Literature DB >> 19604611

Housing wealth and mortality: A register linkage study of the Finnish population.

Mikko Laaksonen1, Lasse Tarkiainen, Pekka Martikainen.   

Abstract

In many countries home ownership is the main form of property and covers a major part of people's possessions. Since overall wealth is difficult to measure, many health studies have used home ownership as an indicator of wealth and material resources. However, most studies have measured housing wealth with a simple dichotomous measure of home ownership. We examined the associations between three different measures of housing wealth and overall mortality, separating subsidized renters and private renters, and using floor area and the number of rooms as measures of dwelling size. We further examined whether other socioeconomic factors, level of urbanisation of the region of residence, and household composition account for the found associations. Finns aged 35-79 years at the end of 1999 were followed up until the end of 2004. Data were drawn from various registers combined by Statistics Finland and linked with death records. The age-adjusted hazard ratio for mortality among subsidized renters compared to owner-occupiers was 2.26 in men and 1.87 in women. However, also private renters had clearly higher mortality than owner-occupiers, with the excess mortality of 92% in men and 61% in women. Both measures of home size were also strongly associated with mortality, with the excess risk of 1.7-3.0 in the lowest home size quintile compared to the highest. Adjusting for socioeconomic factors and mutually for all housing wealth measures considerably attenuated the associations. Further adjustment for urbanisation had no effect whereas adjustment for household size, marital status and living arrangements attenuated the associations of the two home size measures and mortality. However, a clear association remained between all housing wealth measures and mortality after all adjustments. Housing wealth summarises one's material circumstances over a prolonged period of time. Measures of housing wealth may therefore provide useful social classifications for studies on poor health and mortality especially in older age groups where most deaths occur.

Entities:  

Mesh:

Year:  2009        PMID: 19604611     DOI: 10.1016/j.socscimed.2009.06.035

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  9 in total

1.  Symbolic capital, consumption, and health inequality.

Authors:  Elizabeth Sweet
Journal:  Am J Public Health       Date:  2010-12-16       Impact factor: 9.308

2.  Meta-analysis of marital dissolution and mortality: reevaluating the intersection of gender and age.

Authors:  Eran Shor; David J Roelfs; Paul Bugyi; Joseph E Schwartz
Journal:  Soc Sci Med       Date:  2012-04-05       Impact factor: 4.634

3.  Cumulative socioeconomic disadvantage and cardiovascular disease mortality in the Alameda County Study 1965 to 2000.

Authors:  Vicki Johnson-Lawrence; Sandro Galea; George Kaplan
Journal:  Ann Epidemiol       Date:  2014-11-22       Impact factor: 3.797

4.  Employment status and mortality in the context of high and low regional unemployment levels in Belgium (2001-2011): A test of the social norm hypothesis across educational levels.

Authors:  Deborah De Moortel; Paulien Hagedoorn; Christophe Vanroelen; Sylvie Gadeyne
Journal:  PLoS One       Date:  2018-02-08       Impact factor: 3.240

Review 5.  Gender-based inequalities in the effects of housing on health: A critical review.

Authors:  Constanza Vásquez-Vera; Ana Fernández; Carme Borrell
Journal:  SSM Popul Health       Date:  2022-03-11

6.  High life in the sky? Mortality by floor of residence in Switzerland.

Authors:  Radoslaw Panczak; Bruna Galobardes; Adrian Spoerri; Marcel Zwahlen; Matthias Egger
Journal:  Eur J Epidemiol       Date:  2013-05-10       Impact factor: 8.082

7.  Environmental barriers, person-environment fit and mortality among community-dwelling very old people.

Authors:  Merja Rantakokko; Timo Törmäkangas; Taina Rantanen; Maria Haak; Susanne Iwarsson
Journal:  BMC Public Health       Date:  2013-08-28       Impact factor: 3.295

8.  The geographic pattern of Belgian mortality: can socio-economic characteristics explain area differences?

Authors:  Wanda M J Van Hemelrijck; Didier Willaert; Sylvie Gadeyne
Journal:  Arch Public Health       Date:  2016-06-08

9.  Inequalities in all-cause and cause-specific mortality across the life course by wealth and income in Sweden: a register-based cohort study.

Authors:  S Vittal Katikireddi; Claire L Niedzwiedz; Ruth Dundas; Naoki Kondo; Alastair H Leyland; Mikael Rostila
Journal:  Int J Epidemiol       Date:  2020-06-01       Impact factor: 9.685

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.