Childhood Onset Fluency Disorder

A speech disorder involving frequent problems with the normal fluency and flow of speech.

 

Cluster Number:
Wiki Number: W040
Diagnosis: Childhood Onset Developmental Dysfluency
US Patients: 10% Preschoolers
World Patients:
Sex Ratio:
Age Onset: Ages 4-6
Brain Area:
Symptoms: Dysfluencies: stuttering, repetition, mistiming, or poor inflection. Time between toddler and pre-school.
Progression: Children may repeat syllables or words as the try to frame sentences correctly. Fluent speech may be delayed.
Causes:
Medications: None listed – this is normal development, but may be delayed.
Therapies: 10% benefit from a speech therapist/speech language pathologist. They learn how to pronounce speech sounds correctly.

Youtube Video: Childhood Onset Fluency Disorder or Stuttering

Amazon or Library Book: Something To Say About Stuttering

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4 CURRENT ARTICLES
FROM PUBMED

The world-wide medical research
reports chosen for each diagnosis 

Clicking each title opens the
PubMed article’s summary-abstract.

  • Stuttering as a spectrum disorder: A hypothesis
    by Shahriar SheikhBahaei on November 29, 2023

    Childhood-onset fluency disorder, commonly referred to as stuttering, affects over 70 million adults worldwide. While stuttering predominantly initiates during childhood and is more prevalent in males, it presents consistent symptoms during conversational speech. Despite these common clinical manifestations, evidence suggests that stuttering, may arise from different etiologies, emphasizing the need for personalized therapy approaches. Current research models often regard the stuttering...

  • Social anxiety disorder in adolescents who stutter: A risk for school refusal
    by Yoshikazu Kikuchi on September 10, 2023

    CONCLUSIONS: When examining adolescents who stutter, checking for comorbid SAD may lead to better support. Moreover, noticing their repetitive negative thinking, nervousness, and trembling during speech may help to resolve SAD.

  • Acoustic analysis in stuttering: a machine-learning study
    by Francesco Asci on July 17, 2023

    CONCLUSION: Acoustic analysis based on artificial intelligence (SVM) represents a reliable tool for the objective and automatic recognition of stuttering and its relationship with physiologic ageing. The accuracy of the automatic classification is high and independent of the speech task. Machine-learning analysis would help clinicians in the objective diagnosis and clinical management of stuttering. The digital collection of audio samples here achieved through smartphones would promote the...

  • Stuttering in Children: Review and Referral Criteria
    by José Alarcão on June 1, 2023

    Stuttering is a speech fluency disorder, in which people know perfectly well the message they want to convey, even though their speech is characterized by changes in rhythm, repetitions, prolongations, pauses and blocks, and may also be associated with states of anxiety or emotional tension. Up to one in every six children, typically between two and five years old, experience a period of transitory speech disfluency, with usual spontaneous recovery before reaching school age, with a prevalence...