Evidence map›Paper›PMID 29180946›Full record

ArticleEuropean journal of ageing2017

Educational inequalities in late-life depression across Europe: results from the generations and gender survey.

Thomas Hansen, Britt Slagsvold, Marijke Veenstra

Abstract read
In one paragraph

Article in European journal of ageing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Thomas HansenNorwegian Social Research (NOVA), Oslo and Akershus University College of Applied Sciences, Oslo, Norway.ORCID 0000-0001-7529-9252
Britt SlagsvoldNorwegian Social Research (NOVA), Oslo and Akershus University College of Applied Sciences, Oslo, Norway.
Marijke VeenstraNorwegian Social Research (NOVA), Oslo and Akershus University College of Applied Sciences, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores country- and gender-stratified educational differences in depression among older adults from 10 European countries. We examine inequalities in both absolute (prevalence differences) and relative (odds ratios) terms and in bivariate and multivariate models. We use cross-sectional, nationally representative data from the generations and gender survey. The analysis comprises 27,331 Europeans aged 60-80. Depression is measured with a seven-item version of the Center for Epidemiologic Studies Depression scale. Findings show considerable between-country heterogeneity in late-life depression. An East-West gradient is evident, with rates of depression up to three times higher in Eastern European than in Scandinavian countries. Rates are about twice as high among women than men in all countries. Findings reveal marked absolute educational gaps in depression in all countries, yet the gaps are larger in weaker welfare states. This pattern is less pronounced for the relative inequalities, especially for women. Some countries observe similar relative inequalities but vastly different absolute inequalities. We argue that the absolute differences are more important for social policy development and evaluation. Educational gradients in depression are strongly mediated by individual-level health and financial variables. Socioeconomic variation in late-life depression is greater in countries with poorer economic development and welfare programs.

Indexed as

Comparative researchDepressionEducational inequalitiesEuropeOlder adults

Identifiers

PMID29180946
PMCPMC5684038

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.