Motor-Speech Performance in Very Old Speakers: Associations With Physio-Anatomical and Cognitive-Linguistic Factors.
Sonja Alantie, Tanja Makkonen, Kati Renvall
PMID 41128426WHAT IT FOUND
Very old speakers (80+) showed slower speech rates than younger adults.
Denture wearers and those with higher education performed slower on rapid repetition tasks. Better language skills predicted faster speech. Use these norms to distinguish typical aging from neurological decline in very old clients.
Key findings
01Wearing dentures predicted statistically significantly slower performance in all alternating motion rate tasks and in narrative articulation rate.
02Higher educational level predicted slower performance on alternating motion rate tasks (/pa/, /ta/, /ka/).
03Better phonemic fluency was associated with faster alternating motion rate /pa/ and sequential motion rate /pataka/ production.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
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What it does not show
Hearing status was based on self-report rather than objective screening, which may have affected the reliability of hearing as a predictor. The study did not include non-speech oral function tests, limiting the ability to distinguish between oral motor and speech-specific deficits. The sample was restricted to Finnish speakers, so results may not generalize to other languages or cultural contexts. The study did not compare these very old speakers to a clinical group with neurological disorders, so the specificity of the findings for diagnosis is not established. The age range was narrow (80-100), which may have limited the detection of age effects on some tasks, as significant slowing may occur earlier in life.
Declared interests
The authors declare no conflicts of interest.
The easy way to misread this
Do not assume that slower speech rates in very old clients automatically indicate neurological decline. Factors such as wearing dentures and higher educational level were associated with slower performance on rapid repetition tasks, suggesting that mechanical and behavioral factors significantly influence motor-speech tempo in this population.
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 →