The Relation of Sleep Characteristics and Cognitive Impairment in Community-Dwelling Middle-aged and Older Adults: Ardakan Cohort Study on Aging (ACSA)

Abstract

Introduction: The rise in the elderly population has brought attention to mild cognitive impairment (MCI). Sleep disorders also affect many older adults, indicating an important area of research for disturbed sleep and faster brain aging. This population-based study aims to investigate the association of several sleep indicators with cognitive performance. Methods: This cross-sectional study focused on adults over 50 in the Ardakan Cohort Study on Aging (ACSA). MCI was evaluated using the Mini-Mental State Examination (MMSE) and the Abbreviated Mental Test score (AMTS) in literate and illiterate individuals. Sleep characteristics were collected using the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale, and Berlin questionnaire. The logistic regression models were used to analyze the data. Results: Overall, 3380 literate and 1558 illiterate individuals were included. In both groups, participants with MCI had a significantly higher PSQI global score (p<0.05). Also, among the literate individuals, a significantly higher risk of having sleep-disordered breathing and poor sleep quality was observed in participants with MCI (p<0.05). In illiterate individuals, higher sleep latency than 15 minutes increased odds of MCI (p<0.05). However, after adjusting for all variables, only literate individuals with a sleep duration of more than eight hours had 66 percent increased odds of having MCI (p=0.033). Conclusion: Sleep duration might be associated with cognitive function in the older Iranian population. Our findings underscore the importance of considering sleep patterns in relation to cognitive health.