Relationships of sleep duration with sociodemographic and health‐related factors,psychiatric disorders and sleep disturbances in a community sample of Korean adults

The aim of this study is to examine relationships of sleep duration with sociodemographic and health‐related factors, psychiatric disorders and sleep disturbances in a nationwide sample in Korea. A total of 6510 subjects aged 18–64 years participated in this study. Logistic regression was used to calculate the odd ratios and 95% confidence intervals of the covariates, psychiatric disorders and sleep disturbances across the following sleep duration categories: 5 h or less, 6, 7, 8 and 9 h or more per day. Low levels of education, unemployment and physical illness were associated with sleeping for 5 h or less and 9 h or more. Being older and widowed/divorced/separated, high levels of physical activity, pain/discomfort, obesity and high scores on the General Health Questionnaires were associated with sleeping for 5 h or less. Female, being younger and underweight were associated with sleeping for 9 h or more. Alcohol dependence, anxiety disorder and social phobia were associated significantly with sleeping for 5 h or less and 9 h or more. Other psychiatric disorders were more common in subjects who slept for 5 h or less (e.g. alcohol use disorder, mood disorder, major depressive disorder, dysthymic disorder, obsessive‐compulsive disorder and specific phobia) or 9 h or more (e.g. post‐traumatic stress disorder). In addition, subjects who slept for 5 h or less reported more sleep disturbances than did subjects who slept for 7 h. Short or long sleep is associated with psychiatric disorders and/or sleep disturbance, therefore attention to the mental health of short or long sleepers is needed.     

Sleep complaints associated with wish to die after a suicide crisis—an exploratory study

The present study explores whether sleep concerns are associated with wish to die throughout a 1‐month time interval following a suicide crisis. Sixty‐eight patients admitted to the emergency department of a general or psychiatric hospital were enrolled. Sleep difficulties were assessed using the Insomnia Severity Index (ISI), the Epworth Sleepiness Scale, self‐reported satisfaction with sleep and time in bed. Suicidal ideation was assessed through the presence of a wish to die at 1 month following a suicide crisis. Co‐existing psychiatric diagnoses were assessed using the French version of the Mini International Neuropsychiatric Interview (MINI). Potential covariate factors such as personal and family history of suicidal behaviours and sociodemographic variables were accounted for. We found that wish to die was associated significantly with insomnia severity, low satisfaction with sleep and sleep duration 1 month after the suicide crisis, even after controlling for covariates. This exploratory study is limited by a small sample size, and results cannot be generalized to patients with psychotic disorders or alcohol use disorders. Also, other factors related potentially to suicidal ideation, such as depression severity, stressful events or levels of family support, were not accounted for. However, overall our study supports the assessment of sleep complaints as a potential indicator of suicide risk in the weeks that follow a suicide crisis.     

Sleep disturbances as a predictor of occupational injuries among public sector workers

The association between disturbed sleep and increased risk of occupational injury has been observed in several cross-sectional and case–control studies, but prospective evidence is lacking. We examined prospectively whether sleep disturbances predicted occupational injuries in a large population of Finnish public sector employees. A total of 48 598 employees working in 10 municipalities and 21 hospitals in various parts of Finland were included. Sleep disturbances were assessed with the four-item Jenkins Sleep Problems Scale. Records of sickness absence due to occupational injury during the year following the survey were obtained from employers' registers. A proportion (9076; 22%) of participants reported disturbed sleep, and 978 (2.4%) had a recorded occupational injury. After adjustment for socio-demographic characteristics, the odds ratio (OR) for occupational injury was 1.38 [95% confidence interval (CI) 1.02–1.87] times higher for men with experiences of disturbed sleep than for those without sleep disturbances, but not significant for women. Of the sub-dimensions of sleep disturbances, the OR for occupational injury was 1.69 (95% CI 1.26–2.26) for women with difficulties initiating sleep, but not significant for men. These associations remained after additional adjustment for work stress, sleep length, obesity, alcohol use and mental health. This study suggests that sleep disturbances are a significant predictor of occupational injuries even after accounting for a range of covariates.     

Racial/ethnic disparities in sleep duration and sleep disturbances among pregnant and non‐pregnant women in the United States

Sleep disturbances among pregnant women are increasingly linked to suboptimal maternal/birth outcomes. Few studies in the USA investigating sleep by pregnancy status have included racially/ethnically diverse populations, despite worsening disparities in adverse birth outcomes. Using a nationally representative sample of 71,644 (2,349 pregnant) women from the National Health Interview Survey (2004–2017), we investigated relationships between self‐reported pregnancy and six sleep characteristics stratified by race/ethnicity. We also examined associations between race/ethnicity and sleep stratified by pregnancy status. We used average marginal predictions from fitted logistic regression models to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) for each sleep dimension, adjusting for sociodemographic and health characteristics. Pregnant women were less likely than non‐pregnant women to report short sleep (PR_Overall = 0.75; 95% CI, 0.68–0.82) and more likely to report long sleep (PR_Overall = 2.06; 95% CI, 1.74–2.43) and trouble staying asleep (PR_Overall = 1.34; 95% CI, 1.25–1.44). The association between pregnancy and sleep duration was less pronounced among women aged 35–49 years compared to those <35 years. Among white women, sleep medication use was less prevalent among pregnant compared to non‐pregnant women (PR_White = 0.45; 95% CI, 0.31–0.64), but this association was not observed among black women (PR_Black = 0.98; 95% CI, 0.46–2.09) and was less pronounced among Hispanic/Latina women (PR_{Hispanic/Latina} = 0.82; 95% CI, 0.38–1.77). Compared to pregnant white women, pregnant black women had a higher short sleep prevalence (PR_Black = 1.35; 95% CI, 1.08–1.67). Given disparities in maternal/birth outcomes and sleep, expectant mothers (particularly racial/ethnic minorities) may need screening followed by treatment for sleep disturbances. Our findings should be interpreted in the historical and sociocultural context of the USA.     

Reciprocal relations between work stress and insomnia symptoms: A prospective study

Work stress and poor sleep are closely related in cross‐sectional data, but evidence from prospective data is limited. We analysed how perceived stress and work stressors (work demands, decision authority and workplace social support) are related to key dimensions of insomnia over time, using structural equation modelling. Biennial measurements from a large sample of the working population in Sweden enabled us to analyse both the relationship from stress to sleep as well as that from sleep to stress. Overall, we found reciprocal relations between insomnia and all four stress measures. However, looking at the relation between each dimension of insomnia and each stress measure, there were some differences in direction of effects. In the direction from stress to sleep, all work stressors as well as perceived stress predicted both difficulties initiating sleep and difficulties maintaining sleep. The same was found for non‐restorative sleep, with the exception for decision authority. In the opposite direction, difficulties maintaining sleep predicted increased levels of work demands and perceived stress. Difficulties initiating sleep stood out among the insomnia symptoms as not predicting any of the stress measures, while non‐restorative sleep was the only symptom predicting all stress measures. The results advance the understanding of the stress?sleep relationship and indicate a potential vicious circle between insomnia and perceived stress as well as work stressors, suggesting that the workplace could be an arena for interventions to alleviate insomnia.     

Simplified sleep restriction for insomnia in general practice: a randomised controlled trial

Background

Insomnia is common in primary care. Cognitive behavioural therapy for insomnia (CBT-I) is effective but requires more time than is available in the general practice consultation. Sleep restriction is one behavioural component of CBT-I.

Aim

To assess whether simplified sleep restriction (SSR) can be effective in improving sleep in primary insomnia.

Design and setting

Randomised controlled trial of patients in urban general practice settings in Auckland, New Zealand.

Method

Adults with persistent primary insomnia and no mental health or significant comorbidity were eligible. Intervention patients received SSR instructions and sleep hygiene advice. Control patients received sleep hygiene advice alone. Primary outcomes included change in sleep quality at 6 months measured by the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and sleep efficiency (SE%). The proportion of participants reaching a predefined ‘insomnia remission’ treatment response was calculated.

Results

Ninety-seven patients were randomised and 94 (97%) completed the study. At 6-month follow-up, SSR participants had improved PSQI scores (6.2 versus 8.4, P<0.001), ISI scores (8.6 versus 11.1, P = 0.001), actigraphy-assessed SE% (difference 2.2%, P = 0.006), and reduced fatigue (difference −2.3 units, P = 0.04), compared with controls. SSR produced higher rates of treatment response (67% [28 out of 42] versus 41% [20 out of 49]); number needed to treat = 4 (95% CI = 2.0 to 19.0). Controlling for age, sex, and severity of insomnia, the adjusted odds ratio for insomnia remission was 2.7 (95% CI = 1.1 to 6.5). There were no significant differences in other outcomes or adverse effects.

Conclusion

SSR is an effective brief intervention in adults with primary insomnia and no comorbidities, suitable for use in general practice.     

The Sleep Disturbance Scale for Children (SDSC) Construct ion and validation of an instrument to evaluate sleep disturbances in childhood and adolescence

SUMMARY To attempt a categorization of sleep disorders in children, we developed a 27 item Likert-type rating scale (Sleep Disturbance Scale for Children: SDSC) and assessed the psychometric properties was developed. The scale was distributed to the mothers of 1304 children (1157 controls, mean age 9.8y; 147 sleep disorder subjects, mean age 9.2y, composed of four clinical groups: Insomnia 39 subjects, Hypersomnia 12 subjects, Respiratory disturbances during sleep 25 subjects and Parasomnias 71 subjects). The internal consistency was high in controls (0.79) and remained at a satisfactory level in sleep disorder subjects (0.71); the test/retest reliability was adequate for the total (r = 0.71) and single item scores. The factor analysis (variance explained 44.21%) yielded six factors which represented the most common areas of sleep disorders in childhood and adolescence. Enuresis was the only item with a factor loading lower than 0.40 and with a low inter-item correlation and was therefore eliminated, resulting in a final scale of 26 items. The re-evaluation of the sample, using the factor scores, supported the validity and the discriminating capacity of the scales between controls and the four clinical groups. The correlation between factor scores corroborated the hypothesis that childhood sleep disturbances are not independent entities nor do they cluster into different groupings related to each other. The SDSC appears to be a useful tool in evaluating the sleep disturbances of school-age children in clinical and non-clinical populations.     

Sleep latency testing as a time course measure of state arousal

The purpose of this study was to determine how long the effects of a brief period of physiological arousal persisted using repeated sleep latency testing and measurement of heart rate. Thirteen normal sleeping young adults spent two non-consecutive nights and the following days in the laboratory. On each day, subjects had five sleep latency measurements - at 09:00, 09:30, 10:00, 10:30, and 11:00 hours. The 09:00 test was a premanipulation baseline. Following this nap, subjects either walked for 5 min (on one day) or rested in bed for 10 min (on another day) prior to the 09:30 hours sleep latency test. Significant increases in sleep latency were found at 09:30, 10:00, and 11:00 hours following the single 5-min walk as compared with resting in bed (mean sleep latency after the walk was 11.7 min compared with 7.1 min for the resting condition). Heart rate was significantly higher throughout all of the postmanipulation naps following the walk. The elevated sleep latency is probably secondary to the changes in underlying physiological arousal as measured in this study by heart rate.     

Sleep quality and the risk of work injury: a Swiss case–control study

Sleep problems are a well‐known risk factor for work injuries, but less is known about which vulnerable populations are most at risk. The aims of this study were to investigate the association between sleep quality and the risk of work injury and to identify factors that may modify the association. A case–control study including 180 cases and 551 controls was conducted at the University Hospital in Basel, Switzerland, from 1 December 2009 to 30 June 2011. Data on work injuries and sleep quality were collected. Adjusted odds ratios and 95% confidence intervals of the association between sleep quality and work injury were estimated in multivariable logistic regression analyses and were stratified by hypothesized effect modifiers (age, gender, job risk, shift work, sleep duration and working hours). Poor sleep quality was associated significantly with work injury of any type (P < 0.05) and with being caught in particular (P < 0.05). The association between poor sleep quality and work injury was significantly higher for workers older than 30 years (odds ratio_>30 1.30 versus odds ratio_≤30 0.91, P < 0.01), sleeping 7 h or less per night (odds ratio_≤7 1.17 versus odds ratio_>7 0.79, P < 0.05) and working 50 h or more per week (odds ratio_≥50 1.79 versus odd ratio_<50 1.10, P < 0.01). Work injury risk increased with increasing severity of sleep problems (P < 0.05). Prior work injury frequency increased with decreasing sleep quality (P < 0.05). Older age, short sleep duration and long working hours may enhance the risk of work injuries associated with sleep quality.     

Insomnia,Depression, and Physical Disorders in Late Life: A 2-year Longitudinal Community Study in Koreans

Study Objectives:

To investigate prevalence, incidence, and persistence of insomnia, and their bidirectional longitudinal associations with depression and physical disorders.

Design:

A community based longitudinal study.

Setting:

Elders living in private households in South Korea.

Participants:

1204 people ≥ 65 years of age were evaluated at baseline; 909 of them (75%) were re-interviewed after 2 years.

Measurements and Results:

Insomnia was defined as difficulty in initiation or maintenance of sleep ≥ 3 nights per week over the last month. Diagnosis of depression (Geriatric Mental State) and number of physical disorders were ascertained. Sociodemographic and clinical covariates included age, gender, education, housing, past occupation, current employment, living area, life events, social deficit, physical activity, cognitive impairment, anxiety, and daily drinking. Of those (27%) with insomnia at baseline, 40% had insomnia at follow-up. Of those without insomnia at baseline, 23% had insomnia at follow-up. Baseline depression was significantly associated with prevalence and incidence of insomnia. Baseline number of physical disorders was significantly associated with prevalence, incidence, and persistence of insomnia. Baseline insomnia was independently associated with incident depression and an increase in reported physical disorders.

Conclusions:

Insomnia was common and often persistent in this population. Insomnia was closely and reciprocally related to depression and physical disorders.

Citation:

Kim JM; Stewart R; Kim SW; Yang SJ; Shin IS; Yoon JS. Insomnia, depression, and physical disorders in late life: a 2-year longitudinal community study in Koreans. SLEEP 2009;32(9):1221-1228.     

主诉失眠的门诊就诊者主客观评估的睡眠质量与生命质量

目的:失眠者的主观睡眠感与实际睡眠情况常有不一致的现象,本研究通过探讨以失眠为主诉的门诊就诊者睡眠质量的主观、客观评估指标与生命质量的相关性,为临床制定失眠的整体治疗方案提供参考依据。方法:连续收集64例以失眠为主诉的接受多导睡眠图(PSG)检查的门诊患者的资料,用匹兹堡睡眠质量指数(PSQI)评估主观睡眠质量,SF-36健康调查量表评估生命质量,用贝克抑郁问卷(BDI)、贝克焦虑问卷(BAI)评估情绪状态。以17例正常人的PSG数据作为客观睡眠质量的基础对照。结果:本组失眠就诊者90%主观评价睡眠质量差,其PSG指标中与正常对照相比睡眠潜伏期延长、清醒次数增加、睡眠效率降低、快动眼睡眠潜伏期延长(均P<0.05)。失眠就诊者PSQI总分与SF-36生理健康总分呈负相关(r=-0.25,P<0.05),但以BDI、BAI分作为控制变量进行偏相关分析显示,PSQI总分及各因子分与SF-36生理健康和心理健康总分相关性无统计学意义;PSG主要指标与SF-36生理健康和心理健康总分相关性无统计学意义。结论:本研究显示失眠者主观感受的睡眠质量更可能与生命质量相关,但与失眠相关的抑郁、焦虑情绪可能起到主要作用,这提示失眠治疗中应重视改善患者的主观睡眠质量,以及识别和处理情绪问题。     

Adherence to Technology-Mediated Insomnia Treatment: A Meta-Analysis,Interviews, and Focus Groups

Background

Several technologies have been proposed to support the reduction of insomnia complaints. A user-centered assessment of these technologies could provide insight into underlying factors related to treatment adherence.

Objective

Gaining insight into adherence to technology-mediated insomnia treatment as a solid base for improving those adherence rates by applying adherence-enhancing strategies.

Methods

Adherence to technology-mediated sleep products was studied in three ways. First, a meta-analysis was performed to investigate adherence rates in technology-mediated insomnia therapy. Several databases were queried for technology-mediated insomnia treatments. After inclusion and exclusion steps, data from 18 studies were retrieved and aggregated to find an average adherence rate. Next, 15 semistructured interviews about sleep-support technologies were conducted to investigate perceived adherence. Lastly, several scenarios were written about the usage of a virtual sleep coach that could support adherence rates. The scenarios were discussed in six different focus groups consisting of potential users (n=15), sleep experts (n=7), and coaches (n=9).

Results

From the meta-analysis, average treatment adherence appeared to be approximately 52% (95% CI 43%-61%) for technology-mediated insomnia treatments. This means that, on average, half of the treatment exercises were not executed, suggesting there is a substantial need for adherence and room for improvement in this area. However, the users in the interviews believed they adhered quite well to their sleep products. Users mentioned relying on personal commitment (ie, willpower) for therapy adherence. Participants of the focus groups reconfirmed their belief in the effectiveness of personal commitment, which they regarded as more effective than adherence-enhancing strategies.

Conclusions

Although adherence rates for insomnia interventions indicate extensive room for improvement, users might not consider adherence to be a problem; they believe willpower to be an effective adherence strategy. A virtual coach should be able to cope with this “adherence bias” and persuade users to accept adherence-enhancing strategies, such as reminders, compliments, and community building.     

Psychosocial work characteristics,sleep disturbances and risk of subsequent depressive symptoms: a study of time‐varying effect modification

Job strain and low social support at work are recognized risk factors for depression. However, people with poor sleep may represent a high‐risk group more likely to benefit from interventions against work stress. The present study examined whether the associations between these work stressors and depressive symptoms differed by strata of sleep disturbances (effect modification/effect moderation) considering repeat measures of work characteristics and sleep. The study was based on five biennial measurements of the Swedish Longitudinal Occupational Survey of Health, including 1537 respondents recurrently in paid work, from an originally representative sample of the Swedish working population. High work demands, low decision authority and low social support were measured waves 2 and 4, sleep disturbances (putative moderator/modifier) waves 1 and 3, and depressive symptoms (outcome) wave 5. Causal effect modification, whether the effect of working conditions differed by strata of sleep disturbances, was analysed by structural nested mean modelling estimated using a regression‐with‐residuals with inverse‐probability‐of‐treatment weighting approach. High demands and low social support, but not low decision authority, influenced subsequent depressive symptoms. The relationship between social support and depressive symptoms was not apparently modified by sleep disturbances. However, disturbed sleep wave 3 modified the effect of high demands wave 4 (coefficient 1.77, P < 0.05) on depressive symptoms wave 5. The results indicate that high job demands is a stronger risk factor for depressive symptoms in people with pre‐existing sleep disturbances, suggesting that targeted workplace interventions may be more effective when it comes to preventing negative effects of job demands.     

Self-help treatment for insomnia through television and book: a randomized trial

Objective

Recently, a Dutch educational broadcasting company developed a 6 week self-help course for insomnia, which consists of a book and television programmes. In this study we examined its effects.

Methods

247 subjects with sleep problems were recruited through the media and randomized to the self-help treatment (n = 126) or a waiting list control group (n = 121). The intervention group received the book, and for 6 consecutive weeks a DVD or videotape. Subjects were assessed before and after the course.

Results

Both groups improved significantly with respect to sleep but there were no significant differences in improvements between the groups. However, the intervention group improved significantly more on secondary outcomes: the subjective evaluation of sleep quality (d = 0.65), dysfunctional beliefs and attitudes about sleep (d = 0.62), depressive symptoms (d = 0.35), and quality of life (d = 0.34).

Conclusion

Cognitive-behavioral self-help treatment does not necessarily lead to sleep improvements but it does improve coping with insomnia.

Practice implications

About 2% of the Dutch adult population has watched the regular broadcastings of the course after the trial ended. This huge number of viewers underlines that there is a need for this type of low cost self-help treatment.     

Confirmatory factor analysis of the Sleep Disturbance Scale for Children (SDSC) in a clinical sample of children and adolescents

The Sleep Disturbance Scale for Children was developed as a parent‐report measure to screen for sleep disturbances within the preceding 6 months. Notably, the scale was developed using a sample of typically developing children and children with sleep disorders. The aim of this study was to factor analyse the Sleep Disturbance Scale for Children using a clinical sample of children with a range of neuropsychological conditions and co‐morbidities, and determine whether the original six‐factor structure was retained. Four‐hundred and sixteen children aged 5–17 years were assessed at the Neurosciences Unit (Perth, Western Australia) as part of routine, clinical neuropsychological assessment. Parents and guardians also completed the Sleep Disturbance Scale for Children to rate their child's sleep. Confirmatory factor analysis of the original Sleep Disturbance Scale for Children model (Bruni et al. J. Sleep Res., 1996, 5: 251–261) revealed a less than ideal fit. Three adjustments were made to the model based on factor loadings and modification indices. The sleep hyperhidrosis factor (including items 9 and 16) along with item 10 was removed, leaving a five‐factor Sleep Disturbance Scale for Children model. The five‐factor model (Sleep Disturbance Scale for Children‐R) was factor analysed, and examination of model fit statistics indicated that this new model produced good fit. Additional analyses revealed that older children had greater difficulty falling and staying asleep, and with daytime sleepiness. However, no significant differences were observed across gender, diagnosis or socioeconomic status. The results of this study suggest that the Sleep Disturbance Scale for Children‐R may be a more appropriate measure when assessing clinical samples. However, further research is required to validate the Sleep Disturbance Scale for Children‐R against objective measures of sleep and to determine appropriate t‐score cut‐offs.     

Sleep architecture as correlate and predictor of symptoms and impairment in inter‐episode bipolar disorder: taking on the challenge of medication effects

This study was designed to clarify the association between inter‐episode bipolar disorder (BD) and sleep architecture. Participants completed a baseline symptom and sleep assessment and, 3 months later, an assessment of symptoms and impairment. The effects of psychiatric medications on sleep architecture were also considered. Participants included 22 adults with BD I or II (inter‐episode) and 22 non‐psychiatric controls. The sleep assessment was conducted at the Sleep and Psychological Disorders Laboratory at the University of California, Berkeley. Follow‐up assessments 3 months later were conducted over the phone. Results indicate that, at the sleep assessment, BD participants exhibited greater rapid eye movement sleep (REM) density than control participants with no other group differences in sleep architecture. Sleep architecture was not correlated with concurrent mood symptoms in either group. In the BD group, duration of the first REM period and slow‐wave sleep (SWS) amount were positively correlated with manic symptoms and impairment at 3 months, while REM density was positively correlated with depressive symptoms and impairment at 3 months. The amount of Stage 2 sleep was negatively correlated with manic symptoms and impairment at 3 months. In contrast, for the control group, REM density was negatively correlated with impairment at 3 months. SWS and Stage 2 sleep were not correlated with symptoms or impairment. Study findings suggest that inter‐episode REM sleep, SWS and Stage 2 sleep are correlated with future manic and depressive symptoms and impairment in BD. This is consistent with the proposition that sleep architecture may be a mechanism of illness maintenance in BD.     

Sleep problems and daytime somnolence in a German population-based sample of snoring school-aged children

Habitual snoring is associated with daytime symptoms like tiredness and behavioral problems. Its association with sleep problems is unclear. We aimed to assess associations between habitual snoring and sleep problems in primary school children. The design was a population-based cross-sectional study with a nested cohort study. The setting was twenty-seven primary schools in the city of Hannover, Germany. Habitual snoring and sleep problems were assessed in primary school children using an extended version of Gozal's sleep-disordered breathing questionnaire (n = 1144). Approximately 1 year later, parents of children reported to snore habitually (n = 114) and an equal number of children who snored never or occasionally were given the Sleep Disturbance Scale for Children, a validated questionnaire for the assessment of pediatric sleep problems. Snoring status was re-assessed using the initial questionnaire and children were then classified as long-term habitual snorers or ex-habitual snorers. An increasing prevalence of sleep problems was found with increasing snoring frequency for sleep-onset delay, night awakenings, and nightmares. Long-term habitual snorers were at significantly increased risk for sleep-wake transition disorders (e.g. rhythmic movements, hypnic jerks, sleeptalking, bruxism; odds ratio, 95% confidence interval: 12.0, 3.8-37.3), sleep hyperhidrosis (3.6, 1.2-10.8), disorders of arousal/nightmares (e.g. sleepwalking, sleep terrors, nightmares; 4.6, 1.3-15.6), and excessive somnolence (i.e. difficulty waking up, morning tiredness, daytime somnolence; 6.3, 2.2-17.8). Ex-habitual snorers were at increased risk for sleep-wake transition disorders (4.4, 1.4-14.2). Habitual snoring was associated with several sleep problems in our study. Long-term habitual snorers were more likely to have sleep problems than children who had stopped snoring spontaneously.     

Sleep disorders related to nutrition and digestive diseases: a neglected clinical condition

Sleep disturbances often result from inappropriate lifestyles, incorrect dietary habits, and/or digestive diseases. This clinical condition, however, has not been sufficiently explored in this area. Several studies have linked the circadian timing system to the physiology of metabolism control mechanisms, energy balance regulation, and nutrition. Sleep disturbances supposedly trigger digestive disorders or conversely represent specific clinical manifestation of gastrointestinal (GI) diseases. Poor sleep may worsen the symptoms of GI disorders, affecting the quality of life. Conversely, short sleep may influence dietary choices, as well as meal timing, and the circadian system drives temporal changes in metabolic patterns. Emerging evidence suggests that patients with inappropriate dietary habits and chronic digestive disorders often sleep less and show lower sleep efficiency, compared with healthy individuals. Sleep disturbances may thus represent a primary symptom of digestive diseases. Further controlled trials are needed to fully understand the relationship between sleep disturbances, dietary habits, and GI disorders. It may be also anticipated that the evaluation of sleep quality may prove useful to drive positive interventions and improve the quality of life in a proportion of patients.This review summarizes data linking sleep disorders with diet and a series of disease including gastro-esophageal reflux disease, peptic disease, functional gastrointestinal disorders, inflammatory bowel diseases, gut microbiota alterations, liver and pancreatic diseases, and obesity. The evidence supporting the complex interplay between sleep dysfunction, nutrition, and digestive diseases is discussed.