Middle childhood and adolescence sleep duration and behavior problems in adolescence

We examined the associations of middle childhood and adolescence nighttime sleep duration with adolescence internalizing and externalizing behavior problems per the Youth Self-Report (YSR) and the Child Behavior Checklist (CBCL) questionnaires, in a cohort of 889 Colombian schoolchildren. We estimated adjusted differences with 95% confidence intervals (CI) in mean behavior problem t-scores in standardized units between recommended sleep duration categories and as a continuous exposure using multiple linear regression and restricted cubic spline models, respectively. Compared with sleep duration within recommendations, middle childhood sleep above recommendations was related to 4.6 (95% CI: 1.6, 7.6; p = .004) and 5.4 (95% CI: 1.2, 9.7; p = .01) adjusted units higher YSR and CBCL externalizing problem scores, respectively. In continuous exposure analyses, this association seemed restricted to children aged ≥11 years. Longer sleep, both in categories and as a continuous exposure, was also associated with increased CBCL internalizing problems. Results did not differ by sex or weekend/weekday sleep. Sleeping under recommendations in middle childhood was not significantly related to behavior problems; nevertheless, shorter sleep in adolescence, in both categorical and continuous scales, was significantly related to behavior problems. In conclusion, behavior problems in adolescence are associated with longer sleep in middle childhood and shorter sleep in adolescence.

Association between dependency and long sleep duration among elderly people: a community-based study

BACKGROUND

Long sleep duration is a common sleep disorder among elderly people. Dependency increases with increasing age. This study aimed to assess the association between dependency and long sleep duration among elderly people.

METHODS

This study is a population-based cross-sectional study. A total of 1152 participants aged ≥ 60 years were selected from 26 locations in China by a complex multistage sampling design. Data were collected through face-to-face interviews. Sleep duration was measured using the Pittsburgh Sleep Quality Index. Dependency was assessed using Minnesota Multiphasic Personality Inventory-II. Hierarchical multiple linear regression analysis was used to evaluate the efficacy of sleep-related factors and psychological factors for sleep duration. Analysis of covariance and logistic regression analysis were performed to evaluate the association between the dependency score and sleep duration, and the strength of dependency effect on sleep duration.

RESULTS

A total of 1120 participants were valid for the analysis. Among them, 15.8% of participants had a dependency score ≥60 points. The results of hierarchical multiple linear regression analysis showed that sleep duration was positively associated with dependency scores. Analysis of covariance indicated a J-shaped association between dependency scores and sleep duration. The results of logistic regression analysis showed dependency was significantly associated with long sleep duration, and the odds ratio was 3.52 (95% CI, 1.87-6.63; P < 0.001).

CONCLUSION

Dependency was significantly associated with long sleep duration among elderly people. The results suggested that dependent intervention may be a strategy that needs urgent implementation to reduce long sleep duration among elderly people.

Long Sleep Duration and Stroke-Highly Linked, Poorly Understood

Stroke is one of the leading causes of disability and mortality. Both short and long sleep durations are associated with adverse health outcomes. Cross-sectional studies have shown an increased prevalence of stroke in long sleepers. Long sleep duration increases stroke incidence and mortality in prospective epidemiological studies. Accumulating evidence suggests that the magnitude of the association between sleep and stroke appears to be stronger for longer sleep than shorter sleep, yielding a J-shaped curve. Potential links between long sleep duration and stroke include increased incidence of diabetes and atrial fibrillation, elevated levels of inflammation, arterial stiffness, and blood pressure variability. Long sleep duration is a strong marker and a plausible risk factor for stroke and should be considered in future scoring for risk stratification and stroke prevention.

Long Sleep Duration Increases the Risk of All-Cause Mortality Among Community-Dwelling Older Adults With Frailty: Evidence From NHANES 2009-2014

Objectives: The aim of this study was to determine the effect of sleep duration on all-cause mortality among older adults with frailty. Methods: The prospective cohort study included 5705 community participants aged 60 or above in the National Health and Nutrition Examination Survey (NHANES). Health indicators were selected in the NHANES to obtain the frailty index and sleep duration. The risk of all-cause mortality was estimated by a Cox proportional hazard model. Results: During the follow-up, long sleep duration was associated with higher all-cause mortality (adjusted HR = 1.28, 95% CI 1.03-1.59). The hazard of all-cause mortality was the lowest from the beginning of sleep until sleep duration reached 5.8 hours among older adults with frailty. Discussion: Long sleep duration was associated with higher all-cause mortality among older adults with frailty. There was a U-shaped relationship between sleep duration and all-cause mortality.

Factors Related to Oversleeping in Korean Young Adults, with a Focus on Sociodemographic Factors

Young adults the year after high school experience changes in lifestyle and circumstances and tend to experience more oversleeping. However, there are few studies on oversleeping in young adults. This study aims to identify the sociodemographic factors related to oversleeping among young adults in Korea using nationally representative data. This study analyzed self-reported and cross-sectional data in 2016 from a sample of 1876 participants from the Korean Children and Youth Panel Survey, which included respondents one year after high school graduation. Oversleeping was defined as sleeping 9 or more hours a day on average. Logistic regression models were analyzed to test a multivariate association between independent sociodemographic variables and oversleeping. Over one-tenth of young adults reported oversleeping. Oversleeping was associated with household income (OR = 0.99, p = 0.011) and smoking (OR = 1.52, p = 0.041). In addition, when compared to non-working college students, college students who were working (OR = 2.58, p = 0.021), non-students who were working (OR = 1.68, p = 0.048), and non-students who were not working (OR = 3.07, p < 0.001) were more likely to report oversleeping. Oversleeping among young adults was associated with major sociodemographic factors including household income (-), smoking (+), and academic and working status (+). These findings suggest the significant role of sociodemographic factors as predictors of oversleeping and emphasize the importance of examining various factors to achieve a better understanding of oversleeping in young adults.

Association of sleep duration on workdays or free days and social jetlag with job stress

AIM

The aim of this study was to investigate the impact of sleep problems on job stress in office workers.

METHODS

This study included 4645 office workers from 29 companies who completed the study questionnaires between April 2017 and April 2019 in Japan. Sleep duration was assessed based on the participants' subjective sleep schedule on workdays and free days. The midpoint of sleep on free days (sleep-corrected) and social jetlag were calculated in accordance with the Munich Chronotype Questionnaire. To assess job stress, we used the 57-item Brief Job Stress Questionnaire.

RESULTS

Multivariate logistic regression analysis revealed that the following factors were significantly associated with high job stress in office workers: a sleep duration <6 h on workdays (OR = 1.77, 95% CI = 1.46-2.15, P < 0.001), a sleep duration <6 h on free days (OR = 1.40, 95% CI = 1.05-1.87, P = 0.022), a sleep duration of at least 8 h on free days (OR = 1.31, 95% CI = 1.06-1.60, P = 0.011), and more than 2 h of social jetlag (OR = 1.33, 95% CI = 1.04-1.70, P = 0.022).

CONCLUSION

This study suggests that insufficient sleep, long sleep durations on free days, and social jetlag may be associated with high job stress in office workers.

Long sleep duration predicts a higher risk of obesity in adults: a meta-analysis of prospective cohort studies

BACKGROUND

The connections between long sleep duration and obesity or weight gain warrant further examination. This meta-analysis aimed to evaluate whether long sleep duration was associated with the risk of obesity, weight gain, body mass index (BMI) change or weight change in adults.

METHODS

PubMed, Embase, Cochrane Library, Elsevier Science Direct, Science Online, MEDLINE and CINAHL were searched for English articles published before May 2017. A total of 16 cohort studies (n = 329 888 participants) from 8 countries were included in the analysis. Pooled relative risks (RR) or regression coefficients (β) with 95% confidence intervals (CI) were estimated. Heterogeneity and publication bias were tested, and sensitivity analysis was also performed.

RESULTS

We found that long sleep duration was associated with higher risk of obesity (RR [95% CI] = 1.04 [1.00-1.09], P = 0.037), but had no significant associations with weight gain, BMI change or weight change. Long sleep duration increased the risk of weight gain in three situations: among men, in studies with <5 years follow-up, and when sleep duration was 9 or more hours.

CONCLUSIONS

Long sleep duration was associated with risk of obesity in adults. More cohort studies with objective measures are needed to confirm this relationship.

Long Sleep Duration, Insomnia, and Insomnia With Short Objective Sleep Duration Are Independently Associated With Short Telomere Length

STUDY OBJECTIVES

We aimed to determine the association between short telomere length, sleep parameters, and sleep disorders in an adult general population sample.

METHODS

As part of the EPISONO cohort (São Paulo, Brazil), 925 individuals answered questionnaires, underwent a full-night polysomnography and clinical assessment, and had peripheral blood collected for DNA extraction. Insomnia was diagnosed based on the Diagnostic and Statistical Manual of Mental Disorders, 4th edition; and obstructive sleep apnea was defined according to apnea-hypopnea index. For the objective insomnia phenotype, we combined insomnia diagnosis with total sleep time from polysomnography with a cutoff of 360 minutes, allowing the classification of six groups. Self-reported sleep duration was used to classify the individuals as short (< 6 hours), average (6 to 8 hours) and long (> 8 hours) sleepers. The leukocyte telomere length was measured using quantitative real-time polymerase chain reaction. Based on its distribution, we considered leukocyte telomere length < 10th percentile as short telomere and leukocyte telomere length ≥ 10th percentile as non-short telomere.

RESULTS

After adjusting for sex, age, and body mass index, only insomnia disorder (odds ratio [OR] = 2.654, 95% confidence interval [CI] = 1.025-6.873, P = .044), insomnia disorder total sleep time < 360 minutes (OR = 4.205, 95% CI = 1.097-16.117, P = .036) and long sleepers (OR = 2.177, 95% CI = 1.189- 3.987, P = .012) were associated with short telomere.

CONCLUSIONS

Our findings support the existence of an association among insomnia, insomnia phenotype, and self-reported long sleep duration with the maintenance of telomere length.

COMMENTARY

A commentary on this article appears in this issue on page 1975.

Effect of aripiprazole on non-24-hour sleep-wake rhythm disorder comorbid with major depressive disorder: a case report

BACKGROUND

Patients with non-24-hour sleep-wake rhythm disorder (N24SWD) exhibit a sleep pattern that is asynchronous with the external light-dark cycle, typically involving a cycling, relapsing-remitting pattern of sleep disturbances, including nighttime insomnia and daytime sleepiness. Here, we report the case of a patient with N24SWD comorbid with major depressive disorder, who was successfully treated with a low dose of aripiprazole.

CASE PRESENTATION

A 47-year-old female presented with an 8-year complaint of difficulty falling asleep and waking up in the morning. The patient was diagnosed with major depressive disorder at the age of 35 years and was treated with various antidepressants since that time. At the age of 40 years, the patient's sleep-wake cycle began to extend without exacerbation of depressive symptoms. The patient was diagnosed with N24SWD at the age of 43 years. Ramelteon 8 mg/d and then melatonin 1 mg/d were administered, but these did not provide effective treatment. In January 2016, after treatment with aripiprazole 3 mg/d in the morning for 4 weeks, the patient's sleep-wake cycle became markedly synchronized to the environmental light-dark cycle. Her sleep-wake cycle remained synchronized when the same dose of aripiprazole was administered for at least 6 months.

CONCLUSION

Treatment-refractory asynchrony of the sleep-wake cycle in an N24SWD patient with depression was successfully treated with aripiprazole. Although the detailed mechanism of action is unclear, aripiprazole may be an appropriate treatment for patients with circadian rhythm sleep-wake disorders.

Prolonged sleep increases the risk of intracerebral haemorrhage: a nationwide case-control study

BACKGROUND AND PURPOSE

Although abnormal sleep duration is positively associated with increased risk for cardiovascular disease and mortality, the specific impact on intracerebral haemorrhage (ICH) risk remains unclear. The relationship between sleep duration and the risk of ICH was investigated in our study.

METHODS

A nationwide, multicentre matched case-control study was performed to investigate the risk factors for haemorrhagic stroke, using patients from 33 hospitals in Korea. In all, 490 patients with ICH and 980 age- and sex-matched controls were enrolled. Detailed information regarding sleep, sociodemographic factors, lifestyle and medical history before ICH onset was obtained using qualified structured questionnaires. Sleep duration was categorized and the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using a conditional logistic regression with 7 h as the reference duration.

RESULTS

The number of subjects with long sleep duration, more than 8 h, was significantly greater in the ICH group than in the control group (≥8 h, 30.4% vs. 22.6%, P = 0.002). After controlling for relevant confounding factors, longer sleep duration was found to be independently associated with the risk of ICH in a dose-response manner (8 h, OR 1.57, 95% CI 1.00-2.47; ≥9 h, OR 5.00, 95% CI 2.18-11.47).

CONCLUSIONS

Our study suggested that long sleep duration is positively associated with an increased ICH risk in a dose-dependent manner. Further studies on the relationship linking long sleep duration with increased risk of ICH are required.

Short and long sleep durations are both associated with increased risk of stroke: a meta-analysis of observational studies

BACKGROUND

There is uncertainty about the relationship between sleep duration and stroke risk.

AIM

We aimed to clarify the relationship between sleep duration and risk of stroke by using epidemiological evidence.

METHODS

We searched MEDLINE and EMBASE to identify all studies that might be looking at the association between sleep duration and stroke, including both cohort and cross-sectional studies. Pooled hazard ratios (HRs) and odds ratios (ORs) were calculated through a random-effects model.

RESULTS

Our study included a total of 12 cohort studies and 6 cross-sectional studies. Pooled results from the cohort studies showed that short sleep duration was associated with a higher risk for stroke [HR, 1.13; 95% confidence interval (CI) 1.02-1.25], and that long sleep duration also increases the risk of having a stroke (HR, 1.40; 95% CI, 1.16-1.64). Results from cross-sectional studies confirmed the relationship between stroke and inappropriate sleep duration, either too little sleep or too much. For short sleep duration, the OR was 1.71 (1.39-2.02); for long sleep duration, the OR was 2.12 (1.51-2.73).

CONCLUSION

Both short and long sleep durations have a significant association with higher risk of stroke.