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A measure for quantifying the impact of housing quality on respiratory health: a cross-sectional study

BACKGROUND: Damp and mould in homes have been established as risk factors for respiratory health. There is a need for a relatively straightforward assessment of the home that quantifies this risk. METHODS: Using data from 891 New Zealand houses, the utility of a Respiratory Hazard Index quantifying...

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Autores principales: Keall, Michael D, Crane, Julian, Baker, Michael G, Wickens, Kristin, Howden-Chapman, Philippa, Cunningham, Malcolm
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3410778/
https://www.ncbi.nlm.nih.gov/pubmed/22583775
http://dx.doi.org/10.1186/1476-069X-11-33
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author Keall, Michael D
Crane, Julian
Baker, Michael G
Wickens, Kristin
Howden-Chapman, Philippa
Cunningham, Malcolm
author_facet Keall, Michael D
Crane, Julian
Baker, Michael G
Wickens, Kristin
Howden-Chapman, Philippa
Cunningham, Malcolm
author_sort Keall, Michael D
collection PubMed
description BACKGROUND: Damp and mould in homes have been established as risk factors for respiratory health. There is a need for a relatively straightforward assessment of the home that quantifies this risk. METHODS: Using data from 891 New Zealand houses, the utility of a Respiratory Hazard Index quantifying key attributes related to damp and mould was tested by studying its associations with self-reported respiratory symptoms. RESULTS: A dose–response relationship was found whereby each unit increase in the Respiratory Hazard Index was associated with an 11% increase in the odds of at least one episode of wheezing/whistling in the chest over the last 12 months (relative odds of 1.11 with a 95% CI 1.04%–1.20%). An 11% increase in the odds of an asthma attack over the last 12 months was estimated (relative odds of 1.11 with a 95% CI 1.01%–1.22%). These estimates were adjusted for household crowding levels, age, sex and smoking status. There was suggestive evidence of more steeply increasing odds of respiratory symptoms with increasing levels of the Respiratory Hazard Index for children aged under 7. In the worst performing houses according to the Index, a 33% reduction in the number of people experiencing respiratory symptoms (relative risk 0.67 with 95% CI 0.53 to 0.85) could be expected if people were housed in the best performing houses. CONCLUSIONS: This study showed that increased evidence of housing conditions supporting dampness and mould was associated with increased odds of respiratory symptoms. A valid housing assessment tool can provide a rational basis for investment in improved housing quality to improve respiratory health.
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spelling pubmed-34107782012-08-03 A measure for quantifying the impact of housing quality on respiratory health: a cross-sectional study Keall, Michael D Crane, Julian Baker, Michael G Wickens, Kristin Howden-Chapman, Philippa Cunningham, Malcolm Environ Health Research BACKGROUND: Damp and mould in homes have been established as risk factors for respiratory health. There is a need for a relatively straightforward assessment of the home that quantifies this risk. METHODS: Using data from 891 New Zealand houses, the utility of a Respiratory Hazard Index quantifying key attributes related to damp and mould was tested by studying its associations with self-reported respiratory symptoms. RESULTS: A dose–response relationship was found whereby each unit increase in the Respiratory Hazard Index was associated with an 11% increase in the odds of at least one episode of wheezing/whistling in the chest over the last 12 months (relative odds of 1.11 with a 95% CI 1.04%–1.20%). An 11% increase in the odds of an asthma attack over the last 12 months was estimated (relative odds of 1.11 with a 95% CI 1.01%–1.22%). These estimates were adjusted for household crowding levels, age, sex and smoking status. There was suggestive evidence of more steeply increasing odds of respiratory symptoms with increasing levels of the Respiratory Hazard Index for children aged under 7. In the worst performing houses according to the Index, a 33% reduction in the number of people experiencing respiratory symptoms (relative risk 0.67 with 95% CI 0.53 to 0.85) could be expected if people were housed in the best performing houses. CONCLUSIONS: This study showed that increased evidence of housing conditions supporting dampness and mould was associated with increased odds of respiratory symptoms. A valid housing assessment tool can provide a rational basis for investment in improved housing quality to improve respiratory health. BioMed Central 2012-05-14 /pmc/articles/PMC3410778/ /pubmed/22583775 http://dx.doi.org/10.1186/1476-069X-11-33 Text en Copyright ©2012 Keall et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Keall, Michael D
Crane, Julian
Baker, Michael G
Wickens, Kristin
Howden-Chapman, Philippa
Cunningham, Malcolm
A measure for quantifying the impact of housing quality on respiratory health: a cross-sectional study
title A measure for quantifying the impact of housing quality on respiratory health: a cross-sectional study
title_full A measure for quantifying the impact of housing quality on respiratory health: a cross-sectional study
title_fullStr A measure for quantifying the impact of housing quality on respiratory health: a cross-sectional study
title_full_unstemmed A measure for quantifying the impact of housing quality on respiratory health: a cross-sectional study
title_short A measure for quantifying the impact of housing quality on respiratory health: a cross-sectional study
title_sort measure for quantifying the impact of housing quality on respiratory health: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3410778/
https://www.ncbi.nlm.nih.gov/pubmed/22583775
http://dx.doi.org/10.1186/1476-069X-11-33
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