Ansiedade, qualidade do sono e sonolência diurna em estudantes de enfermagem de uma instituição privada / Ansiedad, calidad del sueño y somnolencia diurna en estudiantes de enfermería de un centro privado / Anxiety, sleep quality and daytime sleepiness in nursing students at a privateinstitution

Objetivo:Avaliar a correlação entre a ansiedade com qualidade do sono e sonolência diurna dos estudantes universitários em curso de graduação em enfermagem, assim como caracterizar o perfil sociodemográfico dos estudantes. Metodologia:Estudodescritivo transversalcom abordagem quantitativa envolvendo 255 acadêmicos do curso de Enfermagem de uma instituição privada. A coleta dos dados ocorreu em Outubro de 2022 em salas de aula. Os instrumentos utilizados na coleta dos dados foram o Inventário de Ansiedade de Beck,Índice de Qualidade do Sono de Pittsburgh, Escala de Sonolência de Epwort-th e um questionário sociodemográfico. Utilizou-se o software estatístico R versão 4.0.2 e foram feitas suas correlações. Resultados: Foram encontrados padrões de ansiedade grave, com níveis de sonolência diurna anormal. A correlação entre o Inventário de Ansiedade de Beckcom a Escala de Sonolência de Epworth e o Índice de Qualidade de sono de Pittsburgh, que embora tenha sido considerada fraca a moderada, por sua vez mostrou-se significativa (r=0,29; p=0,01). Ademais, temos que, a relação entre oinventário de Becke o Índice de qualidade de sono de Pittsburgh mostrou-se também com valor de significância (r=0,35; p=0,01). Conclusões:Foi possível compreender que a ansiedade pode interferir na qualidade do sono e sonolência diurna do público de estudantes de Enfermagem (AU).

Objective: To evaluate the correlation between anxiety and sleep quality and daytime sleepiness among undergraduate nursing students, as well as to characterize the students' sociodemographic profile. Methodology: A cross-sectional descriptive study with a quantitative approach involving 255 nursing students from a private institution. Data collection took place in October 2022 in classrooms. The instruments used to collect the data were the Beck Anxiety Inventory, the Pittsburgh Sleep Quality Index, the Epwort-Th Sleepiness Scale and a sociodemographic questionnaire. Statistical software R version 4.0.2 was used and correlations were made. Results:Patterns of severe anxiety were found, with abnormal levels of daytime sleepiness. The correlation between the Beck Anxiety Inventory, the Epworth Sleepiness Scale and the Pittsburgh Sleep Quality Index, although considered weak to moderate, was significant (r=0.29; p=0.01). Furthermore, the relationship between the Beck Inventory and the Pittsburgh Sleep Quality Index was also found to be significant (r=0.35; p=0.01). Conclusions:It was possible to understand that anxiety can interfere with the quality of sleep and daytime sleepiness among nursing students (AU).

Objetivo:Evaluar la correlación entre la ansiedad y la calidad del sueño y la somnolencia diurna en estudiantes universitarios de enfermería, así como caracterizar el perfil sociodemográfico de los estudiantes. Metodología:Estudio descriptivo transversal con enfoque cuantitativo en el que participaron 255 estudiantes universitarios de enfermería de una institución privada. La recogida de datos tuvo lugar en octubre de 2022 en las aulas. Los instrumentos utilizados para la recogida de datos fueron el Inventario de Ansiedad de Beck, el Índice de Calidad del Sueño de Pittsburgh, la Escala de Somnolencia de Epwort-Th y un cuestionario sociodemográfico. Se utilizó el software estadístico R versión 4.0.2 y se realizaron correlaciones. Resultados:Se encontraron patrones de ansiedad severa, con niveles anormales de somnolencia diurna. La correlación entre el Inventario de Ansiedad de Beck con la Escala de Somnolencia de Epworth y el Índice de Calidad del Sueño de Pittsburgh, aunque se consideró de débil a moderada, fue significativa (r=0,29; p=0,01). Además, la relación entre el Inventario de Beck y el Índice de Calidad del Sueño de Pittsburgh también resultó significativa (r=0,35; p=0,01). Conclusiones: Se pudo comprender que la ansiedad puede interferir en la calidad del sueño y en la somnolencia diurna de los estudiantes de enfermería (AU).

Bidirectional associations between sleep problems and suicidal thought/attempt in adolescents: A 3-wave data path analysis.

PURPOSE: This longitudinal data analysis examined the bidirectional relationships between sleep problems and suicidal thought (ST)/attempt (SA) in a large sample of Chinese adolescents. METHODS: A total of 6995 adolescents (mean age = 14.86 years and 51.4% males) participated in a 3-wave longitudinal study of behavior and health in Shandong, China. A self-administered questionnaire and standardized scales were used to assess ST, SA, sleep duration, insomnia, daytime sleepiness, and behavioral/emotional problems in 2015 (T1), 1 year later (T2), and 2 years later (T3). Path analyses were performed without and with adjustment for covariates, including gender, grade level, chronic diseases, cigarette smoking, alcohol use, anxiety/depressive symptoms, paternal education, and family economic status. RESULTS: The prevalence rates of short sleep (<7 h/night), insomnia symptoms, and daytime sleepiness were 46.9-58.8%, 16.0-19.4%, and 25.1-25.3% at T1, T2, and T3, respectively. The rates of past-year ST and SA were 9.1-12.4% and 1.6-2.4% at T1, T2, and T3, respectively. Path analyses showed that short sleep, insomnia, and daytime sleepiness predicted subsequent ST, and vice versa. Daytime sleepiness and SA predicted each other 1 year later. Sleep problems and ST/SA in the previous year significantly predicted themselves in the follow-up year. STUDY LIMITATION: All data were based on self-report. CONCLUSION: Short sleep, insomnia, and daytime sleepiness all had bidirectional relationships with ST. Daytime sleepiness and SA were bidirectionally linked. Our findings suggest that interventions should be taken for both night sleep disturbances and daytime sleepiness to prevent suicide. Adverse sleep outcomes in suicidal adolescents should be assessed, which can in turn increase suicide risk.

Severity and determinants of psychosocial comorbidities in granulomatosis with polyangiitis and their impact on quality of life.

Depression, anxiety, sleep disturbances, and fatigue are inadequately addressed comorbidities in granulomatosis with polyangiitis (GPA). We determined the prevalence, severity, determinants, and the impact of these comorbidities on quality-of-life (QoL) in GPA. This observational study included adult GPA patients; patients with RA and lupus were included as comparators. Patient Health Questionnaire-9 for depression, Generalized Anxiety Disorder 7-item scale for anxiety, Epworth Sleepiness Scale for sleep disturbances, and Fatigue Severity Scale for fatigue were administered prospectively to estimate prevalence and severity. QoL and disability were estimated using PROMIS-HAQ, HAQ-health and HAQ-pain. Correlations among these parameters were assessed. Stepwise regression analyses were performed to identify determinants of depression, anxiety, excessive sleepiness, and fatigue. One hundred eighty-one patients-62 GPA [mean age 43 (13) years], 57 RA and 62 SLE- were included. The prevalence of depression (47%), excessive sleepiness (21%), and fatigue (39%) in GPA were comparable to RA and lupus; anxiety was less prevalent (29% versus 46% and 53%, p = 0.02). Severity was mostly mild-moderate. Younger age [OR = 0.93 (0.89-0.98)], higher BMI [OR = 1.2 (1.0-1.4)], and greater disease damage [OR = 2.0 (1.3-3.3)] independently predicted presence of depression. Higher BMI [OR = 1.3 (1.1-1.5)] and concomitant FMS [OR = 80.9 (5.1-1289.2)] were independently associated with excessive sleepiness. No association with disease activity, duration, or gender was seen. GPA patients with depression, anxiety, excessive sleepiness, and fatigue had worse PROMIS-HAQ, HAQ-pain, and HAQ-health. In conclusion, depression, anxiety, sleep disturbances, and fatigue are common in GPA. Although their severity is mostly mild-moderate, they impair QoL significantly. Potentially modifiable determinants that can form targets for future interventions have been identified.

Changes in cognitive function and daytime sleepiness in patients with chronic heart failure and Cheyne-Stokes respiration with adaptive servo ventilation treatment.

STUDY OBJECTIVES: Cheyne - Stokes respiration (CSR) is prevalent in patients with chronic heart failure (CHF). Adaptive Servo Ventilation (ASV) alleviates CSR and improves objective sleep quality. We investigated the effects of ASV on neurocognitive function in the symptomatic phenotype of patients with CSR and CHF. METHODS: This case series included patients diagnosed with stable CHF (NYHA ≥ II) and CSR (N = 8). Sleep and neurocognitive function were assessed at baseline and after 1- and 6-months following initiation of ASV treatment. RESULTS: In CHF patients (n = 8, median age 78.0[64.5-80.8] years and BMI 30.0[27.0-31.5] kg/m2, median ejection fraction 30[24-45]%, Epworth Sleepiness Scale (ESS) score 11.5[9.0-15.0]), ASV markedly improved respiration during sleep (Apnea-Hypopnea Index (AHI) 44.1[39.0-51.5]n/h at baseline, 6.3[2.4-9.7]n/h at 6 months treatment, respectively, p < 0.01). The 6-min-walk test distance increased by treatment from (295.0[178.8-385.0] m to 356.0[203.8-495.0] m (p = 0.05)). Sleep structure was modified, and Stage 3 increased markedly from 6.4[1.7-20.1] % to 20.8[14.2-25.3] %, p < 0.02). Sleep latency in the Maintenance of Wakefulness Test increased from 12.0[6.0-30.0] min to 26.3[12.0-30.0] min, (p = 0.04). In the Attention Network Test, evaluating neurocognition, the number of lapses decreased from 6.0[1.0-44.0] to 2.0[0.3-8.0], (p = 0.05) and the overall number of responses to a preset stimulus increased after treatment (p = 0.04). CONCLUSIONS: ASV treatment in CHF patients with CSR may improve sleep quality, neurocognition and daytime performance.

Elusive hypersomnolence in seasonal affective disorder: actigraphic and self-reported sleep in and out of depressive episodes.

BACKGROUND: Hypersomnolence has been considered a prominent feature of seasonal affective disorder (SAD) despite mixed research findings. In the largest multi-season study conducted to date, we aimed to clarify the nature and extent of hypersomnolence in SAD using multiple measurements during winter depressive episodes and summer remission. METHODS: Sleep measurements assessed in individuals with SAD and nonseasonal, never-depressed controls included actigraphy, daily sleep diaries, retrospective self-report questionnaires, and self-reported hypersomnia assessed via clinical interviews. To characterize hypersomnolence in SAD we (1) compared sleep between diagnostic groups and seasons, (2) examined correlates of self-reported hypersomnia in SAD, and (3) assessed agreement between commonly used measurement modalities. RESULTS: In winter compared to summer, individuals with SAD (n = 64) reported sleeping 72 min longer based on clinical interviews (p < 0.001) and 23 min longer based on actigraphy (p = 0.011). Controls (n = 80) did not differ across seasons. There were no seasonal or group differences on total sleep time when assessed by sleep diaries or retrospective self-reports (p's > 0.05). Endorsement of winter hypersomnia in SAD participants was predicted by greater fatigue, total sleep time, time in bed, naps, and later sleep midpoints (p's < 0.05). CONCLUSION: Despite a winter increase in total sleep time and year-round elevated daytime sleepiness, the average total sleep time (7 h) suggest hypersomnolence is a poor characterization of SAD. Importantly, self-reported hypersomnia captures multiple sleep disruptions, not solely lengthened sleep duration. We recommend using a multimodal assessment of hypersomnolence in mood disorders prior to sleep intervention.

Genotype and sleep independently predict mental health in Rett syndrome: an observational study.

BACKGROUND: Rett syndrome is a genetically caused neurodevelopmental disorder associated with severe impairments and complex comorbidities. This study examined predictors of anxiety and depression in Rett syndrome, including genotype. METHODS: The International Rett Syndrome Database, InterRett, was the data source for this observational study. Associations between genotype, functional abilities, comorbidities, anxiety and depression were estimated with univariate and multivariate regression models. An additional regression model for anxiety included use of an anxiety medication as a predictor variable. RESULTS: The sample included 210 individuals aged 6-51 years of whom 54 (25.7%) were on psychotropic medication for anxiety or depression. Individuals with the p.Arg294* variant had the highest anxiety scores, as did those with insomnia or excessive daytime sleepiness, irrespective of anxiety medication use. Individuals with the p.Arg306Cys variant had the lowest depression scores, as did those with insomnia or excessive daytime sleepiness. CONCLUSION: Findings indicated that genotype and sleep have implications for mental health in Rett syndrome, suggesting that anticipatory guidance and proactive management of poor sleep could improve mental health. More research is needed to understand the effects of psychometric medications, which cannot be inferred from this cross-sectional study.

Persistence of Anxiety/Depression Symptoms in Early Adolescence: A Prospective Study of Daily Life Stress, Rumination, and Daytime Sleepiness in a Genetically Informative Cohort.

In this prospective study of mental health, we examine the influence of three interrelated traits - perceived stress, rumination, and daytime sleepiness - and their association with symptoms of anxiety and depression in early adolescence. Given the known associations between these traits, an important objective is to determine the extent to which they may independently predict anxiety/depression symptoms. Twin pairs from the Queensland Twin Adolescent Brain (QTAB) project were assessed on two occasions (N = 211 pairs aged 9-14 years at baseline and 152 pairs aged 10-16 years at follow-up). Linear regression models and quantitative genetic modeling were used to analyze the data. Prospectively, perceived stress, rumination, and daytime sleepiness accounted for 8-11% of the variation in later anxiety/depression; familial influences contributed strongly to these associations. However, only perceived stress significantly predicted change in anxiety/depression, accounting for 3% of variance at follow-up after adjusting for anxiety/depression at baseline, although it did not do so independently of rumination and daytime sleepiness. Bidirectional effects were found between all traits over time. These findings suggest an underlying architecture that is shared, to some degree, by all traits, while the literature points to hypothalamic-pituitary-adrenal (HPA) axis and/or circadian systems as potential sources of overlapping influence and possible avenues for intervention.

A Longitudinal Study of Insomnia, Daytime Sleepiness, and Academic Performance in Chinese Adolescents.

BACKGROUND: Longitudinal data on the associations between sleep disturbances, daytime sleepiness, and daily functioning are limited in the general adolescent population. This study examined the cross-sectional and longitudinal associations between insomnia, excessive daytime sleepiness (EDS), and subject-specific academic performance in a large sample of Chinese adolescents. METHOD: Data were derived from the Shandong Adolescent Behavior and Health Cohort (n = 7,072) study. A self-administered questionnaire was used to assess insomnia, EDS, academic performance (overall, Chinese, mathematics, and English), behavioral and emotional problems, and family demographics. The cross-sectional analysis was conducted with baseline data while the longitudinal analysis was conducted with both baseline and 1-year follow-up data. Logistic regression analyses and mediation models were performed to examine the associations between insomnia, EDS, and academic performance. RESULTS: Logistic regression analyses revealed that insomnia and EDS had significant cross-sectional associations with overall performance and mathematics performance after controlling for age, gender, ever smoking, ever alcohol drinking, frequent snore, sleep duration, chronic disease, anxious/depressive symptoms, parents' education, parents' occupation, and family economic status. Both insomnia (OR = 1.20, 95% CI: 1.00-1.45) and EDS (OR = 1.22, 95% CI: 1.03-1.45) at baseline were significantly associated with poor mathematics performance 1 year later. The effect of insomnia at baseline on poor academic performance 1 year later was mediated by EDS except for the Chinese subject after controlling for the covariates. CONCLUSIONS: Insomnia and daytime sleepiness are significantly associated with poor academic performance, particularly in mathematics. EDS mediates the association between insomnia and poor academic performance. Further research is warranted to investigate the effects of sleep disturbance and daytime sleepiness on the learning process and performance across academic subjects.

Excessive daytime sleepiness in idiopathic blepharospasm.

OBJECTIVE: To explore the frequency of excessive daytime sleepiness (EDS), and its impact on quality of life and its associated clinical factors in idiopathic blepharospasm. METHODS: This cross-sectional study was carried out in 425 idiopathic blepharospasm patients and a group of 424 age-matched and sex-matched healthy subjects. EDS was assessed with the Epworth Sleepiness Scale (ESS) in all subjects. Other clinical characteristics of patients with idiopathic blepharospasm including motor symptoms, sleep quality, depression, anxiety, cognition, and quality of life were also assessed. RESULTS: EDS was significantly more frequent in patients with idiopathic blepharospasm than in controls (22.1% vs 12.3%; p < 0.05). Blepharospasm patients with EDS scored significantly higher in Jankovic Rating scale, Hamilton Rating Scale for Depression (HDRS), Hamilton Rating Scale for Anxiety (HARS), and significantly lower in Montreal Cognitive Assessment (MoCA) and 36-Item Short Form Health Survey (SF-36) than those without EDS (p < 0.05). The binary logistic regression model indicated that male, younger age of onset of blepharospasm, higher motor scores, higher HDRS scores, and lower MoCA scores were associated with the presence of EDS in patients with blepharospasm (p < 0.05). CONCLUSIONS: Recognition and management of EDS in idiopathic blepharospasm patients is necessary as the occurrence of EDS was associated with higher motor burden, more serious mood and cognitive disturbances, and poorer quality of life. Our results suggest that blepharospasm may exhibit abnormal sleep-wake patterns and further support the clinical heterogeneity of the disease.

Sleep after Traumatic Brain Injury.

Sleep disturbances are common after traumatic brain injury of all levels of severity, interfere with acute and long-term recovery, and can persist for years after injury. There is increasing evidence of the importance of sleep in improving brain function and recovery. Noticing and addressing sleep disturbances are important aspects of nursing care, especially for the prevention or early recognition of delirium. Nonpharmacologic interventions can improve sleep. Teaching about the importance of sleep after traumatic brain injury, promoting sleep hygiene, and multidisciplinary approaches to addressing sleep problems and improving sleep are important for recovery from traumatic brain injury.

The Effect of Acupressure on Daytime Sleepiness and Sleep Quality in Hemodialysis Patients.

This study was carried out to evaluate the effect of acupressure applied to hemodialysis patients on the level of daytime sleepiness and sleep quality. The data were collected using the Descriptive Information Form, Pittsburgh Sleep Quality Index, and Epworth Sleepiness Scale. In the study, a total of 12 sessions of acupressure were applied to the Shenmen (HT7), Sanyingjao (Sp6), and Yungquan (KI1) points in the experimental group for 4 weeks. No intervention was applied to the control group. After the acupressure, it was determined that the sleep quality of the experimental group was better than that of the control group and that daytime sleepiness was less compared with the control group. After the acupressure, it was determined that the sleep latency of the experimental group was statistically significantly less and their total sleep duration was higher compared with the control group (P < .05). Although there was a decrease in the sleep quality of the experimental group 1 month after the cessation of the acupressure, it was determined that the sleep quality of the experimental group was better than that of the control group (P < .05). It was concluded that acupressure was an effective nursing intervention in increasing sleep quality and decreasing daytime sleepiness of hemodialysis patients.

Cognitive Functions Predict Trajectories of Sleepiness Over 10 Years: A Population-Based Study.

BACKGROUND: Excessive daytime sleepiness is associated with chronic disorders of aging and mortality. Because longitudinal data are limited on the development of sleep disturbances and cognitive changes in older adults, we investigated the demographic, clinical, and cognitive predictors of self-reported daytime sleepiness over a period of 10 years. METHODS: We jointly modeled latent trajectories over time of sleepiness, cognitive domains, and informative attrition and then fit models to identify cognitive trajectories and baseline characteristics that predicted the trajectories of sleepiness. RESULTS: Three latent trajectory groups were identified: emerging sleepiness, persistent sleepiness, and consistently low daytime sleepiness accounting for attrition in all groups. Compared with low sleepiness, emerging sleepiness was significantly associated with declining attention and subjective memory complaints; persistent sleepiness was associated with lower baseline scores in all cognitive domains, declining language trajectory, and more subjective memory complaints. CONCLUSIONS: These findings suggest that persistent sleepiness and emerging daytime sleepiness are associated with cognitive decline and multiple morbidities, albeit more subtly in emerging daytime sleepiness. Furthermore, these data suggest that change in the cognitive domain of attention and subjective memory complaints may be early indicators of future sleep disturbance.

Potential Maladaptive Sleep-Related Cognitions in Depression with Comorbid Hypersomnolence: An Exploratory Investigation.

Objective/Background: Dysfunctional sleep-related cognitions (SRCs) have been demonstrated in both insomnia and depression, but have not been evaluated in patients experiencing depression with co-occurring hypersomnolence. Given the prominence of maladaptive thinking in depression with comorbid insomnia, dysfunctional SRCs may also exist in depressed persons experiencing hypersomnolence. Identifying potentially maladaptive SRCs may assist development of cognitive-behavioral strategies to alleviate hypersomnolence and its related impairment, particularly when comorbid with depression. Participants: Twenty-two unmedicated persons with major depressive disorder (MDD) with comorbid hypersomnolence (MDD+/HYP+), as well as age- and sex-matched persons with MDD without hypersomnolence (MDD+/HYP-) and healthy controls (HC). Methods: Participants completed the Dysfunctional Beliefs and Attitudes About Sleep-16-item (DBAS-16) and underwent overnight polysomnography. Groups were compared across clinical and sleep domains, as well as DBAS-16 global, subscale, and individual item scores. Additional analyses evaluated DBAS-16 components while controlling for depression severity. Results: Groups significantly differed across all collected sleep and mood metrics consistent with diagnostic classification. MDD+/HYP+ DBAS-16 global score was significantly elevated, relative to HC, and was comparable to MDD+/HYP-. A DBAS-16 global score significant group effect was maintained while controlling for depression symptom severity, however only individual DBAS-16 items related to quantity and quality of sleep demonstrated particular relevance to MDD+/HYP+ compared to other groups. Conclusions: Results suggest potentially maladaptive SRCs in MDD+/HYP+. Further efforts are needed to clarify whether these beliefs and attitudes about sleep in persons with hypersomnolence are in fact dysfunctional, as well as identify relevant content for development of a novel hypersomnolence-related SRC metric.

Developing an Alternative Version of the Epworth Sleepiness Scale to Assess Daytime Sleepiness in Adults with Physical or Mental Disabilities.

INTRODUCTION: Excessive daytime sleepiness (EDS) is a frequent symptom with many possible causes, and many of these can be treated. EDS and its underlying causes have been associated with various negative health consequences. Recognition of EDS is thus an important public health concern. The concept of EDS is, however, not yet well defined, and different measures are used to diagnose EDS. The Epworth Sleepiness Scale (ESS) is the most widely used tool to assess daytime sleepiness in a broad range of populations. Its applicability in patients exhibiting physical or mental disabilities, like older multimorbid patients, is limited, since the ESS was not developed and validated in this patient group. METHODS: Within an expert study with 35 sleep medicine experts and a pilot study with 52 geriatric in-patients, who frequently exhibit physical or mental disabilities, and patients' close relatives, we adapted the original ESS to develop an alternative version to assess daytime sleepiness in adults with physical or mental disabilities (ESS-ALT). RESULTS: In this adapted version, items 3 (sitting inactively in a public place) and 8 (sleepy in traffic) were replaced by 2 new items (sitting in a waiting room, sitting and eating a meal) and an interview format was used. This ESS-ALT achieved fewer missing responses (23 vs. 73%) and a higher level of internal consistency (Cronbach's α = 0.64 vs. 0.23) than the original ESS while keeping its somnificity structure. CONCLUSION: The ESS-ALT achieves better psychometric properties than the original ESS for individuals with physical or mental disabilities.

The nature of posttraumatic nightmares and school functioning in war-affected youth.

Children and adolescents who have experienced traumatic events demonstrate a variety of posttraumatic symptoms, including recurrent nightmares, as well as adverse reactions in the school setting. The current study examined nightmare symptoms, posttraumatic stress, sleep disturbance, and self- and teacher-reported school functioning of 64 youths in the Gaza Strip, ages 12 to 16, who have lived through three wars and experience ongoing conflict and political insecurity. Students were treatment-seeking for sleep-problems and reported, on average, five nightmares per week for an average of three years, with concomitant disrupted sleep, fear of going to sleep, and not feeling rested in the morning. Both teachers and students reported that participants exhibited impaired academic functioning and daytime sleepiness. The content of the students' nightmares demonstrated frightening themes of being under attack and loss of self-efficacy/control; threat levels were high, and almost 60% included the threat of death. Approximately half of the nightmares included surreal elements in addition to more realistic scenes of violence. Participants in the study demonstrated substantial posttraumatic sleep problems with intensely distressing, frequent and chronic nightmares, andnightmare symptoms were associated with impairment in school functioning. Given the disruptive and distressing nature of these students' nightmare disturbance, we suggest that increasing self-efficacy in relation to the experience of recurrent nightmares may be a good point of intervention with these recurrently traumatized youth. Thus, increasing the understanding of students' nightmare symptoms may lead to ameliorating the suffering of youths in war zones and may have positive effects on their school functioning.

Prevalence of excessive daytime sleepiness and associated factors in adolescents of the RPS cohort, in São Luís (MA), Brazil. / Prevalência de sonolência diurna excessiva e fatores associados em adolescentes da coorte RPS, em São Luís (MA).

OBJECTIVES: To estimate the prevalence and factors associated with excessive daytime sleepiness (EDS) in adolescents from the São Luís, Maranhão birth cohort. METHOD: Cross-sectional study conducted with 2,514 adolescents aged 18 and 19 years old. A hierarchical approach was used, and prevalence ratios were calculated using Poisson regression with robust variance adjustment. Sociodemographic characteristics (gender, race, economic class, and occupation), lifestyle (leisure activities, smoking, alcohol, illicit drug use, coffee and energy consumption, physical activity, body adiposity, screen time, and depression), and factors related to sleep were studied. RESULTS: The prevalence of EDS was 36.8%. The female gender (PR = 1.33; 95%CI 1.19 - 1.49), high risk for alcohol consumption (PR = 1.26; 95%CI 1.09 - 1.46), current major depressive episode (PR = 1.26; 95%CI 1.08 - 1.46), sleep alteration score from 10 to 18 (PR = 1.43; 95%CI 1.10 - 1.85), and sleep score from 5 to 7 of daytime dysfunction (PR = 2.51; 95%CI 2.06 - 3.07) were risk factors for EDS. Economic class D/E was a protective factor for EDS (PR = 0.47; 95%CI 0.27 - 0.85). CONCLUSION: More than one-third of adolescents had EDS. Adolescents at higher risk need to improve their sleeping habits and lifestyle so that they no longer have EDS and can improve their quality of life.

Correlates of sleep quality and excessive daytime sleepiness in people with opioid use disorder receiving methadone treatment.

PURPOSE: The aim of this study was to evaluate the prevalence and clinical correlates of impaired sleep quality and excessive daytime sleepiness among patients receiving methadone for opioid use disorder (OUD). METHODS: Patients receiving methadone (n = 164) completed surveys assessing sleep quality (Pittsburgh Sleep Quality Index [PSQI]), daytime sleepiness (Epworth Sleepiness Scale [ESS]), and related comorbidities. We used bivariate and multivariable linear regression models to evaluate correlates of sleep quality and daytime sleepiness. RESULTS: Ninety percent of patients had poor sleep quality (PSQI >5), and the mean PSQI was high (11.0 ±4). Forty-six percent reported excessive daytime sleepiness (ESS > 10). In multivariable analyses, higher PSQI (worse sleep quality) was significantly associated with pain interference (coefficient = 0.40; 95% CI = 0.18-0.62; ß = 0.31), somatization (coefficient = 2.2; 95% CI = 0.75-3.6; ß = 0.26), and negatively associated with employment (coefficient = - 2.6; 95% CI = - 4.9 to - 0.19; ß = - 0.17). Greater sleepiness was significantly associated with body mass index (coefficient = 0.32; 95% CI = 0.18-0.46; ß = 0.33), and there was a non-significant association between sleepiness and current chronic pain (coefficient = 1.6; 95% CI = 0.26-3.5; ß = 0.13; p value = 0.09). CONCLUSIONS: Poor sleep quality and excessive daytime sleepiness are common in patients receiving methadone for OUD. Chronic pain, somatization, employment status, and obesity are potentially modifiable risk factors for sleep problems for individuals maintained on methadone. People with OUD receiving methadone should be routinely and promptly evaluated and treated for sleep disorders.

Predictors of change over time in subjective daytime sleepiness among older adult recipients of long-term services and supports.

OBJECTIVES: Daytime sleepiness is associated with multiple negative outcomes in older adults receiving long-term services and supports (LTSS) including reduced cognitive performance, need for greater assistance with activities of daily living and decreased social engagement. The purpose of this study was to identify predictors of change in subjective daytime sleepiness among older adults during their first 2 years of receiving LTSS. DESIGN AND SETTING: Secondary analysis of data from a prospective longitudinal study of older adults who received LTSS in their homes, assisted living communities or nursing homes interviewed at baseline and every 3 months for 24 months. PARTICIPANTS: 470 older adults (60 years and older) newly enrolled in LTSS (mean = 81, SD = 8.7; range 60-98; 71% women). MEASUREMENTS: Subjective daytime sleepiness was assessed every 3 months through 2 years using the Epworth Sleepiness Scale. Multiple validated measures were used to capture health-related quality of life characteristics of enrollees and their environment, including symptom status (Symptom Bother Scale), cognition (Mini Mental Status Exam), physical function (Basic Activities of Daily Living), physical and mental general health, quality of life (Dementia Quality of Life, D-QoL), depressive symptoms (Geriatric Depression Scale) and social support (Medical Outcomes Survey-Social Support). RESULTS: Longitudinal mixed effects modeling was used to examine the relationship between independent variables and continuous measure of daytime sleepiness. Increased feelings of belonging, subscale of the D-QoL (effect size = -0.006, 95% CI: -0.013 to -0.0001, p = 0.045) and higher number of depressive symptoms (effect size = -0.002, 95% CI: -0.004 to -0.001, p = 0.001) at baseline were associated with slower rates of increase in daytime sleepiness over time. CONCLUSIONS: Comprehensive baseline and longitudinal screening for changes in daytime sleepiness along with depression and perceived quality of life should be used to inform interventions aimed at reducing daytime sleepiness among older adults receiving LTSS.

Subjective and Objective Assessment of Hypersomnolence.

This article describes clinical approaches to assessing sleepiness. Subjective sleep scales are used in clinical settings but have significant limitations. Likewise, objective tools may have prohibitive expense, and practical administration considerations may prohibit regular use. Gold standard tests include the multiple sleep latency test and maintenance of wakefulness test. These studies are criticized for a variety of reasons but are useful in appropriate clinical context. New tools suggest novel ways to assess sleepiness and will likely be more prominent in clinical assessments over time. This article outlines subjective scales and objective tools and suggests situations where particular instruments may be appropriate.