Evidence map›Paper›PMID 37069855›Full record

ArticleThe Lancet regional health. Europe2023

Changes in life expectancy and house prices in London from 2002 to 2019: hyper-resolution spatiotemporal analysis of death registration and real estate data.

James E Bennett, Theo Rashid, Alireza Zolfaghari, Yvonne Doyle, Esra Suel, Jonathan Pearson-Stuttard, Bethan Davies, Daniela Fecht, Emily S Muller, Ricky S Nathvani and 8 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Europe, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Coincided disparity between housing price and health outcome.The Lancet regional health. Europe · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 7 institutions in 3 countries.

James E BennettDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Theo RashidDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Alireza ZolfaghariDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Yvonne DoyleVisiting Professor of European Public Health, London School of Hygiene & Tropical Medicine, London, UK.
Esra SuelDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Jonathan Pearson-StuttardDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Bethan DaviesDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Daniela FechtDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Emily S MullerDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Ricky S NathvaniDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Noemie SporticheHealth Policy PhD program, Harvard University, Cambridge, MA, USA.
Hima Iyathooray DabyDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Eric JohnsonDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Guangquan LiDepartment of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle-upon-Tyne, UK.
Seth FlaxmanDepartment of Computer Science, University of Oxford, Oxford, UK.
Mireille B ToledanoDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Miqdad AsariaDepartment of Health Policy, London School of Economics and Political Science, London, UK.
Majid EzzatiDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
MRC Centre for Environment and HealthHarvard University · USHealth Foundation · GBLondon School of Hygiene & Tropical Medicine · GBNorthumbria University · GBUniversity of Ghana · GHUniversity of Oxford · GB

Funding

Medical Research Council MR/L01341X/1Medical Research Council MR/S003983/1Medical Research Council MR/S019669/1Medical Research Council MR/T03226X/1Medical Research Council MR/T502613/1Wellcome Trust
6 · The paper itself

Abstract

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.

Indexed as

Health inequalityHouse pricesLife expectancySmall area

Identifiers

PMID37069855
PMCPMC10105258
OpenAlexW4320006371

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.