Evidence map›Paper›PMID 36612807›Full record

ArticleInternational journal of environmental research and public health2022

Association between Neighbourhood Deprivation Trajectories and Self-Perceived Health: Analysis of a Linked Survey and Health Administrative Data.

Sékou Samadoulougou, Laurence Letarte, Alexandre Lebel, TorSaDE Cohort Working Group

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Sékou SamadoulougouEvaluation Platform on Obesity Prevention (PEPO), Quebec Heart and Lung Institute, Quebec, QC G1V 4G5, Canada.ORCID 0000-0001-9250-1264
Laurence LetarteEvaluation Platform on Obesity Prevention (PEPO), Quebec Heart and Lung Institute, Quebec, QC G1V 4G5, Canada.
Alexandre LebelEvaluation Platform on Obesity Prevention (PEPO), Quebec Heart and Lung Institute, Quebec, QC G1V 4G5, Canada.
TorSaDE Cohort Working Group

Funding

CIHR 391051
6 · The paper itself

Abstract

Life course exposure to neighbourhood deprivation may have a previously unstudied relationship with health disparities. This study examined the association between neighbourhood deprivation trajectories (NDTs) and poor reported self-perceived health (SPH) among Quebec's adult population. Data of 45,990 adults with complete residential address histories from the Care-Trajectories-Enriched Data cohort, which links Canadian Community Health Survey respondents to health administrative data, were used. Accordingly, participants were categorised into nine NDTs (T1 (Privileged Stable)-T9 (Deprived Stable)). Using multivariate logistic regression, the association between trajectory groups and poor SPH was estimated. Of the participants, 10.3% (95% confidence interval [CI]: 9.9-10.8) had poor SPH status. This proportion varied considerably across NDTs: From 6.4% (95% CI: 5.7-7.2) for Privileged Stable (most advantaged) to 16.4% (95% CI: 15.0-17.8) for Deprived Stable (most disadvantaged) trajectories. After adjustment, the likelihood of reporting poor SPH was significantly higher among participants assigned to a Deprived Upward (odds ratio [OR]: 1.77; 95% CI: 1.48-2.12), Average Downward (OR: 1.75; CI: 1.08-2.84) or Deprived trajectory (OR: 1.81; CI: 1.45-2.86), compared to the Privileged trajectory. Long-term exposure to neighbourhood deprivation may be a risk factor for poor SPH. Thus, NDT measures should be considered when selecting a target population for public-health-related interventions.

Indexed as

Residence CharacteristicsRoutinely Collected Health DataAdultCanadaHealth StatusHumansSocioeconomic FactorsSurveys and Questionnairesdeprivationinequalityneighbourhoodself-perceived health

Identifiers

PMID36612807
PMCPMC9819741

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.