Evidence map›Paper›PMID 33192685›Full record

ArticleFrontiers in psychiatry2020

Depressive Symptomatology in Early Retirees Associated With Reason for Retirement-Results From the Population-Based LIFE-Adult-Study.

Andrea E Zuelke, Susanne Roehr, Matthias L Schroeter, A Veronica Witte, Andreas Hinz, Heide Glaesmer, Christoph Engel, Cornelia Enzenbach, Silke Zachariae, Samira Zeynalova and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Depressive symptoms and receipt of pensions: a cross-sectional analysis of the ELSI-Brazil study.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023
    Article
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

13 authors at 2 institutions in 2 countries.

Andrea E ZuelkeInstitute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany.
Susanne RoehrInstitute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany.
Matthias L SchroeterDepartment of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
A Veronica WitteDepartment of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Andreas HinzDepartment of Medical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany.
Heide GlaesmerDepartment of Medical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany.
Christoph EngelInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.
Cornelia EnzenbachInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.
Silke ZachariaeInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.
Samira ZeynalovaInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.
Markus LoefflerInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.
Arno VillringerDepartment of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Steffi G Riedel-HellerInstitute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany.
Leipzig University · DEMax Planck Institute for Human Cognitive and Brain Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransition from employment to retirement is regarded a crucial event. However, there is mixed evidence on associations between retirement and mental health, especially regarding early retirement. In Germany, cases of early retirement due to ill health-particularly, mental ill health-are increasing. Therefore, we investigated the association between early retirement and depressive symptoms, including information on different types of early retirement.

methodsWe analyzed data from 4,808 participants of the population-based LIFE-Adult-Study (age: 40-65 years, 654 retired, 4,154 employed), controlling for sociodemographic information, social network, pre-existing health conditions, and duration of retirement. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale. Regression analysis using entropy balancing was applied to achieve covariate balance between retired and employed subjects.

resultsWe found no overall-differences in depressive symptoms between employed and retired persons (men: b = -.52; p = 0.431; women: b = .05; p = .950). When looking at different types of early retirement, ill-health retirement was linked to increased depressive symptoms in women (b = 4.68, 95% CI = 1.71; 7.65), while voluntary retirement was associated with reduced depressive symptoms in men (b= -1.83, 95% CI = -3.22; -.43) even after controlling for covariates. For women, statutory retirement was linked to lower depressive symptomatology (b = -2.00, 95% CI = -3.99; -.02).

conclusionDepressive symptomatology among early retirees depends on reason for retirement: For women, ill-health retirement is linked to higher levels of depressive symptoms. Women who retire early due to ill-health constitute a risk group for depressive symptoms that needs specific attention in the health care and social security system.

Indexed as

Center for Epidemiologic Studies Depression Scaledepressive symptomsearly retirementmental healthpensionpopulation-based study

Identifiers

PMID33192685
PMCPMC7530286
OpenAlexW3088182176

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.