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重庆某地区小学儿童超重和肥胖的危险因素研究
引用本文:李思杰,周琦,彭焱.重庆某地区小学儿童超重和肥胖的危险因素研究[J].中国健康教育,2014(3):235-237,244.
作者姓名:李思杰  周琦  彭焱
作者单位:重庆市渝中区疾病预防控制中心,重庆400010
摘    要:目的 了解重庆市某地区2所小学儿童超重、肥胖的危险因素,为儿童超重、肥胖的预防和控制提供依据.方法 采用多阶段随机整群抽样的方法对重庆市某市区2所小学511名学生进行体格检查和问卷调查,并对其家长进行问卷调查.结果 儿童超重和肥胖检出率分别为10.57%和10.18%.多因素Logistic回归分析结果显示,性别、不同学校、儿童吃饭速度和儿童出生时体重是超重和肥胖的影响因素(P<0.05),男生(OR=2.427,95% CI:1.444~4.077)、城市学校(OR=2.537,95% CI:1.578~4.079)、儿童吃饭速度快(OR=2.013,95% CI:1.183~3.424)、儿童出生时体重越重(OR=3.344,95% CI:2.098~5.331)则越容易导致超重、肥胖发生.结论 鉴于上述结果,呼吁相关部门重视儿童青少年超重、肥胖的防治,针对儿童肥胖的成因采取行之有效的干预措施.

关 键 词:超重  肥胖  儿童  影响因素  Logistic回归分析

Analysis on risk factors of overweight and obesity among primary school children in certain unban district in Chongqing
Institution:LI Siojie, ZHOU Qi, PENG Yah. Yuzhong District Center for Disease Control and Prevention of Chongqing, Chongqing 400010, China
Abstract:Objective To explor risk factors of overweight and obesity among children in 2 primary schools in cer- tain unban district in Chongqing, and provide basis for overweight and obesity prevention and control. Methods A cross- sectional survey with stratified cluster sampling method was carried out in a urban district. 511 students and their parents in 2 primary schools were randomly selected. Height, body weight, waist circumference and blood pressure were measured for all these students. General information, diet behaviors and habits and physical activities for children was obtained by student questionnaire. Results The prevalence of overweight and obesity were 10. 57% and 10. 18%. The result of logistic muhi- factors regression analysis showed that influence factors were gender, school type, eating speed and birth weight. Male ( OR =2.427, 95% CI: 1.444-4.077), urban school (0R=2.537, 95% CI: 1.578-4.079), fast eating (OR= 2.013, 95% CI: 1. 183-3.424) and high birth weight (OR =3.344, 95% CI: 2.098 -5.331) were the risk fac- tors. Conclusion The results in our study indicate that it is necessary to pay attention to effective methods for overweight and obesity control and prevention among children and adolescents.
Keywords:Overweight  Obesity  Children  Risk factors  Logistic regression analysis
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