Evidence map›Paper›PMID 34051163›Full record

ArticleThe Lancet. Public health2021

Modifications to residential neighbourhood characteristics and risk of 79 common health conditions: a prospective cohort study.

Mika Kivimäki, G David Batty, Jaana Pentti, Solja T Nyberg, Joni V Lindbohm, Jenni Ervasti, Carlos Gonzales-Inca, Sakari B Suominen, Sari Stenholm, Pyry N Sipilä and 2 more

Abstract read
In one paragraph

Article in The Lancet. Public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
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

29 citing papers in PubMed.

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  10. Association of neighborhood economic trajectories and risk of mortality among older adults.Archives of public health = Archives belges de sante publique · 2026
    Article
  11. Article
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  13. A Longitudinal Ecologic Analysis of Neighborhood-Level Social Inequalities in Health in Texas.International journal of environmental research and public health · 2025
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  15. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Mika KivimäkiDepartment of Epidemiology and Public Health, University College London, London, UK; Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Finnish Institute of Occupational Health, Helsinki, Finland. Electronic address: m.kivimaki@ucl.ac.uk.
G David BattyDepartment of Epidemiology and Public Health, University College London, London, UK.
Jaana PenttiClinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Finnish Institute of Occupational Health, Helsinki, Finland; Department of Public Health, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.
Solja T NybergClinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Finnish Institute of Occupational Health, Helsinki, Finland.
Joni V LindbohmClinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Jenni ErvastiFinnish Institute of Occupational Health, Helsinki, Finland.
Carlos Gonzales-IncaDepartment of Geography and Geology, Turku, Finland.
Sakari B SuominenDepartment of Public Health, University of Turku, Turku, Finland; University of Skövde, Skövde, Sweden.
Sari StenholmDepartment of Public Health, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.
Pyry N SipiläClinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Payam DadvandBarcelona Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain.
Jussi VahteraDepartment of Public Health, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.

Funding

Education, socioeconomic status and Aging: transitions from multimorbidity to functional limitations and mortalityR01AG056477 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2018 to 2022
$2.8M
Healthy transitions from mid-life to early older age: biomedical follow-up of 1958 Birth Cohort Study members at age 60R56AG052519 · NIA · UNIVERSITY COLLEGE LONDON · PI BATTY, DAVID, GOODMAN, ALISSA · 2016 to 2016
$500k
Medical Research Council MR/P023444/1Medical Research Council MR/S011676/1NIA NIH HHS R01 AG056477NIA NIH HHS R56 AG052519
6 · The paper itself

Abstract

backgroundObservational studies have identified a link between unfavourable neighbourhood characteristics and increased risk of morbidity, but it is unclear whether changes in neighbourhoods affect future disease risk. We used a data-driven approach to assess the impact of neighbourhood modification on 79 health outcomes.

methodsIn this prospective cohort study, we used pooled, individual-level data from two Finnish cohort studies: the Health and Social Support study and the Finnish Public Sector study. Neighbourhood characteristics (mean educational level, median income, and employment rate of residents, and neighbourhood green space) and individual lifestyle factors of community-dwelling individuals were assessed at baseline (at different waves starting between 1998 and 2013). We repeated assessment of neighbourhood characteristics and lifestyle factors approximately 5 years from each baseline assessment, after which follow-up began for health conditions diagnosed according to the WHO International Classification of Diseases for 79 common health conditions using linkage to electronic health records. We used Cox proportional hazard regression models to compute adjusted hazard ratios (HRs) of incident disease associated with neighbourhood characteristics and changes in neighbourhood characteristics over time and logistic regression analysis to compute adjusted odds of association between changes in neighbourhood characteristics and individual lifestyle factors.

findings114 786 individuals (87 012 [75·8%] women; mean age 44·4 years [SD 11·1]) had complete data and were included in this cohort study. During 1·17 million person-years at risk, we recorded 164 368 new-onset health conditions and 3438 deaths. Favourable changes in neighbourhood characteristics were associated with reduced risk of all-cause mortality and incidence of 19 specific health conditions. Unfavourable changes were correspondingly associated with increased risk of mortality and 27 specific health conditions. Among participants who did not move residence during the observation period, relative to individuals who continually lived in disadvantaged neighbourhoods, those who experienced favourable modifications in neighbourhood characteristics had a lower risk of future diabetes (HR 0·84, 95% CI 0·75-0·93), stroke (0·49, 0·29-0·83), skin disease (0·72, 0·53-0·97), and osteoarthritis (0·87, 0·77-0·99). Living in a neighbourhood with improving characteristics was also associated with improvements in individual-level health-related lifestyle factors. Among participants who lived in advantaged residential environments at baseline, unfavourable changes in neighbourhood characteristics were associated with an increased risk of diabetes, stroke, skin disease, and osteoarthritis compared with individuals who lived in advantaged neighbourhoods throughout the study period.

interpretationFavourable modifications to residential neighbourhoods showed robust, longitudinal associations with a range of improvements in health outcomes, including improved health behaviours and reduced risk of cardiometabolic, infectious, and orthopaedic conditions.

fundingUK Medical Research Council, US National Institute on Aging, NordForsk, and Academy of Finland.

Indexed as

Health BehaviorLife StyleResidence CharacteristicsSocioeconomic FactorsAdultCohort StudiesFemaleFinlandHumansLongitudinal StudiesMaleMiddle AgedMorbidityMortalityProportional Hazards ModelsProspective Studies

Identifiers

PMID34051163
PMCPMC8172714

What OpenQuestion holds

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Registered trials

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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.