Disfluency Characteristics of 4- and 5-Year-Old Children Who Stutter and Their Relationship to Stuttering Persistence and Recovery

Speech Disfluencies in Bilingual Lebanese Children Who Do and Do Not Stutter

PURPOSE

Prior studies have shown that bilingual children who do not stutter (CWNS) exhibit a high number of disfluencies in both languages, increasing the risk of misidentification by speech-language pathologists as children who stutter (CWS). Conversely, there is a risk of misidentifying CWS with a relatively low incidence of disfluencies as CWNS. This study aims to explore the qualitative and quantitative distinctions in speech disfluency profiles between CWNS and CWS. The assessment covers both the dominant and nondominant language to examine the impact of language dominance on disfluency patterns.

METHOD

A total of 92 Lebanese bilinguals (70 CWNS and 22 CWS) from 4;06 to 7;06 (years;months) were included. Language dominance was determined based on parental assessments. Spontaneous and narrative speech samples were collected for each child in both languages and all stuttering-like disfluencies (SLD) and other disfluencies (OD) were coded.

RESULTS

On average, CWNS showed a significantly lower percentage of total SLD, weighted SLD, SLD subtypes, and iterations compared to CWS. However, the number of disfluencies of CWNS exceeded monolingual clinical standards. Language dominance did not impact SLD and OD percentages, but some differences for SLD subtypes emerged. Binary logistic regression analyses showed that repetitions and dysrhythmic phonations are good predictors for correct CWS or CWNS classification, in contrast to OD. A combination of predictors from both languages led to better classification than using predictors from either language alone.

CONCLUSIONS

The current study shows that speech disfluency percentages in bilingual CWNS typically surpass monolingual standards and can be at par with those of CWS. However, through careful consideration of disfluency characteristics, ideally in both languages, an accurate differential diagnosis of stuttering in bilingual children can be achieved.

A prospective 14-year follow-up study of the persistence and recovery of stuttering

PURPOSE

To document the trajectory of early childhood stuttering longitudinally for 14. years with a consideration on the features of overt and covert stuttering related to recovery status.

METHOD

Thirty-eight participants were observed longitudinally at three different time points: early childhood (Occasion 1), middle childhood (Occasion 2), and late adolescence (Occasion 3). Data collection involved speech samples and reports of stuttering experiences. Recovery on Occasion 3 was estimated through analysis of speech samples, parent and expert judgments, and self- judgement. Two categories of persistence were used: persistent-subjective (no observable stuttering) and persistent-objective (observable stuttering).

RESULTS

The recovery rate was 65.6%. The majority of the participants showed minimal disfluent speech with 88% showing less than 1% syllables stuttered and 97% showing less than 3% syllables stuttered in the collected speech samples. All participants classified as persistent reported covert symptoms of stuttering. No relapses in recovery were observed between Occasion 2 and Occasion 3. Late recovery was only observed for those classified as persistent-subjective on Occasion 2. About 64% of the participants showing observable stuttering (persistent-objective) on Occasion 2 showed no observable stuttering (persistent-subjective) on Occasion 3.

CONCLUSIONS

Children continue to recover from early childhood stuttering as they age.The inclusion of self-reports adds to the understanding of recovery especially concerning the covert stuttering behaviours. The presence of overt symptoms of stuttering in the speech samples of children aged 7 to 13 years seems to be associated with the likelihood of late recovery of stuttering.

Manifestation of speech disfluencies in preschool Cantonese-English speaking bilingual children

Stuttering is characterised by disruptions in speech fluency that normally emerges between the ages of 2 to 5 when children start to formulate sentences. Current stuttering identification in children is largely based on speech disfluency criteria (>3% stuttering-like disfluencies, SLDs) developed for monolingual English-speaking children. Research in a Western language context shows that application of the criteria for monolingual to bilingual children may result in false positive diagnosis of stuttering. The applicability of these criteria to children speaking languages typologically distinct from English remains unclear. This preliminary study focused on bilingual Cantonese-English-speaking children, aiming to explore the manifestations of the speech disfluencies in Cantonese (a syllable-timed language) and English (a stress-timed language) while accounting for language dominance/proficiency and speaking task. Nineteen typically fluent Cantonese-English bilingual preschoolers were recruited for this study and their speech samples were collected across different speaking tasks (i.e. conversation and narration), and languages (i.e. Cantonese and English). The types and frequency of speech disfluencies were compared across both languages and the speaking tasks. The results showed that between 21-68% of children showed higher than 3% SLDs across different languages and speaking tasks. Linear mixed-effect analysis revealed that the prevalence of SLDs is higher in English (less dominant language) than Cantonese (more dominant language), and the prevalence is also higher in narration than conversation. These findings suggest the need for tailored stuttering identification criteria for bilingual children speaking diverse languages and emphasise the importance of considering language dominance/proficiency and speaking task when assessing stuttering in bilingual populations.

Analysis of cumulative risk predictors for persistent stuttering: family perception and amount of speech disruptions

PURPOSE

To investigate two independent variables considered as two possible predictors of cumulative risk for persistent stuttering: family perception of stuttering and amount of speech disruptions.

METHODS

Participants were 452 children, aged 3 to 11:11 years, male and female, divided into 4 groups: group 1 (SCG), composed of 158 children who presented a percentage of stuttered speech disruptions ≥ 3% and family complaint of stuttering; group 2 (SWCG), 42 children who presented percentage of stuttered speech disruptions ≥ 3% and without family complaint of stuttering; group 3 (FCG), 94 children who presented percentage of stuttered speech disruptions ≤ 2. 9% with family complaints of stuttering and group 4 (FWCG), 158 children who presented a percentage of stuttered speech disruptions ≤ 2.9 without family complaints of stuttering.

RESULTS

For the SCG group, there was a significant relationship between family complaints of stuttering and the number of speech disruptions typical of stuttering. In this group, there was a predominance of male children. For the SWCG group, there was no significant relationship between family complaints of stuttering and the number of speech disruptions. For the FCG group, there was no significant relationship between family complaints of stuttering and the number of speech disruptions. For the FWCG group, there was a significant relation between the absence of a family complaint of stuttering and the reduced number of speech disruptions.

CONCLUSION

The percentage of speech disruptions ≥ 3% is a risk indicator for persistent stuttering. The percentage of speech disruptions ≤ 2.9% associated with syllable and sound repetitions can be a risk indicator for persistent stuttering. Family complaints of syllable and sound repetitions may be a risk indicator for persistent stuttering. Family complaints of stuttering alone should not be considered an indicator of persistent stuttering.

Behavioral and cognitive-affective features of stuttering in preschool-age children: Regression and exploratory cluster analyses

PURPOSE

The purpose of this study was to investigate associations among behavioral and cognitive-affective features of stuttering in preschool-age children who stutter, and the extent to which participants may or may not cluster together based on multiple indices of stuttering.

METHODS

Participants were 296 preschool-age children who stutter (mean age 47.9 months). Correlation and regression analyses, as well as k-means cluster analyses were conducted between and among several indices of stuttering: frequency of stuttering- and non-stuttering-like disfluencies (SLDs and NSLDs), ratios of repetitions and prolongations/blocks out of total number of SLDs, associated nonspeech behaviors, duration of stuttering events, KiddyCAT scores (Vanryckeghem & Brutten, 2007), and a TOCS parent-rated scale (Gillam et al., 2009).

RESULTS

For preschool-age children who stutter, most indices of overt stuttering behaviors were intercorrelated (e.g., more SLDs were associated with higher ratio of repetitions). Self-reported KiddyCAT scores (Vanryckeghem & Brutten, 2007) were largely not significantly associated with stuttering. Cluster analyses yielded two participant groupings: a larger group with less prominent stuttering features and a smaller group with more prominent features.

CONCLUSIONS

This study contributes to an increasingly comprehensive and nuanced understanding of the heterogeneous features of stuttering and their development in preschool-age children. Findings show strong intercorrelations between measures of stuttering behaviors, but more tenuous relationships between behaviors and cognitive-affective reactions to stuttering. Exploration of clusters of characteristics within this population revealed potential opportunities for future research.

A Preliminary Study of Speech Rhythm Differences as Markers of Stuttering Persistence in Preschool-Age Children

PURPOSE

The purpose of this study was twofold: (a) to determine whether there are speech rhythm differences between preschool-age children who stutter that were eventually diagnosed as persisting (CWS-Per) or recovered (CWS-Rec) and children who do not stutter (CWNS), using empirical spectral analysis and empirical mode decomposition of the speech amplitude envelope, and (b) to determine whether speech rhythm characteristics close to onset are predictive of later persistence.

METHOD

Fifty children (3-4 years of age) participated in the study. Approximately 2-2.5 years after the experimental testing took place, children were assigned to the following groups: CWS-Per (nine boys, one girl), CWS-Rec (18 boys, two girls), and CWNS (18 boys, two girls). All children produced a narrative based on a text-free storybook. From the audio recordings of these narratives, fluent utterances were selected for each child from which seven envelope-based measures were extracted. Group-based differences on each measure as well as predictive analyses were conducted to identify measures that discriminate CWS-Per versus CWS-Rec.

RESULTS

CWS-Per were found to have a relatively higher degree of power in suprasyllabic oscillations and greater variability in the timing of syllabic rhythms especially for longer utterances. A logistic regression model using two speech rhythm measures was able to discriminate the eventual outcome of recovery versus persistence, with 80% sensitivity and 75% specificity.

CONCLUSION

Findings suggest that envelope-based speech rhythm measures are a promising approach to assess speech rhythm differences in developmental stuttering, and its potential for identification of children at risk of developing persistent stuttering should be investigated further.

The Complexity of Stuttering Behavior in Adults and Adolescents: Relationship to Age, Severity, Mental Health, Impact of Stuttering, and Behavioral Treatment Outcome

PURPOSE

This study investigated the complexity of stuttering behavior. It described and classified the complexity of stuttering behavior in relation to age, behavioral treatment outcomes, stuttering severity, anxiety-related mental health, impact of stuttering, and gender.

METHOD

For this study, a taxonomy was developed-LBDL-C7-which was based on the Lidcombe Behavioral Data Language of stuttering. It was used by five experienced judges to analyze the complexity of stuttering behavior for 84 adults and adolescents before and after speech restructuring treatment. Data were 3,100 stuttering moments, which were analyzed with nominal logistic regression.

RESULTS

The complexity of stuttering behavior appears not to change as a result of treatment, but it does appear to change with advancing age. Complexity of stuttering behavior was found to be independently associated with clinician stuttering severity scores but not with percentage of syllables stuttered or self-reported stuttering severity. Complexity of stuttering behavior was not associated with gender, anxiety, or impact of stuttering.

CONCLUSION

Clinical and research applications of these findings are discussed.

Risk Factors for the Development of Persistent Stuttering: What Every Pediatrician Should Know

Early identification and adequate treatment of children who stutter is important, since it has an impact on speech development. Considering the importance of aiding pediatricians to recognize children at risk for developing persistent stuttering, the aim of the present study was to correlate speech fluency characteristics of children, whose parents reported stuttering behaviors, to the risk factors of persistent stuttering. The participants were 419 children aged 2:0 to 11:11 years, who were divided into two groups: children with stuttering complaints (CSC), composed of children whose parents reported the presence of stuttering behaviors; and children with no stuttering complaint (CNSCs), composed of children with no stuttering behaviors. Risk variables were gathered based on a questionnaire answered by parents involving the following variables: sex, presence of family history of stuttering, whether stuttering behaviors were observed for more than 12 months, whether stuttering behaviors began before 5 years of age, increased effort to speak (i.e., syllable and sound repetitions and fixed articulatory positions), negative family attitude towards the child’s speech, and negative attitude towards the child’s own speech. The diagnosis of stuttering was determined by a formal speech assessment by a pathologist (SLP). The risk analysis indicated that increased effort to speak, negative family attitude towards the child’s speech, and complaints of stuttering for more than 12 months were associated with a higher risk of stuttering in children. Therefore, when pediatricians are faced with complaints about the presence of stuttering behaviors and these factors are present, they should immediately refer the patient to an SLP for specific assessment.

Predicting Persistent Developmental Stuttering Using a Cumulative Risk Approach

PURPOSE

The purpose of this study was to explore how well a cumulative risk approach, based on empirically supported predictive factors, predicts whether a young child who stutters is likely to develop persistent developmental stuttering. In a cumulative risk approach, the number of predictive factors indicating a child is at risk to develop persistent stuttering is evaluated, and a greater number of indicators of risk are hypothesized to confer greater risk of persistent stuttering.

METHOD

We combined extant data on 3- to 5-year-old children who stutter from two longitudinal studies to identify cutoff values for continuous predictive factors (e.g., speech and language skills, age at onset, time since onset, stuttering frequency) and, in combination with binary predictors (e.g., sex, family history of stuttering), used all-subsets regression and receiver operating characteristic curves to compare the predictive validity of different combinations of 10 risk factors. The optimal combination of predictive factors and the odds of a child developing persistent stuttering based on an increasing number of factors were calculated.

RESULTS

Based on 67 children who stutter (i.e., 44 persisting and 23 recovered) with relatively strong speech-language skills, the predictive factor model that yielded the best predictive validity was based on time since onset (≥ 19 months), speech sound skills (≤ 115 standard score), expressive language skills (≤ 106 standard score), and stuttering severity (≥ 17 Stuttering Severity Instrument total score). When the presence of at least two predictive factors was used to confer elevated risk to develop persistent stuttering, the model yielded 93% sensitivity and 65% specificity. As a child presented with a greater number of these four risk factors, the odds for persistent stuttering increased.

CONCLUSIONS

Findings support the use of a cumulative risk approach and the predictive utility of assessing multiple domains when evaluating a child's risk of developing persistent stuttering. Clinical implications and future directions are discussed.

Contemporary Theories of Stuttering Development

The article presents a theoretical analysis of contemporary models of persistent stuttering development in children and adults at the current period of development of science. The accumulated amount of scientific knowledge suggests that stuttering has a neurological basis: it is associated with disorders in the structure and function of the brain. On this basis, there have been emerged models of stuttering that link the cause of a speech disorder with an unstable speech motor system. Theories and models of stuttering based on cognitive and language processing are likely to be useful in that they have explanatory power in relation to the mechanisms that play an important role in the production of key symptoms of stuttering. Considering that stuttering is a complex disorder, the logical result of this was the proposal of multifactorial models of impaired speech fluency. The presented overview may be useful to psychiatrists, clinical psychologists, speech therapists, teachers, and practitioners interacting with children and adults with stuttering and other speech fluency disorders.

Exploring Relationships Among Risk Factors for Persistence in Early Childhood Stuttering

Purpose The purpose of this study is to investigate how epidemiological and clinical factors collectively predict whether a preschooler who is stuttering will persist or recover and to provide guidance on how clinicians can use these factors to evaluate a child's risk for stuttering persistence. Method We collected epidemiological and clinical measures from 52 preschoolers (M = 54.4 months, SD = 6.7 months; 38 boys and 14 girls) diagnosed as stuttering. We then followed these children longitudinally to document whether they eventually recovered or persisted in stuttering. Risk factors found to be significantly associated with stuttering persistence were used to build single and multiple variable predictive statistical models. Finally, we assessed each model's prediction capabilities by recording how accurate a model was in predicting a child's stuttering outcome-persisting or recovered. Results We found that a positive family history of stuttering, poorer performance on a standardized articulation/phonological assessment, higher frequency of stuttering-like disfluencies during spontaneous speech, and lower accuracy on a nonword repetition task were all significantly associated with an increased probability of persistence. The interaction between family history of stuttering and nonword repetition performance was also significant. The full multiple regression model incorporating all these risk factors resulted in the best fitting model with the highest predictive accuracy and lowest error rate. Conclusions For the first time, we show how multiple risk factors collectively predict the probability of stuttering persistence in 3- to 5-year-old preschool children who stutter. Using the full combination of risk factors to assess preschoolers who stutter yielded more accurate predictions of persistence compared to sparser models. A better understanding of the factors that underlie stuttering persistence will yield insight into the underpinnings of chronic stuttering and will help identify etiological targets for novel treatment approaches.