Has adult sleep duration declined over the last 50+ years?

Increasing Annual Cancer Incidence in Patients Age 20-49 Years: A Real-Data Study

PURPOSE

Data from population-based studies have shown an increased incidence of certain types of neoplasms in patients younger than 50 years (early-onset cancer [EOC]); however, little information is derived from other real-world data sources. In a nonpopulation registry, we analyzed changes in the incidence of several neoplasms in successive generations.

METHODS

This cross-sectional study included all patients with a cancer diagnosis registered in one university hospital in Málaga, Spain, between 1998 and 2021, and 18 neoplasms were analyzed. For each neoplasm, the proportion of patients younger than 50 years and age 50 years and older (late-onset cancer [LOC]) of the total number of patients diagnosed each year was determined. In addition, the age limit was lowered to 45-40 years. Changes in these proportions between each year and the following year were assessed by calculating the annual percentage change (APC), and a final assessment of these changes was performed by determining the average APC (AAPC).

RESULTS

Of the 24,596 patients, 5,466 (22.2%) had EOC, and 19,130 (77.8%) had LOC. The incidence of all tumors increased throughout the study period in both age groups. The AAPC increase was higher in patients with EOC than in those with LOC for the following neoplasms: head and neck (6.1% v 4.6%), colon (11.0% v 8.2%), testicular (16.3% v -13.1%), non-Hodgkin lymphoma (8.4% v 5.9%), rectum (16.1% v 6.8%), kidney (27.8% v 20.1%), and sarcoma (43.4% v 28.6%). This increase was confirmed in patients younger than 45 years and 40 years.

CONCLUSION

Our results are consistent with the data published for most tumor sites analyzed. This global public health problem requires the utmost attention to decrease excess cancer in young patients.

Trends in sleep duration in the U.S. from 2004 to 2018: A decomposition analysis

Average sleep duration in the United States declined in recent years, and the decline may be linked with many biopsychosocial factors. We examine how a set of biopsychosocial factors have differentially contributed to the temporal trends in self-reported sleep duration across racial groups between 2004-2005 and 2017-2018. Using repeated nationally representative cross-sections from the National Health Interview Survey, we decompose the influence of biopsychosocial factors on sleep duration trends into two components. One component corresponds to coefficient changes (i.e., changes in the associations between behaviors or exposures and sleep duration) of key biopsychosocial factors, and the other part accounts for the compositional changes (i.e., changes in the distributions of exposures) in these biopsychosocial factors during the study period. We reveal that changes in the coefficients of some biopsychosocial factors are more important than compositional changes in explaining the decline in sleep duration within each racial/ethnic group. Our findings highlight racial differences manifest across multiple biopsychosocial domains that are shifting in terms of association and composition. Methodologically, we note that the standard regression approach for analyzing temporal trends neglects the role of coefficient changes over time and is thus insufficient for fully capturing how biopsychosocial factors may have influenced the temporal patterns in sleep duration and related health outcomes.

Association between Self-reported Sleep Quality and Single-task Gait in Young Adults: A Study Using Machine Learning

Objective  The objective of the present study was to find biomechanical correlates of single-task gait and self-reported sleep quality in a healthy, young population by replicating a recently published study. Materials and Methods  Young adults ( n  = 123) were recruited and were asked to complete the Pittsburgh Sleep Quality Inventory to assess sleep quality. Gait variables ( n  = 53) were recorded using a wearable inertial measurement sensor system on an indoor track. The data were split into training and test sets and then different machine learning models were applied. A post-hoc analysis of covariance (ANCOVA) was used to find statistically significant differences in gait variables between good and poor sleepers. Results  AdaBoost models reported the highest correlation coefficient (0.77), with Support-Vector classifiers reporting the highest accuracy (62%). The most important features associated with poor sleep quality related to pelvic tilt and gait initiation. This indicates that overall poor sleepers have decreased pelvic tilt angle changes, specifically when initiating gait coming out of turns (first step pelvic tilt angle) and demonstrate difficulty maintaining gait speed. Discussion  The results of the present study indicate that when using traditional gait variables, single-task gait has poor accuracy prediction for subjective sleep quality in young adults. Although the associations in the study are not as strong as those previously reported, they do provide insight into how gait varies in individuals who report poor sleep hygiene. Future studies should use larger samples to determine whether single task-gait may help predict objective measures of sleep quality especially in a repeated measures or longitudinal or intervention framework.

Do sleep disruptions promote social fragmentation?

Sleep changes predate shifts in mood/affect, thought processing, mental and physical health, civic engagement, and contextual circumstances, among other things. Theory predicts that these changes may lead to shifts in political and social beliefs. Do sleep disruptions shape how individuals see the world, the people around them, and themselves in relation to others? In this article, we use daily survey data from the 77 waves (N ≈ 460,000) of the University of California, Los Angeles's 2019-2021 Nationscape Survey-a nationally representative political survey-to examine the effect of an exogenous short-term sleep disruption on measures of political views, polarization, and discriminatory beliefs. Using this data set, we leverage the modest sleep disruption that occurs at the start (and end) of Daylight Saving Time (DST) and employ a regression discontinuity in time design around the precise DST cutoff (which we supplement with event study models). Despite strong theoretical expectations and correlational connection between measures of sleep and many outcomes related to social fragmentation, we find that the DST change has little to no causal effect on citizens' levels of polarization or their discriminatory attitudes. These effects are precise enough to rule out small effects, robust to a host of specification checks, and consistent across potential subgroups of interest. Our work adds to a small but growing body of research on the social and political effects of sleep disruptions.

Short sleep duration is a novel independent risk factor for overweight and obesity

OBJECTIVES

To investigate the association between sleep duration (SD) and body mass index (BMI) in young adults.

METHODS

This cross-sectional study was carried out between January and September 2022, and the participants were 1724 health sciences students aged 16-22 years, from Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia. Measurement of height and weight was carried out and BMI was calculated by the formula=weight in kg/height in m2. Based on SD, subjects were divided into 3 groups: short SD: <7 hours/24 hours; normal SD: 7-9 hours/24 hours; and increased SD: >9 hours/24 hours.

RESULTS

The participants' mean age was 19±3.2 years. Short sleepers had significantly higher BMI (24.2 kg/m2, p<0.001) relative to normal (23.03 kg/m2) and long sleepers (23.2 kg/m2, p=0.041). In addition, short sleep duration (SSD) was associated with overweight (OW) and obesity (OB) (p=0.01). Moreover, multivariate logistic regression analysis found SSD to be an independent risk factor for OW and OB, as it retained its significance (p=0.049) even after adjusting for the major confounding factors of BMI (namely, decreased physical activity and increased food intake). Moreover, it emerged that SSD could lead to 1.47 times higher odds ratio of OW and OB.

CONCLUSION

Participants with a SSD had significantly higher BMI than normal and long sleepers. Short sleep duration is an independent risk factor for increased BMI, which potentially leads to 1.47 times increased odds ratio of having OW and OB.

Polygenic predisposition, sleep duration, and depression: evidence from a prospective population-based cohort

Suboptimal sleep durations and depression frequently cooccur. Short-sleep and long-sleep are commonly thought of as symptoms of depression, but a growing literature suggests that they may be prodromal. While each represents a process of mutual influence, the directionality between them remains unclear. Using polygenic scores (PGS), we investigate the prospective direction involved in suboptimal sleep durations and depression. Male and female participants, aged ≥50, were recruited from the English Longitudinal Study of Ageing (ELSA). PGS for sleep duration, short-sleep, and long-sleep were calculated using summary statistics data from the UK Biobank cohort. Sleep duration, categorised into short-sleep ("≤5 h"), optimal-sleep (">5 to <9 h"), and long-sleep ("≥9 h"), was measured at baseline and across an average 8-year follow-up. Subclinical depression (Centre for Epidemiological Studies Depression Scale [≥4 of 7]) was also ascertained at baseline and across an average 8-year follow-up. One standard deviation increase in PGS for short-sleep was associated with 14% higher odds of depression onset (95% CI = 1.03-1.25, p = 0.008). However, PGS for sleep duration (OR = 0.92, 95% CI = 0.84-1.00, p = 0.053) and long-sleep (OR = 0.97, 95% CI = 0.89-1.06, p = 0.544) were not associated with depression onset during follow-up. During the same period, PGS for depression was not associated with overall sleep duration, short-sleep, or long-sleep. Polygenic predisposition to short-sleep was associated with depression onset over an average 8-year period. However, polygenic predisposition to depression was not associated with overall sleep duration, short-sleep or long-sleep, suggesting different mechanisms underlie the relationship between depression and the subsequent onset of suboptimal sleep durations in older adults.

Association of Subjective Sleep Pattern with Self-reported Diabetes in China

There is limited research investigating the relationship between self-reported diabetes mellitus and subjective sleep patterns. Our study aims to explore this association by analyzing trends in a cohort study conducted in China using data from the China Health and Nutrition Survey longitudinal research (CHNS). We used multilevel logistic regression models to analyze the relationship. Our findings indicate that the prevalence of self- reported diabetes in China increased from 1.10% in 2004 to 3.36% in 2015, with an increase in the prevalence of short-term sleep from 7.03-10.24%. The prevalence of self-reported diabetes increased with increasing BMI levels (Normal and below: 0.67-2.16%, Overweight: 1.58-4.35%, Obesity: 2.68-6.57%, p < 0.01). The short-term sleep subgroup had the highest prevalence (2.14-5.64%). Additionally, we found significant associations between age, education level, ethnicity, coffee, smoking, drinking and the self-reported diabetes. Interestingly, the risk ratios for self-reported diabetes differed between sleep durations. With 6-8hours as the reference group, the risk ratios for self-reported diabetes in the short-term, and long-term sleep subgroups were 1.80 (95% CI: 1.23-2.63), and 1.41 (95%CI: 1.01-1.96), respectively. Raising awareness about the impact of irregular sleep duration on diabetes risk is essential, and these initiatives may serve as effective policies for diabetes control.

Associations of accelerometer-measured sedentary behavior and physical activity with sleep in older adults

BACKGROUND

Few studies have examined the non-linear relationships of objectively-measured sedentary behavior and physical activity with insomnia symptoms in older adults. We investigated such relationships of sedentary and physically-active behaviors with total sleep time and nocturnal wakefulness.

METHODS

We recruited adults aged 60 years and above who have received health check-ups or been to geriatric outpatient services from a hospital setting. Sedentary and physically-active behaviors, total sleep time, and wakefulness time after sleep onset were measured by Actigraphy, and their relationships were estimated using generalized additive models.

RESULTS

The 157 older adults receiving health-related services slept 7.5 h (20.8 min awake) on average per day. Total sleep time was negatively associated with sedentary and physically-active behaviors. By contrast, a U-shape relationship was found between sedentary behavior and wakefulness time after sleep onset, with a turning point at a daily sedentary time of 10.9 h.

CONCLUSION

Longer high-intensity physical activity time was related to a shorter wakefulness time after sleep onset. By contrast, daily sedentary time longer than 10.9 h was related to shorter total sleep time but more nocturnal wakefulness time. Future nonpharmacological strategies for sleep improvement should consider the sedentary threshold.

Erwin M, Olmstead R, Jean-Louis G, Parthasarathy S, D. Youngstedt S. Comparisons of Sleep, Demographics, and Health-Related Variables in Older Long and Average Duration Sleepers

Introduction  Long sleep duration is associated with many health risks, particularly in older adults, but little is known about other characteristics associated with long sleep duration. Methods  Across 5 sites, adults aged 60-80 years who reported sleeping 8-9 h ("long sleepers", n = 95) or 6-7.25 h ("average sleepers", n = 103) were assessed for two weeks using actigraphy and sleep diary. Demographic and clinical characteristics, objective sleep apnea screening, self-reported sleep outcomes, and markers of inflammation and glucose regulation were measured. Results  Compared to average sleepers, long sleepers had a greater likelihood of being White and unemployed and/or retired. Long sleepers also reported longer time in bed, total sleep time and wake after sleep onset by sleep diary and by actigraphy. Other measures including medical co-morbidity, apnea/hypopnea index, sleep related outcomes such as sleepiness, fatigue, depressed mood, or markers of inflammation and glucose metabolism did not differ between long and average sleepers. Conclusion  Older adults with long sleep duration were more likely to be White, report unemployment and retirement suggesting the social factors or related sleep opportunity contributed to long sleep duration in the sample. Despite known health risks of long sleep duration, neither co-morbidity nor markers of inflammation or metabolism differed in older adults with long sleep duration compared with those with average sleep duration.

The Pendulum Swings Both Ways: Evidence for U-Shaped Association between Sleep Duration and Mental Health Outcomes

Short sleep duration is a known risk to health, but less certain is the impact of longer sleep duration on various measures of health. We investigated the relationship between sleep duration and mental health outcomes in a cross-sectional survey conducted on a homogenous sample of healthy governmental employees (N = 1212). Data on sleep duration, subjective health, psychological stress, sense of coherence, life satisfaction and work ability along with sociodemographic data were collected. Sleep duration was significantly longer, and mental health outcomes and work ability were significantly better among those in at least good subjective health. Fitting mental health outcomes on sleep duration suggested a quadratic or fractional polynomial function, therefore these were tested and the best-fitting models were selected. Longer than 8 h of sleep duration was associated with a decreasing sense of coherence and decreasing work ability. However, psychological stress and life satisfaction were positively impacted by more than 8 h of sleep. Sleep duration likely has an optimum range for health, similar to other variables reflecting homeostatic functions. However, this is difficult to prove due to the left-skewed distribution of sleep duration.

Trends in sleep duration in Korea: The Korean time use survey

OBJECTIVES

An accurate assessment of sleep duration is important in that it can be one of the indicators of a country's overall health and well-being. The global trend in sleep duration is controversial according to study types. We investigated trends in sleep duration in South Korea with a time diary method.

METHODS

Data from the Korean Time Use Survey (KTUS) in 2004, 2009, 2014, and 2019, were analyzed. The KTUS is a nationwide, cross-sectional survey that measures daily time use patterns of individuals and has been performed every five years by Statistics Korea. For this survey, all participants were asked to record their activities for 2 continuous days in 10-min intervals.

RESULTS

Among the 168,682 people who completed the survey in 2004 through 2019, the final analytical sample consisted of 91,998 individuals. Over 15 years, the sleep duration of the Korean population increased from 411.1 min (SD 22.5) in 2004 to 434.5 min (SD 26.1) in 2019 (p for trend <0.001). This increase was observed for all age groups. Over the study period, while bedtime showed no significant change, wake time was generally delayed for all age groups. The increase in sleep duration in the Korean population was largely due to catch-up sleep on Saturdays, which was substantially prolonged with belated wake times.

CONCLUSION

Our nationwide time use survey data showed that sleep duration in South Korea has increased over the past 15 years but still has room for improvement in terms of weekday sleep duration.

How do 24-h movement behaviours change during and after vacation? A cohort study

BACKGROUND

For adults, vacations represent a break from daily responsibilities of work - offering the opportunity to re-distribute time between sleep, sedentary behaviour, light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) across the 24-h day. To date, there has been minimal research into how activity behaviour patterns change on vacation, and whether any changes linger after the vacation. This study examined how daily movement behaviours change from before, to during and after vacations, and whether these varied based on the type of vacation and vacation duration.

METHODS

Data collected during the Annual Rhythms In Adults' lifestyle and health (ARIA) study were used. 308 adults (mean age 40.4 years, SD 5.6) wore Fitbit Charge 3 fitness trackers 24 h a day for 13 months. Minute-by-minute movement behaviour data were aggregated into daily totals. Multi-level mixed-effects linear regressions were used to compare movement behaviours during and post-vacation (4 weeks) to pre-vacation levels (14 days), and to examine the associations with vacation type and duration.

RESULTS

Participants took an average of 2.6 (SD = 1.7) vacations of 12 (SD = 14) days' (N = 9778 days) duration. The most common vacation type was outdoor recreation (35%) followed by family/social events (31%), rest (17%) and non-leisure (17%). Daily sleep, LPA and MVPA all increased (+ 21 min [95% CI = 19,24] p < 0.001, + 3 min [95% CI = 0.4,5] p < 0.02, and + 5 min [95% CI = 3,6] p < 0.001 respectively) and sedentary behaviour decreased (-29 min [95% CI = -32,-25] p < 0.001) during vacation. Post-vacation, sleep remained elevated for two weeks; MVPA returned to pre-vacation levels; and LPA and sedentary behaviour over-corrected, with LPA significantly lower for 4 weeks, and sedentary behaviour significantly higher for one week. The largest changes were seen for "rest" and "outdoor" vacations. The magnitude of changes was smallest for short vacations (< 3 days).

CONCLUSIONS

Vacations are associated with favourable changes in daily movement behaviours. These data provide preliminary evidence of the health benefits of vacations.

TRIAL REGISTRATION

The study was prospectively registered on the Australian New Zealand Clinical Trial Registry (Trial ID: ACTRN12619001430123).

Is early-onset cancer an emerging global epidemic? Current evidence and future implications

Over the past several decades, the incidence of early-onset cancers, often defined as cancers diagnosed in adults <50 years of age, in the breast, colorectum, endometrium, oesophagus, extrahepatic bile duct, gallbladder, head and neck, kidney, liver, bone marrow, pancreas, prostate, stomach and thyroid has increased in multiple countries. Increased use of screening programmes has contributed to this phenomenon to a certain extent, although a genuine increase in the incidence of early-onset forms of several cancer types also seems to have emerged. Evidence suggests an aetiological role of risk factor exposures in early life and young adulthood. Since the mid-20th century, substantial multigenerational changes in the exposome have occurred (including changes in diet, lifestyle, obesity, environment and the microbiome, all of which might interact with genomic and/or genetic susceptibilities). However, the effects of individual exposures remain largely unknown. To study early-life exposures and their implications for multiple cancer types will require prospective cohort studies with dedicated biobanking and data collection technologies. Raising awareness among both the public and health-care professionals will also be critical. In this Review, we describe changes in the incidence of early-onset cancers globally and suggest measures that are likely to reduce the burden of cancers and other chronic non-communicable diseases.

Sleep-wake patterns and disturbances in Portuguese primary school children: a comparison between 1995 and 2016

Purpose

It is often assumed sleep duration has decreased and sleep schedules have delayed over the last decades, as society modernized. We aimed to investigate changes in the sleep patterns of school-age children over time.

Methods

We compared the sleep timings, durations, and disturbances of primary school-age children in 1995 and roughly two decades later, in 2016. Data from 666 children attending the 3rd and 4th grades of basic education were combined from two different cross-sectional school-based studies conducted within the same educational region of mainland Portugal using the same parent-report questionnaire (Children's Sleep-wake Patterns Questionnaire).

Results

Mean sleep duration did not differ significantly between the two time points (schooldays: t = .118, p = .906; free days: t = 1.310, p = .191), albeit the percentage of children sleeping the recommended number of hours decreased significantly in 2016 when compared to 1995 (schooldays: χ2 = 4.406, p = .036; free days: χ2 = 16.859, p < .001). Wake-times advanced on free days in 2016. Difficulties on settling to sleep alone and returning to sleep were more prevalent in 2016, as well as fearing the dark and needing lights on or parent's presence to fall asleep.

Conclusions

Sleep onset-related disturbances appear to have increased from 1995 to 2016. One possible explanation for this increase might be the change in parental practices preventing children from learning to fall asleep autonomously.

Sleep function: an evolutionary perspective

Prospective epidemiological studies in industrial societies indicate that 7 h of sleep per night in people aged 18 years or older is optimum, with higher and lower amounts of sleep predicting a shorter lifespan. Humans living a hunter-gatherer lifestyle (eg, tribal groups) sleep for 6-8 h per night, with the longest sleep durations in winter. The prevalence of insomnia in hunter-gatherer populations is low (around 2%) compared with the prevalence of insomnia in industrial societies (around 10-30%). Sleep deprivation studies, which are done to gain insights into sleep function, are often confounded by the effects of stress. Consideration of the duration of spontaneous daily sleep across species of mammals, which ranges from 2 h to 20 h, can provide important insights into sleep function without the stress of deprivation. Sleep duration is not related to brain size or cognitive ability. Rather, sleep duration across species is associated with their ecological niche and feeding requirements, indicating a role for wake-sleep balance in food acquisition and energy conservation. Brain temperature drops from waking levels during non-rapid eye movement (non-REM) sleep and rises during REM sleep. Average daily REM sleep time of homeotherm orders is negatively correlated with average body and brain temperature, with the largest amount of REM sleep in egg laying (monotreme) mammals, moderate amounts in pouched (marsupial) mammals, lower amounts in placental mammals, and the lowest amounts in birds. REM sleep might, therefore, have a key role in the regulation of temperature and metabolism of the brain during sleep and in the facilitation of alert awakening.

Association between Self-Reported Prior Night's Sleep and Single-Task Gait in Healthy, Young Adults: A Study Using Machine Learning

Failure to obtain the recommended 7−9 h of sleep has been associated with injuries in youth and adults. However, most research on the influence of prior night’s sleep and gait has been conducted on older adults and clinical populations. Therefore, the objective of this study was to identify individuals who experience partial sleep deprivation and/or sleep extension the prior night using single task gait. Participants (n = 123, age 24.3 ± 4.0 years; 65% female) agreed to participate in this study. Self-reported sleep duration of the night prior to testing was collected. Gait data was collected with inertial sensors during a 2 min walk test. Group differences (<7 h and >9 h, poor sleepers; 7−9 h, good sleepers) in gait characteristics were assessed using machine learning and a post-hoc ANCOVA. Results indicated a correlation (r = 0.79) between gait parameters and prior night’s sleep. The most accurate machine learning model was a Random Forest Classifier using the top 9 features, which had a mean accuracy of 65.03%. Our findings suggest that good sleepers had more asymmetrical gait patterns and were better at maintaining gait speed than poor sleepers. Further research with larger subject sizes is needed to develop more accurate machine learning models to identify prior night’s sleep using single-task gait.

Sleep and circadian informatics data harmonization: a workshop report from the Sleep Research Society and Sleep Research Network

The increasing availability and complexity of sleep and circadian data are equally exciting and challenging. The field is in constant technological development, generating better high-resolution physiological and molecular data than ever before. Yet, the promise of large-scale studies leveraging millions of patients is limited by suboptimal approaches for data sharing and interoperability. As a result, integration of valuable clinical and basic resources is problematic, preventing knowledge discovery and rapid translation of findings into clinical care. To understand the current data landscape in the sleep and circadian domains, the Sleep Research Society (SRS) and the Sleep Research Network (now a task force of the SRS) organized a workshop on informatics and data harmonization, presented at the World Sleep Congress 2019, in Vancouver, Canada. Experts in translational informatics gathered with sleep research experts to discuss opportunities and challenges in defining strategies for data harmonization. The goal of this workshop was to fuel discussion and foster innovative approaches for data integration and development of informatics infrastructure supporting multi-site collaboration. Key recommendations included collecting and storing findable, accessible, interoperable, and reusable data; identifying existing international cohorts and resources supporting research in sleep and circadian biology; and defining the most relevant sleep data elements and associated metadata that could be supported by early integration initiatives. This report introduces foundational concepts with the goal of facilitating engagement between the sleep/circadian and informatics communities and is a call to action for the implementation and adoption of data harmonization strategies in this domain.

Time to Sleep?-A Review of the Impact of the COVID-19 Pandemic on Sleep and Mental Health

Sleep is intrinsically tied to mental and overall health. Short sleep duration accompanies the modern lifestyle, possibly reaching epidemic proportions. The pandemic and subsequent lockdowns determined a fundamental shift in the modern lifestyle and had profound effects on sleep and mental health. This paper aims to provide an overview of the relationship between sleep, mental health and COVID-19. Contrasting outcomes on sleep health have been highlighted by most reports during the pandemic in the general population. Consequently, while longer sleep durations have been reported, this change was accompanied by decreases in sleep quality and altered sleep timing. Furthermore, an increased impact of sleep deficiencies and mental health burden was generally reported in health care workers as compared with the adult general population. Although not among the most frequent symptoms during the acute or persistent phase, an increased prevalence of sleep deficiencies has been reported in patients with acute and long COVID. The importance of sleep in immune regulation is well known. Consequently, sleep deficiencies may influence multiple aspects of COVID-19, such as the risk, severity, and prognosis of the infection and even vaccine response.

Reiki for promotion of health and sleep quality in hospital nursing professionals

ABSTRACT Objectives: to know the repercussions of a Reiki therapy intervention on the sleep quality of nursing professionals working in a general hospital. Methods: a qualitative-quantitative study conducted with 16 professionals from the nursing team of a hospital in northwest Paraná, who participated in an intervention consisting of six weekly Reiki sessions. Data collected from September, 2019 to March, 2020 through semi-structured interviews and application of the Pittsburgh Sleep Quality Index before and after the intervention. Results: better sleep quality, characterized by a reduction in the time to fall asleep and in nightmares, and an increase in sleeping hours. Conclusions: reiki intervention had a positive impact on the sleep quality of participants.

Reiki para promoção da saúde e qualidade do sono em profissionais de enfermagem de hospital

RESUMO Objetivos: conhecer as repercussões de intervenção com sessões de reiki na qualidade do sono de profissionais de enfermagem atuantes em um hospital geral. Métodos: estudo de abordagem quali-quantitativa realizado com 16 profissionais da equipe de enfermagem de um hospital no noroeste do Paraná que participaram de uma intervenção constituída por seis sessões semanais de reiki. Dados coletados de setembro/2019 a março/2020, mediante entrevista semiestruturada e aplicação do Índice de Qualidade do Sono de Pittsburgh antes e após o término da intervenção. Resultados: melhora na qualidade do sono, caracterizada por redução do tempo para adormecer e dos pesadelos e aumento nas horas dormidas. Conclusões: a intervenção com reiki repercutiu de forma positiva sobre a qualidade do sono das participantes.

The Discrepancy between Knowledge of Sleep Recommendations and the Actual Sleep Behaviour of Australian Adults

Introduction: Inadequate sleep is a major public health concern, with large economic, health, and operational costs to Australia. Despite the implementation of public sleep health campaigns, approximately 40% of Australian adults do not obtain the recommended 7-9 hours of sleep. Thus, while people may know how much sleep is required, this knowledge may not be adequately translated to actual sleep behavior. Consequently, this study aims to examine the discrepancy between knowledge of sleep recommendations and self-reported sleep behaviors.Methods: A sample of 1265 Australian adults (54% female, aged 18-65) completed a phone interview as part of the 2017 National Social Survey and were asked questions about their knowledge of sleep guidelines and their actual sleep behavior. Binary logistic regression was used to determine the factors associated with awareness of sleep recommendations and whether this corresponded with reported sleep duration.Results: The final sample size was 998. Although 94% of the sample were aware of current sleep recommendations, 23% of participants did not self-report regularly obtaining 7-9 h sleep per night. These participants were less likely to want to obtain more sleep, less likely to view sleep as a priority before stressful events, and less likely to self-report good health.Conclusion: Although a majority of the sample were aware of sleep recommendations, almost a quarter of the participants' behavior did not align with their knowledge. Future sleep health campaigns should consider options beyond education, including emphasis on practical strategies and modifiable lifestyle factors to assist individuals to obtain the recommended amount of sleep.

The impact of social networks on sleep among a cohort of college students

Background

Sleep duration and quality are associated with physical and mental wellbeing. This paper examines social network effects on individual level change in the sleep quantity and quality from late adolescence to emerging adulthood and its associated factors, including the influence of peers on sleep behavior and the impact of changes in network size.

Methods

We use sleep data from 619 undergraduates at the University of Notre Dame obtained via Fitbit devices as part of the NetHealth project. The data were collected between August 16, 2015 and May 13, 2017. We model trends in sleep behaviors using latent growth-curve models.

Results

Controlling for the many factors known to impact sleep quantity and quality, we find two social network effects: increasing network size is associated with less sleep and a student's sleep levels are influenced by his or her peers. While we do not find any consistent decline in sleep quantity over the 637 days, daily fluctuations in sleep quantity are associated with changes in network size and the composition of a student's network. As a student's network gets bigger, s/he sleeps less, and when a student's contacts sleep more (or less) than s/he does, the student becomes more like his or her contacts and sleeps more (or less).

Conclusions

Social networks can and do impact sleep, especially sleep quantity. In contexts where students want to have larger networks, the difficulties of increasing network size and maintaining larger networks negatively impact sleep. Because of peer influence, the effectiveness of interventions designed to improve sleep practices could be increased by leveraging student social networks to help diffuse better sleep habits.

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The sleep habits of 619 undergraduates were traced with Fitbit devices for 637 days.

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Their sleep quantity measures were relatively stable but affect by peers.

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Their sleep quality was slightly getting worse but not affected by peers.

Landscape of biomedical informatics standards and terminologies for clinical sleep medicine research: A systematic review

A systematic literature review was conducted to understand the current landscape of standards and terminologies used in clinical sleep medicine. Literature search on PubMed, EMBASE, Medline and Web of Science was performed in March 2021 using terms related to sleep, terminologies, standards, harmonization, semantics, ontology, and electronic health records (EHR). Systematic review was carried out according to PRISMA. Among 128 included studies, 35 were eligible for review. Articles were broadly classified into six topics: standard terminology efforts, reporting standards, databases and resources, data integration efforts, EHR abstraction and standards for automated sleep scoring. This review highlights the progress and challenges related to establishing computable terminologies in sleep medicine, and identifies gaps, limitations and research opportunities related to data integration that could improve adoption of clinical research informatics in this field. There is a need for the systematic adoption of standardized terminologies in all areas of sleep medicine. Existing data aggregation resources could be leveraged to support the development of an integrated infrastructure and subsequent deployment in EHR systems within sleep centers. Ultimately, the adoption of standardized practices for documenting sleep disorders and related traits facilitates data sharing, thus accelerating discovery and clinical translation of informatics approaches applied to sleep medicine.

Sleep Duration and Waking Activities in Relation to the National Sleep Foundation's Recommendations: An Analysis of US Population Sleep Patterns from 2015 to 2017

The objective was to investigate the association between time spent on waking activities and nonaligned sleep duration in a representative sample of the US population. We analysed time use data from the American Time Use Survey (ATUS), 2015-2017 (N = 31,621). National Sleep Foundation (NSF) age-specific sleep recommendations were used to define recommended (aligned) sleep duration. The balanced, repeated, replicate variance estimation method was applied to the ATUS data to calculate weighted estimates. Less than half of the US population had a sleep duration that mapped onto the NSF recommendations, and alignment was higher on weekdays (45%) than at weekends (33%). The proportion sleeping longer than the recommended duration was higher than those sleeping shorter on both weekdays and weekends (p < 0.001). Time spent on work, personal care, socialising, travel, TV watching, education, and total screen time was associated with nonalignment to the sleep recommendations. In comparison to the appropriate recommended sleep group, those with a too-short sleep duration spent more time on work, travel, socialising, relaxing, and leisure. By contrast, those who slept too long spent relatively less time on each of these activities. The findings indicate that sleep duration among the US population does not map onto the NSF sleep recommendations, mostly because of a higher proportion of long sleepers compared to short sleepers. More time spent on work, travel, and socialising and relaxing activities is strongly associated with an increased risk of nonalignment to NSF sleep duration recommendations.

Environmental factors related to sleep latency among inpatients in rehabilitation wards according to functional independence measure cognitive scores

BACKGROUND

No study has investigated sleep-related environmental factors in patients according to their functional independence measure (FIM) cognitive scores.

AIMS

The aim of this study is to examine the associations between environmental factors such as noise and sleep latency according to the FIM cognitive scores among inpatients in rehabilitation wards.

DESIGN

This is a prospective longitudinal study.

METHODS

This study measured the sleep state using a bed-based actigraphy, environmental data from Environmental Sensor®, and medical record information of 33 inpatients in the rehabilitation wards during 2018. A linear mixed-effect model was used to analyse the associations between sleep latency and environmental factors. Participants were grouped according to high or low FIM cognitive scores.

RESULTS

The average patient age was 77.2 ± 10.9 years, and 48.5% were male. In the high FIM cognitive score group, the loudness and frequency of noise exceeding 40 dB during sleep latency were significantly associated with sleep latency. In the low FIM cognitive score group, only the noise frequency was associated with sleep latency, and intra-individual variance was larger than that of the high group.

CONCLUSION

These findings suggest that providing night care with attention to subdued noise is important, particularly for patients with low cognitive functional independence levels measured by the FIM cognitive score.

Discrimination and Sleep among Asians and Pacific Islanders Adults

STUDY OBJECTIVES

To examine the association between discrimination and sleep duration and difficulty among Asians and Pacific Islanders (APIs) in the United States, and to test nativity and ethnic identity (EI) as effect modifiers.

METHODS

This cross-sectional study of 1,765 adults from the National Epidemiology Study of Alcohol and Related Conditions III, assessed discrimination using the Experiences of Discrimination scale. Discrimimation was classified as low, moderate, and high. Regression models were used to examine self-reported sleep duration and difficulty.

RESULTS

In bivariate analyses, individuals with high discrimination had the shortest sleep and reported sleep difficulty most often. Using linear models adjusted for sociodemographic and health characteristics, moderate and high discrimination were associated with 9 minutes (standard error [SE]: 4.8, p <0.10) and 14.4 minutes (SE: 6.0, p <0.05) less sleep, respectively, relative to low discrimination. Individuals with moderate and high discrimination had higher prevalence of sleep difficulty compared to those with low discrimination (prevalence ratio [PR]: 1.51, 95% confidence interval [CI]: 1.14-1.99 and PR: 1.73, 95% CI: 1.33-2.24, respectively). Interaction effect was observed in sleep difficulty by nativity and EI, but not duration. The association between discrimination and sleep difficulty was stronger among US-born relative to foreign-born participants. Among participants with low EI, moderate and high discrimination were associated with sleep difficulty, whereas among those with high EI, only high discrimination displayed this association.

CONCLUSIONS

Discrimination is associated with sleep duration and difficulty, and varies by nativity and EI. Research is needed to improve sleep among APIs that experience discrimination.[.

Impact of COVID-19 social-distancing on sleep timing and duration during a university semester

Social-distancing directives to contain community transmission of the COVID-19 virus can be expected to affect sleep timing, duration or quality. Remote work or school may increase time available for sleep, with benefits for immune function and mental health, particularly in those individuals who obtain less sleep than age-adjusted recommendations. Young adults are thought to regularly carry significant sleep debt related in part to misalignment between endogenous circadian clock time and social time. We examined the impact of social-distancing measures on sleep in young adults by comparing sleep self-studies submitted by students enrolled in a university course during the 2020 summer session (entirely remote instruction, N = 80) with self-studies submitted by students enrolled in the same course during previous summer semesters (on-campus instruction, N = 452; cross-sectional study design). Self-studies included 2–8 week sleep diaries, two chronotype questionnaires, written reports, and sleep tracker (Fitbit) data from a subsample. Students in the 2020 remote instruction semester slept later, less efficiently, less at night and more in the day, but did not sleep more overall despite online, asynchronous classes and ~44% fewer work days compared to students in previous summers. Subjectively, the net impact on sleep was judged as positive or negative in equal numbers of students, with students identifying as evening types significantly more likely to report a positive impact, and morning types a negative impact. Several features of the data suggest that the average amount of sleep reported by students in this summer course, historically and during the 2020 remote school semester, represents a homeostatic balance, rather than a chronic deficit. Regardless of the interpretation, the results provide additional evidence that social-distancing measures affect sleep in heterogeneous ways.

Spanish Version of the Bedtime Procrastination Scale: Cross-Cultural Adaptation and Psychometric Evaluation in a Sample of Nursing Students

A recent line of research concerns bedtime procrastination, its effects on sleep quality and duration, and the associated repercussions for health and wellbeing. The Bedtime Procrastination Scale is a brief, self-report instrument developed by Kroese et al. with the aim of evaluating this behavior and exploring its association with insufficient sleep, and hence with health. The aim was to develop and validate a Spanish version of the Bedtime Procrastination Scale (BPS-Sp) and to examine the relationship between bedtime procrastination and both general procrastination and self-control. The original BPS was translated from English into Spanish in accordance with international guidelines on the cross-cultural adaptation of measurement instruments. The sample for the validation study comprised 177 nursing students who completed a questionnaire requesting demographic data and which included the following instruments: the newly developed BPS-Sp, the Tuckman Procrastination Scale, and the Brief Self-Control Scale. Statistical analysis involved tests of normality (Kolmogorov-Smirnov), reliability (Cronbach's alpha, test-retest), construct validity, and confirmatory factor analysis. Scores on the BPS-Sp showed excellent internal consistency (α = .83) and temporal stability (test-retest r = .84), as well as significant correlations with general procrastination (r = .26; p < .01) and self-control (r = -.17; p < .05). Confirmatory factor analysis showed an adequate fit for the single-factor solution proposed by Kroese et al. The results suggest that the BPS-Sp is a valid and reliable instrument for assessing bedtime procrastination in the Spanish-speaking population.

Association between e-cigarette use and sleep deprivation in U.S. Young adults: Results from the 2017 and 2018 Behavioral Risk Factor Surveillance System

BACKGROUND

Few studies have assessed the association between e-cigarette use and sleep deprivation. This is an important question given the rapid increase in e-cigarette use among young adults in recent years.

PURPOSE

To determine whether e-cigarette use is associated with sleep deprivation in a sample of young (18-24 years-old) American adults.

METHODS

We used pooled cross-sectional data from the 2017 and 2018 Behavioral Risk Factor Surveillance System (BRFSS), selecting respondents aged 18 to 24 from forty-one states and U.S. territories that included the e-cigarette and sleep modules in the interview (N = 19,701). Poisson regression models tested the relationship between e-cigarette use and sleep deprivation. We adjusted for sociodemographic variables, physical activity, mental health, BMI, smokeless tobacco products use, alcohol drinking, and smoking.

RESULTS

In the pooled dataset, the weighted prevalence of current or former e-cigarette use was 47% and 35% of participants self-reported sleep deprivation. After adjusting for confounders, former e-cigarette users were 1.17 times more likely to report sleep deprivation, compared to never users (95%CI: 1.06, 1.29). The prevalence ratio for self-reported sleep deprivation increased to 1.42 (95%CI: 1.23, 1.65) for everyday users, compared to never e-cigarette users.

CONCLUSIONS

These findings suggest that e-cigarette use might be related to sleep deprivation in young adults. Future longitudinal studies should assess the causal and dose-response nature of this relationship.

Vitamin D and sleep duration: Is there a bidirectional relationship?

Vitamin D contributes to numerous physiological processes within the body but primarily calcium and bone homeostasis. Emerging evidence highlights a novel role for vitamin D in maintaining and regulating optimal sleep. Sleep is a known regulator of bone health, highlighting the interconnectedness between vitamin D concentrations, sleep duration and bone metabolism. It is possible that the relationship between sleep length and vitamin D is bidirectional, with vitamin D playing a role in sleep health and conversely, sleep affecting vitamin D levels. Nevertheless, limited information on the direction of the interaction is available, and much remains to be learned concerning the complex relationship between insufficient sleep duration and vitamin D deficiency. Given the potential to implement interventions to improve sleep and vitamin D supplementation, understanding this relationship further could represent a novel way to support and improve health.

Stay-at-home circumstances do not produce sleep disorders: An international survey during the COVID-19 pandemic

OBJECTIVE

The anxiety-related insomnia and other sleep disorders were mentioned as possible side effects of quarantine and stay-at-home conditions. The questions to be explored were: Are there discernable differences in hours of sleep and sleep habits between the normal operational environment and the stay-at-home condition? and How seriously anxiety-induced insomnia or other sleep disorders may affect individuals during the stay-at-home?

METHODS

This international prospective study analyzed results from the sleep-wake patterns questionnaire, daily logs, and interviews. During COVID-19 pandemic, surveys were administered to the healthy volunteers with stay-at-home for 14 days or more, without previous sleep disorders; volunteers were not involved in online education/work daily timetable-related activities.

RESULTS

We analyzed 14,000 subjects from 11 countries with average stay-at-home of 62 days. The most significant changes in sleep occurred during the first 14 days of stay-at-home. The difference in the sleep duration between weekdays and weekends disappeared. Most of the participants discontinued using alarm clocks. The total sleep time increased in duration up to 9:10 ± 1:16 to the end of the quarantine/stay-at-home (+1:34, p = 0.02). The age-dependent changes in napping habits occurred. Only 1.8% of participants indicated insomnia during the first 14-day period with a decline to 0.5% after two months of stay-at-home.

CONCLUSION

During the stay-at-home situation, both duration and timing of sleep significantly differ from those of daily routine and most humans sleep longer than in a schedule-dependent operational environment. An appearance of anxiety-induced insomnia is extremely rare if a healthy individual is already in the stay-at-home situation.

Self-reported sleep duration, sleep quality and sleep problems in Mexicans adults: Results of the 2016 Mexican National Halfway Health and Nutrition Survey

OBJECTIVE

This study aimed to investigate self-reported sleep duration, sleep quality and sleep problems in a Mexican adult population by considering age, sex, geographical regions and urban/rural residency.

DESIGN/MEASUREMENTS

Cross-sectional national adult survey based on the 2016 Mexican National Halfway Health and Nutrition Survey data.

SETTING

Nationally representative survey data.

PARTICIPANTS

Mexican adults ≥ 18 years, n = 8649 (N weighted = 71,158,260 adults).

RESULTS

Overall, mean sleep duration was 7:19 hours, from which 37% had sleep problems, and 45.7% reported very good sleep quality. Furthermore, middle-aged adults slept less than younger and older adults, females were at lower risk of being a short sleeper than males, urban residents slept less than rural residents, and those from the center region of the country slept less than from the northern and southern regions. Mainly, participants from the state of Quintana Roo, Aguascalientes, and Baja California reported sleep duration <7 hours (6:26 hours, 6:45 hours, and 6:55 hours, respectively). Overall Mexicans who obtained sufficient sleep (≥8 hours) were more likely to be female, in their 20s, reporting perceived "good" or "very good" sleep quality, possessed no self-reported sleep problems, were not a tobacco user, and resided in rural areas. Furthermore, Mexicans who obtained poor sleep quality were more likely to be females that reported sleep problems, took sleep medications, and resided in urban areas.

CONCLUSION

The present study's findings have important implications for understanding the nationwide features of sleep in Mexican adults. Education and public health awareness initiatives regarding good sleep may be warranted.

Rapidly declining body temperature in a tropical human population

Normal human body temperature (BT) has long been considered to be 37.0°C. Yet, BTs have declined over the past two centuries in the United States, coinciding with reductions in infection and increasing life expectancy. The generality of and reasons behind this phenomenon have not yet been well studied. Here, we show that Bolivian forager-farmers (n = 17,958 observations of 5481 adults age 15+ years) inhabiting a pathogen-rich environment exhibited higher BT when first examined in the early 21st century (~37.0°C). BT subsequently declined by ~0.05°C/year over 16 years of socioeconomic and epidemiological change to ~36.5°C by 2018. As predicted, infections and other lifestyle factors explain variation in BT, but these factors do not account for the temporal declines. Changes in physical activity, body composition, antibiotic usage, and thermal environment are potential causes of the temporal decline.

Sleep, inflammation, and perception of sad facial emotion: A laboratory-based study in older adults

BACKGROUND

Facial emotion perception (FEP) is pivotal for discriminating salient emotional information. Accumulating data indicate that FEP responses, particularly to sad emotional stimuli, are impaired in depression. This study tests whether sleep disturbance and inflammation, two risk factors for depression, contribute to impaired FEP to sad emotional stimuli.

METHODS

In older adults (n = 40, 71.7 ± 6.8y, 56.4% female), disturbance of sleep maintenance (i.e., wake time after sleep onset [WASO]) was evaluated by polysomnography. In the morning, plasma concentrations of two markers of systemic inflammation were evaluated (i.e., interleukin [IL]-6, tumor necrosis factor [TNF]-α), followed by two FEP tasks, which assessed delays in emotion recognition (ER) and ratings of perceived emotion intensity (EI) in response to sad facial emotional stimuli, with exploration of FEP responses to happiness and anger. Linear regression models tested whether WASO, IL-6, and TNF-α would be associated with impaired FEP to sad emotional stimuli. In addition, moderation tests examined whether inflammation would moderate the link between sleep disturbance and impaired FEP to sad emotional stimuli.

RESULTS

Longer WASO predicted longer ER delays (p < 0.05) and lower EI ratings in response to sad faces (p < 0.01). Further, higher TNF-α (p < 0.05) but not IL-6 predicted longer ER delays for sad faces, whereas higher IL-6 (p < 0.01) but not TNF-α predicted lower EI ratings for sad faces. Finally, TNF-α moderated the relationship between longer WASO and longer ER delays to sad faces (p < 0.001), while IL-6 moderated the relationship between longer WASO and lower EI ratings to sad faces (p < 0.01). Neither sleep nor inflammatory measures were associated with FEP responses to happiness or anger.

CONCLUSION

In older adults, disturbance of sleep maintenance is associated with impaired FEP to sad emotion, a relationship that appears to be moderated by inflammation. These data indicate that sleep disturbance and inflammation converge and contribute to impaired FEP with implications for risk for late-life depression.

Changes in self-reported sleep duration with age - a 36-year longitudinal study of Finnish adults

BACKGROUND

Sleep deprivation is often claimed to be increasingly common, but most studies show small changes in sleep duration over the last decades. Our aim was to analyze long-term patterns in self-reported sleep duration in a population-based cohort.

METHODS

Members of the Older Finnish Twin Cohort have responded to questionnaires in 1975 (N = 30,915 individuals, response rate 89%, mean age 36 years), 1981 (24,535, 84%, 41 years), 1990 (12,450, 77%, 44 years), and 2011 (8334, 72%, 60 years). Weibull regression models were used to model the effects of follow-up time and age simultaneously.

RESULTS

Sleep duration has decreased in all adult age groups and in both genders. The mean duration was in men 7.57 h in 1975 and 7.39 in 2011, and in women 7.69 and 7.37, respectively. The decrease was about 0.5 min in men and 0.9 in women per year of follow-up. In the age-group 18-34 years, mean sleep length was 7.69 h in 1975 and 7.53 in 1990. Among 35-54-year-old it was 7.57 h in 1975 and 7.34 in 2011, and in the age group of 55+ year olds 7.52 and 7.38, correspondingly. The change was largest in middle-aged group: about 23 min or about 0.6 min per year of follow-up.

CONCLUSIONS

There has been a slight decrease in mean sleep duration during the 36-year follow-up. Although the sleep duration was longer in 1970s and 1980s, the probable main cause for the change in this study population is the effect of aging.

Trends and correlates of meeting 24-hour movement guidelines: a 15-year study among 167,577 Thai adults

Background

Time spent in physical activity (PA), sedentary behaviour (SB), and sleep always takes up the whole day. New public health guidelines combining recommendations for PA, SB, and sleep have been issued in several countries. Thailand was the first country to release the 24-h guidelines for adults. Currently, there is no evidence on the population prevalence of meeting 24-h movement guidelines in Thailand. This study, therefore, aimed to determine 15-year trends and associations of meeting 24-h movement guidelines among Thai adults.

Method

We analysed cross-sectional data from 2001, 2004, 2009, and 2015 Thai Time-Use Surveys, coded using the International Classification of Activities for Time-Use Statistics (ICATUS). All ICATUS-based activities were categorised into moderate-to-vigorous PA (MVPA), light PA (LPA), SB, and sleep based on a previously developed classification system. A total of 167,577 adult participants were included. The participants were classified according to the Thai 24-h movement guidelines into meeting or not meeting the following criteria: 1) ≥150 min/week of MVPA; 2) interrupting SB every 2 h; 3) sleeping 7–9 h per day; and 4) adhering to all three guidelines.

Results

In 2015, the prevalence of adults who met the MVPA, SB, sleep, and overall recommendations was 81.7, 44.6, 56.4, and 21.3%, respectively. A significant linear increase was found for the prevalence of meeting the SB recommendation, while the prevalence meeting the MVPA, sleep, and overall recommendations was lowest in 2001, peaked in 2004 or 2009, and declined in 2015. The lowest odds for meeting the 24-h guidelines were found among males, those living in urban areas, inhabitants of Bangkok and South Thailand, unemployed, and those with low education level.

Conclusions

Despite promising trends in the prevalence of meeting PA, SB, and sleep recommendations, a majority of Thai adults still do not meet the overall 24-h movement guidelines. Further actions are needed to promote more MVPA, less SB, and adequate sleep in Thai adults, particularly among males, those living in urban areas, inhabitants of Bangkok and South Thailand, unemployed, and those with low education level.

The Phenotype of Elderly Patients with Type 2 Diabetes Mellitus and Poor Sleep Quality

Background: Sleep disturbances are a common problem among patients with Type 2 diabetes mellitus (T2DM). The aim of the study was to identify the phenotype of T2DM patients with poor sleep quality. Methods: An observational, cross-sectional study was conducted between May 2013 and August 2015. One hundred and sixty consecutive patients with T2DM: 74 women and 86 men, with a median age of 69.50 years (59.00; 79.50 years) were enrolled in the study. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results: Poor sleep quality was noted in 85 (53%) patients. Sleep disorders were associated with older age, as well as female gender, longer duration of diabetes, lower level of fasting plasma glucose, glycated hemoglobin A1c, estimated glomerular filtration rate, triglycerides, waist-to-hip ratio, and the presence of nephropathy. A multivariate logistic regression revealed that sleep disorders were associated with older age (Odd Ratio (OR) = 1.11, 95% Confidence Interval (CI) 1.07–1.15). Fifty-one patients (31.87%) were treated with sleeping pills. We found that older age, female gender, longer duration of diabetes, lower level of fasting plasma glucose, glycated hemoglobin A1c, estimated glomerular filtration rate, triglycerides, and the presence of nephropathy were linked with more frequent usage of hypnotics. A multivariate logistic regression demonstrated that older age (OR = 1.09, 95% CI 1.05–1.14) and nephropathy (OR = 2.79, 95% CI 1.24–6.28) were associated with a more frequent receiving the hypnotics, whereas male gender (OR = 0.30, 95% CI 0.13–0.71) has less frequent hypnotics usage. Conclusion: Although, we assessed a wide range of patients’ characteristics, age had the most negative impact on the quality of sleep in patients with T2DM. We detected more frequent use of hypnotics in older females, with coexisting nephropathy.

Constrained choices: Combined influences of work, social circumstances, and social location on time-dependent health behaviors

BACKGROUND

Physical activity and sleep are two time-dependent behaviors with important health implications. The amount of time people have to engage in these behaviors may vary based on their everyday work, social circumstances (e.g., parenthood), and social location (e.g., gender).

AIMS

The current study aimed to explore the ways work, social circumstances, and social locations combine that lead to heterogeneity in the time-dependent health behaviors of physical activity and time spent in bed (i.e., sleep) among a young adult population. We drew upon two conceptual frameworks-Constrained Choices and an intersectionality perspective-and examined multiple work characteristics (e.g., number of jobs), social circumstances (e.g., household income), and social locations (e.g., U.S. nativity) relevant to young adulthood.

METHODS

2015-2016 data from a Minneapolis-St. Paul, U.S. cohort of 1830 young adults (25-36 years) were analyzed using conditional inference tree (CIT)-a data-driven approach which identifies population sub-groups that differ in their outcome values as well as in the interacting factors that predict outcome differences. Sensitivity analyses to evaluate CIT robustness were also performed.

RESULTS

CITs revealed four relevant sub-groups for physical activity (sub-group averages ranged = 2.9-4.9 h per week), with working mothers achieving the least activity, and six relevant sub-groups for time in bed (range = 7.8-8.7 h per day), with full-time working men obtaining the least. In both models, parent status and employment status/hours were found to consistently differentiate behavior among women but not men.

CONCLUSION

According to these data, time to engage in physical activity and time in bed was constrained by particular everyday contexts (work and parent status) and the extent to which these contexts mattered also depended on gender. If replicated in other studies, results suggest equitable strategies are necessary to assist all parents and workers in engaging in these time-dependent health behaviors for long-term health.

Association between work productivity and sleep health: A cross-sectional study in Japan

OBJECTIVES

To examine the impact of sleep health on work in Japan and to investigate the relationship between presenteeism and sleep health.

DESIGN

Cross sectional analysis of a questionnaire survey.

SETTING

Seventeen offices in Tokyo, Japan.

PARTICIPANTS

The study included 2897 participants, of which 1835 were men and 1062 women, aged between 18 and 76 years.

MEASUREMENTS

Productivity loss was measured using the Short Form of the Work Limitations Questionnaire (WLQ-SF).

RESULTS

The decline in productivity due to presenteeism of people with short sleep duration, between 5 and 6 h (β = 0.068, p = 0.004) and less than 5 h (β = 0.105, p < 0.001), was significantly greater compared with those with long sleep duration (7-8 h). Subjective sleep quality (β = 0.124, p < 0.001), sleep latency (β = 0.073, p < 0.001), sleep disturbance (β = 0.123, p < 0.001), use of sleep medication (β = 0.044, p = 0.007), and daytime dysfunction (β = 0.359, p = 0.001) significantly affected presenteeism. When adjusting for confounding factors, sleep duration on workdays, sleep duration on free days, mid-sleep on free days corrected for sleep debt on workdays (MSFsc), and social jet lag were not associated with presenteeism in the multiple regression analysis.

CONCLUSIONS

Sleep health is associated with presenteeism in Japan. Subjective sleep quality, daytime dysfunction, sleep disturbance, and use of sleep medicine are associated with presenteeism. Good sleep hygiene may be important for workers' productivity.

Sleep timing and duration in indigenous villages with and without electric lighting on Tanna Island, Vanuatu

It has been hypothesized that sleep in the industrialized world is in chronic deficit, due in part to evening light exposure, which delays sleep onset and truncates sleep depending on morning work or school schedules. If so, societies without electricity may sleep longer. However, recent studies of hunter-gatherers and pastoralists living traditional lifestyles without electricity report short sleep compared to industrialized population norms. To further explore the impact of lifestyles and electrification on sleep, we measured sleep by actigraphy in indigenous Melanesians on Tanna Island, Vanuatu, who live traditional subsistence horticultural lifestyles, in villages either with or without access to electricity. Sleep duration was long and efficiency low in both groups, compared to averages from actigraphy studies of industrialized populations. In villages with electricity, light exposure after sunset was increased, sleep onset was delayed, and nocturnal sleep duration was reduced. These effects were driven primarily by breastfeeding mothers living with electric lighting. Relatively long sleep on Tanna may reflect advantages of an environment in which food access is reliable, climate benign, and predators and significant social conflict absent. Despite exposure to outdoor light throughout the day, an effect of artificial evening light was nonetheless detectable on sleep timing and duration.

Associations of sleep durations and sleep-related parameters with metabolic syndrome among older Chinese adults

PURPOSE

There is a lack of data on the role of sleep in the development of metabolic syndrome (MetS) in older adults. We aimed to examine the associations of sleep durations at night and other sleep-related parameters with the presence of MetS in older Chinese adults.

METHODS

Data of 4579 individuals aged 60 years or older from the Weitang Geriatric Disease Study were analyzed. MetS was diagnosed based on the Adult Treatment Panel III (ATP III) criteria. Information regarding sleep durations and other sleep-related parameters was collected by questionnaires.

RESULTS

Compared with those with daytime napping, individuals without daytime napping were at an increased risk of MetS (odds ratio [OR] = 1.23; 95% confidence interval [CI] = 1.03-1.47). Each hour increase in daytime napping increased the risk of MetS by 33% (OR = 1.33; 95% CI = 1.15-1.52). After adjusting for the effect of age and gender, a J-shaped association between sleep durations at night and the presence of MetS was observed. The risk of MetS was lowest among those who slept 7-8 h at night. Gender-stratified analysis indicated that the J-shaped relationship between sleep durations at night and MetS remained significant in men but not in women.

CONCLUSIONS

In older Chinese adults, sleep durations at night might have a dual effect on the risk of MetS and this effect was particularly pronounced in men. The results indicated that circadian rhythm might play an important role in the development of MetS in older populations.

Predictor of sleep difficulty among community dwelling older populations in 2 African settings

Sleep deprivation is a common phenomenon among older population and is commonly linked to behavioral, physiological, and psychosocial factors. Not much is known about sleep deprivation among older population in Africa. Therefore, in this study we aimed to investigate the basic sociodemographic and psychosocial predictors of self-reported sleep deprivation among older population.In this study we analyzed cross-sectional data on 1495 community dwelling men and women aged 50 years and above. Data were collected from the SAGE Well-Being of Older People Study conducted in South Africa and Uganda. Outcome variable was self-reported sleep difficulty last 30 days. Multivariable logistic regression models were used to identify the variables significantly associated with sleep difficulty.The prevalence of mild-moderate sleep difficulty was 32.6% (27.9, 37.6) and severe/extreme 23.0% (20.3, 26.0) respectively. Multivariable analysis revealed that sleep difficulty was associated with several behavioral, environment, and illness conditions. In South Africa, those who reported dissatisfaction with living condition had 1.592 [1.087, 2.787] times higher odds of reporting mild/moderate sleep difficulty. Poor subjective quality of life (QoL) was associated with higher odds of severe/extreme sleep difficulties (odds ratios [OR] = 4.590, 95% confidence interval [CI] = 2.641, 7.977 for South Africa, and OR = 4.461, 95% CI = 2.048 and 9.716 for Uganda). In Uganda, perceived depression was associated with higher odds of severe/extreme (OR = 2.452, 95% CI = 1.073, 5.602) sleep difficulties among men, and both mild/moderate (OR = 1.717; 95% CI = 1.011, 2.914) and severe/extreme sleep difficulties among women (OR = 2.504, 95% CI = 1.408, 4.453).More than half of the participants had sleep difficulty of certain degrees, emphasising an urgent need for intervention for sleep deprivation in the population. Interventions targeting to promote subjective health, quality of life, and living environment may prove beneficial for improving sleep health in this regard.

Qualidade e duração de sono entre usuários da rede pública de saúde

Resumo Objetivo Avaliar a qualidade e tempo de sono entre usuários da rede pública de saúde e fatores associados. Métodos Estudo transversal, realizado com 775 indivíduos de ambos os sexos, em um município da região Centro-Oeste do Brasil. Aplicou-se questionário semiestruturado para avaliar as características sociodemográficas, os hábitos de vida, as condições de saúde, o binge drinking e qualidade e duração do sono, avaliadas pelo Índice de Qualidade de Sono de Pittsburgh. Aplicou-se a regressão de Poisson para identificação dos fatores associados à qualidade do sono ruim e à duração de sono (curta e longa). Resultados Na análise múltipla, os fatores associados à qualidade de sono ruim foram sexo feminino (razão de prevalência: 1,10; intervalo e confiança de 95% − IC95% 1,05-1,16; p<0,00), binge drinking (razão de prevalência: 1,08; IC95% 1,03-1,13; p<0,01), uso de substâncias ilícitas (razão de prevalência: 1.06, IC95% 1.00-1.12; p=0.03), angina (razão de prevalência: 1,10;, IC95% 1,03-1,18; p<0,01) e depressão (razão de prevalência: 1,07 IC95% 1,00-1,14; p=0,02). A obesidade associou-se à curta duração do sono (razão de prevalência: 1,10 IC95% 1,02-1,17; p<0,01). Idade > 55 anos associou-se à longa duração do sono (razão de prevalência: 1,39, IC95% 1,00-1,92; p=0,04). Conclusão Ser mulher, ter idade >55 anos, consumir bebida alcoólica, usar substâncias ilícitas, angina, obesidade e depressão foram fatores de risco para alterações na qualidade e duração de sono. Os resultados do presente estudo reforçam a necessidade do desenvolvimento de ações voltadas para a prevenção dos agravos relacionados às alterações no sono na população estudada.

Cross-cultural disparities of subjective sleep parameters and their age-related trends over the first three years of human life: A systematic review and meta-analysis

Changes in nighttime sleep consolidation and daytime discontinuation have been observed in early life. Yet information about societal or cultural factors remains scant for implementing sleep recommendations. We aimed to provide pooled estimates of subjective sleep duration, number of nightwakings and sleep timing; to describe their age-related trends; and to determine potential cross-cultural disparities between predominantly-Asian (PA) and predominantly-Caucasian (PC) regions during the first three years of life. We performed this review according to the PRISMA guidelines. Overall, 102 studies with 167,886 children aged 0-3 y from 26 different countries/regions were included. Compared to PC regions, PA toddlers had shorter sleep duration and more frequent nightwakings. When PC regions were further divided into Pacific Rim and Europe, differences were much more evident between PA and Pacific Rim for all nighttime sleep parameters. Trends of nighttime sleep duration and bedtime for PC regions showed rapid changes over the first 3-6 mo before stabilizing to a plateau, whereas a different change was found for PA regions. In conclusion, an apparent cross-cultural disparity of the subjective sleep parameters already exists in early childhood. Improved operationalization of sleep parameters and more objective evidence are needed to establish cultural-sensitive recommendations this early in life.