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A prospective study of sleep duration and coronary heart disease in women.

BACKGROUND: Long-term sleep deprivation is common in today's society. Recent experiments have demonstrated that short-term sleep deprivation in healthy subjects results in adverse physiologic changes, including a decreased glucose tolerance and an increased blood pressure. However, the long-term health consequences of long-term sleep deprivation are unclear. The objective of this study was to determine whether decreased sleep duration (from self-reports) is associated with an increased risk of coronary events. METHODS: We studied a cohort of 71 617 US female health professionals (aged 45-65 years), without reported coronary heart disease (CHD) at baseline, who were enrolled in the Nurses' Health Study. Subjects were mailed a questionnaire in 1986 asking about daily sleep duration. Subjects were followed up until June 30, 1996, for the occurrence of CHD-related events. We assessed the relationship between self-reported sleep duration and incident CHD. RESULTS: A total of 934 coronary events were documented (271 fatal and 663 nonfatal) during the 10 years of follow up. Age-adjusted relative risks (95% confidence intervals) of CHD (with 8 hours of daily sleep being considered the reference group) for individuals reporting 5 or fewer, 6, and 7 hours of sleep were 1.82 (1.34-2.41), 1.30 (1.08-1.57), and 1.06 (0.89-1.26), respectively. The relative risk (95% confidence interval) for 9 or more hours of sleep was 1.57 (1.18-2.11). After adjusting for various potential confounders, including snoring, body mass index, and smoking, the relative risks of CHD (95% confidence intervals) for individuals reporting 5 or fewer, 6, and 7 hours of sleep were 1.45 (1.10-1.92), 1.18 (0.98-1.42), and 1.09 (0.91-1.30), respectively. The relative risk (95% confidence interval) for 9 or more hours of sleep was 1.38 (1.03-1.86). CONCLUSION: Short and long self-reported sleep durations are independently associated with a modestly increased risk of coronary events.

Adult↗

Sleep duration and breast cancer: a prospective cohort study.

Breast cancer incidence has increased during recent decades for reasons that are only partly understood. Prevalence of sleeping difficulties and sleepiness has increased, whereas sleeping duration per night has decreased. We hypothesized that there is an inverse association between sleep duration and breast cancer risk, possibly due to greater overall melatonin production in longer sleepers. This population-based study includes information from women born in Finland before 1958. Sleep duration, other sleep variables, and breast cancer risk factors were assessed by self-administered questionnaires given in 1975 and in 1981. Breast cancer incidence data for 1976 to 1996 was obtained from the Finnish Cancer Registry. Hazard ratios (HR) and 95% confidence intervals (CI) were obtained from Cox proportional hazards models adjusting for potential confounders. Altogether, 242 cases of breast cancer occurred over the study period among the 12,222 women with sleep duration data in 1975. For these women, the HRs for breast cancer in the short (< or =6 hours), average (7-8 hours), and long sleep (> or =9 hours) duration groups were 0.85 (CI, 0.54-1.34), 1.0 (referent), and 0.69 (CI, 0.45-1.06), respectively. Analysis restricted to the 7,396 women (146 cases) whose sleep duration in 1975 and 1981 were in the same duration group (stable sleepers) yielded HRs of 1.10 (CI, 0.59-2.05), 1.0, and 0.28 (CI, 0.09-0.88), with a decreasing trend (P = 0.03). This study provides some support for a decreased risk of breast cancer in long sleepers.

Adult↗

Role of sleep duration and quality in the risk and severity of type 2 diabetes mellitus.

BACKGROUND: Evidence from laboratory and epidemiologic studies suggests that decreased sleep duration or quality may increase diabetes risk. We examined whether short or poor sleep is associated with glycemic control in African Americans with type 2 diabetes mellitus. METHODS: We conducted a cross-sectional study of volunteers with type 2 diabetes interviewed at the University of Chicago Hospitals, Chicago, Ill. The final analysis included 161 participants. Glycemic control was assessed by hemoglobin A1c (HbA1c) level obtained from medical charts. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Perceived sleep debt was calculated as the difference between preferred and actual weekday sleep duration. RESULTS: The mean +/- SD sleep duration was 6.0 +/- 1.6 hours, and 71% of the participants were classified as having poor quality sleep (PSQI score >5). We excluded patients with sleep frequently disrupted by pain (n = 39). In patients without diabetic complications, glycemic control was associated with perceived sleep debt but not PSQI score. The predicted increase in HbA1c level for a perceived sleep debt of 3 hours per night was 1.1% above the median. In patients with at least 1 complication, HbA1c level was associated with PSQI score but not perceived sleep debt. The predicted increase in HbA1c level for a 5-point increase in PSQI was 1.9% above the median. CONCLUSIONS: In our sample, sleep duration and quality were significant predictors of HbA1c, a key marker of glycemic control. Combined with existing evidence linking sleep loss to increased diabetes risk, these data suggest that optimizing sleep duration and quality should be tested as an intervention to improve glucose control in patients with type 2 diabetes.

Black People↗

Short sleep duration is associated with reduced leptin, elevated ghrelin, and increased body mass index.

BACKGROUND: Sleep duration may be an important regulator of body weight and metabolism. An association between short habitual sleep time and increased body mass index (BMI) has been reported in large population samples. The potential role of metabolic hormones in this association is unknown. METHODS AND FINDINGS: Study participants were 1,024 volunteers from the Wisconsin Sleep Cohort Study, a population-based longitudinal study of sleep disorders. Participants underwent nocturnal polysomnography and reported on their sleep habits through questionnaires and sleep diaries. Following polysomnography, morning, fasted blood samples were evaluated for serum leptin and ghrelin (two key opposing hormones in appetite regulation), adiponectin, insulin, glucose, and lipid profile. Relationships among these measures, BMI, and sleep duration (habitual and immediately prior to blood sampling) were examined using multiple variable regressions with control for confounding factors. A U-shaped curvilinear association between sleep duration and BMI was observed. In persons sleeping less than 8 h (74.4% of the sample), increased BMI was proportional to decreased sleep. Short sleep was associated with low leptin (p for slope = 0.01), with a predicted 15.5% lower leptin for habitual sleep of 5 h versus 8 h, and high ghrelin (p for slope = 0.008), with a predicted 14.9% higher ghrelin for nocturnal (polysomnographic) sleep of 5 h versus 8 h, independent of BMI. CONCLUSION: Participants with short sleep had reduced leptin and elevated ghrelin. These differences in leptin and ghrelin are likely to increase appetite, possibly explaining the increased BMI observed with short sleep duration. In Western societies, where chronic sleep restriction is common and food is widely available, changes in appetite regulatory hormones with sleep curtailment may contribute to obesity.

Adult↗

Impaired performance in commercial drivers: role of sleep apnea and short sleep duration.

Sleepiness plays an important role in major crashes of commercial vehicles. Because determinants are likely to include inadequate sleep and sleep apnea, we evaluated the role of short sleep durations over 1 wk at home and sleep apnea in subjective sleepiness (Epworth Sleepiness Scale), objective sleepiness (reduced sleep latency as determined by the Multiple Sleep Latency Test), and neurobehavioral functioning (lapses in performance, tracking error in Divided Attention Driving Task) in commercial drivers. Studies were conducted in 247 of 551 drivers at higher risk for apnea and in 159 of 778 drivers at lower risk. A multivariate linear association between the sets of outcomes and risk factors was confirmed (p < 0.0001). Increases in subjective sleepiness were associated with shorter sleep durations but not with increases in severity of apnea. Increases in objective sleepiness and performance lapses, as well as poorer lane tracking, were associated with shorter sleep durations. Associations with sleep apnea severity were not as robust and not strictly monotonic. A significant linear association with sleep apnea was demonstrated only for reduced sleep latency. The effects of severe apnea (apnea-hypopnea index, at least 30 episodes/h), which occurred in 4.7%, and of sleep duration less than 5 h/night, which occurred in 13.5%, were similar in terms of their impact on objective sleepiness. Thus, addressing impairment in commercial drivers requires addressing both insufficient sleep and sleep apnea, the former being more common.

Automobile Driving↗

Causal Effects of Gut Microbiota on Morning Chronotype, Insomnia and Sleep Duration: A Two-Sample Mendelian Randomization Study.

BACKGROUND: The gut microbiota has been shown to be closely associated with brain function; however, whether it exerts a causal influence on sleep traits remains to be further explored. Mendelian randomization (MR) is an emerging epidemiological approach that uses whole-genome sequencing data to infer causal relationships. In this study, we conducted a two-sample MR analysis to investigate the causal effects of gut microbiota on three domains of sleep traits: morning chronotype, insomnia, and sleep duration. METHODS: Single nucleotide polymorphisms strongly associated with 196 gut microbiota taxa were selected as instrumental variables. Morning chronotype, insomnia, and sleep duration were used as outcomes. MR and sensitivity analyses were performed to assess the causal relationships between gut microbiota and sleep traits. RESULTS: Three taxa (Bifidobacteriales, Bifidobacteriaceae, and Bifidobacterium) were negatively associated with morning chronotype, while Tyzzerella 3 showed a positive causal effect on morning chronotype. Oscillibacter was negatively associated with insomnia, whereas four taxa (Negativicutes, Selenomonadales, the Clostridium innocuum group, and Lachnoclostridium) were identified as risk-increasing factors for insomnia. Lentisphaerae and Victivallaceae were positively associated with sleep duration. Actinobacteria and Alistipes had negative effects on long sleep duration, whereas Ruminiclostridium 6 was positively associated with long sleep duration. Four taxa (Victivallales, Anaerofilum, Lentisphaerae, and Lentisphaeria) were negatively associated with short sleep duration. CONCLUSIONS: Our findings suggest that specific gut microbiota taxa may be positively or negatively associated with sleep traits. These results offer new insights into the potential role of gut microbiota in sleep regulation and provide a basis for future studies aimed at understanding whether modulating microbial composition could influence sleep health.

Mendelian randomization↗

Sleep duration, illumination, and activity patterns in a population sample: effects of gender and ethnicity.

BACKGROUND: Current knowledge of the population's sleep durations emanates primarily from questionnaires and laboratory studies. Using Actillumes, we investigated whether self-reported sleep durations were indicative of a population decline in sleep duration. We also explored illumination and activity patterns. METHODS: San Diego adults (n = 273, age range: 40-64) were recruited through random telephone calls and were monitored at home while engaging in usual daily routines. RESULTS: Volunteers slept an average of 6.22 hours and received an average of 554 lux (environmental illumination). The timing of sleep, illumination, and activity occurred at 2:44, 12:57, and 13:43, respectively. Irrespective of ethnicity, age, and time reference, men received greater illumination than did women, but this gender effect was not independent of work status. Women and men exhibited a similar circadian activity profile; however, women exhibited better sleep-wake patterns. Interactions between gender and ethnicity suggested worse sleep-wake patterns among minority men. An age-related decline in activity was found, but no age trend in sleep duration or illumination patterns was observed. CONCLUSIONS: This study showed an objective population decline in sleep duration. Sociodemographic effects should be considered in analyses of sleep-wake patterns and illumination exposures.

Adult↗

Sleep duration and its correlates in a sample of Saudi elementary school children.

INTRODUCTION: This study was conducted to estimate sleep duration in Saudi elementary school children, sleep habits and practices that may affect it, and compare our results to published data in other societies. METHODS: Parents of elementary school children were surveyed regarding their children's bedtime, rise time, sleep duration at night and daytime nap duration during weekdays and weekends. A questionnaire inquiring about demographical data, specific sleep problems and habits, and home environment was completed by the parents. RESULTS: The study comprised 511 (50.5 percent) boys and 501 (49.5 percent) girls. During weekdays, bedtime for the whole group was 21.3 +/- 1.8 hours, rise time was 5.9 +/- 0.5 hours, total sleep time (TST) was 8.4 +/- 1.1 hours, and TST and nap was 9.98 +/- 1.3 hours. Multivariate analysis revealed that TST was affected by regularity of bedtime, mother's level of education, daytime naps, and the habits of watching television (TV) and playing computer games after 20.00 hours. CONCLUSION: Nighttime sleep duration is shorter in Saudi school children compared to published data. Several factors appeared to affect sleep duration, including mother's educational level, daytime naps and watching TV at night.

Adolescent↗

Self-reported sleep duration as a predictor of all-cause mortality: results from the JACC study, Japan.

BACKGROUND: Epidemiologic studies have shown that habitual sleeping patterns are associated with all-cause mortality risk. However, sleep duration may be affected by physical, mental, or social conditions, and its impact on health may differ depending on the time or place. OBJECTIVES: To examine the effects of sleep duration on all-cause mortality after adjusting for several covariates, mental condition in particular. METHODS: A total of 104,010 subjects (43,852 men and 60,158 women), aged 40 to 79 years, who enrolled in the JACC Study (Japan Collaborative Cohort Study on Evaluation of Cancer Risk Sponsored by Monbusho) from 1988 to 1990 and were followed for an average of 9.9 years. Average sleep duration on weekdays and covariates, including perceived mental stress and depressive symptoms, were used in the analyses. Relative risks were calculated by Cox's proportional hazard model separately by sex. RESULTS: Men tended to sleep longer than women, and the elderly slept longer than younger subjects. Mean sleep duration was 7.5 hours for men and 7.1 hours for women; mode durations were 8 hours (range, 7.5-8.4 hours) and 7 hours (6.5-7.4), respectively. Sleep duration of shorter or longer than 7 hours was associated with a significantly elevated risk of all-cause mortality. However, the significant association with short sleep disappears when adjusted for some covariates among men. CONCLUSIONS: Sleep duration at night of 7 hours was found to show the lowest mortality risk.

Adult↗

Sleep duration, temperament, and Conners' ratings of three-year-old children.

Parental reports of sleep patterns, ratings on the Behavioral Style Questionnaire, and Conners' Abbreviated Parents' Questionnaire were obtained for 60 three-year-old children. Children who were more adaptable, mild, and positive in mood, or children with an easy temperament, had longer total sleep durations and lower Conners' ratings than children with opposite traits. Adaptability was the temperament characteristic most highly correlated with total sleep duration and the only characteristic which correlated with the number of night wakings. In addition, children with low activity ratings had long total sleep durations, low Conners' ratings, and were described as having a quiet sleep pattern. Long sleep durations and low Conners' ratings appear to be features of children with an easy temperament or low motor activity when awake and asleep.

Child Behavior↗

Habitual sleep durations and health in a 50-65 year old population.

Several studies have suggested that individuals with long or short sleep durations are at greater risk for adverse outcomes relative to individuals sleeping 7-8 hours a night. The mechanisms leading to these results have never been fully explained, but individual differences in how long an individual sleeps are usually considered to reflect lifestyle rather than disease. Alternatively, individuals may sleep a particular amount because of characteristics of their sleep physiology. In this study, we examined population-based data on the associations between sleep duration and several symptoms of sleep-related disease, reported snoring and daytime sleepiness. Results from 1877 independently living individuals between the ages of 50 and 65 years suggested that long, but not short, sleep durations were related to greater reported snoring. Higher levels of reported snoring and daytime sleepiness, but not habitual sleep duration, were related to measures of disease and lower psychosocial function. We suggest that future epidemiologic studies use such additional items as potential indicators of sleep-related disease.

Cardiovascular Diseases↗

Effects of timing of shifts on sleepiness and sleep duration.

This review summarizes the effects on sleep duration and sleepiness of (1) the timing of shifts (start and finishing times) and (2) the scheduling of free time between shifts. The results from the few studies available show that sleep duration is clearly determined by the change over time between the night and the morning shift-no more than 5 or 6 hours of sleep is obtained before the morning shift if the shift starts at 06.00 hours or earlier. Therefore, it is suggested that the morning shift should not start before 07.00 hours. A late start of the morning shift will however, increase the sleepiness at the end of the night shift, as well as decrease the duration of the daysleep after the night shift. On the other hand, one may argue that the short daysleep after a night shift may be compensated for by an evening nap, whereas a short night sleep before a morning shift cannot (no time for nap). The review of studies concerning free time between shifts suggests that at least 16 hours is needed and that quick change-overs should be avoided. The free time after a spell of night shifts should be at least 48 hours since the shiftworker needs two main sleep episodes to recover from night work.

Journal Article↗

Leptin levels are dependent on sleep duration: relationships with sympathovagal balance, carbohydrate regulation, cortisol, and thyrotropin.

Sleep plays an important role in energy homeostasis. The present study tests the hypothesis that circulating levels of leptin, a hormone that signals energy balance to the brain, are influenced by sleep duration. We also analyzed associations between leptin and sympathovagal balance, cortisol, TSH, glucose, and insulin under different bedtime conditions. Twenty-four-hour hormonal and glucose profiles were sampled at frequent intervals, and sympathovagal balance was estimated from heart rate variability in 11 subjects studied after 6 d of 4-h bedtimes (mean +/- sem of sleep duration during last 2 d: 3 h and 49 +/- 2 min) and after 6 d of 12-h bedtimes (sleep: 9 h and 03 +/- 15 min). A study with 8-h bedtimes was performed 1 yr later (sleep: 6 h and 52 +/- 10 min). Caloric intake and activity levels were carefully controlled in all studies. Mean levels, maximal levels, and rhythm amplitude of leptin were decreased (-19%, -26%, and -20%, respectively) during sleep restriction compared with sleep extension. The decrease in leptin levels was concomitant with an elevation of sympathovagal balance. The effects of sleep duration on leptin were quantitatively associated with alterations of the cortisol and TSH profiles and were accompanied by an elevation of postbreakfast homeostasis model assessment values. Measures of perceived stress were not increased during sleep restriction. During the study with 8-h bedtimes, hormonal and metabolic parameters were intermediate between those observed with 4-h and 12-h bedtimes. In conclusion, sleep modulates a major component of the neuroendocrine control of appetite.

Adult↗

Short sleep duration as a risk factor for hypertension: analyses of the first National Health and Nutrition Examination Survey.

Depriving healthy subjects of sleep has been shown to acutely increase blood pressure and sympathetic nervous system activity. Prolonged short sleep durations could lead to hypertension through extended exposure to raised 24-hour blood pressure and heart rate, elevated sympathetic nervous system activity, and increased salt retention. Such forces could lead to structural adaptations and the entrainment of the cardiovascular system to operate at an elevated pressure equilibrium. Sleep disorders are associated with cardiovascular disease, but we are not aware of any published prospective population studies that have shown a link between short sleep duration and the incidence of hypertension in subjects without apparent sleep disorders. We assessed whether short sleep duration would increase the risk for hypertension incidence by conducting longitudinal analyses of the first National Health and Nutrition Examination Survey (n=4810) using Cox proportional hazards models and controlling for covariates. Hypertension incidence (n=647) was determined by physician diagnosis, hospital record, or cause of death over the 8- to 10-year follow-up period between 1982 and 1992. Sleep durations of < or =5 hours per night were associated with a significantly increased risk of hypertension (hazard ratio, 2.10; 95% CI, 1.58 to 2.79) in subjects between the ages of 32 and 59 years, and controlling for the potential confounding variables only partially attenuated this relationship. The increased risk continued to be significant after controlling for obesity and diabetes, which was consistent with the hypothesis that these variables would act as partial mediators. Short sleep duration could, therefore, be a significant risk factor for hypertension.

Adult↗

Sleep duration and body mass index in a rural population.

BACKGROUND: A growing body of epidemiological evidence suggests an association between short sleep duration and obesity. Recently, potential hormonal links have been observed that may account for the relationship. The possible connection between sleep duration and body mass index (BMI) has not been explored in rural populations. Rural populations are of interest because obesity rates are high and lifestyle patterns of nutrition, physical activity, work hours, and sleep may differ from those in urban and suburban populations. We conducted this study to determine whether short sleep duration is related to BMI and obesity in a rural population in southeast Iowa. METHODS: We conducted a cross-sectional analysis of data collected in the Keokuk County Rural Health Cohort Study, 1999-2004. Study participants were from a population-based sample consisting of 990 employed adults in a rural community in southeastern Iowa. The main outcome measure was BMI. Multiple linear regression modeling was used to adjust for potential confounding variables. RESULTS: Self-reported sleep duration on weeknights was negatively correlated (beta = -0.42; 95% confidence interval, -0.77 to -0.07) with higher BMI after adjusting for sex, age, educational achievement, physical job demand, household income, depressive symptoms, marital status, alcohol consumption, and snoring. CONCLUSION: These data support an association between short sleep duration and higher BMI in this rural population, which is consistent with the relationship found in other settings.

Alcohol Drinking↗

Influence of overtime work, sleep duration, and perceived job characteristics on the physical and mental status of software engineers.

To investigate the impact of overtime work, sleep duration, and perceived job characteristics on physical and mental status, a cross-sectional study was conducted on 377 workers (average age; 28 years old) in an information-technology (IT) company, engaged in consultation, system integration solution, and data management relevant to IT system. The psychophysical outcomes of overtime work were assessed using the Hamilton Depression Scale (HDS), Profile of Mood Status (POMS), major physical symptoms, and overtime work data for the preceding three-months. Sleep duration was directly asked by a physician. A job strain index was defined as the ratio of job-demands to job-control scores evaluated using the Job Content Questionnaire (JCQ). In a univariate analysis, overtime work was significantly related with HDS scores, POMS anger-hostility scores, and the total physical symptom count in both sexes (all p < 0.05), but not in multiple regression models, after controlling for sleep duration and the job strain index. Sleep duration was negatively related to the symptom count in men and to POMS tension-anxiety scores in women (both p < 0.05); the job strain index was positively related to POMS anger-hostility scores in both sexes and to HDS scores and POMS tension-anxiety scores in men (all p < 0.05). Although overtime work was associated with physical and mental complaints, sleep duration and the job strain index seemed to be better indicators for physical and mental distress in overloaded workers.

Adult↗

Effects of SWS deprivation on subsequent EEG power density and spontaneous sleep duration.

In order to test predictions of the 2-process model of sleep regulation, the effects of slow wave sleep (SWS) deprivation by acoustic stimulation during the first part of the sleep period on EEG power density and sleep duration were investigated in 2 experiments. In the first experiment, 8 subjects were deprived of SWS during the first 5 h of a baseline nocturnal sleep period without awakening. Compared to the same interval of undisturbed sleep, power densities in the delta frequencies were attenuated. In the hour following SWS deprivation, power densities in the delta and theta frequencies were considerably enhanced in comparison with the same interval of undisturbed sleep. No change in sleep duration was observed. In the second experiment, 8 subjects were sleep deprived for 1 night and recovery sleep was initiated at 11 a.m. on 2 occasions. In 1 condition subjects were deprived of SWS during the first 3 h of recovery sleep. In the other condition recovery sleep was not experimentally disturbed. During undisturbed recovery sleep, power densities in the delta and theta frequencies were higher than during baseline sleep. During SWS deprivation, power densities in this frequency range were lower than during undisturbed recovery sleep. In the hour following SWS deprivation, power densities were enhanced relative to the same interval of undisturbed recovery sleep. Again, SWS deprivation did not cause an increase of sleep duration. The observed changes in EEG power density support the hypothesis that this EEG parameter reflects the homeostatic process S.(ABSTRACT TRUNCATED AT 250 WORDS)

Adult↗

Relationships of psychiatric disorders with sleep duration in an adult general population sample.

The objective was to explore psychiatric disorders as potential predictors of sleep duration. A cross-sectional survey study with a probability sample of residents of a northern German area was carried out. There were 4075 study participants, aged 18--64 years, with a participation rate of 70.2%. Face-to-face in-home computer-aided interviews (Composite International Diagnostic Interview) provided diagnoses of nicotine and alcohol dependence, alcohol abuse, depressive, anxiety and somatoform disorders according to the Diagnostic and Statistical Manual of the American Psychiatric Association (DSM-IV), and included questions about sleep duration. Results show that subjects with a short sleep duration of 5h or less had significantly increased odds ratios (OR) for current nicotine dependence (OR 1.9,; confidence interval, CI, 1.2--2.9), alcohol dependence (OR 2.6, CI 1.2--5.6), depressive disorder (OR 3.0, CI 1.7--5.4) or anxiety disorder (OR 2.1, CI 1.3--3.4) compared to individuals who never had the respective psychiatric disorder after adjustment for sex, age, and school education in a multinomial regression analysis. The conclusion is drawn that current nicotine or alcohol dependence, depressive, and anxiety disorders may add to short sleep duration in this random adult general population sample.

Adolescent↗