Sufficient Sleep Research Articles

Association between sleep duration and high blood pressure in Lithuanian adolescents

Abstract Background Sufficient sleep duration in children plays an essential role in physical, mental, and emotional development. High blood pressure (HBP) is growing public health problem in youth. The aim of this study was to evaluate the association between short sleep duration (SSD) and HBP in Lithuanian adolescents aged 11-18 years. Methods The cross-sectional study was conducted from 2019 to 2020 in Kaunas district, Lithuania. HBP was defined according to the 2017 AAP guidelines. Sleep duration was calculated from the time of going to bed to the time of waking up. SSD was defined as sleeping <8 h/day. Multivariate logistic regression was used to calculate aORs and 95% CI. Results The present analysis included 1368 subjects (723 boys and 645 girls) with a mean age of 13.96±1.76 years. Overall, the prevalence of HBP was 43.6% (51.3% for boys and 34.9% for girls). Overall, 21.7% of the subjects reported sleep duration of 7- < 8 h/day, and 11.3% - <7 h/day. In the total sample, after adjustment for sex, BMI, breakfast consumption, and parental smoking, significant associations were found between SSDs and HBP (7-<8 h/day: aOR=1.47; 95% CI, 1.12-1.95; P = 0.006, and <7 h/day: aOR=1.52; 95% CI, 1.05-2.20; P = 0.025), compared to subjects who were sleeping ≥8 h/day. In boys, after adjustment for potential confounders, SSDs were associated with higher odds of HBP (7-<8 h/day: aOR=1.94; 95% CI, 1.30-2.89; P = 0.001, and <7 h/day: aOR=2.35; 95% CI, 1.35-4.12; P = 0.003). There was no significant association between SSD and HBP among girls. Conclusions Our study showed that SSD was significantly associated with increased odds of HBP in Lithuanian adolescents, especially in boys. Public health strategies should focus more on prevention of modifiable cardiovascular disease risk factors. Key messages • Sufficient sleep duration is important for adolescents’ health and may contribute to reduce the risk of cardiovascular disease. • Future prospective studies are needed to confirm these findings.

O063 Objective Sleep Quality Metrics underlying next-day Sleep Quality Ratings in Adolescents

Abstract Introduction Good sleep quality is critical for good sleep health, but how sleep quality is defined remains uncertain; most defining it based solely on subjective or objective measures, and more recently, a combination of the two. PSG-derived sleep efficiency and WASO are linked to subjective sleep quality in healthy adults, but whether this is the same in adolescents (an age group notorious for not getting enough sleep), remains unknown. Aims To investigate which objective measures of sleep correlate with next-day ratings of sleep quality (primary outcome), sleep sufficiency, morning and daytime sleepiness, mood and concentration. Methods Seventy-one 16-17 y-olds (50% female) without anxiety/depression symptoms, completed a week of actigraphy and daily ratings of the subjective elements described above (469 days analysed). Statistical analyses used generalised estimating equation models. Results In unadjusted models, sleep quality showed significant within- and between-subject relationships with variables of sleep timing, amount, efficiency and variability. However after adjustment, total sleep time (TST) was the only metric that remained significant; for every 1 h less TST/night, teens were 1.56 (95%CI: 1.29, 1.88) times more likely to rate their sleep quality as poor rather than good. TST also correlated with daily mood ratings, and awakenings with morning sleepiness. No other significant relationships were found. Discussion The key sleep metric contributing to perceptions of sleep quality in adolescents was in fact one related to sleep quantity. Surprisingly, none of the sleep quality metrics used in sleep quality guidelines, linked to subjective ratings of sleep quality in this age group.

Quantile regression to explore association of sleep duration with depression among adults in NHANES and KNHANES

BackgroundSleep duration has been associated with depression. However, mean regression, such as linear regression or logistic regression, may not capture relationships that occur mainly in the tails of outcome distribution. This study aimed to evaluate the associations between sleep duration and depression along the entire distribution of depression using quantile regression approach. MethodsThis study included 55,954 adults aged 18 to 80 years from the National Health and Nutrition Examination Survey (N = 34,156) and the Korea National Health and Nutrition Examination Survey (N = 21,798). The coefficients corresponding to cross-group differences in PHQ-9 scores were estimated when comparing short or long sleep duration with normal sleep duration on deciles of PHQ-9 score distribution. ResultsAt lower quantiles, either short or long sleep duration was not associated with depression. At higher quantiles, the association of both short and long sleep duration with depression became much more pronounced. Compared with normal sleep duration, short and long sleep duration were associated with increases of 1.34 (95 % CI: 1.16, 1.51) and 0.28 (95 % CI: 0.04, 0.52) in PHQ-9 scores at the 50th quantile, while the corresponding increases were 3.27 (95 % CI: 2.83, 3.72) and 1.65 (95 % CI: 0.86, 2.45) at the 90th quantile, respectively. We also found that the magnitude of association between short sleep duration and depression was stronger among females and individuals with chronic diseases. ConclusionsThe beneficial effect of sufficient sleep in decreasing depression severity may be more evident among individuals with severe depression. Further studies could explore whether these heterogeneous associations can be generalized to populations with different characteristics.

Prevalence of high blood pressure and its associated factors among students in Shenyang, China: A cross-sectional study.

There is growing evidence that the prevalence of high blood pressure is increasing, and it may have serious consequences. However, research on the prevalence and influencing factors of high blood pressure among primary and secondary school students is still relatively scarce. This study aims to investigate the prevalence and influencing factors of high blood pressure among primary and secondary school students in Shenyang, in order to provide scientific evidence for the prevention and management of this disease. From April to May 2020, 4892 students aged 7 to 17 years were selected as the survey subjects, and on-site physical measurements and questionnaire surveys were conducted. The prevalence of high blood pressure was described. Restricted cubic spline was used to analyze the dose-response relationship between sleep duration, BMI and the risk of high blood pressure. Logistic regression was used to analyze the risk factors. Multiplicative and additive models were used to analyze the interaction between sleep duration and BMI. The results showed that the overall prevalence of high blood pressure among students aged 7 to 17 years in Shenyang was 9.9%, with a higher prevalence in females than males (12.1% vs 7.9%) and in urban areas than suburban areas (11.8% vs 7.7%). The prevalence was lowest in students with normal weight (8.3%) and highest in those who were obese (12.5%). The prevalence fluctuated to some extent among different age groups, but overall, it increased with age, with the lowest prevalence in primary school students (7.0%), 11.4% in mild school students, and the highest prevalence of 14.3% in high school students. Multivariable analysis showed that the risk of high blood pressure in female students was 1.90 times higher than that in male students (95% CI: 1.54-2.35), and the risk in suburban areas was 0.65 times lower than that in urban areas (95% CI: 0.52-0.81). Students with a BMI ≥ 21 kg/m2 had a 1.58 times higher risk than those with a BMI < 21 kg/m2(95% CI: 1.28-1.96), while those with a sleep time ≥ 8 hours had a 0.80 times lower risk than those with a sleep time < 8 hours (95% CI: 0.65-0.99). Exercise can significantly reduce the risk of high blood pressure, while using electronic devices for more than 0.5 hours significantly increases the risk of high blood pressure. BMI and sleep duration have no interaction effect on the risk of high blood pressure. To reduce the prevalence of high blood pressure, students should reduce the use of electronic devices, ensure adequate exercise, maintain a reasonable weight, and ensure sufficient sleep.

Daily variation in sleepiness among firefighters while working the 24/48 and 48/96 shift schedules

ObjectiveTo assess the daily relationship between prior-night total sleep time (TST) and next-day, afternoon sleep propensity among firefighters operating from two popular fire department shift schedules. MethodsDataset included 22 firefighters (24/48 shift schedule) and 20 firefighters (48/96 shift schedule). Daily TST was assessed using actigraphy and daily sleep propensity was assessed using the Epworth Sleepiness Scale (ESS), completed every afternoon. ResultsSeparate one-way repeated measures ANOVA indicated statistically significant differences among daily sleep propensity within each shift schedule. Separate Pearson product moment correlations indicated moderate relationships between prior-night TST and next-day, afternoon sleep propensity. ConclusionWhen firefighters slept less, sleep propensity the following day increased. Least TSTs occurred on nights prior to commuting suggesting firefighters likely begin shifts without sufficient sleep and drive home without sufficient sleep, then experience greatest sleep propensity.

Socio Economic Factors Associated with Prevalence of Non-Communicable Diseases Among Adults In Punjab, Pakistan

Background: Non-communicable diseases (NCDs) such as cardiovascular disease, cancer, chronic respiratory diseases, and diabetes are leading causes of global mortality and disability. Addressing the impact of NCDs aligns with sustainable development goals. Objective: The objective of this paper is to use individual data to investigate the risk factors for non-communicable diseases (NCDs) among adults in Pakistan. Study Design: Questionnaire-based cross-sectional study. Settings: A sample of 376 patients was selected using a single population proportion due to a lack of data. Participants were chosen through consecutive sampling in three cities: Sialkot, Faisalabad, and Layyah Pakistan. Duration: Over 14 months. Methods: Descriptive and multinomial logistic regression analyses were conducted to assess the relationship between various factors and the prevalence of specific non-communicable diseases (NCDs). Results: This study seeks to identify NCD determinants to inform effective prevention and intervention strategies. Age emerges as a primary predictor, with individuals aged 36–55 and above exhibiting higher odds of NCD prevalence than those under 35. Gender also matters, as females have a higher likelihood of NCDs. Urban living is linked to elevated NCD risk due to sedentary lifestyles. Income shows a positive association with NCD susceptibility, although it decreases at higher levels. Smoking, excessive caffeinated or carbonated drink consumption and eating out elevate NCD risk. Conversely, consuming fruits and vegetables, engaging in physical activity, and getting sufficient sleep lower susceptibility. A positive family NCD history increases the likelihood of experiencing NCDs. Conclusion: These findings underscore the need for comprehensive policy interventions to alleviate the NCD burden. Addressing modifiable risk factors like smoking and unhealthy diets is critical. Public awareness, community engagement, and regulatory measures are recommended. Collaborative efforts across sectors are essential for promoting health and preventing NCDs, while also addressing disparities and healthcare access. Overall, this study offers valuable insights for effective NCD combat strategies.

Sleep Disruptions in Hospitalized Adults Sustaining a Traumatic Brain Injury: A Scoping Review.

Adults sustaining a traumatic brain injury (TBI) are at risk of sleep disturbances during their recovery, including when such an injury requires hospitalization. However, the sleep-wake profile, and internal and external factors that may interfere with sleep initiation/maintenance in hospitalized TBI patients are poorly understood. This review aimed to: (1) identify/summarize the existing evidence regarding sleep and sleep measurements in TBI adults receiving around-the-clock care in a hospital or during inpatient rehabilitation, and (2) identify internal/external factors linked to poor sleep in this context. A scoping review was conducted in accordance with the PRISMA Scoping Review Extension guidelines. A search was conducted in MEDLINE, PsycINFO, CINAHL, and Web of Science databases. Thirty relevant studies were identified. The most common sleep variables that were put forth in the studies to characterize sleep during hospitalization were nighttime sleep time (mean = 6.5 hours; range: 5.2-8.9 hours), wake after sleep onset (87.1 minutes; range: 30.4-180 minutes), and sleep efficiency (mean = 72.9%; range: 33%-96%) using mainly actigraphy, polysomnography, and questionnaires (eg, the sleep-wake disturbance item of the Delirium Rating Scale or the Pittsburgh Sleep Quality Index). Twenty-four studies (80%) suggested that hospitalized TBI patients do not get sufficient nighttime sleep, based on the general recommendations for adults (7-9 hours per night). Sleep disruptions during hospitalization were found to be associated to several internal factors including TBI severity, cognitive status, and analgesia intake. External and modifiable factors, such as noise, light, and patient care, were consistently associated with sleep disruptions in this context. Although the literature on sleep disturbances in hospitalized TBI patients has been increasing in recent years, many gaps in knowledge remain, including phenotypes and risk factors. Identifying these factors could help clinicians better understand the multiple sources of TBI patients' sleep difficulties and intervene accordingly.

Five-year follow-up of a clinic-based sleep intervention for paediatric epilepsy: A randomized clinical trial.

Sleep disturbances in children with epilepsy are prevalent, and are associated with substantial adverse medical and psychosocial consequences. This study is a 5-year follow-up of a clinic-based sleep intervention study that randomized 100 toddlers and preschool-age children with epilepsy to a usual care group or a sleep intervention group. The intervention group received standard paediatric neurology care plus three education sessions during the child's routine clinic visit. The outcomes measured were: (1) child sleep by actigraphy and parental report; and (2) maternal sleep and depression. We aimed to evaluate the long-term benefits of a clinic-based sleep intervention for paediatric epilepsy. In total, 42 families (42.0%) participated. The average child's age at follow-up was 9.55 years. Thirty-eight (90.5%) children were not obtaining sufficient sleep at baseline, and 40 (95.2%) at the 5-year follow-up. The numbers of children with clinically significant sleep disturbances were 40 (95.2%) at baseline and 36 (85.7%) at the 5-year follow-up. Fourteen mothers (33.3%) had poor sleep quality and high depressive symptoms at both assessment time points. There were no differences (P > 0.05) in the child and maternal outcomes between the two trial arms. Overall, there was no evidence that a clinic-based sleep intervention that effectively improved multiple aspects of sleep in toddlers and preschool-age children with epilepsy had long-lasting beneficial effects. Our findings suggest that sleep interventions for families of children with epilepsy require ongoing reinforcement and monitoring during routine paediatric neurology care to prevent sleep problems from persisting or recurring.

The effect of exercise on the risk of metabolic syndrome associated with sleep insufficiency: a cross-sectional study.

Sleep disturbance and insufficient sleep have been linked to metabolic syndrome, increasing cardiovascular disease and mortality risk. However, few studies investigate the joint effect of sleep and exercise on metabolic syndrome. We hypothesized that regular exercise can mitigate the exacerbation of metabolic syndrome by sleep insufficiency. The aim of this study was to investigate whether exercise can attenuate or eliminate the relationship between sleep insufficiency and metabolic syndrome. A total of 6,289 adults (mean age = 33.96 years; women: 74.81%) were included in the study, a cross-sectional study conducted based on the results of employee health screening questionnaires and databases from a large healthcare system in central Taiwan. Participants reported sleep insufficiency or not. Self-reported exercise habits were classified into 3 levels: no exercise, exercise <150 min/week, and exercise ≧150 min/week. Multiple logistic regression and sensitivity analyses were conducted to understand the joint associations of sleep patterns and exercise with metabolic syndrome with exposure variables combining sleep duration/disturbances and PA. Compared with the reference group (sufficient sleep), individuals with sleep insufficiency had a higher risk for metabolic syndrome [adjusted odds ratio (AOR) = 1.40, 95% confidence interval (95% CI): 1.01-1.94, p < 0.05] in females aged 40-64 years, but not in other populations. Sleep insufficiency was not associated with the risk of metabolic syndrome among individuals achieving an exercise level of <150 min/week, and in particular among those achieving ≧150 min/week in all populations in our study. Sleep insufficiency was related to a higher risk of metabolic syndrome in female healthcare staff aged 40-64 years. Being physically active with exercise habits in these individuals, the risk of metabolic syndrome was no longer significant.

Lifestyle behaviour patterns in the prevention of type 2 diabetes mellitus: the Fukushima Health Database 2015–2020

ObjectivesLifestyle behaviours associated with the incidence of type 2 diabetes mellitus (T2DM) need further clarification using health insurance data. Study designThis is a cohort study. MethodsIn 2015, 193,246 participants aged 40–74 years attended the specific health checkups and were observed up to 2020 in Fukushima, Japan. Using the principal component analysis, we identified two patterns from ten lifestyle behaviour questions, namely, the “diet–smoking” pattern (including smoking, alcohol drinking, skipping breakfast, eating fast, late dinner, and snacking) and the “physical activity–sleep” pattern (including physical exercise, walking equivalent activity, walking fast, and sufficient sleep). Then, individual pattern scores were calculated; the higher the scores, the healthier the behaviours. ResultsThe accumulative incidence rate of T2DM was 630.5 in men and 391.9 in women per 100,000 person-years in an average of 4 years of follow-up. Adjusted for the demographic and cardiometabolic factors at the baseline, the hazard ratio (95% confidence interval) of the highest versus lowest quartile scores of the “diet–smoking” pattern for T2DM risk was 0.82 (0.72, 0.92; P for trend = 0.002) in men and 0.87 (0.76, 1·00; P for trend = 0.034) in women; that of the “physical activity–sleep” pattern was 0.92 (0.82, 1·04; P for trend = 0.0996) in men and 0.92 (0.80, 1·06; P for trend = 0.372) in women. The “physical activity–sleep” pattern showed a significant inverse association in non-overweight men. ConclusionsLifestyle behaviour associated with a healthy diet and lack of smoking may significantly lower the risk of T2DM in middle-aged Japanese adults.

Sleep duration in schooldays is associated with health-related quality of life in norwegian adolescents: a cross-sectional study

BackgroundInsufficient sleep is commonly reported in adolescence and is negatively associated with a wide range of health outcomes. A way to grasp the complicated challenge of how sleep impact different aspects of the adolescents´ everyday life is by examining the relationship between sleep duration in schooldays and weekends on different health-related quality of life (HRQOL) subscales. Furthermore, to expand the understanding of possible underlying mechanisms between sleep and HRQOL, testing for self-efficacy as a possible mediator is of importance.MethodsA cross-sectional study was performed among 696 adolescents aged 13–15 years from a school-based setting. All participants completed an electronic survey in their respective classrooms. The survey included demographic data, the School Sleep Habits Survey, the KIDSCREEN-27 questionnaire measuring HRQOL, and the General Perceived Self-Efficacy Scale. Statistical analyses were conducted using SPSS Statistics software including PROCESS macro by Andrew Hayes.ResultsOur findings revealed overall similar sleep patterns in boys and girls including longer sleep duration in the study sample during weekends (10:09 h) than in schooldays (08:36 h). Regression analyses revealed that sleep duration in schooldays was positively and statistically associated with HRQOL subscales psychological well-being (95% CI [0.44 to 1.33]), autonomy and parents (95% CI [0.12 to 1.06]), school environment (95% CI [0.47 to 1.40]), and self-efficacy (95% CI [0.01 to 0.47]). Sleep duration in weekends revealed no associations with the HRQOL subscales, except for the HRQOL subscale psychological well-being (95% CI [0.09 to 0.85]). Mediation analyses revealed that sleep duration in schooldays explained most of the associations (64 − 75%) in 4 out 5 HRQOL subscales, except in the association with the HRQOL subscale physical well-being revealing an indirect effect of 71.9%.ConclusionsThis cross-sectional study described sleep among Norwegian adolescents and demonstrated that sleep durations in weekends and schooldays impact HRQOL and self-efficacy, revealing overall better outcome in HRQOL and self-efficacy with sufficient sleep during schooldays. These findings support the regularity of sleep and highlight the importance of sufficient sleep during schooldays, especially in a school-based sample of adolescents.

Attitudes and beliefs about sleep health among a racially and ethnically diverse sample of overweight/obese adults

ObjectivesTo identify and compare how sleep-related attitudes and beliefs vary among racially and ethnically diverse adults with risk factors for cardio-metabolic disease. MethodsThis exploratory qualitative study used online focus group discussions (N = 4 groups among 17 individuals) to collect information about sleep attitudes, beliefs, and practices following participation in the Mindfulness Intervention to Improve Sleep and Reduce Diabetes Risk Among a Diverse Sample in Atlanta (MINDS) study. A rapid analyses approach was used to identify shared themes related to attitudes and beliefs about sleep health and sleep practices across participants. ResultsParticipants on average were 31years old, 88% female, and identified as Black/African American (52.9%), White (17.7%), Asian (11.8%), and Hispanic (17.7%). Three themes related to attitudes and beliefs about sleep health were identified: prioritization of sleep to improve one’s overall health, re-evaluating sleep needs, and interpersonal barriers to sleep. For Black/African American participants prioritizing sleep was coupled with a want to minimize stress as a long-term health promotion strategy, whereas individuals of other races/ethnicities were more focused on the immediate benefits of getting sufficient sleep. Individuals had reappraised their sleep needs and worked to improve their sleep hygiene accordingly, yet still experienced barriers to sleep. The most common barrier to sleep was sharing a sleep environment with someone who had conflicting sleep routines and practices. ConclusionThe results of this study suggest perceived benefits of and barriers to sleep vary by race/ethnicity, thus future interventions should be culturally tailored to enhance effectiveness.

취약계층의 디지털 바이오마커와 개인 행복의 관계

Background/Objectives: As part of a larger study on predicting the mental health status of the disadvantaged using digital biomarkers, this study investigated the relationship of digital biomarkers (e.g., amount of physical activity, smartphone overuse, and sleeping time collected via smartphones) with the personal happiness of the disadvantaged. Furthermore, it suggests application points for housing welfare field practice. Methods: Using the Dr FoRest smartphone application, this study collected data on five types of digital biomarker (i.e., GPS, GYRO, DATA, TOUCH, and SLEEP) from 192 participants recruited from two public permanent apartment complexes in November 2022. In addition, it conducted a questionnaire survey, including the Happiness Scale and sociodemographic information. We analyzed the relationship between digital biomarkers and personal happiness using a series of statistical analyses, including bivariate correlation and multiple regression analyses. Results: The major findings are as follows. First, digital biomarkers can predict happiness with relatively high explanatory power. Second, the study observed a tendency in which happiness increased with the increase in walking and sufficient sleep and the decrease in smartphone use. Third, the majority of the sociodemographic characteristics (e.g., gender, receipt type, disability status, degree of disability, and household size), except for age group, were not significantly associated with personal happiness. Conclusion/Implications: First, a system that can extend the use of digital biomarkers needs to be established. Second, investing in and expanding programs or facilities that can naturally increase physical activity and reduce smartphone use are necessary measures for enhancing personal happiness. Finally, improving quality of sleep through efforts to mediate or solve this issue by providing customized counseling programs or mediating relationships with neighbors are favorable interventions given the influence of sleep conditions on personal happiness.

Post COVID-19 Effect on Medical Staff and Doctors' Productivity Analysed by Machine Learning

The COVID-19 pandemic has profoundly affected the healthcare sector and the productivity of medical staff and doctors. This study employs machine learning to analyze the post-COVID-19 impact on the productivity of medical staff and doctors across various specialties. A cross-sectional study was conducted on 960 participants from different specialties between June 1, 2022, and April 5, 2023. The study collected demographic data, including age, gender, and socioeconomic status, as well as information on participants' sleeping habits and any COVID-19 complications they experienced. The findings indicate a significant decline in the productivity of medical staff and doctors, with an average reduction of 23% during the post-COVID-19 period. These results reflect the overall impact observed following the entire course of the COVID-19 pandemic and are not specific to a particular wave. The analysis revealed that older participants experienced a more pronounced decline in productivity, with a mean decrease of 35% compared to younger participants. Female participants, on average, had a 28% decrease in productivity compared to their male counterparts. Moreover, individuals with lower socioeconomic status exhibited a substantial decline in productivity, experiencing an average decrease of 40% compared to those with higher socioeconomic status. Similarly, participants who slept for fewer hours per night had a significant decline in productivity, with an average decrease of 33% compared to those who had sufficient sleep. The machine learning analysis identified age, specialty, COVID-19 complications, socioeconomic status, and sleeping time as crucial predictors of productivity score. The study highlights the significant impact of post-COVID-19 on the productivity of medical staff and doctors in Iraq. The findings can aid healthcare organizations in devising strategies to mitigate the negative consequences of COVID-19 on medical staff and doctors' productivity.

The restoration ability of a short nap after sleep deprivation on the brain cognitive function: A dynamic functional connectivity analysis.

The brain function impairment induced by sleep deprivation (SD) is temporary and can be fully reversed with sufficient sleep. However, in many cases, long-duration recovery sleep is not feasible. Thus, this study aimed to investigate whether a short nap after SD is sufficient to restore brain function. The data of 38 subjects, including resting state functional magnetic resonance imaging data collected at three timepoints (before SD, after 30 h of SD, and after a short nap following SD) and psychomotor vigilance task (PVT) data, were collected. Dynamic functional connectivity (DFC) analysis was used to evaluate changes in brain states among three timepoints, and four DFC states were distinguished across the three timepoints. Before SD, state 2 (a resting-like FC matrix) was dominant (48.26%). However, after 30 h SD, the proportion of state 2 dramatically decreased, and state 3 (still resting-like, but FCs were weakened) became dominant (40.92%). The increased proportion of state 3 positively correlated with a larger PVT "lapse" time. After a nap, the proportions of states 2 and 3 significantly increased and decreased, respectively, and the change in proportion of state 2 negatively correlated with the change in PVT "lapse" time. Taken together, the results indicated that, after a nap, the cognitive function impairment caused by SD may be reversed to some extent. Additionally, DFC differed among timepoints, which was also associated with the extent of cognitive function impairment after SD (state 3) and the extent of recovery therefrom after a nap (state 2).

Trends and cancer-specific patterns of physical activity, sleep duration, and daily sitting time among US cancer survivors, 1997-2018.

Physical activity, sufficient sleep, and limiting sedentary time may improve cancer survivorship. Utilizing US nationally representative samples from the National Health Interview Survey 1997-2018 and the National Health and Nutrition Examination Survey 2007-2018, this study investigated the trends of meeting physical activity guidelines, insufficient sleep duration, and sitting time in US cancer survivors (n = 58 527) and noncancer adults (n = 640 109). From 1997 to 2018, the prevalence of meeting physical activity guidelines was consistently lower in cancer survivors than in noncancer adults. Among cancer survivors, the prevalence of meeting physical activity guidelines increased from 34.9% (95% confidence interval [CI] = 33.1% to 36.8%) to 46.5% (95% CI = 45.0% to 48.1%) for aerobic (≥150 minutes per week at moderate intensity or 75 minutes per week at vigorous intensity), from 13.9% (95% CI = 12.8% to 15.1%) to 23.1% (95% CI = 21.8% to 24.4%) for muscle strengthening (≥2 days per week) activities, and from 9.5% (95% CI = 8.4% to 10.7%) to 17.9% (95% CI = 16.7% to 19.1%) for both combined (all Ptrend < .001). From 2004 to 2018, the prevalence of insufficient sleep duration (<7 hours per day) increased from 28.4% (95% CI = 26.3% to 30.5%) to 30.8% (95% CI = 29.3% to 32.2%) (Ptrend = .004). Daily sitting time increased from 6.09 hours per day (95% CI = 5.71 to 6.46 hours per day) in 2007-2008 to 7.36 hours per day (95% CI = 7.05 to 7.68 hours per day) in 2013-2014 and attenuated to 6.20 hours per day (95% CI = 5.74 to 6.65 hours per day) in 2017-2018. The pattern of physical activity, sleep, and sitting time varied by sex, race and ethnicity, body mass index, cancer type, and time since cancer diagnosis. More than half of US cancer survivors did not meet physical activity guidelines, and a large proportion had insufficient sleep duration and prolonged sitting time.

Effects of sleep duration, perceived organisational support and personal resilience on anxiety in non-hospitalised residents during the COVID-19 pandemic: a survey study in Ningbo, China

ObjectiveThis study assessed the association between sleep duration, perceived organisational support (POS), personal resilience and anxiety among non-hospitalised residents during the COVID-19 pandemic in Ningbo, China.MethodsIn this cross-sectional study, an...

To Nap or to Rest? The Influence of a Sixty-Minute Intervention on Verbal and Figural Convergent and Divergent Thinking

Background: The relationship between sleep and creativity is a topic of much controversy. General benefits of napping have been described not only in sleep-deprived individuals and in shift workers, but also in people with sufficient night sleep. However, only few studies have investigated the relationship between nap and creativity. Methods: Forty-two native German speakers (29 females, mean age = 24 years, SD = 3.3 years) took part in two experimental sessions (i.e., baseline and intervention). In both sessions, divergent and convergent verbal and figural creativity tasks were administered at the same time of the day. While the baseline session was identical for all the participants, in the second session participants were randomized into either a sixty-minute nap or a sixty-minute rest group. Results: No significant group differences were found for neither divergent nor convergent creativity thinking tasks, suggesting that the interventions had similar effects in both groups. Interestingly, the analysis of the pooled data (i.e., pooled nap and rest groups) indicated differential effects of figural versus verbal creativity tasks, such that significant post-intervention improvements were found for the figural, but not for the verbal divergent and convergent thinking tasks. Conclusions: While further studies are needed to confirm these findings, to the best of our knowledge, such a dissociation between performance of verbal and figural creativity tasks after nap/rest interventions has not been described to date.

Exploring the nexus between bedroom design and sleep quality in a warming climate

Bedrooms are important spaces that are often overlooked in the design of residential properties. The interior environment of bedrooms directly affects our sleep quality, which affects the quality of our lives and impacts productivity, health, and wellbeing. Insufficient sleep is a well-known problem in society, having significant negative consequences for health. This is compounded during heatwaves when it can be challenging to get sufficient sleep because of high night-time temperatures, especially in temperate climate zones with no tradition of mechanical cooling. A narrative review was used to explore the inter-relationship between sleep quality, bedroom design, indoor environmental quality (IEQ) and overheating. In addition to highlighting the different focus between health research and built environment research, the outcomes indicate that greater attention needs to be given to bedroom design in domestic properties. The originality of the findings relates to the need for evidence to help inform building designers to mitigate the effects of extreme heat on sleep quality, helping to improve resilience and the health of residents in a warming climate.

Associations between physical activity, screen time, sleep time and selected academic skills in 8/9-year-old children

BackgroundHigh levels of physical activity (PA), low levels of screen time, combined with sufficient sleep time, provide better health benefits. However, few studies have examined the association of these behaviours with academic skills. Therefore, this study aims to determine how PA, screen time, and sleep time are related to selected academic skills of 8/9-year-old children while examining compliance with the guidelines on PA, sedentary behaviour, and sleep among this population group.MethodsThis cross-sectional study included 114 primary school children (50% girls) aged 8–9years old from 2nd grade. The levels of PA, screen time, and sleep were assessed using self-reported questionnaires. The selected academic skills (based on reading and writing) were assessed by a battery of methods designed to diagnose the causes of school failure in students aged 7–9. Non-linear regression was applied to build multivariate models aimed at finding the most significant predictors for the selected academic skills separately.ResultsSixty-seven percent of children met the sleep guidelines, 22% met the screen time guidelines, and only 8% met PA guidelines. In terms of screen time, boys spent more time playing games than girls (p = .008). Moderate to vigorous intensity physical activity (MVPA) was associated with higher/better scores of the visual-auditory integration (B = -0.07, p = .040). Not meeting the sleep guidelines was associated with lower scores in visual-auditory integration among children (B = 0.12, p = .042). Children who did not meet the screen time guidelines had lower scores in perceptual-motor integration (B = -0.09, p = .040).ConclusionsParticipating in PA, limiting screen time and sufficient sleep time may benefit/support academic skills in children.