Contributions of the Women's Health Initiative to understanding associations between sleep duration, insomnia symptoms, and sleep-disordered breathing across a range of health outcomes in postmenopausal women

Relationship of psychotropic medication use with physical function among postmenopausal women

To examine cross-sectional and longitudinal relationships of psychotropic medications with physical function after menopause. Analyses involved 4557 Women's Health Initiative Long Life Study (WHI-LLS) participants (mean age at WHI enrollment (1993-1998): 62.8 years). Antidepressant, anxiolytic, and sedative/hypnotic medications were evaluated at WHI enrollment and 3-year follow-up visits. Performance-based physical function [Short Physical Performance Battery (SPPB)] was assessed at the 2012-2013 WHI-LLS visit. Self-reported physical function [RAND-36] was examined at WHI enrollment and the last available follow-up visit-an average of 22 [±2.8] (range: 12-27) years post-enrollment. Multivariable regression models controlled for socio-demographic, lifestyle, and health characteristics. Anxiolytics were not related to physical function. At WHI enrollment, antidepressant use was cross-sectionally related to worse self-reported physical function defined as a continuous (β = -6.27, 95% confidence interval [CI]: -8.48, -4.07) or as a categorical (< 78 vs. ≥ 78) (odds ratio [OR] = 2.10, 95% CI: 1.48, 2.98) outcome. Antidepressant use at WHI enrollment was also associated with worse performance-based physical function (SPPB) [< 10 vs. ≥ 10] (OR = 1.53, 95% CI: 1.05, 2.21) at the 2012-2013 WHI-LLS visit. Compared to non-users, those using sedative/hypnotics at WHI enrollment but not at the 3-year follow-up visit reported a faster decline in physical function between WHI enrollment and follow-up visits. Among postmenopausal women, antidepressant use was cross-sectionally related to worse self-reported physical function, and with worse performance-based physical function after > 20 years of follow-up. Complex relationships found for hypnotic/sedatives were unexpected and necessitate further investigation.

Insomnia and unhealthy alcohol use in a National Sample of Women Veterans 50 years and older enrolled in the Veterans Health Administration

In this study, we examined rates of insomnia and co-occurring unhealthy alcohol use in a national sample of women Veterans age 50 years and older. We further explored associations between sociodemographic measures, insomnia-related clinical characteristics, and unhealthy alcohol use, and analyzed whether women with insomnia were more likely to report unhealthy alcohol use. Study aims were evaluated using national Veterans Health Administration (VA) electronic health records data from VA's Corporate Data Warehouse. Data were extracted for women Veterans ≥50 years old with ≥1 VA primary care visit in each study year (2018: 3/11/18-3/10/19; 2020: 3/11/20-3/10/21; 2022: 3/11/22-3/10/23). Cases of insomnia were identified via diagnostic codes and prescription medications for insomnia. Unhealthy alcohol use was identified via Alcohol Use Disorders Identification Test-Consumption screening scores indicating unhealthy alcohol use. Annual sample sizes ranged from 240,420-302,047. Over the study timeframe, insomnia rates (diagnosis or medication) among women ≥50 years old ranged from 18.11-19.29%; co-occurring insomnia and unhealthy alcohol use rates ranged from 2.02-2.52%. Insomnia and unhealthy alcohol use rates were highest among women aged 50-59 years old. Depression and physical health comorbidities were consistently associated with insomnia; associations by race and ethnicity were less consistent. Compared to women without insomnia, women Veterans with either concurrent or unremitting insomnia were more likely to endorse unhealthy alcohol use. Findings signal a potential need for assessment and preventative efforts aimed at addressing insomnia and unhealthy alcohol use among women Veterans.

Longitudinal association of sleep quality with physical performance measures: SABE cohort study, Brazil

OBJECTIVES

The aim of this study was to investigate the longitudinal association of sleep with physical performance in a representative sample of non-institutionalised older adults residing in the municipality of São Paulo, Brazil.

STUDY DESIGN

Prospective cohort study.

METHODS

The current longitudinal study used data extracted from the Health, Well-being, and Aging Study (Estudo Saúde Bem-Estar e Envelhecimento [SABE]). The study population consisted of individuals aged ≥60 years who participated in the study in 2010 or 2015. Dependent variables included the Short Physical Performance Battery (SPPB) and gait speed. Independent variables of interest were self-reported sleep difficulty, daytime sleepiness and sleep quality. The longitudinal association between sleep variables and the outcomes was evaluated using Generalised Estimating Equations (GEE) Models adjusted for covariates. All the variables, except age, sex and schooling, were assessed at baseline and follow-up visits (2010 and 2015).

RESULTS

The analyses included 2205 observations from 1559 individuals. The population mean age was 72 years in 2010 and 71 years in 2015, with a higher prevalence of women in both years. Between 2010 and 2015, there was a decline in the SPPB score and gait speed. Daytime sleepiness was negatively associated with the SPPB score [Coef.: -0.38 (95% confidence interval {CI}: -0.56, -0.21)] and gait speed [Coef.: -0.03 (95% CI: -0.05, -0.01)]. Poor sleep quality was negatively associated with the SPPB score [Coef.: -0.29 (95% CI: -0.57, -0.01)] and gait speed [Coef.: -0.03 (95% CI: -0.06, -0.00)].

CONCLUSIONS

Daytime sleepiness and poor sleep quality are associated with compromised physical performance in non-institutionalised older adults, and this association remained consistent over time.

Steroid Hormone Biosynthesis and Dietary Related Metabolites Associated with Excessive Daytime Sleepiness

Background

Excessive daytime sleepiness (EDS) is a complex sleep problem that affects approximately 33% of the United States population. Although EDS usually occurs in conjunction with insufficient sleep, and other sleep and circadian disorders, recent studies have shown unique genetic markers and metabolic pathways underlying EDS. Here, we aimed to further elucidate the biological profile of EDS using large scale single- and pathway-level metabolomics analyses.

Methods

Metabolomics data were available for 877 metabolites in 6,071 individuals from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) and EDS was assessed using the Epworth Sleepiness Scale (ESS) questionnaire. We performed linear regression for each metabolite on continuous ESS, adjusting for demographic, lifestyle, and physiological confounders, and in sex specific groups. Subsequently, gaussian graphical modelling was performed coupled with pathway and enrichment analyses to generate a holistic interactive network of the metabolomic profile of EDS associations.

Findings

We identified seven metabolites belonging to steroids, sphingomyelin, and long chain fatty acids sub-pathways in the primary model associated with EDS, and an additional three metabolites in the male-specific analysis. The identified metabolites particularly played a role in steroid hormone biosynthesis.

Interpretation

Our findings indicate that an EDS metabolomic profile is characterized by endogenous and dietary metabolites within the steroid hormone biosynthesis pathway, with some pathways that differ by sex. Our findings identify potential pathways to target for addressing the causes or consequences of EDS and related sleep disorders.

Funding

Details regarding funding supporting this work and all studies involved are provided in the acknowledgments section.

Sleep effects of psychological therapies for menopausal symptoms in women with hot flashes and night sweats: A systematic review

Sleep disturbance is frequently reported by women during the menopausal transition due to various physiological changes and environmental factors. Insomnia is a critical treatment target for its deleterious effects on daytime functioning and quality of life and increased risk of developing a depressive disorder. Due to medication side effects and patient preferences, there is increased interest in the use of psychological treatments that address the myriad of menopausal symptoms, including cognitive-behavioural therapy, clinical hypnosis and mindfulness-based therapies. The objective of this article is to review the effects of psychological treatments for menopausal symptoms on sleep disturbance in peri-/postmenopausal women. We conducted a systematic review of the literature using PubMed and reference lists from inception until May 2023, including 12 studies that evaluated sleep as a secondary outcome. Most studies found that group and self-help (guided and unguided) cognitive-behavioural therapies and clinical hypnosis for menopausal symptoms have positive effects on sleep among women with significant vasomotor symptoms. There was preliminary support for mindfulness-based stress reduction. Future research including more diverse samples and women with sleep disorders is needed. Evaluating the implementation of psychological therapies in clinics where menopausal women seek care is an important next step.

Short Sleep and Insomnia Are Associated With Accelerated Epigenetic Age

OBJECTIVE

Short sleep and insomnia are each associated with a greater risk of age-related disease, which suggests that insufficient sleep may accelerate biological aging. We examine whether short sleep and insomnia alone or together relates to epigenetic age among older adults.

METHODS

A total of 3795 men (46.3%) and women aged 56 to 100 years from the Health and Retirement Study were included. Insomnia was defined as reporting at least one insomnia symptom (difficulty falling asleep, waking up at night, or waking up too early in the morning) and feeling unrested when waking up most of the time. Those reporting <6 hours of bedtime were categorized as short sleepers. Three second- or third-generation epigenetic age acceleration clocks were derived from the 2016 Health and Retirement Study Venous Blood Study. The linear regression analysis was adjusted for age, sex, race/ethnicity, education, and obesity status.

RESULTS

Insomnia and short sleep were associated with acceleration of GrimAge of 0.49 (95% confidence interval [CI] = 0.03-0.94 years; p = .04) and 1.29 (95% CI = 0.52-2.07 years; p = .002) years, respectively, as well as a faster pace of aging (DunedinPACE; 0.018 [95% CI = 0.004-0.033; p = .02] and 0.022 [95% CI = -0.004 to 0.048; p = .11]). Compared with healthy sleepers, individuals with the combination of short sleep and insomnia had an accelerated GrimAge (0.97 years; 95% CI = 0.07-1.87 years, p = .04) and a greater DunedinPACE (0.032; 95% CI = 0.003-0.060, p = .04).

CONCLUSIONS

Our findings indicate that short sleep, insomnia, and the combination of the two are linked to epigenetic age acceleration, suggesting that these individuals have an older biological age that may contribute to risk of comorbidity and mortality.

Identification of sleep phenotypes in COPD using machine learning-based cluster analysis

BACKGROUND

Disturbed sleep in patients with COPD impact quality of life and predict adverse outcomes.

RESEARCH QUESTION

To identify distinct phenotypic clusters of patients with COPD using objective sleep parameters and evaluate the associations between clusters and all-cause mortality to inform risk stratification.

STUDY DESIGN AND METHODS

A longitudinal observational cohort study using nationwide Veterans Health Administration data of patients with COPD investigated for sleep disorders. Sleep parameters were extracted from polysomnography physician interpretation using a validated natural language processing algorithm. We performed cluster analysis using an unsupervised machine learning algorithm (K-means) and examined the association between clusters and mortality using Cox regression analysis, adjusted for potential confounders, and visualized with Kaplan-Meier estimates.

RESULTS

Among 9992 patients with COPD and a clinically indicated baseline polysomnogram, we identified five distinct clusters based on age, comorbidity burden and sleep parameters. Overall mortality increased from 9.4 % to 42 % and short-term mortality (<5.3 years) ranged from 3.4 % to 24.3 % in Cluster 1 to 5. In Cluster 1 younger age, in 5 high comorbidity burden and in the other three clusters, total sleep time and sleep efficiency had significant associations with mortality.

INTERPRETATION

We identified five distinct clinical clusters and highlighted the significant association between total sleep time and sleep efficiency on mortality. The identified clusters highlight the importance of objective sleep parameters in determining mortality risk and phenotypic characterization in this population.

Sleep Quality, Nutrient Intake, and Social Development Index Predict Metabolic Syndrome in the Tlalpan 2020 Cohort: A Machine Learning and Synthetic Data Study

This study investigated the relationship between Metabolic Syndrome (MetS), sleep disorders, the consumption of some nutrients, and social development factors, focusing on gender differences in an unbalanced dataset from a Mexico City cohort. We used data balancing techniques like SMOTE and ADASYN after employing machine learning models like random forest and RPART to predict MetS. Random forest excelled, achieving significant, balanced accuracy, indicating its robustness in predicting MetS and achieving a balanced accuracy of approximately 87%. Key predictors for men included body mass index and family history of gout, while waist circumference and glucose levels were most significant for women. In relation to diet, sleep quality, and social development, metabolic syndrome in men was associated with high lactose and carbohydrate intake, educational lag, living with a partner without marrying, and lack of durable goods, whereas in women, best predictors in these dimensions include protein, fructose, and cholesterol intake, copper metabolites, snoring, sobbing, drowsiness, sanitary adequacy, and anxiety. These findings underscore the need for personalized approaches in managing MetS and point to a promising direction for future research into the interplay between social factors, sleep disorders, and metabolic health, which mainly depend on nutrient consumption by region.

Long-term exposure to residential transportation noise and mortality: A nationwide cohort study

Studies have indicated that transportation noise is associated with higher cardiovascular mortality, whereas evidence of noise as a risk factor for respiratory and cancer mortality is scarce and inconclusive. Also, knowledge on effects of low-level noise on mortality is very limited. We aimed to investigate associations between road and railway noise and natural-cause and cause-specific mortality in the Danish population. We estimated address-specific road and railway noise at the most (LdenMax) and least (LdenMin) exposed façades for all residential addresses in Denmark from 1990 to 2017 using high-quality exposure models. Using these data, we calculated 10-year time-weighted mean noise exposure for 2.6 million Danes aged >50 years, of whom 600,492 died from natural causes during a mean follow-up of 11.7 years. We analyzed data using Cox proportional hazards models with adjustment for individual and area-level sociodemographic variables and air pollution (PM_2.5 and NO₂). We found that a 10-year mean exposure to road LdenMax and road LdenMin per 10 dB were associated with hazard ratios (95% confidence intervals) of, respectively, 1.09 (1.09; 1.10) and 1.10 (1.10; 1.11) for natural-cause mortality, 1.09 (1.08; 1.10) and 1.09 (1.08; 1.10) for cardiovascular mortality, 1.13 (1.12; 1.14) and 1.17 (1.16; 1.19) for respiratory mortality and 1.03 (1.02; 1.03) and 1.06 (1.05; 1.07) for cancer mortality. For LdenMax, the associations followed linear exposure-response relationships from 35 dB to 60-<65 dB, after which the function levelled off. For LdenMin, exposure-response relationships were linear from 35 dB and up, with some levelling off at high noise levels for natural-cause and cardiovascular mortality. Railway noise did not seem associated with higher mortality in an exposure-response dependent manner. In conclusion, road traffic noise was associated with higher mortality and the increase in risk started well below the current World Health Organization guideline limit for road traffic noise of 53 dB.

Neurologic Disorders in Women and Sleep

Sleep disorders in women remain underrecognized and underdiagnosed mainly because of gender bias in researching and characterizing sleep disorders in women. Symptoms of common sleep disorders are frequently missed in the general female population and are expected to be further overlooked because of overlapping symptoms in women with neurologic disorders. Given the bidirectional relationship with sleep and neurologic disorders, it remains critical to be aware of the presentation and impact of sleep disorders in this patient population. This article reviews available data on sleep disorders in women with neurologic disorders and discusses their distinctive features.

Sociodemographic, Anthropometric, Body Composition, Nutritional, and Biochemical Factors Influenced by Age in a Postmenopausal Population: A Cross-Sectional Study

Postmenopausal aging has become relevant for understanding health during the transition life stages-the aging process being involved in several disturbances of the human condition. The present study aimed to investigate the relationship between postmenopausal aging and sociodemographic, anthropometric, body composition, nutritional, and biochemical (i.e., protein and lipid profiles, phosphorous-calcium metabolism, and antioxidant status) factors in postmenopausal women. This cross-sectional study enrolled 78 healthy postmenopausal women (44-76 years). The anthropometrical data showed no differences by age. Biochemical parameters, especially those involved in the protein and phosphorous-calcium metabolism, were influenced by age in our cohort of postmenopausal women. In contrast, no associations were found when considering lipid and antioxidant parameters. Height, fiber intake, blood glucose, protein profile and phosphorous-calcium metabolism markers seem to be the most affected nutritional-related factors by age in our cohort of healthy postmenopausal women. Primary prevention strategies focused on parameters at risk of disruption with postmenopausal aging are necessary to ensure the quality of life in older ages.

Longitudinal associations between sleep quality and menopausal symptoms among community-dwelling climacteric women: A multi-centered study

STUDY OBJECTIVES

Menopausal symptoms exist in most climacteric women, which can harm the quality and satisfaction of life for them. Moreover, a series of ineluctable negative life changes experienced in middle-age usually make the situation more complicated and stressful. We aimed to determine the trajectories and influential factors of sleep quality and menopausal symptoms and their longitudinal interrelationships among climacteric women.

METHODS

A total of 1875 community-dwelling climacteric women were included in this study. The Pittsburgh Sleep Quality Index (PSQI) and the Menopause Rating Scale (MRS) were adopted to assess sleep quality and menopausal symptoms, respectively. Data were collected 4 times from March 2019 to December 2019, at a 3-month interval.

RESULTS

The Cross-lagged analysis showed that worse sleep quality and more severe menopausal symptoms over time after controlling for specified covariates, and more severe menopausal symptoms were predicted by declined sleep quality. The Generalized estimation equation model showed that education level, marital status, chronic diseases, life events, income, and age were the influential factors of sleep quality, while menopausal symptoms were impacted by marital status and income.

CONCLUSIONS

Increasing negative sleep quality and more severe menopausal symptoms over time contribute to the health burden of climacteric women. Menopausal symptoms could be alleviated by sleep quality improvement, which is influenced by education level, marital status, chronic diseases, life events, age, and economic factors.

Association of sleep duration and insomnia with metabolic syndrome and its components in the Women's Health Initiative

BACKGROUND

Epidemiological evidence suggests that inadequate sleep duration and insomnia may be associated with increased risk of metabolic syndrome (MetS). However, longitudinal data with repeated measures of sleep duration and insomnia and of MetS are limited. We examined the association of sleep duration and insomnia with MetS and its components using longitudinal data from the Women's Health Initiative (WHI).

METHODS

The study included postmenopausal women (ages 50-79 years) diabetes-free at enrollment in the WHI, with baseline data on sleep duration (n = 5,159), insomnia (n = 5,063), MetS, and its components. Repeated measures of self-reported sleep duration and insomnia were available from years 1 or 3 of follow-up and of the MetS components from years 3, 6 and 9. Associations were assessed using logistic regression and generalized estimating equations models, and odds ratios and 95% confidence intervals (CI) adjusted for major risk factors were calculated.

RESULTS

In cross-sectional analysis, baseline sleep duration ≥ 9 h was positively associated with MetS (OR = 1.51; 95%CI 1.12-2.04), while sleep duration of 8- < 9 h was associated with waist circumference > 88 cm and triglycerides ≥ 150 mg/dL (OR = 1.18; 95%CI 1.01-1.40 and OR = 1.23; 95%CI 1.05-1.46, respectively). Insomnia had a borderline positive association with MetS (OR = 1.14; 95%CI 0.99-1.31), and significant positive associations with waist circumference > 88 cm and glucose ≥ 100 mg/dL (OR = 1.18; 95%CI 1.03-1.34 and OR = 1.17; 95%CI 1.02-1.35, respectively). In the longitudinal analysis, change from restful sleep to insomnia over time was associated with increased odds of developing MetS (OR = 1.40; 95%CI 1.01-1.94), and of a triglyceride level ≥ 150 mg/dL (OR = 1.48; 95%CI 1.08-2.03).

CONCLUSIONS

Among postmenopausal women in the WHI, sleep duration and insomnia were associated with current and future risk of MetS and some of its components.

Mediating effects of sleep duration on the association between natural menopause and stroke risk among Chinese women

Background

Sleep disturbance is commonly reported by menopausal women. Stroke risk and poor stroke outcomes in women have usually been attributed to menopause. This study aimed to investigate the mediating effect of sleep duration on relationship between menopause and risk of stroke in natural menopause women.

Materials and methods

A cross-sectional study was performed, and participants were recruited through a multistage, stratified, probability proportional to size sampling method in this research. The stroke risk was measured using the risk assessment form for high-risk stroke population. The average sleep duration was calculated by adding up night sleep and afternoon nap duration. Multivariate regression analysis was conducted to identify the association between menopause, sleep duration, and stroke risk. The direct and indirect effects of menopause on stroke risk were analyzed by using the sleep duration in a mediation framework.

Results

Perimenopause, menopause, average sleep duration, and night sleep duration were significantly associated with stroke risk (P < 0.001), after adjusting for covariates. Perimenopause and menopause were significantly related to average sleep duration (P < 0.001) and night sleep duration (P < 0.001). The average sleep duration (ab = 0.016, 95% CI: 0.003, 0.030; ab = −0.048, 95% CI: −0.070, −0.027) partially mediated the relationship between menopause and stroke risk. And night sleep duration (ab = 0.024, 95% CI: 0.009, 0.040; ab = −0.054, 95% CI: −0.077, −0.033) played a major mediating role, in which night sleep duration of ≤5 h mediated the link between both perimenopause (ab = 0.707, 95% CI: 0.392, 1.021) and menopause (ab = −0.787, 95% CI: −1.096, −0.478) and stroke risk; both night sleep duration of >8–9 h (ab = 0.079, 95% CI: 0.010, 0.193) and >9 h (ab = 0.379, 95% CI: 0.086, 0.712) had mediating effects on perimenopause and stroke risk.

Conclusion

A significant relationship between menopause and stroke risk factors among natural menopausal status was found in this study. The average sleep duration, especially night sleep duration, partially mediated the association between menopause and stroke risk, which is a novel insight to the progression of stroke risk in Women. Suitable prevention methods and interventions for sleep in menopausal women may reduce the risk of stroke.

Cognitive-behavioral, behavioural and mindfulness-based therapies for insomnia in menopause

OBJECTIVES

Insomnia is frequently reported by women during menopause due to physiological changes and environmental factors and is associated with negative daytime sequelae. Due to medication side effects and patient preferences, there is increased interest in the use of psychological treatments for menopausal insomnia. The primary objective of this review is to review the efficacy of cognitive-behavioral, behavioral, and mindfulness-based (CBBMB) therapies in treating insomnia in peri- and post-menopausal women. The secondary objective is to review the effect of CBBMB therapies on relevant secondary outcomes to gain a comprehensive understanding of their impacts.

METHODS

We conducted a narrative review of the literature. A search of PubMed and Google Scholar was conducted between January 2020 and March 2021.

RESULTS

Cognitive-behavioral therapy (CBT) for insomnia is efficacious, with corollary improvements in mood, functional outcomes and potential mechanistic factors (e.g., unhelpful beliefs). Sleep restriction therapy is also efficacious, with somewhat poorer effects on secondary outcomes relative to CBT. Mindfulness meditation and relaxation for insomnia demonstrated promise, but its long-term effects remain unknown.

CONCLUSIONS

Research with more diverse samples and head-to-head comparisons is needed. Dissemination of CBBMBs for insomnia in clinics where menopausal women seek care is an important next step.

Association of sleep disturbance with Parkinson disease: evidence from the Women's Health Initiative

OBJECTIVE

To examine the association of sleep disturbance with Parkinson disease (PD) during 10+ years of follow-up among postmenopausal women, 50 to 79 years of age at baseline.

METHODS

Longitudinal data on 130,502 study-eligible women (mean ± standard deviation baseline age = 63.16 ± 7.20 y) from the Women's Health Initiative Clinical Trials and Women's Health Initiative Observational Study were analyzed. The cohort was followed for 15.88 ± 6.50 years, yielding 2,829 (2.17%) PD cases. Sleep disturbance (habitual sleep duration, insomnia symptoms, obstructive sleep apnea risk factors, sleep aids among those with WHI Insomnia Rating Scale scores (WHIIRS) > 9) was measured at baseline and one follow-up time by September 12, 2005. Cox proportional hazards models evaluated relationships controlling for sociodemographic, lifestyle, and health characteristics.

RESULTS

PD was significantly associated with long sleep duration (≥9 h) versus a benchmark of 7 to 8 hours (hazard ratio [HR] = 1.296, 95% confidence interval [CI]: 1.153-1.456), WHIIRS (>9 vs ≤9) (HR = 1.114, 95% CI:1.023-1.214), and use of sleep aids (yes vs no) (HR = 1.332, 95% CI:1.153-1.539) among those with WHIIRS > 9. Compared with 7 to 8 hours, short (<7 h) sleep duration was unrelated to PD. Finally, the presence of obstructive sleep apnea risk factors was not associated with PD.

CONCLUSIONS

Among postmenopausal women, sleep disturbance was associated with approximately 10% to 30% increased PD risk after ∼16 years follow-up. Prospective cohort studies with objective exposures and adjudicated outcomes that include men and women of diverse backgrounds are required to confirm and extend these findings.

Self-reported sleep duration and timing: A methodological review of event definitions, context, and timeframe of related questions

Study Objectives

Clinical and population health recommendations are derived from studies that include self-report. Differences in question wording and response scales may significantly affect responses. We conducted a methodological review assessing variation in event definition(s), context (i.e., work- versus free-day), and timeframe (e.g., "in the past 4 weeks") of sleep timing/duration questions.

Methods

We queried databases of sleep, medicine, epidemiology, and psychology for survey-based studies and/or publications with sleep duration/timing questions. The text of these questions was thematically analyzed.

Results

We identified 53 surveys with sample sizes ranging from 93 to 1,185,106. For sleep duration, participants reported nocturnal sleep (24/44), sleep in the past 24-hours (14/44), their major sleep episode (3/44), or answered unaided (3/44). For bedtime, participants reported time into bed (19/47), first attempt to sleep (16/40), or fall-asleep time (12/47). For wake-time, participants reported wake-up time (30/43), the time they "get up" (7/43), or their out-of-bed time (6/43). Context guidance appeared in 18/44 major sleep duration, 35/47 bedtime, and 34/43 wake-time questions. Timeframe was provided in 8/44 major sleep episode duration, 16/47 bedtime, and 10/43 wake-time questions. One question queried the method of awakening (e.g., by alarm clock), 18 questions assessed sleep latency, and 12 measured napping.

Conclusion

There is variability in the event definition(s), context, and timeframe of questions relating to sleep. This work informs efforts at data harmonization for meta-analyses, provides options for question wording, and identifies questions for future surveys.

Association of objectively measured sleep with frailty and 5-year mortality in community-dwelling older adults

STUDY OBJECTIVES

To determine whether actigraphy-measured sleep was independently associated with risk of frailty and mortality over a 5-year period among older adults.

METHODS

We used data from Waves 2 (W2) and 3 (W3) (2010-2015) of the National Social Life, Health and Aging Project, a prospective cohort of community-dwelling older adults born between 1920 and 1947. One-third of W2 respondents were randomly selected to participate in a sleep study, of whom N = 727 consented and N = 615 were included in the analytic sample. Participants were instructed to wear a wrist actigraph for 72 h (2.93 ± 0.01 nights). Actigraphic sleep parameters were averaged across nights and included total sleep time, percent sleep, sleep fragmentation index, and wake after sleep onset. Subjective sleep was collected via questionnaire. Frailty was assessed using modified Fried Frailty Index. Vital status was ascertained at the time of the W3 interview. W3 frailty/mortality status was analyzed jointly with a four-level variable: robust, pre-frail, frail, and deceased. Associations were modeled per 10-unit increase.

RESULTS

After controlling for baseline frailty (robust and pre-frail categories), age, sex, education, body mass index, and sleep time preference, a higher sleep fragmentation index was associated with frailty (OR = 1.70, 95% CI: 1.02-2.84) and mortality (OR = 2.12, 95% CI: 1.09-4.09). Greater wake after sleep onset (OR = 1.24, 95% CI: 1.02-1.50) and lower percent sleep (OR = 0.41, 95% CI: 0.17-0.97) were associated with mortality.

CONCLUSIONS

Among community-dwelling older adults, actigraphic sleep is associated with frailty and all-cause mortality over a 5-year period. Further investigation is warranted to elucidate the physiological mechanisms underlying these associations.

Impact of COVID-19 Pandemic on Sleep Quality, Stress Level and Health-Related Quality of Life-A Large Prospective Cohort Study on Adult Danes

The everyday lives of Danish inhabitants have been affected by the COVID-19 pandemic, e.g., by social distancing, which was employed by the government in March 2020 to prevent the spread of SARS-CoV-2. Moreover, the pandemic has entailed economic consequences for many people. This study aims to assess changes in physical and mental health-related quality of life (MCS, PCS), in stress levels, and quality of sleep during the COVID-19 pandemic and to identify factors that impact such changes, using a prospective national cohort study including 26,453 participants from the Danish Blood Donor Study who answered a health questionnaire before the pandemic and during the pandemic. Descriptive statistics, multivariable linear and multinomial logistic regression analyses were applied. A worsening of MCS and quality of sleep was found, and an overall decrease in stress levels was observed. PCS was decreased in men and slightly increased in women. The extent of health changes was mainly affected by changes in job situation, type of job, previous use of anti-depressive medication and the participants’ level of personal stamina. Thus, living under the unusual circumstances that persisted during the COVID-19 pandemic has had a negative impact on the health of the general population. This may, in time, constitute a public health problem.

The association of hypnotics with incident cardiovascular disease and mortality in older women with sleep disturbances

BACKGROUND/OBJECTIVE

Insomnia is common in older women and is associated with higher cardiovascular disease (CVD) risk. Nonbenzodiazepine GABA agonists (Z-drugs) are the most commonly prescribed sleep aids. The study objective was to determine whether the use of Z-drugs is associated with the risk of developing CVD and mortality in older women with sleep disturbances.

PATIENTS/METHODS

The study cohort included post-menopausal women who, at baseline, scored ≥9 with the Women's Health Initiative Insomnia Rating Scale (N = 40,728). Members of the cohort were categorized as users of Z-drugs, users of other prescription hypnotics, or non-users. Outcomes were composite CVD (congestive heart failure, stroke, and fatal/non-fatal myocardial infarction) and mortality. Hazard ratios were estimated from Cox proportional hazards regression models adjusted for demographics, medical history, and sleep measures. To address potential confounding by indication, we also adjusted for propensity to be prescribed hypnotics.

RESULTS

The mean age of our cohort was 63.57 years (SD = 7.23) and mean follow-up time after the initial follow-up visit was 14.0 years (SD = 6.3). Z-drug use was significantly associated with an increased risk of composite CVD (HR = 1.35, 95%CI: 1.02-1.79) and all-cause mortality (HR = 1.38, 95%CI: 1.13-1.69). When groups were divided by heavy and casual use, only heavy users (≥3 times per week) had an increased risk of mortality.

CONCLUSIONS

Z-drugs use was associated with an increased risk for death and CVD in post-menopausal women being treated for sleep disturbances. Additional research is needed to evaluate both frequency and duration of Z-drug use.

Insomnia as a predictor of diagnosed memory problems: 2006-2016 Health and Retirement Study

OBJECTIVE

To evaluate the longitudinal relationship in insomnia symptoms over time with incident memory problems and dementia diagnoses among U.S. adults aged 65 years and older.

METHODS

Secondary analyses were performed on 9518 elderly participants (≥65 years) who completed the 2006 wave of the Health and Retirement Study (HRS) and were followed-up to determine if insomnia symptom scores (2006-2014) were associated with time-to-onset of [1] physician-diagnosed "memory-related disease", "Alzheimer's disease" and/or "dementia, senility or any other serious memory impairment" and [2] diagnosis of dementia based on HRS-specific criteria. Cox proportional hazards models were constructed adjusting for socio-demographic, lifestyle, and health characteristics.

RESULTS

In fully adjusted models, severe insomnia symptoms were associated with increased risk of physician-diagnosed memory problems. Individuals reporting any change (increase or decrease) in insomnia symptoms during the 2006-2010 period were more likely to be diagnosed with dementia based on HRS criteria. Finally, those who experienced an increase in the severity of insomnia symptoms over time exhibited 41-72% increased risks of physician-diagnosed memory problems and 45-58% increased risks of dementia diagnosis based on HRS criteria.

CONCLUSIONS

When severe insomnia symptoms increased over time, physician-diagnosed memory problems and dementia diagnoses also increased among U.S. elderly people over a 10-year follow-up period. More studies are required to confirm these findings using large prospective cohort designs and validated tools.