Damp housing conditions as a determinant of psychological distress: a longitudinal analysis of the British Household Panel Survey

Limited evidence exists regarding whether damp housing contributes to psychological distress. This study aimed to quantify the relationship between damp housing exposure and psychological distress. Data from the British Household Panel Survey (1996-2008) were used to assess the effect of damp housing on psychological distress in British households (n = 9,189 at baseline). Indoor dampness exposure was measured using multiple indicators (condensation, leaky roof, rot, and damp walls/floors) and a measure of severity that quantified the number of exposures. Psychological distress was measured using a binary variable derived from the General Health Questionnaire. Multivariate fixed effects logistic regression models analysed the hypothesised associations. Exposure to damp housing was associated with increased odds of psychological distress (OR = 1.09, 95% CI: 1.05, 1.14, P<0.01). Condensation was the strongest predictor (OR = 1.09, 95% CI: 1.03, 1.13, P<0.01). With each additional dampness indicator, odds of psychological distress increased by 4% (OR = 1.04, 95% CI: 1.02, 1.07, P<0.01). Among combinations of dampness indicators, the strongest association was for condensation and rot in windows/floors (OR = 1.25, 95% CI: 1.11, 1.40, P<0.01). These findings suggest damp housing exposure may increase the risk of psychological distress. Further research should investigate underlying mechanisms.

Authors

Institutions

Publication Details

Journal
American Journal of Epidemiology
Published
2025-11-20
DOI
https://doi.org/10.1093/aje/kwaf263
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Damp housing conditions as a determinant of psychological distress: a longitudinal analysis of the British Household Panel Survey

Rebecca Bentley, Ang Li, Erika Martino, Maria Rosa Gatto
American Journal of Epidemiology
Urban Green Space and Health
article

Damp housing conditions as a determinant of psychological distress: a longitudinal analysis of the British Household Panel Survey

Rebecca Bentley, Ang Li, Erika Martino, Maria Rosa Gatto
article en

Abstract

Limited evidence exists regarding whether damp housing contributes to psychological distress. This study aimed to quantify the relationship between damp housing exposure and psychological distress. Data from the British Household Panel Survey (1996-2008) were used to assess the effect of damp housing on psychological distress in British households (n = 9,189 at baseline). Indoor dampness exposure was measured using multiple indicators (condensation, leaky roof, rot, and damp walls/floors) and a measure of severity that quantified the number of exposures. Psychological distress was measured using a binary variable derived from the General Health Questionnaire. Multivariate fixed effects logistic regression models analysed the hypothesised associations. Exposure to damp housing was associated with increased odds of psychological distress (OR = 1.09, 95% CI: 1.05, 1.14, P<0.01). Condensation was the strongest predictor (OR = 1.09, 95% CI: 1.03, 1.13, P<0.01). With each additional dampness indicator, odds of psychological distress increased by 4% (OR = 1.04, 95% CI: 1.02, 1.07, P<0.01). Among combinations of dampness indicators, the strongest association was for condensation and rot in windows/floors (OR = 1.25, 95% CI: 1.11, 1.40, P<0.01). These findings suggest damp housing exposure may increase the risk of psychological distress. Further research should investigate underlying mechanisms.

American Journal of Epidemiology
The Centre for Health (New Zealand) (NZ), Centre for Global Health Research (CA), Melbourne Health (AU)
Understanding Society, Australian Government
Openalex Percentile: Top 55%
Urban Green Space and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.