{"title":"Health Predictors of Neighborhood Selection: A Prospective Cohort Study of Residential Mobility in Ontario, Canada.","authors":"Emmalin Buajitti, Laura C Rosella","doi":"10.1097/EDE.0000000000001862","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Health selection into neighborhoods describes unhealthy people moving disproportionately to lower-income neighborhoods, producing observable socioeconomic gradients sometimes falsely attributed to neighborhood effects on health. We investigated residential mobility outcomes and their relationship to baseline health using population-level data linkages in Ontario, Canada.</p><p><strong>Methods: </strong>We included Canadian Community Health Survey respondents ages 25 to 64 between 2005 and 2014 (n = 93,235). We assessed baseline health using self-reported health and multimorbidity. We captured moves using health administrative data and the Canadian census. We fit multinomial logistic regression models with a six-category residential mobility outcome: (1) nonmovers from low-income neighborhoods; (2) nonmovers from high-income neighborhoods; (3) movers from low-income to low-income; (4) movers from low-income to high-income; (5) movers from high-income to low-income; and (6) movers from high-income to high-income. We adjusted models for the Canadian Community Health Survey cycle, age, sex, household income, immigrant status, and residential instability.</p><p><strong>Results: </strong>Compared with those with very good or excellent health, respondents reporting fair or poor health at baseline had higher odds of moving from low- to low-income neighborhoods (Adjusted odds ratios [aOR] = 1.73; 95% confidence interval [CI] = 1.46, 2.05), moving from high- to low-income (aOR = 1.64; 95% CI = 1.35, 1.98), moving from low- to high-income (aOR = 1.26; 95% CI = 1.04, 1.54), and not moving within low-income (aOR = 1.36; 1.23, 1.51) relative to not moving within high-income. Results were consistent for objective health measures, comparing respondents with at least four chronic conditions to those with one or none.</p><p><strong>Conclusions: </strong>In a large, population-based study, both subjective and objective measures of health had a strong relationship with residential mobility outcomes.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":" ","pages":"440-449"},"PeriodicalIF":4.4000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12118616/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/EDE.0000000000001862","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/4 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Health selection into neighborhoods describes unhealthy people moving disproportionately to lower-income neighborhoods, producing observable socioeconomic gradients sometimes falsely attributed to neighborhood effects on health. We investigated residential mobility outcomes and their relationship to baseline health using population-level data linkages in Ontario, Canada.
Methods: We included Canadian Community Health Survey respondents ages 25 to 64 between 2005 and 2014 (n = 93,235). We assessed baseline health using self-reported health and multimorbidity. We captured moves using health administrative data and the Canadian census. We fit multinomial logistic regression models with a six-category residential mobility outcome: (1) nonmovers from low-income neighborhoods; (2) nonmovers from high-income neighborhoods; (3) movers from low-income to low-income; (4) movers from low-income to high-income; (5) movers from high-income to low-income; and (6) movers from high-income to high-income. We adjusted models for the Canadian Community Health Survey cycle, age, sex, household income, immigrant status, and residential instability.
Results: Compared with those with very good or excellent health, respondents reporting fair or poor health at baseline had higher odds of moving from low- to low-income neighborhoods (Adjusted odds ratios [aOR] = 1.73; 95% confidence interval [CI] = 1.46, 2.05), moving from high- to low-income (aOR = 1.64; 95% CI = 1.35, 1.98), moving from low- to high-income (aOR = 1.26; 95% CI = 1.04, 1.54), and not moving within low-income (aOR = 1.36; 1.23, 1.51) relative to not moving within high-income. Results were consistent for objective health measures, comparing respondents with at least four chronic conditions to those with one or none.
Conclusions: In a large, population-based study, both subjective and objective measures of health had a strong relationship with residential mobility outcomes.
期刊介绍:
Epidemiology publishes original research from all fields of epidemiology. The journal also welcomes review articles and meta-analyses, novel hypotheses, descriptions and applications of new methods, and discussions of research theory or public health policy. We give special consideration to papers from developing countries.