Living in Historically Redlined Neighborhoods and Biological Aging among Older Adults

Calley E Fisk, Katrina M Walsemann, Chelsey Jones, Eileen Crimmins, Jennifer A Ailshire
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Abstract

Living in historically redlined neighborhoods has deleterious effects on aging-related health outcomes, yet little is known about how historical redlining affects the physiological aging process and the role of current neighborhood socioeconomic status (SES) on this relationship. This study determined if living in historically redlined neighborhoods was associated with biological age and if this association was mediated by neighborhood-level socioeconomic status. We linked the Health and Retirement Study 2016 Venous Blood Study (HRS-VBS) to redlining scores from the Historic Redlining Indicator data and census tract level data from the 2014-2018 American Community Survey 5-year estimates (N = 6,466 respondents). Multivariable linear regression models were used to assess differences in biological age among older residents of historically redlined neighborhoods graded “Best/Desirable”, “Declining”, and “Hazardous”. Mediation analyses using the khb method were used to assess whether measures of neighborhood affluence and disadvantage explained differences in biological age by historical redlining grade. Older residents of “Declining” or “Hazardous” neighborhoods were about 2.5 and 1.7 years older biologically than residents of “Best/Desirable” neighborhoods. Neighborhood SES mediated this relationship, with affluence explaining approximately 20% and disadvantage explaining about 8% (“Declining”) and 25% (“Hazardous”) of the association between historical redlining and biological age. Our study highlights the importance of evaluating measures of physiological functioning and current neighborhood conditions to clarify existing health disparities among residents of historically redlined neighborhoods.
生活在历史上的红线社区和老年人的生物老化
生活在历史上的红线社区对衰老相关的健康结果有有害影响,但关于历史上的红线如何影响生理衰老过程以及当前社区社会经济地位(SES)在这一关系中的作用,我们知之甚少。这项研究确定了居住在历史上被划定为红线的社区是否与生物年龄有关,以及这种联系是否受到社区社会经济地位的影响。我们将2016年健康与退休研究静脉血研究(HRS-VBS)与历史红线指标数据的红线评分和2014-2018年美国社区调查5年估计的人口普查区水平数据(N = 6,466名受访者)联系起来。使用多变量线性回归模型评估历史上被划分为“最佳/理想”、“下降”和“危险”的红色社区的老年居民的生物年龄差异。使用khb方法进行中介分析,以评估社区富裕和贫困的测量是否解释了历史红线等级的生物年龄差异。“衰退”或“危险”社区的老年居民比“最佳/理想”社区的居民在生物学上大约老2.5岁和1.7岁。社区SES介导了这一关系,富裕解释了历史红线与生物年龄之间关系的约20%,贫困解释了约8%(“下降”)和25%(“危险”)。我们的研究强调了评估生理功能和当前社区条件的重要性,以澄清历史上红线社区居民之间存在的健康差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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