The association of comorbidities with sleep quality among Australians with multiple sclerosis: Insights from the Australian Multiple Sclerosis Longitudinal Study.

BACKGROUND: Comorbidities and poor sleep quality are prevalent among individuals with multiple sclerosis (MS). Our understanding of the effects of comorbidities on sleep quality in MS remains limited. OBJECTIVES: The objectives were to investigate whether the number and presence of specific comorbidities have associations with sleep quality and to assess the relative contribution of comorbidity groups to sleep quality. METHODS: We collected data on sleep quality (using Pittsburgh Sleep Quality Index (PSQI)) and presence of comorbidities in people with MS (n = 1597). Associations between comorbidities and sleep quality were examined using linear regression and dominance analysis. RESULTS: Having more comorbidities was associated with poorer sleep quality (p for trend < 0.001). All 13 groups of comorbidities explained 12.9% of the variance in PSQI from which half of the variance was contributed by mental health disorders. In total, 16 of the 28 comorbidities were associated with significantly worse sleep quality, with the strongest associations seen for 'other autoimmune diseases' (ß = 1.98), depression (ß = 1.76), anxiety (ß = 1.72) and rheumatoid arthritis (ß = 1.62). CONCLUSIONS: Many individual comorbidities are associated with poorer sleep quality, with mental health disorders making the largest relative contribution. Optimal management of comorbidities that make the greatest contributions could have the largest benefit for improving sleep in MS.

Dimensionality and cross-language invariance of Pittsburgh Sleep Quality Index among Indian adolescents and adults.

Sleep quality, key to physical and mental health, requires regular assessment in clinical and non-clinical settings. Despite widespread use, the dimensionality of the Pittsburgh Sleep Quality Index (PSQI) is debated, and its Hindi version's factor structure remains unexplored. Our study evaluates the PSQI's dimensionality among Indian adolescents and adults aiming to demonstrate cross-language (Hindi and English) invariance of its factor structure. The PSQI showed satisfactory item reliability, and a best-fitting two-factor model: "sleep efficiency" (comprising sleep duration and habitual sleep efficiency), and "perceived sleep quality" (comprising remaining five PSQI components). This model showed configural invariance across age groups, sexes, and languages. Metric invariance was noted across age groups, but a partial metric non-invariance was observed across languages and sexes as reflected by differences in factor loadings. The second-order factor structure model had an excellent fit indicating the usefulness of aggregate scores of the two factors as a single index of sleep quality. Our findings better support a two-factor structure of sleep quality (both for English and Hindi versions of PSQI) in India. However, further validation in diverse clinical and non-clinical samples is warranted.

The optimal exercise intervention for sleep quality in adults: A systematic review and network meta-analysis.

BACKGROUND: The impact of various exercise modalities on the improvement of sleep quality in adults remains controversial. OBJECTIVE: This study aimed to perform a network meta-analysis to analyze the effects of different exercise interventions on sleep quality in adults. METHODS: The PubMed, Cochrane, Embase, Web of Science, and EBSCO databases were searched for studies published from March 18, 1993, to March 18, 2023. The Cochrane risk of bias tool was used to assess the quality of the included studies. Then, a random-effects network meta-analysis was conducted within a frequentist framework. RESULTS: A total of 2142 participants from 27 randomized controlled trials were included in the analysis. Exercise modalities such as Pilates, yoga, and traditional Chinese exercises were found to significantly improve sleep quality when compared to a no-exercise control group, with Pilates exhibiting the most potent effect at a 95.3% improvement level. CONCLUSION: This study demonstrates that exercise interventions are effective in enhancing sleep quality in adults. Adapting exercise to individual preferences and needs may maximize the sleep-related benefits of the activity. REGISTRATION: The review was registered with PROSPERO, registration number CRD42023434565.

Sleep disorders in patients with endometriosis; a cross-sectional study.

BACKGROUND: Endometriosis affects 10-15% of women of reproductive age and is considered a critical gynecological problem. Endometriosis causes pain and infertility, both of which can impair the patient's quality of life. Sleep disorders account for the most bothersome presentation of impaired quality of life. This study investigated the frequency and severity of sleep disorders in women with endometriosis. METHODS: In this analytical cross-sectional study, 665 women referred to three hospitals in Tehran, Rasool-e-Akram, Pars, and Nikan, were included (463 patients with endometriosis and 202 women without endometriosis). All of them were informed about the study design and the aim of the research, and then they were asked to sign the consent form and complete the Pittsburgh Sleep Quality Index (PSQI). After data gathering and entering, they were analyzed by SPSS version 22 and were considered significant with P < 0.05. RESULTS: The study population's mean age was 35.4 ± 7.9 years. The mean global PSQI score in the case group (endometriosis patients) was higher than in the control group (non-endometriosis patients) (10.6 vs. 7.1; P < 0.001). Patients with dyspareunia, dysuria, pelvic pain, and dyschezia had a significantly higher PSQI score (P < 0.05). CONCLUSION: According to the findings of the present study, the sleep quality in endometriosis patients is low, and there is a need to pay greater attention to these patients. This may result in some changes in the therapeutic strategies for this disease.

Relationship between sleep quality and gravitational Tolerance.

BACKGROUND: The purpose of this study was to investigate the relationship between sleep quality and gravitational tolerance because sleep could directly affect physiological variables of the human body. METHODS: For the present study, 157 male Korea Air Force Academy cadets were recruited. They were assigned into a gravity (G)-tolerance test pass group (GP, n = 87) and a G-tolerance test fail group (GF, n = 70). All participants were assessed for G-tolerance test and Pittsburgh Sleep Quality Index (PSQI), a self-report questionnaire. Physical fitness test was performed based on the physical fitness test of the Ministry of National Defense of Korea. RESULTS: Independent t-test showed that PSQI global score (p < 0.001), PSQI sleep quality (p < 0.001), PSQI sleep onset latency (p = 0.009), PSQI sleep disturbance (p < 0.001), and PSQI daytime dysfunction (p < 0.001) were significantly different between the two groups. Participants with PSQI score less than 5 were more likely to have a longer G-tolerance test time (OR = 4.705, 95% CI = 2.00-11.05). Additionally, associations between those with PSQI score less than 5 (OR = 4.567, 95% CI = 1.94-10.74) were after adjusting (< 30 s and ≥ 30 s) for covariates. A negative correlation was found between G-tolerance test time and PSQI global score (p < 0.001). Negative correlations were found among 3 km running, push-up (p < 0.001), and sit-up (p < 0.001). A positive correlation was found between push-up and sit-up (p < 0.001). CONCLUSION: In conclusion, participants with good sleep quality were 4.705 times more likely to have longer G-tolerance test time. Thus, it is important for aircraft pilots to manage their sleep quality. Pre-pilots should also improve their sleep quality to pass the G-tolerance test.

Doxepin is more effective than zolpidem in improving executive function in patients with insomnia disorder.

BACKGROUND : Insomnia disorder is associated with an impairment in cognitive performance. Doxepin and zolpidem have been found to be effective in improving sleep. In this study, we aimed to compare the effects of doxepin and zolpidem on sleep structure and executive function in patients with insomnia disorder. METHODS: Patients with primary insomnia were randomly assigned to receive doxepin 6 mg/day orally or zolpidem 5-10 mg/day orally. Polysomnography (PSG) and the Pittsburgh Sleep Quality Index (PSQI) were used at baseline and after the 8-week treatment to compare clinical efficacy in the two groups. Safety was assessed using the Treatment Emergent Symptom Scale (TESS). Executive function was evaluated using the Wisconsin sorting card test (WSCT). RESULTS: Of 120 patients enrolled in the study, 60 participants were assigned to each group. A total of 109 participants (53 in the doxepin group and 56 in the zolpidem group) completed the study. After treatment, the wake after sleep onset (WASO) and total sleep time (TST) values in the doxepin group were 80.3 ± 21.4 min and 378.9 ± 21.9 min, respectively, which were significantly better than those in the zolpidem group (132.9 ± 26.5 min and 333.2 ± 24.2 min, respectively; (P < 0.05)). The sleep onset latency (SOL) value in the zolpidem group (20.3 ± 4.7 min) was significantly better than that in the doxepin group (28.2 ± 5.6 min; P < 0.05). The sleep efficiency (SE) in the doxepin group was 77.8 ± 4.2%, which was significantly better than that in the zolpidem group (68.6 ± 5.0%; P < 0.05). The PSQI score of the doxepin group was 6.1 ± 1.1, which was significantly lower than that in the zolpidem group (7.9 ± 1.9; P < 0.05). The treatment adverse events in the doxepin group was 23.3%, which was significantly higher than that in the zolpidem group (13.3%; P < 0.05). The WSCT showed a significant improvement in persistent errors (PE), random errors (RE), and categories in the two groups after 8-week treatment, and the improvement in RE and the categories was more obvious in the doxepin group (P < 0.05). CONCLUSIONS: Both doxepin and zolpidem were found to be effective in improving sleep quality, but the effects exhibited different patterns. Doxepin improved executive function more effectively than zolpidem in patients with insomnia disorder.

The impact of online yoga on sleep and quality of life in women with breast cancer: a randomized trial.

INTRODUCTION: There is growing evidence of the benefit of physical activity and mindfulness in breast cancer patients (HC et al. in BMC Complement Altern Med, 2017). Yoga offers a combination of both. The aim of this study was to establish an online yoga program for breast cancer patients and survivors. As the project was launched during the (COVID) pandemic restrictions, we intended to prove effective online yoga as a way to access supportive therapy independently of sanitary issues and geographic locations in rural regions. METHODS: The two main outcomes were quality of life and sleep quality, and both were evaluated by standardized questionnaires (EORTC-QLQ 30 BR 23 and PSQI). Participants (n = 173) had breast cancer or a history of breast cancer and were randomized to either 6 weeks online yoga, twice a week for 45 min or a waiting control group. RESULTS: Our results show improved sleep quality in the PSQI score and improved subitems (dyspnea and physical activity) in the EORTC quality of life score. DISCUSSION: Online yoga seems to be a valid option in supportive therapy for breast cancer patients, as it improves physical fitness, dyspnea and overall sleep quality. It is also safe and cost effective as a remote intervention. TRIAL REGISTRATION: Trial registration number and date of registration for prospectively registered trials: DRKS00029548, 07.07.2022.WHO International clinical trials registry platform number: DRKS00029548. The registration number of the ethical committee CAU in Kiel: D 589/20.

Classification of Sleep Quality and Aging as a Function of Brain Complexity: A Multiband Non-Linear EEG Analysis.

Understanding and classifying brain states as a function of sleep quality and age has important implications for developing lifestyle-based interventions involving sleep hygiene. Current studies use an algorithm that captures non-linear features of brain complexity to differentiate awake electroencephalography (EEG) states, as a function of age and sleep quality. Fifty-eight participants were assessed using the Pittsburgh Sleep Quality Inventory (PSQI) and awake resting state EEG. Groups were formed based on age and sleep quality (younger adults n = 24, mean age = 24.7 years, SD = 3.43, good sleepers n = 11; older adults n = 34, mean age = 72.87; SD = 4.18, good sleepers n = 9). Ten non-linear features were extracted from multiband EEG analysis to feed several classifiers followed by a leave-one-out cross-validation. Brain state complexity accurately predicted (i) age in good sleepers, with 75% mean accuracy (across all channels) for lower frequencies (alpha, theta, and delta) and 95% accuracy at specific channels (temporal, parietal); and (ii) sleep quality in older groups with moderate accuracy (70 and 72%) across sub-bands with some regions showing greater differences. It also differentiated younger good sleepers from older poor sleepers with 85% mean accuracy across all sub-bands, and 92% at specific channels. Lower accuracy levels (<50%) were achieved in predicting sleep quality in younger adults. The algorithm discriminated older vs. younger groups excellently and could be used to explore intragroup differences in older adults to predict sleep intervention efficiency depending on their brain complexity.

Poor Sleep Quality in Jamaican Adults With Sickle Cell Disease: Prevalence, Risk Factors, and Association With Quality of Life.

Poor sleep and chronic illnesses have a bidirectional relationship where presence of one can worsen the other. Sickle cell disease (SCD) is associated with significant morbidity and early mortality. In this study, we examine sleep quality, its predictors, and its association with quality of life in Jamaican adults with SCD. This cross-sectional study evaluated 177 well adult SCD patients for sleep quality using The Pittsburgh Sleep Quality Index (PSQI) and quality of life using the Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me). Multiple linear regression models examined the predictors of poor sleep quality. The mean global PSQI score was 6.9 (SD 4.2) with 56.5% having poor sleep quality. Women had significantly worse scores for sleep efficiency (p 0.005), sleep latency (p 0.03) and higher use of sleeping medications (p 0.02). Those overweight/obese had significantly worse subjective sleep quality (p 0.001) and sleep efficiency (p 0.05). In multivariate regression analysis, overweight individuals had poorer sleep quality (OR: 2.9; 95% C.I.: 1.07, 7.88) than those with normal weight whereas those unemployed and looking for a job had lower prevalence of poor sleep quality (OR 0.2; 95% C.I.: 0.05, 0.77) compared to employed individuals. Participants with good sleep quality had significantly better functioning in all 5 domains of the ASCQ-Me. In conclusion, persons with SCD who are overweight or obese are at increased risk of poor sleep which can negatively affect quality of life. Patient populations and healthcare providers will need to manage the emerging burden of overweight/obesity.

Evaluation of a daily facial massage on perceived sleep quality and well-being: A pilot study.

OBJECTIVE: Sleep disorders are widespread and constitute a major public health risk. The present study thus aims to investigate the effect of a facial cosmetic self-massage daily routine on women's sleep and well-being. METHODS: The present pilot study was conducted on 62 middle-aged women declaring daily tiredness and sleep troubles. We examined the effect of a regular facial cosmetic self-massage routine on sleep patterns, daytime sleepiness, and well-being over the course of 2 months. RESULTS: After 1 and 2 months, our results show improved sleep quality (Pittsburgh Sleep Quality Index, PSQI - -20.2% after 2 months), reduced daytime sleepiness (Epworth Sleepiness Scale, ESS, -31.2% after 2 months), and increased well-being measures. The number of participants with abnormal sleep (PSQI >5) decreased over the course of the experiment as well, from 71.9% to 49.2% at the end of the 2 months [odds ratio 95% CI for decrease: 0.38 (0.18-0.81)]. Similarly, the number of participants with excessive daytime sleepiness (>10 on the ESS) decreased over the course of the study from 44.3% to 21% after 1 month [95% CI: 0.33 (0.15-0.73)] and to 16.1% after 2 months [95% CI: 0.24 (0.10-0.56)]. CONCLUSIONS: These results suggest that a facial cosmetic self-massage routine may improve sleep patterns and is likely to be a useful addition to a standard sleep hygiene routine.

OBJECTIF: Les troubles du sommeil sont répandus et constituent un risque majeur pour la santé publique. La présente étude vise donc à examiner l'effet d'une routine quotidienne d'auto­massage cosmétique du visage sur le sommeil et le bien­être des femmes. MÉTHODES: La présente étude pilote a été menée auprès de 62 femmes d'âge moyen déclarant une fatigue quotidienne et des troubles du sommeil. Nous avons examiné l'effet d'une routine régulière d'auto­massage cosmétique du visage sur les habitudes de sommeil, la somnolence diurne et le bien­être sur une période de deux mois. RÉSULTATS: Après un et deux mois, nos résultats montrent une amélioration de la qualité du sommeil (échelle de qualité du sommeil de Pittsburgh [Pittsburgh Sleep Quality Index, PSQI]: −20.2% après deux mois), une diminution de la somnolence diurne (échelle de somnolence d'Epworth [Epworth Sleepiness Scale, ESS]: −31.2% après deux mois) et une augmentation des valeurs dans les mesures du bien­être. Le nombre de participantes présentant un sommeil anormal (PSQI > 5) a également diminué au cours de l'expérience, passant de 71.9% à 49.2% à la fin des deux mois [rapport de cotes avec IC à 95% pour la diminution: 0.38 (0.18­0.81)]. De même, le nombre de participantes présentant une somnolence diurne excessive (>10 sur l'échelle ESS) a diminué au cours de l'étude passant de 44.3% à 21% après un mois [IC à 95%: 0.33 (0.15­0.73)] et à 16.1% après 2 mois [IC à 95%: 0.24 (0.10­0.56)]. CONCLUSIONS: Ces résultats indiquent qu'incorporer une routine d'auto­massage cosmétique du visage peut favoriser de meilleures habitudes de sommeil, et qu'elle pourrait être bénéfique en complément d'une routine d'hygiène du sommeil habituelle.

Assessment of sleep quality in severe COVID-19 hospitalised patients.

Objectives: To evaluate the quality of sleep in patients hospitalised with coronavirus disease-2019, and its impact on hospitalisation duration, need for intensive care unit admission and mortality. METHODS: The cross-sectional study was conducted at the Pakistan Institute of Medical Sciences, Islamabad, Pakistan, from May 2, 2021 to April 30, 2022, and comprised hospitalised coronavirus disease-2019 patients. Data was gathered using the Pittsburgh Sleep Quality Index questionnaire, including demographics, comorbidities, length of hospital stay, need for intensive care unit admission, C-reactive protein and D-dimer values at admission, and the outcome. The patients were divided into group A having good sleep quality score >5 and group B having poor sleep quality score <5. Data was analysed using SPSS 25. RESULTS: Of the 1,250 patients, 559(44.7%) were males and 691(55.3%) were females. There were 560(44.8%) patients in group A with mean age 53.80±14.85 years, and 690(55.2%) patients in group B with mean age 53.71±14.32 years. There were no significant intergroup differences in terms of age and high-resolution computed tomography scan (p>0.05). The difference was significant with respect to gender, comorbid conditions, education status as well C-reactive protein and D-dimer levels (p<0.001). Group B patients had a longer duration of hospitalisation (p<0.001) and a higher need for intensive care unit admission (p<0.001) compared to group A. The outcome was death in 166(13.28%) patients in group B compared to 40(3.2%) in group A (p<0.001). CONCLUSIONS: Poor sleep quality was found to be associated with longer hospital stay, increased need for mechanical ventilation, and higher mortality rate in coronavirus disease-2019 patients.

Sleep dysfunction mediates the relationship between hypothalamic-insula connectivity and anxiety-depression symptom severity bidirectionally in young adults.

BACKGROUND: The hypothalamus plays a crucial role in regulating sleep-wake cycle and motivated behavior. Sleep disturbance is associated with impairment in cognitive and affective functions. However, how hypothalamic dysfunction may contribute to inter-related sleep, cognitive, and emotional deficits remain unclear. METHODS: We curated the Human Connectome Project dataset and investigated how hypothalamic resting state functional connectivities (rsFC) were associated with sleep dysfunction, as evaluated by the Pittsburgh Sleep Quality Index (PSQI), cognitive performance, and subjective mood states in 687 young adults (342 women). Imaging data were processed with published routines and evaluated with a corrected threshold. We examined the inter-relationship amongst hypothalamic rsFC, PSQI score, and clinical measures with mediation analyses. RESULTS: In whole-brain regressions with age and drinking severity as covariates, men showed higher hypothalamic rsFC with the right insula in correlation with PSQI score. No clusters were identified in women at the same threshold. Both hypothalamic-insula rsFC and PSQI score were significantly correlated with anxiety and depression scores in men. Further, mediation analyses showed that PSQI score mediated the relationship between hypothalamic-insula rsFC and anxiety/depression symptom severity bidirectionally in men. CONCLUSIONS: Sleep dysfunction is associated with negative emotions and hypothalamic rsFC with the right insula, a core structure of the interoceptive circuits. Notably, anxiety-depression symptom severity and altered hypothalamic-insula rsFC are related bidirectionally by poor sleep quality. These findings are specific to men, suggesting potential sex differences in the neural circuits regulating sleep and emotional states that need to be further investigated.

Sleep Deficits Inter-Link Lower Basal Forebrain-Posterior Cingulate Connectivity and Perceived Stress and Anxiety Bidirectionally in Young Men.

BACKGROUND: The basal nucleus of Meynert (BNM), a primary source of cholinergic projections to the cortex, plays key roles in regulating the sleep-wake cycle and attention. Sleep deficit is associated with impairment in cognitive and emotional functions. However, whether or how cholinergic circuit, sleep, and cognitive/emotional dysfunction are inter-related remains unclear. METHODS: We curated the Human Connectome Project data and explored BNM resting state functional connectivities (rsFC) in relation to sleep deficit, based on the Pittsburgh Sleep Quality Index (PSQI), cognitive performance, and subjective reports of emotional states in 687 young adults (342 women). Imaging data were processed with published routines and evaluated at a corrected threshold. We assessed the correlation between BNM rsFC, PSQI, and clinical measurements with Pearson regressions and their inter-relationships with mediation analyses. RESULTS: In whole-brain regressions with age and alcohol use severity as covariates, men showed lower BNM rsFC with the posterior cingulate cortex (PCC) in correlation with PSQI score. No clusters were identified in women at the same threshold. Both BNM-PCC rsFC and PSQI score were significantly correlated with anxiety, perceived stress, and neuroticism scores in men. Moreover, mediation analyses showed that PSQI score mediated the relationship between BNM-PCC rsFC and these measures of negative emotions bidirectionally in men. CONCLUSIONS: Sleep deficit is associated with negative emotions and lower BNM rsFC with the PCC. Negative emotional states and BNM-PCC rsFC are bidirectionally related through poor sleep quality. These findings are specific to men, suggesting potential sex differences in the neural circuits regulating sleep and emotional states.

Acute and long-term sleep measurements produce opposing results on sleep quality in 8 and 12 hour shift patterns in law enforcement officers.

The occupational demands of law enforcement increase the risk of poor-quality sleep, putting officers at risk of adverse physical and mental health. This cross-sectional study aimed to characterise sleep quality in day workers, 8 and 12 h rotating shift pattern workers. One hundred eighty-six officers volunteered for the study (37 female, age: 41 ± 7). Sleep quality was assessed using the Pittsburgh sleep quality index, actigraphy and the Leeds sleep evaluation questionnaire. The maximal aerobic capacity (VO2max ) was measured on a treadmill via breath-by-breath analysis. There was a 70% overall prevalence of poor sleepers based on Pittsburgh sleep quality index scores, where 8 h shifts exhibited the worst prevalence (92%, p = 0.029), however, there was no difference between age, gender, or role. In contrast, 12 h shifts exhibited the poorest short-term measures, including awakening from sleep (p = 0.039) and behaviour following wakefulness (p = 0.033) from subjective measures, and poorer total sleep time (p = 0.024) and sleep efficiency (p = 0.024) from the actigraphy. High VO2max predicted poorer wake after sleep onset (Rsq = 0.07, p = 0.05) and poorer sleep latency (p = 0.028). There was no relationship between the Pittsburgh sleep quality index scores and any of the short-term measures. The prevalence of poor sleepers in this cohort was substantially higher than in the general population, regardless of shift pattern. The results obtained from the long- and short-term measures of sleep quality yielded opposing results, where long-term perceptions favoured the 12 h pattern, but short-term subjective and objective measures both favoured the 8 h pattern.

Memory performance mediates subjective sleep quality associations with cerebrospinal fluid Alzheimer's disease biomarker levels and hippocampal volume among individuals with mild cognitive symptoms.

Sleep disturbances are prevalent in Alzheimer's disease (AD), affecting individuals during its early stages. We investigated associations between subjective sleep measures and cerebrospinal fluid (CSF) biomarkers of AD in adults with mild cognitive symptoms from the European Prevention of Alzheimer's Dementia Longitudinal Cohort Study, considering the influence of memory performance. A total of 442 participants aged >50 years with a Clinical Dementia Rating (CDR) score of 0.5 completed the Pittsburgh Sleep Quality Index questionnaire and underwent neuropsychological assessment, magnetic resonance imaging acquisition, and CSF sampling. We analysed the relationship of sleep quality with CSF AD biomarkers and cognitive performance in separated multivariate linear regression models, adjusting for covariates. Poorer cross-sectional sleep quality was associated with lower CSF levels of phosphorylated tau and total tau alongside better immediate and delayed memory performance. After adjustment for delayed memory scores, associations between CSF biomarkers and sleep quality became non-significant, and further analysis revealed that memory performance mediated this relationship. In post hoc analyses, poorer subjective sleep quality was associated with lesser hippocampal atrophy, with memory performance also mediating this association. In conclusion, worse subjective sleep quality is associated with less altered AD biomarkers in adults with mild cognitive symptoms (CDR score 0.5). These results could be explained by a systematic recall bias affecting subjective sleep assessment in individuals with incipient memory impairment. Caution should therefore be exercised when interpreting subjective sleep quality measures in memory-impaired populations, emphasising the importance of complementing subjective measures with objective assessments.

The role of symptoms severity, heart rate, and central sensitization for predicting sleep quality in patients with fibromyalgia.

BACKGROUND: Clinical predictors of sleep quality in patients with fibromyalgia syndrome (FMS) are still unknown. By identifying these factors, we could raise new mechanistic hypotheses and guide management approaches. We aimed to describe the sleep quality of FMS patients and to explore the clinical and quantitative sensory testing (QST) predictors of poor sleep quality and its subcomponents. METHODS: This study is a cross-sectional analysis of an ongoing clinical trial. We performed linear regression models between sleep quality (Pittsburgh Sleep Quality Index [PSQI]) and demographic, clinical, and QST variables, controlling for age and gender. Predictors for the total PSQI score and its seven subcomponents were found using a sequential modeling approach. RESULTS: We included 65 patients. The PSQI score was 12.78 ± 4.39, with 95.39% classified as poor sleepers. Sleep disturbance, use of sleep medications, and subjective sleep quality were the worst subdomains. We found poor PSQI scores were highly associated with symptom severity (FIQR score and PROMIS fatigue), pain severity, and higher depression levels, explaining up to 31% of the variance. Fatigue and depression scores also predicted the subjective sleep quality and daytime dysfunction subcomponents. Heart rate changes (surrogate of physical conditioning) predicted the sleep disturbance subcomponent. QST variables were not associated with sleep quality or its subcomponents. CONCLUSIONS: Symptom severity, fatigue, pain, and depression (but no central sensitization) are the main predictors of poor sleep quality. Heart rate changes independently predicted the sleep disturbance subdomain (the most affected one in our sample), suggesting an essential role of physical conditioning in modulating sleep quality in FMS patients. This underscores the need for multidimensional treatments targeting depression and physical activity to improve the sleep quality of FMS patients.

Associations between metabolic disorders and sleep disturbance in patients with schizophrenia.

BACKGROUND: Sleep disturbance plays a crucial role in mental illness and metabolic dysregulation. However, the clinical correlates of metabolic disorders (MD, only meeting 1 or 2 metabolic syndrome standards) and its relationship to sleep disturbance in patients with schizophrenia are uncertain. The study was to illuminate the association between MD and sleep disturbance in patients with schizophrenia. METHODS: One hundred and sixty-four patients with schizophrenia (157 drug-naive and 7 drug-free) were classified into 2 groups: MD and non-MD. The Pittsburgh Sleep Quality Index (PSQI) and the Positive and Negative Symptom Scale (PANSS) were employed to assess sleep quality and clinical symptoms. Weight, height, waistline, blood pressure, fasting glucose, and lipid metabolic levels were recorded. RESULTS: Sleep disturbance was more pronounced in the MD group compared to the non-MD group, including subjective sleep quality (z = -4.074, p = 0.000), sleep latency (z = -3.867, p = 0.000), sleep duration (z = -2.471, p = 0.013) and total scores (z = -3.074, p = 0.002). After controlling for confounding factors including age, sex, body mass index, smoking, marital status, and duration of illness, binary logistics regression showed that subjective sleep quality (p = 0.034) and sleep latency (p = 0.034) were significant independent predictors of MD. Further, partial correlation analysis showed that sleep latency (r = -0.200, p = 0.011) was significantly negatively correlated with HDLC. CONCLUSION: Our study suggests a high rate of MD in patients with schizophrenia, most of who were drug-naive, in a Chinese population. Longer sleep latency is associated with MD in schizophrenia patients, suggesting an important role of sleep disturbance in the development of MD in patients with schizophrenia. Interventions to improve sleep quality may prevent MD in patients with schizophrenia at an early stage.

Evaluation of the Quality of Life and the Quality of Sleep of postmenopausal osteoporotic women, without evidence of an osteoporotic fracture, who attended an outpatient DXA scan service.

OBJECTIVES: The present study aimed to investigate whether impairment of health-related quality of life (HRQOL) and possibly, the quality of sleep (Sleep Quality - SQ), of osteoporotic women, may occur, even before the onset of an osteoporotic fracture. METHODS: The study included 109 women, divided (DXA) into two groups (age-matched): the Control Group (n=68; normal and osteopenic) and the Patient Group (n=41; osteoporotic). Review of medical history of the participants, was followed by evaluation of HRQOL and SQ with the EQ-5D-3L and the PSQI questionnaires, respectively. RESULTS: There was no significant difference between the two groups (Control vs. Patient) in terms of average HRQOL and SQ, as measured by the EQ-5D-3L Questionnaire (0.73 vs. 0.70, p>0.05) and the PSQI Index value (5.56 vs. 6.29, p>0.05), respectively. A high percentage of patients was estimated as having a poor SQ (52.9% of the Control Group and 46.3% of the Patient Group, p>0.05). Increasing age, with or without the presence of osteoporosis, seemed to lead to worst QoL (OR<1.00, p<0.05). CONCLUSIONS: Our study documented homogeneity in HRQOL and SQ, between the two study groups. The strongest predictor for the HRQOL was age (for each year of age increase, the probability of excellent HRQOL significantly decreased).

Association of obstructive sleep apnea and sleep quality with cognitive function: a study of middle-aged and elderly persons in India.

INTRODUCTION: Symptoms of obstructive sleep apnea (OSA) and poor sleep quality affect around one in ten people in India. We aimed to determine if OSA symptoms and poor sleep quality are independently associated with cognition in middle-aged and elderly urban Indian populations. METHODS: We studied the cross-sectional association between OSA symptoms (by Berlin Questionnaire), poor sleep quality (by Pittsburgh Sleep Quality Index), and cognitive function in adults ≥ 50 years. Using a standard neuropsychological battery for cognitive function, a G-factor was derived as the first rotated principal component assessing domains of information processing, memory, and executive function. The associations of exposures with cognitive measures were modeled using linear regression, adjusted for metabolic risk factors, lifestyle factors, and psychosocial problems, followed by stratified analysis by decadal age group. RESULTS: A total of 7505 adults were enrolled. Excluding those with MMSE < 26 (n 710), of 6795 individuals (49.2% women), mean (SD) age 64.2 (9.0) years, 38.3% had high risk of OSA symptoms, and 15.9% had poor sleep quality. OSA symptoms were negatively associated with cognitive domains of information processing (adjusted beta coefficient of z-score - 0.02, p-value 0.006), memory (- 0.03, 0.014), and G-factor (- 0.11, 0.014) in full-model. Stratified analysis by age group showed significant adverse effects of OSA symptoms on cognition for middle-aged people (50-60 years) (- 0.26, 0.001), but not in later age groups. Poor sleep quality was also associated with lower cognitive scores for G-factor (- 0.48, < 0.001), memory (- 0.08, 0.005), and executive domains (- 0.12, < 0.001), but not with information domain. CONCLUSION: The findings suggest that both symptoms of OSA and poor sleep quality have a direct adverse impact on cognition in an Indian setting. A modest effect of age on the relationship of OSA and cognition was also observed.

Metabolic risk factors and psychosocial problems independently explain poor sleep quality and obstructive sleep apnea symptoms among adults in urban India.

STUDY OBJECTIVES: To determine if metabolic risk factors are associated with poor sleep quality and obstructive sleep apnea-like symptoms (OSA symptoms) independent of psychosocial problems and demographic and lifestyle factors in older Indian adults. METHODOLOGY: We analyzed baseline data from adults (≥ 50 years) from a population-based cohort, the LoCARPoN study, in India. Variables were grouped as (a) demographic and lifestyle factors such as smoking, alcohol use, and physical activity; (b) psychosocial problems including symptoms of depression, anxiety, and perceived stress; and (c) metabolic risk factors including glycated hemoglobin, high-density lipoprotein, low-density lipoprotein, total cholesterol, body mass index, and hypertension. Variables were examined as predictors of poor sleep quality and OSA symptoms. Groups of variables were added stepwise to a logistic regression. Variance explained by nested models was quantified using McFadden's pseudo R2, and change was formally tested with the log-likelihood ratio test. RESULTS: Among 7505 adults, the prevalence of poor sleep quality was 16.9% (95% CI: 16.0, 17.7), and OSA symptoms were present in 7.0% (95% CI: 6.4, 7.6). Psychosocial problems had a strong independent association with both poor sleep quality (pseudo R2 increased from 0.10 to 0.15, p < 0.001) and more OSA symptoms (pseudo R2 increased from 0.08 to 0.10, p < 0.001). Metabolic risk factors had a modest independent association with sleep quality (pseudo R2 increased from 0.14 to 0.15, p < 0.01), but a strong association with OSA symptoms (pseudo R2 increased from 0.08 to 0.10, p < 0.001). CONCLUSION: Psychosocial and metabolic risk factors were independently associated with sleep quality and OSA symptoms. This fact implied that OSA symptoms may affect both mental health and physical health. Our findings have public health implications because the number and proportion of the elderly in India is increasing, while the prevalence of metabolic risk factors and psychosocial problems is high already. These facts have the potential to exacerbate not only the burden of sleep disorders and OSA symptoms but also associated cardiovascular and neurologic sequelae, further stretching the Indian health-care system.