Socioeconomic characteristics of residential areas and risk of death: is variation in spatial units for analysis a source of heterogeneity in observed associations?

被引:22
|
作者
Halonen, Jaana I. [1 ]
Vahtera, Jussi [1 ,2 ,3 ]
Oksanen, Tuula [1 ]
Pentti, Jaana [1 ]
Virtanen, Marianna [1 ]
Jokela, Markus [4 ]
Diez-Roux, Ana V. [5 ]
Kivimaeki, Mika [1 ,6 ]
机构
[1] Finnish Inst Occupat Hlth, Kuopio, Finland
[2] Univ Turku, Dept Publ Hlth, Turku, Finland
[3] Turku Univ Hosp, FIN-20520 Turku, Finland
[4] Univ Helsinki, Dept Psychol, Inst Behav Sci, SF-00100 Helsinki, Finland
[5] Univ Michigan, Sch Publ Hlth, Ctr Integrat Approaches Hlth Dispar, Ann Arbor, MI 48109 USA
[6] UCL, Dept Epidemiol & Publ Hlth, London, England
来源
BMJ OPEN | 2013年 / 3卷 / 04期
基金
芬兰科学院;
关键词
Social medicine; Epidemiology; Public health; Statistics & research methods; ALL-CAUSE MORTALITY; NEIGHBORHOOD CHARACTERISTICS; SOCIAL-ENVIRONMENT; HEALTH; DEPRIVATION; MULTILEVEL; POSITION; LEVEL; CHOICE; INEQUALITIES;
D O I
10.1136/bmjopen-2012-002474
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives Evidence 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. Design Register-linkage study. Setting Data were from the Finnish Public Sector study's register cohort. Participants The place of residence of 146600 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 (250x250m, 1x1km and 10x10km squares), and administrative borders (zip-code area and town). Primary and secondary outcome measures All-cause mortality. Results For the 250x250m 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 250x250m areas to 1.28 (95% CI 1.10 to 1.50) for 10x10km areas. Conclusions Variation 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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页数:9
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