Literature DB >> 33622938

Associations between indoor temperature, self-rated health and socioeconomic position in a cross-sectional study of adults in England.

Joanna Sutton-Klein1, Alison Moody1, Ian Hamilton2, Jennifer S Mindell1.   

Abstract

OBJECTIVE: Excess winter deaths are a major public health concern in England and Wales, with an average of 20 000 deaths per year since 2010. Feeling cold at home during winter is associated with reporting poor general health; cold and damp homes have greater prevalence in lower socioeconomic groups. Overheating in the summer also has adverse health consequences. This study evaluates the association between indoor temperature and general health and the extent to which this is affected by socioeconomic and household factors.
DESIGN: Cross-sectional study.
SETTING: England. PARTICIPANTS: Secondary data of 74 736 individuals living in England that took part in the Health Survey for England (HSE) between 2003 and 2014. The HSE is an annual household survey which uses multilevel stratification to select a new, nationally representative sample each year. The study sample comprised adults who had a nurse visit; the analytical sample was adults who had observations for indoor temperature and self-rated health.
RESULTS: Using both logistic and linear regression models to examine indoor temperature and health status, adjusting for socioeconomic and housing factors, the study found an association between poor health and higher indoor temperatures. Each one degree increase in indoor temperature was associated with a 1.4% (95% CI 0.5% to 2.3%) increase in the odds of poor health. After adjusting for income, education, employment type, household size and home ownership, the OR of poor health for each degree temperature rise increased by 19%, to a 1.7% (95% CI 0.7% to 2.6%) increase in odds of poor health with each degree temperature rise.
CONCLUSION: People with worse self-reported health had higher indoor temperatures after adjusting for household factors. People with worse health may have chosen to maintain warmer environments or been advised to. However, other latent factors, such as housing type and energy performance could have an effect. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  epidemiology; public health; social medicine

Year:  2021        PMID: 33622938      PMCID: PMC7907859          DOI: 10.1136/bmjopen-2020-038500

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


  35 in total

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Authors:  J P Clinch; J D Healy
Journal:  J Epidemiol Community Health       Date:  2000-09       Impact factor: 3.710

2.  Excess winter mortality in Europe: a cross country analysis identifying key risk factors.

Authors:  J D Healy
Journal:  J Epidemiol Community Health       Date:  2003-10       Impact factor: 3.710

3.  Excess winter deaths in 30 European countries 1980-2013: a critical review of methods.

Authors:  Christine Liddell; Chris Morris; Harriet Thomson; Ciara Guiney
Journal:  J Public Health (Oxf)       Date:  2016-12-02       Impact factor: 2.341

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Journal:  Annu Rev Physiol       Date:  1968       Impact factor: 19.318

5.  Self-assessment of health status and mortality in middle-aged British men.

Authors:  G Wannamethee; A G Shaper
Journal:  Int J Epidemiol       Date:  1991-03       Impact factor: 7.196

6.  Cohort profile: the health survey for England.

Authors:  Jennifer Mindell; Jane P Biddulph; Vasant Hirani; Emanuel Stamatakis; Rachel Craig; Susan Nunn; Nicola Shelton
Journal:  Int J Epidemiol       Date:  2012-01-09       Impact factor: 7.196

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Authors:  A Analitis; K Katsouyanni; A Biggeri; M Baccini; B Forsberg; L Bisanti; U Kirchmayer; F Ballester; E Cadum; P G Goodman; A Hojs; J Sunyer; P Tiittanen; P Michelozzi
Journal:  Am J Epidemiol       Date:  2008-10-24       Impact factor: 4.897

8.  Perceived health and mortality: a nine-year follow-up of the human population laboratory cohort.

Authors:  G A Kaplan; T Camacho
Journal:  Am J Epidemiol       Date:  1983-03       Impact factor: 4.897

9.  Low indoor temperatures and morbidity in the elderly.

Authors:  K J Collins
Journal:  Age Ageing       Date:  1986-07       Impact factor: 10.668

10.  Relationship between Perceived Indoor Temperature and Self-Reported Risk for Frailty among Community-Dwelling Older People.

Authors:  Yukie Nakajima; Steven M Schmidt; Agneta Malmgren Fänge; Mari Ono; Toshiharu Ikaga
Journal:  Int J Environ Res Public Health       Date:  2019-02-20       Impact factor: 3.390

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