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Longitudinal impacts of two causal drivers of alcohol demand on outlet concentrations within community settings: Population size and income effects

机译:两个因果驾驶员在社区环境中对出口浓度的两种因果驾驶员的纵向影响:人口规模和收入影响

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摘要

We analyzed counts of licensed bars, restaurants and off-premise alcohol outlets within 53 California cities from 2000–2013. Poisson models were used to assess overall space-time associations between outlet numbers and population size and median household income in local and spatially adjacent block groups. We then separated covariate effects into distinct spatial and temporal components (“decomposed” models). Overall models showed that densities of all outlet types were generally greatest within block groups that had lower income, were adjacent to block groups with lower income, had greater populations, and were adjacent to block groups that had greater populations. Decomposed models demonstrate that over time greater income was associated with increased counts of bars, and greater population was associated with greater numbers of restaurants and off-premise outlets. Acknowledging the many negative consequences for populations living in areas of high outlet density, these effects are a predictable and powerful social determinant of health.
机译:从2000 - 2013年,我们分析了53个加利福尼亚州城市的许可酒吧,餐馆和非处方药店的数量。泊松模型用于评估当地和空间相邻块组的出口数和人口大小和中位家庭收入之间的整体时空关联。然后,我们将协变量分开成明显的空间和时间成分(“分解”模型)。总体模型表明,在具有较低收入的嵌段组内,所有出口类型的密度通常最大,邻近收入较低的嵌段组,具有更大的群体,并且与具有更大种群的块组相邻。分解模型表明,随着时间的推移更大的收入与增加的酒吧数量有关,更大的人口与更多的餐馆和外部售票有关。承认生活在高出口密度范围内的人口的许多负面后果,这些效果是一种可预测和强大的健康的社会决定因素。

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