Prevalence of impaired fasting glucose and analysis of risk factors in Han adolescents |
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Authors: | Qiang Lu Fu-Zai Yin Chun-Ming Ma Bo-Wei Liu Dong-Hui Lou Rui Wang Guang-Fei Wu Gai-Ling Han Yi Shen Bo Liu Chun-Mei Qin |
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Affiliation: | 1. School of Biotechnology, Madurai Kamaraj University, Madurai 625 021, India;2. Departments of Medicine, Physiology/Biophysics, University of California, Irvine, CA;3. Department of Veterans Affairs Medical Center, Long Beach, CA 90822, USA;4. Kanchi Kamakoti CHILDS Trust Hospital, Nungambakkam, Chennai 600 034, India;5. Department of Cardiothoracic Surgery, Madurai Medical College, Madurai 625 020, India;1. Bone Marrow Transplantation Center, Department of Hematology, The First Affiliated Hospital, Zhejiang University, Hangzhou, China;2. Department of Virology, City of Hope National Medical Center, Duarte, CA, USA |
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Abstract: | ObjectiveTo evaluate the prevalence of impaired fasting glucose (IFG) and its relationship with cardiovascular risk factors in Han adolescents aged 13 to 18 years.MethodsStep 1: A cross-sectional study was conducted on 3937 Han adolescents. IFG was defined as a fasting glucose of 5.6 to 7.0 mmol/l. Measurements included anthropometric measurements, fasting plasma glucose (FPG), and serum lipids. Step 2: We identified 60 adolescents with IFG from the IFG group using a random number table, and 60 adolescents with normal fasting glucose (NFG) were matched for age and gender with the random IFG sample. Serum true insulin (TI) was further measured.Results(1) The prevalence of IFG was 3.5% and was similar in boys and girls (3.9% vs. 3.1%, P=.177). The prevalence of IFG in adolescents with a family history of type 2 diabetes (FHD) was higher than in adolescents without FHD (6.3% vs. 2.5%, P=.000). (2) In logistic regression, the clustering of cardiovascular risk factors among adolescents with IFG was 1.889 (95% CI: 1.125–3.171, P=.016) times compared with adolescents with NFG adjusted by age and gender. (3) Multiple linear regression analysis using FPG as the dependent variable showed that waist circumference (β=0.003, P=.000) was a significant independent predictor. (4) In Step 2, the IFG group showed significantly higher levels of lnTI and lnHOMA-IR than the NFG group (P<.01). FPG was a significant independent predictor for lnTI (β=0.478, P=.000) and lnHOMA-IR (β=0.671, P=.000).ConclusionWe found a high prevalence of IFG in Han adolescents. Genetic susceptibility and abdominal obesity were the main factors causing adolescent IFG. Adolescents with IFG increased the clustering of cardiovascular risk factors. |
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