Mental resources, mental health and sociodemography: a cluster analysis based on a representative population survey in a large German city
Abstract Background Mental 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. Methods For this purpose, a randomly selected general population comm...
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| Format: | Article |
| Language: | English |
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BMC
2023-09-01
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| Series: | BMC Public Health |
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| Online Access: | https://doi.org/10.1186/s12889-023-16714-4 |
| _version_ | 1797555897401081856 |
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| author | Kristine Khachatryan Daniëlle Otten Manfred E. Beutel Sven Speerforck Steffi G. Riedel-Heller Christine Ulke Elmar Brähler |
| author_facet | Kristine Khachatryan Daniëlle Otten Manfred E. Beutel Sven Speerforck Steffi G. Riedel-Heller Christine Ulke Elmar Brähler |
| author_sort | Kristine Khachatryan |
| collection | DOAJ |
| description | Abstract Background Mental 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. Methods For 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. Results Three 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. Conclusion Our 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. |
| first_indexed | 2024-03-10T16:54:02Z |
| format | Article |
| id | doaj.art-7fd9f0d676e0450784625b09f1ce1611 |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-03-10T16:54:02Z |
| publishDate | 2023-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-7fd9f0d676e0450784625b09f1ce16112023-11-20T11:11:39ZengBMCBMC Public Health1471-24582023-09-0123111410.1186/s12889-023-16714-4Mental resources, mental health and sociodemography: a cluster analysis based on a representative population survey in a large German cityKristine Khachatryan0Daniëlle Otten1Manfred E. Beutel2Sven Speerforck3Steffi G. Riedel-Heller4Christine Ulke5Elmar Brähler6Department of Psychosomatic Medicine and Psychotherapy, University Medical Center, Johannes Gutenberg-UniversityDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center, Johannes Gutenberg-UniversityDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center, Johannes Gutenberg-UniversityDepartment of Psychiatry and Psychotherapy, Leipzig University Medical CenterInstitute of Social Medicine, Occupational Health and Public Health, Faculty of Medicine, University of LeipzigDepartment of Psychiatry and Psychotherapy, Leipzig University Medical CenterDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center, Johannes Gutenberg-UniversityAbstract Background Mental 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. Methods For 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. Results Three 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. Conclusion Our 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.https://doi.org/10.1186/s12889-023-16714-4Mental healthMental resourcesOptimismSocial supportCluster analysesEast Germany |
| spellingShingle | Kristine Khachatryan Daniëlle Otten Manfred E. Beutel Sven Speerforck Steffi G. Riedel-Heller Christine Ulke Elmar Brähler Mental resources, mental health and sociodemography: a cluster analysis based on a representative population survey in a large German city BMC Public Health Mental health Mental resources Optimism Social support Cluster analyses East Germany |
| title | Mental resources, mental health and sociodemography: a cluster analysis based on a representative population survey in a large German city |
| title_full | Mental resources, mental health and sociodemography: a cluster analysis based on a representative population survey in a large German city |
| title_fullStr | Mental resources, mental health and sociodemography: a cluster analysis based on a representative population survey in a large German city |
| title_full_unstemmed | Mental resources, mental health and sociodemography: a cluster analysis based on a representative population survey in a large German city |
| title_short | Mental resources, mental health and sociodemography: a cluster analysis based on a representative population survey in a large German city |
| title_sort | mental resources mental health and sociodemography a cluster analysis based on a representative population survey in a large german city |
| topic | Mental health Mental resources Optimism Social support Cluster analyses East Germany |
| url | https://doi.org/10.1186/s12889-023-16714-4 |
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