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Study Objectives: The Consensus Sleep Diary (CSD) was developed by experts to promote standardization of sleep diary data across the field, but studies comparing the CSD with other assessments of sleep parameters are scarce. This study compared the CSD with 3 other methods to assess sleep duration, efficiency, and timing. Methods: Participants (n = 80) were community adults (mean age = 32.65 years, 63% female) who completed the time-stamped CSD and used single-channel electroencephalography (EEG) and actigraphy for 7 days at home, then completed a retrospective sleep questionnaire. Total sleep time (TST), sleep efficiency (SE), and sleep midpoint were compared using correlations, Bland-Altman plots, and limits of agreement (adjusted for repeated measures). Results: Correlations between the CSD and all methods on TST were large ( r s = .63–.75). Adjusted CSD average TST was 40 minutes greater than with EEG and 31 minutes greater than with actigraphy. Correlations between CSD, actigraphy, and EEG for SE were small ( r s = .18), and there was a medium correlation with questionnaire ( r = .42). Adjusted CSD average SE was 7% greater than EEG and 6% greater than actigraphy; both demonstrated heteroscedasticity. Sleep midpoint correlations between CSD and all methods were large ( r = .92–.99). Adjusted CSD was, on average, 6 minutes later than EEG and 1 minute later than actigraphy. Questionnaire-derived sleep parameters demonstrated nonconstant bias; lesser values had positive bias and greater values had negative bias. Conclusions: The time-stamped CSD led to meaningful overestimations of TST and SE as measured by objective/inferred methods. However, sleep timing was rather accurately assessed with the CSD in comparison to objective/inferred measures. Researchers should carefully consider which sleep assessment methods are best aligned with their research question and parameters of interest, as methods do not demonstrate complete agreement. Citation: Dietch JR, Taylor DJ. Evaluation of the Consensus Sleep Diary in a community sample: comparison with single-channel electroencephalography, actigraphy, and retrospective questionnaire. J Clin Sleep Med . 2021;17(7):1389–1399.

Abstract Study Objectives To naturalistically measure sleep disturbances following stress exposure (i.e. sleep reactivity) and stress responses following sleep disturbances (i.e. stress reactivity) at the daily level and prospectively examine these reactivity measures as individual risk factors for insomnia. Methods The study assessed 392 nurses’ sleep and stress for 14 days using daily diaries and actigraphy. Self-reported insomnia symptoms were assessed at the end of the 14 days, as well as 6 and 11 months later. Results In multilevel modeling, while negative fixed effects indicated that shorter total sleep time (TST) and lower sleep efficiency led to greater stress and vice versa, significant random effects indicated individual variability in sleep reactivity and stress reactivity. In latent score change modeling, greater sleep reactivity (lower diary-determined sleep efficiency following greater stress) and greater stress reactivity (greater stress following shorter diary-determined TST) at baseline were associated with greater insomnia symptoms at 11 months (b = 10.34, p = .026; b = 7.83, p = .03). Sleep reactivity and stress reactivity also interacted to predict insomnia symptoms, such that sleep reactivity was significantly associated with insomnia symptoms for those with high (+1 SD) stress reactivity (b = 17.23, p = .001), but not for those with low (−1 SD) stress reactivity (b = 5.16, p = .315). Conclusions Baseline stress reactivity and sleep reactivity independently as well as jointly predict greater insomnia symptoms 11 months later. The findings delineate processes underlying the stress-diathesis model of insomnia and highlight the utility of longitudinal and naturalistic measures of sleep and stress reactivity. Graphical Abstract Graphical Abstract

Study Objectives: Examine the psychometric properties of the PSQI in two U.S. college samples. Methods: Study I assessed convergent and divergent validity in 866 undergraduates who completed a sleep diary, PSQI, and other sleep and psychosocial measures. Study II assessed PSQI insomnia diagnostic accuracy in a separate sample of 147 healthy undergraduates with and without insomnia. Results: The PSQI global score had only moderate convergent validity with sleep diary sleep efficiency (prospective global measure of sleep continuity; r = 0.53), the Insomnia Severity Index ( r = 0.63), and fatigue ( r = 0.44). The PSQI global score demonstrated good divergent validity with measures of excessive daytime sleepiness ( r = 0.18), circadian preference ( r = −0.08), alcohol ( r = 0.08) and marijuana ( r = 0.05) abuse scales, and poor divergent validity with depression ( r = 0.48), anxiety ( r = 0.40), and perceived stress ( r = 0.33). Examination of other analogous PSQI and sleep diary components showed low to moderate convergent validity: sleep latency ( r = 0.70), wake after sleep onset ( r = 0.37), sleep duration ( r = 0.51), and sleep efficiency ( r = −0.32). Diagnostic accuracy of the PSQI to detect insomnia was very high (area under the curve = 0.999). Sensitivity and specificity were maximized at a cutoff of 6. Conclusions: The PSQI demonstrated moderate convergent validity compared to measures of insomnia and fatigue and good divergent validity with measures of daytime sleepiness, circadian phase preference, and alcohol and marijuana use. The PSQI demonstrated considerable overlap with depression, anxiety, and perceived stress. Therefore, caution should be used with interpretation. Citation: Dietch JR, Taylor DJ, Sethi K, Kelly K, Bramoweth AD, Roane BM. Psychometric evaluation of the PSQI in U.S. college students. J Clin Sleep Med 2016;12(8):1121–1129.

Abstract Study Objectives Nurses are a group at high risk for nightmares, yet little is known about the rate of nightmare disorder and associated psychosocial factors in this group in part attributable to the lack of a self-report questionnaire to assess DSM-5 criteria for nightmare disorder. Aims of the current study were to (1) report on development and initial validity of a self-report measure of DSM-5 nightmare disorder, and (2) examine the rate and associated factors of nightmare disorder among nurses. Methods Nurses (N = 460) completed baseline measures online including Nightmare Disorder Index (NDI), psychosocial and demographic questionnaires. A subset (n = 400) completed 14 days of sleep diaries and actigraphy. Results NDI demonstrated satisfactory psychometric characteristics as indicated by good internal consistency (α = 0.80), medium inter-item correlations (r = 0.50), medium to large item-total (r = 0.55–0.85) and convergent correlations (0.32–0.45), and small to medium discriminant correlations (–0.12–0.33). Per NDI, 48.7% of nurses reported no nightmares in the past month, 43.9% met partial/subthreshold criteria and 7.4% met full criteria for probable nightmare disorder. Nurses with nightmare disorder demonstrated significantly poorer psychosocial functioning (i.e. posttraumatic stress, depression, anxiety, stress) than those with subthreshold nightmare symptoms, who had poorer functioning than those with no nightmares. Conclusions NDI is an efficient and valid self-report assessment of nightmare disorder. Nurses have high rates of nightmares and nightmare disorder which are associated with poorer psychosocial functioning. We recommend increased nightmare screening particularly for high-risk populations such as healthcare workers.

Extensive literature support telehealth as a supplement or adjunct to in-person care for the management of chronic conditions such as congestive heart failure (CHF) and type 2 diabetes mellitus (T2DM). Evidence is needed to support the use of telehealth as an equivalent and equitable replacement for in-person care and to assess potential adverse effects. We conducted a systematic review to address the following question: among adults, what is the effect of synchronous telehealth (real-time response among individuals via phone or phone and video) compared with in-person care (or compared with phone, if synchronous video care) for chronic management of CHF, chronic obstructive pulmonary disease, and T2DM on key disease-specific clinical outcomes and health care use? We followed systematic review methodologies and searched two databases (MEDLINE and Embase). We included randomized or quasi-experimental studies that evaluated the effect of synchronously delivered telehealth for relevant chronic conditions that occurred over ≥2 encounters and in which some or all in-person care was supplanted by care delivered via phone or video. We assessed the bias using the Cochrane Effective Practice and Organization of Care risk of bias (ROB) tool and the certainty of evidence using the Grading of Recommendations Assessment, Development, and Evaluation. We described the findings narratively and did not conduct meta-analysis owing to the small number of studies and the conceptual heterogeneity of the identified interventions. We identified 8662 studies, and 129 (1.49%) were reviewed at the full-text stage. In total, 3.9% (5/129) of the articles were retained for data extraction, all of which (5/5, 100%) were randomized controlled trials. The CHF study (1/5, 20%) was found to have high ROB and randomized patients (n=210) to receive quarterly automated asynchronous web-based review and follow-up of telemetry data versus synchronous personal follow-up (in-person vs phone-based) for 1 year. A 3-way comparison across study arms found no significant differences in clinical outcomes. Overall, 80% (4/5) of the studies (n=466) evaluated synchronous care for patients with T2DM (ROB was judged to be low for 2, 50% of studies and high for 2, 50% of studies). In total, 20% (1/5) of the studies were adequately powered to assess the difference in glycosylated hemoglobin level between groups; however, no significant difference was found. Intervention design varied greatly from remote monitoring of blood glucose combined with video versus in-person visits to an endocrinology clinic to a brief, 3-week remote intervention to stabilize uncontrolled diabetes. No articles were identified for chronic obstructive pulmonary disease. This review found few studies with a variety of designs and interventions that used telehealth as a replacement for in-person care. Future research should consider including observational studies and studies on additional highly prevalent chronic diseases.

Study Objectives: Examine bidirectional associations between daytime napping and nighttime sleep among pregnant individuals with insomnia disorder. Methods: We used baseline data from a randomized controlled trial of insomnia treatment during pregnancy (n = 116). Participants in their second or third trimester of pregnancy self-reported daytime napping and nighttime sleep parameters using a sleep diary and wore an Actiwatch-2 during the same 7-day period. Linear regression models, accounting for intraindividual correlation, were used to estimate associations between daytime napping and nighttime sleep parameters (duration, efficiency, quality, awakenings). Models were also stratified by trimester of pregnancy. Results: Sixty-three percent of participants reported napping on at least 1 day. Among participants in the second trimester (65%), napping 15–59 minutes was associated with 6.3% greater self-reported sleep efficiency (95% confidence interval: 2.3, 10.2) and 0.5 units greater self-reported sleep quality (95% confidence interval: 0.0, 0.9) that night; napping 60+ minutes was associated with 0.6 hours shorter actigraphy-measured sleep duration (95% confidence interval: −1.0, −0.2). Napping was not associated with nighttime sleep overall or during the third trimester. Nighttime sleep parameters were not associated with napping duration the following day. Conclusions: Among pregnant individuals with insomnia in the second trimester, short napping duration was associated with higher self-reported sleep efficiency and quality; long napping duration was associated with shorter actigraphy-measured sleep duration. Additional research is needed to examine the interaction between nap duration and nap timing. In the future, these results may lead to more nuanced recommendations for daytime napping among pregnant individuals with insomnia disorder. Clinical Trial Registration: Registry: ClinicalTrials.gov; Name: Treatment for Insomnia during Pregnancy; URL: https://clinicaltrials.gov/ct2/show/NCT01846585 ; Identifier: NCT01846585. Citation: Badon SE, Dietch R, Simpson N, Lyell DJ, Manber R. Daytime napping and nighttime sleep in pregnant individuals with insomnia disorder. J Clin Sleep Med . 2023;19(2):371–377.

BackgroundNightmares and insomnia are significant concerns that commonly co-occur with each other and with other health disorders. Limited research has examined the unique and shared aspects of insomnia and nightmares, and little is known about sleep in US National Guard personnel. This study sought to determine the prevalence and psychosocial correlates of nightmares with and without insomnia in US National Guard personnel.MethodNational Guard personnel (N = 841) completed an online survey and were classified as having nightmares only, insomnia only, both, or neither, using a minimum nightmare frequency of “less than once a week” and an Insomnia Severity Index cutoff of ≥ 15. Analyses examined differences in demographics, physical health, and psychosocial variables and in the prevalence of nightmares and insomnia in personnel with physical and mental health problems.ResultsIn this sample, 32% reported nightmares only, 4% reported insomnia only, and 12% reported both. Those in the youngest age group (18–21) were more likely to have no nightmares or insomnia. Those with both nightmares and insomnia had more deployments. Nightmares and insomnia were associated with poorer physical and mental health and greater prevalence of comorbid physical and mental health conditions. Personnel with both insomnia and nightmares reported the greatest severity of comorbid conditions.ConclusionUS National Guard personnel with nightmares and/or insomnia reported worse mental and physical health impairment than those without these conditions. Personnel may benefit from screening for nightmares and insomnia and referrals for evidence-based treatment.

Study Objectives: Shift work is common yet does not always result in Diagnostic and Statistical Manual of Mental Disorders , fifth edition (DSM-5)–defined shift work sleep disorder (SWD). This study reports on the reliability and validity of the DSM-5 informed Shift Work Disorder Index (SWDI), the presence of probable SWD in nurses, and demographic, sleep, and psychosocial correlates. Methods: Nurses (n = 454) completed the SWDI, psychosocial, and demographic questionnaires. Of the sample, n = 400 completed 14 days of sleep diaries, actigraphy, and additional questionnaires. Results: The global SWDI demonstrated excellent internal consistency (α = .94), as well as good convergent and divergent validity in the nurse sample. Thirty-one percent of nurses were past-month shift workers, with 14% (ie, 44% of shift workers) having probable SWD based on SWDI. Nurses who worked shift work and/or met SWD criteria were more likely to be younger and unmarried and less likely to have children than day workers and reported greater evening chronotype, insomnia, nightmares, and sleep-related impairment, greater depression, anxiety, posttraumatic stress, and perceived stress symptoms, as well as later and more variable sleep midpoint (actigraphy), shorter sleep duration (actigraphy, diaries), and lower sleep efficiency (diaries). Conclusions: The SWDI is an efficient and valid self-report assessment of DSM-5–defined SWD. Shift work and/or SWD were prevalent and associated with worse sleep and psychosocial health, particularly among nurses with probable SWD. Citation: Taylor DJ, Dietch JR, Wardle-Pinkston S, et al. Shift Work Disorder Index:initial validation and psychosocial associations in a sample of nurses. J Clin Sleep Med . 2022;18(10):2339–2351.