ArticleBMJ open2013
Socioeconomic characteristics of residential areas and risk of death: is variation in spatial units for analysis a source of heterogeneity in observed associations?
Article in BMJ open, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Contexts of sedentary time and physical activity among ageing workers and recent retirees: cross-sectional GPS and accelerometer study.BMJ open · 2021Trial
- Fertility resilience varies by socioeconomic status and sex: Historical trends in childlessness across 150 years.iScience · 2024Article
- COVID-19 Vaccine Rollouts and the Reproduction of Urban Spatial Inequality: Disparities Within Large US Cities in March and April 2021 by Racial/Ethnic and Socioeconomic Composition.Journal of urban health : bulletin of the New York Academy of Medicine · 2022Article
- Machine learning predictive modelling for identification of predictors of acute respiratory infection and diarrhoea in Uganda's rural and urban settings.PLOS global public health · 2022Article
- Modifications to residential neighbourhood characteristics and risk of 79 common health conditions: a prospective cohort study.The Lancet. Public health · 2021Article
- Article
- Assessing the potential utility of commercial 'big data' for health research: Enhancing small-area deprivation measures with Experian™ Mosaic groups.Health & place · 2019Article
- Trends in socioeconomic inequalities in mortality in small areas of 33 Spanish cities.BMC public health · 2016Article
- Socioeconomic Position and Premature Mortality in the AusDiab Cohort of Australian Adults.American journal of public health · 2016Article
- The influence of neighborhood socioeconomic status and race on survival from ovarian cancer: a population-based analysis of Cook County, Illinois.Annals of epidemiology · 2015Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
objectivesEvidence on the association between the adverse socioeconomic characteristics of residential area and mortality is mixed. We examined whether the choice of spatial unit is critical in detecting this association.
designRegister-linkage study.
settingData were from the Finnish Public Sector study's register cohort.
participantsThe place of residence of 146 600 cohort participants was linked to map grids and administrative areas, and they were followed up for mortality from 2000 to 2011. Residential area socioeconomic deprivation and household crowding were aggregated into five alternative areas based on map grids (250×250 m, 1×1 km and 10×10 km squares), and administrative borders (zip-code area and town). PRIMARY AND SECONDARY OUTCOME MEASURES: All-cause mortality.
resultsFor the 250×250 m area, mortality risk increased with increasing socioeconomic deprivation (HR for top vs bottom quintile 1.36, 95% CI 1.21 to 1.52). This association was either weaker or missing when broader spatial units were used. For household crowding, excess mortality was observed across all spatial units, the HRs ranging from 1.14 (95% CI 1.03 to 1.25) for zip code, and 1.21 (95% CI 1.11 to 1.31) for 250×250 m areas to 1.28 (95% CI 1.10 to 1.50) for 10×10 km areas.
conclusionsVariation in spatial units for analysis is a source of heterogeneity in observed associations between residential area characteristics and risk of death.
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