Abstract
杜婧,李刚,高燕琳,韦再华,王晶,苏健婷,刘庆萍,王苹.北京市成年人健康期望寿命影响因素分析[J].Chinese journal of Epidemiology,2016,37(8):1087-1090
北京市成年人健康期望寿命影响因素分析
Influencing factors on healthy life expectancy in adults in Beijing
Received:January 12, 2016  
DOI:10.3760/cma.j.issn.0254-6450.2016.08.006
KeyWord: 健康期望寿命  影响因素  广义相加模型  伤残测度
English Key Word: Healthy life expectancy  Influencing factors  Generalized additive models  Severity-weighted prevalence of disability
FundProject:北京市自然科学基金(7142038)
Author NameAffiliationE-mail
Du Jing Institute for Information Statistics Center, Beijing Center for Disease Control and Prevention, Beijing 100013, China  
Li Gang Institute for Information Statistics Center, Beijing Center for Disease Control and Prevention, Beijing 100013, China  
Gao Yanlin Institute for Information Statistics Center, Beijing Center for Disease Control and Prevention, Beijing 100013, China  
Wei Zaihua Institute for Information Statistics Center, Beijing Center for Disease Control and Prevention, Beijing 100013, China wzh_g@163.com 
Wang Jing Institute for Information Statistics Center, Beijing Center for Disease Control and Prevention, Beijing 100013, China  
Su Jianting Institute for Information Statistics Center, Beijing Center for Disease Control and Prevention, Beijing 100013, China  
Liu Qingping Institute for Information Statistics Center, Beijing Center for Disease Control and Prevention, Beijing 100013, China  
Wang Ping Institute for Information Statistics Center, Beijing Center for Disease Control and Prevention, Beijing 100013, China  
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Abstract:
      目的 了解北京市成年人健康期望寿命(HALE)主要影响因素。方法 采用沙利文法,利用北京市成年人居民自报健康调查的数据和HOPIT模型计算得到北京市各年龄组的伤残测度和HALE,以伤残测度为因变量利用广义相加模型分析评价北京市成年人HALE的影响因素。结果 影响北京市成年人HALE的主要影响因素有年龄(t=40.351,P<0.001)、性别(t=9.689,P<0.001)、学历(t=5.021,P<0.001)、体育锻炼(t=5.487,P<0.001)和饮酒(t=-2.380,P=0.017)有统计学意义,人均月收入(χ2=3.949,P=0.044)对北京市成年人HALE的影响是非线性的。结论 收入较低和较高都会导致伤残测度的增加,从而降低HALE,提倡健康的生活方式及重点加强女性的健康保健服务应成为今后工作的重点。
English Abstract:
      Objective To understand the main influencing factors related to healthy life expectancy (HALE) among adults in Beijing. Methods The calculation on health-adjusted life expectancy was performed by Sullivan Methods. Data from the self-reported health survey program on adults in Beijing 2012 was gathered. Hierarchical ordered probit model was used to estimate the severity-weighted prevalence of disability and then combined with the period life table to obtain the HALE. Factors associated with the severity-adjusted prevalence of the disabled were analyzed under the generalized additive models (GAM). Results The main influencing factors of HALE would include age (t=40.351, P<0.001), sex (t=9.689, P<0.001), levels of education (t=5.021, P<0.001), exercise (t=5.487, P<0.001) and alcohol intake (t=-2.380, P=0.017) etc. The influence of per capita monthly income (χ2=3.949, P=0.044) showed as non-linear. Conclusions Levels of income would directly influence the severity-weighted prevalence of the disability, which also affecting the HALE. Programs on improving healthy life style and health care in women should be promoted.
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