| Summary: | Population ageing has increased the prevalence of
prefrailty comorbid with cognitive impairment among older adults. However, few
studies have explored the risk factors common to both prefrailty and cognitive
impairment. This study determined the predictive accuracy of demographic
characteristics, physiological indexes, psychological resilience, sensory
function, and sleep quality on the cognitive function of older adults with
prefrailty. In this cross-sectional study, the physiological
indexes, psychological resilience, sensory function, sleep quality, and cognitive
function of 167 community-dwelling older adults with prefrailty recruited through
purposive sampling were measured. SPSS software was used for data coding and
compilation. Data analysis involved the use of descriptive statistics, the
independent samples t test, the chi-square test, and logistic
regression. Overall, in cognitive function, there was no
difference in gender but were in age, were incapable of text messaging, had a
greater number of chronic diseases, were less able to perform activities of daily
living, had low psychological resilience, and had depressive tendencies. In
addition, Text messaging capability and depression status can all predict the
cognitive impairment state of prefrail older elderly. Physiological indexes, psychological resilience, sensory function, and sleep
quality can affect cognitive function in older adults with prefrailty. Meanwhile,
depressive tendencies and the inability to send text messages on a mobile device
constituted critical predictors of cognitive function in the participants.
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