Global Sleep Scores Research Articles

Effects of high-intensity interval training on subjective sleep quality and daytime sleepiness in patients with obstructive sleep apnea: A secondary analysis from a randomized controlled trial

This study aimed to verify the effect of 12 weeks of HIIT on the perceived sleep quality and excessive daytime sleepiness in patients with obstructive sleep apnea (OSA). For this, a secondary analysis of a randomized controlled trial, including 36 adults with moderate-severe OSA (19 males; 52.2 ± 9.8 years; body mass index = 34.2 ± 5.8; AHI = 42.0 ± 22.9 e/h) was performed. Participants were randomly assigned to HIIT [5 periods of 4 min of walking or running on a treadmill at 90–95 % of maximum heart rate (HRmax) interspersed with 3 min of walking at 50–55 % of HRmax performed three times per week for 12 weeks] or a control group (CG; stretching exercises performed two times per week for 12 weeks). Specific domains of subjective sleep quality and EDS were assessed at baseline and post 12 weeks. Generalized estimated equation were used to verify between groups and times differences. There were no group × time interactions for the domains sleep duration (0.416), sleep efficiency (0.198), sleep disturbance (0.523), and sleep medications (0.915). However, significant group × time interactions were observed for global sleep score (0.022), and for the domains sleep quality (0.001), sleep latency (0.029), and daytime dysfunction (0.012). In addition, there was a significant group × time interaction for EDS (HIIT = −3.4 ± 0.9; CG change = −1.0 ± 1.0; p = 0.023). Thus, in patients with OSA, 12 weeks of HIIT improves perceived sleep quality and daytime sleepiness.

Screen Time Among Medical and Nursing Students and Its Correlation With Sleep Quality and Attention Span: A Cross-Sectional Study.

Screen time is increasing among students and is also known to affect their lifestyle and health.The study investigated the correlation of screen time with sleep quality and attention span. A cross-sectional study was conducted among undergraduate medical and nursing students in November 2021. A total of 192 students were selected randomly and investigated using a structured questionnaire. Sleep behavior was assessed using the Pittsburg Sleep Quality Index. Screen time and attention span were measured for each participant. The screen time data was reported as the median with an IQR. Pearson's correlation was performed to assess the correlation between screen time and sleep behavior and screen time and attention span. The median screen time for 28 days was 260 (192.2-326.7) hours, and the median non-academic screen time was 250.0 (172.3-328.0) hours. Subjective sleep quality was good among 163 (84.9%) of the study participants. Global sleep quality was poor among 91 (42.2%) participants. The median score of the digit span forward was 6.00 (IQR: 5.00-7.00), and the median score of the digit span backward was 5.00 (IQR: 4.00-6.00). The global sleep score had a strong positive correlation with screen time, with a Pearson's correlation coefficient of 0.86. Forward and backward attention spans were not correlated with sleep scores, with correlation coefficients of 0.037 and 0.071, respectively. Screen time is increasing significantly among medical and nursing undergraduate students, and their sleep is also getting affected. Emphasis should be given to the balance between digitalization and health.

Changes in psychological outcomes and sleep quality following energy restriction with and without almonds

Associations between obesity and mental illness have been identified, but they are complex and bidirectional(1). Weight loss interventions have been proposed as a potential strategy to improve mental health in individuals with overweight or obesity, but the evidence remains inconclusive(2). Additionally, the role of specific foods in a weight loss diet and mental health outcomes is not well understood(3). This study aimed to explore the association between weight loss (with and without almonds) and self-administered psychological and sleep assessments, including the Profile of Mood States (POMS), the Perceived Stress Scale (PSS), the Zung Self-Rating Depression Scale (ZSDS), and the Pittsburgh Sleep Quality Index (PSQI). Participants (n = 140, 47.5 ± 10.8 years) with overweight or obesity (BMI: 30.7 ± 2.3 kg/m2) were randomised to an energy-controlled almond-enriched diet (AED) or nut-free diet (NFD). Psychological and sleep assessments were conducted at baseline, after 3 months of weight loss, and after 6 months of weight maintenance. Data were analysed using mixed-effects models and linear regression. For POMS, total mood disturbance score (TMDS) (60.2%, p = 0.01), fatigue-inertia (21.2%, p = 0.003), and vigor-activity (19.9%, p<0.001) improved over time (with no different between groups), with improvements associated with the magnitude of weight loss (TMDS: β = 0.059, p = 0.02; fatigue-inertia: β = 0.268, p = 0.016; vigor-activity: β=-0.194, p = 0.048). No significant changes were observed in tension-anxiety, depression-dejection, anger-hostility, or confusion-bewilderment. A significant group x time interaction (p = 0.048) was found for the PSS, which increased in the NFD group (10.1%) and decreased in the AED (1%) during the weight maintenance phase. No significant changes were observed for the ZSDS. The PSQI demonstrated significant improvement in both groups over time for sleep quality (11.3%, p<0.001), sleep latency (24.3%, p<0.001), sleep disturbance (39.2%, p = 0.04), and daytime dysfunction (290.4%, p<0.001), but not for sleep duration or habitual sleep efficiency. Summed scores, generating the global sleep score (GSS), demonstrated an overall significant improvement in both groups over time (33.5%, p<0.001), and these improvements were associated with weight loss (GSS: β = 0.863, p<0.001). The findings emphasise the importance of evaluating mental health outcomes in weight loss interventions and highlight the potential influence of weight management on mood and sleep quality. Further research is warranted to explore the impact of diet composition on perceived stress and other mental health outcomes.

The impact of 5-hydroxytryptophan supplementation on sleep quality and gut microbiota composition in older adults: A randomized controlled trial

Background and AimsSleep quality is a pivotal part of health and there is growing evidence on the association between gut microbiota composition and sleep quality. 5-Hydroxytryptophan (5-HTP) is known as a precursor of the sleep regulating neurotransmitter and hormone however, efficacy of 5-HTP supplementation for improving sleep quality in older adults is unclear. Hence, the aim of this study is to assess the impact of 5-HTP supplementation on sleep quality and gut microbiota composition in older adults. MethodsThis is a single-blinded, 12-week parallel randomized controlled. Thirty older adults (66 ± 3 years) in Singapore were randomly assigned to either consume or not consume 100 mg 5-HTP daily. Every 4 weeks, sleep quality was assessed via both subjective (Pittsburg Sleep Quality Index) and objective (actigraphy watch) measures. A global sleep score (GSS) was obtained from the PSQI, where a GSS>5 defines as poor sleeper while a GSS≤5 defines as good sleeper. Blood serotonin level, urine melatonin concentration, gut microbiota composition and stool short chain fatty acids (SCFA) content was assessed at week 0 and 12. This study was registered in clinicaltrials.gov as NCT04078724 (https://clinicaltrials.gov/ct2/show/NCT04078724) Results5-HTP supplementation showed an overall favorable effect on certain sleep quality components and an increase in serum serotonin concentration. In particular, at week 12, not good sleepers but poor sleepers with 5-HTP supplementation were able to significantly improve subjective GSS (ΔSL5-HTP: -2.80 ± 1.10 mins, p-value=0.005). In addition, they showed an increase in microbiota diversity (Simpson5-HTP vs. SimpsonControl: 0.037 ± 0.032 a.u. vs. -0.007 ± 0.022 a.u.; pinteraction: 0.013) and relative abundance of SCFA producing bacteria in the gut. Conclusions5-HTP supplementation can improve certain sleep quality components in older adults and this benefit was more prominently observed in poor sleepers. 5-HTP was also able to improve the gut microbiota composition in poor sleepers.

55 The Association of Prior Concussion and Subjective Sleep Quality in Young Adult Athletes

Objective:There is rising concern over the potential cumulative and long-lasting effects of prior concussions in active and retired athletes. Previous studies suggest that there is an inverse relationship between concussion (or mild traumatic brain injury) and sleep, with increasing evidence of individuals reporting chronically disrupted sleep following remote concussion. The extent to which these effects are cumulative across repeat concussions is unknown. This project aimed to investigate the association between the number of prior concussions and subjective sleep quality in otherwise healthy collegiate-aged athletes. Furthermore, we investigated which aspects of sleep are most associated with prior concussion.Participants and Methods:A total of 176 collegiate-aged athletes (Mage = 21.19, SD = 1.63; 65.9% men) completed off-season clinical visits, at least 6 months since their most recent concussion. Semi-structured interviews captured detailed sport and head injury history across the lifespan. The number of prior concussions for each participant was retrospectively assessed based on American Congress of Rehabilitation Medicine criteria. Subjective sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). A general linear model tested the relationship between number of prior concussions and global PSQI score (i.e., overall sleep quality). Logistic regression models were fit to investigate the association of the number of prior concussions with individual subcomponents of the PSQI (i.e., quality, latency, duration, efficiency, disturbances, use of sleep medications, and daily dysfunction), which were binarized based on their distribution. Sex and total number of years of exposure to contact sports were included as covariates for all models.Results:The number of prior concussions was significantly associated with worse overall sleep quality as assessed by the global PSQI score, F(3,172)=6.92, p= <0.001, unstandardized beta[B](standard error[SE])=0.54(0.14). Investigation of sub-components showed that the number of prior concussions was significantly associated with multiple PSQI subcomponents, including: poorer sleep quality, odds ratio [OR]=1.35, 95% CI [1.05, 1.74], p=0.02; longer sleep latency, OR=1.35, 95% CI [1.08, 1.68], p=0.008; more sleep disturbances, OR=1.56, 95% CI [1.15, 2.12], p=0.004; and more sleep-related daily dysfunction, OR=1.46, 95% CI [1.16, 1.83], p=0.001. The number of prior concussions was not significantly associated with sleep duration, sleep efficiency, or the use of sleep medication (ps>0.05). There were no years of exposure effects (ps>0.05). Select sex-related effects on sleep quality were observed. Specifically, women reported significantly worse global sleep scores, F(3,172)=6.92, p=0.048, B(SE)=-0.99(0.50), and women reported significantly more sleep disturbances, B(SE)=1.47(0.70), p=0.04, OR=4.34 (95% CI [1.11, 16.98].Conclusions:These results suggest a potential dose-effect of concussion history on poorer sleep quality ratings in otherwise healthy athletes. Specific facets of sleep that were adversely associated with prior concussion included sleep quality, latency, disturbances, and daily dysfunction, highlighting potential areas for sleep-related clinical interventions. Given the adverse effects of chronic sleep disturbance on mental health, future studies are needed to determine the role of concussion-related sleep problems in the adverse psychological outcomes observed in some athletes with multiple prior concussions.

Sleep profile and its correlation with clinical variables in fibromyalgia syndrome: A cross-sectional study

ObjectiveA scarcity of literature exists on sleep quality in fibromyalgia syndrome (FMS) in Indian patients. The current study described the sleep profile of patients with FMS with poor sleep quality residing in urban Bangalore and determined the relationship between poor sleep and fibromyalgia variables. MethodsEighty-six patients with FMS were included in the study. Pittsburgh Sleep Quality Index (PSQI) and Revised Fibromyalgia Impact Questionnaire (FIQR) were used to evaluate the sleep profile and fibromyalgia variables. Spearman's rank correlation, t-test, and one-way analysis of variance were used for the analyses. ResultsNinety-one percent of patients with FMS were identified as poor sleepers (PSQI >5). The mean PSQI global score of the included patients was 12.04 ± 3.5. The global sleep score varied with sex (p = 0.003) and fibromyalgia severity (p = 0.001). A significant correlation was found between PSQI global score and FIQR total score (r = 0.4, p < 0.001), FIQR subdomains (r = 0.2–0.4, p < 0.05), and FMS duration (r = 0.26, p < 0.05). The PSQI global score was also correlated with pain, depression, memory, anxiety, balance, and sensitivity (r = 0.2–0.3, p < 0.05). ConclusionSleep disturbance is highly prevalent in patients with FMS residing in urban Bangalore. Sleep quality tends to worsen in females with increasing FMS severity and duration but does not differ across other demographic variables. Sleep quality is significantly correlated with somatic as well as psychological variables. Future studies evaluating the predictors of poor sleep are needed to further corroborate these findings.

Examination of Dysfunctional Beliefs and Attitudes About Symptoms, Sleep Quality and Sleep in Patients Receiving Hemodialysis Treatment

Objective: This study was conducted to examine the relationship between symptoms, sleep quality, and dysfunctional beliefs and attitudes about sleep in patients receiving hemodialysis treatment.&#x0D; Material and Methods: This descriptive and correlational study was conducted with 120 patients undergoing hemodialysis in a private hemodialysis center. Data were collected using the Descriptive Information Form, Dialysis Symptom Index (DSI), Pittsburgh Sleep Quality Index (PSQI), and Dysfunctional Beliefs and Attitudes About Sleep Scale-16 (DBAS-16). The statistical analysis of the data obtained as a result of the study was analyzed using number, percentage, standard deviation and arithmetic mean as descriptive statistics, Pearson correlation test and structural equation modeling in IBM SPSS 26 program. Ethics committee approval and permission from the research institution were obtained for the conduct of the study. &#x0D; Results: The most common hemodialysis-related symptoms were fatigue (70.8%), feeling irritable (61.7%), difficulty falling asleep (60.8%). The mean PSQI Global sleep score of the patients was 7.40±5.02 points. Dialysis Symptom Index explained 26.5% of the change in PSQI Global sleep score in a statistically significant way (F=42.479 p

The Impact of Kiwifruit Consumption on the Sleep and Recovery of Elite Athletes.

Poor sleep and resultant under-recovery can negatively impact training adaptations, increase the risk of injury and reduce subsequent performance. Due to the 'food first' approach adopted by many athletes, there is scope for investigation of 'functional food' based interventions (i.e., kiwifruit contains melatonin which plays a role in circadian rhythm regulation) designed to promote athlete recovery and/or enhance sleep quality and quantity. Following the baseline assessment (Week 1) all subjects began the intervention (Weeks 2-5). During the 4-week intervention, participants were asked to consume 2 medium-sized green kiwifruit (Actinidia Deliciosa) an hour before bed. Participants completed a questionnaire battery at baseline and post-intervention, and a daily sleep dairy for the duration of the study. The results demonstrated a positive impact of kiwifruit consumption on key aspects of sleep and recovery in elite athletes. From baseline to post-intervention, there were clinically significant improvements in sleep quality (i.e., improved PSQI global scores and sleep quality component scores) and improvements in recovery stress balance (reduced general stress and sports stress scales). Moreover, the intervention improved sleep as evidenced by significant increases in total sleep time and sleep efficiency % and significant reductions in number of awakenings and wake after sleep onset. The findings broadly suggested that kiwifruit does impact positively on sleep and recovery in elite athletes.

Tracking sleep in the field: sleep quality and sleep behaviours of elite track and field athletes during preparation and competition

ABSTRACT Elite athletes are susceptible to inadequate sleep, which may peak during competition and be exacerbated by poor sleep behaviours. This study sought to characterise and compare the sleep quality and sleep behaviours of elite track and field athletes during preparation and major competitions. Forty elite international track and field athletes (50% female, aged 25.1 ± 3.9 years) completed the Athlete Sleep Screening Questionnaire and the Athlete Sleep Behaviour Questionnaire on three separate occasions: during habitual training, during a pre-meet training camp and during a major international competition. Overall, 62.5% of athletes reported at least mild sleep difficulty during competition. Athletes reported higher sleep difficulty and poorer sleep behaviour during major competitions and the pre-meet training camp compared to habitual training (P = .001–.025). No significant differences were observed between the training camp and major competition. Global sleep behaviour scores were underpinned by unique characteristics at each timepoint. Sleep behaviour (R2 = .330, P = .017), injury status (R2 = .253, P = .003) and major championship experience (R2 = .113, P = .034) were associated with sleep difficulty during competition. Sleep quality and behaviours vary according to stage of the track and field season, providing a foundation for targeted intervention.

Assessing sleep health dimensions in frontline registered nurses during the COVID-19 pandemic: implications for psychological health and wellbeing.

The COVID-19 pandemic altered work environments of nurses, yielding high rates of stress and burnout. Potential protective factors, including effective sleep, may influence psychological health and wellbeing. Evidence about sleep in nurses may help develop interventions that mitigate burnout and poor psychological outcomes. A cross sectional survey was distributed across three hospitals to nurses in New York City (NYC). During the first wave of the pandemic (March-April 2020), NYC had the highest incidence of laboratory-confirmed COVID-19 cases (915/100 000) and half of all COVID-related deaths nationwide. Multivariable logistic regression was used to determine associations between Pittsburgh Sleep Quality Index (PSQI) global sleep score, PSQI sleep dimensions, and psychological health (burnout, depression, anxiety, and compassion fatigue), unadjusted and then controlling for individual and professional characteristics. More than half of the participants reported burnout (64%), depression, (67%), and anxiety (77%). Eighty percent of participants had PSQI global scores >5 (poor sleep) (mean 9.27, SD 4.14). Respondents reporting good sleep (PSQI ≤ 5) had over five times the odds of no burnout (OR: 5.65, 95% CI: 2.60, 12.27); increased odds of screening negative for depression (OR: 6.91, 95% CI: 3.24, 14.72), anxiety (OR: 10.75, 95% CI: 4.22, 27.42), and compassion fatigue (OR: 7.88, 95% CI: 1.97, 31.51). Poor subjective sleep quality PSQI subcomponent was associated with burnout (OR: 2.21, 95% CI: 1.41, 3.48) but sleep duration subcomponent was not (OR: 0.84, 95% CI: 0.59, 1.19). Daytime dysfunction was significantly associated with all psychological outcomes. Sleep disturbances and medications yielded higher anxiety odds. Overall, sleep quality appears more strongly related to burnout than sleep duration in nurses working during the COVID-19 pandemic. Sleep interventions should target individual sleep dimensions in nurses.

Is Poor Sleep Quality Associated with Lower Levels of and Faster Declines in Cognitive Function? Results from the Kaiser Healthy Aging and Diverse Life Experiences (KHANDLE) Study

AbstractBackgroundPoor sleep quality has been linked to worse cognitive function, but most research has been conducted in predominantly White samples. We investigated whether poorer sleep quality is associated with lower levels of and faster declines in cognition and whether these associations differ by race/ethnicity.MethodWe used data from KHANDLE (N = 1,438; mean age: 75.7 years), a multi‐ethnic cohort of Kaiser Permanente Northern California members. We created a global sleep score by summing scores on six sleep components assessed by a modified Pittsburgh Sleep Quality Index: subjective sleep quality, latency, duration, disturbances, sleep medication use, and daytime dysfunction. Executive function (EF) and verbal memory (VM) were assessed by the Spanish and English Neuropsychological Assessment Scale (3 waves each separated by 18 months). Linear regression models assessed the associations between sleep quality and baseline cognition. To understand associations with cognitive decline, we fit linear mixed‐effect models with random intercepts accounting for practice effects and interview mode. Covariates included baseline age, gender, income, education, depression, physical activity, and central adiposity. We included interactions between time (years since baseline) and sleep and time and covariates to determine associations between sleep and cognitive decline. To assess racial/ethnic differences, we included interactions (race*sleep in linear regression models and time*sleep*race in mixed‐effect models for each racial/ethnic category) and performed likelihood ratio tests to determine the presence of interactions.ResultAfter adjusting for covariates, sleep quality was not associated with baseline EF or VM and the associations did not differ by race/ethnicity (Figure 1). Overall, poorer sleep quality was associated with faster declines in EF (β time*sleep = ‐0.02, 95% CI ‐0.03, ‐0.004: Figure 2). The associations between sleep and declines in EF were modified by race/ethnicity (β time*sleep*Black = ‐0.06, 95% CI ‐0.09, ‐0.03), such that poorer sleep quality was associated with faster declines in EF among Black adults only (β time*sleep = ‐0.06, 95% CI ‐0.08, ‐0.04; Figure 3).ConclusionPoorer sleep quality was associated with faster cognitive decline, and the association was particularly strong among Black older adults. Further research is needed to elucidate the mechanisms through which sleep influences cognitive decline among Black populations.

A two-week course of transcutaneous vagal nerve stimulation improves global sleep: Findings from a randomised trial in community-dwelling adults.

Short sleep duration and poor sleep quality are common in the general population. This study tested if a 2-week course of daily transcutaneous vagal nerve stimulation (tVNS) improves sleep in community-dwelling adults. Participants were n=68 men and women aged 18-75years randomised into four groups: early and sham tVNS and late and sham tVNS. Early groups underwent daily 4h stimulation between Day 0 and 13, while late groups underwent daily 4h stimulation between Day 14 and 28. tVNS was performed with transcutaneous electrical nerve stimulation (TENS) on the left tragus, and sham tVNS (control conditions) was applied on the left earlobe. Sleep was measured with the Pittsburgh Sleep Quality Index. Analysis of prespecified contrasts (C), based on linear mixed modelling, revealed that for tVNS there were significant improvements in global sleep scores over time between Day 0 and Day 13 in the early stimulation phase (C=-1.90; 95% CI=-2.87 to -0.94), and between Day 14 and Day 28 in the late phase (C=-0.87; 95% CI=-1.41 to -0.32). No such differences were found under sham tVNS (applied early or late). However, global sleep scores showed no significant improvement under tVNS when compared against control groups during both the early (χ2=0.83, p=0.36), or late stimulation phase (χ2=0.24, p=0.63). We showed that two weeks of tVNS improves global sleep scores, but the change in sleep was not significantly different to control groups. Further studies are warranted to test the utility of tVNS in alleviating sleep complains in community-dwelling adults.

Impact of 5-Hydroxytryptophan Supplementation on Gut Microbiota Composition of Older Adults With Different Sleep Status in Singapore: A Randomized Controlled Trial

ObjectivesThe gut and brain communicate bidirectionally through the gut brain axis. Lower microbial diversity has been observed in populations with sleep disturbances. 5-Hydroxytryptophan (5-HTP) is known as a potential modulator of sleep quality, while its impact on the gut remains unclear. The aim of this study was to assess the impact of 5-HTP on gut microbiota in older Singaporeans with different sleep status. MethodsThis study is a single-blinded, 12-week parallel randomized controlled trial. Thirty older adults (66 ± 3 years, mean ± SD) were randomly assigned to either consume or not consume 100 mg 5-HTP daily. Their baseline sleep status was evaluated using global sleep score (GSS): GSS ≤ 5 (good sleepers, n:17); GSS > 5 (poor sleepers: n:13). Characterization of the bacterial population from the stool samples collected at week 0 and 12 was analyzed through 16S metagenomic sequencing. Microbiota composition between GSS ≤ 5 and GSS > 5 was compared via MetaStat analysis. The main effect and interaction of 5-HTP on gut microbiota composition was evaluated by mixed analysis of variance (ANOVA). ResultsAt baseline, poor sleepers have a significantly lower relative abundance of Firmicutes than good sleepers (GSS > 5: 3.78 × 10–1 ± 5.43 × 10–2; GSS ≤ 5: 4.33 × 10–1 ± 9.32 × 10–2; p-value: 0.048). After a 12-week consumption of 5-HTP, subjects with GSS > 5 showed an increase in α-diversity (Simpson5-HTP vs. SimpsonControl: 0.037 ± 0.032 vs. –0.007 ± 0.022; pinteraction: 0.013). 5-HTP supplementation also showed interaction effects on the relative abundance of Bacteroidota (Bacteroidota5-HTP vs. BacteroidotaControl: –1.03 × 10–1 ± 4.99 × 10–2 vs. –3.06 × 10–2 ± 4.39 × 10–2; pinteraction: 0.019) and Firmicutes (Firmicutes5-HTP vs. FirmicutesControl: 1.10 × 10–1 ± 2.40 × 10–2 vs. 2.02 × 10–2 ± 7.82 × 10–2; pinteraction: 0.031). No significant changes were observed for GSS ≤ 5 group. ConclusionsIn older adults, 5-HTP consumption modulated gut microbiota composition in poor sleepers (GSS > 5). However, no influence to the gut microbiota was observed in good sleepers (GSS ≤ 5). Funding SourcesNUS iHealthtech Microbiome in Health, Disease and Ageing.

0594 Functional Limitations and Well-Being Throughout the Adult Lifespan: The Moderating Role of Sleep

Abstract Introduction Functional limitations represent individuals’ difficulty with completing essential activities of daily living, such as sitting, stooping, and walking. Though functional limitations have been linked to lower well-being outcomes, less is known about potential protective factors for well-being in the lived experience of functional limitations. This study aimed to examine the potential moderating effect of sleep quality on the association between functional limitations and life satisfaction, a common indicator of well-being, across the adult lifespan. Methods The present study used archival data from the Midlife in the United States Refresher study. Participants included 696 individuals (50.6% female, Mage=51.58 years, SD=13.61 years) who completed measures of functional limitations (Functional Status Questionnaire), global sleep quality (Pittsburg Sleep Quality Index), and life satisfaction (single-item measure). A moderated moderation analysis was conducted to examine the moderating role of sleep quality on the association between functional limitations and life satisfaction. Age was included as a secondary moderator in the analysis to determine differences between age groups (younger, middle-aged, elders). Demographic variables of gender and racial identity were used as covariates in study analyses. Results Participants’ global sleep score was a significant moderator of the association between functional limitation status and life satisfaction (B = 0.16, p &amp;lt; .001). Overall better global sleep quality buffered the association between higher functional limitations and worse life satisfaction. A significant three-way interaction between age, global sleep, and functional limitations was detected (β = -0.003, ΔR2 = .02, F(1, 686) = 12.25, p &amp;lt; .001). The effect of global sleep on the association between life satisfaction and functional limitation status was significant for younger adults (B = 0.07, p &amp;lt; .001) and middle-aged adults (B = 0.02, p = .0224), but not for elders (B = -0.02, p = .2223). Better global sleep quality buffered the negative association between functional limitations and life satisfaction specifically for younger and middle-aged adults. Conclusion The current study provided evidence for the importance of sleep quality in the lived experience of functional limitations, particularly for younger and middle-aged adults. This study contributes to a rapidly growing body of literature that seeks to identify protective factors for individuals experiencing lower functioning. In the future, clinicians should integrate sleep quality screeners in medical and mental health care settings in order to identify at-risk individuals who are experiencing functional limitations, and potentially consider establishing preventative, education-based interventions concerning sleep in the experience of functional limitations. Support (If Any)

The relationship between high-density lipoprotein cholesterol and overall sleep quality in the adult population with asthma.

Previous basic studies have shown that high-density lipoprotein cholesterol (HDL-C) has anti-inflammatory effects that protect against asthma. Our study was aimed at examining the association between blood lipid levels and sleep quality in the adult population with asthma. We evaluated the blood lipid levels and sleep scores of 1013 adult participants in the Midlife in the United States (MIDUS) study to investigate the association of lipid levels with overall sleep quality using linear regression models in subjects with asthma and without asthma, respectively. In a total of 1013 participants (with asthma = 127 and without asthma = 886) included in our study, participants with asthma had poor sleep quality, compared with participants without asthma. Moreover, our smooth curves suggested that blood HDL-C and triglyceride levels, rather than total cholesterol and low-density lipoprotein cholesterol (LDL-C), were significantly associated with global sleep score. Multivariate correction models were used to further evaluate blood lipid profiles and the overall sleep quality. We observed that only blood HDL-C levels were still negatively and independently associated with global sleep score in participants with asthma (Sβ = -0.224, 95% CI -0.448, -0.001, P = 0.049) but not in participants without asthma (Sβ = -0.016, 95% CI -0.087, 0.055, P = 0.656) in Model 3 after adjusting for age, gender, ever smoker, number of drinking years, exercise and body mass index (BMI). Obviously, asthma had a modification effect on the independent association (P interaction = 0.022). Our study suggested that elevated blood HDL-C levels are associated with a reduced risk for poor sleep quality in the adult population with asthma but not in those without asthma.

Associations between Sleep Quality and Heart Rate Variability: Implications for a Biological Model of Stress Detection Using Wearable Technology.

Introduction: The autonomic nervous system plays a vital role in the modulation of many vital bodily functions, one of which is sleep and wakefulness. Many studies have investigated the link between autonomic dysfunction and sleep cycles; however, few studies have investigated the links between short-term sleep health, as determined by the Pittsburgh Quality of Sleep Index (PSQI), such as subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction, and autonomic functioning in healthy individuals. Aim: In this cross-sectional study, the aim was to investigate the links between short-term sleep quality and duration, and heart rate variability in 60 healthy individuals, in order to provide useful information about the effects of stress and sleep on heart rate variability (HRV) indices, which in turn could be integrated into biological models for wearable devices. Methods: Sleep parameters were collected from participants on commencement of the study, and HRV was derived using an electrocardiogram (ECG) during a resting and stress task (Trier Stress Test). Result: Low-frequency to high-frequency (LF:HF) ratio was significantly higher during the stress task than during the baseline resting phase, and very-low-frequency and high-frequency HRV were inversely related to impaired sleep during stress tasks. Conclusion: Given the ubiquitous nature of wearable technologies for monitoring health states, in particular HRV, it is important to consider the impacts of sleep states when using these technologies to interpret data. Very-low-frequency HRV during the stress task was found to be inversely related to three negative sleep indices: sleep quality, daytime dysfunction, and global sleep score.

Association Between Dietary Protein Intake and Sleep Quality in Middle-Aged and Older Adults in Singapore.

Poor sleep has been associated with the increased risk of developing detrimental health conditions. Diet and certain nutrients, such as dietary protein (PRO) may improve sleep. This cross-sectional study aimed to investigate the relationship between PRO intake, their amino acid components, and sources with sleep quality in middle-aged and older adults residing in Singapore. A dataset of 104 healthy subjects between the age of 50 and 75 years old were used. Collected data included 3-day food record and sleep quality [sleep duration, global sleep score (GSS), sleep latency (SL), and sleep efficiency (SE)]. The collected 3-day food records were extracted for PRO, tryptophan (Trp), and large neutral amino acid (LNAA) intake. PRO intake was further categorized into plant and animal PRO. A multivariate multiple linear regression (MLR) was performed to assess the association between PRO intake and sleep quality. Dietary Trp:LNAA ratio was positively associated with sleep duration (βtotal: 108.234 h; p: 0.005) after multiple covariates adjustment. Similarly, plant Trp (βplant: 2.653 h/g; p: 0.020) and plant Trp:LNAA (βplant: 54.006 h; p: 0.008) was positively associated with sleep duration. No significant associations were observed for both SL and SE. Sleep duration in middle-aged and older Singaporean adults was positively associated with dietary Trp and Trp:LNAA, especially when obtained from plant sources.

Sleep problems in rheumatoid arthritis over 12 years from diagnosis: results from the Swedish EIRA study

ObjectiveMost studies of rheumatoid arthritis (RA) and sleep have focused on established RA. We here investigate sleep quality and sleep duration in patients with newly diagnosed RA and during 1–12...

The Impact of 5-Hydroxytryptophan Supplementation on Sleep Quality of Older Adults in Singapore: A Randomized Controlled Trial

Abstract Objectives Sleep quality has been associated with a number of health conditions such as cognitive impairment and cardiovascular disease. 5-Hydroxytryptophan (5-HTP) is known as a precursor of the sleep regulating serotonin and melatonin. However, 5-HTP's efficacy for improving sleep in older adults is unclear. The aim of this study is to assess the impact of 5-HTP on sleep quality in older Singaporean adults. Methods This study is a single-blinded, 12-week parallel randomized controlled trial, where 20 older adults (67 ± 4 years, mean ± SD; 8 M, 12 F) were randomly assigned to either consume or not consume 100 mg 5-HTP daily. Sleep quality data were collected every 4 weeks via both subjective and objective measures such as Pittsburg Sleep Quality Index (PSQI) questionnaire and actigraphy watch. A global sleep score (GSS) was obtained from the PSQI, where a GSS &amp;gt; 5 has been validated to be associated with poor sleep quality. In addition, other sleep quality components that were also extracted include total sleep time (TST), sleep latency (SL) and sleep efficiency (SE). The main effect and interaction of 5-HTP on sleep were evaluated by repeated-measure analysis of variance (ANOVA). Results At baseline, subjects had an overall GSS of 5.9 ± 3.1 a.u. (5-HTP group: 6.3 ± 3.8 a.u.; Control group: 5.5 ± 2.3 a.u.) and this indicated poor sleep quality. Consumption of 5-HTP after 4 and 8 weeks showed a favorable decrease in their objective SL (SLObj) from their baseline (week 4: −18.2 ± 21.1 min; week 8: −17.8 ± 19.2 min). On the other hand, the control group did not display desirable change in SLObj (week 4: 2.4 ± 21.6 min; week 8: 1.5 ± 21.4 min). Repeated-measures ANOVA revealed a significant treatment-by-time effect between 5-HTP consumption and SLObj at week 4 (P = 0.045) and week 8 (P = 0.033), but not at week 12 (P = 0.135). A significant treatment-by-time decrease in subjective TST (−0.1 ± 0.4 hrs, P = 0.027) observed at week 12. No changes in GSS and other subjective and objective measures of sleep quality were detected. Conclusions Older adults had poor sleep quality and 5-HTP supplementation helped reduce sleep latency for up to 8 weeks. Prolonged effects were not observed, and this may be due to acclimation of the body to longer-term 5-HTP supplementation. Funding Sources NUS iHealthtech Microbiome in Health, Disease and Ageing.

The Impact of Supplementation With Whey Protein Isolate and/or Omega-3 Fatty Acids on Sleep and Mood in Postmenopausal Women (SHAPE Study)

Abstract Objectives Approximately 30% of adults ≥ 50 years of age suffer from poor sleep quality and the prevalence of sleep disruption is notably higher in postmenopausal women, with 35 to 60% reporting significant sleep disruption. Sleep deprivation and low sleep quality are associated with increased energy intake, insulin resistance, elevated glucose, and mood disturbances (e.g., stress, cortisol, and depression). The objective of this study was to determine if the effect of protein and/or omega-3 fatty acid (O3FA) supplementation improves mood and sleep in postmenopausal women. Methods Thirty-nine postmenopausal women (age: 61.3 ± 8.7 years; BMI: 27.6 ± 6.6 kg/m2) were randomly allocated to one of 5 groups: 1) control (CON; no intervention free-living; n = 6), 2) whey protein isolate (PRO; 25 g/d; n = 7), 3) O3FA (DHA/EPA; 4.3 g/d; n = 10), 4) PRO + placebo soybean oil (PRO + PLA; 4.1 g/d; n = 7), or 5) PRO + O3FA (n = 9). Sleep and mood states were assessed at 0, 4, 8, 12, and 16 weeks, except objective sleep, which was assessed at 0, 8, and 16 weeks. Sleep was measured using the Pittsburgh Sleep quality Index (PSQI) and wrist actigraphy, mood was measured using the Profile of Mood States (POMS), and markers of sleep and mood, orexin, BDNF, and cortisol, were measured using commercially available kits. Results A significant time effect (P &amp;lt; 0.05) was observed on subjective sleep (PSQI), subjective mood states, BDNF, and cortisol concentrations. Although not significant, a greater % decrease in PSQI Global Sleep Score was observed in PRO (-30.3%), O3FA (-23.3%), PRO + PLA (−20.2%), and PRO + O3FA (−26.4%) when compared to an increase in CON (+18%). Similarly, a decrease trend in POMS Total Mood Disturbances from baseline was observed in PRO (−10 ± 27.7), O3FA (−6.7 ± 18.2), and PRO + O3FA (−6.9 ± 27.7) compared to no change in PRO + PLA (0.1 ± 11.5) and an increase in CON (5 ± 15.8). We observed a significant treatment effect on orexin (OXA; pg/mL; P &amp;lt; 0.05). OXA increased significantly in PRO + O3FA compared to all other groups (P &amp;lt; 0.05). Conclusions Although not significant, the data suggests individual and combined supplementation of protein and O3FA have the potential to improve sleep, mood, and orexin levels in postmenopausal women. NCT0303041 Funding Sources Arkansas Biosciences Institute