Sex and age differences in the associations between sleep behaviors and all-cause mortality in older adults: results from the National Health and Nutrition Examination Surveys

Poor sleep quality, dementia status and their association with all-cause mortality among older US adults

BACKGROUND

Evidence points to associations between sleep quality, dementia, and mortality. We examined whether poor sleep quality mediated or moderated the association between dementia and mortality risk among older US adults and vice versa, and whether these associations differed by sex and by race.

METHODS

The study investigated bi-directional associations between sleep quality, dementia and mortality in older US adults using data from the Health and Retirement Study (N = 6,991, mean age = 78.1y, follow-up: 2006-2020, number of deaths = 4,938). It tested interactions and mediating effects, using Cox proportional hazards models and four-way decomposition models.

RESULTS

Poor sleep quality was associated with increased mortality risk, particularly among male and White older adults. However, the association was reversed in the fully adjusted model, with a 7% decrease in risk per tertile. Probable dementia was associated with a two-fold increase in mortality risk, with a stronger association found among White adults. The association was markedly attenuated in the fully adjusted models. Sleep quality-stratified models showed a stronger positive association between dementia and mortality among individuals with better sleep quality. Both mediation and interaction were involved in explaining the total effects under study, though statistically significant total effects were mainly composed of controlled direct effects.

CONCLUSIONS

Poor sleep quality is directly related to mortality risk before lifestyle and health-related factors are adjusted. Dementia is linked to mortality risk, especially in individuals with better sleep quality, males, and White older adults. Future research should explore the underlying mechanisms.

Sleep disorders and mortality: A prospective study in the Canadian longitudinal study on aging

BACKGROUND AND OBJECTIVES

Sleep disorders are commonly linked to various health conditions, although it remains unclear to what degree they are linked with overall mortality. We compared mortality in different self-reported sleep disorders in a large population-based prospective study.

METHODS

In this case-control study within the CLSA cohort, participants completed a questionnaire at baseline (2011-2015) measuring overall sleep satisfaction, daily sleep duration, sleep-onset and sleep-maintenance insomnia, daytime somnolence, REM sleep behavior disorder (RBD), restless leg syndrome (RLS), and obstructive sleep apnea (OSA). The vital status of participants was assessed in July 2019. Baseline sleep problems of participants who died (cases) were compared to those who survived (controls). For each case, five age/sex-matched controls were selected. Binary logistic regression was used to estimate the association between sleep symptoms and mortality, adjusting for age, sex, marital status, province, education, alcohol consumption, smoking, caffeine, and body mass index. In a complementary model, anxiety and depression were also added.

RESULTS

Among 30,097 participants at baseline, 974 deaths were reported in 2019 (60.7 % male, age = 72.3 ± 9.4 years). In the initial analysis, mortality cases reported more baseline sleep-maintenance insomnia (12.1 % vs. 8.0 %, Adjusted OR[95%CI] = 1.62[1.15,2.29]), daytime somnolence (2.4 % vs. 1.1 %, AOR = 2.70[1.34,5.44]), and higher possible RLS (16.4 % vs. 12.4 %, AOR = 1.50[1.09,2.05]). They were also more likely to screen positive for possible OSA (33.8 % vs. 24.2 %, AOR = 1.32[1.07,1.64]); however, this effect was not related to core apnea symptoms. Sleep durations exceeding 10 h/day were also associated with increased mortality (3.4 % vs. 1.9 %, AOR = 1.83[1.04,3.24]). Other sleep symptoms/disorders, such as sleep-onset insomnia (7.3 % vs. 4.3 %, AOR = 1.54 [1.00,2.37]), possible RBD (5.3 % vs. 5.1 %, AOR = 1.02[0.62,1.69]), and overall sleep dissatisfaction (26.5 % vs. 22.6 %, AOR = 1.14[0.93,1.41]) were not different among these groups. After adding anxiety and depression to the adjustment model, all differences attenuated to become statistically non-significant, except for daytime somnolence disorder. When stratified by sex, the association between sleep disorders and mortality was only observed in women, with men showing no association.

DISCUSSION

We confirm a relationship between numerous sleep disorders and mortality. This effect is most evident in women, and appears to be strongly related to co-existing anxiety and depression.

Gender-and age-specific associations of sleep duration and quality with cognitive impairment in community-dwelling older adults in Anhui Province, China

Objective

To examine associations of sleep duration and quality with cognitive impairment in older adults and the moderating role of gender and age in these associations.

Methods

This community-based cross-sectional study included 4,837 participants aged 60 years and above. Cognitive function was assessed using the Chinese version of the Mini-Mental State Examination (MMSE), and the participants were grouped based on the presence of cognitive impairment. The duration and quality of sleep were assessed using the Pittsburgh Sleep Quality Index (PSQI). Multivariate logistic regression models were used to analyze associations of sleep duration and quality with cognitive impairment. The role of age and gender in these associations have also been explored.

Results

The age (mean ± SD) of the participants was 71.13 ± 5.50 years. Of all older adults, 1,811 (37.44%) were detected as cognitive impairment, and 1755 (36.8%) had poor sleep quality. Among those with cognitive impairment, 51.09% were female. The proportion of the participants with cognitive impairment is significantly higher in those with symptoms of depression (49.73%, 273/549) (χ2 = 41.275, p < 0.001) than in those without depressive symptoms. After adjustment for multiple confounding factors and the crucial covariate (depressive symptoms), the odds ratios (OR) (95% confidence interval [CI]) of cognitive impairment (with 7-7.9 h regarded as the reference group) for individuals with a sleep duration of <6, 6-6.9, 8-8.9, and ≥ 9 h were 1.280 (1.053-1.557), 1.425 (1.175-1.728), 1.294 (1.068-1.566), and 1.360 (1.109-1.668), respectively. Subgroup analysis showed a V-shaped association between night sleep duration and cognitive impairment in males (p ≤ 0.05), and the association was stronger for individuals aged 60-80 years. With regard to sleep quality, the fully adjusted OR (95%CI) of cognitive impairment were 1.263 (1.108-1.440). According to scores of subscales in the PSQI, daytime dysfunction was associated with an increased risk of cognitive impairment (OR: 1.128, 95%CI: 1.055-1.207). Subgroup analysis also revealed a statistically significant correlation between poor sleep quality (including daytime dysfunction) and cognitive impairment in different gender and age groups, with the association being stronger in females (OR: 1.287, 95%CI: 1.080-1.534) and those aged 81-97 years (OR: 2.128, 95%CI: 1.152-3.934). For cognitive impairment, the group aged 81-97 years with daytime dysfunction was associated with a higher odds ratio than other age groups.

Conclusion

The present study showed that inadequate or excessive sleep was associated with cognitive impairment, especially in males, who exhibited a V-shaped association. Cognitive impairment was also associated with poor sleep quality as well as daytime dysfunction, with females and individuals aged 81-97 years exhibiting the strongest association.

Insomnia symptoms in adulthood. Prevalence and incidence over 25 years

OBJECTIVE/BACKGROUND

Despite its high prevalence, little information is available about the course of insomnia symptoms over the life span. In this study, we analyzed the self-reported insomnia symptoms of the general population over more than 20 years, covering young up to middle adulthood.

PATIENTS/METHODS

Data from waves 12 to 32 of the Saxon Longitudinal Study (1996-2021), were analyzed. Based on data from the 12th wave, n = 115 adults (48 men (41.7%), 67 women (58.3%), Mage = 23.59, SD = 0.59) completed the G-Score Item #3 in the following 18 waves, thus forming the basis for our analyses. The G-Score Item #3 reads "In the last 12 months, have you had the following complaints? Please indicate how often they occurred - Insomnia". The G-Score Item #3 was dichotomized using a cut-off score of 2, and prevalence and incidence rates were calculated by gender.

RESULTS

The minimum prevalence rate was 23.48% (Mage = 32.11, SD = 0.40), and the maximum was 47.83% (Mage = 48.43, SD = 0.64), indicating an increase in insomnia symptoms with age. In most cases, no evidence was found for gender differences in prevalence rates. The incidence rates were 10.43% for the 1st year of follow-up and 8.7% for the 5th year and 6th year of follow-up, respectively.

CONCLUSIONS

This study provides further evidence for the high prevalence rates of insomnia symptoms in the general population. As this study is the first epidemiological study of insomnia symptoms based on a single-item (screening) instrument, it should be rather seen as an extension than a replication of previous study findings.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Real-world association of self-reported sleep duration and quality with falls among older adults: A representative nationwide study of China

INTRODUCTION

Falls are the leading cause of injury-related morbidity and mortality among older adults (aged ≥65 years) worldwide. However, previous studies examining sleep and falls were confined to community subpopulations, and few studies included both sleep quality and sleep duration when discussing risk factors of falls. This nationwide representative study aimed to examine the links between sleep duration, sleep quality and falls among Chinese community-dwelling older adults.

METHOD

Cross-sectional analyses were conducted with 14,681 older individuals (aged ≥65 years) from 23 Chinese provinces from the Chinese Longitudinal Healthy and Longevity Study (CLHLS) in 2018. Individual variables, including sociodemographic factors, lifestyle, and behavioral factors, were measured using a self-reported questionnaire. Falls were confirmed through face-to-face interviews. Three multivariate logistic regression models were conducted to assess the association between sleep duration and sleep quality with falls.

RESULTS

There were 21.7% (95%CI: 21.0-22.4%) participants who had experienced falls in the past year. After controlling demographic and individual variables, falls in older adults were associated with self-reported sleep quality and self-reported sleep duration. Those who reported poor sleep quality were more likely to fall (OR = 1.149; 95%CI = 1.004,1.316). Participants who reported sleep duration that was too short (<5) (OR = 1.349; 95% CI = 1.191 to 1.528) or too long (>8) (OR = 1.267; 95% CI = 1.151 to 1.394) were both associated with higher fall prevalence.

CONCLUSION

Nearly one-fifth of older adults in this study had experienced falls in the past year. The study found that falls were significantly associated with less sleep duration, longer sleep duration, and overall poor sleep quality among the old Chinese population.

Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Sleep and neighborhood socioeconomic status: a micro longitudinal study of chronic low-back pain and pain-free individuals

Individuals with chronic low back pain (cLBP) frequently report sleep disturbances. Living in a neighborhood characterized by low-socioeconomic status (SES) is associated with a variety of negative health outcomes, including poor sleep. Whether low-neighborhood SES exacerbates sleep disturbances of people with cLBP, relative to pain-free individuals, has not previously been observed. This study compared associations between neighborhood-level SES, pain-status (cLBP vs. pain-free), and daily sleep metrics in 117 adults (cLBP = 82, pain-free = 35). Neighborhood-level SES was gathered from Neighborhood Atlas, which provides a composite measurement of overall neighborhood deprivation (e.g. area deprivation index). Individuals completed home sleep monitoring for 7-consecutive days/nights. Neighborhood SES and pain-status were tested as predictors of actigraphic sleep variables (e.g., sleep efficiency). Analyses revealed neighborhood-level SES and neighborhood-level SES*pain-status interaction significantly impacted objective sleep quality. These findings provide initial support for the negative impact of low neighborhood-level SES and chronic pain on sleep quality.

Resilience buffers the effects of sleep problems on the trajectory of suicidal ideation from adolescence through young adulthood

OBJECTIVES

To examine both the between-person and within-person effects of sleep problems on the trajectory of suicidal ideation from ages 14 to 22 and investigate whether resilience moderates the effects. Age and sex differences were explored in the main and interaction effects of sleep problems and resilience on suicidal ideation.

METHODS

The study sample included 2491 adolescents (1260 males and 1231 females) who participated in a prospective study spanning 2009 through 2016 in northern Taiwan. Sex-stratified multilevel models were used to examine the between-person and within-person effects of sleep problems and the moderating effects of resilience on the trajectory of suicidal ideation in males and females.

RESULTS

Across adolescents, higher levels of sleep problems contributed to an elevated risk of suicidal ideation for both sexes. Within individuals, a higher risk of suicidal ideation was observed when an adolescent's sleep problems exceeded their typical levels. The within-person effects of sleep problems were further determined to vary by age in males, with the effects gradually decreasing throughout late adolescence but increasing again in young adulthood. The buffering effects of resilience were only observed in females. The relationships between the within-person effects of sleep problems and suicidal ideation were only significant in female adolescents with low levels of resilience.

CONCLUSIONS

Our findings extend the research by demonstrating both the between-person and within-person association between sleep problems and suicidal ideation. We further revealed age and sex differences in the within-person effects of sleep problems and the buffering effects of resilience. Prevention and intervention programs that target sleep problems could be tailored based on individuals' age, sex, and levels of resilience to prevent suicidal ideation.

Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease.

RESULTS

Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Predicting Sleep Quality in Osteoporosis Patients Using Electronic Health Records and Heart Rate Variability

Sleep quality (SQ) is one of the most well-known factors in daily work performance. Sleep is usually analyzed using polysomnography (PSG) by attaching electrodes to the bodies of participants, which is likely sleep destructive. As a result, investigating SQ using a more easy-to-use and cost-effective methodology is currently a hot topic. To avoid overfitting concerns, one likely methodology for predicting SQ can be achieved by reducing the number of utilized signals. In this paper, we propose three methodologies based on electronic health records and heart rate variability (HRV). To evaluate the performance of the proposed methods, several experiments have been conducted using the Osteoporotic Fractures in Men (MrOS) sleep dataset. The experimental results reveal that a deep neural network methodology can achieve an accuracy of 0.6 in predicting light, medium, and deep SQ using only ECG signals recorded during PSG. This outcome demonstrates the capability of using HRV features, which are effortlessly measurable by easy-to-use and cost-effective wearable devices, in predicting SQ.

The relationship between sleep duration and all-cause mortality in the older people: an updated and dose-response meta-analysis

Background

Short or long sleep duration is proposed as a potential risk factor for all-cause mortality in the older people, yet the results of published studies are not often reproducible.

Methods

Literature retrieval, study selection and data extraction were completed independently and in duplicate. Only prospective cohort studies were included. Effect-size estimates are expressed as hazard ratio (HR) and 95% confidence interval (CI).

Results

Summary data from 28 articles, involving a total of 95,259 older people, were meta-analyzed. Overall analyses revealed a remarkably significant association between long sleep duration and all-cause mortality (adjusted HR = 1.24, 95% CI: 1.16–1.33, P < .001), whereas only marginal significance was observed for short sleep duration (adjusted HR = 1.04; 95% CI: 1.00–1.09; P = .033). Funnel plots suggested no publication bias for short sleep duration (P = .392). The probability of publication bias was high for long sleep duration (P = .020), yet the trim-and-fill method strengthened its significance in predicting all-cause mortality. In subgroup analyses, the association of long sleep duration with all-cause mortality was statistically significant in both women (HR = 1.48; 95% CI: 1.18–1.86; P = .001) and men (HR = 1.31; 95% CI: 1.10–1.58; P = .003). By contrast, with regard to short sleep duration, statistical significance was observed in men (HR = 1.13; 95% CI: 1.04–1.24; P = .007), but not in women (HR = 1.00; 95% CI: 0.85–1.18; P = .999) (Two-sample Z test P = .099). Besides gender, geographic region, sleep survey method, baseline age and follow-up interval were identified as possible causes of between-study heterogeneity in subgroup analyses. Further dose-response regression analyses revealed that trend estimation was more obvious for long sleep duration (regression coefficient: 0.13; P < .001) than for short sleep duration (regression coefficient: 0.02; P = .046).

Conclusions

Our findings indicate a significantly increased risk of all-cause mortality associated with long sleep duration, especially in women, as well as with short sleep duration in men only.

Insomnia and daytime sleepiness predict 20-year mortality in older male adults: data from a population-based study

Data regarding the possible relationship of insomnia and EDS with mortality are inconclusive. The aim of this study was to investigate the association between these sleep complaints and the risk of long-term (20 years) all-cause mortality in older adults. Between April 2000 and March 2001, 750 subjects aged 65 years and older, who resided in the seventh district of Udine, were recruited. Data on sociodemographic characteristics, past medical history, and pharmacological treatment were collected. Dementia was diagnosed using a comprehensive neurological and neuroradiological assessment. Older adults were interviewed by neuropsychologists trained in sleep disturbances in order to assess the presence of sleep complaints. Vital status was followed over 20 years until March 2020. Older male adults affected by insomnia and EDS were significantly more likely to die over the follow-up period. Indeed, males reporting poor sleep and daytime somnolence had a 60% and 48% higher chance of dying than subjects who were not affected by these sleep complaints, respectively. The HR was attenuated after adjusting for confounding variables among insomniacs, whereas that of somnolent men strengthened. Differently from men, insomnia and EDS did not have any impact on mortality in older women. In conclusion, older male adults affected by insomnia and EDS had a significant increased risk of mortality, which is independent of cancer, depression, dementia, cardiovascular diseases, and sleeping pill use.

Sleep Duration Change and Cognitive Function: A National Cohort Study of Chinese People Older than 45 Years

This study aimed to investigate the relationship between sleep duration and cognitive function in Chinese people older than 45 years, using data from the China Health and Retirement Longitudinal Study. The baseline survey was conducted in 2011 and the second and third wave surveys were conducted in 2013 and 2015, respectively. Multiple linear regression models were used to evaluate all associations. A total of 5811 individuals were included. No significant associations were found between short or long sleep duration at baseline and cognitive function. Compared with no change in sleep duration, a decrease in sleep duration by 2 hours or more and an increase in sleep duration by 2 hours or more were associated with worse global cognitive function, with β (95% confidence intervals [CIs]) of -0.42 (-0.70 to -0.14) and -0.34 (-0.67 to -0.01), respectively. In men, an increase of 2 hours or more in sleep duration was associated with lower global cognitive score (β = -0.64; 95% CI, -1.19 to -0.08), whereas in women, a decrease of 2 hours or more in sleep duration was associated with lower global cognitive score (β = -0.42; 95% CI, -0.78 to -0.06). Our study demonstrated that longitudinal sleep duration change was associated with cognitive function. Our findings indicate the need to consider changes in sleep duration when estimating risk and suggest that targeted strategies should be put forward for routine sleep screening and to maintain regular sleep patterns.

Measurement invariance, validation and normative data of the Jenkins Sleep Scale-4 (JSS-4) in the German general population across the life span

OBJECTIVE

As sleep disorders have become a major concern in public health, there is strong need for a brief and sound measure for sleep problems. The purposes of the study were to 1) evaluate factor structure and measurement invariance, 2) validate the scale based on sociodemographic data and distress, and 3) provide norm values for the general population.

METHODS

In a representative survey of the German population N = 2515 participants (14 to 95 years) filled in the 4-item Jenkins Sleep Scale (JSS-4), sociodemographic questions and the Brief Symptom Inventory-18 (anxiety, depression, somatic symptom load). The JSS-4 was analyzed by principal component analysis, confirmatory and multi-group confirmatory factor analyses. A multiple-indicator-multiple-cause model was tested to investigate the relationship of the JSS-4 to distress and sociodemographic variables.

RESULTS

The one-factor structure of JSS-4 was confirmed. Given the heterogeneity of facets of sleep problems captured in the four items, internal consistency of the JSS-4 was remarkably high. The JSS-4 was strictly invariant across both sexes, and partially strictly invariant across income groups and individuals living with or without a partner. With regard to the full age range, it showed partial scalar invariance.

CONCLUSION

Female sex, higher age, living without a partner, lower education, lower income and increased distress were associated with more sleep problems. Calculated normative data of sleep problems allow comparisons of JSS-4 scores stratified by sex and age.

Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2020 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association's 2020 Impact Goals.

RESULTS

Each of the 26 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, healthcare administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Heightened sleep propensity: a novel and high-risk sleep health phenotype in older adults

OBJECTIVES

To reveal sleep health phenotypes in older adults and examine their associations with time to 5-year all-cause and cardiovascular mortality.

DESIGN

Prospective longitudinal cohorts.

SETTING

The Study of Osteoporotic Fractures and Outcomes of Sleep Disorders in Older Men Study.

PARTICIPANTS

N = 1722 men and women aged ≥65 years matched 1:1 on sociodemographic and clinical measures.

MEASUREMENTS

Self-reported habitual sleep health characteristics (satisfaction, daytime sleepiness, timing, efficiency, and duration) measured at an initial visit and longitudinal follow-up for mortality.

RESULTS

Latent class analysis revealed 3 sleep health phenotypes: (1) heightened sleep propensity (HSP; medium to long duration, high sleepiness, high efficiency/satisfaction; n = 322), (2) average sleep (AS; medium duration, average efficiency, high satisfaction, low sleepiness; n = 1,109), and (3) insomnia with short sleep (ISS; short to medium duration, low efficiency/satisfaction, moderate sleepiness; n = 291). Phenotype predicted time to all-cause mortality (χ2 = 9.4, P = .01), with HSP conferring greater risk than AS (hazard ratio [95% confidence interval] = 1.48 [1.15-1.92]) or ISS (1.52 [1.07-2.17]), despite ISS reporting the poorest mental and physical health. Although sex did not formally moderate the relationship between phenotype and mortality, subgroup analyses indicated that these findings were driven primarily by women. Phenotype did not predict cardiovascular mortality.

CONCLUSIONS

These analyses support the utility of examining multidimensional sleep health profiles by suggesting that the combination of long sleep, high efficiency/satisfaction, and daytime sleepiness-previously identified as independent risk factors-may be components of a single high-risk sleep phenotype, HSP. Further investigation of sex differences and the mechanisms underlying mortality risk associated with HSP is warranted.

Sleep quality prediction in caregivers using physiological signals

Most caregivers of people with dementia (CPWD) experience a high degree of stress due to the demands of providing care, especially when addressing unpredictable behavioral and psychological symptoms of dementia. Such challenging responsibilities make caregivers susceptible to poor sleep quality with detrimental effects on their overall health. Hence, monitoring caregivers' sleep quality can provide important CPWD stress assessment. Most current sleep studies are based on polysomnography, which is expensive and potentially disrupts the caregiving routine. To address these issues, we propose a clinical decision support system to predict sleep quality based on trends of physiological signals in the deep sleep stage. This system utilizes four raw physiological signals using a wearable device (E4 wristband): heart rate variability, electrodermal activity, body movement, and skin temperature. To evaluate the performance of the proposed method, analyses were conducted on a two-week period of sleep monitored on eight CPWD. The best performance is achieved using the random forest classifier with an accuracy of 75% for sleep quality, and 73% for restfulness, respectively. We found that the most important features to detect these measures are sleep efficiency (ratio of amount of time asleep to the amount of time in bed) and skin temperature. The results from our sleep analysis system demonstrate the capability of using wearable sensors to measure sleep quality and restfulness in CPWD.

Sleep, Health and Wellness at Work: A Scoping Review

Many occupational factors may interfere with sleep. Sleep disturbances can, in turn, endanger the health and safety of workers. This rapid review of the literature identifies the main factors that alter the quantity and quality of sleep, indicates the effects these alterations have on the wellbeing of workers and suggests some health promotion measures.