Epidemiology. 2018 Mar;29(2):199-206. doi: 10.1097/EDE.0000000000000774.
The Moving To Opportunity (MTO) experiment manipulated neighborhood context by randomly assigning housing vouchers to volunteers living in public housing to use to move to lower poverty neighborhoods in five US cities. This random assignment overcomes confounding limitations that challenge other neighborhood studies. However, differences in MTO's effects across the five cities have been largely ignored. Such differences could be due to population composition (e.g., differences in the racial/ethnic distribution) or to context (e.g., differences in the economy).
Using a nonparametric omnibus test and a multiply robust, semiparametric estimator for transportability, we assessed the extent to which differences in individual-level compositional characteristics that may act as effect modifiers can account for differences in MTO's effects across sites. We examined MTO's effects on marijuana use, behavioral problems, major depressive disorder, and generalized anxiety disorder among black and Latino adolescent males, where housing voucher receipt was harmful for health in some sites but beneficial in others.
Comparing point estimates, differences in composition partially explained site differences in MTO effects on marijuana use and behavioral problems but did not explain site differences for major depressive disorder or generalized anxiety disorder.
Our findings provide quantitative, rigorous evidence for the importance of context or unmeasured individual-level compositional variables in modifying MTO's effects.
“迁居机会”(MTO)实验通过随机将住房券分配给居住在公共住房中的志愿者,以将其搬到美国五个城市中贫困程度较低的社区,从而改变了社区环境。这种随机分配克服了其他社区研究面临的混杂限制。然而,MTO 在五个城市的效果差异在很大程度上被忽视了。这种差异可能是由于人口构成(例如,种族/族裔分布的差异)或环境(例如,经济差异)造成的。
我们使用非参数综合检验和一种用于可转移性的多重稳健半参数估计器,评估了可能作为效应修饰剂的个体水平组成特征差异在多大程度上可以解释 MTO 效应在不同地点的差异。我们研究了 MTO 对黑人及拉丁裔青少年男性中大麻使用、行为问题、重度抑郁症和广泛性焦虑症的影响,在某些地点,住房券的获得对健康有害,但在其他地点则有益。
通过比较点估计值,组成部分的差异部分解释了 MTO 对大麻使用和行为问题的效果在不同地点的差异,但没有解释 MTO 对重度抑郁症或广泛性焦虑症的效果在不同地点的差异。
我们的研究结果为环境或未测量的个体水平组成变量在改变 MTO 效果方面的重要性提供了定量、严格的证据。