Predictors Of Insomnia Research Articles

Investigation of screening questions to identify insomnia in cancer patients

The high prevalence of insomnia in cancer patients leads to a significant reduction in the quality of life of those affected. A detailed record of symptoms therefore plays an essential role for further course of treatment. Which screening instruments enable identification of cancer patients with insomnia is the subject of this single-arm nonrandomized study. During the data collection period, cancer patients meeting the following criteria: self-reported tiredness and/or trouble falling or staying asleep or sleeping too much in an electronic patient-reported outcome measurement were enrolled. For further analysis, focus was placed on the Patient Health Questionnaire Depression Scale (PHQ-8), the Minimal Documentation System (MIDOS2) and the Insomnia Severity Index (ISI). Frequency, correlation, and variance analyses were conducted to identify likely predictors of insomnia. Our findings indicate a closer correlation between the screening question pertaining to sleep disorders and the ISI, compared to the question on tiredness and the ISI. The initial recording of sleep-related parameters plays an essential role for cancer patients in order to identify and treat modifiable factors as promptly as possible. For an initial assessment, we recommend asking about trouble falling or staying asleep or sleeping too much.

Predictors of Insomnia and Sleep Abnormalities in Medical Students and Its Impact on Academic Performance

Abstract Objectives: This study aims to investigate predictors of insomnia and their prevalence among medical students from different levels, as well as the impact of insomnia on academic performance. Methods: This multicenter cross-sectional study was conducted on medical students of different levels at 37 medical colleges in Saudi Arabia from March 2020 to June 2020. An online survey was used for data collection. The survey included questions on the demographics of students and two scales: the Insomnia Severity Index (ISI) and the Pittsburgh Sleep Quality Index (PSQI). The Statistical Package for the Social Sciences Program was used to analyze the data, and demographics were represented using descriptive statistics. Associations were tested using either the Chi-square test, Pearson correlation, or Spearman’s correlation based on the types of variables. P <0.05 was considered significant. Results: The study included 2413 medical students; the mean ± standard deviation of the ISI and PSQI was 11.6 ± 6.2 and 8.4 ± 3.7, respectively. The ISI results showed that only 27% had no clinical insomnia, while 39% had subthreshold insomnia. The ISI was negatively and significantly associated with exercise (r = −0.49, P = 0.016), meals (r = −0.088, P = 0.0001), and drinking water (r = −0.057, P = 0.005). The negative predictors of poor sleep quality included study year (B = −0.106, P < 0.05) and water intake (B = −0.568, P < 0.01). Conclusion: A few proportions of medical students complained of moderate insomnia, and a lower proportion suffered severe insomnia. Lower academic performance was associated with insomnia and poor sleep quality. Various predictors of insomnia were identified; however, these predictors can be modified.

The Effect of Shift Work on Sleep Patterns of Paramedics in Saudi Arabia.

Shift work poses significant sleep health challenges for paramedics, affecting their ability to respond effectively in emergencies. This study aimed to evaluate the impact of shift work on sleep parameters among paramedics in Saudi Arabia, identifying key factors influencing insomnia. A cross-sectional, online survey was conducted, gathering data on sociodemographic characteristics, work-related factors, sleep duration, and insomnia among paramedics in Saudi Arabia. The Athens Insomnia Scale was used to define insomnia. The association between shift work and sleep parameters was examined. Predictors of insomnia were identified through logistic regression models by inspecting the adjusted odds ratio (aOR). 1076 Saudi paramedics were included, most of whom were 26-35 years old, males, married, had a Bachelor's degree, worked in hospital-based settings for private agencies in rural areas, and had 6-10 years of experience. Occupational stress was reported by 52.96% of paramedics. All shift work characteristics (working hours, number of shifts, work schedule, and off-work days) were significantly associated with insomnia (p=0.0001). The multivariate regression revealed that work setting (aOR=18.71, p=0.02), coffee consumption (aOR=36.83, p=0.01), work schedule (aOR=21.93, p=0.01), and time to bed (aOR=0.01, p=0.01), sleep duration (aOR=0.03, p=0.03), and occupation stress (aOR=9.31, p=0.001) were predictors for insomnia. Our findings underscores the need for targeted interventions to mitigate the adverse effects of shift work on sleep health among paramedics.

Psychological inflexibility as a predictor associated with insomnia.

Psychological flexibility has recently attracted the attention of researchers in the field of sleep disorders; therefore, in the study, psychological flexibility was evaluated as a predictor or factor related to the presence/severity of insomnia. We included 2218 individuals selected from the randomized-control trial for behavioural therapy for insomnia and cross-sectional studies, including 1797 individuals with insomnia and 421 controls without insomnia. All participants completed the DSM-5-based insomnia diagnosis interview, Insomnia Severity Index, Hospital Anxiety and Depression Scale, and Acceptance Action Questionnaire-II. Linear regression and multinomial logistic regression models were used. Sex, education, occupation, marital status, anxiety, depression and psychological inflexibility were possible predictors or factors associated with the severity of insomnia. Multivariate linear regression analysis demonstrated that sex (𝛽 = 0.88; t = 2.80; p = 0.005), depression (𝛽 = 0.41; t = 10.7; p < 0.001), anxiety (𝛽 = 0.58; t = 14.1; p < 0.001) and psychological inflexibility (𝛽 = 0.09; t = 5.07; p < 0.001) were predictors of insomnia. The results of the multinomial logistic regression demonstrate that, in comparison to the absence of insomnia, insomnia at all levels (mild, moderate and severe) was associated with sex, anxiety and depression. Psychological inflexibility was only associated with severe insomnia (odds ratio = 1.04). These findings are important from a public health perspective because behavioural strategies designed to treat insomnia with a focus on psychological flexibility are low-cost and may help improve sleep quality in adults with insomnia, which also influences mental health.

Three measures of internet use, social media use and video game playing as predictors of insomnia during the pandemic among students

Existing research indicates that the relationship between digital technology use and insomnia can largely depend on which digital technology measure and which insomnia measure is considered. Data on 4261 Slovenian tertiary students was gathered through an online survey in February 2021, which included measures of depression and insomnia symptoms, as well as measures of internet, social media and video game use divided into three measurement levels (use, duration of use, addictive use). Regression analysis revealed an apparent effect of measurement level, where addictive use measures consistently outperformed other technology use measures in predicting insomnia. Regardless of measurement level, social media use seems to produce more risk for insomnia, compared to playing video games or general internet use for leisure purposes. Importantly, a single measure of depression symptoms explained more variance in insomnia than the nine measures of digital technology use combined, meaning that the effect of digital technology on sleep should not be overstated. Most of the effect of social media use on insomnia may in fact be explained by understanding users' depression symptoms. In case of gaming, a larger part of its effect on insomnia is independent of depression symptoms.

Prevalence and predictors of insomnia and its treatment-seeking among older adults in India

BackgroundInsomnia is a serious health problem among older adults and, if untreated, is linked to a high morbidity rate and decreased quality of life. There is limited empirical evidence on Insomnia and its treatment-seeking exclusively among older adults (60 plus years) using representative data in India. This study assesses the prevalence and predictors of Insomnia and its treatment-seeking among older adults.MethodsData gathered through the nationally-representative Longitudinal Ageing Study in India (LASI); Wave 1 (2017-18) was used for the analysis. Specifically, information from older adults aged 60 and above for whom complete information on insomnia was available (n- 31,464) was considered for the analysis. Binary logistic regression was used to check the adjusted effects of insomnia’s socio-demographic and economic predictors and its treatment-seeking status. Stata was used for the data analysis with a 5% significance level.Results37% of older adults had insomnia. Increasing age, female gender, living without a spouse, illiteracy, chronic health conditions, nutritionally underweight, physically inactive status, lack of exposure to mass media, Hindu religion, non-tribal status, and rural residence were significantly associated with insomnia. 3% of older adults sought treatment for insomnia. Not seeking treatment for insomnia was associated with male gender, exposure to mass media, physical activity, lack of chronic health issues, tribal status, living in a rural area, and being economically disadvantaged.ConclusionsA sizable number of older adults have insomnia, and the prevalence varies by their socioeconomic, demographic, and health status. Many modifiable risk factors like low education, chronic health conditions, smoking, being underweight, physical inactivity, and lack of exposure to mass media are identified. Treatment-seeking for Insomnia is further inadequate, enhancing the older adult’s vulnerability to various morbidities. Policy and program intervention to raise awareness about insomnia, including early identification and pharmacological and non-pharmacological treatment, will ensure better health and welfare of older adults. Estimations are based on self-report questionnaires; therefore, the possibility of recall bias and under-reporting cannot be ignored. Moreover, the estimation of insomnia may vary depending on various clinical definitions. However, a large sample size from a recent nationally representative survey with a robust sampling design is the strength of this study.

Predictors of insomnia among undergraduate students at Hawassa University Sidama, Ethiopia, 2023: a facility-based cross-sectional study.

Insomnia is a sleep disorder characterized by difficulty falling asleep, staying asleep, or experiencing poor-quality sleep. People with this problem often have trouble falling asleep at night, wake up frequently during the night, and may wake up too early in the morning and feel tired and not refreshed. This can lead to daytime fatigue, irritability, difficulty concentrating, and impaired functioning in their day-to-day activities. Study is scarce in resource-limited countries such as Ethiopia, particularly concerning the study setting. As a result, this study aimed to assess the prevalence of insomnia and its associated factors among undergraduate students at Hawassa University. An institution-based cross-sectional study design was used. A stratified simple random sampling method was used among 398 study participants. The data were collected using a structured self-administered questionnaire. The outcome variable was assessed by the insomnia severity index (ISI). The data were then gathered by using the Kobo toolbox online and then exported into the Statistical Package for Social Sciences version 27 to analyze the data. Data cleaning and screening were conducted exclusively by the investigators. Descriptive statistics like frequency, percentages, and mean were used. Bivariate and multivariate binary regression were performed. In multivariate binary logistic regression, a p-value of<0.05 was identified as a significantly associated factor with the dependent variable. Among 398 students who participated in the study, 81 (20.4%) experienced insomnia. Being female [adjusted odds ratio (AOR) = 2.98; 95% confidence interval (CI) 1.56-5.69], age (AOR = 3.06; 95% CI 1.11-8.45), mild anxiety symptom (AOR = 4.89; 95% CI 1.56-15.37), and mobile device use ≥30 min just before going to sleep (AOR = 7.81; 95% CI 2.34-26.12) were significantly associated with insomnia. In this study, the prevalence of insomnia was one-fifth among university students, which is high when compared to another study at the national level. There were significant associations between being female, age, anxiety symptoms, and mobile device use before going to sleep with insomnia. This indicates that there is a need to treat and prevent insomnia in college students, emphasizing the necessity for mental healthcare and ethical technology use.

Interstitial Lung Disease Is Associated with Sleep Disorders in Rheumatoid Arthritis Patients.

To evaluate sleep disorders and associated factors in patients with rheumatoid-arthritis-associated interstitial lung disease (RA-ILD). We performed an observational study of 35 patients with RA-ILD (cases) and 35 age- and sex-matched RA patients without ILD (controls). We evaluated sleep disorders (Oviedo Sleep Questionnaire), positive psychological factors (resilience using the Wagnild and Young Resilience Scale, emotional intelligence using the 24-item Trait Meta-Mood Scale), anxiety and depression (Hospital Anxiety and Depression Scale), quality of life (36-item short-form survey), and fatigue (Functional Assessment of Chronic Illness Therapy Questionnaire). Other variables studied included the Charlson Comorbidity Index (CCI) and RA activity according to the DAS28-ESR. Compared to the controls, the cases were characterized by poorer sleep quality with a higher prevalence of insomnia (42% vs. 20%; p = 0.039), greater severity of insomnia (p = 0.001), and lower sleep satisfaction (p = 0.033). They also had poorer resilience and emotional recovery and more severe anxiety and depression. A diagnosis of ILD was the only factor independently associated with the three dimensions of sleep quality. The predictors of poorer sleep satisfaction in patients with RA-ILD were age (β = -0.379), DAS28-ESR (β = -0.331), and usual interstitial pneumonia pattern (β = -0.438). The predictors of insomnia were DAS28-ESR (β = 0.294), resilience (β = -0.352), and CCI (β = 0.377). RA-ILD is associated with significant sleep disorders. RA-ILD seems to be an independent risk factor for sleep alterations, with a greater impact on insomnia. Age, disease activity, and comorbidity also play a role in sleep disorders in patients with RA-ILD.

Perpetuating and protective factors in insomnia across racial/ethnic groups of veterans.

Few studies have examined racial/ethnic differences in rates and correlates of insomnia among veterans. This study compared rates of insomnia and interest in sleep treatment among veterans of diverse racial/ethnic backgrounds. Consistent with the 3P model, we tested racial discrimination as a predictor of insomnia, with post-traumatic stress disorder symptoms and romantic partners as perpetuating and protective moderators of this association, respectively. A total of 325 veterans (N = 236 veterans of colour; 12% Asian, 36% Black, 14% Hispanic/Latine) completed questionnaires online from remote locations. Descriptive statistics were used to compare patterns across racial/ethnic groups. Linear regression was used to test moderators of the association between racial discrimination and insomnia severity. Overall, 68% of participants screened positive for insomnia: 90% of Asian; 79% of Hispanic/Latine; 65% of Black; and 58% of White participants. Of those, 74% reported interest in sleep treatment, and 76% of those with partners reported interest in including their partner in treatment. Racial discrimination and post-traumatic stress disorder were correlated with more severe insomnia, while romantic partners were correlated with less severe insomnia. Only post-traumatic stress disorder moderated the association between racial discrimination and insomnia severity. Rates of insomnia were highest among Asian and Hispanic/Latine participants, yet these groups were among the least likely to express interest in sleep treatment. Racial discrimination may exacerbate insomnia symptoms among veterans, but only among those who do not already have disturbed sleep in the context of post-traumatic stress disorder. Romantic partners may serve as a protective factor in insomnia, but do not seem to mitigate the impact of racial discrimination.

Prevalence, Severity, and Predictors of Insomnia in Advanced Colorectal Cancer.

Insomnia is an under-recognized and undertreated symptom in palliative care and advanced cancer cohorts. Insomnia in an advanced colorectal cancer cohort is yet to be investigated despite colorectal cancer being the third commonest cancer worldwide and one with a high symptom burden. To examine the prevalence of insomnia and its associations in a large advanced colorectal cancer cohort. A consecutive cohort study of 18,302 patients with colorectal cancer seen by palliative care services across various settings (inpatient, outpatient, and ambulatory) was conducted from an Australia-wide database (2013-2019). The Symptom Assessment Score (SAS) was used to assess the severity of insomnia. Clinically significant insomnia was defined as SAS score ≥3/10, and used to compare associations with other symptoms and functional scores from validated questionnaires. The prevalence of any insomnia was 50.5%, and clinically significant insomnia 35.6%, particularly affecting people who were younger (<45-years-old), more mobile (AKPS score ≥70), or physically capable (RUG-ADL score ≤5). Outpatients and patients living at home had higher prevalence of insomnia. Nausea, anorexia and psychological distress were the commonest concurrent symptoms in patients with clinically significant insomnia. To our knowledge, this study was the first to investigate the prevalence and associations of insomnia in an advanced colorectal cancer cohort. Our findings demonstrate several groups at greater risk of suffering from insomnia (younger, greater physical capacity, living at home, and those with greater psychological distress). This may guide earlier recognition and management of insomnia to improve overall quality of life in this population.

Predictors of insomnia among adolescents A longitudinal study

Predictors of insomnia among adolescents A longitudinal study

Trends in Insomnia, Burnout, and Functional Impairment among Health Care Providers over the First Year of the COVID-19 Pandemic.

COVID-19 pandemic has negatively impacted the psychological well-being and quality of life of health care providers (HCPs). This study assessed the trends in prevalence and predictors of insomnia, burnout, and functional impairment among HCPs over the first year of the pandemic. An online survey was conducted one month after the pandemic's onset (onset group) and a year later (one-year group). The demographic features of participants were collected. Insomnia, burnout, and functional impairment were assessed using Insomnia Severity Index (ISI), Mini-Z survey, and Sheehan Disability Scale (SDS), respectively. The onset group included 211 HCPs (mean (SD) age 34.7 (9.3) years and 73% men), while 212 HCPs participated in the one-year survey (mean (SD) age 35.9 (10.5) years and 69% men). High prevalence estimates were found in both onset and one-year groups of symptoms of insomnia (52% vs. 49%), of diagnosis of clinical insomnia (15% vs. 18%), with a high mean ISI score (8.4 vs. 8.7), but with no significant difference between the onset and one-year groups. Risk factors for clinical insomnia included age in both groups, lower income and contact level with COVID-19 patients/samples in the onset group, and lower Mini-Z scores and higher SDS scores in the one-year group. Approximately one-third of respondents reported at least one or more burnout symptoms, with a higher percentage in the one-year group (35.4%) than in the onset group (24.2%) (p=0.012). Younger age, lower monthly income, and higher ISI and SDS scores were risk factors for burnout in both groups. Greater perceived changes in social life were associated with burnout in the onset group. In contrast, higher weekly working hours, worse participants' evaluation of their institution's preparation, and more changes in workload were risk factors for burnout in the one-year group. The SDS score and its subscales scores were higher in the one-year group than in the onset group. Changes in workload and social life predicted higher SDS scores among both groups. Living with older people predicted higher SDS scores among the onset group, while contact level and estimated number of COVID-19 patients that participants engaged in during caring predicted higher SDS scores among the one-year group. ISI scores were significantly correlated with the Mini-Z scores and SDS scores in both groups, while the Mini-Z and SDS scores were significantly correlated only in the one-year group. This study demonstrated high rates of insomnia, burnout, and functional impairment among HCPs during the pandemic. It reveals a significant rise in job burnout and functional impairment of HCPs overtime during the pandemic. Furthermore, high-risk subgroups are also highlighted for whom comprehensive psychosocial and occupational interventions might be warranted.

Sleep disorders among prison officers in Poland

IntroductionWorkplace conditions have a documented effect on employee health including sleep. Occupational stress and burnout are more frequent among penitentiary personnel than the general population.ObjectivesThe aim of the current study was to examine the phenomenon of insomnia and its relationship with occupational burnout in a sample of Polish prison officers.MethodsThe study was carried out on a sample of Polish prison officers using the Athens Insomnia Scale (AIS), the Coping Orientation to Problems Experienced (COPE), and the Oldenburg Burnout Inventory (OLBI).Resultsshowed that the Polish prison officers exhibited early symptoms of insomnia. Sleep disorders had a significant role in developing occupational burnout. Coping strategies such as help-seeking and engagement were revealed to have a mediating role in the relationship between insomnia and occupational burnout dimensions. The coping strategy of help-seeking was the only predictor of insomnia.ConclusionsThe results can constitute a significant argument for health promotion campaigns highlighting sleep hygiene directed at penitentiary personnel. A research model created for the purposes of future studies would allow for measuring the frequency of health behaviors, including the general category of preventive behaviors. The study warrants continuation.DisclosureNo significant relationships.

Insomnia thresholds and associated factors among Omani university students

BackgroundInsomnia is the most predominant sleep disorder affecting the general population and is a significant health concern. ObjectiveThe aim of this study was to explore the prevalence and predictors of insomnia among Omani university students. MethodsA cross-sectional descriptive design was used. Six hundred and thirty-two university students were recruited through convenience sampling and completed four self-reported surveys: (1) Depression, Anxiety and Stress scale; (2) Smartphone Addiction scale; (3) Insomnia Severity Index, and (4) demographics sheets, accessed through the Google Forms link posted on Twitter. ResultsAlmost two thirds of the participants suffered from insomnia, of whom a third part suffered from sub-threshold insomnia, another third had moderate insomnia, and a tenth part suffered from severe insomnia. A multivariate regression analysis revealed that age, preparing for exams, smartphone addiction, and stress were significant associated factors of insomnia. ConclusionAlthough the study identified high level of insomnia and significant associations between insomnia and exam preparation, smartphone addiction, and stress; insomnia is a far more complex phenomenon. We therefore recommend further studies to follow up the development of this population and to identify actions to combat this high level of insomnia. Nurses, public health workers, health coaches, and other clinically active professionals could collaborate to build programs to promote healthy use of smartphones in young individuals in order to combat insomnia.

Comorbid insomnia among breast cancer survivors and its prediction using machine learning: a nationwide study in Japan.

ObjectiveInsomnia is an increasingly recognized major symptom of breast cancer which can seriously disrupt the quality of life during and many years after treatment. Sleep problems have also been linked with survival in women with breast cancer. The aims of this study were to estimate the prevalence of insomnia in breast cancers survivors, clarify the clinical characteristics of their sleep difficulties and use machine learning techniques to explore clinical insights.MethodsOur analysis of data, obtained in a nationwide questionnaire survey of breast cancer survivors in Japan, revealed a prevalence of suspected insomnia of 37.5%. With the clinical data obtained, we then used machine learning algorithms to develop a classifier that predicts comorbid insomnia. The performance of the prediction model was evaluated using 8-fold cross-validation.ResultsWhen using optimal hyperparameters, the L2 penalized logistic regression model and the XGBoost model provided predictive accuracy of 71.5 and 70.6% for the presence of suspected insomnia, with areas under the curve of 0.76 and 0.75, respectively. Population segments with high risk of insomnia were also extracted using the RuleFit algorithm. We found that cancer-related fatigue is a predictor of insomnia in breast cancer survivors.ConclusionsThe high prevalence of sleep problems and its link with mortality warrants routine screening. Our novel predictive model using a machine learning approach offers clinically important insights for the early detection of comorbid insomnia and intervention in breast cancer survivors.

Prevalence and predictors of insomnia and sleep medication use in a large tri-service US military sample

The presence of insomnia in the general military population is not well known. This study aimed to determine the prevalence of probable clinical insomnia and identify factors leading to new-onset insomnia and/or sleep medication use in a large military population. Cross-sectional and longitudinal analyses of a prospective cohort study. A tri-service US military and veteran cohort (sample range 99,383-137,114). Participants were surveyed in 2013 (Time 1 [T1]) and 2016 (Time 2 [T2]) using the clinically validated Insomnia Severity Index. The prevalence of insomnia and sleep medication use was quantified at both times. Multivariable models identified military factors associated with new-onset insomnia and/or sleep medication use while adjusting for covariates. The prevalence of insomnia at T1 and T2 was 16.3% and 11.2%, respectively. New-onset insomnia at T2 was reported by 6.0% of participants screening negative at T1; risk factors included Army service, combat deployment experience, and separation from military service. The prevalence of sleep medication use at T1 and T2 was 23.1% and 25.1%, respectively. Sleep medication use at T2 was newly-reported by 17.1% of participants not reporting sleep medication use at T1; risk factors included number of deployments and having a healthcare occupation. The prevalence of probable clinical insomnia in this large general military population is within the range of previous reports in military and civilian populations. Certain military factors that predict new-onset insomnia and/or sleep medication use should be considered when designing and implementing sleep interventions in military populations.

Social Jetlag Changes During the COVID-19 Pandemic as a Predictor of Insomnia - A Multi-National Survey Study.

PurposeLifestyle and work habits have been drastically altered by restrictions due to the COVID-19 pandemic. Whether the associated changes in sleep timing modulate the risk of suffering from symptoms of insomnia, the most prevalent sleep disorder, is however incompletely understood. Here, we evaluate the association between the early pandemic-associated change in 1) the magnitude of social jetlag (SJL) – ie, the difference between sleep timing on working vs free days – and 2) symptoms of insomnia.Patients and MethodsA total of 14,968 anonymous participants (mean age: 40 years; 64% females) responded to a standardized internet-based survey distributed across 14 countries. Using logistic multivariate regression, we examined the association between the degree of social jetlag and symptoms of insomnia, controlling for important confounders like social restriction extension, country specific COVID-19 severity and psychological distress, for example.ResultsIn response to the pandemic, participants reported later sleep timing, especially during workdays. Most participants (46%) exhibited a reduction in their SJL, whereas 20% increased it; and 34% reported no change in SJL. Notably, we found that both increased and decreased SJL, as a result of the COVID-19 pandemic, were associated with later sleep midpoint (indicating a later chronotype) as well as more recurrent and moderate-to-severe symptoms of insomnia (about 23–54% higher odds ratio than subjects with unchanged SJL). Primarily those with reduced SJL shifted their bedtimes to a later timepoint, compared with those without changes in SJL.ConclusionOur findings offer important insights into how self-reported changes to the stability of sleep/wake timing, as reflected by changes in SJL, can be a critical marker of the risk of experiencing insomnia-related symptoms – even when individuals manage to reduce their social jetlag. These findings emphasize the clinical importance of analyzing sleep-wake regularity.

Insomnia severity and its correlates among English as a second language (ESL) college students

Objective Little is known about insomnia characteristics among the English as a second language (ESL) student population. This study compared insomnia severity between ESL students and English native-speaking students and identified correlates of insomnia in the ESL population. Participants College students (N = 352) from a private university in the Northeastern United States, including 22.4% (N = 79) ESL students. Methods For this cross-sectional study, participants completed the Insomnia Severity Index and indices of common risk factors of insomnia along with acculturation and language anxiety. Results ESL students reported higher insomnia severity than their US counterparts after controlling for depression, anxiety, and demographics. General anxiety, language anxiety, and cognitive pre-sleep arousal were selected as the strongest predictors of insomnia among the ESL population. Conclusions Findings suggest that ESL college group is vulnerable to greater insomnia, and language anxiety is unique and important correlate of insomnia in this population.

Insomnia, Anxiety, and Depression Symptoms during the COVID-19 Pandemic May Depend on the Pre-Existent Health Status Rather than the Profession.

Despite the high number of studies on mental health among healthcare workers, only a few have attempted to assess the mental health of people with chronic diseases during the COVID-19 crisis. Therefore, the aim of this study is to evaluate the symptoms of insomnia, anxiety, and depression among people with chronic diseases working in healthcare and in other professions. The study participants were divided into two groups. The first group consisted of 441 healthcare workers, and the second consisted of 572 non-healthcare professionals. Correlation analysis showed a strong correlation between autoimmune diseases and an increase in GAD-7 scale, ISI score, and PHQ-9 scale. Therefore, only autoimmune diseases were included for further analyses as a predictor of insomnia, depression, and anxiety. After adjusting the results for gender, age, smoking, dyslipidemia, hypertension, and profession, the group with autoimmune diseases showed a more than a 2-fold increase in the risk of anxiety symptoms, a more than 2.5-fold increase in the risk of depressive symptoms, and a 4-fold increase in the risk of insomnia symptoms. This study shows that, during the COVID-19 pandemic, the incidence of insomnia, anxiety disorders, and depressive disorders may depend on the pre-existent health status of an individual rather than on their profession.

Insomnia among Prison Officers and Its Relationship with Occupational Burnout: The Role of Coping with Stress in Polish and Indonesian Samples.

Thus far, data on sleep disorders among prison officers (POs) have been scarce. Research allows us to relate this problem to occupational stress, which POs experience every day. The aim of the current study was to analyze the scale, predictors, and impact of select factors on the relationship between insomnia and occupational burnout. This study was carried out on a sample of 376 Indonesian and 288 Polish POs using the Athens Insomnia Scale (AIS), the Coping Orientation to Problems Experienced (COPE) inventory, and the Oldenburg Burnout Inventory (OLBI). Results showed that 43.4% of the Polish sample exhibited early symptoms of insomnia, compared to 26.1% of the Indonesian sample. Sleep disorders had a significant role in developing occupational burnout. In both samples, coping strategies such as help-seeking and engagement were revealed to have a mediating role in the relationship between insomnia and occupational burnout dimensions. For the total sample and for the Polish sample, the coping strategy of help-seeking was the only predictor of insomnia. Discrepancies (concerning the role of age, gender, and multi-shift work) were observed between the current results and earlier studies. The current study’s limitations were discussed and new solutions were proposed.