Insomnia Scores Research Articles

Unravelling the sleep crisis: insomnia among medical students in government and private medical college students in Mysuru district

Background: Insomnia, a prevalent sleep disorder, significantly impacts medical students due to the high levels of stress and demanding academic schedules. The educational environment of medical students, marked by intense competition and high expectations, often contributes to chronic stress, a known precursor to sleep disturbances. This study aimed to compare the prevalence of insomnia among medical students in government and private medical colleges and assess the factors contributing to insomnia in these groups. Methods: The cross-sectional study was conducted among 490 medical students from government and private medical colleges over three months (April to June 2024). Systematic sampling was used to select participants, and data were collected via a self-administered questionnaire, including sociodemographic information and the Athens insomnia scale. Data were analysed using SPSS Version 26.0, with chi-square tests for qualitative data and Mann-Whitney U tests for insomnia comparisons. Results: The study revealed a significantly higher prevalence of insomnia in private medical college students (40.8%) compared to government college students (11.8%). Significant associations were found between insomnia and insufficient sleep, stress, and depression in both groups. Additionally, the use of mobile devices at night and irregular sleep patterns during exams were linked to higher insomnia rates. The median insomnia score was higher in private medical college students compared to government college students, indicating a statistically significant difference (p value <0.05). Conclusions: Targeted interventions to improve sleep quality and mental health support are crucial for this population. Regular assessments and feedback mechanisms should be implemented to enhance the effectiveness of these interventions.

EMDR–Teens–cPTSD: Efficacy of Eye Movement Desensitization and Reprocessing in Adolescents with Complex PTSD Secondary to Childhood Abuse: A Case Series

Background: Mental healthcare for children and adolescents with a history of childhood abuse constitutes a major public health issue. Indeed, abuse exposes children to severe and complex post-traumatic stress disorder (cPTSD) but also to neurodevelopmental and psychological repercussions impacting the developmental trajectory. Trauma-focused care is essential to avoid the chronicization of symptoms and disorders. Objective: The aim of this prospective case series study was to investigate the efficacy of eye movement desensitization and reprocessing (EMDR) on complex post-traumatic symptoms and associated psychiatric disorders in adolescents with a history of abuse. Method: Twenty-two adolescents, aged 12 to 17, who had been abused during childhood were included. All adolescents met ICD-11 criteria for complex PTSD. Subjective measures of PTSD and associated psychiatric disorders were taken before (T0) and after 3 months of EMDR therapy (T1). Results: The average PTSD symptom score on the CPTS-RI significantly decreased from 40.2 to 34.4 after EMDR, indicating improvement in post-traumatic symptoms. A significant decrease in the average depression score (CDI from 18.2 at T0 to 10.6 at T1), anxiety score (R–CMAS from 21.3 at T0 to 13.3 at T1), emotional regulation score (ALS from 29 at T0 to 10.8 at T1), insomnia score (ISI from 18.5 at T0 to T1 of 9.2 at T1), and harmful use of alcohol and drugs score (ADOSPA from 2.3 at T0 to 0.3 at T1) was observed after EMDR therapy, as well as an increase in quality of life (CBCL 4–16 score from 57.9 at T0 to 77.4 at T1). Conclusions: The results of this study are encouraging and suggest that EMDR may be effective in the symptom management reducing post-traumatic symptoms and certain comorbid disorders frequently seen in adolescents who have experienced childhood abuse. Further research is needed on adolescent populations suffering from cPTSD (e.g., randomized controlled trials with control groups and other therapies or evaluating the action of the different phases of the study).

Machine learning and Bayesian network analyses identifies associations with insomnia in a national sample of 31,285 treatment-seeking college students

BackgroundA better understanding of the relationships between insomnia and anxiety, mood, eating, and alcohol-use disorders is needed given its prevalence among young adults. Supervised machine learning provides the ability to evaluate which mental disorder is most associated with heightened insomnia among U.S. college students. Combined with Bayesian network analysis, probable directional relationships between insomnia and interacting symptoms may be illuminated.MethodsThe current exploratory analyses utilized a national sample of college students across 26 U.S. colleges and universities collected during population-level screening before entering a randomized controlled trial. We used a 4-step statistical approach: (1) at the disorder level, an elastic net regularization model examined the relative importance of the association between insomnia and 7 mental disorders (major depressive disorder, generalized anxiety disorder, social anxiety disorder, panic disorder, post-traumatic stress disorder, anorexia nervosa, and alcohol use disorder); (2) This model was evaluated within a hold-out sample. (3) at the symptom level, a completed partially directed acyclic graph (CPDAG) was computed via a Bayesian hill-climbing algorithm to estimate potential directionality among insomnia and its most associated disorder [based on SHAP (SHapley Additive exPlanations) values)]; (4) the CPDAG was then tested for generalizability by assessing (in)equality within a hold-out sample using structural hamming distance (SHD).ResultsOf 31,285 participants, 20,597 were women (65.8%); mean (standard deviation) age was 22.96 (4.52) years. The elastic net model demonstrated clinical significance in predicting insomnia severity in the training sample [R2 = .44 (.01); RMSE = 5.00 (0.08)], with comparable performance in the hold-out sample (R2 = .33; RMSE = 5.47). SHAP values indicated that the presence of any mental disorder was associated with higher insomnia scores, with major depressive disorder as the most important disorder associated with heightened insomnia (mean |SHAP|= 3.18). The training CPDAG and hold-out CPDAG (SHD = 7) suggested depression symptoms presupposed insomnia with depressed mood, fatigue, and self-esteem as key parent nodes.ConclusionThese findings provide insights into the associations between insomnia and mental disorders among college students and warrant further investigation into the potential direction of causality between insomnia and depression.Trial registrationTrial was registered on the National Institute of Health RePORTER website (R01MH115128 || 23/08/2018).

Characteristics of locus coeruleus functional connectivity network in patients with comorbid migraine and insomnia

BackgroundMigraine and insomnia are prevalent conditions that often co-occur, each exacerbating the other and substantially impacting the quality of life. The locus coeruleus (LC), a brainstem region responsible for norepinephrine synthesis, participates in pain modulation, sleep/wake cycles, and emotional regulation, rendering it a potential nexus in the comorbidity of migraine and insomnia. Disruptions in the LC-noradrenergic system have been hypothesized to contribute to the comorbidities of migraine and insomnia, although neuroimaging evidence in humans remains scarce. In this study, we aimed to investigate the intrinsic functional connectivity (FC) network of the LC in patients with comorbid migraine and subjective chronic insomnia and patients with migraine with no insomnia (MnI) using resting-state functional magnetic resonance imaging (rs-fMRI) and seed-based FC analyses.MethodsIn this cross-sectional study, 30 patients with comorbid migraine and chronic insomnia (MI), 30 patients with MnI, and 30 healthy controls (HCs) were enrolled. Participants underwent neuropsychological testing and rs-fMRI. The LC-FC network was constructed using seed-based voxel-wise FC analysis. To identify group differences in LC-FC networks, voxel-wise covariance analysis was conducted with sex and age as covariates. Subsequently, a partial correlation analysis was conducted to probe the clinical relevance of aberrant LC-FC in patients with MI and MnI.ResultsExcept for the insomnia score, no other significant difference was detected in demographic characteristics and behavioral performance between the MI and MnI groups. Compared with HCs, patients with MI exhibited altered LC-FC in several brain regions, including the dorsomedial prefrontal cortex (DMPFC), anterior cerebellum, dorsolateral prefrontal cortex (DLPFC), thalamus, and parahippocampal gyrus (PHG). Lower FC between the LC and DLPFC was associated with greater insomnia severity, whereas higher FC between the LC and DMPFC was linked to longer migraine attack duration in the MI group.ConclusionOur findings reveal the presence of aberrant LC-FC networks in patients with MI, providing neuroimaging evidence of the interplay between these conditions. The identified LC-FC alterations may serve as potential targets for therapeutic interventions and highlight the importance of considering the LC-noradrenergic system in the management of MI.

Effect of sleep quality on repetitive transcranial magnetic stimulation outcomes in depression.

While repetitive transcranial magnetic stimulation (rTMS) is effective for 50-60% of those treatment-resistant depression, it is critical to identify predictors of response for optimal patient selection to improve therapy. Insomnia is a known symptom of depression that is both correlated with depression severity and associated with poor antidepressant response. Therefore, understanding this relationship may open new opportunities for the optimization of rTMS treatment. We aimed to explore whether baseline sleep quality, specifically insomnia, is associated with rTMS outcomes in a naturalistic sample of 975 patients (age 18-90; 63.9% F) receiving a standard course of rTMS treatment from two outpatient TMS clinics located within psychiatric hospitals in the United States. One site additionally collected information on concurrent medication use on 350 patients; among these, we examined whether pharmacological treatment of insomnia affected TMS treatment response. Depression was measured using the 30-item Inventory of Depressive Symptomology Self Report (IDS-SR) in site one and an abbreviated 16-item Quick Inventory of Depressive Symptomology (QIDS) derived from the IDS-SR in site two. Sleep disturbances were measured using three insomnia-related questions. Multilevel logistic regression was used to determine whether baseline insomnia scores were associated with TMS treatment outcome. Upon dichotomous categorization of the sample by insomnia and sleep-medication use, depression and sleep scores were analyzed across time using mixed repeated measures ANOVA. We found that sleep quality improves after TMS (p<.001) and correlates with improvement in non-insomnia related depression symptoms (r= .318, p<.001). We found that among those who had significant insomnia at baseline, those not using sleep medications had significantly worse post-treatment IDS-SR scores compared to those using sleep medications (p=. 021) despite no difference in final insomnia score. Together, our results suggest that while baseline insomnia is not associated with TMS effectiveness, treating insomnia may affect the trajectory of TMS therapy. Future prospective studies are needed to examine the effect of insomnia treatment alongside TMS for depression.

Depressive symptoms in patients with hypersomnia measured with Beck Depression Inventory

BackgroundPatients with central hypersomnia (HCO) often show symptoms of depression. Despite of many studies conducted in this field, the link between these two disorders remains unclear. In order to contribute data to this research, we examined the question of which depressive symptoms characterize these patients. Furthermore, we investigated the differences between HCO who were more or less depressed regarding insomnia, sleep quality and daytime tiredness. Methods and materialThe retrospective analysis assesses the presence and kind of depressive symptoms as measured by the Beck Depression Inventory (BDI) in 168 HCO including narcolepsy type I (NAR1), narcolepsy type II (NAR2) and idiopathic hypersomnia (HYP). Sleep parameters from one night of polysomnography, scores of questionnaires for insomnia and for daytime sleepiness, and data from sustained attention tests were compared between HCO with and without depression, as determined by BDI scores (cut off >12). ResultsAccording to BDI scores 52% exhibited no depression. The BDI items pertaining to tiredness and work inhibition exhibited elevated scores, whereas those pertaining to suicidality showed low scores. No difference was found between depressed and non-depressed HCO with regard to daytime vigilance performance or daytime sleepiness. However, depression was associated with older age, higher insomnia scores, and a shorter sleep time on polysomnography. ConclusionA potential interpretation of our findings is that depressive symptoms in HCO may be a consequence of restricted life quality due to hypersomnia. Thus, therapeutical effort should focus more intensely on coping strategies.

Demographic Differences in Insomnia and Anxiety and the Association with Cardiovascular Risk Factors among Jordanian Healthy Adult.

Prior studies showed that anxiety and insomnia are both associated with Cardiovascular Disease (CVD). There is a lack of literature related to the prevalence of insomnia and anxiety among healthy adult populations in developing countries as in Jordan, Therefore, this study aimed to examine the association between the CVD risk factors and both insomnia and anxiety among healthy adults had one or more modifiable CVD risk factors. A cross-sectional method was used to examine the prevalence of anxiety, insomnia, and demographical and clinical association with anxiety and insomnia among 1000 Jordanian adult participants using the Hamilton Anxiety Rating Scale and the insomnia severity index. Pearson's correlation was used to examine the correlation between anxiety and insomnia scores. Linear regression was used to examine predictors to anxiety and insomnia based on demographical and clinical details. The result of the current study showed that (30.20%) of participants had higher anxiety scores, (29.70%) had moderate to severe insomnia. Moreover, there was a significant positive correlation between anxiety and insomnia scores, p = 0.01. Based on the current study findings only marital status and anxiety were unique predictors of insomnia F(14,45) = 989, p = 0.001. Moreover, Predictors of anxiety were gender, hypertension, Diabetes mellitus, dyslipidemia, and insomnia F(19,89) = 989, p = 0.001. Sleep and psychological well-being are important components of an adult's health and well-being. The study showed that marital status and anxiety are predictors of insomnia. Whereas, gender, hypertension, diabetes mellitus, dyslipidemia, and insomnia were predictors of anxiety. This study highlights the importance of the implementation of a primary prevention strategy for individuals with modifiable CVD risk factors to reduce anxiety and insomnia levels among adults.

Older adults exercising ON TIME: protocol for a randomized controlled cross-over study to assess the effect of physical activity timing on insomnia severity

BackgroundThere are increased indications that physical activity timing, irrespective of intensity, impacts insomnia and circadian clock function. Here, we describe the rationale and design of a randomized cross-over study, called ON TIME, to examine the effects of (changing) physical activity timing on insomnia severity and on multiple exploratory outcomes that are linked to circadian clock function.MethodsWe will conduct a randomized cross-over trial in 40 healthy older adults (aged 65 to 75 years) with subclinical or clinical insomnia (Insomnia Severity Index (ISI) scores of ≥ 10) from the Dutch municipality of Leiden and surroundings. Participants will undergo 3 intervention periods (14 days each) consecutively: one sedentary period and two periods of increased physical activity (one period with morning activity and one period with evening activity). The intervention periods are separated by a wash-out period of 1 week. In both active intervention arms, participants will follow coached or uncoached outdoor physical exercise sessions comprising endurance, strength, and flexibility exercises for 14 days. The primary outcome is change in insomnia severity as measured by the ISI. Additional exploratory outcomes include multiple components of objective sleep quality measured with tri-axial accelerometry and subjective sleep quality assessed by questionnaires as well as dim light melatonin onset and 24-h rhythms in heart rate, heart rate variability, breathing rate, oxygen saturation, mood, and objective emotional arousal and stress. Additionally, we will collect diary data on eating patterns (timing and composition). Finally, fasting blood samples will be collected at baseline and after each intervention period for measurements of biomarkers of metabolic and physiological functioning and expression of genes involved in regulation of the biological clock.DiscussionWe anticipate that this study will make a significant contribution to the limited knowledge on the effect of physical activity timing. Optimizing physical activity timing has the potential to augment the health benefits of increased physical exercise in the aging population.Trial registrationTrial was approved by the Medical Ethics Committee Leiden, The Hague, Delft, The Netherlands (June, 2023). The trial was registered in the CCMO-register https://www.toetsingonline.nl/to/ccmo_search.nsf/Searchform?OpenForm under study ID NL82335.058.22 and named (“Ouderen op tijd in beweging” or in English “Older adults exercising on time”). At time of manuscript submission, the trial was additionally registered at ClinicalTrials.gov under study ID: NL82335.058.22 and is awaiting approval.

Psychological and physical side effects during G-CSF mobilization in related donors of allo-HCT.

The psychological side effects of granulocyte colony-stimulating factor mobilization in related donors of allogeneic hematopoietic cell transplantation (allo-HCT) and impacts of psychological/physical side effects on harvest outcomes remain largely unknown. We prospectively analyzed 349 consecutive related peripheral blood stem cell (PBSC) donors for allo-HCT at the First Affiliated Hospital, Zhejiang University, School of Medicine from March 2021 to August 2023. Higher baseline peripheral blood white blood cell counts (p = 0.046), monocyte counts (p < 0.001), platelet counts (p = 0.001), and hemoglobin (p < 0.001) had a positive correlation to CD34+ cell counts in the first leukapheresis, while female donors (male vs. female, p < 0.001) and older age (> 40 vs. < = 40, p = 0.003) were negatively related to CD34+ cell counts. Bone pain was the most observed physical side effect and was more frequent in female donors (p = 0.032). The incidence of fatigue was higher in female donors and older donors (female vs. male, p = 0.016; > 40 vs. < = 40, p = 0.015). Donor depression (pre vs. during mobilization, p < 0.001), anxiety (pre vs. during mobilization, p = 0.043) and insomnia (pre vs. during mobilization, p = 0.011) scores increased during the mobilization period. Donors with higher depression, anxiety and stress scores at admission were more likely to experience nausea. At 1 month after the last leukapheresis, the counts of white blood cell, neutrophil, monocyte and hemoglobin were significant lower than baseline counts, while the platelet counts recovered to baseline. The mobilization and harvest process can increase the depression, anxiety and insomnia scores. Poor psychological status of the donor can aggravate the occurrence of physical side effects.

Psychiatric Characteristics, Symptoms of Insomnia and Depression, Emotion Regulation, and Social Activity among Swiss Medical Students.

Background: Almost by default, young adult students are at increased risk of suffering from mental health issues, and this holds particularly true for medical students. Indeed, compared to the general population and non-medical students, medical students report higher scores for symptoms of depression. For Swiss medical students, research on the associations between psychiatric characteristics and symptoms of depression and insomnia, including cognitive-emotional processes and social activity, has been lacking so far. Given this, the aims of the present study were to relate self-declared psychiatric characteristics to symptoms of depression, insomnia, emotion regulation, and social activity. Methods: A total of 575 medical students (mean age: 22.4 years; 68.9% females) completed an online survey covering sociodemographic information (age and gender), study context (year of study), self-declared psychiatric characteristics and symptoms of depression, insomnia, emotion regulation (cognitive reappraisal vs. emotion suppression), and social activity. Data on insomnia sum scores and categories of historical samples (862 non-medical students and 533 police and emergency response service officers) were used for comparison. Results: Of the 575 participants, 190 participants (33%) self-declared psychiatric issues, such as major depressive disorder; anxiety disorders, including PTSD and adjustment disorders; eating disorders; ADHD; or a combination of such psychiatric issues. Self-reporting a psychiatric issue was related to higher symptoms of depression and insomnia and lower symptoms of social activity and cognitive reappraisal (always with significant p-values and medium effect sizes). Compared to historical data for non-medical students and police and emergency response service officers, medical students reported higher insomnia scores. In a regression model, current self-declared psychiatric issues, female gender, higher scores for insomnia, and lower scores for social activity were associated with higher scores for depression. Conclusions: Among a sample of Swiss medical students, the occurrence of self-declared psychiatric issues was associated with higher scores for depression and insomnia and lower cognitive reappraisal and social activity. Further, insomnia scores and insomnia categories were higher when compared to non-medical students and to police and emergency response service officers. The data suggest that medical schools might introduce specifically tailored intervention and support programs to mitigate medical students' mental health issues. This holds particularly true for insomnia, as standardized and online-delivered treatment programs for insomnia (eCBTi) are available.

Does Spinal Cord Stimulation Improve Sleep Disturbances Independently of Pain Relief in Patients With Chronic Pain? An Explorative, Observational Study

ObjectivesChronic pain poses a significant health challenge worldwide and is associated with both disability and reduced quality of life. Sleep disturbances are reported in 67% to 88% of patients with chronic pain.Pain and sleep affect each other reciprocally; we aimed to study this bidirectional relationship in patients treated with spinal cord stimulation (SCS) for chronic pain. Specifically, we investigated whether sleep improves after treatment with SCS and whether this improvement may be mediated by pain reduction. Materials and MethodsAn observational cohort study was conducted in patients with chronic neuropathic pain treated with SCS at a single neurosurgical department in Denmark. Outcomes were assessed preoperatively and at three, six, and 12 months postoperatively, and thereafter annually. Primary outcomes were pain intensity (numeric rating scale) and insomnia at first follow-up (Insomnia Severity Index). The association between sleep and pain was investigated using linear regression and mediation analysis. ResultsForty-three patients were included in the study. The mean insomnia score was reduced by 25% from 18.1 (SD 6.0) to 13.5 (SD 6.6) (p = 0.0001). Pain intensity was reduced 38% from 7.4 (SD 1.6) to 4.6 (SD 2.1) at the first follow-up (p ≤ 0.0001). Changes in pain and changes in insomnia scores were significantly but weakly associated (regression coefficient = 1.3, 95% CI [0.3; 2.2], p = 0.008, r2 = 15.7%); and changes in pain score were not found to mediate changes in sleep score (β = −0.02, 95% CI [−0.15; 0.11], p = 0.76). ConclusionsWe found that patients treated with SCS showed significant improvements in both insomnia and pain intensity at first follow-up. Improvements in insomnia and pain intensity were significantly but weakly associated, and improvements in pain intensity score did not mediate improvements in insomnia score. Thus, improvements in self-reported insomnia in patients treated with SCS for chronic pain may predominantly be caused by other factors than reduced pain intensity.

Association of Clinical Factors with the Development of GDM in the Hoosier Mom’s Cohort

Introduction: Gestational diabetes mellitus (GDM) develops during pregnancy, raising the risk of adverse perinatal outcomes. The objective of this study was to investigate potential therapeutic targets for prepregnancy and early pregnancy interventions to decrease the impact of GDM on health during and after pregnancy. Methods: The Hoosier Mom’s Cohort was a prospective pregnancy cohort designed to assess for predictors of GDM. Inclusion criteria were gestational age &lt;20 weeks, a singleton pregnancy, and being at least 18 years old. Individuals with a pregestational diabetes diagnosis, HbA1c at screening of ≥6.5, or abnormal 3-hour oral glucose tolerance test before 20 weeks of gestation were excluded. Study visits with survey completion and biospecimen collection occurred, one at enrollment, and one in the early third trimester. All participants were given a Garmin activity tracker to collect objective physical activity and sleep data. Sociodemographic, medical, behavioral, and psychosocial characteristics were obtained, and obstetric outcomes were abstracted after delivery by certified chart abstractors. The primary outcome was development of GDM. Associations between categorical variables and GDM were made with Chi-square testing, and those between continuous variables and GDM were done with t-test. Results: Of 411 participants recruited into the Hoosier Moms Cohort, complete data was available for 391 (95.1%). Participants had a mean age of 30 years, a BMI of 28, and 17% were of Hispanic ethnicity. Study participants self-identified mostly as White (71%) or Black (16%). 66% of participants were nulliparous. Additionally, 54% reported a family history of diabetes, with 4% of patients also reporting a prior history of GDM. A total of 39 participants (10.0%) developed GDM. Participants who developed GDM had significantly higher BMI at study entry (31.6 ±8.5 vs 27.2 ±6.5, p=0.003), lower probability of being nulliparous (15.38% vs 33.61%, p=0.02), higher baseline HbA1c values (5.24 ±0.3 vs 5.07 ±0.3, p&lt;0.001), higher triglycerides levels (156.85 ±62 vs 134.16 ±54.5, p=0.022), and higher blood glucose values (85.90 ±14.4 vs 79.96 ±17.7, p=0.025) at first study visit. Additionally, 28% of participants who developed GDM had a prior history of GDM, compared to 2% of participants who did not (p&lt;0.0001). Those who developed GDM had higher rates of chronic hypertension (12.82% vs 1.96%, p=0.0034) and higher insomnia scores (9.62 ±5.1 vs 7.80 ±4.7, p=0.028). Conclusion/ Implications: Multiple clinical factors were found to be statistically associated with the development of GDM. These characteristics will be utilized in a comprehensive predictive model using machine learning methodologies to guide clinical decisions early in pregnancy.

The Correlation of Insomnia to Hyposalivation and Xerostomia in the Elderly: A Single Centre Study

Background: The ageing process declines body functions and disrupts circadian rhythms, resulting in insomnia. The salivary gland's functions are affected by insomnia as well. Disorders of salivary secretion, such as xerostomia and hyposalivation, are associated with low salivary function levels. Objective: This study investigates the relationship between xerostomia, hyposalivation, and insomnia in the elderly. Method: This study is analytical observational research using a cross-sectional approach. A total of ninety-one residents of Cipayung's Tresna Werdha Budi Mulia 1 nursing home were the subjects of the study. The Summated-Xerostomia Inventory (SXI-id) questionnaire was utilised to measure xerostomia, the Insomnia Severity Index (ISI) was employed to measure insomnia, and the unstimulated salivary flow rate based on the spitting method was used to measure salivation. Data analysis was conducted using Spearman's correlation test. Result: A significant linear correlation was observed between the insomnia score and unstimulated salivary flow rate (r = -0.370; p = 0.001) and between the insomnia score and the xerostomia score (r = 0.682). Conclusion: In the elderly, salivary gland secretion might be impacted by insomnia.

Associations between sleep problems in children with ADHD and parental insomnia and ADHD symptoms.

Sleep problems are common in children with attention deficit hyperactivity disorder (ADHD). Children's sleep problem may influence, and be influenced by, parents' sleep problems as well as parents' ADHD symptoms. In the current study we examined the associations of parent-rated sleep quality and sleep timing of pre-adolescent children with parental insomnia symptoms, parental ADHD symptoms and dysfunctional attitudes and beliefs about sleep in a convenience sample recruited by advertisement (N = 120). Childhood sleep problems were common in the sample, with 82% of children exceeding the threshold for the presence of a paediatric sleep disorder. Children's sleep quality showed minimal association with their sleep timing and chronotype. Parental insomnia symptoms, ADHD symptoms and dysfunctional beliefs and attitudes about sleep all associated with their children's sleep quality, and with the sleep subdomains of sleep anxiety and parasomnias. In multiple regression analysis only parental insomnia score was a significant predictor of children's sleep quality. Children's bedtimes, wake times, sleep duration, chronotype or social jetlag did not associate with parents' ADHD or insomnia symptoms. Sleep quality was significantly poorer in children whose parents scored as both consistent for adult ADHD and probable for insomnia disorder compared to parents who scored as either ADHD consistent or insomnia probable, or those who parents scored as neither. We discuss the putative nature of the relationships between sleep quality of children with ADHD and parental ADHD and insomnia symptoms, and suggest that clinicians consider parental sleep when attending to children with ADHD.

Long-term Impact of Psychological Rehabilitation on Isolated Hospitalization Patients with COVID-19: A Longitudinal Study.

This study aimed to investigate the long-term effects of a psychological rehabilitation program that was effective on anxiety, depression, and quality of sleep in hospitalized COVID-19 patients. This is longitudinal study. 13 patients in the experimental group who received a psychological rehabilitation program during hospitalization and 16 patients in the control group who received conservative treatment completed the questionnaire 6 months after discharge. Questionnaires are the Zung Self-Rating Anxiety Scale (SAS), Zung Self-Rating Depression Scale (SDS), Patient Health Questionnaire-9 (PHQ-9), Visual Analysis Scale (VAS), and the Korean version of the Insomnia Severity Index (ISI-K). The VAS for depression significantly improved in the experimental group compared with control group at discharge (E = -2.40, p < 0.001) and follow-up (E = -3.36, p < 0.001). The SDS and PHQ-9 scores significantly improved at discharge (E = -4.05, p = 0.01 and E = -2.29, p = 0.01) but not at follow-up (E = -4.64, p = 0.12 and E = -1.81, p = 0.22). There are no significant interactions for VAS for anxiety (E = -0.27, p = 0.79), SAS scores (E = -1.48, p = 0.51), and insomnia (E = -0.69, p = 0.63) scores during the follow-up. Psychological rehabilitation showed a significant long-term reduction in depression, but not in anxiety. Therefore, continuous intervention and management of mental health are required after discharge.

Correlation of insomnia with perceived stress in college students

To investigate the prevalence of insomnia in college students and analyze the correlation between insomnia and perceived stress. A cluster sampling method was used to investigate the prevalence of insomnia and stress levels in 3702 college students using Insomnia Severity Index (ISI) and Perceived Stress Scale-10 (PSS-10). Insomnia was detected in 31.4% of the college students, and the symptoms were more severe in male students (t=2.047, P=0.041) and in those with poorer family economic conditions (F=20.423, P<0.001). Insomnia was positively correlated with perceived stress, perceived distress, and perceived coping ability, with correlation coefficients of 0.42, 0.38, and 0.31, respectively (P<0.001). The students with higher levels of perceived stress had higher insomnia scores (F=203.03, P<0.001) and higher detection rate of insomnia (χ2=359.784, P<0.001), and those with moderate or severe insomnia also had higher levels of perceived stress (F=293.569, P<0.001). The types of perceived stress among college students included incontrollable (15.3%), nervous (8.3%), vulnerable (23.0%) and the relaxed types (53.5%). The incontrollable type was associated with the highest insomnia scores, followed by the nervous type and susceptible type, and the relaxed type had the lowest insomnia scores (F= 185.969, P<0.001). The prevalence rates of insomnia in students with the 4 types of perceived stress were 57.3%, 43.3%, 39.3%, and 18.7%, respectively (χ2=368.876, P<0.001). There is a close correlation between perceived stress and insomnia, and identification of the high-risk population for insomnia from the perspectives of perceived stress level and perceived stress type can facilitate the management and prevention of insomnia.

Patterns of comorbid PTSD, depression, alcohol use disorder, and insomnia symptoms in firefighters: A latent profile analysis

BackgroundFirefighters are an at-risk population for multiple psychiatric conditions, including posttraumatic stress disorder (PTSD), depression, alcohol use disorders (AUDs), and insomnia. These disorders are likely to co-occur; however, patterns of comorbidity have scarcely been investigated in firefighters. We aimed to identify subgroups of comorbidity of PTSD, depression, AUDs, and insomnia in a nationwide population of firefighters in South Korea. MethodsA total of 54,054 firefighters responded to an online survey. Latent classes of comorbidity were categorized using latent profile analysis (LPA) based on the symptom scores of PTSD, depression, AUDs, and insomnia. Analysis of variance was performed to compare the characteristics of the identified classes, and multinomial logistic regression was conducted to examine whether anger reactions, resilience, and number of traumatic events predicted class membership. ResultsThe LPA identified four subgroups: minimal symptoms (n = 42,948, 79.5 %), predominant PTSD (n = 2858, 5.3 %), subthreshold symptoms and comorbidity (n = 7003, 13.0 %), and high symptoms and comorbidity (n = 1245, 2.3 %). Three comorbidity classes were defined based on severity and one class showed predominant PTSD symptoms. Number of traumatic exposures predicted predominant PTSD, while resilience and anger reactions predicted severity of comorbidities. LimitationsThe cross-sectional design and usage of self-reported questionnaires are limitations of this study. ConclusionsThe severity of PTSD, depression, AUDs and insomnia tend to correlate and co-occur in firefighters. Our findings highlight the need to assess comorbid symptoms in firefighters and need to reduce anger reactions and enhance resilience in those with multiple comorbidities.

Beyond sleepless nights: Unraveling the complexity of alexithymia and suicide risk among university students.

There is a solid relationship between alexithymia and suicide risk. Nonetheless, the specific impact of alexithymia's distinct subscales on suicide risk has received the attention it deserves. This article presents a comprehensive exploration of suicide risk among university students, focusing on the interconnections among alexithymia, insomnia, and suicidal behavior. Three components of alexithymia including difficulties in describing emotions or feelings (DDF), difficulties in identifying emotions or feelings (DIF), and the externally oriented thinking were considered. The study involved 208 participants from a Persian university sample, examining the significance of incorporating both alexithymia and insomnia in suicide risk assessment and intervention planning. Insomnia was positioned as a pivotal mediator. A secure electronic link in the Telegram application was employed to collect the data. Both linear and nonlinear prediction models were used to explore potential associations among alexithymia, insomnia, and suicide risk. The study revealed substantial positive correlations between alexithymia and suicide risk, as well as between insomnia and suicide risk. Additionally, specific components of alexithymia exhibited noteworthy links to suicide risk. The inclusion of insomnia scores in suicide risk predictions is critical, as it greatly enhances the precision of risk assessments and facilitates the design of targeted and effective therapeutic interventions. The association between alexithymia and suicide risk showed a significant relationship (r=.29, p<.01). Moreover, a significant correlation was observed between alexithymia and insomnia (r=.32, p<.01). Additionally, insomnia exhibited a significant positive correlation with suicide (r=.35, p<.01). Interestingly, DDF and DIF showed positive correlations with suicide (r=.28, p<.01; r=.33, p<.01). The findings carry profound implications for suicide prevention efforts, providing valuable insights to safeguard the well-being and resilience of university students facing suicide risk challenges.

Prevalence and trajectories of neuropsychological post-COVID-19 symptoms in initially hospitalized patients.

To investigate the prevalence and trajectories of post-COVID-19 neuropsychological symptoms. Prospective longitudinal multicentre cohort study. A total of 205 patients initially hospitalized with SARS-CoV-2 (COVID-19). Validated questionnaires were administered at 9 months (T1) and 15 months (T2) post-hospital discharge to assess fatigue, cognitive complaints, insomnia, anxiety, depression, and post-traumatic stress symptoms. Analyses included 184 out of 205 patients. Approximately 50% experienced high cognitive complaints at T1 and T2, while severe fatigue affected 52.5% at T1 and 55.6% at T2. Clinically relevant insomnia scores were observed in 25% of patients at both time-points. Clinically relevant anxiety scores were present in 18.3% at T1 and 16.7% at T2, depression in 15.0% at T1 and 18.9% at T2, and PTSD in 12.4% at T1 and 11.8% at T2. Most symptoms remained stable, with 59.2% of patients experiencing at least 1 persistent symptom. In addition, 31.5% of patients developed delayed-onset symptoms. Post-COVID-19 cognitive complaints and fatigue are highly prevalent and often persist. A subgroup develops delayed symptoms. Emotional distress is limited. Screening can help identify most patients experiencing long-term problems. Future research should determine risk factors for persistent and delayed onset symptoms.

The Difference of Implementation Between Reflexology Massage and Combination of Exercises With Reflexology Massage for Elderly With Insomnia

Introduction: The older people have various health problem and one of them is insomnia. Physiologic changes of aging, environmental conditions, and chronic medical illnesses contribute to insomnia among elderly. Insomnia in this population is associated with decreased memory, impaired concentration, and impaired functional performance. Objective: The objective of this study was to investigate the condition of insomnia among elderly after being given combined exercise with reflexology and reflexology only before and after the intervention. Method: This research used a quasi-experimental design with pre-post design with the control group. Sampling was carried out systematically during the study period with samples was taken according to inclusion criteria. The target number of samples is set using the difference formula average. The instruments that measure Imsonia used is PIRS. Data analysis was carried out on all subjects in both groups A and B with analysis statistics measuring the difference between PIRS before and after intervention. Results: The results of the Mann-Whitney test before the intervention in group A obtained a mean rank of 16.07. Before the intervention in group B obtained a mean rank of 19.45. Statistically, it showed that the difference was not significant, p=0.33 (p&gt;0.05). The results of the Mann-Whitney test after intervention in group A had a mean rank of 22.10 and after intervention in group B had a mean rank of 14. 93. Statistically showed a significant difference, p=0.04 (p&lt;&lt;0.0) Conclusion: We found that there was a change in the condition of insomnia before and after the combination intervention (group A). The average decrease in insomnia scores for the elderly was carried out using the Pittsburg Insomnia Rating Scale (PIRS) questionnaire&gt; However, there was no change in the condition of insomnia. statistically significant. Likewise, in group B, the average insomnia score decreased and was statistically significant