Sleep problems in children who stutter: Evidence from population data

Merlo, Sandra; Briley, Patrick M.

doi:10.1016/j.jcomdis.2019.105935

Cited by 12 publications

(9 citation statements)

References 37 publications

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“…The prevalence of comorbid conditions, such as learning disabilities and developmental delay, is higher for CWS relative to CWNS [ 139 , 140 ]. In clinical cohorts, concomitant language, speech, and behavioral disorders (e.g., expressive language, receptive language, articulation, phonology, and ADHD) are commonly reported with stuttering [ 141 , 142 ].…”

Section: Introductionmentioning

confidence: 99%

Associations between stuttering, comorbid conditions and executive function in children: a population-based study

2020

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Background The aim of this study was to investigate the relationship between executive function (EF), stuttering, and comorbidity by examining children who stutter (CWS) and children who do not stutter (CWNS) with and without comorbid conditions. Data from the National Health Interview Survey were used to examine behavioral manifestations of EF, such as inattention and self-regulation, in CWS and CWNS. Methods The sample included 2258 CWS (girls = 638, boys = 1620), and 117,725 CWNS (girls = 57,512; boys = 60,213). EF, and the presence of stuttering and comorbid conditions were based on parent report. Descriptive statistics were used to describe the distribution of stuttering and comorbidity across group and sex. Regression analyses were to determine the effects of stuttering and comorbidity on EF, and the relationship between EF and socioemotional competence. Results Results point to weaker EF in CWS compared to CWNS. Also, having comorbid conditions was also associated with weaker EF. CWS with comorbidity showed the weakest EF compared to CWNS with and without comorbidity, and CWS without comorbidity. Children with stronger EF showed higher socioemotional competence. A majority (60.32%) of CWS had at least one other comorbid condition in addition to stuttering. Boys who stutter were more likely to have comorbid conditions compared to girls who stutter. Conclusion Present findings suggest that comorbidity is a common feature in CWS. Stuttering and comorbid conditions negatively impact EF.

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Section: Introductionmentioning

confidence: 99%

Associations between stuttering, comorbid conditions and executive function in children: a population-based study

2020

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“…As shown in Table 2, AWS reported a shorter sleep duration, a lower sleep efficiency, a higher use of sleep medications (medium effect sizes), and an overall higher score for subjective sleep disturbances (large effect size), while effect sizes were trivial to small for subjective sleep quality, sleep latency, sleep disturbances, and daytime functioning, always when controlling for age and social anxiety. The novelty of the results is that to the best of our knowledge, this is the very first study to show higher sleep disturbances not only among children and adolescents who stutter [42][43][44], but also among adults who stutter.…”

Section: Discussionmentioning

confidence: 99%

“…Such an association was already observable among children with stuttering: Children with stuttering scored high on nightmares, sleep deprivation, and insomnia near the age of onset of stuttering. Along these lines, recent studies reported a significant association between developmental stuttering and sleep problems among children and adolescents [42,43]. Children and adolescents who stutter self-reported significantly higher sleep problems than those with no stuttering [44], and compared to adolescents and young adults with no stuttering, adolescents and young adults who stutter were reported to sleep an average of 20 min less per night.…”

Section: Sleep Patterns Among Individuals With Stutteringmentioning

confidence: 99%

“…The following three hypotheses and two research questions were formulated. First, based on results from children and adolescents with stuttering [42][43][44], we expected that AWS would report more sleep complaints than AWNS. Second, based on the results not related to stuttering [37][38][39][40][41], we expected that poor self-rated sleep would be associated with higher scores for social anxiety.…”

Section: The Present Studymentioning

confidence: 99%

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Sleep Problems, Social Anxiety and Stuttering Severity in Adults Who Do and Adults Who Do Not Stutter

Mohammadi

Maazinezhad

Lorestani

et al. 2022

JCM

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Background: While there is sufficient evidence that children and adolescents who stutter reported more impaired sleep compared to children and adolescents who did not stutter, findings among adults who stutter (AWS) were scarce. Furthermore, stuttering is associated with issues related to verbal communication in a social context. As such, it was conceivable that AWS reported higher scores for social anxiety, compared to adults who do not stutter (AWNS). In the present study, we tested whether AWS reported higher sleep complaints compared to AWNS. We further tested whether scores for social anxiety and stuttering independently predicted sleep disturbances. Methods: A total of 110 AWS (mean age; 28.25 years, 27.30% females) and 162 AWNS (mean age; 29.40 years, 51.20% females) completed a series of self-rating questionnaires covering sociodemographic information, sleep disturbances and social anxiety. Adults with stuttering further completed a questionnaire on stuttering. Results: Compared to AWNS, AWS reported a shorter sleep duration, a lower sleep efficiency, higher scores for drug use in terms of sleep-promoting medications (significant p-values and medium effect sizes), and an overall higher PSQI score (significant p-values and large effect size), when controlling for age and social anxiety. Next, while p-values were always significant for subjective sleep quality, sleep disturbances, and daytime functioning, when controlling for age and social anxiety, their effect sizes were trivial or small. For sleep latency, the p-value was not significant and the effect size was trivial. Among AWS, higher scores for stuttering and older age, but not social anxiety, predicted higher sleep disturbances. The association between higher sleep disturbances and higher stuttering severity was greatest among those AWS with highest scores for social anxiety. Conclusions: When compared to AWNS, AWS self-reported higher sleep disturbances, which were associated with older age, and higher scores for stuttering severity, but not with social anxiety. Adults who stutter might be routinely asked for their sleep quality.

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“…Recent studies reveal that atopic diseases -e.g., allergic rhinosinusitis -are associated with neurodevelopmental disorders, such as stuttering 32 . It was also identified that stuttering children are more likely to have insomnia, difficulties to fall asleep, somnolence, and fatigue throughout the day -symptoms that persist from early childhood to adolescence 33 . Thus, based on the judges' suggestions, two questions were added in category 1, one related to the presence of allergies and the other, sleep problems.…”

Section: Discussionmentioning

confidence: 99%

Developmental Stuttering Screening Instrument: development and content validation

2021

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Purpose: to develop a screening instrument to identify the risk of developmental stuttering in preschoolers. Methods: the procedures were divided into two stages: The first one (theoretical), consisted of the literature review and the construction of the items that make up the instrument; the second stage (content validation), consisted of the analysis of the instrument by a judging committee formed by 10 speech-language-hearing therapists who work in the field of fluency. The data analysis was based on the calculation of the item content validity index (I-CVI) and the total number of answers (T-CVI). Also, an item reliability analysis was conducted with Cronbach’s alpha. Results: the Developmental Stuttering Screening Instrument (DSSI) encompassed 24 items distributed into four key categories. The I-CVI and T-CVI revealed a high agreement between the judges. The Cronbach’s alpha coefficients indicated a high internal consistency between the judges’ answers in 19 of the 24 items. The qualitative analysis pointed to the need for new adjustments. All the analyses contributed to the construction of the second version of the instrument. Conclusion: the proposed instrument showed content-based validity evidence that made it possible, up to the present moment, to adjust it to its construct. It is suggested that the validation process continue, employing new accuracy measures.

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Sleep problems in children who stutter: Evidence from population data

Cited by 12 publications

References 37 publications

Associations between stuttering, comorbid conditions and executive function in children: a population-based study

Associations between stuttering, comorbid conditions and executive function in children: a population-based study

Sleep Problems, Social Anxiety and Stuttering Severity in Adults Who Do and Adults Who Do Not Stutter

Developmental Stuttering Screening Instrument: development and content validation

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