Evidence map›Paper›PMID 39444226›Full record

ArticleEuropean journal of pain (London, England)2025

Pain intensity and comorbid depressive symptoms in the general population: An analysis of the German Health Update Study (GEDA 2019/2020-EHIS).

Jan Niklas Ahrend, Kathrin Jobski, Carsten Bantel, Falk Hoffmann

Abstract read
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Article in European journal of pain (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jan Niklas AhrendFakultät VI Medizin Und Gesundheitswissenschaften; Department für Versorgungsforschung, Bismarckstraße 20, Carl Von Ossietzky University, Oldenburg, Germany.ORCID https://orcid.org/0009-0003-5504-3817
Kathrin JobskiFakultät VI Medizin Und Gesundheitswissenschaften; Department für Versorgungsforschung, Carl Von Ossietzky Universität Oldenburg, Oldenburg, Germany.ORCID https://orcid.org/0000-0002-3957-9721
Carsten BantelAnesthesiology, Critical Care, Emergency Medicine, and Pain Management, School of Medicine and Health Sciences, University of Oldenburg, Oldenburg, Germany.ORCID https://orcid.org/0000-0002-1165-8081
Falk HoffmannFakultät VI Medizin Und Gesundheitswissenschaften; Department für Versorgungsforschung, Carl Von Ossietzky Universität Oldenburg, Oldenburg, Germany.ORCID https://orcid.org/0000-0003-0182-5373

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPain and depressive symptoms often co-occur, but the influence of pain intensity remains unclear. This study analyses the association between pain intensity and depressive symptoms in the general adult German population.

methodsData was obtained from the cross-sectional German Health Update Study (GEDA 2019/2020-EHIS). Pain intensity in the last 4 weeks was categorized into no pain, mild, moderate, and severe. Depressive symptoms were assessed using the 8-item Patient Health Questionnaire (PHQ-8). The prevalence of depressive symptoms was analysed including a 95% confidence interval (95% CI). A multivariable logistic regression analysed associated factors with depressive symptoms by odds ratio (OR).

resultsOf 22,708 participants (51.0% women, 35.1% aged 45-64 years), 41.2% reported no pain, 32.1% mild, 15.3% moderate, and 11.5% severe pain. Depressive symptoms were present in 8.3% overall (women 9.1%, men 7.5%). Participants with no pain, mild, moderate, and severe pain reported depressive symptoms in 2.5%, 6.5%, 14.4%, and 27.1%, respectively. In the multivariable analysis, higher pain intensity was associated with a higher risk of depressive symptoms (mild pain OR 1.8, 95% CI 1.3-2.4; moderate pain OR 2.8, 95% CI 2.0-4.0; severe pain OR 4.0, 95% CI 2.8-5.6). Depressive symptoms were further associated with a Body Mass Index (BMI) under 18.5 kg m

conclusionsHigher pain intensity increases the risk of depressive symptoms. We suggest regular assessment of pain and further assessment of depressive symptoms in patients with moderate or severe pain. SIGNIFICANCE STATEMENT: Our study found a clear association between higher pain intensity and depressive symptoms in the general population across all types of pain. Further, being underweight was linked to depressive symptoms overall and the highest prevalence of depressive symptoms was found in underweight persons with severe pain. These findings highlight the importance of assessing depressive symptoms in patients with higher pain intensity, especially in underweight patients.

Indexed as

DepressionPainAdultAgedComorbidityCross-Sectional StudiesFemaleGermanyHumansMaleMiddle AgedPain MeasurementPrevalence

Identifiers

PMID39444226
PMCPMC11755701

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