The whole is greater than the sum of its parts: profiles of multiple mental health risk factors using Latent class analysis
Abstract Background The exposure to an accumulation of various risk factors during childhood and adolescence relative to a single risk is associated with poorer mental health. Identification of distinct constellations of risk factors is an essential step towards the development of effective preventi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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BMC
2021-06-01
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| Series: | Child and Adolescent Psychiatry and Mental Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13034-021-00380-8 |
| _version_ | 1819066606846738432 |
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| author | Kristin Göbel Caroline Cohrdes |
| author_facet | Kristin Göbel Caroline Cohrdes |
| author_sort | Kristin Göbel |
| collection | DOAJ |
| description | Abstract Background The exposure to an accumulation of various risk factors during childhood and adolescence relative to a single risk is associated with poorer mental health. Identification of distinct constellations of risk factors is an essential step towards the development of effective prevention strategies of mental disorders. A Latent class analysis (LCA) extracts different combinations of risk factors or subgroups and examines the association between profiles of multiple risk and mental health outcomes. Methods The current study used longitudinal survey data (KiGGS) of 10,853 German children, adolescents and young adults. The LCA included 27 robust risk and protective factors across multiple domains for mental health. Results The LCA identified four subgroups of individuals with different risk profiles: a basic-risk (51.4%), high-risk (23.4%), parental-risk (11.8%) and social-risk class (13.4%). Multiple risk factors of the family domain, in particular family instability were associated with negative mental health outcomes (e.g. mental health problems, depression, ADHD) and predominately comprised late adolescent girls. The social environment represented a more common risk domain for young males. Conclusion The understanding of multiple risk and different risk “profiles” helps to understand and adjust targeted interventions with a focus on vulnerable groups. |
| first_indexed | 2024-12-21T16:05:02Z |
| format | Article |
| id | doaj.art-64d2624af4e4479fa34737ebaef844fd |
| institution | Directory Open Access Journal |
| issn | 1753-2000 |
| language | English |
| last_indexed | 2024-12-21T16:05:02Z |
| publishDate | 2021-06-01 |
| publisher | BMC |
| record_format | Article |
| series | Child and Adolescent Psychiatry and Mental Health |
| spelling | doaj.art-64d2624af4e4479fa34737ebaef844fd2022-12-21T18:57:54ZengBMCChild and Adolescent Psychiatry and Mental Health1753-20002021-06-0115111510.1186/s13034-021-00380-8The whole is greater than the sum of its parts: profiles of multiple mental health risk factors using Latent class analysisKristin Göbel0Caroline Cohrdes1Department of Epidemiology and Health Monitoring, Mental Health Unit, Robert Koch InstituteDepartment of Epidemiology and Health Monitoring, Mental Health Unit, Robert Koch InstituteAbstract Background The exposure to an accumulation of various risk factors during childhood and adolescence relative to a single risk is associated with poorer mental health. Identification of distinct constellations of risk factors is an essential step towards the development of effective prevention strategies of mental disorders. A Latent class analysis (LCA) extracts different combinations of risk factors or subgroups and examines the association between profiles of multiple risk and mental health outcomes. Methods The current study used longitudinal survey data (KiGGS) of 10,853 German children, adolescents and young adults. The LCA included 27 robust risk and protective factors across multiple domains for mental health. Results The LCA identified four subgroups of individuals with different risk profiles: a basic-risk (51.4%), high-risk (23.4%), parental-risk (11.8%) and social-risk class (13.4%). Multiple risk factors of the family domain, in particular family instability were associated with negative mental health outcomes (e.g. mental health problems, depression, ADHD) and predominately comprised late adolescent girls. The social environment represented a more common risk domain for young males. Conclusion The understanding of multiple risk and different risk “profiles” helps to understand and adjust targeted interventions with a focus on vulnerable groups.https://doi.org/10.1186/s13034-021-00380-8Mental healthYouthMultiple risk factorsLatent class analysisDepression |
| spellingShingle | Kristin Göbel Caroline Cohrdes The whole is greater than the sum of its parts: profiles of multiple mental health risk factors using Latent class analysis Child and Adolescent Psychiatry and Mental Health Mental health Youth Multiple risk factors Latent class analysis Depression |
| title | The whole is greater than the sum of its parts: profiles of multiple mental health risk factors using Latent class analysis |
| title_full | The whole is greater than the sum of its parts: profiles of multiple mental health risk factors using Latent class analysis |
| title_fullStr | The whole is greater than the sum of its parts: profiles of multiple mental health risk factors using Latent class analysis |
| title_full_unstemmed | The whole is greater than the sum of its parts: profiles of multiple mental health risk factors using Latent class analysis |
| title_short | The whole is greater than the sum of its parts: profiles of multiple mental health risk factors using Latent class analysis |
| title_sort | whole is greater than the sum of its parts profiles of multiple mental health risk factors using latent class analysis |
| topic | Mental health Youth Multiple risk factors Latent class analysis Depression |
| url | https://doi.org/10.1186/s13034-021-00380-8 |
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