Evidence map›Paper›PMID 41592559›Full record

ArticlePsychotherapie, Psychosomatik, medizinische Psychologie2026

[Prevalence and socio-medical performance among unemployed people in Germany - Analysis of data of the Medical Service of the Federal Employment Agency].

Andreas Guenter Franke, Kirsi Manz, Norbert Scherbaum, Claudia Pieper, Patrik Roser, Gabriele Lotz-Metz

Abstract readEnglish Abstract
In one paragraph

Article in Psychotherapie, Psychosomatik, medizinische Psychologie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

6 authors.

Andreas Guenter FrankeFachbereich Beratungswissenschaften, Hochschule der Bundesagentur für Arbeit, Mannheim.ORCID 0009-0006-6120-6856
Kirsi ManzKlinik für Hämatologie, Hämostaseologie, Onkologie und Stammzellentransplantation, Medizinische Hochschule Hannover.
Norbert ScherbaumLVR-Universitätsklinik Essen, Klinik für Psychiatrie und Psychotherapie, Medizinische Fakultät, Universität Duisburg-Essen, Essen.
Claudia PieperInstitut für Medizinische Informatik, Biometrie und Epidemiologie, Universitätsklinikum Essen.ORCID 0000-0001-5986-9788
Patrik RoserLVR-Universitätsklinik Essen, Klinik für Psychiatrie und Psychotherapie, Medizinische Fakultät, Universität Duisburg-Essen, Essen.
Gabriele Lotz-MetzÄrztlicher Dienst, Bundesagentur für Arbeit, Nürnberg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The fundamental association between unemployment and health problems has long been recognized. This raises questions about the most common illnesses among unemployed people and any resulting loss of productivity. The aim of the study is to present the 20 most common illnesses among unemployed people examined by the Medical Service (ÄD) of the Federal Employment Agency (BA) and to analyze any resulting loss of productivity for the (general) labor market and other associated factors. Methods: For this multi-year cross-sectional study study (2016-2021), the 20 most common diseases/ diagnoses from all (n=4,249,028) social medical assessments conducted by the Medical Service (ÄD) of the Federal Employment Agency were analyzed, along with the respective primary and secondary diagnoses based on ICD-10 codes and associated factors (gender, age, performance profile) from the ÄD databases. For data analyses descriptive statistics and binary logistic regression were used. Results: Of the approximately 500,000 social medical assessments carried out by the MS each year, nearly all clients (2016: 90.1%; 2021: 99.5%) received a diagnosis. Depressive episodes (n=416,531; 10.2%), recurrent depressive disorders (n=415,651; 10.1%) and (other) anxiety disorders (n=169,112; 4.6%) belong to the most frequent diagnoses. Among the non-psychiatric disorders, back pain (n=243,389; 6.6%), (primary) hypertension (n=146,316; 4.0%) and (other) disc damage (n=91,861; 2.2%) occupy the top three places. Age and gender differed significantly depending on the disease. Overall, 33.9% of all assessed clients were classified as incapacitated (<3 hours/day), with mental illnesses being the most common reason for this, with schizophrenia being the most common at 63.6%). Discussion: Mental disorders are particularly common among people who are unemployed. This should be taken into account in medical care and labor market integration to overcome both: unemployment and (psychiatric) illness. Keywords: Unemployment, illnesses, epidemiology, inability to work, long term unemployment.

Indexed as

Mental DisordersUnemploymentAdultCross-Sectional StudiesEmploymentFemaleGermanyHumansMaleMiddle AgedPrevalenceSocioeconomic FactorsYoung Adult

Identifiers

PMID41592559
PMCPMC13186610

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.