring’s overweight and central obesity were associated with all components of the PP’s metabolic risk factors, including central obesity ( p < 0.001 ), systolic ( p < 0.001 ) and diastolic blood pressure ( p < 0.001 ), glucose intolerance ( p < 0.001 ), and triglyceride ( p < 0.002 ) and high-density lipoprotein levels ( p = 0.049 ). In addition, offspring’s overweight and central obesity were also associated with the metabolic risk factors of MP, including central obesity ( p < 0.001 ), systolic ( p < 0.001 ) and diastolic blood pressure ( p < 0.001 ), glucose intolerance ( p < 0.001 ), and triglyceride levels ( p < 0.001 ). In multivariate logistic regression analysis, offspring’s overweight was significantly and positively associated with parental central obesity (PP, adjusted odds ratio (OR) = 1.593; 95% confidence interval (CI): 1.192–2.128; MP, adjusted OR = 2.221, 95% CI: 1.755–2.812) and parental metabolic syndrome (PP, adjusted OR = 2.032; 95% CI: 1.451–2.846; MP, adjusted OR = 2.972, 95% CI: 2.239–3.964). As the number of parental metabolic risk factors increased, offspring’s risk for overweight and central obesity increased ( p for trends < 0.001). Conclusion. Parental metabolic syndrome was associated with obesity in 12- to 18-year-old offspring in Korea.

scholarly journals Maternal and Paternal Effects on Hyperuricemia: A Cross-Sectional Study from the 7th Korean National Health and Nutrition Examination Survey

2021 ◽  
Author(s):  
Sunggun Lee ◽  
Min Wook So ◽  
Doo-Ho Lim ◽  
Mi-Young Kim ◽  
Jae-Ha Lee ◽  
...  
Keyword(s):  
Risk Factors ◽  
National Health ◽  
Alcohol Intake ◽  
Cross Sectional Study ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Nutrition Examination Survey ◽  
Sectional Study ◽  
Cross Sectional ◽  
Health And Nutrition

Abstract Objective As heritability of hyperuricemia remains largely unexplained, we analyzed the association between parental and offspring hyperuricemia at the phenotype level. Methods This cross-sectional study included data on 2373 offspring and both-parent pairs from the 7th Korean National Health and Nutrition Examination Survey. Logistic regression and generalized estimating equation analysis were used to evaluate the association between offspring and parental hyperuricemia adjusting for metabolic risk factors and alcohol intake. Results Both maternal and paternal hyperuricemia were associated with offspring hyperuricemia among teenagers, but from age of 20 years, a strong association was observed between offspring and paternal, rather than, maternal hyperuricemia, and this could not be explained by metabolic risk factors such as obesity. However, there was positive interaction between offspring alcohol intake and parental hyperuricemia, and there was a stronger association between terciles of offspring alcohol intake and hyperuricemia in the presence of parental hyperuricemia: T1 (reference), T2 OR 1.1 (0.3–4.6), and T3 OR 3.3 (1.4–7.9) (P for trend 0.017) vs. T1 (reference), T2 OR 0.7 (0.3–1.9), and T3 OR 1.1 (0.6–2.2) (P for trend 0.974). Conclusion These results suggest gene-environment interaction, especially with respect to alcohol intake for hyperuricemia in Korean adults.

scholarly journals Thyroid Function in Korean Adolescents with Obesity: Results from the Korea National Health and Nutrition Examination Survey VI (2013–2015)

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Won Kyoung Cho ◽  
Hyo-Kyoung Nam ◽  
Jae Hyun Kim ◽  
Young-Jun Rhie ◽  
Sochung Chung ◽  
...  
Keyword(s):  
Risk Factors ◽  
Thyroid Function ◽  
Abdominal Obesity ◽  
National Health ◽  
Normal Weight ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Nutrition Examination Survey ◽  
Korean Adolescents ◽  
Health And Nutrition

Purpose. In this study, we investigated the status of thyroid function and its association with metabolic risk factors in Korean adolescents. Methods. Among 2679 subjects aged 10–19 years who participated in the Korea National Health and Nutrition Examination Survey VI (2013–2015), 1067 adolescents (M=559, F=508) with available data on free T4 (FT4) and thyroid-stimulating hormone (TSH) were included. Study participants were classified into normal weight [body mass index (BMI) below 85th percentile, 80.7%], overweight (85th ≤ BMI< 95th percentile, 8.7%), and obesity (BMI ≥ 95th percentile, 10.6%). Results. With increasing levels of BMI category, the means of TSH increased (2.73 ± 0.06, 2.77 ± 0.02, and 3.24 ± 0.22 mIU/L, P=0.031) and FT4 decreased (1.30 ± 0.01, 1.26 ± 0.02, and 1.25 ± 0.02 ng/mL, P=0.001). Positive linear associations were observed between TSH and BMI z-score (P=0.031), waist circumference (P=0.013), waist-height ratio (P=0.002), systolic blood pressure (P=0.001), total cholesterol (P=0.008), and triglyceride (P=0.002) after adjusting for age and sex. With per-unit increase in TSH, the odds ratios of having abdominal obesity (OR = 1.18, 95% CI, 1.01–1.38) and triglyceride ≥ 150 mg/dL (OR = 1.18, 95% CI, 1.04–1.34) were significantly increased after adjusting for age, sex, and BMI. Conclusions. In adolescents with obesity, TSH was higher and FT4 was lower than in adolescents with normal weight. Hyperthyrotropinemia was associated with abnormal metabolic risk factors including abdominal obesity and elevated triglyceride.

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