Evidence map›Paper›PMID 33154147›Full record

SynthesisJournal of epidemiology and community health2021

Gender, marital and educational inequalities in mid- to late-life depressive symptoms: cross-cohort variation and moderation by urbanicity degree.

Milagros A Ruiz, Marielle A Beenackers, Dany Doiron, Asli Gurer, Aliou Sarr, Nazmul Sohel, Erik J Timmermans, Rita Wissa, Basile Chaix, Martijn Huisman and 7 more

Open access · hybridAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of epidemiology and community health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

17 authors at 12 institutions in 8 countries.

Milagros A RuizResearch Department of Epidemiology and Public Health, University College London, London, UK m.a.ruiz@ucl.ac.uk.ORCID 0000-0001-7492-9873
Marielle A BeenackersDepartment of Public Health, Erasmus University Medical Center, Rotterdam, Netherlands.
Dany DoironResearch Institute of the McGill University Health Centre, Montreal, Canada.
Asli GurerResearch Institute of the McGill University Health Centre, Montreal, Canada.
Aliou SarrResearch Institute of the McGill University Health Centre, Montreal, Canada.
Nazmul SohelDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Erik J TimmermansDepartment of Epidemiology and Biostatistics, Amsterdam UMC, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands.ORCID 0000-0002-3414-7196
Rita WissaResearch Institute of the McGill University Health Centre, Montreal, Canada.
Basile ChaixSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Nemesis Research Team, Paris, France.
Martijn HuismanDepartment of Epidemiology and Biostatistics, Amsterdam UMC, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands.
Steinar KrokstadHUNT Research Centre, Department of Public Health and General Practice, Faculty of Medicine, Norwegian University of Science and Technology (NTNU), Levanger, Norway.ORCID 0000-0002-2932-6675
Ruzena KubinovaCentre for Environmental Health Monitoring, National Institute of Public Health, Prague, Czech Republic.
Sofia MalyutinaResearch Institute of Internal and Preventive Medicine, Branch of the Institute of Cytology and Genetics, SB RAS, Novosibirsk, Russia.
Parminder RainaDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Abdonas TamosiunasInstitute of Cardiology, Academy of Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Frank J van LentheDepartment of Public Health, Erasmus University Medical Center, Rotterdam, Netherlands.
Martin BobakResearch Department of Epidemiology and Public Health, University College London, London, UK.
McGill University Health Centre · CAImpact · CAUniversity College London · GBAmsterdam UMC Location Vrije Universiteit Amsterdam · NLErasmus MC · NLInserm · FRLithuanian University of Health Sciences · LTNational Institute of Public Health · CZNorwegian University of Science and Technology · NONovosibirsk State Medical University · RUUtrecht University · NLVrije Universiteit Amsterdam · NL

Funding

Health disparities and agingin societies in transitionR01AG023522 · NIA · UNIVERSITY COLLEGE LONDON · PI MARMOT, MICHAEL G · 2004 to 2008
$2.2M
CIHR LSA 94473NIA NIH HHS R01 AG023522Wellcome TrustWellcome Trust 064947Wellcome Trust 081081
6 · The paper itself

Abstract

backgroundAlthough ageing populations are increasingly residing in cities, it is unknown whether depression inequalities are moderated by urbanicity degree. We estimated gender, marital and educational inequalities in depressive symptoms among older European and Canadian adults, and examined whether higher levels of urbanicity, captured by population density, heightened these inequalities.

methodsHarmonised cross-sectional data on 97 826 adults aged ≥50 years from eight cohorts were used. Prevalence ratios (PRs) were calculated for probable depression, depressed affect and depressive symptom severity by gender, marital status and education within each cohort, and combined using random-effects meta-analysis. Using a subsample of 73 123 adults from six cohorts with available data on population density, we tested moderating effects measured by the number of residents per square kilometre.

resultsThe pooled PRs for probable depression by female gender, unmarried or non-cohabitating status and low education were 1.48 (95% CI 1.28 to 1.72), 1.44 (95% CI 1.29 to 1.61) and 1.29 (95% CI 1.18 to 1.41), respectively. PRs for depressed affect and high symptom severity were broadly similar. Except for one Dutch cohort with findings in an unexpected direction, there was no evidence that population density modified depressive symptom inequalities.

conclusionsDespite cross-cohort variation in gender, marital status and educational inequalities in depressive symptoms, there was weak evidence that these inequalities differed by levels of population density.

Indexed as

DepressionCanadaCohort StudiesCross-Sectional StudiesEducational StatusFemaleHumansMiddle AgedAgeingdepressionsocial epidemiologyurbanisation

Identifiers

PMID33154147
PMCPMC8053350
OpenAlexW3095184006

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.