Abstract
Objective:to analyze the relationship between the duration of self-reported night sleep and the cognitive performance of older adults.Method:the sample consisted of 156 older adults registered in Family Health Units (FHUs) in a city of São Paulo, divided into quartiles according to the duration of night sleep. Data collection was performed using a characterization questionnaire, Addenbrooke’s Cognitive Exam – Revised (ACE-R) and Pittsburgh Sleep Quality Index (PSQI). Descriptive, comparative and correlational statistical analyses were performed.Results:the older adults obtained a mean of 61.94 points in ACE-R and 55.1% presented good sleep quality. Comparative analyses showed differences between the groups only in the cognitive domain of verbal fluency (p=0.018). The post-hoc analyses showed that older adults who slept more hours, a mean of 8.85 hours (Q1), had lower scores when compared to those who slept a mean of 6.11 hours (Q3) (p=0.004) and of 4.52 hours (Q4) (p=0.045). The adjusted model with application of the stepwise method showed a relationship between the independent variables of schooling and sleep duration and the domain verbal fluency.Conclusion:it is concluded that sleep duration is related to the verbal fluency cognitive domain.
Highlights
In the world context, aging has stood out as a phenomenon
Considering sleep, its quality and duration as fundamental aspects for the well-being, balance, good functioning and maintenance of the organism, and the importance described in the literature with influence on cognition, the present study aims to analyze the relationship between duration of self-reported night sleep and the cognitive performance of the community older adults
From the results found in the comparative analyses, multiple linear regression analysis was continued only for verbal fluency, which showed a significant difference between the sleep quartiles and the total Addenbrooke’s Cognitive Exam – Revised (ACE-R) scores that refer to the general objective of this research
Summary
In 2017, the United Nations (UN) reported that the world population was 7.6 billion inhabitants and that, of these, 13% were 60 years old or older. Estimates indicate that this proportion will increase to 21% in 2050 and to 28% in 2100(1). REM sleep is distinguished by the presence of rapid eye movements, being a deep stage related to the difficulty of awakening. In this phase, the electroencephalographic pattern is similar to the state of wakefulness with eyes open and of stage 1 NREM sleep[6]
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