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 ◽  
...  

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.

2013 ◽  
Vol 30 (1) ◽  
pp. 21-30
Author(s):  
Veroslava Stanković ◽  
Svetlana Stojanović ◽  
Nađa Vasiljević

Summary People with metabolic syndrome (MetSy) are about twice as likely to develop cardiovascular disease and over four times as likely to develop type 2 diabetes compared to subjects without metabolic syndrome. Waist circumferences (WC) and body mass index (BMI) are useful screening tools for making the diagnosis. MetSy has increased the health risk in primary care. The aim of the study was to evaluate the anthropometric indices for MetSy and determine which of simple anthropometric measurements is most closely associated with metabolic risk factors. The research included 264 individuals, of which 132 men with mean age (±SD) of 44.73 ±9.37 years and 132 women with mean age (±SD) of 46.67±8.44 years. Antropometric indicators were measured using standard protocols, without shoes and outerwear. BMI was calculated as weight/height2(kg/m2) ratio, as recommended by the World Health Organization (WHO). Blood pressure measurements were obtained with the subject in a seated position by using a standard mercury sphygmomanometer. Blood samples were obtained after a minimum of 12-h fast; the metabolic parameters (high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, triglycerides, blood glucose) were analyzed by standard procedures. Analysis of the examinees’ medical records was also performed. Metabolic syndrome was diagnosed using the International Diabetes Federation (IDF) criteria. The analysis of the research results were performed using the Statistical Package for Social Science version 10.0 (SPSS 10.0 for Windows). The prevalence of the metabolic syndrome was 44.7% in men and 43.2% in women. Normal-weight subjects of both sexes were significantly younger and had significantly lower blood glucose, total cholesterol, LDL and triglycerides than overweight and obese subjects. Systolic and diastolic blood pressure values were significantly increased in parallel with increasing of BMI. For the whole sample, both anthropometric indices had significant associations with the other five components of MetSy. Waist circumference is a simple measure of adiposity most strongly associated with metabolic abnormalities. The results obtained in this study indicate that WC is a good indicator of health risk in women but not in men. Measurement of WC by BMI categories may indicate a person with an increased risk of development of chronic diseases.


2021 ◽  
Author(s):  
Sunggun Lee ◽  
Min Wook So ◽  
Doo-Ho Lim ◽  
Mi-Young Kim ◽  
Jae-Ha Lee ◽  
...  

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.


2012 ◽  
Vol 109 (5) ◽  
pp. 914-919 ◽  
Author(s):  
Tatiana F. S. Teixeira ◽  
Łukasz Grześkowiak ◽  
Sylvia C. C. Franceschini ◽  
Josefina Bressan ◽  
Célia L. L. F. Ferreira ◽  
...  

SCFA provide energy to the host and influence lipid and glucose metabolism, suggesting that they may have an impact on the occurrence of metabolic risk factors. The aim of the present study was to determine the concentration of SCFA in faeces of lean and obese individuals and to analyse whether associations between faecal SCFA and metabolic syndrome parameters are present. Lean (n20) and obese (n20) women of similar age (28·5 (sd7·6)v.30·7 (sd6·5) years,P= 0·33) participated in the study. Anthropometric measurements, body composition, blood pressure and biochemical parameters were assessed. SCFA were extracted from faeces and quantified by GC. Blood pressure and blood glucose, although within the normal limits, were higher in the obese group compared to lean subjects (P< 0·05). Lower HDL concentration and higher insulin and homeostasis model assessment (HOMA) index were observed in the obese than in the lean group (P< 0·05). The median values of SCFA (% w/w) from the lean and obese groups were butyric (0·021v.0·044,P= 0·024), propionic (0·021v.0·051,P= 0·007) and acetic (0·03v.0·061,P= 0·01). SCFA correlated positively with metabolic syndrome risk factors such as adiposity, waist circumference and HOMA index (P< 0·05), and inversely with HDL (P< 0·05). Our results suggest that the higher faecal concentration of SCFA is associated with metabolic risk factors and thus may influence metabolic homeostasis.


2021 ◽  
Author(s):  
Pei-Wen Wu ◽  
Yi-Wen Lai ◽  
Yu-Ting Chin ◽  
Sharon Tsai ◽  
Tun-Min Yang ◽  
...  

Abstract Background Underlying pathophysiological mechanisms drive excessive clustering of cardiometabolic risk factors, causing metabolic syndrome (MetS). However, MetS status may transform as adolescents transition to young adulthood. This study evaluated the latent clustering structure and its stability for MetS during adolescence and investigated the determinants for MetS transformation over 2 years of follow-up. Methods A community-based representative adolescent cohort (n=1516) was evaluated for MetS using four diagnostic criteria and followed for 2.2 years to identify new-onset MetS. Factor analysis and polytomous logistic regression were separately applied to investigate the latent clustering structure for MetS and the relationship between changes in metabolic risk factors and transformations in MetS status. Results The clustering pattern of cardiometabolic parameters was comparable at baseline and follow-up surveys; both comprised a fat‒blood pressure‒glucose three-factor structure (total variance explained: 68.8% and 69.7%, respectively). Among adolescents who were MetS-negative at baseline, 3.2%‒4.4% had incident MetS after 2 years. Among adolescents who were MetS-positive at baseline, 52.0%‒61.9% experienced MetS remission, and 38.1%‒48.0% experienced MetS persistence. Increased systolic blood pressure (SBP) was associated with a higher risk of MetS incidence, and decreased SBP, triglycerides, and glucose levels were associated with MetS remission. Compared with adolescents with a normal metabolic status at baseline, those having an initial abnormal status in the five MetS components all had greater risks for persistent metabolic abnormality 2 years later, with abdominal obesity and increased triglycerides rendering a 15.0- and 5.7-fold risk, respectively. Conclusions The structure of cardiometabolic parameter clustering for MetS is stable during adolescence. Changes in metabolic risk factors affect typological transformation of adolescent MetS. Abnormal MetS components have a high probability of persisting. Early identification of each abnormal component and attendant intervention are vital in adolescents to minimize the future risk of cardiometabolic disorders.


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