Pittsburg Sleep Quality Index Research Articles

Sleep quality mediates the effect of medical social support on depression symptoms in patients with HIV/AIDS

ObjectivesThe purpose of our study is to further understanding of the depression symptoms of HIV/AIDS patients in Guilin, Guangxi via exploring whether there is a mediating effect of sleep quality on medical-social support and depression symptoms and therefore provide a theoretical basis for application of medical-social support to alleviate depression symptoms of HIV/AIDS patients.MethodsA convenience sampling method was used to select 200 HIV/AIDS patients for the study. Depression symptoms, sleep quality, and medical-social support of the study participants were investigated using The Center for Epidemiological Studies Depression Scale (CES-D), The Pittsburg Sleep Quality Index (PSQI), and The Medical Outcomes Study Social Support Survey (MOS-SSS), respectively. Predictors of depression symptoms were explored by multiple linear regression, and Pearson correlation was used to analyze the relationship between sleep quality, medical-social support, and depression symptoms. Mediating effect analysis was performed by nonparametric Bootstrap test.ResultsIn this study, the incidence of depression symptoms was 54.4%. Multiple linear regression analysis showed that leanness (β = 0.161, P = 0.008), obesity (β = 0.186, P = 0.002), sleep quality score > 7 (β = 0.331, P < 0.001), and medical-social support score > 56 (β = -0.247, P < 0.001) could influence depression symptoms of HIV and Pearson’s correlation analysis demonstrated that there was a two-way correlation between sleep quality, medical social support and depression symptoms (P < 0.05). In addition, Bootstrap tests showed that medical-social support might affect depression symptoms not only directly but also indirectly through the mediating effect of sleep quality with the direct and mediating effects accounting for 77.25% and 22.75% of the total effect, respectively.ConclusionThe prevalence of depression symptoms is high among HIV/AIDS patients in Guilin City. The depressive symptoms of PLWHs(people living with HIV) are related to their sleep quality and medical-social support, and sleep quality partially mediates the relationship between medical-social support and depression symptoms. Therefore, interventions to improve sleep quality and medical-social support have the potential to allay the depression symptoms of HIV/AIDS patients.

Effect of holographic Guasha on sleep quality of older adults with hypertension in the community: A prospective study.

To explore the effect of holographic Guasha therapy on the Pittsburg Sleep Quality Index (PSQI) and Hamilton Anxiety Rating Scale (HAMA) in older adults with hypertension living in the community. This prospective study was conducted from July 2019 to December 2020. Older adults with hypertension (systolic pressure ≥ 140 mm Hg, diastolic pressure ≥ 90 mm Hg) were divided into the control and Guasha groups. The PSQI and HAMA were assessed before and after 4 weeks of intervention. 62 patients were enrolled, with 31/group (Guasha: 72.4 ± 6.9 years, 23.0 ± 3.1 kg/m2; control: 71.4 ± 6.3 years; 22.9 ± 2.9 kg/m2). The total PSQI score did not decrease in the control group after 4 weeks (from 14.8 ± 1.2 to 14.8 ± 1.8, P = .498) but decreased in the Guasha group (from 14.9 ± 1.1 to 6.8 ± 3.5, P < .001). All PSQI subscores decreased in the Guasha group after 4 weeks of Guasha intervention (all P < .05), except for the use of sleep medication, since the use of such drugs was an exclusion criterion. The HAMA index scores did not change in the control or Guasha group (both P > .05). Holographic Guasha appears to achieve better sleep outcomes than conventional treatment in improving the sleep quality of older adults with hypertension living in the community. The participants were not randomly assigned to the treatments, and the results should be confirmed in a formal trial.

Sleep Quality in Greek Adolescent Swimmers.

The aim of our study was to investigate the relationship between sleep quality and functional indices, swimming distance and gender in adolescent competitive swimmers. Forty-eight adolescent swimmers (boys, n = 22, 15.7 ± 1.0 years and girls, n = 26, 15.1 ± 0.8 years) were included in our study. They were assessed for handgrip strength, respiratory muscle strength and pulmonary function, answered a Pittsburg Sleep Quality Index questionnaire (PSQI), and recorded their anthropometric and morphological characteristics and training load for the last four weeks. The results showed differences between swimming distance and chest circumference difference, between maximal inhalation and exhalation (Δchest) (p = 0.033), PSQI score (p < 0.001), and sleep quality domains for "cannot breathe comfortably" (p = 0.037) and "have pain" (p = 0.003). Binary logistic regression (chi-square = 37.457, p = 0.001) showed that the variables Δchest (p = 0.038, 95% CI: 1.05-6.07) and PSQI score (p = 0.048, 95% CI: 0.1-1.07) remained independent predictors of the swim distance groups. Girls had a lower percentage of predicted values for the maximal inspiratory pressure (p < 0.001), maximal expiratory pressure (p = 0.027), forced expiratory volume within the first second (p = 0.026), forced vital capacity (p = 0.008) and sleep quality domains for "cough or snore loudly" (p = 0.032) compared to boys. A regression analysis showed that the sleep quality score was explained by the six independent variables: respiratory muscle strength (t = 2.177, β = 0.164, p = 0.035), Δchest (t = -2.353, β = -0.17, p = 0.023), distance (t = -5.962, β = -0.475, p < 0.001), total body water (t = -7.466, β = -0.687, p < 0.001), lean body mass (t = -3.120, β = -0.434, p = 0.003), and handgrip (t = 7.752, β = 1.136, p < 0.001). Our findings demonstrate that sleep quality in adolescent swimmers is a multifactorial result of morphometric characteristics, strength and respiratory function.

Sleep Quality and Interoception Are Associated with Generalized Anxiety in Baccalaureate Nursing Students: A Cross-Sectional Study.

Baccalaureate nursing students are at increased risk for anxiety and related mood disorders. We conducted a cross-sectional study to explore the relationships among anxiety symptoms measured by the Generalized Anxiety Disorder (GAD-7) questionnaire and lifestyle behaviors including habitual diet, sleep quality (Pittsburg Sleep Quality Index [PSQI]), and physical activity. Descriptive statistics were obtained for sample characteristics, and Pearson correlations and backward stepwise linear regression explored relationships between the GAD-7 scores, the Multidimensional Assessment of Interoceptive Awareness, version 2 (MAIA-2) subscales, and other variables. Sixty-eight students completed the survey, with 38% having moderate-to-severe anxiety. On average, respondents had moderate diet quality (Healthy Eating Index median 60/100 [range 51-75]), had high sleep quality (PSQI median 7/21 [range 4-10]), and were highly active, with a median of 43 (range 24-78) weekly metabolic equivalent (MET) hours. Sixty-seven out of 68 respondents indicated a willingness to change lifestyle behaviors; the most prevalent time-related factors were school and social commitments, with stress and financial constraints being reported among half or more of respondents. Regression analysis determined that PSQI (β = 0.446) and the MAIA-2 Not-Worrying subscale (β = -0.366) were significant (p < 0.001 for both) predictors of anxiety severity. These results indicate that mindfulness and sleep hygiene may be the most actionable foci for interventions to reduce anxiety in baccalaureate nursing students. This study was not registered as a clinical trial.

Association between the Dietary Inflammatory Index and Sleep Quality among Lebanese University Students

Abstract Objective The association between sleep quality and overall health has been extensively examined. However, few studies have investigated the relationship between sleep and the inflammatory potential of the diet. Thus, the purpose of the present study was to explore the association between the scores on the Energy-Adjusted Dietary Inflammatory Index (E-DII) and sleep quality in Lebanese university students. Materials and Methods We conducted a cross-sectional study with students attending the Tripoli campus of Beirut Arab University. A total of 270 students aged between 17 and 25 years were randomly selected. All students filled out a multicomponent questionnaire that included an assessment of their sleep quality using the Pittsburg Sleep Quality Index, and of their physical activity level using the short version of the International Physical Activity Questionnaire. The scores on the E-DII were calculated based on a validated food frequency questionnaire. Results Individuals in the highest (most proinflammatory) quartile of the E-DII were at an increased risk of having poor overall sleep quality compared with the lowest quartile (odds ratio [OR] = 2.86; 95% confidence interval [95%CI]: 1.27–6.44). Regarding the individual domains of sleep quality, subjects in quartiles 3 and 4 of the E-DII were at an increased risk of having poor sleep efficiency compared with those in quartile 1 (OR = 2.49; 95%CI: 1.12–5.54; and OR = 2.52, 95%CI: 1.13–5.62 respectively). However, individuals in quartile 3 were at a reduced risk of having daytime dysfunction compared with those in the lowest quartile (OR = 0.44; 95%CI: 0.23–0.83). Conclusion The inflammatory potential of the diet seems to be related to sleep quality in our sample of Lebanese university students. Future prospective studies are required to further explore this association.

Prevalence of high impulsivity and its relation to sleep indices in opioid use disorder patients receiving methadone maintenance treatment

BackgroundThe relation between impulsivity and sleep indices is not well determined in patients receiving methadone maintenance treatment (MMT). Aimsto evaluate high impulsivity prevalence, its risk factors and relation with sleep indices.Methods: a random MMT sample (n = 61) plus MMT current cocaine users (n = 20) were assessed for impulsivity (Barratt impulsivity scale [BIS-11] and Balloon Analogue Risk task [BART]), sleep quality (Pittsburg Sleep Quality Index [PSQI]), sleepiness (The Epworth sleepiness scale [ESS]), and substance in urine. Results81 patients, aged 56.6 ± 10, 54.3% tested positive to any substance, 53.1% with poor sleep (PSQI>5) and 43.2% with daytime sleepiness (ESS >7) were studied. Impulsivity (BIS-11 ≥ 72) prevalence was 27.9% (of the representative sample), and 30.9% of all participants. These patients characterized with any substance and shorter duration in MMT with no sleep indices or other differences including BART balloon task performance (that was higher only in any substance than non-substance user group). However, impulsive score linearly correlated with daytime sleepiness (R = 0.2, p = 0.05). Impulsivity proportion was lowest among those with no cocaine followed by cocaine use and the highest in those who used cocaine and opiates (20.8%, 33.3% and 60% respectively, p = 0.02), as daily sleep (38.3%, 42.1% and 60%, p = 0.3) although not statistically significant. ConclusionDaytime sleepiness correlated with impulsivity, but cocaine usage is the robust factor. Further follow-up is warranted to determine whether substance discontinuing will lead to a reduction in impulsivity, and improved vigilance. Sleep quality did not relate to daytime sleepiness and impulsivity and need further research.

Abstract PS02-04: Associations of sleep health with quality of life among women with newly diagnosed breast cancer: baseline results from the AMBER cohort study

Abstract Background High incidence, ageing, and advancements in early detection and clinical treatment have led to a growing breast cancer survivor population, particularly in developed countries. Sleep problems are common and persist in this population, affecting over 50% of breast cancer survivors. Good sleep health is characterized by sleep duration, sleep timing and sleep quality, and these three dimensions do not necessarily correlate with each other. This analysis aimed to investigate the associations of sleep health, characterized by sleep duration, sleep timing, and a range of metrics for sleep quality (latency, efficient, disturbance, medication, daytime dysfunction) with physical and mental well-being in women with newly diagnosed breast cancer. Methods Newly diagnosed breast cancer patients, with early-stage disease were recruited between 2012-2019 in Edmonton and Calgary, Canada, and completed the Pittsburg Sleep Quality Index (PSQI) to assess the habitual sleep duration and timing, as well as sleep latency, efficiency, disturbance, medication and daytime dysfunction. To measure quality of life, participants completed the SF-36 version-2 to assess their physical and mental well-being. Multivariable linear regressions were used to estimate the association of sleep characteristics with physical and mental well-being, adjusting for socio-demographic, disease, clinical and lifestyle behaviour factors. Results Among 1409 breast cancer survivors, 41% reported short or long sleep duration ( &amp;lt; 6 or ≥9 h/d), 41% reported habitual bedtimes after 11pm, 56% reported sleep efficiency being &amp;lt; 85%, 80% reported fairly good (vs. very good) sleep disturbance, 35% reported taking sleep medication in the past month, and 71% reported fairly good, fairly bad or very bad (vs. very good) daytime function. In the multivariable model, short sleep (≤6/d) was associated with worse mental well-being (-3.6, 95%CI: -4.7,-2.4) but not physical well-being (-1.5, 95%CI: -2.3,-0.7). No clinically meaningful differences in quality of life were found for sleep timing. Metrics characterizing suboptimal sleep quality were associated with poorer physical and mental well-being, with stronger associations observed for mental health well-being. Notably, only 20% and 29% women were classified as “very good” in sleep disturbance and daytime dysfunction measures, respectively. Nevertheless, even “fairly good” sleep disturbance and daytime dysfunction were associated with statistically and clinically meaningful significant poorer physical (-3, 95%CI: -3.8,-2.2) and mental (-8, 95%CI: -9,-7) well-being. Conclusion Sleep timing does not appear to affect the quality of life in a clinically meaningful manner in women newly diagnosed with breast cancer. In contrast, short sleep duration and worse sleep quality were strongly associated with poorer mental well-being in these women. Targeted interventions to improve sleep may lead to improvements in the quality of life among women with newly diagnosed breast cancer. Table 1. Association of Sleep Characteristics with SF-36 Measured Quality of Life, Physical Well-Being. Table 2. Association of Sleep Characteristics with SF-36 Measured Quality of Life, Mental Well-Being. Citation Format: Lin Yang, Qinggang Wang, Jessica McNeil, Charles Matthews, Leanne Dickau, Jeff Vallance, Margaret McNeely, S. Nicole Culos-Reed, Karen Kopciuk, Kerry Courneya, Christine Friedenreich. Associations of sleep health with quality of life among women with newly diagnosed breast cancer: baseline results from the AMBER cohort study [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS02-04.

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

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

The Relationship between Sleep Quality and Smartphone Addiction among Adolescents

Introduction: Technological developments have increased the usage of mobile equipment. Using a smartphone became a part of life and accentuated its usage day after day especially in adolescent groups. Aim: The study was aimed to examine the relationship between sleep quality and smartphone addiction of adolescents. Method: This cross-sectional study was carried out with 1192 high school students between March and June 2019. Data were collected with the Personal Information Form, “Pittsburg Sleep Quality Index”, “Smartphone Addiction Scale”. The data were evaluated through percentile distributions, means, independent samples t-test, Kruskal-Wallis test, ANOVA, and Pearson correlation analyses. Results: The mean age of adolescents was determined to be 15.79 ± 0.96, with the mean total score of the Pittsburg Sleep Quality Index was 6.05 ± 3.04 and the Smartphone Addiction Scale was 36.01 ± 10.82. Statistically significant differences were observed among adolescents concerning gender, grade, daily smartphone usage duration, internet accessibility, and the use of smartphones before bedtime, impacting both sleep quality and smartphone addiction (p &lt; 0.05). A positive and meaningful correlation was found between sleep quality and smartphone addiction in adolescents (p &lt; 0.05). Conclusion: As the smartphone addiction increases, sleep quality decreases. Adequate sleep is crucial during the growth spurt period. It is evaluated that early diagnosis and prevention of smartphone addiction in adolescents could make a significant contribution to the protection and promotion of adolescent health.

Evaluation of the Effect of Neurofeedback on Polysomnographic Changes and Improvement in the Life Quality of People with HIV with Sleep Disorders: A Clinical Trial Study

Introduction Sleep disorders are considered as one of the most common illnesses among people with HIV. Due to this, using neurofeedback devices to alter brain waves is implemented as a complementary therapy. The aim of this study was to evaluate the effectiveness of neurofeedback on changes in interrupted sleep, duration of sleep, restless legs syndrome, and improve the quality of life in people with HIV with sleep difficulties. Methods The current study is a clinical trial and applied type of research in which the pre-test and post-test of two interventional and placebo groups were compared. The statistical population of all patients referred to the HIV Research Center of Imam Khomeini Hospital Complex was selected randomly. In this respect, 15 volunteer patients (9 volunteers in the treatment group and 6 volunteers in the placebo group) were chosen and placed into groups via random sampling. In addition, the Pittsburg Sleep Quality Index (PSQI) was used for the evaluation of sleep quality. Data were analyzed after statistical analysis through standard tests. Results The results of this study showed that neurofeedback was able to cause significant changes in reducing stress levels. This treatment was able to improve the quality of life indicators in participants. Also, there were changes in polysomnographic data; however, they were not significant. Conclusion Based on these data, Neurofeedback therapy could be considered a complementary therapy to improve sleep disorders in people with HIV.Moreover, this treatment was able to improve the quality of life and stress indicators in these patients by improving brain waves. Clinical Trial Registration No IR.TUMS.VCR.REC.1398.998.

Evaluation of isotretinoin effects on depression, sleep apnea and sleep quality

Background Isotretinoin is used to treat severe acne, treatment-resistant moderate acne, and acne that leads to scarring or psychological distress. It has many side effects and is also associated with depression, sleep apnea, and sleep disturbances. Objectives In this study, we aimed to evaluate the effects of isotretinoin on depression, sleep apnea, and sleep quality. Methods A total of 42 patients diagnosed with acne and started isotretinoin treatment were included in the study. In order to compare the effects of isotretinoin, patients were asked to fill out a questionnaire containing the Beck Depression Inventory (BDI), the Berlin Questionnaire (BQ), and the Pittsburg Sleep Quality Index (PSQI) at baseline and third months of treatment. Results There was no statistically significant difference in BDI, BQ, and PSQI scores between the 1st and 3rd months of treatment (p = .53, p = .5, p = .35). Conclusion This study showed that isotretinoin had no significant effects on depression and sleep quality.

Role of social support in the relationship between resilience and sleep quality among cancer patients.

The present study aimed to investigate the effect of resilience on sleep quality and explore the role of social support between resilience and sleep quality in cancer patients. A multicenter and cross-sectional study was conducted in China from May to November 2021.A total of 202 cancer patients were recruited to complete the questionnaires composed of demographic information, Pittsburg Sleep Quality Index (PSQI), Resilience Scale-14 (RS-14), and Multidimensions Scale of Perceived Social Support (MSPSS). The associations between resilience, social support, and sleep quality were explored through hierarchical regression analysis. The prevalence of poor sleep quality was 50% among cancer patients. Resilience, social support, and the interaction between resilience and social support were all found to be significantly associated with sleep quality. Results of simple slope analysis indicated that the association between resilience and sleep quality were gradually decreased with the increasing social support levels (1 SD below the mean, B=-0.225, β=-0.551, P<0.001), mean social support (B=-0.147, β=-0.353, P<0.001) and high social support (1 SD above the mean, B=-0.065, β=-0.156, P<0.001). Additionally, social support mediated the effect of resilience on sleep quality among cancer patients. Poor sleep quality has been common in cancer patients. Social support could mediate and alleviate the relationship between resilience and sleep quality among cancer patients. Besides providing sufficient social support, interventions based on resilience should be applied to address sleep problems in cancer patients.

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.

Test-Retest Reliability of a Bilingual Arabic-English Pittsburgh Sleep Quality Index among Adolescents and Young Adults with Good or Poor Sleep Quality

Abstract Introduction The Pittsburg Sleep Quality Index (PSQI) is widely used in different population groups to assess self-reported sleep quality over the previous month. As the Arabic language is spoken by more than 400 million people, the PSQI has been translated into Arabic for its optimal application to Arabic-speaking individuals. However, the test-retest reliability of the Arabic version of the PSQI has not been reported yet. Objective To examine the reliability and agreement of a bilingual Arabic-English version of the PSQI (AE-PSQI) among bilingual Arabic-English-speaking adolescents and young adults of the United Arab Emirates (UAE) with good or poor sleep quality. Materials and Methods We included 50 bilingual Arabic-English-speaking adolescents and young adults (mean age of 20.82 ± 2.7 years; 30/50 subjects classified as poor sleepers [PSQI &gt; 5] at baseline) who filled put the AE-PSQI twice, 7 days apart. The internal consistency of the AE-PSQI was assessed through the Cronbach's alpha. The intraclass correlation coefficient (ICC[3,1]) was used to assess the test-retest reliability. The standard error of measurement (SEM), the smallest real difference (SRD), and the Bland-Altman plots were used to report agreement measures. Results The global score on the AE-PQSI showed an acceptable level of internal consistency with a Cronbach's alpha value of 0.65, and no floor and ceiling effects were observed. The 95% confidence intervals (95%CI: 0.63-0.87) of the ICC(3,1) revealed moderate to strong reliability estimates for overall AE-PSQI scores. The SEM and SRD were of 1.6 and 4.5 respectively, and the Bland-Altman plots revealed a moderate agreement between the baseline and retest global AE-PQSI scores. Conclusion The AE-PSQI is a reliable instrument to assess sleep quality in bilingual Arabic-English-speaking adolescents and young adults with good or poor sleep quality. Further studies on the validity and responsiveness of the AE-PSQI are warranted in individuals with and without sleep disorders.

Psychosocial Risk Factors at Work and Sleep Quality in Healthcare Workers – A Cross-Sectional Study

Abstract Objective To investigate psychosocial factors at work, sleep characteristics, and the correlation between these aspects in healthcare workers. Material and methods A cross-sectional e-survey study was conducted with 125 workers of the Brazilian healthcare system, mostly from the Southeast region, from June 2021 to April 2022. Self-administered questionnaires in Google Forms were used to collect data on personal and occupational characteristics, psychosocial factors (Copenhagen Psychosocial Questionnaire), and sleep quality (Pittsburg Sleep Quality Index). Descriptive statistics and a point biserial correlation test were performed. Results The most reported factors in the risk zone were burnout (86%), stress (81%), emotional demands (75%), work pace (61%), and work-family conflicts (55%). Most participants were classified as poor sleepers (74%), especially nursing technicians/assistants (86%). Burnout (rpb = 0.33) and inadequate predictability (rpb = 0.30) were associated with poor sleep quality. Conclusion Intervention strategies to decrease burnout and increase predictability at work may assist in improving sleep quality among healthcare workers.

Predictive Modeling Using a Composite Index of Sleep and Cognition in the Alzheimer's Continuum: A Decade-Long Historical Cohort Study.

Sleep disturbances frequently affect Alzheimer's disease (AD), with up to 65% patients reporting sleep-related issues that may manifest up to a decade before AD symptoms. To construct a nomogram that synthesizes sleep quality and cognitive performance for predicting cognitive impairment (CI) conversion outcomes. Using scores from three well-established sleep assessment tools, Pittsburg Sleep Quality Index, REM Sleep Behavior Disorder Screening Questionnaire, and Epworth Sleepiness Scale, we created the Sleep Composite Index (SCI), providing a comprehensive snapshot of an individual's sleep status. Initially, a CI conversion prediction model was formed via COX regression, fine-tuned by bidirectional elimination. Subsequently, an optimized prediction model through COX regression, depicted as a nomogram, offering predictions for CI development in 5, 8, and 12 years among cognitively unimpaired (CU) individuals. After excluding CI patients at baseline, our study included 816 participants with complete baseline and follow-up data. The CU group had a mean age of 66.1±6.7 years, with 36.37% males, while the CI group had an average age of 70.3±9.0 years, with 39.20% males. The final model incorporated glial fibrillary acidic protein, Verbal Fluency Test and SCI, and an AUC of 0.8773 (0.792-0.963). In conclusion, the sleep-cognition nomogram we developed could successfully predict the risk of converting to CI in elderly participants and could potentially guide the design of interventions for rehabilitation and/or cognitive enhancement to improve the living quality for healthy older adults, detect at-risk individuals, and even slow down the progression of AD.

IJCM_346A: The Impact of Depression and Its Associated Factors in Sleep Among General Population in Perambalur- A Cross-Sectional Study

Background: Sleep which is directly related to health and quality of life is a basic need for human beings to continue their bio-psycho-social and cultural functions. Sleep deprivation appears to have both global and specific effects on cognition, presumably due to the differential susceptibility of various functionally interdependent brain systems to sleep loss. Sleep deprivation can deteriorate general health and is known to be the reason for the development of several co-morbidities such as diabetes and obesity, and hypertension. Objective: To assess the quality of sleep among the general population in Perambalur and investigate the relationship between depression and sleep quality. Methodology: A Cross-Sectional study was conducted between December 2022 to February 2023 in Perambalur municipality for the General public. A pre-tested semi-structured proforma was used to collect data. The objective was assessed using a questionnaire made up with the help of the Pittsburg Sleep Quality Index (to assess sleep), and Patient Health Questionnaire 9 (to assess depression). Data were collected and analysed after obtaining informed consent. Data analyses were done by using the chi-square test. For the comparison of sleep and depression multivariable logistic regression is used. Results: In this study with 650 participants 41.4% are male and around 73.8% had higher education. Those with minimal depression are 59.2% and those having good sleep are 78.2%. The participants who had organised work had no depression (67.1%) which is statistically significant Conclusion: The conclusion showed that quality of sleep in general population was poor and had their depression levels were elevated. Depression was more prevalent among females. Researchers, government and corporate sectors are encouraged to assess the public well being, working hours, metal status of the people with awareness programs, camps and workshops.

Shared genetic mechanisms underlying association between sleep disturbances and depressive symptoms

ObjectivesPolygenic scores (PGS) for sleep disturbances and depressive symptoms in an epidemiological cohort were contrasted. The overlap between genes assigned to variants that compose the PGS predictions was tested to explore the shared genetic bases of sleep problems and depressive symptoms. MethodsPGS analysis was performed on the São Paulo Epidemiologic Sleep Study (EPISONO, N = 1042), an adult epidemiological sample. A genome wide association study (GWAS) for depression grounded the PGS calculations for Beck Depression Index (BDI), while insomnia GWAS based the PGS for Insomnia Severity Index (ISI) and Pittsburg Sleep Quality Index (PSQI). Pearson's correlation was applied to contrast PGS and clinical scores. Fisher's Exact and Benjamin-Hochberg tests were used to verify the overlaps between PGS-associated genes and the pathways enriched among their intersections. ResultsAll PGS models were significant when individuals were divided as cases or controls according to BDI (R2 = 1.2%, p = 0.00026), PSQI (R2 = 3.3%, p = 0.007) and ISI (R2 = 3.4%, p = 0.021) scales. When clinical scales were used as continuous variables, the PGS models for BDI (R2 = 1.5%, p = 0.0004) and PSQI scores (R2 = 3.3%, p = 0.0057) reached statistical significance. PSQI and BDI scores were correlated, and the same observation was applied to their PGS. Genes assigned to variants that compose the best-fit PGS predictions for sleep quality and depressive symptoms were significantly overlapped. Pathways enriched among the intersect genes are related to synapse function. ConclusionsThe genetic bases of sleep quality and depressive symptoms are correlated; their implicated genes are significantly overlapped and converge on neural pathways. This data suggests that sleep complaints accompanying depressive symptoms are not secondary issues, but part of the core mental illness.

The effect of cuff arthropathy stage on sleep disturbance and kinesiophobia in reverse shoulder arthroplasty patients

BackgroundThe current study aimed to determine the changes in pre-and post-operative Pittsburg sleep quality index (PSQI) and Tampa scale of kinesiophobia (TSK) values ​​according to the Hamada classification in patients who underwent reverse shoulder arthroplasty (RSA) for rotator cuff tear arthropathy (RCTA).MethodsOne hundred and eight patients who underwent RSA for RCTA were reviewed retrospectively. The patients were divided into two groups with low grade (stages 1-2-3) (n = 49) and high grade (stages 4a-4b-5) (n = 59) according to the Hamada classification, which is the radiographic evaluation of RCTA. PSQI and TSK values ​​were calculated preoperatively, and post-operatively at the 6th week, 6th month, and 1st year. The change in PSQI and TSK values ​​between the evaluations and the effect of staging according to the Hamada classification on this change was examined.ResultsWhen compared in preoperative evaluations, PSQI and TSK scores were found to be lower in low-grade group 1 (7.39 ± 1.56, 51.88 ± 4.62, respectively) than in high-grade group 2 (10.47 ± 2.39, 57.05 ± 3.25, respectively) according to Hamada classification (both p < 0.001). In the postoperative evaluations, PSQI and TSK results decreased gradually compared to the preoperative evaluations, and there was a severe decrease in both parameters between the 6th-week and 6th-month evaluations (both p < 0.001). Preoperatively, 102 (95%) patients had sleep disturbance (PSQI ≥ 6), and 108 (100%) patients had high kinesiophobia (TSK > 37). In the 1st year follow-ups, sleep disturbance was observed in 5 (5%) patients and kinesiophobia in 1 (1%) patient. When the Hamada stages were compared, it was seen that there was a significant difference before the operation (both p < 0.001), but the statistically significant difference disappeared in the PSQI value in the 1st year (p = 0.092) and in the TSK value in the 6th month (p = 0.164) post-operatively. It was observed that Hamada staging caused significant differences in PSQI and TSK values ​​in the preoperative period but did not affect the clinical results after treatment.ConclusionsRSA performed based on RCTA improves sleep quality and reduces kinesiophobia. RCTA stage negatively affects PSQI and TSK before the operation but does not show any effect after the treatment.

Cognitive Behavioral Therapy for Insomnia Improves Sleep Outcomes in Individuals With Concussion: A Preliminary Randomized Wait-List Control Study.

Cognitive behavioral therapy for insomnia (CBT-I) is the gold standard treatment for insomnia, but there is limited evidence on the treatment effect of CBT-I in individuals after a concussion. Therefore, the main purpose of this study was to evaluate the treatment effect of CBT-I on sleep outcomes and postconcussion symptoms. This study was conducted at an academic institution. The CBT-I sessions were conducted using a teleconferencing system (Zoom). Participants were eligible to participate if they were at least 4 weeks post- concussion, aged 18 to 64 years, and scored 10 or more on the Insomnia Severity Index. A total of 40 people were enrolled; 32 participants were included in analyses. This was a randomized controlled wait-list study. Participants were randomized into starting the CBT-I intervention immediately after the baseline assessment or into the wait-list group for 6 weeks before starting CBT-I. Assessments were performed at baseline, 6, 12, and 18 weeks. The primary outcome was the Insomnia Severity Index. Secondary measures included the Pittsburg Sleep Quality Index, Post-Concussion Symptom Scale, and Beck Depression and Anxiety Inventories. Statistical analyses included a repeated-measures analysis of variance, t tests, and mixed linear regression modeling. There was a group-by-time interaction for the sleep outcomes but not for the concussion or mood outcomes. Differences were seen between groups on sleep outcomes, symptom severity, and depression. The treatment effect was maintained following CBT-I for all outcomes. Improvement in sleep outcomes was predictive of improvement in postconcussion symptom severity and number of symptoms. CBT-I reduces insomnia in individuals with concussions, and improved sleep was associated with lower postconcussion and mood symptoms. These effects were maintained 6 to 12 weeks following the intervention.