Xu Wei, Kamis Christina, Agnew Megan, Schultz Amy, Salas Sarah, Malecki Kristen, Engelman Michal
Division of Epidemiology and Social Sciences, Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI 53212, United States.
Department of Sociology, College of Liberal Arts and Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States.
Am J Epidemiol. 2025 Feb 5;194(2):480-489. doi: 10.1093/aje/kwae183.
Deleterious neighborhood conditions are associated with poor health, yet the health impact of cumulative lifetime exposure to neighborhood disadvantage is understudied. Using up to 5 decades of residential histories for 4177 adult participants in the Survey of the Health of Wisconsin (SHOW) and spatiotemporally linked neighborhood conditions, we developed 4 operational approaches to characterizing cumulative neighborhood (dis)advantage over the life course. We estimated their associations with self-reported general health and compared them with estimates using neighborhood (dis)advantage at the time of study enrollment. When cumulative exposures were assessed with the most granular temporal scale (approach 4), neighborhood transportation constraints (odds ratio [OR] = 1.21; 95% CI, 1.08-1.36), residential turnover (OR = 1.20; 95% CI, 1.07-1.34), education deficit (OR = 1.17; 95% CI, 1.04-1.32), racial segregation (OR = 1.20; 95% CI, 1.04-1.38), and median household income (OR = 0.85; 95% CI, 0.75-0.97) were significantly associated with risk of fair or poor health. For composite neighborhood disadvantage, cumulative exposures had a stronger association (OR = 1.05; 95% CI, 1.02-1.08) than the cross-sectional exposure (OR = 1.03; 95% CI, 1.01-1.06). Single-point-in-time neighborhood measures underestimate the relationship between neighborhood and health, underscoring the importance of a life-course approach to cumulative exposure measurement.
有害的邻里环境与健康状况不佳相关,但一生中累积暴露于邻里劣势对健康的影响尚未得到充分研究。利用威斯康星州健康调查(SHOW)中4177名成年参与者长达50年的居住史以及时空关联的邻里环境状况,我们开发了4种操作方法来描述一生中累积的邻里(不)优势。我们估计了它们与自我报告的总体健康状况的关联,并将其与研究入组时使用邻里(不)优势的估计值进行比较。当以最精细的时间尺度评估累积暴露时(方法4),邻里交通限制(优势比[OR]=1.21;95%置信区间,1.08-1.36)、住宅周转率(OR=1.20;95%置信区间,1.07-1.34)、教育赤字(OR=1.17;95%置信区间,1.04-1.32)、种族隔离(OR=1.20;95%置信区间,1.04-1.38)和家庭收入中位数(OR=0.85;95%置信区间,0.75-0.97)与健康状况一般或较差的风险显著相关。对于综合邻里劣势,累积暴露的关联(OR=1.05;95%置信区间,1.02-1.08)比横断面暴露(OR=1.03;95%置信区间,1.01-1.06)更强。单一时间点的邻里测量低估了邻里与健康之间的关系,凸显了采用生命历程方法进行累积暴露测量的重要性。