A two-county comparison of the HOUSES index on predicting self-rated health.
A two-county comparison of the HOUSES index on predicting self-rated health.
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在预测自我评价健康方面的房屋指数的两县比较。
DOI：
10.1136/jech.2008.084723
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发表时间：
2011-03
影响因子：
6.3
通讯作者：
Juhn YJ
中科院分区：
文献类型：
--
作者：
Butterfield MC;Williams AR;Beebe T;Finnie D;Liu H;Liesinger J;Sloan J;Wheeler PH;Yawn B;Juhn YJ
死亡率、大多数疾病的发病率和不良健康行为的流行率与社会阶层呈反比。社会经济地位（SES）存在许多代理;然而，每一个都与健康结果有不同的关系，可能遵循不同的病因学途径。此外，收集有关SES的数据可能相当困难。在两个中西部地区，明尼苏达州奥姆斯特德县和密苏里州杰克逊县，对SES的五种测量方法进行了比较，包括一种新的测量方法，HOUSES指数，用于预测自测健康（SRH）。采用概率抽样设计，横断面电话调查管理的随机抽样的家庭。调查问卷收集了各种社会人口和个人健康信息。因变量SRH被分为极好/非常好/良好与一般/差健康。住房指数的信息是通过公共财产记录收集的，并通过电话调查表得到证实。参与者是居住在奥姆斯特德县（n=746）和杰克逊县（n=704）的1-17岁儿童的父母/监护人。HOUSES指数与杰克逊县成年人的不良SRH相关。所有五个SES指标都是该组的重要预测因素。复合SES指数与奥姆斯特德县成年人的SRH显着相关。住房指数为衡量社会经济地位和预测健康结果做出了独特的贡献。它的实用性是由特定的社会背景，它应该与其他社会经济地位指数配合使用。
Mortality, incidence of most diseases, and prevalence of adverse health behaviours follow an inverse gradient with social class. Many proxies for socioeconomic status (SES) exist; however, each bears a different relation to health outcomes, probably following a different aetiological pathway. Additionally, data on SES can be quite difficult to gather. Five measures of SES were compared, including a novel measure, the HOUSES index, in the prediction of self-rated health (SRH) in two Midwestern settings, Olmsted County, Minnesota, and Jackson County, Missouri. Using a probability sampling design, a cross-sectional telephone survey was administered to a randomised sample of households. The questionnaire collected a variety of sociodemographic and personal health information. The dependent variable, SRH, was dichotomised into excellent/very good/good versus fair/ poor health. Information for the HOUSES index was collected through public property records and corroborated through the telephone questionnaire. Participants were parents/guardians of children aged 1–17 residing in Olmsted County (n=746) and Jackson County (n=704). The HOUSES index was associated with adverse SRH in Jackson County adults. All five SES measures were significant predictors in this group. Composite SES indices showed significant associations with SRH in Olmsted County adults. The HOUSES index makes a unique contribution to the measurement of SES and prediction of health outcomes. Its utility is qualified by specific social contexts, and it should be used in concert with other SES indices.
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影响因子：
5.4
作者：
Dunn, JR;Hayes, MV
通讯作者：
Hayes, MV
影响因子：
5.4
作者：
ABRAMSON, JH;GOFIN, R;GOFIN, J
通讯作者：
GOFIN, J
影响因子：
5
作者：
IDLER, EL;KASL, SV;LEMKE, JH
通讯作者：
LEMKE, JH
影响因子：
6.3
作者：
Macintyre, S;Hiscock, R;Ellaway, A
通讯作者：
Ellaway, A
影响因子：
12.7
作者：
Laaksonen, M;Rahkonen, O;Lahelma, E
通讯作者：
Lahelma, E