杨雅平,刘庆敏,任艳军,李莉,宋凯,吕筠,曹卫华.健康情景问卷方法在自报健康水平校正中的应用[J].中华流行病学杂志,2011,32(3):306-310 |
健康情景问卷方法在自报健康水平校正中的应用 |
Application of health vignettes in correcting self-reported health condition |
收稿日期:2010-10-15 出版日期:2014-09-11 |
DOI: |
中文关键词: 情景问卷 自报健康 HOPIT模型 |
英文关键词: ealth vignettes Self-reported health Hierarchical ordered probit model |
基金项目:浙江省医药卫生科学研究基金计划(A类2007A168) |
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中文摘要: |
介绍健康情景问卷方法在自报健康中的应用.以杭州市健康调查为例,首先利用健康情景问题确定被调查者的健康评判标准,发现性别、年龄、文化程度和收入水平等因素对自报健康资料的切点均有不同程度的影响(即切点位移);通过HOPIT模型的统计调整和计算,使每个被调查者的自报健康结果基于相同的标准,从而实现不同人群自报健康的校正,使结果适于比较.结果 发现杭州市居民女性的健康水平低于男性,收入水平越高的人群,健康水平越高.因此在健康调查中有必要利用健康情景技术. |
英文摘要: |
To introduce the application of vignettes in the survey on health condition,we took the Hangzhou health survey as an example. We tried to find the respondents' health judgment standard by using vignettes first and discovered the population' s demographic characteristics as sex,age, years of schooling and income etc. could influence the self-reported health condition on the response category cut-points. Then the cut-points were corrected through hierarchical ordered probit model in order to reflect the respondents' self-reported health condition based on the same standard,making the result suitable for comparison. Data from our research discovered that the level of health condition of females was lower than that of males among the residents living in Hangzhou and the higher income they received, the better health condition they had. Thus, the health vignettes seemed very essential in the survey on health condition. |
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