ArticlePloS one2018
Subtypes of stuttering determined by latent class analysis in two Swiss epidemiological surveys.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Large-scale genome-wide analyses of stuttering.Nature genetics · 2025Pooled it
- Developmental stuttering with common and complex phenotypes.Developmental medicine and child neurology · 2026Article
- Neural subtypes in developmental stuttering.bioRxiv : the preprint server for biology · 2026Article
- Article
- Complexity and risk factor research in mental disorders: better think twice.Frontiers in psychiatry · 2026Article
- Stuttering: Our Current Knowledge, Research Opportunities, and Ways to Address Critical Gaps.Neurobiology of language (Cambridge, Mass.) · 2025Review
- Family History of Stuttering among Kurdish Children Who Stutter Near the Age of Onset.Advanced biomedical research · 2024Article
- Latent Class Analysis Reveals Distinct Groups Based on Executive Function and Socioemotional Traits, Developmental Conditions, and Stuttering: A Population Study.Child psychiatry and human development · 2022Article
- Structural brain network topological alterations in stuttering adults.Brain communications · 2022Article
- Prevalence and Therapy Rates for Stuttering, Cluttering, and Developmental Disorders of Speech and Language: Evaluation of German Health Insurance Data.Frontiers in human neuroscience · 2021Article
- Associations between stuttering, comorbid conditions and executive function in children: a population-based study.BMC psychology · 2020Article
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Authors and funding
14 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsAssociations 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).
methodsData 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.
resultsInitial 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).
conclusionsThe 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.
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