Association of insomnia symptoms and trajectories with the risk of functional disability: a prospective cohort study.

BACKGROUND: There is limited understanding regarding prospective associations of insomnia symptoms and trajectories with functional disability. We aimed to investigate the associations of insomnia symptoms and trajectories with functional disability. METHOD: A total of 13 197 participants were eligible from the Health and Retirement Study. Insomnia symptoms included non-restorative sleep, difficulty initiating sleep, early morning awakening, and difficulty maintaining sleep. We also identified four distinct trajectories of insomnia symptoms: low, decreasing, increasing, and high insomnia symptoms. Functional status was assessed through activities of daily living (ADL) and instrumental activities of daily living (IADL). RESULTS: Participants experiencing one (HR, 1.21; 95% CI, 1.13-1.29), two (HR, 1.43; 95% CI, 1.29-1.57), or three to four (HR, 1.41; 95% CI, 1.25-1.60) insomnia symptoms had a higher risk of ADL disability than asymptomatic respondents. Similarly, participants with one or more insomnia symptoms had a higher risk of IADL disability. Furthermore, using the trajectory with low insomnia symptoms as the reference, decreasing insomnia symptoms (HR, 1.22; 95% CI, 1.12-1.34), increasing insomnia symptoms (HR, 1.21; 95% CI, 1.05-1.41), and high insomnia symptoms (HR, 1.36; 95% CI, 1.18-1.56) were all associated with an increased risk of ADL disability. CONCLUSION: Both a single measurement and dynamic trajectory of insomnia symptoms are associated with the onset of ADL disability. Increased awareness and management of insomnia symptoms may contribute to the prevention of functional disability occurrence.

Poor sleep quality is an important modifiable risk factor for dementia: Population attributable fraction of poor sleep in a Brazilian population-based study.

OBJECTIVES: The populational impact of poor sleep quality and the risk of dementia is unclear. We analyzed the Population Attributable Fraction (PAF) of poor sleep quality for dementia, and its association with other two sleep parameters through self-reported and single questions collected in a large-scale Brazilian cohort (ELSI-Brazil). METHODS: A subset of the ELSI-Brazil with complete responses to sleep quality was retrieved for this study. This is a large representative sample of the Brazilian elderly population with an extensive assessment of sociodemographic and health risk variables. Prevalence of poor sleep quality was estimated according to the complex sample design, and its PAF was measured using a meta-analytic relative risk. A total of 6024 (56.3% women, mean 62.8 ± 9.5 years of age) individuals had complete responses. RESULTS: The prevalence of poor sleep quality was 24.9% (95%CI 23%-26%), and the PAF of poor sleep quality including other 10 modifiable risk factors of dementia was 52.5% in Brazil. Secondary analyses identified that sleep quality, restorative sleep and sleep drug usage varied considerably according to age ranges, race, and gender. CONCLUSIONS: Poor sleep quality is an important populational modifiable risk factor for dementia in Brazil. Targeted interventions may provide an important impact in preventing dementia in low- and middle-income countries.

Mediating effect of depression and acute stress between exposure to Israel-Gaza war media coverage and insomnia: a multinational study from five arab countries.

BACKGROUND: In the context of persistent wars and conflicts worldwide, the impact of acute, excessive and constant exposure to media coverage of such events on mental health outcomes becomes a serious problem for public health, and requires therefore urgent investigation to inform an effective prevention and management response. The objective of the present study was to test the hypothesis that war-related media exposure is directly and indirectly associated with insomnia through depression and perceived stress among adults from the general population of different Arab countries. METHODS: A cross-sectional study was carried-out two weeks after the beginning of Israel-Gaza war on the 7th of October 2023. An anonymous online survey and a snowball sampling method were adopted to collect data. A sample of 2635 general population adults (mean age of 23.98 ± 7.55 years, 73.1% females) took part of this study. RESULTS: The results of the mediation analysis showed that, after adjusting over potential confounders, depression and perceived stress fully mediated the association between war media exposure and insomnia; higher war media exposure was significantly associated with higher depression (Beta = 0.13; p < .001) and perceived stress (Beta = 0.07; p < .001), whereas higher depression (Beta = 0.43; p < .001) and perceived stress (Beta = 0.31; p < .001) were significantly associated with higher insomnia. It is of note that war media exposure was not significantly and directly associated with insomnia (Beta = - 0.01; p = .178 and Beta = 0.02; p = .098 respectively). CONCLUSION: The present study is the first to provide evidence that more time spent viewing the horrors of war is significantly associated with insomnia. In addition, symptoms of stress and depression were present as early as two weeks following the beginning of the war, and played a significant role in mediating the association between war media coverage and insomnia. These findings suggest that timely screening for, and management of depression and stress symptoms in clinical and preventive programs might be beneficial for community adults who have been heavily and indirectly exposed to war through media, and present with insomnia.

Insomnia symptom prevalence in England: a comparison of cross-sectional self-reported data and primary care records in the UK Biobank.

OBJECTIVES: We aimed to use a large dataset to compare self-reported and primary care measures of insomnia symptom prevalence in England and establish whether they identify participants with similar characteristics. DESIGN: Cross-sectional study with linked electronic health records (EHRs). SETTING: Primary care in England. PARTICIPANTS: 163 748 UK Biobank participants in England (aged 38-71 at baseline) with linked primary care EHRs. OUTCOME MEASURES: We compared the percentage of those self-reporting 'usually' having insomnia symptoms at UK Biobank baseline assessment (2006-2010) to those with a Read code for insomnia symptoms in their primary care records prior to baseline. We stratified prevalence in both groups by sociodemographic, lifestyle, sleep and health characteristics. RESULTS: We found that 29% of the sample self-reported having insomnia symptoms, while only 6% had a Read code for insomnia symptoms in their primary care records. Only 10% of self-reported cases had an insomnia symptom Read code, while 49% of primary care cases self-reported having insomnia symptoms. In both primary care and self-reported data, prevalence of insomnia symptom cases was highest in females, older participants and those with the lowest household incomes. However, while snorers and risk takers were more likely to be a primary care case, they were less likely to self-report insomnia symptoms than non-snorers and non-risk takers. CONCLUSIONS: Only a small proportion of individuals experiencing insomnia symptoms have an insomnia symptom Read code in their primary care record. However, primary care data do provide a clinically meaningful measure of insomnia prevalence. In addition, the sociodemographic characteristics of people attending primary care with insomnia were consistent with those with self-reported insomnia, thus primary care records are a valuable data source for studying risk factors for insomnia. Further studies should replicate our findings in other populations and examine ways to increase discussions about sleep health in primary care.

[Correlation of insomnia with perceived stress in college students].

OBJECTIVE: To investigate the prevalence of insomnia in college students and analyze the correlation between insomnia and perceived stress. METHODS: 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). RESULTS: 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). CONCLUSION: 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.

The Impact of COVID-19 on Mental Health and Sleep Function of Hospital Staff Working With COVID-19 Patients: A Cross-Sectional Nationwide Study.

The coronavirus disease 2019 (COVID-19) pandemic has presented a globally challenging situation for human physical and mental health. Healthcare workers (HCWs) are affected by increased levels of anxiety, stress, and insomnia. This study aimed to evaluate the effect of COVID-19 on HCWs anxiety, stress, and insomnia levels. This cross-sectional study employed the Hospital Anxiety and Depression Scale, Perceived Stress Scale 10, and Insomnia Severity Index to assess anxiety, stress, and insomnia among HCWs at 10 COVID-19 isolation and treatment hospitals/centers after the first COVID-19 wave in Jordan. A web-based survey was used to collect data from 183 participants. Statistical analysis of factors affecting the mean scores of anxiety, stress, and insomnia was carried using student t-test or ANOVA while factors associated with differences in anxiety, stress, and insomnia frequencies were tested using Chi-square/Fisher exact test. Multivariate analysis was performed to determine the independent risk factors. Among participants, 97.3% reported moderate to severe levels of stress, 68% reported borderline to high abnormal levels of anxiety, and 32% had moderate to severe insomnia. The mean of anxiety total score was 9.8 ± 4.8, stress total score was 22.7 ± 4.5, and insomnia total score was 11.0 ± 7.1. Significant positive correlations were noted between anxiety, stress, and insomnia (P < .005). Female gender, migraine, less working years, increased time spent with patients, lower workforce, clinical insomnia and high stress were significant independent factors associated with anxiety (P < .05). Younger age, being single or divorced, heart disease, smoking, occupation (nurses), lower workforce, vaccination dose, and anxiety were significant independent factors associated with insomnia (P < .05). Increased time spent with patients, lower workforce, lower spouse and colleagues support, sadness due to isolation and anxiety were significant independent factors associated with stress. HCWs at COVID-19 centers had high levels of stress, anxiety, and insomnia. Appropriate interventions to maintain HCWs mental health are recommended.

Mental well-being and sleep quality among vocational college students in Sichuan, China during standardized COVID-19 management measures.

Purpose: This research investigated the impact of the COVID-19 pandemic on the mental well-being and sleep quality of students in higher vocational colleges in Sichuan, China, identifying key factors influencing their psychological health during this period. Methods: Between January and February 2022, a comprehensive survey was conducted among students from several higher vocational colleges in Sichuan, utilizing a randomized selection approach to involve 3,300 participants. Data were collected through direct interviews executed by skilled interviewers. Results: Out of 3,049 valid responses, a significant number reported experiencing symptoms of poor mental health, anxiety, depression, and insomnia, with prevalence rates of 21.2%, 9.7%, 14.1%, and 81.9%, respectively. Factors contributing positively to mental health and sleep included a higher family economic status, reduced stress from the pandemic, and decreased online activity. Conversely, lack of physical activity post-pandemic, disruptions to education and employment, and deteriorating relationships emerged as negative influencers. Interestingly, a lack of pre-pandemic mental health knowledge acted as a protective factor against insomnia. Conclusion: The ongoing management of COVID-19 has notably influenced the psychological and sleep health of vocational college students, driven by economic, emotional, lifestyle, and educational factors. The findings underscore the necessity for targeted interventions to address these challenges effectively.

Associations between anxiety, sleep, and blood pressure parameters in pregnancy: a prospective pilot cohort study.

BACKGROUND: The potential effect modification of sleep on the relationship between anxiety and elevated blood pressure (BP) in pregnancy is understudied. We evaluated the relationship between anxiety, insomnia, and short sleep duration, as well as any interaction effects between these variables, on BP during pregnancy. METHODS: This was a prospective pilot cohort of pregnant people between 23 to 36 weeks' gestation at a single institution between 2021 and 2022. Standardized questionnaires were used to measure clinical insomnia and anxiety. Objective sleep duration was measured using a wrist-worn actigraphy device. Primary outcomes were systolic (SBP), diastolic (DBP), and mean (MAP) non-invasive BP measurements. Separate sequential multivariable linear regression models fit with generalized estimating equations (GEE) were used to separately assess associations between anxiety (independent variable) and each BP parameter (dependent variables), after adjusting for potential confounders (Model 1). Additional analyses were conducted adding insomnia and the interaction between anxiety and insomnia as independent variables (Model 2), and adding short sleep duration and the interaction between anxiety and short sleep duration as independent variables (Model 3), to evaluate any moderating effects on BP parameters. RESULTS: Among the 60 participants who completed the study, 15 (25%) screened positive for anxiety, 11 (18%) had subjective insomnia, and 34 (59%) had objective short sleep duration. In Model 1, increased anxiety was not associated with increases in any BP parameters. When subjective insomnia was included in Model 2, increased DBP and MAP was significantly associated with anxiety (DBP: ß 6.1, p = 0.01, MAP: ß 6.2 p < 0.01). When short sleep was included in Model 3, all BP parameters were significantly associated with anxiety (SBP: ß 9.6, p = 0.01, DBP: ß 8.1, p < 0.001, and MAP: ß 8.8, p < 0.001). No moderating effects were detected between insomnia and anxiety (p interactions: SBP 0.80, DBP 0.60, MAP 0.32) or between short sleep duration and anxiety (p interactions: SBP 0.12, DBP 0.24, MAP 0.13) on BP. CONCLUSIONS: When including either subjective insomnia or objective short sleep duration, pregnant people with anxiety had 5.1-9.6 mmHg higher SBP, 6.1-8.1 mmHg higher DBP, and 6.2-8.8 mmHg higher MAP than people without anxiety.

Insomnia among college students: A bibliometric analysis from 2003 to 2022.

BACKGROUND: Insomnia has become a common health problem in modern society, especially among college students. The purpose of this study was to analyze the research status, research hotspots and frontier trends of insomnia among college students over the past 20 years. METHODS: VOSviewer 1.6.19 and CiteSpace 6.2 were used. R4: This study conducts a bibliometric and visualization analysis of the annual publications, authors, countries/regions, institutions, categories, journal/literature cocitations and keywords related to insomnia among college students in the Web of Science (WoS) core collection from 2003 to 2022. RESULTS: A total of 590 studies were included, and the number of studies on insomnia among college students has steadily increased over the last 20 years. The authors of high yield are represented by Taylor DJ and Miller MB. The countries/regions with high yields were the USA and China. The institutions of high yield were King Saud University and Southern Medical University. Its research fields were mainly Clinical Neurology, Psychiatry and Neurosciences. Mental health and insomnia, sleep quality and the impact of coronavirus disease 2019 (COVID-19) on insomnia are current research hotspots. Future research could focus on predicting the chronotype and physical activity of insomnia students. CONCLUSION: Through bibliometric and visualization analysis, this study investigated insomnia among college students over the past 20 years and preliminarily revealed the findings of coauthors and institutions. This study provides a general understanding of the research hotspots and frontier trends of insomnia among college students and provides some references for future research.

The associations between plant-based dietary indices with depression and quality of life and insomnia among Iranian adolescent girls in 2015.

Although previous research has explored the link between plant-based diets and mental health outcomes, there has been limited study on the quality levels of plant foods in this context. This study was conducted on 733 adolescent girls from cities in northeastern Iran. The validated Iranian version of the Insomnia Severity Index, SF-12v2 questionnaire and Persian version of the Beck Depression Inventory used to assess insomnia and poor quality of life (QoL) and depression, respectively. Dietary intakes assessed using a valid and reliable food frequency questionnaire. The association of scores of plant based dietary index (PDI) and poor QoL, depression and insomnia explored by binary logistic regression. The unadjusted model showed subjects in the highest quartile of healthy PDI had lower chances of insomnia than those in the lowest quartile (OR: 0.50; 95% CI 0.27-0.91, P = 0.024). The association persisted across various adjusted models. Subjects in the highest quartile of unhealthy PDI (uPDI) had higher chances of depression than those in the lowest quartile (OR: 1.83; 95% CI 1.09-3.08, P = 0.022). The significance of the association was maintained after adjusting for other confounders. A healthy plant-based dietary index is associated with a lower odds of insomnia. An unhealthy plant-based dietary index was associated to an increased chance of depression. Findings need to be confirmed by future studies.

Prevalence and network structure of depression, insomnia and suicidality among mental health professionals who recovered from COVID-19: a national survey in China.

Psychiatric syndromes are common following recovery from Coronavirus Disease 2019 (COVID-19) infection. This study investigated the prevalence and the network structure of depression, insomnia, and suicidality among mental health professionals (MHPs) who recovered from COVID-19. Depression and insomnia were assessed with the Patient Health Questionnaire (PHQ-9) and Insomnia Severity Index questionnaire (ISI7) respectively. Suicidality items comprising suicidal ideation, suicidal plan and suicidal attempt were evaluated with binary response (no/yes) items. Network analyses with Ising model were conducted to identify the central symptoms of the network and their links to suicidality. A total of 9858 COVID-19 survivors were enrolled in a survey of MHPs. The prevalence of depression and insomnia were 47.10% (95% confidence interval (CI) = 46.09-48.06%) and 36.2% (95%CI = 35.35-37.21%), respectively, while the overall prevalence of suicidality was 7.8% (95%CI = 7.31-8.37%). The key central nodes included "Distress caused by the sleep difficulties" (ISI7) (EI = 1.34), "Interference with daytime functioning" (ISI5) (EI = 1.08), and "Sleep dissatisfaction" (ISI4) (EI = 0.74). "Fatigue" (PHQ4) (Bridge EI = 1.98), "Distress caused by sleep difficulties" (ISI7) (Bridge EI = 1.71), and "Motor Disturbances" (PHQ8) (Bridge EI = 1.67) were important bridge symptoms. The flow network indicated that the edge between the nodes of "Suicidality" (SU) and "Guilt" (PHQ6) showed the strongest connection (Edge Weight= 1.17, followed by "Suicidality" (SU) - "Sad mood" (PHQ2) (Edge Weight = 0.68)). The network analysis results suggest that insomnia symptoms play a critical role in the activation of the insomnia-depression-suicidality network model of COVID-19 survivors, while suicidality is more susceptible to the influence of depressive symptoms. These findings may have implications for developing prevention and intervention strategies for mental health conditions following recovery from COVID-19.

Chronic insomnia, high trait anxiety and their comorbidity as risk factors for incident type 2 diabetes mellitus.

The main objective of this study was to evaluate the association of the insomnia-anxiety comorbidity with incident type 2 diabetes (T2D) in a large prospective cohort. We selected adults without diabetes at baseline from the French NutriNet-Santé cohort who had completed the trait anxiety subscale of the Spielberger State-Trait Anxiety Inventory (STAI-T, 2013-2016) and a sleep questionnaire (2014); insomnia was defined according to established criteria. Using multivariable Cox models, we compared T2D risk across 4 groups: no insomnia or anxiety (reference), insomnia alone, anxiety alone (STAI-T ≥ 40), and comorbid anxiety and insomnia. Among 35,014 participants (mean baseline age: 52.4 ± 14.0 years; 76% women), 378 (1.1%) developed T2D over a mean follow-up of 5.9 ± 2.1 years. Overall, 28.5% of the sample had anxiety alone, 7.5%-insomnia alone, and 12.5%-both disorders. In the fully-adjusted model, a higher T2D risk was associated with anxiety-insomnia comorbidity (HR = 1.40; 95% CI 1.01, 1.94), but not with each disorder separately, compared to the group without insomnia or anxiety. The findings supported a positive association between anxiety-insomnia comorbidity and incident T2D among general-population adults. Future research using clinical diagnoses of mental disorders could confirm the findings and guide diabetes prevention programs.

Association between magnesium deficiency score and sleep quality in adults: A population-based cross-sectional study.

BACKGROUND: The association between magnesium status and sleep quality is unclear. The aim of this study was to determine the relationship between renal reabsorption-related magnesium depletion score (MDS) and sleep quality. METHODS: This study was conducted through a cross-sectional survey of adults aged ≥20 years who participated in NHANES 2005-2014. We used weighted logistic regression to examine the association between MDS and sleep quality and performed trend tests to analyze for the presence of a dose-response relationship. Subgroup analyses were performed based on various sleep outcomes and covariates. RESULTS: A total of 20,585 participants were included in the study, with a mean age of 48.8 years and 50.7 % female. After adjusting for all covariates, we found a graded dose-response relationship between MDS and sleep trouble as well as sleep disorder. Further analyses revealed a significant positive association between MDS and sleep apnea (OR = 3.01; 95 % CI 1.37-6.62), but no association with restless legs, insomnia or insufficient sleep. In addition, subgroup analyses revealed that middle-aged, male, obese, low magnesium intake, and depressed patients were more prone to sleep trouble and sleep disorder; interestingly, MDS was positively associated with excessive sleep in subjects ≥60 years and without depression. CONCLUSIONS: Our study found a significant association between MDS and sleep quality, particularly sleep apnea, but adequate magnesium intake may be beneficial in mitigating this association. MDS may be associated with excessive sleep in older adults, but not with insufficient sleep or insomnia.

Dietary patterns and insomnia symptoms: A systematic review and meta-analysis.

We aimed to systematically review and synthesize the available evidence regarding the link between dietary patterns and insomnia symptoms among the general population using observational studies. We reviewed 16,455 references, of which 37 studies met inclusion criteria with a total sample size of 591,223. There was a significant association of the Mediterranean diet (OR: 0.86; 95 % CI, 0.79, 0.93; P < 0.001; I2 = 32.68 %), a high-quality diet (OR: 0.66; 95 % CI, 0.48, 0.90; P = 0.010; I2 = 84.62 %), and an empirically-derived healthy dietary pattern (OR: 0.91; 95 % CI, 0.85, 0.98; P = 0.010; I2 = 57.14 %) with a decreased risk of insomnia symptoms. Moreover, the dietary glycemic index (OR: 1.16; 95 % CI, 1.08, 1.25; P < 0.001; I2 = 0.0 %), the dietary glycemic load (OR: 1.10; 95 % CI, 1.01, 1.20; P = 0.032; I2 = 74.36 %), and an empirically-derived unhealthy dietary pattern (OR: 1.20; 95 % CI, 1.01, 1.42; P = 0.040; I2 = 68.38 %) were linked with a higher risk of insomnia symptoms. Most individual studies were of good quality (NOS) but provided very low certainty of evidence (GRADE). Consistent data reveals that following healthy diets is associated with decreased insomnia symptoms prevalence, while adherence to an unhealthy pattern is associated with an increased prevalence of insomnia symptoms.

A comprehensive examination of mental health in patients with head and neck cancer: systematic review and meta-analysis.

BACKGROUND: Patients with head and neck cancer present particularly considerable levels of emotional distress. However, the actual rates of clinically relevant mental health symptoms and disorders among this population remain unknown. METHODS: A Preferred Reporting Items for Systematic Review and Meta-Analyses and Meta-analyses of Observational Studies in Epidemiology-compliant systematic review and quantitative random-effects meta-analysis was performed to determine suicide incidence and the prevalence of depression, anxiety, distress, posttraumatic stress, and insomnia in this population. MEDLINE, Web of Science, Cochrane Central Register, KCI Korean Journal database, SciELO, Russian Science Citation Index, and Ovid-PsycINFO databases were searched from database inception to August 1, 2023 (PROSPERO: CRD42023441432). Subgroup analyses and meta-regressions were performed to investigate the effect of clinical, therapeutical, and methodological factors. RESULTS: A total of 208 studies (n = 654 413; median age = 60.7 years; 25.5% women) were identified. Among the patients, 19.5% reported depressive symptoms (95% confidence interval [CI] = 17% to 21%), 17.8% anxiety symptoms (95% CI = 14% to 21%), 34.3% distress (95% CI = 29% to 39%), 17.7% posttraumatic symptoms (95% CI = 6% to 41%), and 43.8% insomnia symptoms (95% CI = 35% to 52%). Diagnostic criteria assessments revealed lower prevalence of disorders: 10.3% depression (95% CI = 7% to 13%), 5.6% anxiety (95% CI = 2% to 10%), 9.6% insomnia (95% CI = 1% to 40%), and 1% posttraumatic stress (95% CI = 0% to 84.5%). Suicide pooled incidence was 161.16 per 100 000 individuals per year (95% CI = 82 to 239). Meta-regressions found a statistically significant higher prevalence of anxiety in patients undergoing primary chemoradiation compared with surgery and increased distress in smokers and advanced tumor staging. European samples exhibited lower prevalence of distress. CONCLUSIONS: Patients with head and neck cancer presented notable prevalence of mental health concerns in all domains. Suicide remains a highly relevant concern. The prevalence of criteria-meeting disorders is significantly lower than clinically relevant symptoms. Investigating the effectiveness of targeted assessments for disorders in highly symptomatic patients is essential.

Caring for patients in the Covid era: Are the quality of life the same for doctors and nursing staff?

BACKGROUND: The Covid-19 pandemic has represented one of the most stressful events of recent times and has placed enormous psychological pressure on doctors and nurses. AIMS: The objective of this work is to evaluate the psychological impact of the Covid-19 outbreak on Spanish nurses and doctors, and to identify factors related to their mental health. METHODS: The study is a descriptive study and examined 812 doctors and 768 nurses. The dependent variables were health-related quality of life, anxiety, depression, perceived stress and insomnia. Participants completed the Health-related Quality of Life-Questionnaire, the Generalized Anxiety Disorder 7-item-Scale, the Patient Health Questionnaire-9, the Impact Event Scale-Revised, and the Insomnia Severity Index. Sociodemographic and Covid-related data were also recorded. Descriptive statistics, univariable analysis and multivariable linear regression models were used. RESULTS: A greater proportion of nurses than doctors suffered clinical anxiety, depression and insomnia (56.84 % vs 45.81 p-value<0.0001, 64.67 % vs 53.39 p-value<0.0001, and 23.04 % vs 18.02 p-value 0.01, respectively). Although in our study nurses were more likely to suffer clinical anxiety, stress and insomnia than doctors, our results nevertheless showed that there were no differences in terms of quality of life. Different factors related to mental health were identified for doctors and nurses. Nurses working in care homes or geriatric services (OR = 4.13, IC95% 1.71-9.99, p-value 0.002), and in services with greatest contact with Covid-19 patients (OR = 1.71,IC95% 1.10-2.68, p-value 0.02) were more likely to suffer depression. CONCLUSIONS: Our study confirms that doctors and nurses are at high risk of clinical anxiety, depression, stress or insomnia during the Covid-19 pandemic.

Association between self-perception of the neighborhood environment and sleep problems in older Brazilian adults: findings from ELSI-Brazil.

This study aimed to investigate associations between neighborhood perception and sleep problems in older Brazilian adults. A cross-sectional study was conducted with 5,719 community-dwelling older adults (≥ 60 years) from the Brazilian Longitudinal Study of Aging (ELSI-Brazil, 2019-2021). The outcomes were self-reported sleep problems: poor sleep quality, daytime sleepiness, primary insomnia complaints, difficulty staying asleep, and waking up at dawn. The exposure variables were questions about the perception of participants about the physical and social environment of the neighborhood. Logistic regression was used in data analysis. Garbage, rubbish, or tall grass on the streets and the desire to move were associated with higher odds of poor sleep quality. Concern about falling due to damaged sidewalks, concern about having difficulties taking transportation, and concern about having difficulties crossing the street were associated with higher odds of all sleep problems. Sound/noise of buses and cars was associated with higher odds of some sleep problems. Perceiving the neighborhood as a good place to live was associated with lower odds of daytime sleepiness and primary insomnia complaints. Trusting most people in the neighborhood and perceiving that kids and younger people treat adults with respect were associated with lower odds of daytime sleepiness, primary insomnia complaints, and waking up at dawn. Being a good place for kids to play and raise teenagers was associated with lower odds of daytime sleepiness. These results can assist public administrators in creating urban planning policies aimed at improving neighborhood environments as a means of health promotion.

Development of insomnia in patients with stroke: A systematic review and meta-analysis.

BACKGROUND AND AIM: Stroke is a serious threat to human life and health, and post-stroke insomnia is one of the common complications severely impairing patients' quality of life and delaying recovery. Early understanding of the relationship between stroke and post-stroke insomnia can provide clinical evidence for preventing and treating post-stroke insomnia. This study was to investigate the prevalence of insomnia in patients with stroke. METHODS: The Web of Science, PubMed, Embase, and Cochrane Library databases were used to obtain the eligible studies until June 2023. The quality assessment was performed to extract valid data for meta-analysis. The prevalence rates were used a random-efect. I2 statistics were used to assess the heterogeneity of the studies. RESULTS: Twenty-six studies met the inclusion criteria for meta-analysis, with 1,193,659 participants, of which 497,124 were patients with stroke.The meta-analysis indicated that 150,181 patients with stroke developed insomnia during follow-up [46.98%, 95% confidence interval (CI): 36.91-57.18] and 1806 patients with ischemic stroke (IS) or transient ischemic attack (TIA) developed insomnia (47.21%, 95% CI: 34.26-60.36). Notably, 41.51% of patients with the prevalence of nonclassified stroke developed insomnia (95% CI: 28.86-54.75). The incidence of insomnia was significantly higher in patients with acute strokes than in patients with nonacute strokes (59.16% vs 44.07%, P < 0.0001).Similarly, the incidence of insomnia was significantly higher in the patients with stroke at a mean age of ≥65 than patients with stroke at a mean age of <65 years (47.18% vs 40.50%, P < 0.05). Fifteen studies reported the follow-up time. The incidence of insomnia was significantly higher in the follow-up for ≥3 years than follow-up for <3 years (58.06% vs 43.83%, P < 0.05). Twenty-one studies used the Insomnia Assessment Diagnostic Tool, and the rate of insomnia in patients with stroke was 49.31% (95% CI: 38.59-60.06). Five studies used self-reporting, that the rate of insomnia in patients with stroke was 37.58% (95% CI: 13.44-65.63). CONCLUSIONS: Stroke may be a predisposing factor for insomnia. Insomnia is more likely to occur in acute-phase stroke, and the prevalence of insomnia increases with patient age and follow-up time. Further, the rate of insomnia is higher in patients with stroke who use the Insomnia Assessment Diagnostic Tool.

EXAMINATION OF THE INCIDENCE OF POOR SLEEP QUALITY AND FACTORS ASSOCIATED FOR POOR SLEEP DURING THE VARIOUS PHASES OF PREGNANCIES.

Objective - to measure poor sleep quality, its components, and the variables that contribute to it in a cohort of pregnant women across time. Four hundred and eighty-six strong singleton pregnancies were collected ahead of the fourteenth gestational week. Data on poor sleep quality were gathered before pregnancy and analyzed five distinct times in each trimester and six months after delivery. "Poor sleep quality (PSQ) was defined as a score of fewer than eight on the Athens Insomnia Scale (AIS), and for each trimester, adjusted odds ratios (aOR) with 95% confidence intervals (CI)"were acquired by use of multivariate logistic regression analysis. Pregnancy prevalence of poor SQ was 6.1 percent, followed by 44.2 percent in the first trimester (TR1), 46.3 percent in the second trimester (TR2), and 63.7 percent in the third trimester (TR3). Poor sleep quality after pregnancy was reported by 33.2 percent of women "(28.2-37.9) (p<0.001 for pre-gestational versus TR1, TR2 vs. TR3, and TR3 vs. post-pregnancy)."Due to a decrease in the quality of their nocturnal sleep, TR3's mean AIS score went from 2.34 before pregnant to 9.87; in contrast, TR1's detrimental impact on daytime functioning was larger. Poor sleep during the previous trimester was linked to poor sleep in TR2 and TR3. Poor SQ during pregnancy was a factor in TR1's poor SQ, and obesity was linked to bad sleep in TR3. The risks of having poor sleep quality in TR3 were instead decreased by moderate physical activity. Poor sleep throughout pregnancy was shown to be much more common than good sleep at any point in the pregnancy. In the latter stages of pregnancy, two out of every three expecting moms suffer poor SQ. Particular attention should be paid to pre-gestational poor SQ prevention and high body mass index.

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

BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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.