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肥胖儿童非酒精性脂肪肝影响因素分析 被引量:16

Study on Influencing Factors of Nonalcoholic Fatty Liver in Obesity Children
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摘要 目的了解肥胖儿童非酒精性脂肪肝的流行现状和危险因素,发现肥胖儿童脂肪肝的高危人群。方法对117例6~14岁肥胖儿童青少年进行体格测量和空腹抽血进行肝功能、血脂、血糖、血清胰岛素水平和C肽等方面的检测,同时空腹进行腹部B超检查,根据B超结果分为脂肪肝组和非脂肪肝组。统计方法包括t检验和χ2检验和Logistic回归分析。结果在117名儿童中,共检出脂肪肝患儿45例,检出率38.5%;其中男生中检出40例,检出率44.4%;女生中检出5例,检出率18.5%。(2)多因素Logistic回归分析显示肥胖儿童非酒精性脂肪肝独立的危险因素有5个,分别为性别(RR=0.022,P=0.010)、BMI值(RR=1.357,P=0.010)、腰围(RR=9.004,P=0.036)、ALT(RR=1.059,P=0.005)和血清胰岛素水平(RR=1.141,P=0.026)。结论肥胖儿童伴有脂肪肝者较普遍;肥胖儿童脂肪肝与性别、肥胖程度及类型、肝脏功能受损和高胰岛素水平密切相关。 Objective To study the prevalence and influencing factors of nonalcoholic fatty liver in obesity children,so as to find out the subpopulation at higher risk.Methods A total of 117 obesity children aged 6-14 years were recruited.All of the research objects received physical examination and abdominal B-ultrasound examination.Blood was collected for liver function test and determination of blood lipid,blood glucose,serum insulin and C-peptide.They were assigned into fatty liver group and non-fatty liver group according to the results of abdominal B-ultrasound examination for data analysis by t-test,Chi-square test and Logistic regression analysis.Results Totally,45 out of 117(38.5%) obesity children were found to have fatty livers.The detection rate of fatty liver in boys was 44.4%(40/90) and 18.5% in girls(5/27).Logistic regression analysis indicated that the independent risk factors of nonalcoholic fatty liver in obesity children included gender(RR=0.022,P=0.010),BMI(RR=1.357,P=0.010),waist circumference(RR=9.004,P=0.036),serum ALT(RR=1.059,P=0.005)and serum insulin level(RR=1.141,P=0.026).Conclusions Fatty liver is popular in obesity children.Gender,obesity degree and pattern,liver function injury and higher serum insulin are closely associated with nonalcoholic fatty liver in obesity children.
机构地区 湖南省儿童医院
出处 《实用预防医学》 CAS 2013年第3期277-279,共3页 Practical Preventive Medicine
关键词 肥胖儿童 非酒精性脂肪肝 流行现状 影响因素 LOGISTIC回归分析 Obesity children Nonalcoholic fatty liver Prevalence Influencing factors Logistic regression analysis
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