Sleep and Well-Being during the COVID-19 Remote and In-Person Periods: Experiences of College Faculty and Staff with and without Disabilities.

We explored the impacts of the remote and return-to-in-person work periods on sleep and well-being as reported by faculty (n = 22) and non-teaching staff (n = 21) with and without disabilities. Participants were recruited through college platforms and personal contacts. Our results show that contrary to expectations, the COVID-19 remote teaching/working period resulted in better sleep, as well as greater well-being, than the return-to-in-person work period. With respect to sleep, faculty members had slightly more negative outcomes than staff, most evident in heightened anxiety and work aspects. Faculty with disabilities had somewhat worse sleep and well-being during the remote period than faculty without disabilities. During the return to in-person work, both faculty and non-teaching staff reported more negative than positive sleep and well-being outcomes. In particular, during the in-person period, faculty members experienced slightly more negative sleep outcomes related to anxiety and work, while staff members experienced slightly more negative sleep outcomes related to the need to commute and lifestyle. Our findings show that there were benefits and disadvantages to both remote and in-person work periods, suggesting a hybrid work schedule should be considered in more detail, particularly as an optional reasonable accommodation for faculty and staff with disabilities. Our study highlights that training to keep faculty abreast of the latest technological innovations, ways to promote work-life balance, and steps to remedy classroom size and building ventilation to prevent the spread of disease all need urgent attention.

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.

Impact of the COVID-19 pandemic on obstructive sleep apnea: recommendations for symptom management.

STUDY OBJECTIVES: In the context of the current COVID-19 pandemic situation, we address the following important questions: (1) How can patients be identified for possible OSA while sleep clinic testing is temporarily unavailable or limited? and (2) What measures can be suggested to improve sleep health until proper diagnosis and treatment become safe and available again? METHODS: As a proxy for home or in-laboratory testing, validation of a symptom-based measure of OSA risk is presented, based on an ongoing larger prospective study of 156 family medicine patients with OSA (88 women, 68 men; mean age, 57 years) and 60 control participants (36 women, 24 men; mean age, 54 years) recruited from the community. Participants completed the Sleep Symptom Checklist (SSC) and a range of other self-report measures; primary care patients also underwent a polysomnographic sleep study. RESULTS: Results showed that (1) individuals with OSA reported more symptoms on the SSC related to insomnia, daytime symptoms, sleep disorders, and psychological maladjustment than did the control group (all P < .001), and (2) their sleep-related symptoms were significantly more severe than those of the control patients. In addition, several polysomnographic indices in recently diagnosed untreated individuals with OSA were significantly correlated with SSC measured sleep disorder symptoms, and SSC scores significantly distinguished participants with OSA from control participants. CONCLUSIONS: Our findings suggest that family practitioners can effectively prescreen patients for possible OSA by inquiring about 5 items that form the SSC sleep disorders subscale. If OSA is suspected, then we can recommend a range of behavioral techniques to improve symptoms. The current pandemic causes us to reflect that the provisional targeting of symptoms and guidance regarding mitigation strategies while waiting for specialist care could serve patients well at any time.

Disordered sleep is related to delusional ideation and depression during the perinatal period.

OBJECTIVES: This study investigates the associations between sleep disturbances, delusional ideation (DI), and depressive symptomatology across the perinatal period. METHODS: A community sample of 316 mothers completed the Sleep Symptom Checklist, Peters Delusional Inventory, and Edinburgh Postnatal Depression Scale at three time points: second trimester of pregnancy (12-14 weeks gestation), third trimester (32-34 weeks gestation), and two months postpartum. RESULTS: Longitudinal path analysis revealed a bidirectional relationship between sleep disturbance and DI across pregnancy. Sleep disturbances in early pregnancy directly predicted symptoms of depression in late pregnancy and had an indirect effect on postpartum depression through DI in late pregnancy. CONCLUSIONS: Our results suggest that disturbed sleep during pregnancy plays a role in increased levels of DI and depressive symptoms during pregnancy and postpartum.

Determinants of policy decisions for non-commercial drivers with OSA: An integrative review.

Excessive daytime sleepiness and reduced cognitive functioning secondary to obstructive sleep apnea (OSA) have been identified as an important health-related risk in commercial transportation with, possibly, an increased chance of road accidents. This has resulted in a variety of policies and restrictions imposed on commercial drivers. Here we review current knowledge to assess whether available data are sufficient to guide policy decisions concerning restrictions for non-commercial drivers. The review shows that there is a lack of uniformity among different consensus conferences and guidelines as to how to deal with drivers with OSA. Clear guidelines are limited and few are evidence based. It is unclear which aspect of OSA is the most valid measure of severity (e.g., apnea-hypopnea index vs oxygen desaturation index). Traditionally, sleepiness has been invoked as a major risk factor for impaired driving. Recently, there also has been an awareness that daytime fatigue, as distinct from sleepiness, has an impact on driving behavior. However, the precise effect of fatigue on driving, as well as its role in the formulation of guidelines, remain to be evaluated. We conclude that there are at least two major difficulties for the driving recommendation process: a) there is no accurate metric quantifying severity of driving risk associated with OSA, and b) there are substantial individual differences among those with OSA, both experiential and behavioral. We present implications from this review for future research and policy formulation.

Sleep in the Postpartum: Characteristics of First-Time, Healthy Mothers.

Goals for the present study were to (a) describe the sleep of healthy new mothers over a 6-month postpartum period, (b) examine how sleep quality relates to daytime levels of fatigue and sleepiness, and (c) evaluate the relationship between mothers' and infants' sleep parameters. The sample consisted of 37 healthy, partnered, first-time mothers who had experienced full-term vaginal birth and had a healthy infant. We investigated infants' sleep parameters and mothers' sleep, mood, and daytime functioning 2 and 6 months postpartum. We found that at 2 months postpartum, mothers reported sleeping 6 hours at night and just under one hour during the day. Despite relatively frequent nocturnal awakenings, mothers experienced minimal insomnia, nonrefreshing sleep, anxiety, depression, daytime sleepiness, or fatigue at either 2 or 6 months. The most robust relationship between mothers' and infants' sleep was in the number of nocturnal sleep-wake episodes. Of note is that none of the infant sleep parameters was related to mothers' anxiety, depression, fatigue, sleepiness, or nonrefreshing sleep at either time period. Our results indicate that (1) selected low risk new mothers are resilient in terms of sleep quality, daytime functioning, and mood and (2) these are independent of their infants' sleep parameters.

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.

Prevalence and Determinants of Insomnia After a Myocardial Infarction.

OBJECTIVES: This study analyzed cross-sectional data to examine the prevalence of insomnia and to identify factors associated with insomnia after a myocardial infarction (MI). METHODS: The participants were 209 individuals with a recent MI. At approximately 5 weeks post-MI, participants completed standardized self-report measures assessing insomnia (Insomnia Severity Index) and various sociodemographic, clinical, behavioral, and psychosocial variables, including stressful life events, depressive symptoms, and dysfunctional beliefs about sleep. RESULTS: Overall, 36% of the sample reported clinical symptoms of insomnia (Insomnia Severity Index score ≥ 10) and an additional 9% reported milder/subthreshold symptoms (Insomnia Severity Index score ≥ 8). Among patients with insomnia, a much higher proportion (62.7%) were experiencing symptoms consistent with depressed mood compared to good sleepers (13.4%). Multivariate linear regression showed that younger age, use of prescribed medication for sleep, more depressive symptoms, and greater dysfunctional beliefs about sleep were associated with insomnia severity. CONCLUSIONS: Many patients after MI experience insomnia, which may increase the illness burden and hamper recovery during the cardiac rehabilitation phase. Our findings provide a theoretical basis for evaluating cognitive-behavioral approaches for the management of insomnia in patients after MI.

Refreshing Sleep and Sleep Continuity Determine Perceived Sleep Quality.

Sleep quality is a construct often measured, employed as an outcome criterion for therapeutic success, but never defined. In two studies we examined appraised good and poor sleep quality in three groups: a control group, individuals with obstructive sleep apnea, and those with insomnia disorder. In Study 1 we used qualitative methodology to examine good and poor sleep quality in 121 individuals. In Study 2 we examined sleep quality in 171 individuals who had not participated in Study 1 and evaluated correlates and predictors of sleep quality. Across all six samples and both qualitative and quantitative methodologies, the daytime experience of feeling refreshed (nonrefreshed) in the morning and the nighttime experience of good (impaired) sleep continuity characterized perceived good and poor sleep. Our results clarify sleep quality as a construct and identify refreshing sleep and sleep continuity as potential clinical and research outcome measures.

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.

Do all individuals with sleep apnea suffer from daytime sleepiness? A preliminary investigation.

We derived descriptive characteristics related to habitual sleep duration and insomnia for individuals newly diagnosed with sleep apnea/hypopnea syndrome and evaluated how sleep apnea/hypopnea syndrome, insomnia, depression, and sleep duration relate to sleepiness and fatigue. In total, 100 participants were divided into three sleep groups: short (<7 hours), long (≥ 8 hours), and midrange (7-7.9 hours). Polysomnography, insomnia, sleepiness, fatigue, depression, and gender were assessed. Half of the participants were short sleepers. They were more likely to have insomnia than midrange or long sleepers and they were more likely to be sleepy than midrange or long sleepers, regardless of insomnia.

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.

Classifying medication use in clinical research.

BACKGROUND: Medication use data are usually collected in clinical research. Yet no standardized method for categorizing these exists, either for sample description or for the study of medication use as a variable. OBJECTIVE: The present investigation was designed to develop a simple, empirically based classification scheme for medication use categorization. METHOD: The authors used factor analysis to reduce the number of possible medication groupings. This permitted a pattern of medication usage to emerge that appeared to characterize specific clinical constellations. To illustrate the technique's potential, the authors applied this classification system to samples where sleep disorders are prominent: chronic fatigue syndrome and sleep apnea. RESULTS: The authors' classification approach resulted in 5 factors that appear to cohere in a logical fashion. These were labeled Cardiovascular or Metabolic Syndrome Medication, Symptom Relief Medication, Psychotropic Medication, Preventative Medication, and Hormonal Medication. CONCLUSIONS: The findings show that medication profile varies according to clinical sample. The medication profile for participants with sleep apnea reflects known comorbid conditions; the medication profile associated with chronic fatigue syndrome appears to reflect the common perception of this condition as a psychogenic disorder.

Impaired sleep in chronic fatigue syndrome: how is it best measured?

The goal was to examine comparative efficacy of polysomnography, actigraphy, and self-report in evaluating the sleep/wake experience of individuals with chronic fatigue syndrome (CFS). Sleep parameters were evaluated by the three measurement modalities for the same night in 49 participants with CFS. Psychological and daytime functioning were measured by self-report. Results indicate that: (a) objectively measured nocturnal sleep time effectively approximated subjective experience although nocturnal wakefulness did not; (b) total sleep time and sleep efficiency differentiated individuals with and without insomnia complaints; (c) daytime sleepiness, fatigue, and non-refreshing sleep were not reflected by the objective sleep-related measures (polysomnography and actigraphy).

Sleep apnea and psychological functioning in chronic fatigue syndrome.

Objectives were to explore: (1) whether sleep apnea/hypopnea syndrome (SAHS) should be considered a chronic fatigue syndrome (CFS) comorbidity, rather than a diagnostic exclusion criterion; and (2) to compare sleep/wake/ psychopathology in individuals with CFS, controls and another illness. Participants (CFS, SAHS, controls) completed questionnaires and were evaluated for SAHS; 68 percent were subsequently diagnosed with SAHS. CFS participants with and without SAHS did not differ. Both clinical groups were less well adjusted than controls. We conclude that SAHS should not be an exclusion criterion for CFS and that psychological problems in CFS seem a consequence of coping with illness.

Sleep disorder symptoms are common and unspoken in Canadian general practice.

OBJECTIVE: Primary care patients were surveyed for what sleep disorder symptoms they discussed with their physicians. Their responses were compared with those of new Sleep clinic patients. The goal was to discover what symptom presentation leads to a successful referral to a sleep clinic. METHODS: We recruited two samples: 191 older Primary care patients and 138 Sleep clinic patients. Participants completed the Sleep Symptom Checklist (SSC). This consists of 21 symptoms in four domains: insomnia, sleep disorder, daytime symptoms and psychological distress. All respondents indicated which symptoms had been discussed with their physician in the past year. Primary care subjects were designated as Decliners (completed SSC, refused further evaluation), Dropouts [completed some evaluation steps, but not polysomnography (PSG)] and Completers (completed PSG). RESULTS: Primary care participants frequently had symptoms but relatively few had discussed them with their doctor. Sleep clinic participants discussed significantly more symptoms with their referring physician than did Primary care Dropouts or Decliners in all categories except psychological distress. Primary care Completers, 88.5% of whom were ultimately diagnosed with sleep apnoea/hypopnoea syndrome and/or periodic limb movement disorder, also discussed their sleep disorder symptoms less frequently than did Sleep clinic patients but tended to give more prominence to symptoms of insomnia and impaired daytime function. CONCLUSIONS: The findings suggest that Primary care patients often have symptoms they do not discuss, even when a primary sleep disorder exists. The brief SSC checklist, developed in our laboratory, has potential to improve the referral rates of older primary care patients who have sleep disorder.

A diagnostic symptom profile for sleep disorder in primary care patients.

OBJECTIVE: The aim of the present study was (1) to evaluate the extent and nature of sleep disorder-related symptoms in the older primary care patient population and (2) to differentiate a pattern of self-reported symptoms that identify patients who should be referred to the sleep clinic for further evaluation. METHOD: One hundred ninety-six older adults recruited from family practice centers were administered a brief symptom survey measure. All were invited to participate in an extensive self-report evaluation, consultation with a sleep medicine specialist, and an overnight polysomnographic study. RESULTS: A substantial number of older primary care patients report symptoms related directly or indirectly to physiological sleep disorder. Over 30% of total reported some insomnia, 40% daytime sleepiness, and 10% apnea. Those participants who agreed to pursue further aspects of the study protocol endorsed a higher number and greater severity of primary sleep disorder symptoms than those who declined to continue beyond the first phases. Participants who chose to pursue polysomnography (13% of total) had a very high rate (88.5) of diagnosed sleep disorder. CONCLUSION: This study suggests that an older patient, male or female, who both endorses medically unexplained daytime sleepiness, fatigue, or other sleep disorder related symptoms and agrees to further evaluation, including overnight polysomnography, is at substantial risk for physiologically based sleep disorder. In the future, a brief, validated measure, such as the Sleep Symptom Checklist used in this study, would be an important part of the diagnostic process.

Brief and distinct empirical sleepiness and fatigue scales.

OBJECTIVE: Sleepiness and fatigue are conceptually distinct but pervasively confounded in research, measurement instruments, clinical settings, and everyday spoken language. The purpose of the present study was to construct two scales that represent unconfounded measures of sleepiness and fatigue, using widely used questionnaires. METHOD: Four questionnaires purporting to measure sleepiness [Stanford Sleepiness Scale (SSS); Epworth Sleepiness Scale (ESS)] or fatigue [Fatigue Severity Scale (FSS); Chalder Fatigue Scale (CFS)] were administered, as well as a battery measuring sleep, psychological, and health functioning variables, to three samples: 19 individuals with chronic fatigue syndrome, 14 with narcolepsy, and 11 normal control subjects. RESULTS: Analyses revealed two distinct sets of items (six sleepiness and three fatigue items) that were combined into two scales. These newly formed scales are only minimally correlated and represent separate constructs that have reasonably distinctive patterns of association. Findings were replicated and validated in a sample of 128 older individuals complaining of daytime sleepiness and/or fatigue. CONCLUSIONS: We conclude that (a) it is possible to derive empirically distinct sleepiness and fatigue scales from existing, commonly used self-report instruments, (b) the Empirical Sleepiness Scale is limited to the experience of daytime sleep tendency, while (c) the Empirical Fatigue Scale is associated more broadly with insomnia, psychological maladjustment, and poorer perceived health function. The important clinical implication of the new Empirical Sleepiness and Fatigue Scales is in the ability to identify "sleepiness which is not fatigue," a construct closely related to primary sleep disorders, such as sleep apnea/hypopnea syndrome, for which there is both available and effective treatment.

Time estimation in good and poor sleepers.

Time estimation was examined in 148 older good and poor sleepers in analogue and naturalistic sleep settings. On analogue tasks, both "empty" time and time listening to an audiobook were overestimated by both good and poor sleepers. There were no differences between groups. "Empty" time was experienced as "dragging." In the sleep setting, most poor sleepers underestimated nocturnal sleep and overestimated awake times related to their own sleep problem: sleep onset vs. sleep maintenance insomnia. Good sleepers did the opposite. Severity of sleep problem and size of time estimation errors were unrelated. Greater night-to-night wake time variability was experienced by poor than by good sleepers. Psychological adjustment was unrelated to time estimations and to magnification or minimization of sleep problems. The results suggest that for poor sleepers who magnify their sleep problem, self-monitoring can be of benefit by demonstrating that the sleep problem is not as severe as believed.

Diagnostic indicators of sleep apnea in older women and men: a prospective study.

OBJECTIVE: The purpose of the present prospective study of older adults was to (1) explore the nature and frequency of sleep disorder in a sample of self-identified, sleepy/tired individuals and (2) compare symptom presentation of women and men who were subsequently diagnosed with sleep apnea/hypopnea. METHOD: Participants were 112 community-based older adults self-identified with daytime sleepiness, fatigue, or insomnia. They underwent medical examination and overnight polysomnographic recording. Sleep quality, daytime sleepiness, fatigue, psychological adjustment, and perceived health were evaluated by self-report measures. RESULTS: Results indicated (1) a very high rate of sleep disorder identified by the self-selection process, (2) a male-to-female ratio of 1.2 to 1 for diagnosed apnea/hypopnea syndrome, (3) similar severe apnea signs and symptoms reported by both men and women, and (4) virtually no differences in psychological adjustment and few perceived differences in health limitations between men and women. (5) Female participants with sleep apnea/hypopnea could not be distinguished from participants with insomnia only on the basis of reported symptom presentation alone. CONCLUSION: Our findings suggest a strategy for identifying individuals for referral to a sleep laboratory. The findings also underline the diagnostic importance of medically unexplained complaints of daytime fatigue or sleepiness in older adults for the diagnosis and, ultimately, the effective management of sleep apnea and its attendant health risks.