Abstract
曹洋,唐迅,杨莉,李娜,吴轶群,范雯怡,刘建江,于立平,徐海涛,刘武军,温苏申,胡永华.应用EQ-5D量表对北京房山农村中老年人慢性病患者生命质量及影响因素的研究[J].Chinese journal of Epidemiology,2012,33(1):17-22
应用EQ-5D量表对北京房山农村中老年人慢性病患者生命质量及影响因素的研究
Influence of chronic diseases on health related quality of Iire in middle-aged and elderly people from rural communities:application of EQ-SO scale on a Health Survey in Fangshan,Beijing
Received:June 10, 2011  
DOI:
KeyWord: 慢性病  生命质量  人群归因危险度百分比  欧洲五维度健康量表  Probit回归
English Key Word: Chronic diseases  Health related quality of life  Population attributable risk proportion  European Quality ofLife一5 Dimensions  Probit regression
FundProject:国家自然科学基金(30671807.30872173);国家重点基础研究发展计划(973计划)(2006CB503903)
Author NameAffiliationE-mail
CAO Yang Department of Epidemiology and Biostatistics  
TANG Xun Department of Epidemiology and Biostatistics  
YANG Li Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing 10019l, China  
LI Na Beijing Fangshan Health Bureau  
WU Yi-qun Department of Epidemiology and Biostatistics  
FAN Wen-yi Department of Epidemiology and Biostatistics  
LIU Jian-jiang Beijing Fangshan Health Bureau  
YU Li-ping Department of Epidemiology and Biostatistics  
XU Hai-tao Department of Epidemiology and Biostatistics  
LIU Wu-jun Department of Epidemiology and Biostatistics  
WEN Su-shen Department of Epidemiology and Biostatistics  
HU Yong-hua Department of Epidemiology and Biostatistics Email:yhhu@bjmu.edu.cn 
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Abstract:
      目的 研究高血压、糖尿病、冠心病和脑卒中四种常见慢性病(四病)对农村中老年人生命质量的影响,探讨其主要影响因素与特点。方法 采取整群抽样方法,对北京市房山区中老年人进行健康体检和流行病学问卷调查。采用欧洲五维度健康量表(EQ一5D)进行生命质量测量。应用Probit同归模型,以人群归因危险度百分比(PAR%)为核心指标,分析四病对生命质量各维度的影响及其控制的公共卫生学意义。结果 共调查5345名研究对象,72.1%患四病。慢性病患者的平均EQ一5D健康指数低于非患者,差异有统计学意义(£=15.082,P<0.001)。慢性病患者在各健康维度的生命质量fbj题比例均高于不患慢性病者(尸结论 农村社区中老年人冠心病患者在疼痛不适维度发生问题的风险最高。患脑卒中在自我照顾和平常活动维度发生问题的风险最高。冠心病患者发生健康状态不良的风险最大。对该地区控制高m压可以较大程度提高人群生命质量。
English Abstract:
      To evaluate the health related quality of life(HRQoL)and to explore the influencing factors related to the prevalence of the essential hypertension.diabetes,coronary heart disease(CHD)and stroke in middle.aged and elderly people from rural communities.Methods Aiotal of 5345 individuals were chosen from a 20 l 0 Health Survey in Fangshan,Beijing.Self-designed questionnaire was applied to collect the information on general health-related behaviors,chronic conditions。self-rated health,blood pressure and HRQoL with the EuroQoL questionnaire(EQ一5D) were measured.Probit regression model Was used to identify the influencing factors On HRQoL,adjusting age。marriage status,education level。smoking,alcohol intake,physical activity and control of blood pressure.Population Attributable Risk Proportion(PARP)for estimating the influence of chronic disease on HR00L was also calculated.Results The average EQ一5D index was 0.923±O.145.with 72.1%ofthe overalI respondents in the status ofhaving chronic diseases.Participants with chronic diseases had significantly lower EQ一5D index(0.907±0.155)than those without(O.963±O.105)(t=15.082,P<0.001).Significant relations were found between a 10wer HRQoL and chronic diseases.Relative risk(RR)and 95%confidence interval(95%CI)of poor HRQoL in populations with hypertension,diabetes,CHD and stroke were 1.686(95%C,:1.519一1.871),1.725(95%C/:1.502 1.981)。1.869(95%CI:1.663—2.099).and 1.759(95%CI:1.474—2.089)respectively.The most influential disease appearedto be stroke in male(RR=1.929,95%Ch 1.462—2.546).whereas CHD in female individuals(RR=1.926,95%CI:1.671—2.220).Rates ofPARP(队R%)for poor HRQoL in chronic disease subgroups were as follow:hypertension 3 1.05%,CHD 23.39%.diabetes 4.84%andstroke 4.44%,respectively.Conclusion This study suggested that stroke,at individual level.was the major influentiaI factor to HRQoL.However。hypertension remained the leading preventable influential factor to HRQoL at the population level.
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