Children's Ability to Identify and Describe Dysphonia: A Multimethod Study.
Carlotta De Biasio, Ciarán Kenny
PMID 41560568WHAT IT FOUND
Children correctly identified dysphonia in other children's voices 70% of the time, but accuracy varied widely.
When asked to describe voices, many confused voice quality with speech content or articulation. Clinicians should not assume children understand the difference between voice and speech disorders.
Key findings
01Participants had a median of 70% correct answers when identifying dysphonic voices, with no significant difference between males and females or correlation with age.
02When describing voices, 83.3% of children used words describing voice quality for dysphonic samples, but many also provided extra information or unrelated content, indicating confusion between voice, speech, and audio content.
03The study did not reach its calculated sample size requirement of 52 participants, resulting in decreased statistical power and potential Type II errors.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
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What it does not show
The study recruited only 30 children, falling short of the calculated sample size of 52, which reduced statistical power. All participants came from a single school in a low-socioeconomic area, limiting generalizability. The stimulus set was small (10 samples), and each was played only once, preventing assessment of test-retest reliability. The labels 'OK' and 'Not-OK' may have influenced the descriptive task, as some children used these exact terms. The study did not include children with known dysphonia, so it reflects how typical children perceive disordered voices, not how dysphonic children perceive their own or others'.
Declared interests
The authors declare no conflicts of interest. The study was approved by the author's Institutional Review Board.
The easy way to misread this
Do not interpret the 70% accuracy rate as evidence that children reliably identify dysphonia. The study was underpowered, accuracy varied widely between individuals, and the lack of a training phase means these results reflect naive perception, not clinical judgment.
Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →