Lifestyle and integrative oncology interventions for cancer-related fatigue and sleep disturbances.

Fatigue, insomnia and sleep disturbances are common after cancer diagnosis, and have a negative impact on quality of life and function. This narrative review synthesised evidence on lifestyle and integrative oncology interventions for cancer-related fatigue, insomnia and sleep disturbances in cancer survivors. There is strong evidence in support of aerobic and strength exercise for the relief of cancer-related fatigue. Yoga, massage therapy, acupuncture, Tai Chi and qigong can also be recommended for cancer-related fatigue. The evidence on yoga, acupuncture and massage therapy for sleep disturbances in cancer is mixed, while exercise appears to have a modest favourable effect. There is insufficient evidence on nutrient supplements or dietary interventions for cancer-related fatigue or insomnia and other sleep disturbances after cancer. Beyond alleviating cancer-related fatigue and insomnia-related symptoms, integrative oncology and lifestyle interventions have potential to effect multiple other benefits, such as improvement in symptoms such as pain and menopausal symptoms. There is a need for well-designed randomised controlled trials of interventions, particularly in the areas of diet and nutrient supplements, and for implementation studies of interventions already supported by evidence.

A circadian-informed lighting intervention accelerates circadian adjustment to a night work schedule in a submarine lighting environment.

STUDY OBJECTIVE: Night work has detrimental impacts on sleep and performance, primarily due to misalignment between sleep-wake schedules and underlying circadian rhythms. This study tested whether circadian-informed lighting accelerated circadian phase delay, and thus adjustment to night work, compared to blue-depleted standard lighting under simulated submariner work conditions. METHODS: Nineteen healthy sleepers (12 males; mean±SD aged 29 ±10 y) participated in two separate 8-day visits approximately one month apart to receive, in random order, circadian-informed lighting (blue-enriched and dim, blue-depleted lighting at specific times) and standard lighting (dim, blue-depleted lighting). After an adaptation night (day 1), salivary dim light melatonin onset (DLMO) assessment was undertaken from 18:00-02:00 on days 2-3. During days 3-7, participants completed simulated night work from 00:00-08:00 and a sleep period from 10:00-19:00. Post-condition DLMO assessment occurred from 21:00-13:00 on days 7-8. Ingestible capsules continuously sampled temperature to estimate daily core body temperature minimum (Tmin) time. Tmin and DLMO circadian delays were compared between conditions using mixed effects models. RESULTS: There were significant condition-by-day interactions in Tmin and DLMO delays (both p<0.001). After four simulated night shifts, circadian-informed lighting produced a mean [95%CI] 4.3 [3.3 to 5.4] h greater delay in Tmin timing and a 4.2 [3 to 5.6] h greater delay in DLMO timing compared to standard lighting. CONCLUSIONS: Circadian-informed lighting accelerates adjustment to shiftwork in a simulated submariner work environment. Circadian lighting interventions warrant consideration in any dimly lit and blue-depleted work environments where circadian adjustment is relevant to help enhance human performance, safety, and health.

An approach to common sleep presentations in infants and toddlers.

BACKGROUND: Healthy sleep is vital for optimal child development, yet over 30% of Australian parents report having children with disrupted sleep affecting all family members. These sleep difficulties might co-exist with sleep breathing disorders, contributing to morbidity and reduced quality of life. OBJECTIVE: This article aims to provide general practitioners (GPs) with an evidence-based, biopsychosocial approach to managing common sleep problems in infants and preschool-aged children. DISCUSSION: Strategies and techniques are outlined to aid GPs in promoting healthy sleep during infancy, educating parents on typical sleep patterns and supporting families in managing problematic sleep patterns in toddlers. Emphasis is placed on a tailored approach to developing a healthy sleep environment to meet the child's needs and parental values. Valuable resources and indications for specialist consultation are included.

Assessment and management of sleep disorders in shift workers: Challenges and considerations for general practice.

BACKGROUND: Shift work is characterised by displaced sleep opportunities and associated sleep disturbance. Shift workers often report sleepiness and other wake time symptoms associated with poor sleep. However, clinical sleep disorders are also prevalent in shift workers. Although prevalence rates are similar or higher in shift workers compared with the general population, help seeking in shift workers with sleep disorders is low. OBJECTIVE: This article aims to provide general practitioners with a contemporary overview of the prevalence rates for sleep disorders in shift workers, to clarify the existing evidence relating to mental and physical health consequences of sleep disorders in shift workers and to highlight the need to consider undiagnosed sleep disorders before attributing sleep-related symptoms solely to work schedules. DISCUSSION: Symptoms of sleep loss associated with shift work overlap with symptoms experienced by individuals living with sleep disorders. Although >40% of middle-aged Australians live with a sleep disorder that requires investigation and management, symptoms in shift workers are often attributed to the work schedule and, as a result, might not be investigated for appropriate diagnosis and treatment. We argue that screening for sleep disorders in shift workers with sleep complaints should be a priority.

Optimising sleep in adolescents: The challenges.

BACKGROUND: Adolescence is a stage of significant transition as children develop into young adults. Optimal sleep is crucial during this period to ensure physical, emotional and mental wellbeing. However, it is well recognised that insufficient quality and quantity of sleep is common among adolescents worldwide. OBJECTIVE: This article aims to provide general practitioners with an overview of the key issues encountered in adolescent patients relating to sleep and summarises approaches to assessment and evidence-based management of sleep problems in this population. DISCUSSION: This review highlights the physiological changes that affect sleep during adolescence and how other factors, including unhealthy sleep behaviours, influence these. It discusses the importance of healthy sleep and the consequences of sleep disturbance in adolescents. Management strategies are outlined, focusing on the key common issues that affect sleep in the teenage years, and guidance on when to consider co-management with specialist care is provided.

Sex differences in response to cognitive behavioural therapy for insomnia: A chart review of 455 patients with chronic insomnia.

BACKGROUND: Insomnia is more prevalent in females, however studies examining sex differences in response to insomnia treatment are scarce. This study assessed sex-specific differences in cognitive behavioural therapy for insomnia (CBT-I)-related changes in insomnia symptoms in a large clinical cohort. METHODS: A chart review was conducted of a clinical cohort (females n = 305, males n = 150) referred to a sleep clinic. Participants had a registered psychologist confirm diagnosis of chronic insomnia according to DSM-IV/V criteria and a Level 1 or 2 sleep study. Daily sleep diaries and questionnaires including the Insomnia Severity Index (ISI), Flinders Fatigue Scale (FFS), the Daytime Feelings and Functioning Scale (DFFS), and the Depression, Anxiety and Stress Scale-21 items (DASS), were administered at baseline, post-treatment, and three-month follow-up. Linear mixed models determined interactions between sex and timepoint on symptoms. RESULTS: Mean (SD) age was 51.7 yrs (15.7, range = 18-90 yrs), and mean BMI was 26.3 kg/m2 (4.9), neither of which differed by sex. At pre-treatment, females demonstrated higher objective total sleep time (min) [343.5 (97.6) vs 323.8 min (92.1), p = 0.044], ISI [19.7 (4.2) vs 18.6 (4.4), p = 0.033], and FFS scores [19.2 (6.0) vs 16.9 (7.2), p = 0.003]. Compared to males, females experienced a greater reduction in FFS and DFFS scores and DASS depressive symptoms (p for interaction: 0.017, 0.043, 0.016 respectively) from baseline to follow-up. The greater reduction in depressive symptoms did not persist after controlling for age, BMI, and sleep apnea severity. Subjective total sleep time similarly increased across treatment for both males [baseline: 335.7 (15.1), post: 357.9 (15.5)] and females [baseline: 318.3 (10.4), post: 354.4 (10.7)], p for interaction: 0.22. CONCLUSION: Females and males experience similar, substantial benefits from CBT-I after accounting for comorbidities, suggesting the same treatment can resolve insomnia in both sexes.

Sleep-wake state discrepancy does not impair the efficacy of cognitive behavioural therapy for insomnia: Findings from a large clinic sample.

The current study determined the extent to which sleep-wake state discrepancy impairs the efficacy of cognitive behavioural therapy for insomnia in a real-world clinical sample. Sleep-wake state discrepancy occurs when there is an inconsistency between a person's subjective and objective sleep, and is a common phenomenon amongst patients with insomnia. Limited information is available on the effectiveness of cognitive behavioural therapy for insomnia in treating patients who experience significant sleep-wake state discrepancy in "real-world" samples. In the present study, all patients with insomnia received cognitive behavioural therapy for insomnia through an outpatient insomnia program (N = 386; mean age = 51.96 years, SD = 15.62; 65.97% [N = 254] female). Prior to treatment, participants completed a polysomnography sleep study and sleep diary, which was used to calculate sleep-wake state discrepancy. At pre-treatment, post-treatment and 3-month follow-up, participants completed the Insomnia Severity Index and other questionnaires, and 1 week of sleep diaries from which sleep-onset latency, wake after sleep onset and other sleep variables were calculated. There were no differences in self-reported sleep-onset latency, wake after sleep onset or Insomnia Severity Index scores at post-treatment or 3-month follow-up between quintiles of sleep-wake state discrepancy. These results indicate that sleep-wake state discrepancy at pre-treatment does not predict treatment response to cognitive behavioural therapy for insomnia. Future research could examine multi-night assessments of sleep-wake state discrepancy to determine whether variations in discrepancy may relate to pre-treatment insomnia severity and cognitive behavioural therapy for insomnia outcomes.

Delayed melatonin circadian timing, lower melatonin output, and sleep disruptions in myopic, or short-sighted, children.

STUDY OBJECTIVES: This study investigated the differences in melatonin circadian timing and output, sleep characteristics, and cognitive function in myopic and non-myopic (or emmetropic) children, aged 8-15 years. METHODS: Twenty-six myopes (refractive error [mean ±â€…standard error mean] -2.06 ±â€…0.23 diopters) and 19 emmetropes (-0.06 ±â€…0.04 diopters), aged 11.74 ±â€…2.31 years were recruited. Circadian timing was assessed using salivary dim-light melatonin onset (DLMO), collected half-hourly for 7 hours, beginning 5 hours before and finishing 2 hours after individual average sleep onset in a sleep laboratory. Nocturnal melatonin output was assessed via aMT6s levels from urine voids collected from 05:30 pm to 8:00 am the following morning. Actigraphy-derived objective sleep timing were acquired for a week prior to the sleep laboratory visit. Cognitive assessments of sustained attention (using psychomotor vigilance task [PVT]) and working memory (using digit spans) were performed on the night of sleep laboratory. RESULTS: Myopic children (9:07 pm ±â€…14 minutes) exhibited a DLMO phase-delay of 1 hour 8 minutes compared to emmetropes (7:59 pm ±â€…13 minutes), p = 0.002. aMT6s melatonin levels were significantly lower among myopes (18.70 ±â€…2.38) than emmetropes (32.35 ±â€…6.93, p = 0.001). Myopes also exhibited significantly delayed sleep onset, delayed wake-up time, poor and reduced sleep, and more evening-type diurnal preference than emmetropes (all p < 0.05). Finally, myopes showed a slower reaction time in the PVT (p < 0.05), but not digit span tasks at night. CONCLUSIONS: These findings suggest a potential association between circadian rhythm dysfunction and myopia in children.

"The Days Are Long But the Nights Are Even Longer": A Mixed-Method Study of Sleep Disturbances Among Patients in an Inpatient Rehabilitation Program.

Objective: To assess sleep quality of patients on a rehabilitation ward and to identify staff practices and beliefs about management of sleep disturbance. Design: Mixed-methods design including patient surveys and staff interviews. Setting: Inpatient rehabilitation ward in a tertiary teaching hospital in Adelaide, Australia. Participants: Of the 345 screened inpatients who had been in a mixed post-acute rehabilitation ward for at least 5 days, 120 (43% women) were included. The mean age was 67.7 years and the main admission reason was functional decline (40%). Patients with stroke or traumatic brain injury were excluded. Eleven (n = 11) staff (a mix of doctors, nurses, and allied health) were interviewed. Main Outcome Measures: The surveys comprised of the Pittsburgh Sleep Quality Index, the Epworth Sleepiness Scale, the Flinders Fatigue Scale, and the Sleep Inertia Questionnaire. The survey results were compared with functional outcomes using the functional independence measure (FIM). Staff interviews delved into barriers to good sleep, ward practices, and knowledge about sleep hygiene. Results: 43% of the surveyed patients reported having healthy amount of sleep. Sleep quality was not significantly correlated with rehabilitation outcomes (assessed using FIM). Staff reported having a good awareness of sleep hygiene; however, acknowledged limitations about the environment and routine which were not conducive to healthy sleep. They identified several actions which could be taken to improve patients' sleep hygiene. Conclusions: Sleep disturbance is common for patients in rehabilitation. Rehabilitation wards should address this often-neglected critical component of rehabilitation to improve patient experience and potential participation in therapy. Introducing a systematic approach for assessing sleep during admission, establishing clear roles regarding sleep assessment and intervention among staff, and ensuring that patients and staff are aware of good sleep hygiene practices may promote better sleep during inpatient rehabilitation.

Establishing the acute physiological and sleep disruption characteristics of wind farm versus road traffic noise disturbances in sleep: a randomized controlled trial protocol.

Study Objectives: Despite the global expansion of wind farms, effects of wind farm noise (WFN) on sleep remain poorly understood. This protocol details a randomized controlled trial designed to compare the sleep disruption characteristics of WFN versus road traffic noise (RTN). Methods: This study was a prospective, seven night within-subjects randomized controlled in-laboratory polysomnography-based trial. Four groups of adults were recruited from; <10 km away from a wind farm, including those with, and another group without, noise-related complaints; an urban RTN exposed group; and a group from a quiet rural area. Following an acclimation night, participants were exposed, in random order, to two separate nights with 20-s or 3-min duration WFN and RTN noise samples reproduced at multiple sound pressure levels during established sleep. Four other nights tested for continuous WFN exposure during wake and/or sleep on sleep outcomes. Results: The primary analyses will assess changes in electroencephalography (EEG) assessed as micro-arousals (EEG shifts to faster frequencies lasting 3-15 s) and awakenings (>15 s events) from sleep by each noise type with acute (20-s) and more sustained (3-min) noise exposures. Secondary analyses will compare dose-response effects of sound pressure level and noise type on EEG K-complex probabilities and quantitative EEG measures, and cardiovascular activation responses. Group effects, self-reported noise sensitivity, and wake versus sleep noise exposure effects will also be examined. Conclusions: This study will help to clarify if wind farm noise has different sleep disruption characteristics compared to road traffic noise.

Circadian aspects in the aetiology and pathophysiology of insomnia.

Because the endogenous circadian pacemaker is a very strong determinant of alertness/sleep propensity across the 24 h period, its mistiming may contribute to symptoms of insomnia (e.g., difficulties initiating sleep and maintaining sleep) and to the development of insomnia disorder. Despite the separation of insomnia and circadian rhythm disorders in diagnostic nosology implying independent pathophysiology, there is considerable evidence of co-morbidity and interaction between them. Sleep onset insomnia is associated with later timed circadian rhythms and can be treated with morning bright light to shift rhythms to an earlier timing. It is also possible that the causal link may go in both directions and that having a delayed circadian rhythm can result in enough experiences of delayed sleep onset to lead to some conditioned insomnia or insomnia disorder further exacerbating a delayed circadian rhythm. Early morning awakening insomnia is associated with an advanced circadian phase (early timing) and can be treated with evening bright light resulting in a delay of rhythms and an improved ability to sleep later in the morning and to obtain more sleep. There is some evidence suggesting that sleep maintenance insomnia is associated with a blunted amplitude of circadian rhythm that may be treated with increased regularity of sleep and light exposure timing. However, this is an insomnia phenotype that requires considerably more circadian research as well as further insomnia clinical research with the other insomnia phenotypes incorporating circadian timing measures and treatments.

The mortality risk of night-time and daytime insomnia symptoms in an older population.

The current study examined the association between insomnia symptoms and all-cause mortality in older adults (≥ 65 years). Data was used from 1969 older adults [M = 78 years, SD = 6.7 years] who participated in the Australian Longitudinal Study of Ageing. Insomnia symptoms were defined by nocturnal symptoms (difficulty falling asleep, difficulty maintaining sleep, early morning awakenings) and daytime symptoms (concentration difficulties, effort, inability to get going). Frequency of symptoms were combined to calculate an insomnia symptom score ranging from 0 (no symptoms) to 24 (sever symptoms) and quintiles of the score were constructed to provide a range of symptom severity. Multivariable Cox models were conducted to assess associations between insomnia symptom severity and mortality risk. In the median follow up of 9.2 years, there were 17,403 person-years at risk and the mortality rate was 8-per 100 person-years. Insomnia symptom severity was associated with increased mortality in the most severe quintile (adjusted HRQ1vsQ5 = 1.26, 95%CI [1.03-1.53], p = .02). Subsequent analyses showed this association was driven by daytime symptoms (adjusted HRQ1vsQ5 = 1.66, [1.39-2.00], p < .0001), since nocturnal symptoms alone were not associated with increased mortality (adjusted HR Q1vsQ5 = 0.89, [0.72-1.10], p = .28). Findings suggest daytime symptoms drive increased mortality risk associated with insomnia symptoms. Findings may be therapeutically helpful by reassuring individuals with nocturnal insomnia symptoms alone that their longevity is unlikely to be impacted.

The Relationship between Anxiety, Subjective and Objective Sleep, Chronotype and Circadian Rhythms with Depressive Symptoms in Insomnia Disorder.

Insomnia is a highly prevalent sleep disorder with strong bidirectional associations with depressive symptoms. The circadian preference for eveningness has been shown to be associated with depressive symptoms in insomnia and other mental health conditions. However, there is a lack of studies in insomnia investigating whether objective measures, such as dim light melatonin onset (DLMO) or polysomnographic (PSG) sleep, are associated with depressive symptoms. Therefore, we investigated the associations between subjective measures (questionnaires assessing anxiety, sleep quality and circadian preference, and sleep diary) and depressive symptoms and whether the addition of objective measures (DLMO, PSG parameters) would strengthen the associations with depressive symptoms. In 115 insomnia disorder patients we found that anxiety was strongly associated with depressive symptoms in a model including circadian preference, dysfunctional beliefs of sleep, and self-reported previous depressive symptoms (R2 = 0.496, p < 0.001). The addition of sleep diary measures did not strengthen the model. We also found that the addition of objective measures (DLMO, PSG parameters) did not improve the subjective associations with depressive symptoms. Our data suggest that objective circadian markers are less important in the prediction of depressive symptoms in insomnia compared to subjective measures.

Sleep Irregularity Is Associated With Hypertension: Findings From Over 2 Million Nights With a Large Global Population Sample.

BACKGROUND: Irregularities in sleep duration and sleep timing have emerged as potential risk factors for hypertension. This study examined associations between irregularity in sleep duration and timing with hypertension in a large, global sample over multiple months. METHODS: Data from 12 287 adults, who used an under-mattress device to monitor sleep duration and timing and also provided blood pressure recordings on ≥5 separate occasions, were analyzed. Sleep duration irregularity was assessed as the SD in total sleep time across the ≈9-month recording period. Sleep timing irregularity was assessed as SDs in sleep onset time, sleep midpoint, and sleep offset time. Logistic regressions were conducted to investigate associations between sleep irregularity and hypertension, defined as median systolic blood pressure ≥140 mm Hg or median diastolic blood pressure ≥90 mm Hg. RESULTS: Participants were middle-aged (mean±SD, 50±12 years), mostly men (88%) and overweight (body mass index, 28±6 kg/m-2). Sleep duration irregularity was consistently associated with an ≈9% to 17% increase in hypertension independently of the total sleep time. A ≈34-minute increase in sleep onset time irregularity was associated with a 32% increase in hypertension (1.32 [1.20-1.45]). A 32-minute increase in sleep midpoint irregularity was associated with an 18% increase in hypertension (1.18 [1.09-1.29]), while a 43-minute increase in sleep offset time irregularity was associated with an 8.9% increase in hypertension (1.09 [1.001-1.18]). CONCLUSIONS: These findings support that sleep irregularity, both in duration and timing, is a risk marker for poor cardiovascular health. Further mechanistic investigations of temporal relationships between day-to-day fluctuations in sleep duration and timing, next-day blood pressure, and other cardiovascular outcomes are warranted.

The efficacy of intensive sleep retraining for insomnia: A systematic review and research agenda.

Intensive sleep retraining (ISR) is a brief behavioural treatment for sleep onset insomnia, administered in just a single overnight treatment session. This systematic review evaluates existing trials about the efficacy of intensive sleep retraining for treating insomnia, to inform whether there is enough evidence to recommend its use for clinical practice. A systematic literature search was conducted across three databases, yielding 108 results. Of these studies, three were deemed suitable for inclusion in this review. The included studies consistently reported significant reductions in insomnia symptoms following intensive sleep retraining, particularly decreases in sleep diary-derived sleep latency and increases in total sleep time. Based on these inconclusive but promising findings, a research agenda is proffered to test intensive sleep retraining as a treatment for insomnia. Large randomised controlled trials are needed to elucidate the potential benefits of intensive sleep retraining for different populations with insomnia, as are mechanistic trials to test which components underlie its seemingly therapeutic effects. Since more practical modalities of intensive sleep retraining administration have been developed, such trials are more feasible to conduct now than ever before.

Wearable Device-Delivered Intensive Sleep Retraining as an Adjunctive Treatment to Kickstart Cognitive-Behavioral Therapy for Insomnia.

Intensive Sleep Retraining is a behavioral treatment for sleep onset insomnia that produces substantial benefits in symptoms after a single treatment session. This technique involves falling asleep and waking up shortly afterward repeatedly: a process that is thought to retrain people to fall asleep quickly when attempting sleep. Although originally confined to the sleep laboratory, recent technological developments mean that this technique is feasible to self-administer at home. With multiple randomised controlled trials required to confirm its efficacy, Intensive Sleep Retraining may serve as an adjunctive treatment to cognitive-behavioral therapy for insomnia, improving short-term efficacy by kick-starting treatment gains.

Is cognitive behavioral therapy for insomnia (CBTi) efficacious for treating insomnia symptoms in shift workers? A systematic review and meta-analysis.

Shift workers commonly report insomnia symptoms. Cognitive behavioral therapy for insomnia (CBTi) is the first line treatment for insomnia, however efficacy in shift workers is not well understood. This systematic review and meta-analysis evaluates existing trials of CBTi in shift working populations. A systematic literature search was conducted across seven electronic databases (n = 2120). Fifty-two full-text articles were reviewed and of these, nine studies (across ten publications with a total of 363 participants) were deemed suitable for inclusion. Heterogeneity was considerable between studies, with variability in study design, style and delivery of intervention, and follow-up times. Small sample sizes were common and attrition was high. Some studies modified aspects of CBTi for use in shift workers, while others were limited to psycho-education as part of larger intervention studies. Mean differences (MD) pre and post CBTi were modest for both the insomnia severity index (ISI; MD: -3.08, 95% CI: -4.39, -1.76) and the Pittsburgh sleep quality index (PSQI; MD: -2.38, 95% CI: -3.55, -1.21). Neither difference was of a magnitude considered to reflect a clinically significant improvement. Tailored approaches to CBTi are needed for shift workers to improve efficacy, ideally including co-production with workers to ensure interventions meet this population's needs.

Emerging applications of objective sleep assessments towards the improved management of insomnia.

Self-reported sleep difficulties are the primary concern associated with diagnosis and treatment of chronic insomnia. This said, in-home sleep monitoring technology in combination with self-reported sleep outcomes may usefully assist with the management of insomnia. The rapid acceleration in consumer sleep technology capabilities together with their growing use by consumers means that the implementation of clinically useful techniques to more precisely diagnose and better treat insomnia are now possible. This review describes emerging techniques which may facilitate better identification and management of insomnia through objective sleep monitoring. Diagnostic techniques covered include insomnia phenotyping, better detection of comorbid sleep disorders, and identification of patients potentially at greatest risk of adverse outcomes. Treatment techniques reviewed include the administration of therapies (e.g., Intensive Sleep Retraining, digital treatment programs), methods to assess and improve treatment adherence, and sleep feedback to address concerns about sleep and sleep loss. Gaps in sleep device capabilities are also discussed, such as the practical assessment of circadian rhythms. Proof-of-concept studies remain needed to test these sleep monitoring-supported techniques in insomnia patient populations, with the goal to progress towards more precise diagnoses and efficacious treatments for individuals with insomnia.

The Good Sleeper Scale-15 items: a questionnaire for the standardised assessment of good sleepers.

Research with 'good sleepers' is ubiquitous, yet there are no standardised criteria to identify a 'good sleeper'. The present study aimed to create and validate a questionnaire for identifying good sleepers for use in research studies known as the Good Sleeper Scale-15 items (GSS-15). Data were derived from a population-based survey of Australian adults (n = 2,044). A total of 23 items were chosen for possible inclusion. An exploratory factor analysis (EFA) was conducted on ~10% of the survey dataset (n = 191) for factor identification and item reduction. A confirmatory factor analysis (CFA) was conducted on the remaining data (n = 1,853) to test model fit. Receiver operating characteristic curves and correlations were conducted to derive cut-off scores and test associations with sleep, daytime functioning, health, and quality-of-life. The EFA identified six factors: 'Sleep Difficulties', 'Timing', 'Duration', 'Regularity', 'Adequacy', and 'Perceived Sleep Problem'. The CFA showed that model fit was high and comparable to other sleep instruments, χ2 (63) = 378.22, p < 0.001, root mean square error of approximation = 0.05, with acceptable internal consistency (α = 0.76). Strong correlations were consistently found between GSS-15 global scores and outcomes, including 'a good night's sleep' (r = 0.7), 'feeling un-refreshed' (r = -0.59), and 'experienced sleepiness' (r = -0.51), p < 0.001. Cut-off scores were derived to categorise individuals likely to be a good sleeper (GSS-15 score ≥40) and those very likely to be a good sleeper (GSS-15 score ≥45). The GSS-15 is a freely available, robust questionnaire that will assist in identifying good sleepers for the purpose of sleep research. Future work will test relationships with other sleep measures in community and clinical samples.