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Development of salutogenetic factors in mental health - Antonovsky’s sense of coherence and Bandura’s self-efficacy related to Derogatis’ symptom check list (SCL-90-R)

BACKGROUND: The paper analyses how resilience factors and mental health problems interrelate in a 3-year-longitudinal study with 16–19 year olds. METHODS: Resilience was measured with a 13-item short version of the Life-Orientation-Scale by Antonovsky (sense-of-coherence, SOC) and a 10-item self-eff...

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Autores principales: Kröninger-Jungaberle, Henrik, Grevenstein, Dennis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3655857/
https://www.ncbi.nlm.nih.gov/pubmed/23656898
http://dx.doi.org/10.1186/1477-7525-11-80
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author Kröninger-Jungaberle, Henrik
Grevenstein, Dennis
author_facet Kröninger-Jungaberle, Henrik
Grevenstein, Dennis
author_sort Kröninger-Jungaberle, Henrik
collection PubMed
description BACKGROUND: The paper analyses how resilience factors and mental health problems interrelate in a 3-year-longitudinal study with 16–19 year olds. METHODS: Resilience was measured with a 13-item short version of the Life-Orientation-Scale by Antonovsky (sense-of-coherence, SOC) and a 10-item self-efficacy-scale (SWE) by Jerusalem and Schwarzer. Mental health problems were measured with Derogatis Symptom Check list (SCL-90-R). The data set included 155 participants and was analyzed using Structural Equation Modeling (SEM) designed to examine mutual influence in longitudinal data with Mplus software. RESULTS: The descriptive data analysis indicates (1) negative correlations between SOC and SCL-90-R at both age 16 and 19 in all subscales but somatization and likewise (2) between self-efficacy and SCL-90-R. (3) SOC correlates positively with SWE at age 16 and 19. Results of SEM analysis were based on the assumption of two latent variables at two points in time: resilience as measured with mean SOC and mean self-efficacy scores and health problems measured with sub scale scores of SCL-90-R – both at ages 16 and 19. The first SEM model included all possible paths between the two latent variables across time. We found (4) that resilience influences mental health problems cross-sectionally at age 16 and at age 19 but not across time. (5) Both resilience and mental health problems influenced their own development over time. A respecified SEM model included only significant paths. (6) Resilience at age 16 significantly influences health problems at age 16 as well as resilience at age 19. Health problems at age 16 influence those at age 19 and resilience at age 19 influences health problems at age 19. CONCLUSION: (a) SOC and self-efficacy instruments measure similar phenomena. (b) Since an influence of resilience on mental health problems and vice versa over time could not be shown there must be additional factors important to development. (c) SOC and self-efficacy are both very stable at 16 and 19 years. This refutes Antonovsky’s assumption that SOC achieves stability first around the age of 30. SOC and self-efficacy are protective factors but they seem to form in (early) childhood.
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spelling pubmed-36558572013-05-17 Development of salutogenetic factors in mental health - Antonovsky’s sense of coherence and Bandura’s self-efficacy related to Derogatis’ symptom check list (SCL-90-R) Kröninger-Jungaberle, Henrik Grevenstein, Dennis Health Qual Life Outcomes Research BACKGROUND: The paper analyses how resilience factors and mental health problems interrelate in a 3-year-longitudinal study with 16–19 year olds. METHODS: Resilience was measured with a 13-item short version of the Life-Orientation-Scale by Antonovsky (sense-of-coherence, SOC) and a 10-item self-efficacy-scale (SWE) by Jerusalem and Schwarzer. Mental health problems were measured with Derogatis Symptom Check list (SCL-90-R). The data set included 155 participants and was analyzed using Structural Equation Modeling (SEM) designed to examine mutual influence in longitudinal data with Mplus software. RESULTS: The descriptive data analysis indicates (1) negative correlations between SOC and SCL-90-R at both age 16 and 19 in all subscales but somatization and likewise (2) between self-efficacy and SCL-90-R. (3) SOC correlates positively with SWE at age 16 and 19. Results of SEM analysis were based on the assumption of two latent variables at two points in time: resilience as measured with mean SOC and mean self-efficacy scores and health problems measured with sub scale scores of SCL-90-R – both at ages 16 and 19. The first SEM model included all possible paths between the two latent variables across time. We found (4) that resilience influences mental health problems cross-sectionally at age 16 and at age 19 but not across time. (5) Both resilience and mental health problems influenced their own development over time. A respecified SEM model included only significant paths. (6) Resilience at age 16 significantly influences health problems at age 16 as well as resilience at age 19. Health problems at age 16 influence those at age 19 and resilience at age 19 influences health problems at age 19. CONCLUSION: (a) SOC and self-efficacy instruments measure similar phenomena. (b) Since an influence of resilience on mental health problems and vice versa over time could not be shown there must be additional factors important to development. (c) SOC and self-efficacy are both very stable at 16 and 19 years. This refutes Antonovsky’s assumption that SOC achieves stability first around the age of 30. SOC and self-efficacy are protective factors but they seem to form in (early) childhood. BioMed Central 2013-05-08 /pmc/articles/PMC3655857/ /pubmed/23656898 http://dx.doi.org/10.1186/1477-7525-11-80 Text en Copyright © 2013 Kröninger-Jungaberle and Grevenstein; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Kröninger-Jungaberle, Henrik
Grevenstein, Dennis
Development of salutogenetic factors in mental health - Antonovsky’s sense of coherence and Bandura’s self-efficacy related to Derogatis’ symptom check list (SCL-90-R)
title Development of salutogenetic factors in mental health - Antonovsky’s sense of coherence and Bandura’s self-efficacy related to Derogatis’ symptom check list (SCL-90-R)
title_full Development of salutogenetic factors in mental health - Antonovsky’s sense of coherence and Bandura’s self-efficacy related to Derogatis’ symptom check list (SCL-90-R)
title_fullStr Development of salutogenetic factors in mental health - Antonovsky’s sense of coherence and Bandura’s self-efficacy related to Derogatis’ symptom check list (SCL-90-R)
title_full_unstemmed Development of salutogenetic factors in mental health - Antonovsky’s sense of coherence and Bandura’s self-efficacy related to Derogatis’ symptom check list (SCL-90-R)
title_short Development of salutogenetic factors in mental health - Antonovsky’s sense of coherence and Bandura’s self-efficacy related to Derogatis’ symptom check list (SCL-90-R)
title_sort development of salutogenetic factors in mental health - antonovsky’s sense of coherence and bandura’s self-efficacy related to derogatis’ symptom check list (scl-90-r)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3655857/
https://www.ncbi.nlm.nih.gov/pubmed/23656898
http://dx.doi.org/10.1186/1477-7525-11-80
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