Sleep disorder symptoms are common and unspoken in Canadian general practice

Experiences of insomnia among older people living in nursing homes A qualitative study

PURPOSE

The study aimed to explore older people's experiences of insomnia in nursing homes.

METHOD

This qualitative study used an inductive approach with semi-structured interviews involving 19 older people (aged 67-101 years) from nine nursing homes in southwestern Sweden. The older people were purposively selected based on insomnia criteria according to the International Classification of Diseases (ICD-10, G47.0) and cognitive competence according to the Standardized Mini-Mental State Examination (S-MMSE). The interviews were analysed using qualitative content analysis.

RESULTS

Two categories were identified: Valuing good sleep and Disruptive influence on sleep, with the subcategories of internal and external disturbances. Older people expressed that sleep was crucial to their well-being, and poor sleep quality negatively influenced their mood and physical health. They experienced internal disturbances, such as anxiety and physical discomfort, as causing sleep disturbances, but also external aspects that included environmental disturbances, reduced activity levels, loneliness, and worry about which nursing staff was on duty.

CONCLUSION

This study highlights the critical role of sleep in maintaining energy, coping with daily life, and ensuring overall well-being for older people in nursing homes.

The impact of the COVID-19 pandemic on the quality of sleep of medical residents in a tertiary care hospital

STUDY OBJECTIVES

The COVID-19 pandemic has created unprecedented levels of stress and anxiety, which has a profound effect on sleep quality. However, limited data are available on the sleep quality of medical residents who work directly with patients infected with SARS-CoV-2. As sleep is a crucial brain state, our goal is to know the sleep quality of these medical residents.

METHODS

This study evaluated sleep quality among medical residents caring for patients with COVID-19 at Hospital São Paulo, São Paulo, Brazil. It used a validated questionnaire and assessed sleep habits and sociodemographic variables. The study focused on sleep latency, bedtime changes, early awakening, and discouragement.

RESULTS

A total of 150 resident physicians participated, 93 females and 57 males. We observed poor sleep quality in 72.7%, discouragement complaints in 91.33%, what was moderate or intense in 52.0%. Discouragement was associated with sleep fragmentation and awakening early in the morning; sleeping pill users had a greater sleep latency (P < .00001). Poor sleep quality was linked to changes in bedtime and use of sleeping medications during social isolation in 2020 (P = .037 and P < .001, respectively).

CONCLUSIONS

During the COVID-19 pandemic, more than two-thirds of resident physicians experienced poor sleep quality. They changed their bedtime, increased sleep latency, the use of hypnotics, feelings of discouragement, fragmented sleep, and early awakening in the morning. These findings should serve as a wake-up call for everyone, especially those in administrative roles. They are a matter of concern for medical residents, chief residents, supervising physicians, medical directors, and faculties. Maximās grātiās vōbīs agimus.

CITATION

dos Santos FTAR, Bizari Fernandes do Prado L, Bizari Coin de Carvalho L, do Prado GF. The impact of the COVID-19 pandemic on the quality of sleep of medical residents in a tertiary care hospital. J Clin Sleep Med. 2025;21(1):17-22.

Prevalence and regional distribution of obstructive sleep apnea in Canada: Analysis from the Canadian Longitudinal Study on Aging

OBJECTIVES

Obstructive sleep apnea (OSA) is a common chronic condition that is often undiagnosed or diagnosed after many years of symptoms and has an impact on quality of life and several health factors. We estimated the Canadian national prevalence of OSA using a validated questionnaire and physical measurements in participants in the Canadian Longitudinal Study on Aging (CLSA).

METHODS

The method used individual risk estimation based upon the validated STOP-BANG scale developed for OSA. This stratified population sample spans Canada to provide regional estimates.

RESULTS

In this sample of adults aged 45 to 85 years old, the overall prevalence in 2015 of combined moderate and severe OSA in the 51,337 participants was 28.1% (95% confidence intervals, 27.8‒28.4). The regional prevalence varied statistically between Atlantic Canada and Western Canada (p < 0.001), although clinically the variations were limited. The provincial prevalence for moderate and severe OSA ranged from 27.5% (New Brunswick and British Columbia) to 29.1% (Manitoba). Body mass index (BMI) was the dominant determinant of the variance between provinces (β = 0.33, p < 0.001). Only 1.2% of participants had a clinical diagnosis of OSA.

CONCLUSION

The great majority (92.9%) of the participants at high risk of OSA were unrecognized and had no clinical diagnosis of OSA.

Sleep education for medical students: A study exploring gaps and opportunities

PURPOSE

To explore final-year medical students' perceptions of sleep education during medical school to inform the development of a sleep curriculum.

METHODS

Year 6 medical students on their final general practice placement in 2020 were invited to complete an online survey including questions regarding sleep education recalled during the medical programme.

RESULTS

Responses were received from 51/71 (72 %) students. Main learning topics recalled by participants were sleep apnoea (83 %), sleep physiology (71 %), and snoring (69 %). Education in other topics was reported by <65 % of students. Priority topics for students were treating common sleep disorders, taking a sleep history, and navigating shift work.

CONCLUSIONS

Whilst the majority of students recalled education on specific topics, many had little awareness of education relating to sleep assessment, insomnia, or shift work. Sleep education in the curriculum needs more emphasis and reinforcement given sleep's relevance across many domains of health and morbidity. We propose that an identifiable sleep curriculum is required to ensure medical students have the necessary core education regarding sleep and sleep disorders both for patients and themselves. Further, we believe this is possible to achieve in a short timeframe within the constraints of an existing curriculum and propose some creative solutions.

Sleep and Epilepsy

The relationship between sleep and epilepsy is both intimate and bidirectional. The molecular mechanisms which control circadian rhythm and the sleep/wake cycle are dysregulated in epileptogenic tissue and are themselves effected by molecular pathways for epilepsy. Sleep affects the frequency of interictal epileptiform discharges and recent research has raised new questions regarding the impact of discharges on sleep function and cognition. Epileptiform discharges themselves affect sleep architecture and increase the risk of sleep disorders. Several sleep-related epilepsy syndromes have undergone changes in their classification which highlights their intimate relationship to sleep and novel screening tools have been developed to help clinicians better differentiate epileptic seizures from sleep-related paroxysmal events. Improving sleep and addressing sleep disorders has been associated with improved seizure control and increased well-being in people with epilepsy. These interactions are discussed in detail in this review.

Patient-level factors associated with the self-report of trouble sleeping to healthcare providers in adults at high risk for obstructive sleep apnea

INTRODUCTION

In adults at risk for obstructive sleep apnea, it is unclear what patient-level factors and symptoms may influence communication with healthcare providers regarding sleep difficulties. This analysis examined associations between sociodemographic characteristics, comorbidities, and obstructive sleep apnea-related symptoms and whether adults at high risk for obstructive sleep apnea reported trouble sleeping to an healthcare provider.

METHODS

The sample included participants from the 2015-2018 National Health and Nutrition Examination Survey determined by a modified STOP-Bang to be at high risk for obstructive sleep apnea (n = 2009). Participants were asked if they had ever reported trouble sleeping to an healthcare provider. Self-reported comorbidities and obstructive sleep apnea-related symptoms (ie, snoring, snorting, gasping, or breathing cessation during sleep, daytime sleepiness, fatigue, insomnia, and nocturia) were assessed.

RESULTS

Half of the sample (50.8%) never reported trouble sleeping to an healthcare provider. Factors associated with an increased likelihood of reporting trouble sleeping included female sex, former smoker, and prediabetes or diabetes, obstructive lung disease, daytime sleepiness, insomnia, nocturia, and symptoms of snorting, gasping, and/or breathing cessation during sleep. Factors associated with a decreased likelihood of reporting trouble sleeping included Mexican American background or Asian race and having less than a high school education.

CONCLUSION

Differences in sex, race, education, comorbidities, and obstructive sleep apnea-related symptoms exist between adults at high risk for obstructive sleep apnea who have and have not reported trouble sleeping to an healthcare provider. It is important for healthcare providers to ask all adults about sleep problems, recognizing that men, minorities, and persons with lower educational attainment may be less likely to report trouble sleeping.

Should testing for obstructive sleep apnea be offered routinely to older family medicine patients? A prospective cohort study

In our previous studies, we offered older family medicine patients testing for obstructive sleep apnea (OSA) and discovered that 80% of patients who accepted, were later diagnosed with unsuspected OSA. In the present study, we followed such patients for 3 years of usual treatment. The goals were to (1) observe whether wider testing for OSA would increase case recognition and treatment uptake; (2) identify symptom and health characteristics associated with diagnosis and treatment efficacy. 101 women and 75 men (>45 years) recruited from family medicine clinics completed questionnaires, polysomnography and consented to chart review (Time 1). Participants with OSA were offered treatment and follow-up with a sleep medicine specialist. All were re-evaluated after 3 years (Time 2). At Time 1, 93% of participants received a diagnosis of OSA. Of these, 53 initiated treatment (46 PAP therapy); at Time 2, 24 PAP users met criteria for adherence. PAP-adherent participants had worse OSA and worse reported symptoms at Time 1 than non-adherent participants. At Time 2, PAP-adherent participants improved on insomnia and daytime symptoms compared to non-adherent participants who showed no change. Adherent and non-adherent participants showed no difference in health indices at Time 1 and no change at three-year follow-up. Benefits of treatment included improvements in co-morbid insomnia and daytime functioning; however, offering wider testing for OSA to older, family medicine patients yielded a high rate of diagnosis but low treatment adoption and adherence. Therefore, a cost-effective strategy would identify and support those likely to adopt and adhere to treatment.

Impacts of COVID-19 Pandemic on Sleep Quality Evaluated by Wrist Actigraphy: A Systematic Review

COVID-19 has probably contributed as a risk factor for sleep disturbance. Actigraphy has been used to evaluate sleep complaints in self-isolated populations and frontline doctors during the COVID-19 pandemic. This systematic review aims to summarize the impact of the COVID-19 pandemic on sleep through wrist actigraphy, estimating sleep latency, total sleep time, awakening-after-sleep onset, and sleep efficiency. Searches were conducted of observational studies on the PubMed, Embase, Scopus, Web of Science, and PEDro databases from 1 December 2019 to 31 December 2022. Ninety articles were found, and given the eligibility criteria, fifteen were selected. Six studies were classified by the National Health and Medical Research Council as evidence level IV, two studies as level III-3, and seven studies as level III-2. According to the ACROBAT-NRSI instrument, three studies were classified as having a "serious" risk of bias, two as having "critical" risk, four as having "moderate" risk, and six as having "low" risk. In the selected publications, various populations were evaluated via actigraphy during the COVID-19 pandemic, with reports of "poor" sleep quality. Actigraphy may be a relevant tool to assess individual day-night rhythms and provide recommendations under enduring pandemic conditions. Moreover, as actigraphy presents objective data for sleep evaluations, it is suggested that this method be used in similar pandemics and that actigraphy be included as part of the sleep hygiene strategy.

Wrist actigraphic approach in primary, secondary and tertiary care based on the principles of predictive, preventive and personalised (3P) medicine

Abstract

Sleep quality and duration as well as activity-rest-cycles at individual level are crucial for maintaining physical and mental health. Although several methods do exist to monitor these parameters, optimal approaches are still under consideration and technological development. Wrist actigraphy is a non-invasive electro-physical method validated in the field of chronobiology to record movements and to allow for monitoring human activity-rest-cycles. Based on the continuous recording of motor activity and light exposure, actigraphy provides valuable information about the quality and quantity of the sleep–wake rhythm and about the amount of motor activity at day and night that is highly relevant for predicting a potential disease and its targeted prevention as well as personalisation of medical services provided to individuals in suboptimal health conditions and patients. Being generally used in the field of sleep medicine, actigraphy demonstrates a great potential to be successfully implemented in primary, secondary and tertiary care, psychiatry, oncology, and intensive care, military and sports medicines as well as epidemiological monitoring of behavioural habits as well as well-being medical support, amongst others.

Prediction of disease development and individual outcomes

Activity-rest-cycles have been demonstrated to be an important predictor for many diseases including but not restricted to the development of metabolic, psychiatric and malignant pathologies. Moreover, activity-rest-cycles directly impact individual outcomes in corresponding patient cohorts.

Targeted prevention

Data acquired by actigraphy are instrumental for the evidence-based targeted prevention by analysing individualised patient profiles including light exposure, sleep duration and quality, activity-rest-cycles, intensity and structure of motion pattern.

Personalised therapy

Wrist actigraphic approach is increasingly used in clinical care. Personalised measurements of sedation/agitation rhythms are useful for ICU patients, for evaluation of motor fatigue in oncologic patients, for an individual enhancement of performance in military and sport medicine. In the framework of personalised therapy intervention, patients can be encouraged to optimise their behavioural habits improving recovery and activity patterns. This opens excellent perspectives for the sleep-inducing medication and stimulants replacement as well as for increasing the role of participatory medicine by visualising and encouraging optimal behavioural patterns of the individual.

Sleep patterns and physical function in older adults attending primary health care

BACKGROUND

Sleep disturbances may contribute to physical function impairment among older adults.

OBJECTIVE

To examine the associations between sleep quality and duration and impaired physical function among older adults.

METHODS

Cross-sectional study involving 392 non-institutionalized adults aged ≥65 years, who were recruited from primary health care centres in Spain. Sleep quality and duration were assessed with the Pittsburgh Sleep Quality Index (PSQI). The FRAIL scale was used to identify physical frailty, the short physical performance battery to assess lower extremity functional impairment (LEFI) and grip strength was measured using a hand-held dynamometer to assess muscle weakness. Statistical analyses were performed with logistic regression models adjusted for potential confounders.

RESULTS

Participants with poor sleep quality (PSQI global score ≥10) were more likely to have functional limitations; the odds ratio (95% confidence interval) was 2.90 (1.10-7.64) for physical frailty, 2.73 (1.34-5.58) for LEFI and 2.32 (1.14-4.75) for muscle weakness. Sleep quality components associated with frailty were sleep disturbances, use of sleeping medication and daytime dysfunction. The only quality component associated with LEFI was poor sleep efficiency, while subjective poor sleep quality and daytime dysfunction were linked to muscle weakness. No associations were observed between night-time sleep duration and physical function indicators.

CONCLUSIONS

Poor self-reported sleep quality, but not sleep duration, was associated with an increased frequency of physical frailty, LEFI and muscle weakness. Interventions to improve sleep quality could contribute to healthy ageing.

Night-time frequency of urination as a manifestation of sleep-disordered breathing: the Nagahama study

AIMS

Sleep-disordered breathing (SDB) is a well-known risk factor for cardiovascular outcomes. Studies of patients with SDB have identified frequent night-time urination as a manifestation related to SDB. We aimed to clarify whether night-time frequency of urination is independently associated with SDB in a general population. We also investigated whether night-time frequency of urination can help presumptive diagnose SDB.

METHODS

Study participants consisted of 7151 community residents. Oxygen saturation during sleep was measured for four nights using a pulse oximeter. SDB was defined as ≥15 events per hour in which oxygen desaturation exceeded or equal to 3% during an actigraphy-determined sleep period. Night-time frequency of urination was recorded for one week using a sleep diary.

RESULTS

Significant positive correlations were evident between night-time frequency of urination and SDB (none, 5.8%; once/night, 14.1%; twice/night, 20.1%; thrice/night, 28.7%; >thrice/night, 44.1%, P < 0.001). This association was independent of possible covariates, including sleep duration (adjusted odds ratio: once/night = 1.50, twice/night = 2.15, thrice/night = 3.07, >thrice/night = 3.73, P < 0.001). Other factors significantly associated with SDB were age, sex, obesity, observation of sleep apnea, and short sleep duration. The area under the curve of the risk score for SDB consisting of these conventional six items (0.834) significantly improved (0.842, P = 0.001) when night-time frequency of urination was considered as a risk score item.

CONCLUSION

Night-time frequency of urination was associated with SDB. Our findings suggest that the urination frequency should be considered a manifestation of SDB even in a general population.

Social determinants of sleep disturbance in safety-net primary care: unmet needs, classist discrimination, and anxiety

BACKGROUND

The 3P model proposes that predisposing, precipitating, and perpetuating factors all play a role in sleep disturbance.

OBJECTIVE

The purpose of the current study is to investigate social determinants of sleep disturbance by applying the 3P model to a safety-net primary care setting, specifically by evaluating the role of classism and unmet needs as precipitating factors for sleep disturbance, and anxiety as a perpetuating factor for sleep disturbance.

METHODS

Participants (N = 210) were a convenience sample of racially/ethnically diverse adults over the age of 18 (age M = 44.7 years) recruited from a safety-net primary care clinic in an urban area. The study employed a cross-sectional design. Participants completed a survey assessing sleep disturbances, anxiety, unmet needs, classism, social support, and a researcher-generated demographic form.

RESULTS AND CONCLUSIONS

The unmet need for affordable long-term housing and greater experiences of classism were associated with more sleep disturbance, suggesting that both acted as precipitating factors. In a structural equation model with adequate fit indices, anxiety mediated the relationships with sleep disturbance for both the unmet need for affordable long-term housing and classism, suggesting that it serves as a perpetuating factor. Medical providers are recommended to explore these potential needs in safety-net primary care when patients present with sleep disturbance or anxiety. Assisting with connections to long-term housing and helping patients counteract and cope with classist discrimination may be effective in improving sleep in safety-net primary care.

Clinician and patient barriers to the recognition of insomnia in family practice: a narrative summary of reported literature analysed using the theoretical domains framework

BACKGROUND

Insomnia is a common sleep complaint, with 10% of adults in the general population experiencing insomnia disorder, defined as lasting longer than three months in DSM-5. Up to 50% of patients attending family practice experience insomnia, however despite this, symptoms of insomnia are not often screened for, or discussed within this setting. We aimed to examine barriers to the assessment and diagnosis of insomnia in family practice from both the clinician and patient perspective.

METHODS

The present article identified research that has examined barriers to assessing insomnia from the clinician's and the client's perspectives following MEDLINE and Google Scholar searches, and then classified these barriers using the theoretical domains framework.

RESULTS

The most common barriers from the clinician's perspective were related to Knowledge, Skills, and the Environmental Context. From the patient perspective, barriers identified included their Beliefs about the consequences of Insomnia, Social Influences, and Behavioural Regulation of Symptoms.

CONCLUSIONS

Utilising this theoretical framework, we discuss options for bridging the gap between the identification and subsequent management of insomnia within the family practice setting. To assist clinicians and those in community health care to overcome the Knowledge and Skills barriers identified, this article provides existing relevant clinical criteria that can be utilised to make a valid diagnosis of insomnia.

Veterans Affairs Primary Care Provider Perceptions of Insomnia Treatment

STUDY OBJECTIVES

Insomnia is a widespread issue among United States adults and rates of insomnia among veterans are even higher than the general population. Prior research examining primary care provider (PCP) perspectives on insomnia treatment found that: sleep hygiene and pharmacotherapy are the primary treatments offered; PCPs tend to focus on perceived causes of insomnia rather than the insomnia itself; and neither patients nor providers are satisfied with insomnia treatment options. Although insomnia complaints are typically first reported to primary care providers, little research has focused on perspectives regarding insomnia treatment among PCPs working in the largest integrated health care system in the United States-the Veterans Affairs (VA) health care system. This study was conducted to examine VA PCP perceptions of the availability of insomnia treatments, identify specific strategies offered by PCPs, and examine perceptions regarding the importance of treating insomnia and the role of comorbid conditions.

METHODS

A survey was conducted within the VA health care system. Primary care providers completed surveys electronically.

RESULTS

A high percentage of veterans (modal response = 20% to 39%) seen in VA primary care settings report an insomnia complaint to their provider. Almost half of respondents do not consistently document insomnia in the medical record (46% endorsed "sometimes," "rarely," or "never"). PCPs routinely advise sleep hygiene recommendations for insomnia (ie, avoid stimulants before bedtime [84.3%], and keep the bedroom environment quiet and dark and comfortable [68.6%]) and many are uncertain if cognitive behavioral therapy for insomnia is available at their facility (43.1%).

CONCLUSIONS

Findings point to the need for systems-level changes within health care systems, including the adoption of evidence-based clinical practice standards for insomnia and PCP education about the processes that maintain insomnia.

COMMENTARY

A commentary on this article appears in this issue on page 937.

The challenge of identifying family medicine patients with obstructive sleep apnea: addressing the question of gender inequality

PURPOSE

The purpose of this study was to examine the sleep characteristics, metabolic syndrome disease and likelihood of obstructive sleep apnea in a sample of older, family medicine patients previously unsuspected for sleep apnea.

METHODS

A total of 295 participants, minimum age 45, 58.7% women, were recruited from two family medicine clinics. None previously had been referred for sleep apnea testing. All participants completed a sleep symptom questionnaire and were offered an overnight polysomnography study, regardless of questionnaire results. 171 followed through with the sleep laboratory component of the study. Health data regarding metabolic syndrome disease (hypertension, hyperlipidemia, diabetes and obesity) were gathered by chart review.

RESULTS

Overall, more women than men enrolled in the study and pursued laboratory testing. Of those who underwent polysomnography testing, 75% of the women and 85% of the men were diagnosed with sleep apnea based on an apnea/hypopnea index of 10 or greater. Women and men had similar polysomnography indices, the majority being in the moderate to severe ranges. In those with OSA diagnosis, gender differences in sleep symptom severity were not significant.

CONCLUSIONS

We conclude that greater gender equality in sleep apnea rates can be achieved in family practice if sleep apnea assessments are widely offered to older patients.

An investigation into the association between demographic and morbidity factors, and sleep disturbance

BACKGROUND

The recognition of sleep disorders is important because in the long term, they are associated with numerous deleterious health outcomes. Despite the high prevalence of sleep disorders, they are widely under-diagnosed at general practice level.

AIM

This study aims to investigate the association between demographic and morbidity factors, and self-reported sleep disturbance symptoms.

METHODS

A quantitative cross-sectional study design was used. The data collection tool was an anonymous questionnaire consisting of 22 sleep symptoms categorised into four subscales: 1. Insomnia, 2. Daytime Distress, 3. Sleep Disorder, 4. Psychological Distress. Participants were adults ≥18 years of age attending their general practitioner.

RESULTS

A total of 281 questionnaires were analysed (70.3% response rate). Participants with a diagnosis of depression and those who experienced low mood 'very frequently' had significantly higher median scores on all four subscales. Those with a body mass index (BMI) >30 kg/m² had a higher median score on subscale 3, compared to those with lower BMIs. Smokers had higher median scores on subscales 1-3 compared to non-smokers. Participants >65 years of age had lower median scores on all subscales compared to younger participants. Married participants had lower median scores on subscales 1-3 compared to unmarried participants. A total of 37% reported that they would be willing to participate in an overnight sleep study, and 5.3% had been formally diagnosed with a sleep disorder.

CONCLUSIONS

A number of factors are significantly associated with sleep disturbance, particularly depression, low mood, elevated BMI and smoking. General practitioners should consider these factors to increase recognition of patients who would benefit from sleep disorder investigation.

CPAP Treatment Adherence in Women with Obstructive Sleep Apnea

Untreated obstructive sleep apnea (OSA) has numerous negative health-related consequences. Continuous positive airway pressure (CPAP) is generally considered the treatment of choice for OSA, but rates of nonadherence are high. It is believed that OSA is more prevalent among men; therefore understanding how OSA presents among women is limited and treatment adherence has received little research attention. For this study, 29 women were recruited from primary care offices. They completed a questionnaire battery and underwent a night of nocturnal polysomnography (PSG) followed by a visit with a sleep specialist. Women diagnosed with OSA were prescribed CPAP; 2 years later CPAP adherence was evaluated. Results show that approximately half the sample was adherent. There were no significant differences between adherent and nonadherent women on OSA severity; however CPAP adherent women had worse nocturnal and daytime functioning scores at the time of diagnosis. Moreover, when the seven nocturnal and daytime variables were used as predictors in a discriminant analysis, they could predict 87% of adherent and 93% of the nonadherent women. The single most important predictor was nonrefreshing sleep. We discuss the implications of the findings for identifying women in primary care with potential OSA and offer suggestions for enhancing treatment adherence.

Manifestations of Insomnia in Sleep Apnea: Implications for Screening and Treatment

The aims of this study were to examine the presence, type, and severity of insomnia complaints in obstructive sleep apnea (OSA) patients and to assess the utility of the Sleep Symptom Checklist (SSC) for case identification in primary care. Participants were 88 OSA patients, 57 cognitive-behavioral therapy for insomnia (CBT-I) patients, and 14 healthy controls (Ctrl). Each completed a sleep questionnaire as well as the SSC, which includes insomnia, daytime functioning, psychological, and sleep disorder subscales. Results showed that OSA patients could be grouped according to 3 insomnia patterns: no insomnia (OSA), n = 21; insomnia (OSA-I), n = 30, with a subjective complaint and disrupted sleep; and noncomplaining poor sleepers (OSA-I-NC), n = 37. Comparisons among the OSA, CBT-I, and Ctrl groups demonstrate distinct profiles on the SSC subscales, indicating its potential utility for both case identification and treatment planning.

Mobile Devices and Insomnia: Understanding Risks and Benefits

Mobile devices (smartphones and tablet computers) have become widely prevalent due to rapid improvements in function and decreasing costs. As of 2014, 90 % of US adults have a mobile phone, with 58 % having a smartphone, 32 % owning some type of e-reader, and 42 % of US adults owning a tablet computer. Mobile devices are particularly well-suited for the study of common conditions such as sleep difficulties because of their ubiquity. Around 35 to 49 % of the US adult population have problems falling asleep or have daytime sleepiness. These sleep disorders are often under-recognized because of patient-physician communication difficulties, low rates of medical awareness resulting in underreporting of insomnia symptoms, and limited primary care physician (PCP) training in insomnia recognition. Mobile devices have the potential to bridge some of these gaps, but they can also lead to sleep difficulties when used inappropriately.

Sleep and Epilepsy

Sleep and epilepsy are common bedfellows. Sleep can affect frequency and occurrence of interictal spikes and occurrence, timing, and threshold of seizure. Epilepsy can worsen sleep architecture and severity of sleep disorders. Thus, a vicious cycle is set. Certain epilepsy syndromes are so intertwined with sleep that they are considered sleep-related epilepsies. Poor sleep in epilepsy is multifactorial and is worsened by poorly controlled seizures. On the contrary, poor sleep is associated with worsened quality of life, psychological function, and memory. Improving sleep has been noted to improve seizure frequency and an overall well-being in patients with epilepsy. Hence, an emphasis should be given to address sleep in patients with epilepsy. These interactions are discussed in detail in this review.

Excessive daytime sleepiness among rural residents in Saskatchewan

BACKGROUND

Obstructive sleep apnea (OSA) is a common diagnosis in clinical practice. Excessive daytime sleepiness may be a warning for possible OSA.

OBJECTIVES

To assess the prevalence of excessive daytime sleepiness as measured by the Epworth Sleepiness Scale (ESS) in a rural community population; potential risk factors for OSA were also assessed.

METHODS

In 2010, a baseline respiratory health questionnaire within the Saskatchewan Rural Health Study was mailed to 11,982 households in Saskatchewan. A total of 7597 adults within the 4624 (42%) respondent households completed the ESS questionnaire. Participants were categorized according to normal or high (>10) ESS scores. Data obtained included respiratory symptoms, doctor-diagnosed sleep apnea, snoring, hypertension, smoking and demographics. Body mass index was calculated. Multivariable logistic regression analysis examined associations between high ESS scores and possible risk factors. Generalized estimating equations accounted for the two-tiered sampling procedure of the study design.

RESULTS

The mean age of respondents was 55.0 years and 49.2% were male. The prevalence of ESS>10 and 'doctor diagnosed' OSA were 15.9% and 6.0%, respectively. Approximately 23% of respondents reported loud snoring and 30% had a body mass index >30 kg⁄m2. Of those with 'doctor-diagnosed' OSA, 37.7% reported ESS>10 (P<0.0001) and 47.7% reported loud snoring (P<0.0001). Risk of having an ESS>10 score increased with age, male sex, obesity, lower socioeconomic status, marriage, loud snoring and doctor-diagnosed sinus trouble.

CONCLUSIONS

High levels of excessive daytime sleepiness in this particular rural population are common and men >55 years of age are at highest risk. Examination of reasons for residual sleepiness and snoring in persons with and without sleep apnea is warranted.

Insomnia in patients with unexplained chest pain

OBJECTIVES

The current study was designed (1) to assess insomnia symptoms and sleep-related beliefs in a population of patients presenting in emergency department with unexplained chest pain (UCP) and (2) to examine the associations between insomnia and pain.

METHODS

This is a report of secondary data from a cross-sectional study performed in the emergency department of 2 academic hospitals. Patients with UCP seen in an emergency department were assessed using sleep questionnaires and the Anxiety Disorders Interview Schedule for Diagnostic and Statistical Manual of Mental Disorders, fourth edition.

RESULTS

Nearly every second patient with UCP (44%) seen in an emergency department suffered from clinically significant insomnia symptoms. Most patients with an anxiety or a mood disorder had insomnia, but a minority of patients with insomnia had an anxiety or a mood disorder. Insomniacs with an anxiety disorder were similar to insomniacs without comorbid anxiety for sleep-related beliefs and depressive symptoms, and both groups of insomniacs reported more depressive symptoms and faulty beliefs than both groups of good sleepers, i.e., either with or without an anxiety disorder. Results from regression analyses revealed that insomnia was associated with pain on univariate regression analysis and accounted for 1.3% of the variance in both pain intensity and interference. However, this association was rendered nonsignificant when additional variables were added to the model.

CONCLUSIONS

Insomnia symptoms are an important, but often disregarded, feature present in a significant proportion of patients with UCP. As insomnia showed stronger associations with pain than anxiety or depression, it may represent an important factor contributing to the development and recurrence of UCP.

Provider practices impact adequate diagnosis of sleep disorders in children with epilepsy

Sleep disorders significantly affect the lives of children with epilepsy. Limited data exist about provider practices concerning detection and correct diagnosis of sleep problems in epilepsy. The authors conducted this study to identify and correlate sleep screening methods, referral practices, referral reasons and final sleep diagnoses. They identified that 94% of the providers who had referred patients to the sleep center of a major children's hospital used routine screening and 70% of them used 2 to 3 screening questions. This method, however, underidentified the patients at risk for sleep disorders. Moreover, in 40% of the children, sleep disorder was incorrectly anticipated, based on the initial symptoms. Of these children, 10% had no sleep disorder and 30% had unexpected sleep disorder. The authors conclude that better screening methods should be used for sleep disorders. Once identified, these patients should have formal sleep evaluation and management. Further studies are needed to develop screening questionnaires.

Assessing sleepiness and sleep disorders in Australian long-distance commercial vehicle drivers: self-report versus an "at home" monitoring device

STUDY OBJECTIVES

As obstructive sleep apnea (OSA) is associated with a higher risk of motor vehicle crashes, there is increasing regulatory interest in the identification of commercial motor vehicle (CMV) drivers with this condition. This study aimed to determine the relationship between subjective versus objective assessment of OSA in CMV drivers.

DESIGN

Cross-sectional survey.

SETTINGS

Heavy vehicle truck stops located across the road network of 2 large Australian states.

PARTICIPANTS

A random sample of long distance commercial vehicle drivers (n = 517).

INTERVENTIONS

None.

MEASUREMENTS AND RESULTS

Drivers were interviewed regarding their driving experience, personal health, shift schedules, payments, and various questions on sleep and tiredness in order to describe their sleep health across a range of variables. In addition, home recordings using a flow monitor were used during one night of sleep. Only 4.4% of drivers reported a previous diagnosis of sleep apnea, while our at home diagnostic test found a further 41% of long-distance heavy vehicle drivers likely to have sleep apnea. The multivariable apnea prediction index, based on self-report measures, showed poor agreement with the home-monitor detected sleep apnea (AUC 0.58, 95%CI = 0.49-0.62), and only 12% of drivers reported daytime sleepiness (Epworth Sleepiness Scale score > 10). Thirty-six percent of drivers were overweight and a further 50% obese; 49% of drivers were cigarette smokers.

CONCLUSIONS

Sleep apnea remains a significant and unrecognized problem in CMV drivers, who we found to have multiple health risks. Objective testing for this sleep disorder needs to be considered, as symptom reports and self-identification appear insufficient to accurately identify those at risk.

Childhood abuse as a risk factor for sleep problems in adulthood: evidence from a U.S. national study

BACKGROUND

Accumulating evidence indicates that stress impairs sleep quality. Few studies, however, have examined the extent to which early life stress can jeopardize sleep in adulthood.

PURPOSE

Guided by a life course epidemiological perspective on health, this study examined associations between childhood abuse and adult sleep problems.

METHODS

We used data from 835 respondents in the National Survey of Midlife Development in the United States (MIDUS). Self-report measures assessed the frequency of physical, emotional, and sexual abuse in childhood, as well as global and component indicators of sleep problems in adulthood.

RESULTS

Having experienced all three types of childhood abuse-even infrequently-was associated with global sleep pathology, as well as specific types of sleep problems. Reports of both frequent physical and frequent emotional abuse-even in the absence of sexual abuse-were also associated with poor sleep.

CONCLUSIONS

Childhood abuse is a risk factor for individuals' long-term sleep problems.

Fatigue: The forgotten symptom of sleep apnea

OBJECTIVE

The present investigation was designed to explore the role and implications of both daytime sleepiness and fatigue in obstructive sleep apnea syndrome with respect to sleep, perceived health quality, and psychological functioning.

METHODS

Our participants consisted of two groups: 124 older community volunteers who completed a polysomnographic sleep study and were diagnosed with sleep apnea, and 19 healthy controls. All participants completed self-report measures of sleepiness, fatigue, sleep quality, health quality, and psychological functioning.

RESULTS

The apnea sample was divided according to clinically relevant cut-offs on sleepiness and fatigue. When those with mid-range scores were ruled out, the following groups remained: low sleepiness/low fatigue (LL, n=23), high sleepiness/high fatigue (HH, n=28), high sleepiness/low fatigue (HS, n=10) and low sleepiness/high fatigue (HF, n=13). The respiratory disturbance index did not differ significantly among these groups and only the two highly fatigued groups (HH and HF) experienced significantly lower average oxygen saturation than the control group. Analyses revealed that the HH group was significantly worse than the LL and control groups on most sleep, health quality, and psychological measures. On these same measures, the groups for whom fatigue was low (LL and HS), regardless of sleepiness, were similar to controls.

CONCLUSION

When patients with sleep apnea are classified into different sleepiness/fatigue categories, the results show that high fatigue is associated with more severe dysfunction than high sleepiness. The current debate on whether to treat apnea patients with low sleepiness needs to consider the impact of fatigue.