Impact of respiratory sarcopenia on attention function in community-dwelling older adults: a preliminary cross-sectional study.
Atsushi Inomoto, Takamichi Yotsumoto, Ryoko Kanzaki and 7 others
In 59 community-dwelling older adults, respiratory sarcopenia was linked to slower sequential number-connecting (TMT-A) but not to the alternating number-and-letter task (TMT-B).
Only six participants had respiratory sarcopenia, so this is a preliminary association, not proof of cause.
Key findings
1Participants with respiratory sarcopenia (n=6) had a median TMT-A time of 72.0 seconds compared with 49.8 seconds for those without (n=53); the difference was significant (p=0.040).
2TMT-B performance time did not differ significantly between the two groups (median 150.5 vs 92.2 seconds; p=0.067).
3In the adjusted regression, respiratory sarcopenia was independently associated with longer TMT-A times (coefficient 21.20 seconds; 95% CI 5.86 to 36.53; adjusted R² = 0.352) but not with TMT-B.
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What it does not show
Only six participants met the respiratory sarcopenia criteria, so the subgroup is very small and the finding is underpowered. The design is cross-sectional, so it cannot show that respiratory sarcopenia causes the slower attention, or that the attention deficit came first. Cognitive assessment was limited to the TMT; no broader neuropsychological battery was used, so the specific cognitive domain affected is unclear. Forty-three of 59 participants were women, which limits generalisability to men. All participants came from a single community health-promotion class in Japan, so the sample is not representative of all older adults.
Declared interests
The authors declared no financial support and no conflicts of interest.
The easy way to misread this
Do not read this as evidence that weak respiratory muscles cause attention problems or that strengthening them will fix slow processing. The design is cross-sectional, the association was seen in only six of 59 participants, and the harder TMT-B task showed no difference at all (p=0.067).
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 →