TY - JOUR
T1 - Changes in life expectancy and house prices in London from 2002 to 2019
T2 - hyper-resolution spatiotemporal analysis of death registration and real estate data
AU - Bennett, James E.
AU - Rashid, Theo
AU - Zolfaghari, Alireza
AU - Doyle, Yvonne
AU - Suel, Esra
AU - Pearson-Stuttard, Jonathan
AU - Davies, Bethan
AU - Fecht, Daniela
AU - Muller, Emily S.
AU - Nathvani, Ricky S.
AU - Sportiche, Noemie
AU - Daby, Hima Iyathooray
AU - Johnson, Eric
AU - Li, Guangquan
AU - Flaxman, Seth
AU - Toledano, Mireille B.
AU - Asaria, Miqdad
AU - Ezzati, Majid
N1 - Funding information: The statistical methods and their implementation have benefited from discussions with Christopher Paciorek, and the Discussion section from discussions with Peter Smith. This work was supported by the Pathways to Equitable Healthy Cities grant from the Wellcome Trust ( 209376/Z/17/Z ). TR is supported by an Imperial College President's PhD scholarship. MBT’s Chair is supported in part by a donation from Marit Mohn to Imperial College London to support Population Child Health through the Mohn Centre for Children’s Health and Wellbeing. The mortality data used for this study were supplied by the Office for National Statistics, derived from the national death and birth registration and the census and held by the UK Small Area Health Statistics Unit (SAHSU). SAHSU holds approval from the Health Research Authority Confidentiality Advisory Group under regulation 5 of the health service (Control of Patient Information) regulations 2002 (section 251; reference 20/CAG/0028), and the National Research Ethics Service: London-South East Research Ethics Committee (reference 22/LO/0256). The work of SAHSU is funded by the UK Medical Research Council, Public Health England, and the National Institutes for Health Research (NIHR) through Health Protection Units at Imperial College London in Environmental Exposures and Health (NIHR-200880) and in Chemical and Radiation Threats and Hazards (NIHR-200922). This paper does not necessarily reflect the views of Public Health England, the NIHR, or the Department of Health and Social Care. The house price data contain HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0. For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.
PY - 2023/4/1
Y1 - 2023/4/1
N2 - Background: London has outperformed smaller towns and rural areas in terms of life expectancy increase. Our aim was to investigate life expectancy change at very-small-area level, and its relationship with house prices and their change. Methods: We performed a hyper-resolution spatiotemporal analysis from 2002 to 2019 for 4835 London Lower-layer Super Output Areas (LSOAs). We used population and death counts in a Bayesian hierarchical model to estimate age- and sex-specific death rates for each LSOA, converted to life expectancy at birth using life table methods. We used data from the Land Registry via the real estate website Rightmove (www.rightmove.co.uk), with information on property size, type and land tenure in a hierarchical model to estimate house prices at LSOA level. We used linear regressions to summarise how much life expectancy changed in relation to the combination of house prices in 2002 and their change from 2002 to 2019. We calculated the correlation between change in price and change in sociodemographic characteristics of the resident population of LSOAs and population turnover. Findings: In 134 (2.8%) of London's LSOAs for women and 32 (0.7%) for men, life expectancy may have declined from 2002 to 2019, with a posterior probability of a decline >80% in 41 (0.8%, women) and 14 (0.3%, men) LSOAs. The life expectancy increase in other LSOAs ranged from <2 years in 537 (11.1%) LSOAs for women and 214 (4.4%) for men to >10 years in 220 (4.6%) for women and 211 (4.4%) for men. The 2.5th-97.5th-percentile life expectancy difference across LSOAs increased from 11.1 (10.7–11.5) years in 2002 to 19.1 (18.4–19.7) years for women in 2019, and from 11.6 (11.3–12.0) years to 17.2 (16.7–17.8) years for men. In the 20% (men) and 30% (women) of LSOAs where house prices had been lowest in 2002, mainly in east and outer west London, life expectancy increased only in proportion to the rise in house prices. In contrast, in the 30% (men) and 60% (women) most expensive LSOAs in 2002, life expectancy increased solely independently of price change. Except for the 20% of LSOAs that had been most expensive in 2002, LSOAs with larger house price increases experienced larger growth in their population, especially among people of working ages (30–69 years), had a larger share of households who had not lived there in 2002, and improved their rankings in education, poverty and employment. Interpretation: Large gains in area life expectancy in London occurred either where house prices were already high, or in areas where house prices grew the most. In the latter group, the increases in life expectancy may be driven, in part, by changing population demographics. Funding: Wellcome Trust; UKRI MRC; Imperial College London; National Institutes of Health Research.
AB - Background: London has outperformed smaller towns and rural areas in terms of life expectancy increase. Our aim was to investigate life expectancy change at very-small-area level, and its relationship with house prices and their change. Methods: We performed a hyper-resolution spatiotemporal analysis from 2002 to 2019 for 4835 London Lower-layer Super Output Areas (LSOAs). We used population and death counts in a Bayesian hierarchical model to estimate age- and sex-specific death rates for each LSOA, converted to life expectancy at birth using life table methods. We used data from the Land Registry via the real estate website Rightmove (www.rightmove.co.uk), with information on property size, type and land tenure in a hierarchical model to estimate house prices at LSOA level. We used linear regressions to summarise how much life expectancy changed in relation to the combination of house prices in 2002 and their change from 2002 to 2019. We calculated the correlation between change in price and change in sociodemographic characteristics of the resident population of LSOAs and population turnover. Findings: In 134 (2.8%) of London's LSOAs for women and 32 (0.7%) for men, life expectancy may have declined from 2002 to 2019, with a posterior probability of a decline >80% in 41 (0.8%, women) and 14 (0.3%, men) LSOAs. The life expectancy increase in other LSOAs ranged from <2 years in 537 (11.1%) LSOAs for women and 214 (4.4%) for men to >10 years in 220 (4.6%) for women and 211 (4.4%) for men. The 2.5th-97.5th-percentile life expectancy difference across LSOAs increased from 11.1 (10.7–11.5) years in 2002 to 19.1 (18.4–19.7) years for women in 2019, and from 11.6 (11.3–12.0) years to 17.2 (16.7–17.8) years for men. In the 20% (men) and 30% (women) of LSOAs where house prices had been lowest in 2002, mainly in east and outer west London, life expectancy increased only in proportion to the rise in house prices. In contrast, in the 30% (men) and 60% (women) most expensive LSOAs in 2002, life expectancy increased solely independently of price change. Except for the 20% of LSOAs that had been most expensive in 2002, LSOAs with larger house price increases experienced larger growth in their population, especially among people of working ages (30–69 years), had a larger share of households who had not lived there in 2002, and improved their rankings in education, poverty and employment. Interpretation: Large gains in area life expectancy in London occurred either where house prices were already high, or in areas where house prices grew the most. In the latter group, the increases in life expectancy may be driven, in part, by changing population demographics. Funding: Wellcome Trust; UKRI MRC; Imperial College London; National Institutes of Health Research.
KW - Health inequality
KW - House prices
KW - Life expectancy
KW - Small area
UR - http://www.scopus.com/inward/record.url?scp=85147830261&partnerID=8YFLogxK
U2 - 10.1016/j.lanepe.2022.100580
DO - 10.1016/j.lanepe.2022.100580
M3 - Article
C2 - 37069855
AN - SCOPUS:85147830261
SN - 2666-7762
VL - 27
JO - The Lancet Regional Health - Europe
JF - The Lancet Regional Health - Europe
M1 - 100580
ER -