631 Sleep SMART in Adolescents with Neurodevelopmental Disorders

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A247-A248
Author(s):  
Alyson Hanish ◽  
Abbey Jo Klein ◽  
Therese Mathews ◽  
Ann Berger ◽  
Kevin Kupzyk ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Neurodevelopmental Disorders ◽  
Sleep Disturbances ◽  
Immediate Release ◽  
Sleep Time ◽  
Normative Values ◽  
Exogenous Melatonin ◽  
Contingency Contracting ◽  
Sleep Questionnaires ◽  
The Impact

Abstract Introduction: Introduction Sleep disturbances are common in adolescents with neurodevelopmental disorders (NDDs). Inclusion of vulnerable populations such as adolescents with NDDs into sleep intervention efforts is essential as they are at high-risk for poor physical/mental health outcomes. The objective of this study is to pilot a sequential, multiple assignment, randomized trial (SMART) design to compare the impact of a sequence of sleep interventions, based on treatment response, to optimize sleep health in adolescents with NDDs. Methods: Methods Recruitment began June 2019 using convenience sampling. The SMART pilot feasibility study includes 1-week of baseline sleep data, and two 4-week periods of a sleep intervention (9-week total study enrollment). Interventions include exogenous melatonin, The Bedtime Bank, and their combination. Exogenous melatonin (liquid, immediate release, 3mg) is administered 30 minutes before bedtime. The Bedtime Bank, a behavioral sleep intervention, is based upon contingency contracting that relies on a credit- or debt-based system to hold adolescents accountable for maintaining a consistent bedtime. At baseline participants completed demographics, PROMIS pediatric sleep questionnaires, the Cleveland Adolescent Sleepiness Questionnaire (CASQ), salivary & urinary endogenous melatonin measurement, and one week of actigraphy. Upon enrollment, participants were randomly assigned to either melatonin or The Bedtime Bank. Participants who respond (nightly increase in total sleep time (TST) ≥18 minutes) remain on the assigned intervention; if non-responsive participants are re-randomized to a different sleep intervention or combination. Results: Results At baseline, participants (n=29, aged 10–18 years) had an average TST of 7 hours 11 minutes. PROMIS Sleep Disturbance (M=64.3, SE=2.5), PROMIS Sleep-Related Impairment scores (M=58.9, SE=2.2), and CASQ scores (M=40.0, SD= 10.5) were higher than reported normative values. Salivary DLMO & urinary 6-sulfatoyxmelatonin analysis is ongoing. For participants who completed the full 9-week trial, nearly 30% (n=7/24) were responsive (increased baseline TST ≥18 minutes) to one of the 4-week interventions. Conclusion: Conclusion Baseline data of the enrolled participants demonstrates poor indicators of TST, sleep disturbance, and sleep related impairment. Preliminary results of this SMART indicate some adolescents are responsive to sleep interventions aimed to improve their TST. Support (if any) Support: This clinical trial is funded by the National Institute of Nursing Research, National Institutes of Health (1K01NR017465-01A1).

Sleep disturbance and quality of life in Rheumatoid Arthritis: a prospective mobile health study (Preprint)

2021 ◽  
Author(s):  
John McBeth ◽  
William G Dixon ◽  
Susan Mary Moore ◽  
Bruce Hellman ◽  
Ben James ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Rheumatoid Arthritis ◽  
Sleep Disturbance ◽  
Mobile Health ◽  
Sleep Disturbances ◽  
Total Sleep Time ◽  
Sleep Onset ◽  
Sleep Time ◽  
Domain Scores

BACKGROUND Sleep disturbance and poor health related quality of life (HRQoL) are common in people with rheumatoid arthritis (RA). Sleep disturbances, such as less total sleep time, more waking periods after sleep onset, and higher levels of non-restorative sleep, may be a driver of HRQoL. However, understanding if these sleep disturbances reduce HRQoL has, to date, been challenging due to the need to collect complex time-varying data in high resolution. Such data collection has now been made possible by the widespread availability and use of mobile health (mHealth) technologies. OBJECTIVE In a mobile health (mHealth) study we tested whether sleep disturbance (both absolute values and variability) caused poor HRQoL. METHODS The Quality of life, sleep and rheumatoid arthritis (QUASAR) study was a prospective mHealth study of adults with RA. Participants completed a baseline questionnaire, and for 30 days wore a triaxial accelerometer to objectively assess sleep, and provided daily reports via a smartphone app of sleep (Consensus Sleep Diary (CSD)), pain, fatigue, mood, and other symptoms. Participants completed the World Health Organization Quality of Life-Brief (WHOQoL-BREF) questionnaire every 10 days. Multi-level modelling tested the relationship between sleep variables and WHOQoL-BREF domains (physical, psychological, environment and social). RESULTS Of 268 recruited participants, 254 were included in this analysis. Across all WHOQoL-BREF domains, participant’s scores were lower than the population average. CSD sleep parameters predicted WHOQoL-BREF domain scores. For example, for each hour increase in the total time asleep physical domain scores increased by 1.11 points (β = 1.11 (0.07, 2.15)) and social domain scores increased by 1.65 points. These associations were not explained by sociodemographic and lifestyle factors, disease activity, medication use, levels of anxiety, sleep quality, or clinical sleep disorders. They were, however, attenuated and no longer significant when pain, fatigue and mood were included in the model. Increased variability in the total time asleep, was associated with poorer physical and psychological domain scores independently of all covariates. There were no patterns of association between actigraphy measured sleep and WHOQoL-BREF. CONCLUSIONS Optimising total sleep time, increasing sleep efficiency, decreasing sleep onset latency, and reducing the variability in total sleep time could improve HRQoL in people with RA.

scholarly journals 0785 Associations Between Circadian Preference And Sleep-related Thoughts: Data From The 2015 Sleep In America Poll

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A298-A299
Author(s):  
B Jeon ◽  
F S Luyster ◽  
E R Chasens
Keyword(s):  
Sleep Disturbance ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
Secondary Analysis ◽  
Logistic Models ◽  
Poor Sleep ◽  
Sleep Habits ◽  
Circadian Preference ◽  
Physical Consequences ◽  
The Impact

Abstract Introduction Evening types of sleep tend to have poorer sleep quality and sleep habits than morning types. Maladaptive beliefs or thoughts about sleep can affect one’s sleep and may differ between evening and morning types. We examined the association between the circadian preference and sleep-related thoughts in U.S adults. Methods A secondary analysis used survey data from the 2015 National Sleep Foundation’s Sleep in America Poll. Questions included normal bedtime and wake-up time for week/work days and weekend/non-work days. Circadian preference was determined by midpoint of sleep calculated as midpoint of sleep on weekends corrected for average nightly sleep duration. Participants were excluded if their sleep midpoint was from noon to midnight. Midpoint of sleep was divided into two groups using median split (“earlier” vs. “later”). Sleep-related thoughts were “worry about getting a good sleep”, “overwhelming thoughts about getting enough sleep”, “motivation to get sleep”, and “concern about serious physical consequences due to poor sleep”; responded often/always or extremely to somewhat for these items were coded as maladaptive. Logistic regression analysis controlling for socio-demographics, sleep duration, and sleep disturbance (PROMIS Scale; higher scores = greater sleep disturbance) was conducted to examine the relationships between midpoint of sleep and sleep-related thoughts. Results The sample (N = 1011) was primarily White (73.6%), male (50.9%), college educated (62.2%), married/partnered (67.6%) with a mean age of 51.65 ± 17.05 years. Mean midpoint of sleep in “earlier” type was 2:33AM and 5:29AM in “later” type. “Later” type had shorter sleep duration on weekdays and longer sleep duration on weekends than “earlier” type (p < .01), but average sleep duration was similar between two types. “Later” type had more “worry” and “overwhelming thoughts” (p < .05) about sleep. In logistic models, midpoint of sleep was significant only for “concern” (p = .02). Conclusion In this study, late chronotype was associated with increased sleep disturbances and greater variability in sleep duration. The relationship between the timing of sleep and thoughts about the impact of impaired sleep remains unclear and an area for further study with objective measures. Support  

scholarly journals The impact of sleep disturbances on care home residents with dementia: the SIESTA qualitative study

2020 ◽  
Vol 32 (7) ◽  
pp. 839-847
Author(s):  
Lucy Webster ◽  
Kingsley Powell ◽  
Sergi G. Costafreda ◽  
Gill Livingston
Keyword(s):  
Qualitative Study ◽  
Sleep Disturbance ◽  
Sleep Disturbances ◽  
Care Home ◽  
Well Being ◽  
Structured Interviews ◽  
Topic Guide ◽  
Disturbed Sleep ◽  
Risk Of Falls ◽  
The Impact

ABSTRACTObjectives:Nearly 40% of care home residents who are living with dementia also have symptoms of disturbed sleep. However, the impact of these disturbances is relatively unknown and is needed to indicate whether interventions are warranted; therefore, we aimed to investigate the impact.Design:One-to-one semi-structured interviews.Settings:Four UK care homes.Participants:We interviewed 18 nurses and care assistants about residents with sleep disturbances.Measurements:We used a topic guide to explore staff experience of sleep disturbance in residents with dementia. The interviews were audio recorded and transcribed and then analyzed thematically by two researchers independently.Results:Staff described that sleep disturbances in most, but not all, residents impacted negatively on the resident, other residents, staff, and relatives. Residents became more irritable or agitated if they had slept badly. They slept in the daytime after a bad night, which then increased their chances of being awake the following night. For some, being sleepy in the day led to falls, missing medication, drinks, and meals. Staff perceived hypnotics as having low efficacy, but increasing the risk of falls and drowsiness. Other residents were disturbed by noise, and staff described stress when several residents had sleep disturbance. Some of the strategies reported by staff to deal with sleep disturbances such as feeding or providing caffeinated tea at night might be counterproductive.Conclusions:Sleep disturbances in care home residents living with dementia negatively affect their physical and psychological well-being. These disturbances also disturb other residents and increase stress in staff.

scholarly journals A-130 An Exploratory Analysis of the Impact PTSD Related Sleep Disturbance has on Language Generativity in Veterans with mTBI

2020 ◽  
Vol 35 (6) ◽  
pp. 923-923
Author(s):  
Walker N ◽  
Scott T ◽  
Spellman J ◽  
Rivera J ◽  
Waltzman D ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Verbal Fluency ◽  
Sleep Disturbances ◽  
Self Report ◽  
Analysis Of Covariance ◽  
Ptsd Symptoms ◽  
History Of ◽  
The Impact ◽  
The Relationship

Abstract Objective Reviewed literature suggests that individuals with Posttraumatic Stress Disorder (PTSD) demonstrate cognitive deficits in attention, learning/memory, and executive functions. Less is known regarding the relationship between sleep disturbance and language abilities among individuals with PTSD. We hypothesized that subjective perceptions of PTSD-related sleep disturbance would impact language generativity in Veterans with PTSD. Methods 38 individuals (mean age = 46.58, SD = 13.55; 10% female) were administered a brief neurocognitive battery including measures of verbal generativity [i.e., Delis-Kaplan Executive Function System: Verbal fluency subtest], PTSD symptoms (i.e., clinically significant PTSD = > 35 on the PTSD Checklist for DSM-IV), self-report measures of sleep quality (Pittsburgh Sleep Quality Inventory; PSQI), and PTSD-related sleep disturbances (PSQI – Addendum for PTSD). All participants had a history of mild traumatic brain injury (mTBI). An analysis of covariance was used to assess the contribution of PTSD-related sleep disturbance on verbal fluency in Veterans with PTSD. Post-hoc analyses were conducted. Results Those without PTSD performed better on letter fluency than those with PTSD (p=.019). There was no significant effect of PTSD (presence or absence) on letter fluency performance after controlling for subjective sleep quality, F(1, 35) = 1.43, p = .239. Follow up analyses failed to show any associations between PTSD and other cognitive measures. Conclusions PTSD related sleep disturbance accounts for a significant portion of the variance in the relationship between PTSD and verbal generativity. Individuals with a history of mTBI and current PTSD symptoms, may have worse verbal generativity but is partially accounted for by PTSD related sleep disturbance.

Sleep Disturbances and Fatigue in Critically Ill Patients

2011 ◽  
Vol 22 (3) ◽  
pp. 204-224 ◽  
Author(s):  
Ellyn E. Matthews
Keyword(s):  
Sleep Disturbance ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Behavioral Interventions ◽  
Sleep Disturbances ◽  
Sleep Problems ◽  
Management Options ◽  
Environmental Controls ◽  
Critically Ill Adults ◽  
The Impact

Sleep disturbances and fatigue are significant problems for critically ill patients. Existing sleep disorders, underlying medical/surgical conditions, environmental factors, stress, medications, and other treatments all contribute to a patient’s inability to sleep. Sleep disturbance and debilitating fatigue that originate during acute illness may continue months after discharge from intensive care units (ICUs). If these issues are unrecognized, lack of treatment may contribute to chronic sleep problems, impaired quality of life, and incomplete rehabilitation. A multidisciplinary approach that incorporates assessment of sleep disturbances and fatigue, environmental controls, appropriate pharmacologic management, and educational and behavioral interventions is necessary to reduce the impact of sleep disturbances and fatigue in ICU patients. Nurses are well positioned to identify issues in their own units that prevent effective patient sleep. This article will discuss the literature related to the occurrence, etiology, and risk factors of sleep disturbance and fatigue and describe assessment and management options in critically ill adults.

Anxiety, Obsessive-Compulsive, and Related Disorders

2020 ◽  
pp. 318-336
Author(s):  
Bruce Rohrs ◽  
Benjamen Gangewere ◽  
Alicia Kaplan ◽  
Amit Chopra
Keyword(s):  
Anxiety Disorders ◽  
Sleep Disturbance ◽  
Sleep Disturbances ◽  
Sleep Problems ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Onset Latency ◽  
Limited Evidence ◽  
Obsessive Compulsive ◽  
Psychotherapeutic Interventions

Despite its common comorbidity, sleep disturbance is often underrecognized and undertreated in individuals with anxiety disorders. Compared to mood disorders, sleep disturbance in this population is less well studied except for panic disorder and generalized anxiety disorder. Some evidence suggests a bidirectional link between anxiety disorders and sleep disturbance. Polysomnography findings point to some commonalities across anxiety disorders, including longer sleep onset latency, reduced total sleep time, and reduced sleep efficiency. The underlying biological mechanisms linking anxiety disorders and sleep disturbance are still unclear. However, there is limited evidence suggesting a connection between impaired executive functioning due to sleep problems and failure to inhibit anxiety related thoughts and feelings. Cortisol irregularities and disruption in the serotonergic system may also play a role. Evidence suggests that anxiety sensitivity is a transdiagnostic factor that contributes to both anxiety disorders and sleep disturbance. Further research is warranted to elucidate common biological and psychological factors underlying sleep disturbances and anxiety disorders. There is an imminent need to systematically assess the impact of sleep disturbance on symptom severity and treatment outcomes in anxiety, obsessive-compulsive, and related disorders. Limited evidence is available for medications and targeted psychotherapeutic interventions for management of sleep disturbance thus warranting the development of robust sleep interventions to achieve optimal clinical outcomes in this patient population.

Measure of Atopic Dermatitis Disease Severity Using Actigraphy

2014 ◽  
Vol 18 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Laura F. Sandoval ◽  
Karen Huang ◽  
Jenna L. O'Neill ◽  
Cheryl J. Gustafson ◽  
Emily Hix ◽  
...  
Keyword(s):  
Atopic Dermatitis ◽  
Sleep Quality ◽  
Disease Severity ◽  
Sleep Disturbances ◽  
Sleep Onset ◽  
Sleep Time ◽  
Random Effects Models ◽  
Short Course ◽  
Wrist Actigraphy ◽  
The Impact

Background: Analyzing adherence to treatment and outcomes in atopic dermatitis is limited by methods to assess continual disease severity. Atopic dermatitis significantly impacts sleep quality, and monitoring sleep through actigraphy may capture disease burden. Purpose: To assess if actigraphy monitors provide continuous measures of atopic dermatitis disease severity and to preliminarily evaluate the impact of a short-course, high-potency topical corticosteroid regimen on sleep quality. Methods: Ten patients with mild to moderate atopic dermatitis applied topical fluocinonide 0.1% cream twice daily for 5 days. Sleep data were captured over 14 days using wrist actigraphy monitors. Investigator Global Assessment (IGA) and secondary measures of disease severity were recorded. Changes in quantity of in-bed time sleep were estimated with random effects models. Results: The mean daily in-bed time, total sleep time, and wake after sleep onset (WASO) were 543.7 minutes (SEM 9.4), 466.0 minutes (SEM 7.7), and 75.0 minutes (SEM 3.4), respectively. WASO, a marker of disrupted sleep, correlated with baseline (ρ = .75) and end of treatment IGA (ρ = .70). Most patients did not have marked changes in sleep. IGA scores declined by a median change of 1 point at days 7 ( p = .02) and 14 ( p = .008). Conclusions: Using actigraphy, atopic dermatitis disease severity positively correlated with sleep disturbances. Actigraphy monitors were well tolerated by this cohort of atopic dermatitis subjects.

scholarly journals Chronic Insomnia Is Associated with Nyctohemeral Activation of the Hypothalamic-Pituitary-Adrenal Axis: Clinical Implications

2001 ◽  
Vol 86 (8) ◽  
pp. 3787-3794 ◽  
Author(s):  
Alexandros N. Vgontzas ◽  
Edward O. Bixler ◽  
Hung-Mo Lin ◽  
Paolo Prolo ◽  
George Mastorakos ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Sleep Disturbances ◽  
Sleep Time ◽  
Hypothalamic Pituitary Adrenal Axis ◽  
Chronic Insomnia ◽  
Cortisol Secretion ◽  
Hypothalamic Pituitary Adrenal ◽  
Adrenal Axis ◽  
Chronic Anxiety ◽  
Pituitary Adrenal Axis

Although insomnia is, by far, the most commonly encountered sleep disorder in medical practice, our knowledge in regard to its neurobiology and medical significance is limited. Activation of the hypothalamic-pituitary-adrenal axis leads to arousal and sleeplessness in animals and humans; however, there is a paucity of data regarding the activity of the hypothalamic-pituitary-adrenal axis in insomniacs. We hypothesized that chronic insomnia is associated with increased plasma levels of ACTH and cortisol. Eleven young insomniacs (6 men and 5 women) and 13 healthy controls (9 men and 4 women) without sleep disturbances, matched for age and body mass index, were monitored in the sleep laboratory for 4 consecutive nights, whereas serial 24-h plasma measures of ACTH and cortisol were obtained during the fourth day. Insomniacs, compared with controls, slept poorly (significantly higher sleep latency and wake during baseline nights). The 24-h ACTH and cortisol secretions were significantly higher in insomniacs, compared with normal controls (4.2 ± 0.3 vs. 3.3 ± 0.3 pm, P = 0.04; and 218.0 ± 11.0 vs. 190.4 ± 8.3 nm, P = 0.07). Within the 24-h period, the greatest elevations were observed in the evening and first half of the night. Also, insomniacs with a high degree of objective sleep disturbance (% sleep time < 70), compared with those with a low degree of sleep disturbance, secreted a higher amount of cortisol. Pulsatile analysis revealed a significantly higher number of peaks per 24 h in insomniacs than in controls (P < 0.05), whereas cosinor analysis showed no differences in the temporal pattern of ACTH or cortisol secretion between insomniacs and controls. We conclude that insomnia is associated with an overall increase of ACTH and cortisol secretion, which, however, retains a normal circadian pattern. These findings are consistent with a disorder of central nervous system hyperarousal rather than one of sleep loss, which is usually associated with no change or decrease in cortisol secretion or a circadian disturbance. Chronic activation of the hypothalamic-pituitary-adrenal axis in insomnia suggests that insomniacs are at risk not only for mental disorders, i.e. chronic anxiety and depression, but also for significant medical morbidity associated with such activation. The therapeutic goal in insomnia should be to decrease the overall level of physiologic and emotional arousal, and not just to improve the nighttime sleep.

scholarly journals The Role of Sleep Disturbance, Depression and Anxiety in Frail Patients with AF–Gender Differences

2020 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Beata Jankowska-Polańska ◽  
Jacek Polański ◽  
Krzysztof Dudek ◽  
Agnieszka Sławuta ◽  
Grzegorz Mazur ◽  
...  
Keyword(s):  
Gender Differences ◽  
Sleep Disturbance ◽  
Sleep Disturbances ◽  
Depressive Disorders ◽  
Reference Group ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Frail Patients ◽  
Anxiety Depression ◽  
The Impact

The aim of the study was to assess the link between anxiety and depression and frailty syndrome (FS) in patients with atrial fibrillation (AF) with regard to gender differences. Material and methods. The study was conducted on 158 patients with AF (mean age 70.4 ± 7.6). The study used the hospital anxiety and depression scale (HADS-M), the Athens insomnia scale (AIS) and the Edmonton frailty scale to assess and compare anxiety, depression, and sleep disturbance between frail and non-frail patients with AF. Results. FS was diagnosed in 53.2% of patients. A comparative analysis showed a statistically significantly higher severity level of anxiety (12.0 ± 2.6 vs. 8.4 ± 2.5, p < 0.001) and depression (12.5 ± 2.5 vs. 7.2 ± 3.3, p < 0.001) in frail patients compared to non-frail patients. The analysis of the level of anxiety, depression and FS did not show any significant differences between the studied women and men. However, statistically, significant differences were observed when FS occurred, regardless of gender. Anxiety disorders were observed in 75.5% of patients with FS and in 16.7% without frailty, whereas depressive disorders were observed in 73.6% of frail patients and in 4.2% without frailty. In an analysis of the impact of cumulative variables on the level of frailty, the risk of FS in patients with anxiety/depression and sleep disturbance is almost 500 times higher compared to patients without anxiety/depression and sleep disturbance. The risk of frailty in patients with sleep disturbance only is thirteen times higher than in the reference group, i.e., in patients without depression/anxiety and sleep disturbances. Conclusions: Patients with AF and FS show deeper anxiety, depression and sleep disturbances. Gender does not influence the risk of frailty in AF patients. Frailty in patients with AF is associated with a higher risk of depression, sleep disturbances and anxiety.

scholarly journals The Impact of Tryptophan Supplementation on Sleep Quality: A Systematic Review, Meta-Analysis and Meta-Regression

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 373-373
Author(s):  
Clarinda Sutanto ◽  
Wen Wei Loh ◽  
Jung Eun Kim
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbances ◽  
Meta Analysis ◽  
Random Effect ◽  
Sleep Onset ◽  
Sleep Time ◽  
P Value ◽  
Post Intervention ◽  
Meta Regression ◽  
The Impact

Abstract Objectives Sleep disturbances have been associated with higher risk of developing a range of health conditions such as impaired cognition, type 2 diabetes mellitus and cardiovascular disease. L-tryptophan (Trp) has been documented to aid sleep, but a systematic compilation of its effect on sleep quality is still limited. This study aimed to assess the effect of Trp supplementation on sleep quality via meta-analysis and meta-regression. The effects of Trp dose (&lt;1 g and ≥ 1 g) was also assessed. Methods A database search was done in PubMed, Medline (Ovid), CINAHL and COCHRANE and a total of 18 articles were collected. Sleep outcomes that were observed include total sleep time (TST), sleep latency (SL), wake after sleep onset (WASO) and sleep efficiency (SE). Extracted data from four articles were also analyzed using random-effect meta-analysis and meta-regression. Standardized mean difference (SMD) was used in meta-analysis. To investigate the dose-dependent efficacy of Trp, the post-intervention sleep outcomes from 18 articles were extracted and categorized into two Trp dose groups: &lt;1g and ≥1g. This was then followed by an independent t-test comparison. Results Results from the study suggested that Trp supplementation can shorten WASO [SMD − 1.08 min, 95%CI (−1.89, −0.28); −81.03 min/g, P-value = 0.017]. In addition, the group with ≥ 1g Trp supplementation displayed a shorter WASO than the group with Trp &lt; 1g supplementation (Trp &lt; 1g vs. Trp ≥ 1g: 56.55 mins vs. 29.91 mins; P-value: 0.001). However, Trp supplementation did not affect other sleep components. Conclusions Trp supplementation, especially at ≥ 1g, can aid in improving sleep. Funding Sources National University of Singapore, NUS iHealthtech Microbiome in Health, Disease and Ageing.

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