文章摘要
陈志华,张梅,李镒冲,黄正京,王丽敏.2012年中国流动人口慢性病危险因素聚集性及其影响因素分析[J].中华流行病学杂志,2017,38(9):1226-1230
2012年中国流动人口慢性病危险因素聚集性及其影响因素分析
Co-prevalence of chronic disease risk factors and influencing factors in floating population in China
收稿日期:2017-01-12  出版日期:2017-09-09
DOI:10.3760/cma.j.issn.0254-6450.2017.09.017
中文关键词: 慢性非传染性疾病  流动人口  危险因素  聚集性
英文关键词: Chronic and non-communicable disease  Floating population  Risk factor  Co-prevalence
基金项目:
作者单位E-mail
陈志华 100050 北京, 中国疾病预防控制中心慢性非传染性疾病预防控制中心监测室  
张梅 100050 北京, 中国疾病预防控制中心慢性非传染性疾病预防控制中心监测室  
李镒冲 100050 北京, 中国疾病预防控制中心慢性非传染性疾病预防控制中心监测室  
黄正京 100050 北京, 中国疾病预防控制中心慢性非传染性疾病预防控制中心监测室  
王丽敏 100050 北京, 中国疾病预防控制中心慢性非传染性疾病预防控制中心监测室 wlm65@126.com 
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中文摘要:
      目的 了解2012年我国流动人口吸烟、过量饮酒、不合理膳食、业余时间身体活动不足、超重/肥胖5类危险因素的流行现状、聚集性及其影响因素。方法 利用2012年中国慢性病及其危险因素监测流动人口专题调查数据。该调查在全国31个省份和新疆生产建设兵团的170个县,采用按行业分层多阶段抽样方法,共48 704名18~59岁流动人口纳入样本。分性别计算流动人口5类危险因素流行率及聚集性,并利用秩和检验进行比较。结果 2012年我国18~59岁流动人口中有27.4%具有1种危险因素,37.1%具有2种危险因素,28.5%有≥ 3种危险因素。危险因素数量与年龄(P<0.05)、经济收入(P<0.05)和迁移时间(P<0.05)呈正相关,与文化程度(P<0.05)呈负相关。男性、汉族、从事建筑业和跨省流动的流动人口具有更多危险因素(P<0.05)。结论 我国18~59岁流动人口5类危险因素广泛流行,且多重危险因素聚集现象严重,应加强流动人口不健康行为生活方式综合干预。
英文摘要:
      Objective To investigate the prevalence and co-prevalence of tobacco use, excessive alcohol use, insufficient intake of vegetable and fruit, physical inactivity, and overweight or obesity in floating population and influencing factors in China, 2012. Methods Data from the 2012 China Chronic Disease Risk Factor Survey in Floating Population in China were used. In this survey, 48 704 people aged 18-59 years in floating population were selected through stratified multistage clustering sampling in 170 counties and districts from 31 province (autonomous regions and municipalities) and Xinjiang Production and Construction Corps. The gender specific prevalence and co-prevalence of five risk factors were estimated, and the rank sum test was used for result comparison. Results Among the people surveyed, 27.4% had one risk factor, 37.1% had two risk factors, 28.5% had ≥ 3 risk factors. The prevalence or co-prevalence of risk factors were positively correlated with age (P<0.05), income level (P<0.05) and migration time (P<0.05), and negatively correlated with educational level (P<0.05). People who were males, in Han ethnic group, engaged in construction and from other provinces were more likely to have more risk factors (P<0.05). Conclusion The prevalence and co-prevalence of tobacco use, excessive alcohol use, insufficient intake of vegetable and fruit, physical inactivity and overweight or obesity were high in floating population in China, suggesting that it is necessary to strengthen the comprehensive behavior intervention in floating population.
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