Evidence map›Paper›PMID 42656302›Full record

ArticleFrontiers in psychiatry2026

Psychometric properties and population norms of the Brief Symptom Inventory-18 (BSI-18) based on a representative German sample.

Sören Kliem, Anna Lohmann, Sebastian Fischer, Markus Zenger, Dirk Baier, Elmar Brähler, Jörg M Fegert, Nora Hettich-Damm, Cedric Sachser

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

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5 · Who and what money

Authors and funding

9 authors.

Sören KliemDepartment of Social Welfare, Ernst-Abbe University of Applied Sciences Jena, Jena, Germany.
Anna LohmannDepartment of Social Welfare, Ernst-Abbe University of Applied Sciences Jena, Jena, Germany.
Sebastian FischerDepartment of Social Welfare, Ernst-Abbe University of Applied Sciences Jena, Jena, Germany.
Markus ZengerFaculty of Applied Human Studies, University of Applied Sciences Magdeburg and Stendal, Stendal, Germany.
Dirk BaierInstitute of Delinquency and Crime Prevention, Zurich University of Applied Sciences, Zurich, Switzerland.
Elmar BrählerDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Jörg M FegertDepartment of Child and Adolescent Psychiatry and Psychotherapy, Ulm University Medical Center, Ulm, Germany.
Nora Hettich-DammDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Cedric SachserDepartment of Child and Adolescent Psychiatry and Psychotherapy, Ulm University Medical Center, Ulm, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Brief Symptom Inventory-18 (BSI-18) is a widely used self-report measure of psychological distress assessing somatization, depression, and anxiety. Although German population norms were published in 2017 based on data from 2009, updated psychometric evidence using modern statistical methods is lacking. Methods: The BSI-18 was administered to a random probability sample representative of the German residential population aged 16 years and older (N = 2,519; 52.5% women; age range 16-96 years), collected between December 2020 and March 2021. Psychometric evaluation included confirmatory factor analysis (CFA) with the weighted least squares mean and variance adjusted (WLSMV) estimator, internal consistency (McDonald's omega and Cronbach's alpha with bootstrap confidence intervals), measurement invariance across gender, age, and clinical screening status, construct validity via latent correlations with the PHQ-9, GAD-7, and CFQ-11, and age- and gender-stratified population norms. Cross-cohort comparisons were conducted with the normative sample from 2009. Results: The correlated three-factor model showed good fit (χ Conclusions: The German BSI-18 demonstrated sound psychometric properties, including full measurement invariance. The updated population norms provide a useful reference for clinical practice. Cross-cohort comparisons revealed no general increase in distress during the COVID-19 pandemic.

Indexed as

anxietyBSI-18depressionmeasurement invariancepopulation normspsychological distresspsychometric propertiessomatization

Identifiers

PMID42656302
PMCPMC13506695

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