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Intraindividual variability (IIV) in sleep may be a risk factor for disease above the influence of mean sleep. Associations between IIV in sleep and risk for a comprehensive set of common medical and mental health conditions have not been assessed in a representative sample. This study examined mean and IIV in total sleep time (TST), sleep quality (SQ), sleep efficiency (SE), and circadian midpoint (CM) in 771 adults recruited for an epidemiological study. Participants completed 14 days of sleep diaries to assess TST, SQ, SE, and CM, after which they reported on medical conditions and mental health symptoms. Data were analyzed using logistic regression, and models controlled for gender, body mass index, age, and race. Lower mean TST, SQ, and SE were related to increased odds of having gastrointestinal problems, depression, and anxiety. IIV in TST was related to increased odds of having neurological, breathing, and gastrointestinal problems, as well as pain and depression; all results held controlling for mean sleep and adjusting for false discovery rate. IIV in SQ and SE was not associated with odds of having any medical or mental health conditions after adjusting for false discovery rate, nor was IIV in CM or mean CM. Confirming previous research, mean TST, SQ, and SE are related to risk for gastrointestinal problems, depression, and anxiety. IIV in TST may be a unique facet of disturbed sleep that is associated with increased risk for a diverse cluster of medical and mental health conditions.

Abstract Study Objectives Stress is associated with poor and short sleep, but the temporal order of these variables remains unclear. This study examined the temporal and bi-directional associations between stress and sleep and explored the moderating role of baseline sleep complaints, using daily, intensive longitudinal designs. Methods Participants were 326 young adults (Mage = 23.24 ± 5.46), providing >2,500 nights of sleep altogether. Prospective total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), and sleep efficiency (SE) were measured using actigraphy and sleep diaries. Perceived stress was reported three times daily between: 11:00–15:00, 15:30–19:30, and 20:00–02:00. Sleep complaints were measured at baseline using the PROMIS sleep disturbance scale. Within- and between-person sleep and stress variables were tested using cross-lagged multilevel models. Results Controlling for covariates and lagged outcomes, within-person effects showed that higher evening stress predicted shorter actigraphic and self-reported TST (both p < .01). Conversely, shorter actigraphic and self-reported TST predicted higher next-day stress (both p < .001). Longer self-reported SOL and WASO (both p < .001), as well as lower actigraphic (p < .01) and self-reported SE (p < .001), predicted higher next-day stress. Between-person effects emerged only for self-reported TST predicting stress (p < .01). No significant results were found for the moderating role of baseline sleep complaints. Conclusions Results demonstrated bi-directional relations between stress and sleep quantity, and a consistent direction of worse sleep quantity and continuity predicting higher next-day stress. Results highlighted within-individual daily variation as being more important than between-individual differences when examining sleep and daytime functioning associations.

Abstract Study Objectives Insufficient sleep costs the US economy over $411 billion per year. However, most studies investigating the economic costs of sleep rely on one-time measures of sleep, which may be prone to recall bias and cannot capture variability in sleep. To address these gaps, we examined how sleep metrics captured from daily sleep diaries predicted medical expenditures. Methods Participants were 391 World Trade Center (WTC) responders enrolled in the WTC Health Program (mean age = 54.97 years, 89% men). At baseline, participants completed 14 days of self-reported sleep and stress measures. Mean sleep, variability in sleep, and a novel measure of sleep reactivity (i.e. how much people’s sleep changes in response to daily stress) were used to predict the subsequent year’s medical expenditures, covarying for age, race/ethnicity, sex, medical diagnoses, and body mass index. Results Mean sleep efficiency did not predict mental healthcare utilization. However, greater sleep efficiency reactivity to stress (b = $191.75, p = .027), sleep duration reactivity to stress (b = $206.33, p = .040), variability in sleep efficiency (b = $339.33, p = .002), variability in sleep duration (b = $260.87, p = .004), and quadratic mean sleep duration (b = $182.37, p = .001) all predicted greater mental healthcare expenditures. Together, these sleep variables explained 12% of the unique variance in mental healthcare expenditures. No sleep variables were significantly associated with physical healthcare expenditures. Conclusions People with more irregular sleep, more sleep reactivity, and either short or long sleep engage in more mental healthcare utilization. It may be important to address these individuals’ sleep problems to improve mental health and reduce healthcare costs. Graphical Abstract Graphical Abstract

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.

The psychological mechanisms by which depressed mood can lead to impaired sleep and poorer overall health remain unclear. The goal of this study was to investigate the extent to which a tendency to ruminate accounts for the associations between depressed mood and both sleep quality and self-reported health in 165 healthy young adults. Self-reported assessments of anxiety, depressed mood, rumination, sleep quality, and general health were collected at two different time points approximately 2 months apart. Structural equation modeling revealed that rumination measured at the earlier time point mediated the relationships between depressed mood and both sleep quality and health, all measured at the later time point, in a model that was a good fit to the data overall, χ 2 (50, N  = 165) = 103.08, p  < 0.001; RMSEA = 0.08 (0.06–0.10), TLI = 0.91, CFI = 0.94. Results were similar whether or not anxiety was controlled. Results indicate that rumination may be a psychological mechanism by which negative mood leads to impaired sleep and poorer perceived health.

Background There is an increasing interest in the ability to non-invasively assess biological markers of stress. Measures of inflammation following exposure to acute stress have been assessed in saliva, but a systematic review and meta-analysis of the reliability of changes in response to stress has not been conducted. The proposed review aims to update and extend a prior review of this literature by performing a systematic review and meta-analysis, conducting moderator analyses, summarizing and reviewing best practices, and providing recommendations for future research. Methods and analysis The adopted search strategy will involve the electronic databases PubMed, PsycINFO, and Embase. We will include the articles identified by a 2015 narrative review on a similar topic, as well as use reference treeing to identify additional potentially relevant articles. Identified articles will be independently screened by title and abstract. The full text of potentially relevant articles will then be retrieved and read for full inclusion criteria. Data will be extracted, and random-effects meta-analyses will be conducted in R for articles determined to meet all inclusion criteria. The primary outcome will be the magnitude of changes in inflammatory biomarkers following acute stress exposure, as indicated by Cohen’s d . Participant psychosocial or demographic (e.g., age, gender/sex, race/ethnicity, salivary flow rate, oral health status, health status) and methodological (e.g., stressor type, sample timing, assay technique, sample collection method, study quality) moderators of this response also will be examined using meta-regression. Discussion This systematic review will synthesize the evidence regarding salivary markers of inflammation in response to acute stress. We anticipate variation across studies but hypothesize that salivary markers of inflammation will increase in response to acute stress. The evidence obtained for this study will help guide future research by providing guidelines for the design and measurement of studies assessing salivary inflammation in response to acute stress. Findings will be disseminated with a peer-reviewed manuscript and an international conference presentation.

Accumulating evidence suggests that particular parenting behaviors (e.g., elevated psychological control) may increase risk for both problematic social anxiety and alcohol use among youth; however, no work has yet examined these factors together in a single model. Building developmentally sensitive models of problematic alcohol use trajectories is key to developing effective prevention and intervention strategies. The present study includes 94 adolescents (ages 14–17 years; 53.3% girls; 89.2% White) entering a treatment facility for a variety of internalizing and externalizing forms of psychological distress. Levels of perceived parental psychological control, social anxiety, and coping-related drinking motives were assessed. Higher levels of perceived psychological control were associated with a greater endorsement of coping-related drinking motives; however, a significant proportion of that association was accounted for by elevated social anxiety symptoms. These data extend the existing literature and lay groundwork for more sophisticated experimental and longitudinal designs to corroborate the findings. Moreover, personality-targeted drinking interventions for adolescents may benefit from identifying elevated perceived psychological control as a developmentally relevant risk factor for social anxiety and problematic drinking motives and administering relevant interventions (e.g., personality-targeted coping skills training, parent-involved care) before drinking patterns are established. •Higher parental psychological control is related to more social anxiety symptoms.•Higher social anxiety symptoms are related to more coping-related drinking motives.•Psychological control had an indirect effect on coping motives via social anxiety.

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.

College women experience more consequences (e.g., blacking out, unprotected/unwanted sex) on days when they engage in their heaviest drinking. To inform prevention efforts, research is needed to understand decision-making processes that influence women’s drinking behaviors at the event level. The present study used ecological momentary assessment (EMA) methods to examine: (1) associations between positive affect (PA) and negative affect (NA) and decision-making processes on days leading up to, during, and following heavy drinking events; and (2) mental health symptoms as moderators of these associations. Female undergraduate drinkers (N = 57) completed a 14-day EMA protocol on their smartphones, which included three daily assessments of PA, NA, and willingness and intentions to drink. Trait anxiety and depressive symptoms were measured before the EMA protocol and assessed as moderators. Time-varying effect models were used to examine covariation among PA, NA, and willingness and intentions to drink on the days leading up to participants’ heaviest drinking events, the day of the event itself, and the days following the event. Results revealed PA was positively associated with willingness to drink the 2 days before, the day of, and the day after the heaviest drinking event. Similar effects were observed for PA and intentions to drink. Trait anxiety moderated the association between PA and intentions to drink. Findings underscore that positive affect may influence drinking-related decision-making processes surrounding heavy drinking events, particularly in those college women low in anxiety. Results identify potential entry points for real-time intervention efforts targeting college women during times of elevated PA.

Individuals from minoritized racial/ethnic groups have higher levels of circulating inflammatory markers. However, the mechanisms underlying these differences remain understudied. The objective of this study was to examine racial/ethnic variations in multiple markers of inflammation and whether impaired sleep contributes to these racial/ethnic differences. Nurses from two regional hospitals in Texas (n = 377; 71.62% White; 6.90% Black; 11.14% Hispanic, 10.34% Asian; mean age = 39.46; 91.78% female) completed seven days of sleep diaries and actigraphy to assess mean and variability in total sleep time (TST) and sleep efficiency (SE). On day 7, blood was drawn to assess 4 inflammatory markers: C-reactive protein (CRP), Interleukin-6 (IL-6), Interleukin-1 beta (IL-1β), and tumor necrosis factor-alpha (TNF-α). Results from regression models showed differences in inflammatory markers by race/ethnicity, adjusting for age and gender. The associations between sleep parameters and inflammatory markers also varied by race/ethnicity. Among White nurses, lower mean and greater variability in actigraphy-determined TST and greater variability in diary-determined TST were associated with higher levels of IL-6. Among Black nurses, lower mean diary-determined SE was associated with higher levels of IL-6 and IL-1β. Among Hispanic nurses, greater diary-determined mean TST was associated with higher CRP. Among Asian nurses, greater intraindividual variability in actigraphy-determined SE was associated with lower CRP. Among nurses, we did not find racial/ethnic disparities in levels of inflammation. However, analyses revealed differential relationships between sleep and inflammatory markers by race/ethnicity. Results highlight the importance of using a within-group approach to understand predictors of inflammatory markers.