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Your search keyword '"Chen, Yi"' showing total 2 results
2 results on '"Chen, Yi"'

1. Effects of Interaction Between Dopamine D2 Receptor and Monoamine Oxidase A Genes on Smoking Status in Young Men.

Author

Huang, Chih-Ling, Ou, Wei-Chih, Chen, Pei-Lain, Liu, Chen-Nu, Chen, Mei-Chih, Lu, Chia-Chen, Chen, Yi-Chun, Lin, Min-Hsuan, and Huang, Ching-Shan

Subjects
ANALYSIS of variance, CHI-squared test, CONFIDENCE intervals, DOPAMINE agonists, GAS chromatography, MASS spectrometry, QUESTIONNAIRES, RESEARCH funding, SMOKING, STATISTICS, T-test (Statistics), DATA analysis, COTININE, UNDERGRADUATES, CROSS-sectional method, DATA analysis software, DESCRIPTIVE statistics, ODDS ratio, MANN Whitney U Test
Published
2015
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2. Risk Factors Correlated With Risk of Insulin Resistance Using Homeostasis Model Assessment in Adolescents in Taiwan.

Author

Lin, Shiyng-Yu, Su, Chien-Tien, Hsieh, Yi-Chen, Li, Yu-Ling, Chen, Yih-Ru, Cheng, Shu-Yun, Hu, Chien-Ming, Chen, Yi-Hua, Hsieh, Fang-I, and Chiou, Hung-Yi

Subjects
INSULIN resistance risk factors, ANTHROPOMETRY, BLOOD testing, BLOOD pressure, CHI-squared test, CONFIDENCE intervals, HOMEOSTASIS, INTERVIEWING, MATHEMATICAL models, QUESTIONNAIRES, RESEARCH funding, THEORY, BODY mass index, CROSS-sectional method, DATA analysis software, WAIST circumference, ODDS ratio, ADOLESCENCE
Abstract

The study aims to discover risk factors significantly correlated with insulin resistance among adolescents in Taiwan. A total of 339 study subjects were recruited in this cross-sectional study. A self-administered questionnaire and physical examinations including anthropometrics and biochemistry profiles were collected. Insulin resistance was assessed using homeostasis model assessment for insulin resistance (HOMA-IR). Study subjects had a significantly increased risk of IR for those with abnormal level of body mass index (odds ratio [OR] = 3.54; 95% confidence interval [CI] = 1.81-6.91), body fat (OR = 2.71; 95% CI = 1.25-5.88), and waist circumference (OR = 25.04; 95% CI = 2.93-214.14) when compared with those who have normal values. Furthermore, a significantly joint effect of 10.86-fold risk for HOMA-IR abnormality among body fat, body mass index, and systolic blood pressure was observed. The identification of risk factors significantly correlated with IR will be important to prevent metabolic syndrome–related diseases and complications for adolescents in their future life. [ABSTRACT FROM PUBLISHER]

Published
2015
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