Evidence map›Paper›PMID 31217447›Full record

ArticleScientific reports2019

Neighbourhood socioeconomic deprivation and allostatic load: a multi-cohort study.

Ana Isabel Ribeiro, Silvia Fraga, Michelle Kelly-Irving, Cyrille Delpierre, Silvia Stringhini, Mika Kivimaki, Stéphane Joost, Idris Guessous, Martina Gandini, Paolo Vineis and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
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  7. Review
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  11. Article
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  15. Article
  16. Connecting to Community: A Social Identity Approach to Neighborhood Mental Health.Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc · 2024
    Review
  17. Article
  18. Article
  19. Association Between Neighborhood Opportunity, Allostatic Load, and All-Cause Mortality in Patients With Breast Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  20. Review
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

11 authors.

Ana Isabel RibeiroEPIUnit - Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, no. 135, 4050-600, Porto, Portugal. ana.isabel.ribeiro@ispup.up.pt.
Silvia FragaEPIUnit - Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, no. 135, 4050-600, Porto, Portugal.ORCID http://orcid.org/0000-0002-5268-7751
Michelle Kelly-IrvingINSERM, UMR1027, Toulouse, France, and Université Toulouse III Paul-Sabatier, Toulouse, France.
Cyrille DelpierreINSERM, UMR1027, Toulouse, France, and Université Toulouse III Paul-Sabatier, Toulouse, France.
Silvia StringhiniInstitute of Social and Preventive Medicine, Lausanne University Hospital, Biopôle 2-Route de la Corniche 10, 1010, Lausanne, Switzerland.
Mika KivimakiUniversity College London, Department of Epidemiology and Public Health, London, UK.ORCID http://orcid.org/0000-0002-4699-5627
Stéphane JoostInstitute of Social and Preventive Medicine, Lausanne University Hospital, Biopôle 2-Route de la Corniche 10, 1010, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-1184-7501
Idris GuessousUnit of Population Epidemiology, Division of Primary Care Medicine, Department of Community Medicine, Primary Care and Emergency Medicine, Geneva University Hospitals, Geneva, Switzerland.
Martina GandiniEpidemiology Unit, ASL TO3 Piedmont Region, Grugliasco, (TO), Italy.
Paolo VineisMRC-PHE Centre for Environment and Health, School of Public Health, Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
Henrique BarrosEPIUnit - Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, no. 135, 4050-600, Porto, Portugal.

Funding

Medical Research Council K013351Medical Research Council MR/L01341X/1Medical Research Council MR/R024227/1Medical Research Council MR/S011676/1
6 · The paper itself

Abstract

Living in deprived neighbourhoods may have biological consequences, but few studies have assessed this empirically. We examined the association between neighbourhood deprivation and allostatic load, a biological marker of wear and tear, taking into account individual's socioeconomic position. We analysed data from three cohort studies (CoLaus-Switzerland; EPIPorto-Portugal; Whitehall II-UK) comprising 16,364 participants. We defined allostatic load using ten biomarkers of dysregulated metabolic, cardiovascular, and inflammatory systems (body mass index; waist circumference; total, high and low density lipoprotein cholesterol; triglycerides; glucose; systolic and diastolic blood pressure; C-reactive protein). Mixed Poisson regression models were fitted to examine associations with neighbourhood deprivation (in quintiles, Q1-least deprived as reference). After adjustment for confounding variables, participants living in the most deprived quintile had 1.13 times higher allostatic load than those living in the least deprived quintile (Relative Risk, RR, for Q2 RR = 1.06, 95% CI 1.03-1.09; Q3 = 1.06, 1.03-1.10; Q4 = 1.09, 1.06-1.12; Q5 = 1.13, 1.09-1.16). This association was partially modified by individual's socioeconomic position, such that the relative risk was higher in participants with low socioeconomic position (Q5 vs Q1 1.16, 1.11-1.22) than those with high socioeconomic position (Q5 vs Q1 1.07, 1.01-1.13). Neighbourhood deprivation is associated with biological wear and tear, suggesting that neighbourhood-level interventions may yield health gains.

Indexed as

AllostasisPsychosocial DeprivationResidence CharacteristicsSocioeconomic FactorsCohort StudiesFemaleHumansMaleMiddle AgedPortugalSwitzerlandUnited Kingdom

Identifiers

PMID31217447
PMCPMC6584573

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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.