Development and Validation of the State-Trait Inventory of Cognitive Fatigue in Community-Dwelling Older Adults.
Melissa Shuman-Paretsky, Vance Zemon, Frederick W Foley and 1 others
PMID 27576190WHAT IT FOUND
The 32-item State-Trait Inventory of Cognitive Fatigue produced four subscales in both state and trait forms in 175 older adults.
Its cognitive fatigue subscale stayed linked to general fatigue after depression was considered. It may help separate cognitive fatigue from mood, but not prove decline.
Key findings
01The inventory yielded four expected subscales for both state and trait forms.
02The cognitive fatigue subscale was the only subscale that remained significantly associated with general fatigue severity, interference, and total after controlling for depression.
03All subscales demonstrated good reliability, with Cronbach's alpha ranging from .851 to .928 for state subscales and from .848 to .905 for trait subscales.
STILL TO COME
How it was doneWhat they foundWhat it means for OTs
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What it does not show
The sample was community-dwelling and relatively healthy, so many relationships were weak and the results may not apply to people with neurological disease, severe fatigue, or cognitive impairment. Participants had to speak English, walk independently, and avoid significant loss of vision or hearing, which excludes some older adults clinicians see. The study did not follow participants over time, so it did not test whether the inventory predicts future function, decline, or rehabilitation progress. The inventory was administered by study personnel to ensure comprehension, so the results may not match self-administered use. The inventory was significantly related to depression scores, so clinicians should still consider mood when interpreting it.
Declared interests
The authors reported no conflict of interest between any of the authors or any organizations of which the authors are associated with.
The easy way to misread this
Do not treat this as evidence that cognitive fatigue causes decline or that the inventory can guide treatment. It was validated in relatively healthy community-dwelling older adults, and the study did not show that scores predict future outcomes or change patient management.