scholarly journals Relationships Among Types of Activity Engagement and Sleep Quality Among Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 429-429
Author(s):  
Da Eun Kim ◽  
Tonya Roberts

Abstract There is increasing awareness that lack of activity engagement is associated with poor sleep quality. However, the majority of studies have focused on the effect of a single type of activity engagement on sleep quality. Little is known about the combined effect of multiple types of activity engagement on sleep quality. The aim of this study is to identify relationships among different types of activity engagement and sleep quality among older adults. This study is a secondary data analysis using the Health and Retirement Study data. The participants included 3,357 persons who were age 65 or older and who responded to survey modules on activity engagement and sleep quality in 2016. Before we conducted primary analysis, factor analyses and calculating coefficient omega were conducted to identify factor structure, construct validity and reliability of the activity engagement questionnaire. Then, regression was conducted to examine the relationships among multiple types of activity engagement and sleep quality after adjusting for covariates based on the senescent sleep model. Exploratory and confirmatory factor analysis showed the 14-item questionnaire was comprised of three factors; social, cognitive, and physical activity and the three-factor model showed adequate validity and reliability. In the regression model social (β=0.25, p=0.033) and cognitive (β=0.36, p=0.001) activity engagement were positively related to better sleep quality. Based on these results, future research is needed to identify the mechanisms in which social and cognitive activities influence sleep quality positively and to develop targeted activity interventions for older adults.

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A330-A330
Author(s):  
C C Hays ◽  
E A Almklov ◽  
H J Orff ◽  
C E Wierenga

Abstract Introduction Sleep disturbances have been linked to a variety of health-related consequences, including clinically significant cognitive alterations. Older adults represent a particularly vulnerable population given that advanced age is associated with an increased risk for both sleep disorders, such as insomnia, and cognitive decline. Examining the relationship between resting cerebral blood flow (rCBF) and sleep quality in older adults will better our understanding of the neurophysiologic implications of poor sleep in aging adults. Methods Thirty-three cognitively normal older adults (15 males) between the ages of 65-85 (mean age=73) were administered the Pittsburg Sleep Quality Index (PSQI) and underwent assessment of rCBF using arterial spin labeling (ASL). Those who scored above 5 on the PSQI were defined as poor sleepers (n=17) and those who scored 5 or below were defined as good sleepers (n=16). Groups were then compared on voxel-wise whole-brain rCBF using independent samples t-tests statistically adjusting for age, sex, and the time interval between neuroimaging and sleep assessment. Results Compared to good sleepers, poor sleepers exhibited higher rCBF within bilateral thalamus and the left precuneus and lower rCBF within the left putamen (all ps<.01, uncorrected). Conclusion In this preliminary investigation, poor sleepers exhibited a differential pattern of rCBF in several brain regions, including those involved in consciousness and other important cognitive abilities such as attention. Future research is needed to determine the short- and long-term implications of poor sleep on the aging brain. Support U.S. Department of Veterans Affairs Clinical Sciences Research and Development Service Merit Award 5I01CX000565 (CEW) & VA Rehabilitation Research & Development - Career Development Award - RX001512-01A2 (HJO)


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A72-A72
Author(s):  
E K Donovan ◽  
J M Dzierzewski

Abstract Introduction Sleep is a critically important behavior which influences diverse aspects of health, functioning, and longevity. An increasing literature suggests the importance of sleep regularity, also referred to as sleep inconsistency, sleep variability, or intraindividual variability in sleep. Given there is no brief, subjective measure of sleep regularity, the purpose of this study was to examine the psychometric properties of an in-development, ten-item Sleep Regularity Questionnaire (SRQ). Methods In an online study of sleep and health, participants (n = 3284; Mage (SD)= 42.74(16.72); 47.8% female; 77.1% white) completed the in-development SRQ, as well as other sleep-related measures including the Insomnia Severity Index (ISI) and the Pittsburgh Sleep Quality Index (PSQI). Results An exploratory factor analysis on a random half of the sample revealed a two factor structure, with four items representing “circadian regularity” and two items representing “sleep disturbance regularity.” A confirmatory factor analysis on the other random half of the sample fit the two factor model with good model fit indices (X2 = 50.9, df = 7, p < .001; RMSEA = .06; CFI= .99; NFI = .99; IFI = .99; TLI = .98). The SRQ was negatively associated with poor sleep quality measured via the PSQI (r = -.37, p < .001) and negatively associated with insomnia severity measured via the ISI (r = -.40, p < .001). Conclusion The SRQ appears to be a valid instrument for the assessment of sleep regularity in adults that is related to, but distinct from, other established sleep constructs. Future research will benefit from examining test-retest reliability of the measure as well as assessing the validity of the SRQ as a measure of objective sleep regularity by comparing it to conventional diary, actigraphy, and/or polysomnography methods of sleep assessment. Support This work was supported by the National Institute on Aging of the National Institutes of Health under Award Number K23AG049955 (PI: Dzierzewski). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Da Eun Kim ◽  
Tonya J. Roberts ◽  
Chooza Moon

Abstract 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.


2021 ◽  
Author(s):  
Yvonne Kutzer ◽  
Lisa Whitehead ◽  
Eimear Quigley ◽  
Shih Ching Fu ◽  
Mandy Stanley

Abstract Objectives: Individuals who complain of insomnia may not always have objectively measured poor sleep, and vice versa, a phenomenon which is referred to as uncoupled sleepers. This study assessed the prevalence of uncoupled sleepers and levels of dysfunctional sleep beliefs in a sample of older adults in Western Australia.Method: 80 adults aged 60-80 years (71 females, 89%) completed a questionnaire, sleep diary and actigraphy measurements. Sleep related dysfunctional beliefs and self-rated sleep quality were assessed using the Dysfunctional Beliefs and Attitudes about Sleep scale (DBAS-16). Objective sleep quality was measured using an ActigraphTM model wGT3X-BT activity monitor and subjective sleep quality was assessed using a modified version of the Consensus Sleep Diary.Results: 52 of 80 participants (65%) were uncoupled sleepers. Individuals who complained of insomnia in the absence of objectively measured poor sleep showed worse self-reported sleep outcomes and higher dysfunctional beliefs, even though on actigraphy measurements there were no significant differences. Discussion: Future research should examine subjective and objective sleep parameters in older individuals. Interindividual differences in the relationship between perceived and measured sleep quality could present a target for potential therapeutic intervention.Trial Registration: Australian New Zealand Clinical Trials Registry (ANZCTR), ACTRN 12619001509156; http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378451


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 915-915
Author(s):  
Desiree Bygrave ◽  
Regina Wright

Abstract Poor sleep is common among older adults, and associated with hippocampal atrophy -- a strong predictor of memory decrements. Underlying this association are psychosocial risk factors, such as generalized anxiety, that may further exacerbate poor sleep and brain pathology. Given that poor sleep and generalized anxiety are often comorbid, there is a critical need to establish whether generalized anxiety is related to hippocampal volume among poor sleepers. To address this gap, this cross-sectional study examined the relationship between generalized anxiety (GAD-7), and total hippocampal volume, and whether it varied as a function of sleep quality (PSQI Total < 5 good sleepers; PSQI Total ≥ 5 poor sleepers). Data were analyzed from 165 older adults (mean age = 68.48y, 33% male, 41% African American), free of major disease. Linear regression analysis, adjusting for sex, race, education and depression, showed a statistically significant Generalized Anxiety x Sleep interaction for hippocampal volume (p=.02). Further probing of this interaction revealed that among poor sleepers, greater generalized anxiety was associated with lesser hippocampal volume (p=.01). Findings suggest generalized anxiety may influence hippocampal volume in the context of poor sleep among older adults. As poor sleep is associated with age-related neurodegeneration, our findings suggest that improvements in sleep quality may reduce the impact of generalized anxiety on hippocampal volume in older adulthood. Future research should examine whether generalized anxiety mediates relations of sleep quality to specific memory outcomes.


2017 ◽  
Vol 158 (2) ◽  
pp. 249-256 ◽  
Author(s):  
Daniel C. Sukato ◽  
Jason M. Abramowitz ◽  
Marina Boruk ◽  
Nira A. Goldstein ◽  
Richard M. Rosenfeld

Objective Up to 75% of patients with chronic rhinosinusitis (CRS) suffer with poor sleep quality and reduced quality of life. Endoscopic sinus surgery has demonstrated encouraging results in improving sleep function. The aim of this systematic review is to assess the change in sleep quality after surgery for CRS. Data Sources PubMed, Web of Science, EMBASE. Review Methods An electronic search was conducted with the keywords “sinusitis” or “rhinosinusitis” and “sleep.” Studies were included only when adults underwent endoscopic sinus surgery and were evaluated pre- and postoperatively by the Epworth Sleepiness Scale (ESS), the Pittsburgh Sleep Quality Index (PSQI), the Apnea-Hypopnea Index (AHI), the sleep domain of Sino-Nasal Outcome Test–22, or the sleep domain of Rhinosinusitis Disability Index. Results The database search yielded 1939 studies, of which 7 remained after dual-investigator screening. The standardized mean differences (95% CI) for the ESS, PSQI, and AHI were −0.94 (−1.63 to −0.26), −0.80 (−1.46 to −0.14), and −0.20 (−0.32 to −0.07), indicating large, moderate to large, and small improvements, respectively. All analyses displayed high heterogeneity ( I2 = 95%-99%). Conclusion Sleep quality, as measured by the ESS and PSQI surveys, shows substantial improvement after surgery for CRS, with smaller improvement seen for AHI. Generalizability of our results is limited by high heterogeneity among studies and by broad confidence intervals that cannot exclude small to trivial changes. The findings of this meta-analysis provide insight into the effect of CRS-related endoscopic sinus surgery on sleep quality, which should guide future research direction and counseling of patients in the clinical setting.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A58-A59
Author(s):  
Rebecca Burdayron ◽  
Marie-Helene Pennestri ◽  
Elizabeth Keys ◽  
Lianne Tomfohr-Madsen ◽  
Gerald Giesbrecht

Abstract Introduction Poor sleep quality is common during pregnancy and can increase the risk of adverse obstetric and fetal outcomes. Existing research on the association between prenatal sleep and infant sleep is scarce and has focused on other aspects of prenatal sleep such as sleep duration, chronotype, and insomnia symptoms. To our knowledge, no studies have examined the association between prenatal sleep quality and infant sleep outcomes. Thus, this study aimed to investigate whether maternal sleep quality during pregnancy was prospectively associated with infant sleep dimensions, independent of relevant covariates. Methods Participants were a subset of 272 mother-infant dyads enrolled in an ongoing cohort study. Maternal prenatal sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) in early to mid- (M gestational age = 15.12 ± 3.56 weeks) and late- (M gestational age = 32.44 ± 0.99 weeks) pregnancy. Mothers completed the Brief Infant Sleep Questionnaire (BISQ) at 3, 6, and 12 months postpartum. The following infant sleep parameters were assessed: sleep duration (day, night, 24-hour), number of night awakenings, and wake after sleep onset. Prenatal depressive symptoms were assessed with the Edinburgh Postnatal Depression Scale (EPDS) at both pregnancy time points. Other covariates included maternal age at enrollment, infant age, parity, and co-sleeping status. Results Generalized estimating equations (GEE) models revealed that poorer maternal sleep quality during early-to-mid pregnancy did not significantly predict infant sleep parameters after adjustment for covariates (p > .05). However, in late pregnancy, poorer maternal sleep quality significantly predicted shorter 24-hour sleep duration and longer wake after sleep onset, but not daytime sleep duration, nighttime sleep duration, and number of night awakenings (p < .05). Conclusion Study findings advance our understanding of the prospective link between maternal prenatal sleep quality and infant sleep. Results indicate that maternal sleep quality during late gestation may play a role in the development of infant sleep patterns. These findings have important implications for intervention efforts targeting maternal sleep quality during pregnancy. Future research should use objective measures of sleep, such as actigraphy, to better elucidate the effects of prenatal sleep quality on infant sleep outcomes. Support (if any) The Canadian Institutes of Health Research (CIHR)


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A325-A325
Author(s):  
R A Lorenz ◽  
S L Auerbach ◽  
C Li ◽  
Y Chang

Abstract Introduction Sleep health, a construct introduced to characterize the multidimensional attributes of sleep, has been explored in a variety of populations; however has not been adequately examined for middle-aged and older adults. As attributes of sleep may change with age, the dimensional structure of sleep health may differ in this population. This study aimed to validate a composite measure of sleep health among middle-aged and older adults using data from the Health and Retirement Survey (HRS). Methods Data from the 2014 Core survey of the HRS was used to create a composite measure of Sleep Health including sleep efficiency, duration, timing, satisfaction, and alertness. We standardized and averaged the original variables before transforming to T scores. Sleep Health T scores (ranging 0-100, higher scores indicating better sleep health) were examined using exploratory and confirmatory factor analysis (EFA; CFA). Results Our sample included 6,095 adults with mean age of 68 years (SD=10.1; range 50-99 years). The majority were female (59.7%), white (77%), with high school education (53.9%). Sleep Health T scores ranged from 27-61 (mean=50; SD=6.7). EFA identified one factor. Timing was removed due to low factor loading (<0.4). The revised four-dimension composite Sleep Health measure had acceptable reliability (Cronbach’s alpha 0.6). CFA showed a well-adjusted model (REMSA=0.097; NFI=0.964; RMR=0.035; GFI=0.990; AGFI=0.951). Conclusion These results suggest that the composite measure was valid for assessing sleep health among middle-aged and older adults. Limitations include the use of secondary data, as sleep health dimensions were based on variables not created specifically for our research question. Future research should further examine the role of sleep timing in overall sleep health among middle-aged and older adults. Support This study was supported by the University at Buffalo Clinical and Translational Science Institute (CTSI) funded by the National Institutes of Health (Lorenz, PI).


2021 ◽  
Author(s):  
Yvonne Kutzer ◽  
Lisa Whitehead ◽  
Eimear Quigley ◽  
Shih Ching Fu ◽  
Mandy Stanley

BACKGROUND The current Covid-19 pandemic has brought about a marked interest in sleep health, as well as an increased demand for telehealth services, such as online Cognitive Behavioral Therapy for insomnia (CBT-I). Older adults in particular report a high rate of sleep problems. Recent studies have suggested that dysfunctional sleep beliefs could contribute to the high rates of self-reported insomnia in this age group. In addition, older adults have an increased rate of uncoupled sleep, e.g. displaying an insomnia complaint in the absence of objectively measured poor sleep. It is essential to determine the prevalence of coupled and uncoupled sleep in older adults and to examine the efficacy of online CBT-I to improve sleep outcomes. OBJECTIVE This study aims to assess objective and subjective sleep quality and dysfunctional sleep beliefs in a sample of community-dwelling older adults aged 60-80 years with and without uncoupled sleep in Western Australia following digitally delivered CBT-I. METHODS Objective sleep was measured using wrist actigraphy, and subjective sleep quality via sleep diaries and the Pittsburgh Sleep Quality Index (PSQI). Dysfunctional sleep beliefs were assessed by the Dysfunctional Beliefs and Attitudes about Sleep scale (DBAS-16) prior to and following a four-week online CBT-I programme. Linear mixed model and generalised linear mixed model analyses were conducted to examine objective and subjective sleep onset latency, total sleep time, wake after sleep onset and number of awakenings as well as PSQI and DBAS16 scores, respectively. RESULTS 62 participants (55 females; 88.7%) completed the study. CBT-I effectively reduced dysfunctional sleep beliefs and PSQI scores across all sleep classifications, even in good sleepers without a sleep complaint. Objective and self-reported changes in sleep parameters were mainly demonstrated in complaining poor sleepers. Complaining good sleepers reported a decrease in the number of subjective sleep awakenings only. CONCLUSIONS Online CBT-I was effective in improving the sleep outcomes of individuals who had both subjective and objective poor sleep. However, as the online CBT-I reduced dysfunctional sleep beliefs in all sleep groups, further examination of dysfunctional sleep beliefs and whether they mediate the outcomes of digital CBT-I in older adults will need to be conducted. CLINICALTRIAL Australian New Zealand Clinical Trials Registry (ANZCTR), ACTRN 12619001509156; http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378451 INTERNATIONAL REGISTERED REPORT RR2-32705


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