3.8 Article

Combining self-reported and sensor data to explore the relationship between fuel poverty and health well-being in UK social housing

期刊

WELLBEING SPACE AND SOCIETY
卷 3, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.wss.2021.100070

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资金

  1. England European Regional Development Fund [05R16P00305, 05R18P02819]
  2. South West Academic Health Science Network
  3. Cornwall Council
  4. HM Government
  5. University of Exeter
  6. Coastline Housing
  7. Volunteer Cornwall

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This study uses structural equation modeling to analyze the effect of fuel poverty on the physical and mental health of social housing tenants in the southwest of the UK, finding a significant negative impact on mental health, and also identifying associations with other socio-economic and housing characteristics, with tenants with disabilities and chronic diseases being more vulnerable.
Linking novel real-time sensor data with comprehensive individual baseline survey data, this study estimates the effect of fuel poverty on the physical and mental health of social housing tenants in the southwest of the UK. Structural equation modeling is applied to show that fuel poverty has a significant negative effect on mental health. Other socio-economic characteristics (such as age, household size) and house characteristics (e.g., energy-efficient rating, house type) are associated with fuel poverty. Fuel poverty is also related to poorer mobility. Our results suggest that special attention should be paid to tenants with disabilities and chronic diseases since they are more vulnerable to fuel poverty and health issues.

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