Literature DB >> 10671018

Does housing tenure predict health in the UK because it exposes people to different levels of housing related hazards in the home or its surroundings?

A Ellaway1, S Macintyre.   

Abstract

In the UK housing tenure (whether the dwelling is owner occupied or rented) has consistently been found to be associated with longevity and with a number of measures of health. It has been argued that it is a good measure of material circumstances, and it is often incorporated into area based measures of social or material deprivation. However there is little published research on whether housing tenure predicts mortality and morbidity simply because it is an indicator of material well being, or whether, in addition, different categories of housing tenure expose people to different levels of health hazards in the dwelling itself or in the immediate environment. In this paper we examine, using data on adults aged 40 and 60 from socially contrasting neighbourhoods in Glasgow, Scotland, whether housing tenure is associated with housing stressors (e.g. overcrowding, dampness, hazards, difficulty with heating the home) and with assessment of the local environment (e.g. amenities, problems, crime, neighbourliness, area reputation and satisfaction), and whether this might help to explain tenure differences in long-standing illness, limiting long-standing illness, anxiety and depression. Controlling for income, age and sex, housing stressors independently predicted limiting long-standing illness; assessment of the area and housing type independently contributed to anxiety; and housing stressors, housing type and assessment of the area independently contributed to depression. This suggests that housing tenure may expose people to different levels of health hazards, and has implications for urban housing policies.

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Year:  1998        PMID: 10671018     DOI: 10.1016/s1353-8292(98)00006-9

Source DB:  PubMed          Journal:  Health Place        ISSN: 1353-8292            Impact factor:   4.078


  40 in total

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Authors:  S A Reijneveld; R A Verheij; D H de Bakker
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3.  Racial residential segregation: a fundamental cause of racial disparities in health.

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4.  Joint effects of social class and community occupational structure on coronary mortality among black men and white men, upstate New York, 1988-92.

Authors:  D L Armstrong; D Strogatz; E Barnett; R Wang
Journal:  J Epidemiol Community Health       Date:  2003-05       Impact factor: 3.710

5.  Neighbourhood socioeconomic context and self reported health and smoking: a secondary analysis of data on seven cities.

Authors:  S A Reijneveld
Journal:  J Epidemiol Community Health       Date:  2002-12       Impact factor: 3.710

Review 6.  Measuring contextual characteristics for community health.

Authors:  Marianne M Hillemeier; John Lynch; Sam Harper; Michele Casper
Journal:  Health Serv Res       Date:  2003-12       Impact factor: 3.402

7.  Housing standards: a glossary of housing and health.

Authors:  P Howden-Chapman
Journal:  J Epidemiol Community Health       Date:  2004-03       Impact factor: 3.710

8.  Dampness and mold in the home and depression: an examination of mold-related illness and perceived control of one's home as possible depression pathways.

Authors:  Edmond D Shenassa; Constantine Daskalakis; Allison Liebhaber; Matthias Braubach; MaryJean Brown
Journal:  Am J Public Health       Date:  2007-08-29       Impact factor: 9.308

9.  Depressive symptoms in mothers of pre-school children--effects of deprivation, social support, stress and neighbourhood social capital.

Authors:  Caroline Mulvaney; Denise Kendrick
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2005-03       Impact factor: 4.328

10.  Residential area deprivation predicts smoking habit independently of individual educational level and occupational social class. A cross sectional study in the Norfolk cohort of the European Investigation into Cancer (EPIC-Norfolk).

Authors:  S Shohaimi; R Luben; N Wareham; N Day; S Bingham; A Welch; S Oakes; K-T Khaw
Journal:  J Epidemiol Community Health       Date:  2003-04       Impact factor: 3.710

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