Measuring socioeconomic status in multicountry studies: results from the eight-country MAL-ED study.
Measuring socioeconomic status in multicountry studies: results from the eight-country MAL-ED study.
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衡量多国研究中的社会经济状况：八个国家的Mal-Ed研究的结果。
DOI：
10.1186/1478-7954-12-8
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发表时间：
2014-03-21
影响因子：
3.3
通讯作者：
MAL-ED Network Investigators
中科院分区：
文献类型：
--
作者：
Psaki SR;Seidman JC;Miller M;Gottlieb M;Bhutta ZA;Ahmed T;Ahmed AS;Bessong P;John SM;Kang G;Kosek M;Lima A;Shrestha P;Svensen E;Checkley W;MAL-ED Network Investigators
在流行病学研究中，没有标准化方法来比较多个地点的社会经济状况(SES)。当需要进行跨国比较时，这一点尤其成问题。我们试图开发一种简单的SES衡量标准，能够在不同的、资源有限的环境中表现良好。一项横断面研究对800名年龄在24至60个月之间的儿童进行，涉及8个资源有限的环境。家长们被要求回答家庭SES调查问卷，并测量了每个孩子的身高。统计分析分两个阶段进行。首先，确定了选择和加权家庭资产作为财富代理的最佳方法。我们比较了四种衡量财富的方法：母亲教育、主成分分析、多维贫困指数和一种基于随机森林的新的变量选择方法。其次，将所选择的财富指标与其他相关变量相结合，形成更完整的家庭SES衡量标准。我们使用儿童年龄身高Z分数(HAZ)作为感兴趣的结果。研究儿童的平均年龄为41个月，其中52%是男孩，42%发育迟缓。使用交叉验证，我们发现随机森林在选择资产作为家庭财富衡量标准时产生的预测误差最低。最终的SES指数包括获得改善的水和卫生设施、八项选定的资产、产妇教育和家庭收入(WAMI指数)。WAMI指数差25%与HAZ差值0.38标准差呈正相关(95%可信区间0.22~0.55)。统计学习方法，如随机森林，在制定SES分数时提供了主成分分析的替代方法。这项多国研究的结果证明了简化的SES指数的有效性。通过进一步的验证，这一简化的指数可能会为跨资源有限设置的SES调整提供一种标准方法。
There is no standardized approach to comparing socioeconomic status (SES) across multiple sites in epidemiological studies. This is particularly problematic when cross-country comparisons are of interest. We sought to develop a simple measure of SES that would perform well across diverse, resource-limited settings. A cross-sectional study was conducted with 800 children aged 24 to 60 months across eight resource-limited settings. Parents were asked to respond to a household SES questionnaire, and the height of each child was measured. A statistical analysis was done in two phases. First, the best approach for selecting and weighting household assets as a proxy for wealth was identified. We compared four approaches to measuring wealth: maternal education, principal components analysis, Multidimensional Poverty Index, and a novel variable selection approach based on the use of random forests. Second, the selected wealth measure was combined with other relevant variables to form a more complete measure of household SES. We used child height-for-age Z-score (HAZ) as the outcome of interest. Mean age of study children was 41 months, 52% were boys, and 42% were stunted. Using cross-validation, we found that random forests yielded the lowest prediction error when selecting assets as a measure of household wealth. The final SES index included access to improved water and sanitation, eight selected assets, maternal education, and household income (the WAMI index). A 25% difference in the WAMI index was positively associated with a difference of 0.38 standard deviations in HAZ (95% CI 0.22 to 0.55). Statistical learning methods such as random forests provide an alternative to principal components analysis in the development of SES scores. Results from this multicountry study demonstrate the validity of a simplified SES index. With further validation, this simplified index may provide a standard approach for SES adjustment across resource-limited settings.
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影响因子：
168.9
作者：
Black, Robert E.;Victora, Cesar G.;Uauy, Ricardo
通讯作者：
Uauy, Ricardo
影响因子：
3.5
作者：
Desai, S;Alva, S
通讯作者：
Alva, S
影响因子：
3.2
作者：
Pitchforth, Emma;van Teijlingen, Edwin;Fitzmaurice, Ann
通讯作者：
Fitzmaurice, Ann
影响因子：
4.9
作者：
Monteiro, C;Conde, WL;Popkin, BM
通讯作者：
Popkin, BM
影响因子：
16.4
作者：
ADLER, NE;BOYCE, T;SYME, SL
通讯作者：
SYME, SL