Higher Risk Of Insomnia Research Articles

Exploring Sleep Duration and Insomnia Among Prospective University Students: A Study with Geographical Data and Machine Learning Techniques.

Sleep disruptions among prospective university students are increasingly recognized for their potential ramifications on academic achievement and psychological well-being. But, information regarding sleep issues among students preparing for university entrance exams is unknown. Thus, this study aimed to investigate the prevalence and factors associated with sleep duration and insomnia among university entrance test-takers in Bangladesh, utilizing both traditional statistical analyses and advanced geographic information system and machine learning techniques for enhanced predictive capability. A cross-sectional study was conducted in June 2023 among 1496 entrance test-takers at Jahangirnagar University, Dhaka. Structured questionnaires collected data on demographics, academic information, and mental health assessments. Statistical analyses, including chi-square tests and logistic regression, were performed using SPSS, while machine learning models were applied using Python and Google Colab. Approximately 62.9% of participants reported abnormal sleep duration (<7 hours/night or >9 hours/night), with 25.5% experiencing insomnia. Females and those dissatisfied with mock tests were more likely to report abnormal sleep duration, while repeat test-takers, those with unsatisfactory mock test results, or anxiety symptoms had a higher risk of insomnia. Machine learning identified satisfaction with previous mock tests as the most significant predictor of sleep disturbances, while higher secondary school certificate GPA had the least influence. The CatBoost model achieved maximum accuracy rates of 61.27% and 73.46%, respectively, for predicting sleep duration and insomnia, with low log loss values indicating robust predictive performance. Geographic analysis revealed regional variations in sleep disturbances, with higher insomnia prevalence in some southern districts and abnormal sleep duration in northern and eastern districts. Sleep disturbances are prevalent among prospective university students and are associated with various factors including gender, test-taking status, mock test satisfaction, and anxiety. Targeted interventions, including sleep education and psychological support, hold promise in ameliorating sleep health and overall well-being among students, potentially enhancing entrance test performance.

Association Between Telecommuting Preference-Frequency Mismatch and Insomnia Among Japanese Workers in the COVID-19 Pandemic: A Prospective Cohort Study.

We hypothesized that telecommuting's impact on sleep varied based on preference-frequency mismatch. Here, we evaluated this relationship in a large cohort of Japanese workers. We collected data from 33,302 Japanese workers through an online survey and analyzed participant preferences and frequency of telecommuting in 9425 individuals who responded to a follow-up survey. We evaluated sleep using the Athens Insomnia Scale and estimated odds ratios of insomnia using multilevel logistic regression. Workers preferring telecommuting had a higher risk of insomnia as telecommuting frequency decreased. OR for insomnia was 1.87 ( P < 0.001) in those who telecommuted less than once per week. Telecommuting's impact on workers' sleep depends on preference mismatch, with a higher risk of insomnia among those who prefer telecommuting but are unable to utilize it.

Age-specific disparity in insomnia among COVID-19 patients in Fangcang shelter hospitals: a population-based study in Shanghai, China.

Fangcang shelter hospitals are quarantine facilities offering primary medical treatment for mild and asymptomatic SARS-CoV-2 cases. Little is known about the age-specific prevalence of insomnia among patients in Fangcang shelter hospitals, particularly in older age groups. This cross-sectional study was conducted in the three largest Fangcang shelter hospitals during the lockdown period, from March to May 2022, in Shanghai. The patients' demographic and medical information was recorded. Insomnia was defined according to the prescriptions for zolpidem and estazolam. The overall and age-specific prevalence and the risk factors of insomnia were investigated through regression models. A total of 2,39,448 patients were included in this study (59.09% of the patients were male, the median age was 42, and 73.41% of the patients were asymptomatic), with the prevalence of insomnia being 3.1%. The prevalence of insomnia varied across different age groups (<18 years: 0.23%, 18-64 years: 2.64%, and ≥65 years: 10.36%). SARS-CoV-2 vaccine, regardless of the number of doses, was significantly associated with a decreased risk of insomnia for the group aged ≥65 years. Three doses of the vaccine reduced the risk of insomnia for patients aged 18-64 years. An extra day in the hospital significantly increased the risk of insomnia by approximately 10% for all age groups. Mild symptoms were significantly associated with a higher risk of insomnia among patients aged <65 years old, while being male and residing in the surrounding area were negatively associated with insomnia for all adults. This study observed that older patients were a high-risk population for developing insomnia in Fangcang shelter hospitals. SARS-CoV-2 vaccination might decrease the risk of insomnia in adults, especially the older adult, which indicates the benefits of vaccination for reducing insomnia among infected patients.

Links between Sleep Apnoea and Insomnia in a British Cohort.

Poor sleep is a major public health problem with implications for a wide range of critical health outcomes. Insomnia and sleep apnoea are the two most common causes of poor sleep, and recent studies have shown that these disorders frequently co-occur. Comorbid insomnia and sleep apnoea can substantially impair quality of life and increase the overall risk of mortality. However, the causal and physiological links between sleep apnoea and insomnia are unclear. It is also unknown whether having a higher risk for one condition can increase the risk of developing the other. Here, we investigated links between sleep apnoea and insomnia in a British population using a combination of self-reported questionnaires and causal inference. We found that 54.3% of the cohort had moderate insomnia, 9.4% had moderate sleep apnoea, and that 6.2% scored high for both conditions. Importantly, having a higher risk of sleep apnoea was associated with a higher risk of insomnia and vice versa. To determine the causal directionality between sleep apnoea and insomnia, we used Mendelian randomisation and found evidence that sleep apnoea could cause insomnia, but not the reverse. To elucidate how both sleep apnoea and insomnia were linked to each other, we looked at the behavioural markers of poor sleep. We found that feeling fatigued after sleeping and having noticeable sleep problems were linked to a higher burden of both sleep apnoea and insomnia. In conclusion, our results show that sleep apnoea increases the risk of developing insomnia, and both conditions can result in fatigue. We highlight the importance of considering and treating the symptoms of both conditions.

Association between dietary habits and the risk of migraine: a Mendelian randomization study.

The important contribution of dietary triggers to migraine pathogenesis has been recognized. However, the potential causal roles of many dietary habits on the risk of migraine in the whole population are still under debate. The objective of this study was to determine the potential causal association between dietary habits and the risk of migraine (and its subtypes) development, as well as the possible mediator roles of migraine risk factors. Based on summary statistics from large-scale genome-wide association studies, we conducted two-sample Mendelian randomization (MR) and bidirectional MR to investigate the potential causal associations between 83 dietary habits and migraine and its subtypes, and network MR was performed to explore the possible mediator roles of 8 migraine risk factors. After correcting for multiple testing, we found evidence for associations of genetically predicted coffee, cheese, oily fish, alcohol (red wine), raw vegetables, muesli, and wholemeal/wholegrain bread intake with decreased risk of migraine, those odds ratios ranged from 0.78 (95% CI: 0.63-0.95) for overall cheese intake to 0.61 (95% CI: 0.47-0.80) for drinks usually with meals among current drinkers (yes + it varies vs. no); while white bread, cornflakes/frosties, and poultry intake were positively associated with the risk of migraine. Additionally, genetic liability to white bread, wholemeal/wholegrain bread, muesli, alcohol (red wine), cheese, and oily fish intake were associated with a higher risk of insomnia and (or) major depression disorder (MDD), each of them may act as a mediator in the pathway from several dietary habits to migraine. Finally, we found evidence of a negative association between genetically predicted migraine and drinking types, and positive association between migraine and cups of tea per day. Our study provides evidence about association between dietary habits and the risk of migraine and demonstrates that some associations are partly mediated through one or both insomnia and MDD. These results provide new insights for further nutritional interventions for migraine prevention.

Nicotine use and non-pathological alcohol use and their relationship to affective symptoms and sleep disturbances in bipolar disorder

BackgroundThe use of alcohol and nicotine can negatively impact the course of bipolar disorder (BD), but there is limited knowledge about how symptoms and sleep disturbances are related to concurrent nicotine use and non-pathological use of alcohol. MethodsWe investigated how nicotine use and non-pathological use of alcohol relates to affective symptoms and sleep disturbances in 453 participants with BD without substance use disorders. Manic symptoms were assessed with the Young Mania Rating Scale, and depressive symptoms with The Inventory of Depressive Symptomatology, Clinician-Rated (IDS-C). Sleep-related questions from IDS-C were used to create proxy variables for sleep disturbances, including Insomnia and Hypersomnia. Multinomial regression analysis was conducted to investigate the associations between nicotine use and sleep disturbances, controlling for possible confounders such as current use of illicit drugs and psychopharmacological treatment. ResultsDepressive and manic symptoms were not associated with the concurrent level of alcohol or nicotine use. Individuals with medium and high levels of daily nicotine use had higher risk of insomnia than those without. Non-pathological alcohol use was not associated with sleep disturbances. LimitationsSleep disturbances were based on items from the IDS-C questionnaire. ConclusionWe found an elevated risk for insomnia in individuals with BD and medium or high levels of daily nicotine use. We found no association between the level of affective symptoms and the level of use of alcohol or nicotine. The direction of the relationship between nicotine use and insomnia needs clarification, as it is highly relevant for treatment planning.

Insomnia and related factors in patients with pre-existing psychiatric disorders compared to the general population during the COVID-19 lockdown: Findings from the multicentric COMET study

BackgroundThe COVID-19 pandemic has heavily impacted social, economic and health systems worldwide. Necessary confinement measures have, in turn, contributed to the occurrence of several stress-related conditions and deterioration of pre-existing mental conditions, including insomnia. ObjectiveThe present study sought to investigate the occurrence and severity of insomnia during the COVID-19 lockdown among psychiatric patients and in the general population in the largest Italian sample examined to date. Potential factors associated with a risk of developing insomnia in the global sample were examined as well. MethodsA sample of 20,720 people (5.5% of them being psychiatric patients) was assessed through an online survey conducted during lockdown between March and May 2020. To investigate the occurrence and severity of sleep related issues, the Insomnia Severity Index (ISI) was used. In order to evaluate factors associated with the severity of insomnia in the global sample, multivariate linear regression models were performed. ResultsDuring the lockdown, patients with pre-existing mental disorders reported a mean higher score on the ISI scale (p < 0.001) compared to the general population. According to the multivariate regression models, the first three weeks of lockdown were significantly associated with a higher risk of insomnia, but the risk disappeared in the fourth week. Other associated factors included: the presence of a pre-existing mental disorder, ages 24 to 64 years old, and/or being female (p < 0.001). ConclusionsAlthough containment measures represent essential public health strategies to avoid the spread of the COVID-19 pandemic, sleep was one of the aspects affected during the early stages of the lockdown in both people with pre-existing mental disorders and general population. As an integral part of COVID-19 intervention, it is useful to raise awareness about these issues and to adopt both preventive and therapeutic interventions.

Assessing the causal associations of insomnia with depressive symptoms and subjective well-being: a bidirectional Mendelian randomization study

BackgroundThe interactions and associations between insomnia, depressive symptoms, and subjective well-being are complex, thus it is hard to explore the effect and direction of causalities. This bidirectional Mendelian randomization (MR) study was to assess the causal associations of insomnia with depressive symptoms and subjective well-being. MethodsSummary statistics for insomnia, depressive symptoms, and subjective well-being were obtained from three large-scale genome-wide association studies (GWAS) of European ancestry. MR analyses were mainly conducted with the inverse-variance-weighted (IVW) method. The weighted-median method, MR-Egger method, and MR-Pleiotropy RESidual Sum and Outlier (PRESSO) test were adopted to test whether the estimates were robust. The adjusted MR analysis was performed to avoid the effect of potential pleiotropy. ResultsThere was evidence to support a causal association between genetically predicted insomnia and depressive symptoms (beta (β) = 0.086, 95% confidence interval (CI) = 0.068 to 0.104, P = 8.6E-21). Meanwhile, genetically predicted depressive symptoms was associated with a higher risk of insomnia (β = 0.543, 95% CI = 0.331 to 0.754, P = 4.8E-07). Genetically predicted insomnia was negatively associated with subjective well-being (β = −0.043, 95% CI = −0.063 to −0.024, P = 1.2E-05). There was evidence of reverse causality between insomnia and subjective well-being (β = −0.821, 95% CI = −1.012 to −0.630, P = 4.0E-17). ConclusionsMR analysis indicates bidirectional causal associations of insomnia with depressive symptoms and subjective well-being. People should give serious attention to and attempt to resolve the problems of insomnia, depressive symptoms, and subjective well-being, whichever comes first.

Sleep disorders and related factors among frontline medical staff supporting Wuhan during the COVID-19 outbreak.

Sleep problems among frontline medical staff during the COVID-19 epidemic require attention. A total of 249 frontline medical staff who were recruited to support Wuhan completed this cross-sectional study. A web-based questionnaire about insomnia, depression, anxiety, and fatigue was used to assess mental health status. The prevalence of sleep disorders among frontline medical staff was 50.6%. More time spent in Wuhan and a history of insomnia, depression, anxiety, and fatigue were associated with a higher risk of insomnia. People who stayed in Wuhan for a long time with a history of insomnia, depression, anxiety, and fatigue symptoms might be at high risk of insomnia.

Sleep disorders and related factors among frontline medical staff supporting Wuhan during the COVID-19 outbreak.

Sleep problems among frontline medical staff during the COVID-19 epidemic require attention. A total of 249 frontline medical staff who were recruited to support Wuhan completed this cross-sectional study. A web-based questionnaire about insomnia, depression, anxiety, and fatigue was used to assess mental health status. The prevalence of sleep disorders among frontline medical staff was 50.6%. More time spent in Wuhan and a history of insomnia, depression, anxiety, and fatigue were associated with a higher risk of insomnia. People who stayed in Wuhan for a long time with a history of insomnia, depression, anxiety, and fatigue symptoms might be at high risk of insomnia.

Explosive ordnance disposal personnel in the U.S. military have higher risk of insomnia and post-traumatic stress disorder: a large retrospective cohort study

Purpose: We examined the risk of post-traumatic stress disorder (PTSD), affective disorders, alcohol/substance-related disorders, traumatic brain injury (TBI) and insomnia, among explosive ordnance disposal (EOD) technicians compared to the general population of active-duty non-EOD personnel in the U.S. military.Methods: We conducted a retrospective cohort study using administrative and healthcare utilization data from fiscal year 2004 (FY2004) to FY2015 for this comparison. We used propensity score matching to balance baseline covariates, and discrete-time hazard models to compare the odds of occurrence of the outcomes.Results: EOD personnel had higher odds of having a new diagnosis of insomnia (odds ratio [OR] = 1.33; 95% confidence interval [CI]:1.22–1.45) and PTSD (OR = 1.23; 95% CI:1.08–1.41) than did non-EOD personnel. EOD technicians had lower odds of having a new diagnosis of affective disorders (OR = 0.83; 95% CI:0.79–0.87) and alcohol/substance-related disorders (OR = 0.59; 95% CI:0.54–0.64) than did non-EOD personnel. There was little evidence of a difference in the odds of a TBI diagnosis (OR = 1.07; 95% CI:0.99–1.16).Conclusions: As reliance on EOD forces continues, ongoing vigilance of the stressors, health sequelae and disincentives to access mental health care among this military occupation should be monitored and mitigated wherever possible.

Worry and insomnia as risk factors for depression during initial stages of COVID-19 pandemic in India.

The biggest nationwide COVID-19 pandemic lockdown worldwide was enforced in India for an initial period of 21-days. Emerging evidence suggests that pandemic situations and associated lockdowns have an adverse impact on sleep and mental health. However, prediction of sleep health from sociodemographic characteristics and the public’s worry during the initial stages of the COVID-19 pandemic has not been extensively explored so far. It’s also unclear whether sleep outcomes mediate the association between worry and mental health during pandemic situations. A web-survey (N = 391) on sociodemographic characteristics, COVID-19 related worry, sleep health (insomnia and daytime sleepiness), and depression was conducted during the initial 21-days of the COVID-19 stringent lockdown in India. Multiple regression analyses showed that variables, including sex, age, income level, and worry score, contributed to the significant regression equation for insomnia but not for daytime sleepiness. Specifically, the female, younger, lower income, and highly worried populations contributed significantly more than the male, elderly, higher income, and less worried populations, respectively, to the prediction of insomnia. Mediation analyses showed that insomnia, but not daytime sleepiness, fully mediated the relationship between worry score and severity of depressive symptoms. We provide evidence that the female, younger, lower income, and worried populations may be at higher risk for insomnia during pandemic situations. Current evidence gives hope that improving sleep may reduce depressive symptoms during a pandemic situation. This underscores the importance of the implementation of effective public health policies in conjunction with strategical responses to the COVID-19 pandemic.

Sleep Disorders in Human Immunodeficiency Virus: A Substudy of the Pharmacokinetics and Clinical Observations in People Over Fifty (POPPY) Study.

Self-reported sleep quality is poor in persons with human immunodeficiency virus (PWH), but prior studies commonly used nonspecific questionnaires, investigated only single sleep disorders, or lacked human immunodeficiency virus (HIV)-negative controls. We addressed these limitations in the Pharmacokinetics and Clinical Observations in People Over Fifty (POPPY) Sleep Substudy by assessing PWH and HIV-negative controls for insomnia, restless legs syndrome (RLS), and sleep apnea (SA). Previously enrolled POPPY participants coenrolled in this substudy without regard to sleep symptoms. Participants completed validated sleep assessments including the Insomnia Severity Index questionnaire, International Restless Legs Syndrome Study Group questionnaire, and in-home, wrist-worn overnight oximetry. They also completed health-related quality of life questionnaires including 36-item Short Form (SF-36) and Patient-Reported Outcomes Measurement Information System (PROMIS) sleep questionnaires. We enrolled 357 PWH (246 >50 years of age; 111 between 18 and 50 years) and 126 HIV-negative controls >50 years of age. Among PWH, criteria were met by 21% for insomnia, 13% for RLS, and 6% for SA. Compared with HIV-negative controls, PWH had a higher risk of insomnia (adjusted odds ratio, 5.3; 95% confidence interval, 2.2-12.9) but not RLS or SA. Compared with PWH without insomnia, those with insomnia reported significantly worse scores on all SF-36 and PROMIS components; fewer than 30% reported previous diagnosis or treatment for insomnia. Insomnia was more common in PWH, associated with worse health-related quality of life, and frequently undiagnosed. Further research should focus on the pathogenesis of insomnia in PWH and the development of effective screening and intervention strategies for this unique population.

The association between sleep pathology and depression: A cross-sectional study among adults in Greece

A cross-sectional population based study was conducted in order to evaluate the potential association of sleep characteristics with depression using self-reported questionnaires and taking into account several socio-demographic, lifestyle and health related characteristics. 957 participants aged between 19 and 86 years old were enrolled in our study. Depression symptoms were assessed using the Beck Depression Inventory. Participants self-reported their daily sleep habits and filled in the Epworth Sleepiness Scale, Athens Insomnia Scale, Pittsburgh Sleep Quality Index and Berlin Questionnaire. Overall prevalence of depression was 28.4%. Depression symptoms were more prominent among minority groups. Subjects with depression reported shorter sleep duration and had reduced sleep efficiency. In patients with depression mean sleep duration was reduced by 23 min and mean sleep efficiency by 4%. Patients with depression were at higher risk of insomnia, poor sleep quality and obstructive sleep apnea, but not of excessive daytime sleepiness. Concerning insomnia subtypes, depression was associated with difficulties maintaining sleep and early morning awakening, but not problems initiating sleep. Sleep disturbances are highly prevalent in depression and our findings support early pharmacological or cognitive behavioral interventions in order to address this key depression-associated symptom. Only addressing problems initiating sleep might not be sufficient in depression.

The effect of occupational stress on depression and insomnia: a cross-sectional study among employees in a Ghanaian telecommunication company

BackgroundDepression and insomnia are major psychiatric conditions predicted by occupational stress. However, the influence of occupational stress on these two conditions is under-explored in telecommunication companies, especially in Africa. This research was conducted to assess occupational stress in a Ghanaian telecommunication company and its effect on depression and insomnia.MethodsAn analytical cross-sectional study was conducted among employees at a telecommunication company in Accra. Structured self-administered questionnaires were used in collecting data from 235 respondents using simple random sampling. The Chi-square test of independence and Wilcoxon Rank-Sum test were employed to assess the significance of associations with subsequent sensitivity analysis using Multiple logistic, Poisson and Probit regression models. Occupational stress was matched on four variables: age of the workers, marital status, responsibility for dependents and work experience, to improve on the estimation of its impact on symptomatic depression and insomnia using the coarsened exact matching procedure.ResultsMore males (52.8%) than females participated in this study. The age range for study participants was 20–49 years with a mean of 30.8 ± 6.9 years. The prevalence of excessive occupational stress reported by the employees was 32.8% (95% CI = 26.7–38.8). More than half of respondents (51%) reported depressive symptoms in the past week and only a few (6%) reported being diagnosed with insomnia in the past year. Age, responsibility for dependents and work experience were the only background characteristics that were significantly associated with excessive occupational stress. After controlling for background characteristics, the estimated risk of reporting symptoms of depression among employees who reported excessive stress from work was only 5% higher [ARR; 95% CI = 1.05 (0.94–1.17)] whereas it was 2.58 times the risk of reporting insomnia [ARR; 95% CI = 2.58(0.83–8.00)] compared to those who did not report excessive stress from their jobs. The relative risk reduced to 2.46[ARR; 95% CI = 2.46(0.77–7.87)] and 1.03[ARR; 95% CI = 1.03(0.91–1.17)] for insomnia and depression respectively after employing Poisson regression with CEM.ConclusionThe study found a higher risk of insomnia among employees who reported excessive occupational stress compared to those who did not. However, this study did not find a statistically significant relationship between depression and occupational stress.

Insomnia symptoms in relation to menopause among middle-aged Chinese women: Findings from a longitudinal cohort study

ObjectiveOur study aims to investigate the differences in insomnia between Chinese and Western women during menopause to fill the gaps in the research on menopause in Chinese women, and to examine the premenopausal factors predictive of moderate to severe insomnia during menopause. Study DesignThis is a longitudinal cohort study conducted in an urban Chinese community with a total of 458 participants. Main Outcome MeasuresPresence of insomnia symptoms (trouble falling asleep, waking up early); vasomotor symptoms; anxiety and depression assessed by the Hospital Anxiety and Depression Scale; and menopausal stages. ResultsMultivariable analysis showed that compared with that in premenopause, the prevalence of trouble falling asleep was significantly higher in menopausal transition (P = 0.029) and postmenopause (P < 0.001), and the prevalence of early-morning awakenings also significantly increased in menopausal transition (P = 0.003) and postmenopause (P = 0.011). In multivariable analysis anxiety (P = 0.022) and depression (P = 0.005) were independently and significantly positively associated with trouble falling asleep. Anxiety (P < 0.001), depression (P = 0.018), and levels of follicle stimulating hormone (P-0.031) were independently and significantly positively associated with trouble falling asleep. Women who experienced insomnia in premenopause had a significantly higher risk of moderate to severe insomnia in menopausal transition (P = 0.003) and postmenopause (P = 0.047) than those who did not. ConclusionThis study showed that the prevalence of sleep disturbance significantly increased during and after menopause. Women with anxiety and depression had a higher risk of insomnia. Difficulty in sleep initiation in the premenopausal period was a strong predictor of moderate to severe insomnia at menopausal transition and postmenopause.

Prevalence of Sleep Disorders among Staff Workers at a Tertiary Health Care Center

Background: Due to a demanding modern work style, many people sacrifice sleep by intentionally or unintentionally decreasing the number of sleeping hours or by overlooking their sleep disorders. This study aimed to screen university hospital workers in Saudi Arabia for sleep disorders and estimate their prevalence using a cross-sectional study conducted in 2016.&#x0D; Methods: This study used the Pittsburgh Sleep Quality Index, International Restless Legs Syndrome Study Group diagnostic criteria, Epworth Sleepiness Scale, Berlin Questionnaire, and SLEEP-50 Questionnaire. 116 participants were interviewed (56% males; mean age, 30.9 years (SD: 8.5; range: 21 to 58); mean body mass index, 25.79 (SD: 6.10); 40.5% classified as overweight or obese).&#x0D; Results: Only 6.9% reported good sleep quality. Insomnia was the most common sleep disorder (72%); sleepwalking was the least common disorder (5%). Women had a higher risk of insomnia, nightmares and circadian rhythm disorders (P = 0.024, 0.015, and 0.009, respectively). A strong relationship between smoking and insomnia was found (P = 0.04).&#x0D; Conclusion: The population had much lower sleep quality than other populations. The bidirectional relationship between insomnia and smoking presents an opportunity and emphasizes the need for insomnia management to decrease health and economic burdens.

Outcomes of Subjective Sleep-Wake Disturbances Twenty Years after Traumatic Brain Injury in Childhood.

Sleep-wake disturbances (SWD) are frequent following traumatic brain injury (TBI) in childhood. However, outcomes of SWD following transition into young adulthood remain unknown. This study investigated prevalence and factors associated with subjective sleep quality, insomnia, and excessive daytime sleepiness in young adults with a history of childhood TBI. Participants included 54 young adults with mild (n = 14), moderate (n = 27), and severe (n = 13) TBI (age: mean = 27.7, SD = 3.3), and 13 typically developing controls (TDC) (age: mean = 25.9, SD = 2.2). SWD were assessed using the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and Epworth Sleepiness Scale (ESS). Compared with TDC, young adults with TBI reported a trend toward poorer sleep quality (F[1, 63] = 3.85, p = 0.054, η2 = 0.06), with a higher risk in participants after moderate TBI (mean = 2.40, SD = 0.56) than after severe TBI (mean = 1.89, SD = 0.62: p = 0.015). However, the groups did not differ on symptoms of insomnia and excessive daytime sleepiness, and SWD were less frequent after severe TBI at 20 years post-injury. Poor sleep quality in young adults with TBI was associated with high levels of anxiety and pain, and pain was also associated with higher risk of insomnia and excessive daytime sleepiness. Our findings indicate that sustaining TBI in childhood can increase risk of SWD in young adulthood, particularly following moderate TBI. Routine assessments and treatment of SWD, as well as anxiety and pain in children with TBI, should therefore continue into adulthood.

Associations between TV viewing, sitting time, physical activity and insomnia among 100,839 Brazilian adolescents

Our aim was to examine the relationship between insomnia and levels of physical activity (PA) and time spent sitting and TV viewing among Brazilian adolescents. Data from the Brazilian Scholar Health Survey, a nationally representative survey of 9th grade adolescents [mean: 14.28 years (range: 11–18 years)] conducted in 2015 (n = 100,839) were used. Self-reported insomnia, TV viewing, sitting time and total PA (adapted International PA Questionnaire) were collected. Chronological age, race, type of city (capital or interior) country region, goodies ingestion and ultra-processed foods ingestion were covariates. Logistic regression analyses were conducted to assess the associations. A higher sitting time and TV viewing (≥8 h/day) was associated with a higher risk of insomnia among boys [sitting time: OR = 2.39 (95%CI = 1.88–3.04); TV:OR = 2.49(95%CI = 1.92–3.22) and girls [sitting time: OR = 2.17(95%CI = 1.84–2.57; TV:OR = 1.72(95%CI = 1.44–2.04)]. More than 4 h of sitting time per day was associated with higher risk of insomnia in adolescents who comply [boys: OR = 1.43(95%CI = 1.19–1.73); girls: OR = 1.66(95%CI = 1.41–1.94)] and who do not comply with the 300 min/week of physical activity recommendation [boys = OR = 1.35(95%CI = 1.13–1.60); girls: OR = 1.38(95%CI = 1.20–1.57)]. Our data suggest that higher levels of TV viewing or sitting are associated with sleep difficulties in this large cohort of adolescents, irrespective of their physical activity behavior.

Prevalence, correlates and outcomes of insomnia in patients with first episode psychosis from a tertiary psychiatric institution in Singapore.

The study aimed to evaluate the prevalence of insomnia in patients with first episode psychosis (FEP) and to explore the relationship between insomnia and socio-demographic and clinical variables as well as quality of life (QOL) and functioning in Singapore. Data on sleep, smoking, alcohol habits, QOL and socio-demographics were collected from 280 FEP patients who were enrolled in the Early Psychosis Intervention Programme (EPIP) within 3months of joining the programme. Multiple logistic regression analyses were performed to determine the socio-demographic and clinical correlates of insomnia. The association of insomnia with QOL as well as functioning was examined using multiple linear regression analyses. The prevalence of clinical insomnia was 22.6%. Older age and higher dosage of antipsychotic medication were significantly associated with a lower risk of insomnia while hazardous alcohol use, current smoking and a longer duration of untreated psychosis were significantly associated with a higher risk of insomnia. Insomnia was associated with significant decreases in all QOL domains assessed in the study even after adjusting for confounders. FEP patients with insomnia must be screened for hazardous alcohol use and smoking. Patients must be referred concurrently for treatment of insomnia, smoking cessation as well as brief intervention for hazardous alcohol use when needed.