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北京市 3 类职业人群超重肥胖及其影响因素研究
引用本文:赵芳红,李英华,刘敏,陶茂萱,万国峰.北京市 3 类职业人群超重肥胖及其影响因素研究[J].中国健康教育,2014(3):202-207.
作者姓名:赵芳红  李英华  刘敏  陶茂萱  万国峰
作者单位:[1]北京市疾病预防控制中心,北京100013 [2]中国健康教育中心(卫生部新闻宣传中心),北京100011 [3]中国疾病预防控制中心慢性非传染性疾病预防控制中心,北京100050
基金项目:国家863计划课题(2008AA02Z403)
摘    要:目的 了解北京市3类职业人群超重肥胖流行状况及其影响因素,为职业人群健康干预提供参考.方法 采用分层整群抽样的方法,在北京市选取4个城区,每个城区选择1~2家单位,共选择6家单位,对单位内所有18 ~60岁职工进行调查.职业涉及公务员、科技人员和企业人员3类.结果 共回收有效问卷1898份,问卷有效率为98.8%.调查对象中男性985人(51.9%),女性898人(47.3%);公务员1106人(58.3%),科技人员432人(22.8%),企业人员360人(19.0%).调查对象的超重率为29.8%,肥胖率为9.2%.其中,公务员超重率为31.5%,肥胖率为9.0%;科技人员超重率为31.1%,肥胖率为7.4%;企业人员超重率为22.8%,肥胖率为11.8%.不同职业人群超重肥胖的影响因素分析结果显示,公务员人群中,性别(OR=0.697,95%CI:0.502 ~0.936)、年龄(OR=1.042,95% CI:1.026~1.058)、饮酒(OR=1.499,95% CI:1.083 ~1.898)和加班频率(OR=0.830,95% CI:0.697~0.988)是超重肥胖的影响因素;科技人员中,年龄(OR=1.031,95% CI:1.010~1.053)、吸烟(OR =0.610,95% CI:0.236 ~1.577)、工作时间(OR=0.641,95% CI:0.422~0.974)是超重肥胖的影响因素;企业人员中,性别(OR=0.505,95% CI:0.288 ~0.886)、年龄(OR=1.033,95% CI:1.008~1.059)、吸烟(OR=1.630,95% CI:0.605~4.389)是超重肥胖的影响因素.结论 3类职业人群中的超重和肥胖的流行情况不容忽视,开展健康干预活动刻不容缓.

关 键 词:超重肥胖  职业人群  影响因素

Prevalence of overweight/obesity and its relevant influencing factors among occupational populations in Beijing
ZHAO Fang-hong,LI Ying-hua,LIU Min,TAO Mao-xuan,WAN Guo-feng.Prevalence of overweight/obesity and its relevant influencing factors among occupational populations in Beijing[J].Chinese Journal of Health Education,2014(3):202-207.
Authors:ZHAO Fang-hong  LI Ying-hua  LIU Min  TAO Mao-xuan  WAN Guo-feng
Institution:. Beifing Center for Disease Control and Preven- tion, Beijing 100013, China
Abstract:Objective To understand prevalence of overweight and its influencing factors among occupational pop- ulations in Beijing. Methods With muhi-stage stratified sampling, 4 regions were selected in Beijing and one or two units were randomly selected from each region. All of staffs aged 18 -60 years old in 6 units were enrolled including civil servants, technicians and enterprise personnel. Results The valid rate of questionnaire was 98.8%. 1898 persons were investigated including 985 ( 51.9% ) males, 898 females ( 47. 3% ). 1106 administrative staffs ( 58. 3% ) , 432 technical persons (22. 8% ) and 360 enterprise groups (19. 0% ). The numbers of civil servants, technical and enterprise personnel were 1106, 432 and 360, respectively. The rates of overweight were 29. 8% and the rates of obesity were 9. 2%. All of them, the rates of overweight and obesity of civil servants were 31.5% and 9. 0% , 31.1% and 7.4% in technical personnel, 22. 8% and 11.8% in enterprise groups, respectively. Logistic multi-factors analysis showed that gender ( OR =0. 697, 95% CI: 0.502-0.936), age (OR=1.042, 95% CI: 1.026-1.058), drinking (0R=1.499, 95% CI: 1.083-1.898), frequency of work overtime ( OR = 0. 830, 95% CI: 0. 697 - 0. 988 ) were irff/uencing factors in civil servants. Age ( OR = 1.031, 95% CI: 1.010-1.053), smoking (OR=0.610, 95% CI: 0.236-1.577), work time (0R=0.641, 95% CI:0. 422 -0. 974) were influencing factors in technical staffs. Gender ( OR = 0. 505, 95% C1: O. 288 - 0. 886), age ( OR = 1. 033, 95% CI: 1. 008 - 1. 059) , smoking ( OR = 1. 630, 95% CI: 0. 605 -4. 389) were influencing factors in enterprise groups. Conduslon Health education and health promotion activities should be enhanced in occupational popula- tions in order to help them establish health habits.
Keywords:Overweight  Occupational population  Influencing factor
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