Findings offer evidence of an association between specific MCC groups and the development of cognitive decline. Nurses should monitor and screen for cognitive decline in the presence of MCC in order to better target self-management interventions.
Background An increasing awareness exists that lack of activity engagement is associated with insomnia symptoms. However, the majority of studies have focused on the association between a single type of activity engagement and insomnia symptoms. Methods This is a cross-sectional study using secondary data from the Health and Retirement Study examining the relationships among different types of activity engagement and insomnia symptoms among older adults. The sample for this study included 3321 older adults who responded to survey modules on activity engagement and insomnia symptoms in 2016. Activity engagement was measured using items for three types of activities (i.e., social, cognitive, and physical) validated in this study. Insomnia symptoms were measured using four items (i.e., difficulty of falling asleep, waking up during the night, waking up too early, and feeling rested). Independent t-tests were conducted to identify the differences in insomnia symptoms according to activity engagement level. Regressions were conducted to examine the associations among three types of activity engagement and insomnia symptoms after adjusting for covariates such as demographics, chronic disease, activities of daily living difficulty, cognitive function, sleep disorder, loneliness, and caregiving. Results The respondents in the high-level social, cognitive, and physical activity engagement groups were found to show fewer insomnia symptoms. Furthermore, higher social (β = − 0.04, p = 0.040) and cognitive (β = − 0.06, p = 0.007) activity engagements were associated with fewer insomnia symptoms even after adjusting for other types of activity engagement and all covariates. Conclusions This study suggests that older adults with higher social and cognitive activity engagements may be likely to have fewer insomnia symptoms. Based on these results, future research is needed to develop multi-component intervention programs that can encourage older adults to engage in these activities.
Disturbed sleep and daytime sleepiness may interfere with possible direct relationships between HF and cognition, yet there is limited research investigating this relationship. We aimed to investigate possible mediating roles of disturbed sleep and daytime sleepiness on the relationship between heart failure (HF) and selected cognitive domains among individuals with and without HF. In a cross-sectional design study, we examined the data of 841 older adults with and without HF from the Aging, Demographics, and Memory Study (ADAMS). We found individuals with HF were likely to have a higher degree of disturbed sleep and daytime sleepiness. Both disturbed sleep and daytime sleepiness were significant predictors of cognition. We found that only daytime sleepiness mediated the relationship between the presence of HF and cognitive domains, such as in attention, memory, and executive function after controlling for covariates. Interventions to improve daytime sleepiness among individuals with HF may also help improving cognition.
Aims: Sleep characteristics such as short sleep duration or sleep-disordered breathing are established predictors of hypertension. However, few studies have used in-lab polysomnography with a longitudinal design to measure how hypertension is associated with different sleep stages over time. The purpose of this study is to examine whether hypertension is associated with the longitudinal course of sleep quality over time. Methods: The current study evaluated data from the Wisconsin Sleep Cohort Study, which consists of 1525 adults in a community-based population of middle-aged to older adults followed for approximately 12–25 years. Sleep characteristics were objectively measured using polysomnography and subjectively assessed using a self-report questionnaire on insomnia complaints. We used linear mixed-effects regression models and cumulative logit models to assess whether the interaction of hypertension and time is associated with objective and subjective sleep. Results: We found people with hypertension exhibited a greater decline in total sleep time in rapid eye movement sleep (%) over time than those without hypertension (P < 0.05). Individuals with hypertension had less decline in % N3 sleep over time than those without hypertension (P < 0.05). Among the subjective insomnia complaints, our findings indicate hypertensive individuals have a higher probability of having higher levels of ‘difficulties in falling asleep’ compared with people without hypertension. Conclusion: These findings suggest that hypertension is associated with modified longitudinal changes of objective and subjective sleep characteristics.
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