Subjective Sleep Research Articles

Sleep Quality Moderates the Associations between Cardiorespiratory Fitness and Hippocampal and Entorhinal Volume in Middle-Aged and Older Adults.

As individuals age, the entorhinal cortex (ERC) and hippocampus-crucial structures for memory-tend to atrophy, with related cognitive decline. Simultaneously, lifestyle factors that can be modified, such as exercise and sleep, have been separately linked to slowing of brain atrophy and functional decline. However, the synergistic impact of fitness and sleep on susceptible brain structures in aging adults remains uncertain. We examined both independent and interactive associations of fitness and subjective sleep quality with regard to ERC thickness and hippocampal volume in 598 middle-aged and older adults from the Human Connectome Lifespan Aging Project. Cardiorespiratory fitness was assessed using the 2-min walk test, whereas subjective sleep quality was measured with the continuous Pittsburgh Sleep Quality Index global score. High-resolution structural magnetic resonance imaging was used to examine mean ERC thickness and bilateral hippocampal volume. Through multiple linear regression analyses, we investigated the moderating effects of subjective sleep quality on the association between fitness and brain structure, accounting for age, sex, education, body mass index, gait speed, and subjective physical activity. We found that greater cardiorespiratory fitness, but not subjective sleep quality, was positively associated with bilateral hippocampal volume and ERC thickness. Notably, significant interaction effects suggest that poor subjective sleep quality was associated with a weaker association between fitness and both hippocampal volume and ERC thickness. Findings suggest the potential importance of both cardiorespiratory fitness and subjective sleep quality in preserving critical, age-vulnerable brain structures. Interventions targeting brain health should consider potential combined effects of sleep and fitness on brain health.

Clinical effectiveness of internet-based cognitive behavioral therapy for insomnia in routine secondary care: results of a randomized controlled trial.

Delivering cognitive behavioral therapy for insomnia over the internet bears the advantage of accessibility and uptake to many patients suffering from chronic insomnia. In the current study, we aimed to investigate the effectiveness of internet-based cognitive behavioral therapy for insomnia (iCBT-I) in routine care. We conducted a two-arm non-blinded randomized controlled trial with care as usual (CAU) as a control condition. Participants were recruited in a specialized outpatient sleep medicine department. Both arms had access to other healthcare resources, and the intervention group had access to the iCBT-I program for 2 months. The primary outcome was insomnia severity, measured by the Insomnia Severity Index (ISI). Secondary outcomes were fatigue severity, daytime sleepiness, affective symptoms, dysfunctional beliefs and attitudes about sleep, sleep locus of control, sleep hygiene, sleep efficiency (SE), sleep onset latency, wake time after sleep onset (WASO), and total sleep time (TST). Linear mixed models for repeated measures were used to analyze the longitudinal data at baseline, post-treatment, and after 3 months of follow-up. The trial was registered at www.clinicaltrials.gov (NCT04300218 21.04.2020). The results showed a significant time*group interaction effect (p = 0.001) at post-treatment with between-group effect size (d = 0.51), indicating that the ISI decreased by a score of 3.8-fold in the iCBT-I group than in the CAU group. There was no significant difference in ISI between groups at follow-up. Regarding secondary outcomes, dysfunctional beliefs about sleep, SE, and WASO decreased significantly during treatment in the intervention group with between-group effect sizes d = 0.35, d = -0.51, and d = 0.47, respectively. At the follow-up, between-group effects on DBAS and SE remained significant: d = 0.36 and d = -0.63, respectively. For TST, we observed a significant time*group effect of d = -0.38 only after follow-up. Our findings suggest that iCBT-I has a significant effect on insomnia severity at post-treatment compared to CAU. iCBT-I further improved dysfunctional beliefs about sleep and improved subjective sleep characteristics, such as SE, WASO, and TST during 3 months after treatment. www.clinicaltrials.gov, identifier (NCT04300218).

Associations of dietary patterns with objective and subjective sleep duration and sleep quality in a population-based cohort study

ObjectiveTo examine cross-sectional and longitudinal associations of various types of dietary patterns with self-reported sleep quality and with actigraphy-estimated sleep parameters in the prospective, population-based Rotterdam Study. MethodsFor each participant, scores for five different dietary patterns were derived based on food frequency questionnaires; two pre-defined scores developed to estimate adherence to the Dutch dietary guidelines and to the Mediterranean diet; and three data-driven scores indicating a prudent, unhealthy and typical Dutch diet. In 2589 participants (median age 56.9 years; 58 % female), self-rated sleep quality was assessed with the Pittsburgh Sleep Quality Index. In 533 participants, actigraphs were worn for an average of 6.8 days (SD: 0.7) to estimate total sleep time, sleep onset latency, wake after sleep onset, and sleep efficiency. Sleep parameters were measured at baseline and 3–6 years later. Multiple linear regression was used to assess cross-sectional and longitudinal associations. ResultsNo statistically significant associations between dietary patterns and total sleep time, sleep onset latency, wake after sleep onset, sleep efficiency and subjective sleep quality were observed in cross-sectional or longitudinal analyses. To illustrate, the effect estimate for sleep duration was 2.7 min per night (95 % CI -2.1, 7.5) per 5 point increase in Mediterranean diet score in the cross-sectional analyses. Furthermore, in longitudinal analyses, the effect estimate for sleep duration was −1.0 min per night (95 % CI -5.2, 3.1) per SD increase in the prudent diet. ConclusionsOur results suggest that dietary patterns are not associated with sleep in this population-based cohort study. Trial registrationNetherlands National Trial Register and WHO International Clinical Trials Registry Platform (ICTRP; https://apps.who.int/trialsearch/) shared catalogue number NL6645/NTR6831. Registered November 13th, 2017.

Poor subjective sleep quality and trait impulsivity in patients with bipolar disorder.

Sleep disturbance and impulsivity are key components of mood vulnerability in bipolar disorder (BD), but few studies have assessed the association between these two symptoms among patients with BD. Forty-seven euthymic patients with bipolar I disorder (BDI) or bipolar II disorder (BDII) and 58 age- and sex-matched healthy controls were enrolled in this cross-sectional study. Trait impulsivity was measured using the Barratt Impulsiveness Scale Version 11 (BIS-11), which yielded 3 second-order factors: attention, motor, and non-planning. Subjective sleep quality was assessed using the self-reported Pittsburgh Sleep Quality Index (PSQI). General linear models (GLMs) were used to assess the associations between subjective poor sleep and trait impulsivity with multiple testing corrections. Patients with BD scored higher in BIS-11 and PSQI than healthy controls. PSQI total scores positively correlated with BIS-11 total scores, while sleep disturbance and daytime dysfunction were associated with attentional impulsiveness after controlling for covariates. Participants with higher PSQI total scores (>10) had higher scores in BIS-11 total, attention, and non-planning than those with low PSQI scores (≤5). These findings support the hypothesis that poor sleep quality might lead to impulsivity and add to the growing evidence that improving sleep quality may be a therapeutic target for patients with BD.

Association between magnesium deficiency score and sleep quality in adults: A population-based cross-sectional study

BackgroundThe association between magnesium status and sleep quality is unclear. The aim of this study was to determine the relationship between renal reabsorption-related magnesium depletion score (MDS) and sleep quality. MethodsThis study was conducted through a cross-sectional survey of adults aged ≥20 years who participated in NHANES 2005–2014. We used weighted logistic regression to examine the association between MDS and sleep quality and performed trend tests to analyze for the presence of a dose-response relationship. Subgroup analyses were performed based on various sleep outcomes and covariates. ResultsA total of 20,585 participants were included in the study, with a mean age of 48.8 years and 50.7 % female. After adjusting for all covariates, we found a graded dose-response relationship between MDS and sleep trouble as well as sleep disorder. Further analyses revealed a significant positive association between MDS and sleep apnea (OR = 3.01; 95 % CI 1.37–6.62), but no association with restless legs, insomnia or insufficient sleep. In addition, subgroup analyses revealed that middle-aged, male, obese, low magnesium intake, and depressed patients were more prone to sleep trouble and sleep disorder; interestingly, MDS was positively associated with excessive sleep in subjects ≥60 years and without depression. ConclusionsOur study found a significant association between MDS and sleep quality, particularly sleep apnea, but adequate magnesium intake may be beneficial in mitigating this association. MDS may be associated with excessive sleep in older adults, but not with insufficient sleep or insomnia.

Association between sleep quality and habits of electronic media use among young adults with different circadian typology

Background: Circadian preference refers to individual differences for mental and physical activity in the morning and evening. We hypothesized, that inadvertent use of electronic media can cause circadian misalignment that influences sleeping habits and sleep quality of young adults. Aims and Objectives: The aim of the study was to investigate the effect of circadian preferences on sleeping habits and the association of electronic media use with sleep quality and sleep disturbances. Materials and Methods: A total of 188 subjects were enrolled and divided into three groups: Evening, intermediate, and morning chronotype based on the Morningness-Eveningness score. Electronic media use at bedtime and duration of use were assessed subjectively. Sleep quality and subjective sleep disturbances, daytime sleepiness, and chronotype were assessed by the Pittsburgh Sleep Quality Index, Epworth Sleepiness Score, and Morningness-Eveningness Questionnaire Self-assessment version, respectively. Results: The majority of subjects with the evening chronotypes suffered from poor sleep quality compared to other chronotypes and the difference was statistically significant. In evening-type subjects, electronic media use at bedtime, long sleep latency, short sleep duration, and daytime sleepiness were significantly associated with poor sleep quality with odds ratios of 2.34 (1.08–5.08), 11.42 (4.98–26.19), 8.54 (1.01–68.24), and 1.68 (1.03–2.73), respectively. Conclusion: The majority of evening-type subjects had poor sleep quality, altered sleeping habits, and electronic media use at bedtime is significantly associated with poor sleep quality. Hence, history regarding sleep habits and lifestyle, especially electronic media use, should be taken from young adults, who are coming to the outpatient department for other than sleep disorders, to prevent the development of health-related problems.

Determination of Factors Affecting Sleep Quality in Postoperative Patients and Improvement of Correctible Causes

Patients who had postoperative major abdominal surgery and major cardiovascular surgery were included in our study. A total of 103 patients were included in the study. Patients were evaluated with the Pitssburg sleep quality index questionnaire between five and seven days postoperatively. All questionnaires and scales were administered by the same researcher without specifying the participant's name in order to maintain consistency. After explaining the scope and purpose of the study, written consent of all participants was obtained. Pittsburg sleep quality index is a 19-item self-report scale that evaluates sleep quality and disorder. It consists of 24 questions, 19 questions are self-report questions, 5 questions are questions to be answered by the spouse or roommate. The 18 scored questions of the scale consist of 7 components. Subjective Sleep Quality, Sleep Latency, Sleep Duration, Habitual Sleep Efficiency, Sleep Disorder, Sleeping Drug Use, and Daytime Dysfunction. Each component is evaluated over 0-3 points. The total score of the 7 components gives the scale total score. The total score ranges from 0 to 21. A total score greater than 5 indicates "poor sleep quality". In our study, we aimed to investigate whether anesthetic agents, concomitant diseases, type of surgery, and some biochemical parameters affect sleep quality in postoperative patients. The diseases we investigated included hypertension, chronic obstructive pulmonary diseases, asthma, heart failure, cerebrovascular diseases, thyroid function disorders, diabetes mellitus, chronic kidney diseases, and chronic kidney failure. We also evaluated the sociocultural levels of the patients as an important part of the study. Educational status of our patients, literacy rates and occupations were also important to us. In our study, we showed that anesthetic agents [hypnotic and opioid] had no effect on sleep quality, and sleep quality was worse in cardiovascular surgery cases, although it was not statistically significant. We showed that a long operation time (5 hours and more) impairs postoperative sleep quality, thyroid diseases affect sleep quality badly, and sleep disorders are more common especially in patients with COPD. We think that sleep has a very important place in accelerating the recovery process of postoperative patients and that sleep disorders should be questioned better and that postoperative patients with sleep disorders should definitely seek psychological and medical help.

The moderating role of conscientiousness in the temporal association of stress on sleep.

Personality traits have been associated with sleep problems and stress experience. However, their impact on objective sleep and the temporal relationship of stress on sleep has remained elusive. This study examined whether daytime stress predicts sleep the following night, and the moderating role of neuroticism and conscientiousness in this relationship. To introduce stress variability in natural daily stressors, we measured college students (N = 92) during exams (e.g. high academic stress) and at the start of new course period (e.g. low academic stress). Both objective (actigraphy) and subjective sleep, and daily self-reported stress, were measured for 14 days and personality traits once. Reported daily stress was significantly higher in the exam period compared with baseline, suggesting that our natural manipulation did indeed result in variation in stress levels. Intra-individual daily variations in stress were not associated with the following night's sleep timing, duration or fragmentation, implying that more stress during the day did not affect sleep the following night. Higher levels of neuroticism were associated with poorer daily subjective sleep quality and higher stress levels over the complete period. Neuroticism did not moderate the temporal association of stress on sleep. Conscientiousness moderated the association between intra-individual stress and sleep fragmentation, and intra-individual stress and wake-up time. This implied that highly conscientious participants experienced less sleep fragmentation and woke-up earlier after more stressful days. These results suggest an interconnected relationship among stress, sleep and personality. Focusing on one aspect, like handling stress or enhancing sleep quality, might yield positive effects on the rest.

Factors associated with the fragmentation and stability of the rest-activity rhythm in adults and older adults

ABSTRACT This cross-sectional study aimed to identify factors related to the fragmentation and stability of the rest-activity rhythm (RAR) in adults and older adults. It is part of a larger research project investigating aspects concerning sleep duration, quality, and disorders in a representative subsample of the population. Sociodemographic data, lifestyle, health habits and subjective sleep variables were obtained; RAR records were collected by means of actigraphy and analyzed using non-parametric variables (IS, IV, M10, L5, RA, sL5, and sM10). Study participants were 313 individuals with complete actigraphy records. There was a prevalence of older adults (50.2%) and females (51.1%). Females, individuals with 4–8 y of education, and those who used alcohol abusively exhibited lower RAR fragmentation. Higher fragmentation was observed in individuals who napped and those reporting poor sleep quality. Greater rhythm stability was evident in females, older adults, those with 4–8 y of education, and those who had a partner. Smokers demonstrated lower RAR stability. These findings may contribute valuable insights for decision-making aimed at preventing and treating issues related to fragmentation and instability of the rhythm and its possible consequences to health.

Subjective-Objective Sleep Discrepancy in a Predominately White and Educated Older Adult Population: Examining the Associations With Cognition and Insomnia.

This study examined associations between various cognitive domains and sleep discrepancy (self-reported vs objectively measured sleep), and evaluated interactive associations with insomnia status (non-insomnia vs insomnia). Older adults (N = 65, Mage = 68.72, SD = 5.06, 43 insomnia/22 non-insomnia) aged 60+ reported subjective sleep (7 days of sleep diaries), objective sleep assessment (one-night polysomnography, PSG, via Sleep Profiler during the 7-day period), and completed cognitive tasks (National Institutes of Health Toolbox-Cognition Battery) measuring attention and processing speed, working memory, inhibitory control, cognitive flexibility, and episodic memory. The sleep diary variable corresponding to the same one night of PSG was used to calculate the sleep discrepancy (diary minus PSG parameter) variables for total sleep time (TST), sleep onset latency, wake after sleep onset, and sleep efficiency. Regression analyses determined independent and interactive (with insomnia status) associations between cognition and sleep discrepancy, controlling for age, sex, apnea-hypopnea index, and sleep medication usage. Working memory interacted with insomnia status in associations with sleep discrepancy related to TST and sleep efficiency. In those with insomnia, worse working memory was associated with shorter self-reported TST (p = .008) and lower sleep efficiency (p = .04) than PSG measured. In older adults with insomnia, worse working memory may be a contributing factor to sleep discrepancy. Future investigations of underlying neurophysiological factors and consideration of other objective sleep measures (actigraphy) are warranted. Prospective findings may help determine whether sleep discrepancy is a potential marker of future cognitive decline.

Effects of GSM Phone Radiation on Sleep Quality

This study examines the correlation between exposure to GSM phone radiation and the quality of sleep in subjects. A varied group of 15 adults between the ages of 18 and 65 was selected, with demographic information gathered in addition to objective and subjective sleep measurements. Specialized equipment was used to monitor GSM phone radiation levels, while sleep quality was evaluated using polysomnography (PSG) devices and self-reported sleep diaries. Correlation analyses showed substantial links between GSM phone radiation exposure and different sleep metrics such as total sleep time, sleep onset delay, sleep efficiency, and subjective sleep quality ratings. Higher levels of GSM phone radiation were linked to longer total sleep lengths and longer sleep onset latencies, as well as worse sleep efficiency and poorer subjective sleep quality. The results emphasize the significance of examining how mobile phone use can affect sleep quality and emphasize the necessity for additional study to clarify the underlying mechanisms and determine causation.

Predominant cardiac sympathetic modulation during wake and sleep in patients with Rett syndrome

BackgroundRett syndrome (RTT) is a rare neurological disorder primarily associated with mutations in the methyl-CpG-binding protein 2 (MECP2) gene. The syndrome is characterized by cognitive, social, and physical impairments, as well as sleep disorders and epilepsy. Notably, dysfunction of the autonomic nervous system is a key feature of the syndrome. Although Heart Rate Variability (HRV) has been used to investigate autonomic nervous system dysfunction in RTT during wakefulness, there is still a significant lack of information regarding the same during sleep. Therefore, our aim was to investigate cardiovascular autonomic modulation during sleep in subjects with RTT compared to an age-matched healthy control group (HC). MethodA complete overnight polysomnographic (PSG) recording was obtained from 11 patients with Rett syndrome (all females, 10 ± 4 years old) and 11 HC (all females, 11 ± 4 years old; p = 0.48). Electrocardiogram and breathing data were extracted from PSG and divided into wake, non-REM, and REM sleep stages. Cardiac autonomic control was assessed using symbolic non-linear heart rate variability analysis. The symbolic analysis identified three patterns: 0 V% (sympathetic), 2UV%, and 2LV% (vagal). ResultsThe 0 V% was higher in the RTT group than in the HC group during wake, non-REM, and REM stages (p < 0.01), while the 2LV and 2UV% were lower during wake and sleep stages (p < 0.01). However, the 0 V% increased similarly from the wake to the REM stage in both RTT and HC groups. ConclusionsTherefore, the sympatho-vagal balance shifted towards sympathetic predominance and vagal withdrawal during wake and sleep in RTT, although cardiac autonomic dynamics were preserved during sleep.

Interindividual differences in mindfulness are linked to sleep-electroencephalographic characteristics.

Mindfulness describes the ability to focus on the presence, including one's thoughts and feelings. Trait mindfulness-a person's inherent tendency to be mindful-has been connected to increased subjective sleep quality, but evidence from objective EEG-based sleep measures is lacking. Here, we investigate whether objective EEG-based sleep parameters explain interindividual differences in trait mindfulness. Whole-night polysomnographic data were gathered from 52 healthy adults (27 females; agemean = 21.5 [SE = 0.28]) in their homes using a portable high-density EEG device. Trait mindfulness was assessed using the Five Facet Mindfulness Questionnaire short form (FFMQ-SF). Trait mindfulness was positively correlated at trend level with the percentage of rapid eye movement (REM), but not N1, N2, or slow wave sleep. Additionally, those exhibiting less REM beta/gamma power and NREM beta power displayed higher trait mindfulness and vice versa. Lastly, we replicated findings connecting higher trait mindfulness to better subjective sleep quality. REM sleep is pivotal for emotional processing. Decreased REM high-frequency activity was suggested to reflect adrenergic reduction that defuses affective experiences. Increased NREM high-frequency activity is a marker for cognitive hyperarousal in insomnia. We speculate that differences in trait mindfulness might be explained by differences in REM- and NREM-sleep functions that promote ideal emotional regulation and prevent hyperarousal.

Neural Network-Based Prediction of Perceived Sleep Quality Through Wearable Device Data.

This study focuses on the development of a neural network model to predict perceived sleep quality using data from wearable devices. We collected various physiological metrics from 18 participants over four weeks, including heart rate, physical activity, and both device-measured and self-reported sleep quality. The primary objective was to correlate wearable device data with subjective sleep quality perceptions. Our approach used data processing, feature engineering, and optimizing a Multi-Layer Perceptron classifier. Despite comprehensive data analysis and model experimentation, the predictive accuracy for perceived sleep quality was moderate (59%), highlighting the complexities in accurately quantifying subjective sleep experiences through wearable data. Applying a tolerance of 1 grade (on a scale from 1-5), increased accuracy to 92%. More in-depth analysis is required to fully comprehend how wearables and artificial intelligence might assist in understanding sleep behavior.

Subjective sleep more predictive of global cognitive function than objective sleep in older adults: A specification curve analysis

ObjectivesSleep is associated with cognitive function in older adults. In the current study, we examined this relationship from subjective and objective perspectives, and determined the robustness and dimensional specificity of the associations using a comprehensive modelling approach. MethodsMultiple dimensions of subjective (sleep quality and daytime sleepiness) and objective sleep (sleep stages, sleep parameters, sleep spindles, and slow oscillations), as well as subjectively reported and objectively measured cognitive function were collected from 55 older adults. Specification curve analysis was used to examine the robustness of correlations for the effects of sleep on cognitive function. ResultsRobust associations were found between sleep and objectively measured cognitive function, but not with subjective cognitive complaints. In addition, subjective sleep showed robust and consistent associations with global cognitive function, whereas objective sleep showed a more domain-specific association with episodic memory. Specifically, subjective sleep quality and daytime sleepiness correlated with global cognitive function, and objective sleep parameters correlated with episodic memory. ConclusionsOverall, associations between sleep and cognitive function in older adults depend on how they are measured and which specific dimensions of sleep and domains of cognitive function are considered. It highlights the importance of focusing on specific associations to ameliorate the detrimental effects of sleep disturbance on cognitive function in later life.

Sleep quality during and after severe acute respiratory syndrome coronavirus 2 (COVID-19) lockdowns in the UK: Results from the SleepQuest study.

Sleep is fundamental to health. The aim of this study was to analyse and determine factors predicting sleep quality during and after national lockdowns due to severe acute respiratory syndrome coronavirus 2 (COVID-19) in the UK. A longitudinal online survey-based study (SleepQuest) involving UK adults was administered in Spring 2020, Winter 2020, and Winter 2022 including questionnaires probing sleep quality, depression, anxiety, beliefs about sleep, demographics, COVID-19 status, and exercise. The primary outcome was sleep quality (Pittsburgh Sleep Quality Index). A linear mixed-effects model evaluated factors associated with baseline and longitudinal sleep quality. Complete data were provided by 3306 participants in Spring 2020, 2196 participants in Winter 2020, and 1193 in Winter 2022. Participants were mostly female (73.8%), white (97.4%), and aged over 50 years (81.0%). On average, participants reported poor sleep quality in Spring 2020 (mean [SD] Pittsburgh Sleep Quality Index score = 6.59 [3.6]) and Winter 2020 (mean [SD] Pittsburgh Sleep Quality Index score = 6.44 [3.6]), with improved but still poor sleep quality in Winter 2022 (mean [SD] Pittsburgh Sleep Quality Index score = 6.17 [3.5]). Improved sleep quality was driven by better subjective sleep and reduced daytime dysfunction and sleep latency. Being female, older, having caring responsibilities, working nightshifts, and reporting higher levels of depression, anxiety, and unhelpful beliefs about sleep were associated with worse baseline PSQI scores. Better sleep quality was associated with more days exercising per week at baseline. Interventions focusing on improving mental health, exercise, and attitudes towards sleep, particularly in at-risk groups, may improve sleep-related outcomes in future pandemics.

Investigation Of The Relationship Between Body Appreciation And Sleep Quality

Sleep causes many psychological effects in individuals. A person's body image, which is their subjective evaluation of their physical appearance, can have a significant impact on their emotions, behaviors, and overall well-being. In order to investigate the effect of sleep on body image, 395 female participants aged between 18-27 years, who were evaluated subjectively and objectively using the sleep assessment and body image scale, were included. The primary outcome of the study are the determination of the relationship between objective and subjective results of sleep quality and body appreciation. Secondary outcome are the determination of the relationship between exercise and body appreciation, which is an effective factor in determining body appreciation. After missing data scanning, 34 participants were excluded from the study and analysis were performed on 361 people (Age 20,76+1,62; Height 163,65+5,81; Weight 57,78+ 10,42; Cronbach's Alpha ,92). Body Appreciation Scale-2 and Sleep Quality Scale were applied to the participants. While there was no statistical significance in the sleep hygiene values according to the subjective sleep evaluations of the participants, a significant difference was found between very poor sleep and very good sleep in the subjective sleep evaluations. In addition, a statistical significance was found between women's body image and subjective sleep evaluations (p

0491 Exploring COMISA, Sleep-related Symptoms, and Healthcare Utilization in Military Personnel

Abstract Introduction Insomnia and obstructive sleep apnea (OSA) are the two most common sleep disorders seen in clinical practice. Comorbid insomnia and OSA (COMISA) is a very common clinical presentation. The purpose of this study was to estimate the effect of COMISA on sleep, daytime symptoms, and healthcare resource utilization compared to OSA or insomnia alone among military personnel. Methods Military personnel with sleep problems were recruited from two military treatment facilities. Insomnia and OSA were defined using validated cutoffs on the Insomnia Severity Index and Berlin Questionnaire, respectively, and COMISA was defined as comorbid insomnia and OSA. Subjective and objective sleep were measured via standardized sleep diaries and a commercial wearable (Fitbit Inspire 2) over ten days. Daytime symptoms (e.g., sleepiness, depression, anxiety, pain) were assessed using standardized self-report questionnaires. Subjective cognition was assessed via three Likert items. Healthcare resource utilization (HCRU) was assessed using an established questionnaire tailored for this study. To compare differences between COMISA, OSA, and insomnia groups, one-way ANOVA was performed. Results The final sample included 201 participants (n=113, 43.8[%] men, mean age=44.5 [SD=12.7]) who self-reported being of White (111, 55.2%), Black (50, 24.9%), Hispanic (21, 10.5%) or Other (19, 9.5%) race. Of these, 22 (10.9%) were categorized as insomnia alone, 98 (48.8%) as OSA alone, and 81(40.3%) as COMISA. Relative to individuals with OSA, individuals with COMISA demonstrated worse subjective (but not objective) sleep; worse subjective daytime symptoms; worse subjective memory, attention, and executive function; and increased healthcare utilization including total HCRU and outpatient visits to internal medicine, neurology, emergency department, and urgent care. Some but few significant differences were observed between participants with insomnia relative to those with COMISA. Conclusion Among military personnel with sleep problems and relative to OSA alone, COMISA was associated with worse subjective sleep, worse daytime symptoms, worse subjective cognition, and greater HCRU. Future research should seek to seek to improve health and economic outcomes among individuals with COMISA. Support (if any) DoD (W81XWH1990006 via the Medical Technology Enterprise Consortium)

0903 Physical Health Correlates of Subjective and Objective Sleep Markers in Patients with Cancer and Their Caregivers

0903 Physical Health Correlates of Subjective and Objective Sleep Markers in Patients with Cancer and Their Caregivers

0625 Prevalence of Subjective Longer Sleep Times and Sleepiness in Patients Evaluated at a Tertiary Medical Center

0625 Prevalence of Subjective Longer Sleep Times and Sleepiness in Patients Evaluated at a Tertiary Medical Center