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Find articles by Min-Ho Shin . Serum was separated on site within 30 min and was stored at . There was no linear relationship between AST and incidence of .. the Coronary Artery Risk Development in Young Adults (CARDIA) Study. Shin MH, Jeong SK, Nam HS, LEE YH, Park KS, Ryu SY, Choi SW. It's been over a month since the young and insanely popular stars were Lee Min Ho was in Paris in late Feburary to shoot the just released W. Published online May doi: [/jdi] . Many reports have confirmed a strong relationship between metabolic syndrome and incident.
In Korea, Oh et al. Also, the prevalence of childhood overweight or obesity was increased 1. Childhood obesity is a risk factor for cardiovascular disease and metabolic syndrome MS in adulthood and thus affects morbidity and mortality in later life 245678. Recently, reduced physical activities were considered as one of the primary causes of the childhood obesity 19. Physical fitness is defined as "the ability to carry out daily tasks without fatigue.
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Motor-related fitness includes power, agility, and balance 1011 Several studies have reported the negative association of physical fitness with childhood obesity 101314 Also, evidence from previous studies suggests that low CRF is a major risk factor of metabolic abnormalities, and also known as an independent and strong predictor of MS 16 In Korea, some studies have been reported the negative association between obesity and physical fitness However, there are a few reports which examined the association befigtween metabolic risk factors and physical fitness.
The purpose of the present cohort study is to determine the association of CRF with obesity and metabolic risk profiles in Korean elementary and middle school students. Materials and methods 1.
Subjects This study included elementary school 4th grade school students, aged 9—10 years males and females and male-middle 1st grade school students, aged 12—13 years from Chungju city, South Korea.
The study subjects were recruited from 3 elementary and 2 middle schools. The data collection was carried out between April and May in the participated schools.
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Of these subjects, 41 were excluded due to incomplete information or having below 5th percentile of BMI according to age and sex. Ultimately, our study population included elementary school 4th grade students males, females and male-middle school 1st grade male students. Among them, only students, which composed of 88 elementary school student 35 males, 53 females and male-middle school students, gathered from 2 elementary and 1 middle school, were performed laboratory examination.
Measurements Height to the nearest 0. Weight and body fat percentage were assessed using bioelectrical impedance analysis method IOI, Jawon Medical.
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Both height and weight were measured with participants in light clothing and without shoes. BMI was calculated as the weight in kilograms divided by height in meters squared. Waist circumference WC and blood pressure BP measurement were performed by trained nurses. WC was measured between the lowest rib and the middle of the iliac crest to the nearest 0.
Waist to height ratio WHtR was calculated as the waist kg divided by the height cm from obtained data BP was measured while subjects were in a sitting position following a 5-minutes rest period. Systolic and diastolic BP were measured, by a mercury sphygomomanometer CL, Young-Pung Medical, Seoul, Korea with a proper sized cuff that covers two-thirds of the upper arm. BP was measured 2 times, average was used in the analysis.
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To assess serum levels of biochemical markers, blood samples were obtained from the antecubital veins of the subjects following an overnight, 10 hours fast. Blood specimens were sampled by trained nurses. To test which criteria enable improved predictability for the development of diabetes, we reviewed several statistical analyses that varied according to sensitivity, specificity, positive predictive values PPVsnegative predictive values NPVs and the area under the receiver operating characteristics curve aROC.
The sensitivity ranged from 0. PPVs ranged from 0. A factor analysis study of 1, Pima Indians confirmed that the WHO definition led to superior sensitivity and specificity compared with the NCEP definition, because the former weights the presence of insulin resistance Also, in a longitudinal survey of 3, Mauritius subjects, the WHO definitions resulted in a higher value of sensitivity However, differences among the aROCs range 0.
Relationship between Metabolic Syndrome and Lower Urinary Tract Symptoms: Hallym Aging Study
The adjusted RR for participants with three abnormalities or four more abnormalities was 4. The estimated RR for participants with three abnormalities or four more abnormalities was 7. Another study that was not based on one of the major definitions also reported that the RR relates to three or more risk factors The trend is also similar to the IDF definition 4.