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1.
Korean Journal of Family Practice ; (6): 256-261, 2020.
Article | WPRIM | ID: wpr-830158

ABSTRACT

Background@#Previous studies have shown that elevated ferritin level and neutrophil to lymphocyte ratio (NLR) are risk factors of chronic low-gradeinflammation and contribute to the onset and progression of cardiovascular disease. In addition, metabolic syndrome has a similar relevance; thus,in this study, we aimed to determine how well metabolic syndrome could be predicted by measuring ferritin level and NLR. @*Methods@#From January 2016 to September 2018, 1,815 adults who underwent medical interviews, physical measurements, and blood tests at amedical examination center of a university hospital in Seoul were evaluated. Data were analyzed using the Spearman correlation analysis, anaverage comparison using analysis of variance, and a t test. The prevalence of metabolic syndrome was determined according to ferritin level andNLR. @*Results@#We found a significant correlation between the components of metabolic syndrome and ferritin level, but not NLR. The NLRs were divided intoquartiles for comparison with the mean values of the components of metabolic syndrome, but the results were not significant. A significantdifference was found only in ferritin level when we compared the mean values of ferritin level and NLR according to the presence or absence of ametabolic syndrome diagnosis. When ferritin level and NLR were considered simultaneously, the prevalence of metabolic syndrome tended tochange only when the ferritin level changed. @*Conclusion@#In healthy Korean adults, ferritin level, but not NLR, could be used as a predictor of metabolic syndrome.

2.
Korean Journal of Family Practice ; (6): 68-73, 2020.
Article | WPRIM | ID: wpr-830139

ABSTRACT

Background@#Body mass index (BMI) has limitations in determining body fat percentage and body fat distribution, and causes misclassification of body fat-defined obesity. As high body fat percentage is associated with mortality, an accurate assessment of body fat percentage is considered clinically important. Recently, Woolcott and Bergman reported a relative fat mass (RFM) equation which calculated the body fat percentage using the height and waist circumferences. However, as RFM has been studied only in European-, Mexican-, and African-Americans, an assessment in Asians was needed. Therefore, we aimed to evaluate the applicability of RFM in Korean adults. @*Methods@#This study included 7,733 adults who visited a Sanggye Paik Hospital Health Promotion Center from May 1, 2016 to November 12, 2018. BMI and RFM were calculated by measuring height, weight, and waist circumference. The total body fat (TBF) percentage was measured by bioelectrical impedance analysis. We compared the BMI, RFM, and TBF percentage to assess the applicability of RFM in Korean adults. @*Results@#RFM had a statistically significant correlation with TBF percentage in both male and female (male: β=0.808, R2=0.653, female: β=0.766, R2=0.587, P<0.001). In the Bland-Altman plot, RFM showed good agreement with the TBF percentage within the 95% confidence interval. @*Conclusion@#The RFM equation can be used to predict TBF percentage in Korean adults.

3.
Korean Journal of Family Practice ; (6): 83-88, 2019.
Article in Korean | WPRIM | ID: wpr-787427

ABSTRACT

BACKGROUND: Osteoporosis is a systemic skeletal disease characterized by reduced bone mineral density and skeletal microstructural abnormalities. We investigated the correlation between serum uric acid (SUA) levels and bone mineral content (BMC) values as a surrogate marker of bone health. Additionally, we assessed whether the correlation, if any, was evident even after classifying the study population into two groups based on a diagnosis of obesity in these individuals.METHODS: This study included 936 women who visited the healthcare centers that participated in this study. Fasting blood samples were obtained from all women to measure SUA, BMC of the lumbar spine was measured using dual-energy X-ray absorptiometry. We evaluated the correlation between SUA and BMC in obese and non-obese groups.RESULTS: SUA concentration and BMC were positively correlated (β=0.257, P=0.001); however, this correlation was significant only in the obese group (β=0.203, P=0.001).CONCLUSION: SUA concentration and BMC are positively correlated in women diagnosed obesity.


Subject(s)
Female , Humans , Absorptiometry, Photon , Biomarkers , Body Mass Index , Bone Density , Delivery of Health Care , Diagnosis , Fasting , Obesity , Osteoporosis , Spine , Uric Acid
4.
Korean Journal of Health Promotion ; : 129-136, 2017.
Article in English | WPRIM | ID: wpr-21612

ABSTRACT

BACKGROUND: Studies on the relationship between vitamin D and visceral fat area (VFA; intra-abdominal fat area) have been actively conducted. But, there is a few Korean population-based studies about the association between serum vitamin D level and VFA. The aim of our study was to explore the correlation between serum 25-hydroxyvitamin D (25[OH]D) levels and VFA measured using bioelectrical impedance analysis (BIA; electric impedance) in healthy Korean adults. METHODS: This cross-sectional study involved 1,945 adults aged 20-70 years who visited a health promotion center. All subjects underwent the BIA to estimate the VFA. Serum 25(OH)D level was measured using chemiluminescent immunoassay. Multiple regression analysis was performed to identify independent correlation of VFA and serum 25(OH)D level. RESULTS: The prevalence of vitamin D deficiency (25[OH]D: 20-29 ng/mL) and insufficiency (25[OH]D <20 ng/mL) were 54.4% and 38.1%, respectively. After having adjusted age and season, VFA were negatively associated with serum 25(OH)D levels in both men (P<0.001) and women (P<0.001). The obese group with VFA ≥ 100 cm² had significant lower serum 25(OH)D level in men (P<0.001) and women (P=0.0034). CONCLUSIONS: VFA measured using BIA could be negatively associated with serum 25(OH)D levels in healthy Korean adult.


Subject(s)
Adult , Female , Humans , Male , Cross-Sectional Studies , Electric Impedance , Health Promotion , Immunoassay , Intra-Abdominal Fat , Obesity , Prevalence , Seasons , Vitamin D Deficiency , Vitamin D , Vitamins
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