The dynamics of income and neighborhood context for population health: Do long-term measures of socioeconomic status explain more of the black/white health disparity than single-point-in-time measures?

The dynamics of income and neighborhood context for population health: Do long-term measures of socioeconomic status explain more of the black/white health disparity than single-point-in-time measures?
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DOI:
10.1016/j.socscimed.2009.01.028
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发表时间:
2009-04-01
影响因子:
5.4
通讯作者:
Do, D. Phuong
Do, D. Phuong
中科院分区:
医学2区
文献类型:
--
作者:
Do, D. Phuong

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社会经济地位虽然是健康的有力预测指标,但通常无法完全解释美国黑人和白人之间的健康差距。然而,在个人和社区层面上,社会经济地位往往被视为一个静态因素,只有一个时间点的衡量。这些横断面衡量方法未能考虑到在给定时间点可能具有相似特征的群体内可能存在的不同历史。因此,忽视社会经济地位的动态性质可能会导致其在解释健康和种族健康差异方面的重要性被低估。在本研究中,我使用国家纵向数据来调查社区贫困与受访者健康之间的关系,重点是时间维度的增加是否揭示了社区贫困与健康之间的更强关系,以及对黑人和白人之间的健康差距的更大解释能力。结果表明,长期邻里测量是健康结果的更强预测因子,并且比单点测量更能解释黑人/白人健康差距的程度。爱思唯尔有限公司出版。
Socioeconomic status, though a robust and strong predictor of health, has generally been unable to fully explain the health gap between blacks and whites in the United States. However, at both the individual and neighborhood levels, socioeconomic status is often treated as a static factor with only single-point-in-time measurements. These cross-sectional measures fail to account for possible heterogeneous histories within groups who may share similar characteristics at a given point in time. As such, ignoring the dynamic nature of socioeconomic status may lead to the underestimation of its importance in explaining health and racial health disparities.In this study, I use national longitudinal data to investigate the relationship between neighborhood poverty and respondent-rated health, focusing on whether the addition of a temporal dimension reveals a stronger relationship between neighborhood poverty and health, and a greater explanatory power for the health gap between blacks and whites. Results indicate that long-term neighborhood measures are stronger predictors of health outcomes and explain a greater amount of the black/white health gap than single-point measures. Published by Elsevier Ltd.