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Subtypes of stuttering determined by latent class analysis in two Swiss epidemiological surveys
AIMS: Associations between stuttering in childhood and a broad spectrum of risk factors, associated factors and comorbidities were examined in two large epidemiological studies. Subtypes of stuttering were then identified based on latent class analysis (LCA). METHODS: Data were from two representati...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080750/ https://www.ncbi.nlm.nih.gov/pubmed/30086147 http://dx.doi.org/10.1371/journal.pone.0198450 |
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author | Ajdacic-Gross, Vladeta Bechtiger, Laura Rodgers, Stephanie Müller, Mario Kawohl, Wolfram von Känel, Roland Mutsch, Margot Rössler, Wulf Seifritz, Erich Castelao, Enrique Strippoli, Marie-Pierre F. Vandeleur, Caroline Preisig, Martin Howell, Peter |
author_facet | Ajdacic-Gross, Vladeta Bechtiger, Laura Rodgers, Stephanie Müller, Mario Kawohl, Wolfram von Känel, Roland Mutsch, Margot Rössler, Wulf Seifritz, Erich Castelao, Enrique Strippoli, Marie-Pierre F. Vandeleur, Caroline Preisig, Martin Howell, Peter |
author_sort | Ajdacic-Gross, Vladeta |
collection | PubMed |
description | AIMS: Associations between stuttering in childhood and a broad spectrum of risk factors, associated factors and comorbidities were examined in two large epidemiological studies. Subtypes of stuttering were then identified based on latent class analysis (LCA). METHODS: Data were from two representative Swiss population samples: PsyCoLaus (N = 4,874, age 35–82 years) and the ZInEP Epidemiology Survey (N = 1,500, age 20–41 years). Associations between stuttering and sociodemographic characteristics, familial aggregation, comorbidity and psychosocial risk / associated factors were investigated in both samples. LCAs were conducted on selected items from people in both samples who reported having stuttered in childhood. RESULTS: Initial analyses linked early anxiety disorders, such as separation anxiety disorder and overanxious disorder, to stuttering (PsyCoLaus). ADHD was associated with stuttering in both datasets. In the analyses of risk / associated factors, dysfunctional parental relationships, inter-parental violence and further childhood adversities were mutual predictors of stuttering. Moreover, comorbidities were seen with hay fever, asthma, eczema and psoriasis (PsyCoLaus). Subsequent LCA identified an unspecific group of persons who self-reported that they stuttered and a group defined by associations with psychosocial adversities (ZINEP, PsyCoLaus) and atopic diseases (PsyCoLaus). CONCLUSIONS: The two subtypes of developmental stuttering have different risk / associated factors and comorbidity patterns. Most of the factors are associated with vulnerability mechanisms that occur early in life and that have also been linked with other neurodevelopmental disorders. Both psychosocial and biological factors appear to be involved in the etiopathogenesis of stuttering. |
format | Online Article Text |
id | pubmed-6080750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60807502018-08-16 Subtypes of stuttering determined by latent class analysis in two Swiss epidemiological surveys Ajdacic-Gross, Vladeta Bechtiger, Laura Rodgers, Stephanie Müller, Mario Kawohl, Wolfram von Känel, Roland Mutsch, Margot Rössler, Wulf Seifritz, Erich Castelao, Enrique Strippoli, Marie-Pierre F. Vandeleur, Caroline Preisig, Martin Howell, Peter PLoS One Research Article AIMS: Associations between stuttering in childhood and a broad spectrum of risk factors, associated factors and comorbidities were examined in two large epidemiological studies. Subtypes of stuttering were then identified based on latent class analysis (LCA). METHODS: Data were from two representative Swiss population samples: PsyCoLaus (N = 4,874, age 35–82 years) and the ZInEP Epidemiology Survey (N = 1,500, age 20–41 years). Associations between stuttering and sociodemographic characteristics, familial aggregation, comorbidity and psychosocial risk / associated factors were investigated in both samples. LCAs were conducted on selected items from people in both samples who reported having stuttered in childhood. RESULTS: Initial analyses linked early anxiety disorders, such as separation anxiety disorder and overanxious disorder, to stuttering (PsyCoLaus). ADHD was associated with stuttering in both datasets. In the analyses of risk / associated factors, dysfunctional parental relationships, inter-parental violence and further childhood adversities were mutual predictors of stuttering. Moreover, comorbidities were seen with hay fever, asthma, eczema and psoriasis (PsyCoLaus). Subsequent LCA identified an unspecific group of persons who self-reported that they stuttered and a group defined by associations with psychosocial adversities (ZINEP, PsyCoLaus) and atopic diseases (PsyCoLaus). CONCLUSIONS: The two subtypes of developmental stuttering have different risk / associated factors and comorbidity patterns. Most of the factors are associated with vulnerability mechanisms that occur early in life and that have also been linked with other neurodevelopmental disorders. Both psychosocial and biological factors appear to be involved in the etiopathogenesis of stuttering. Public Library of Science 2018-08-07 /pmc/articles/PMC6080750/ /pubmed/30086147 http://dx.doi.org/10.1371/journal.pone.0198450 Text en © 2018 Ajdacic-Gross et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Ajdacic-Gross, Vladeta Bechtiger, Laura Rodgers, Stephanie Müller, Mario Kawohl, Wolfram von Känel, Roland Mutsch, Margot Rössler, Wulf Seifritz, Erich Castelao, Enrique Strippoli, Marie-Pierre F. Vandeleur, Caroline Preisig, Martin Howell, Peter Subtypes of stuttering determined by latent class analysis in two Swiss epidemiological surveys |
title | Subtypes of stuttering determined by latent class analysis in two Swiss epidemiological surveys |
title_full | Subtypes of stuttering determined by latent class analysis in two Swiss epidemiological surveys |
title_fullStr | Subtypes of stuttering determined by latent class analysis in two Swiss epidemiological surveys |
title_full_unstemmed | Subtypes of stuttering determined by latent class analysis in two Swiss epidemiological surveys |
title_short | Subtypes of stuttering determined by latent class analysis in two Swiss epidemiological surveys |
title_sort | subtypes of stuttering determined by latent class analysis in two swiss epidemiological surveys |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080750/ https://www.ncbi.nlm.nih.gov/pubmed/30086147 http://dx.doi.org/10.1371/journal.pone.0198450 |
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