Evidence map›Paper›PMID 41039292›Full record

ArticleBMC psychiatry2025

Assessing evidence of measurement invariance of the Mental Health Inventory (MHI-5) by gender in a German adult sample.

Bianca Savic, Andreas Staudt, Anne Moehring, Diana Guertler, Hans-Juergen Rumpf, Ulrich John, Sophie Baumann

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Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Bianca SavicDepartment of Methods in Community Medicine, Institute for Community Medicine, University Medicine Greifswald, Walther‑Rathenau‑Str. 48, Greifswald, 17475, Germany. bianca.savic@gmail.com.
Andreas StaudtFaculty of Medicine, Technische Universität Dresden, Institute and Policlinic of Occupational and Social Medicine, Fetscherstr. 74, Dresden, 01307, Germany.
Anne MoehringDepartment of Methods in Community Medicine, Institute for Community Medicine, University Medicine Greifswald, Walther‑Rathenau‑Str. 48, Greifswald, 17475, Germany.
Diana GuertlerDepartment of Methods in Community Medicine, Institute for Community Medicine, University Medicine Greifswald, Walther‑Rathenau‑Str. 48, Greifswald, 17475, Germany.
Hans-Juergen RumpfDepartment of Psychiatry and Psychotherapy, University of Lübeck, Ratzeburger Allee 160, Lübeck, 23538, Germany.
Ulrich JohnDepartment of Prevention Research and Social Medicine, Institute for Community Medicine, University Medicine Greifswald, Walther‑Rathenau‑Str. 48, Greifswald, 17475, Germany.
Sophie BaumannDepartment of Methods in Community Medicine, Institute for Community Medicine, University Medicine Greifswald, Walther‑Rathenau‑Str. 48, Greifswald, 17475, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Mental Health Inventory-5 (MHI-5) is an internationally used screening measure for assessing mental health, with evidence supporting validity and reliability in different settings. So far, measurement invariance of the MHI-5, especially regarding gender, has rarely been investigated. Therefore, the aim of this study was to examine measurement invariance of the MHI-5 between men and women in a German population sample to enable valid and generalizable group comparisons.

methodsA total of 2075 participants (52.5% women) aged 18–64 years (M = 32.7, SD = 11.7) were proactively recruited at a municipal registry office in Germany and completed the MHI-5. The underlying factor structure was examined by comparing a one-factor model to a two-factor model. Multiple group confirmatory factor analysis was used to investigate measurement invariance between men and women.

resultsA two-factor structure showed better model fit (χ2(4) = 106.388, Comparative Fit Index, CFI = 0.986) compared to a one-factor structure (χ2(5) = 193.652, CFI = 0.974). Constraining thresholds to equality did not lead to a significant loss of fit (χ2(10) = 9.370; p = .497, ΔCFI = .005). Further constraining loadings also did not reduce model fit (Δχ2(3) = 2.036; p = .565, ΔCFI = .001).

conclusionThe results demonstrated threshold and loading invariance for the MHI-5 between men and women. These findings suggest that the MHI-5 can be used for meaningful comparisons of latent means between men and women in the German population.

trial registrationGerman Clinical Trials Register (trial registration number: DRKS00014274, date of registration: 12 March 2018).

Indexed as

Mental DisordersMental HealthPsychiatric Status Rating ScalesAdolescentAdultFactor Analysis, StatisticalFemaleGermanyHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSex FactorsYoung AdultCFAGenderMeasurement invarianceMental Health Inventory-5MHI-5Psychometrics

Identifiers

PMID41039292
PMCPMC12490041

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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.