Evidence map›Paper›PMID 37730594›Full record

ArticleBMC public health2023

Mental resources, mental health and sociodemography: a cluster analysis based on a representative population survey in a large German city.

Kristine Khachatryan, Daniëlle Otten, Manfred E Beutel, Sven Speerforck, Steffi G Riedel-Heller, Christine Ulke, Elmar Brähler

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

7 authors.

Kristine KhachatryanDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center, Johannes Gutenberg-University, Untere Zahlbacher Str. 8, 55131, Mainz, Germany. Kristine.w.khachatryan@googlemail.com.ORCID https://orcid.org/0000-0002-4602-322X
Daniëlle OttenDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center, Johannes Gutenberg-University, Untere Zahlbacher Str. 8, 55131, Mainz, Germany.
Manfred E BeutelDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center, Johannes Gutenberg-University, Untere Zahlbacher Str. 8, 55131, Mainz, Germany.
Sven SpeerforckDepartment of Psychiatry and Psychotherapy, Leipzig University Medical Center, Leipzig, Germany.
Steffi G Riedel-HellerInstitute of Social Medicine, Occupational Health and Public Health, Faculty of Medicine, University of Leipzig, Philipp-Rosenthal-Str. 55, Haus W, 04103, Leipzig, Germany.
Christine Ulke *Department of Psychiatry and Psychotherapy, Leipzig University Medical Center, Leipzig, Germany.ORCID https://orcid.org/0000-0002-8277-1671
Elmar Brähler *Department of Psychosomatic Medicine and Psychotherapy, University Medical Center, Johannes Gutenberg-University, Untere Zahlbacher Str. 8, 55131, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental resources such as optimism and social support are important to face different stressors. The aim of this study is to identify groups in the population that are similar in terms of their mental resources.

methodsFor this purpose, a randomly selected general population community sample was used, representative for the city of Leipzig, Germany. In a two-stage process, three clusters were identified using hierarchical cluster analysis and the K-means method and then tested with a multinomial logistic regression analysis for differences in sociodemographic characteristics.

resultsThree clusters were identified which vary in their extent of social support and optimism. In distinguishing between those with higher and lower (medium or poor) mental resources, male gender, unemployment, being born abroad and low household income are risk factors for having fewer mental resources. Internal migrants from West Germany and persons with children at home have a higher chance of being in the type with good mental resources. The groups with medium and lower mental resources differ significantly only by variables living with a partner and employment.

conclusionOur results indicate that good mental resources are associated with good mental health. Special mental health care programs, focusing in particular on the needs of vulnerable groups with poor mental resources within a society, should be implemented.

Indexed as

EmploymentMental HealthChildCluster AnalysisData CollectionGermanyHumansMaleCluster analysesEast GermanyMental healthMental resourcesOptimismSocial support

Identifiers

PMID37730594
PMCPMC10510265

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Registered trials

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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.