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薛利, 张文婕, 陈饶等. 成都市和昆明市城市新移民与城市居民超重和肥胖现状分析研究[J]. koko体育app 学报(医学版), 2018, 49(6): 944-949.
引用本文: 薛利, 张文婕, 陈饶等. 济南市和济南市大的城市新移名与大的城市住户超重和肥胖型状况阐述调查[J]. 贵州专科大学学报(生物学版), 2018, 49(6): 944-949.
XUE Li, ZHANG Wen-jie, CHEN Rao. et al. Overweight and Obesity among New Urban Migrants in Chengdu and Kunming[J]. Journal of Sichuan University (Medical Sciences), 2018, 49(6): 944-949.
Citation: XUE Li, ZHANG Wen-jie, CHEN Rao. et al. Overweight and Obesity among New Urban Migrants in Chengdu and Kunming[J]. Journal of Sichuan University (Medical Sciences), 2018, 49(6): 944-949.

成都市和昆明市城市新移民与城市居民超重和肥胖现状分析研究

Overweight and Obesity among New Urban Migrants in Chengdu and Kunming

  • 摘要: 目的 研究城市新移民的超重和肥胖情况,为改善城市新移民人群的健康提供依据。方法 采用多阶段分层整群抽样方法,在昆明市和成都市中心城区和周边城区进行抽样调查,对调查居民进行入户面对面问卷调查;对调查对象的超重和肥胖影响因素进行单因素分析(卡方检验)和多因素logistic回归分析。结果 纳入样本11 626例。城市新移民(n=7 555)超重率和肥胖率分别为31.2%和6.7%,城市居民(n=4 071)的超重率和肥胖率分别为24.9%和4.3%。城市新移民中,性别、年龄、文化水平、婚姻状况和饮酒状况是超重或肥胖的影响因素,在城市居民中,性别、年龄、文化程度和饮酒状况是超重或肥胖的影响因素。结论 城市新移民比城市居民更容易超重或肥胖,应该加强对城市新移民的健康教育和健康管理。  
    Abstract: Objective To determine the prevalence of overweight and obesity in new urban migrants. Methods A questionnaire survey was conducted on 21 651 urban residents in the downtown and surrounding urban areas of Kunming and Chengdu selected through a multi-stage stratified cluster sampling method. Factors associated with overweight and obesity were identified using Chi-square tests and multivariate logistic regression models. Results 11 626 people were enrolled. The new urban migrants (n=7 555) had 31.2% overweight and 6.7% obesity, compared with 24.9% and 4.3%, respectively, in the urban residents(n=4 071). Gender, age, educational, marital status and alcohol consumption were associated with overweight and obesity in the new urban migrants. Gender, age, education and alcohol consumption were predictors of overweight and obesity of the urban residents. Conclusion Urban new immigrants are more likely to be overweight and obese than urban residents, although predictors for overweight and obesity remain similar.  
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