Global practice of sleep medicine: Iran.

STUDY OBJECTIVES: In this study we aimed to conduct a comprehensive review of sleep medicine in Iran, focusing on the country's advancements, challenges, and the global context. METHODS: We conducted a comprehensive review of sleep medicine in Iran, using various sources to ensure a thorough analysis. The national educational curriculum for sleep medicine and guidelines on sleep clinics issued by Iran's Ministry of Health served as a foundational resource. Additionally, we gathered information from the Iranian Sleep Medicine Society website and relevant committee data sources. To enhance our understanding of the current research landscape, we performed a targeted search on PubMed using keywords related to sleep and Iran. RESULTS: The study presents a dynamic overview of sleep medicine in Iran, highlighting key advancements and challenges. Significant progress was observed in establishing standardized sleep medicine training and accredited sleep clinics. The Iranian Sleep Medicine Society plays a pivotal role in spearheading these developments, contributing to implementing regional guidelines for sleep tests. However, challenges such as a limited number of trained specialists, a scarcity of certified sleep clinics, and obstacles to accessing sleep disorder treatments were identified. CONCLUSIONS: We advocate for the implementation of increased research initiatives, nationwide education and screening programs, and proactive measures to strengthen the landscape of sleep and circadian medicine in the country. CITATION: Behkar A, Amirifard H, Samadi S, et al. Global practice of sleep medicine: Iran. J Clin Sleep Med. 2024;20(6):1009-1015.

Characterization of risk factors for obstructive sleep apnea and its association with absenteeism among nurses.

PURPOSE: To characterize risk factors associated with obstructive sleep apnea (OSA) and its relationship with nurses' absenteeism. METHODS: A cross-sectional study was conducted from 2018 to 2020 at a 1,000-bed academic hospital complex and biomedical research facility in Tehran, Iran. Participants were selected through consecutive sampling after obtaining ethical approval and informed consent. Data on demographics, medical conditions, occupational characteristics, and absenteeism were collected through face-to-face interviews. The STOP-Bang questionnaire was utilized to assess the probability of OSA. Statistical tests included the Mann-Whitney U, t-test, Chi-square, and multivariable regression. RESULTS: In this study involving 304 nurses, the majority were female (81.3%), with an average age of 35. About 27 participants (8.9%) had a high probability of OSA, with male sex, older age, higher body mass index, neck circumference, and diastolic BP identified as the main determinants of OSA. Additionally, shift work and night shifts were associated with increased absenteeism, while sex showed no significant association with absenteeism rates among nurses. CONCLUSION: Male sex, neck circumference (obesity), night shifts, and diastolic BP can predict OSA risk. However, unauthorized absence from work is not associated with a high risk for OSA (STOP-BANG ≥3) or the individual risk factors of OSA.

A nationwide study on the prevalence and contributing factors of obstructive sleep apnea in Iran.

Reliable obstructive sleep apnea (OSA) prevalence information in Iran is lacking due to inconsistent local study results. To estimate OSA prevalence and identify clinical phenotypes, we conducted a nationally representative study using multi-stage random cluster sampling. We recruited 3198 individuals and extrapolated the results to the entire Iranian population using complex sample survey analyses. We identified 3 clinical phenotypes as "sleepy," "insomnia," and "restless legs syndrome (RLS)." The prevalence of OSA was 28.7% (95%CI: 26.8-30.6). The prevalence of "sleepy," "insomnia," and "RLS" phenotypes were 82.3%, 77.8%, and 36.5% in women, and 64.8%, 67.5%, and 17.9% in men, respectively. "Sleepy" and "insomnia" phenotypes overlapped the most. Age (OR: 1.9), male sex (OR: 3.8), BMI (OR: 1.13), neck circumference (OR: 1.3), RLS (OR: 2.0), and insomnia (OR: 2.3) were significant OSA predictors (p-values: 0.001). In men, "sleepy" phenotype was associated with youth and unmarried status but not in women. The "insomnia" phenotype was associated with shorter sleep duration in women; cardiovascular diseases (CVD), urban residency, and shorter sleep duration in men. "RLS" phenotype was associated with shorter sleep duration and CVD in women and older age, lower educational level, CVD, and hypertension in men. The findings point to the need for funding of OSA screening in Iran, for a different assessment of men and women, and for future sleep research to consider overlapping phenotypes.

Characterization of Long COVID and Its Contributing Factors among a Population of Health Care Workers in a 6-Month Follow-up.

Background: Health care workers (HCWs) are at the frontline of the fight against the coronavirus disease 2019 (COVID-19). Long COVID is defined as "the persistence of some symptoms of COVID-19, more than 4 weeks after the initial infection." The aim of the present study was to investigate the prevalence of long COVID status among HCWs in the largest hospital complex of Iran. Methods: In this cross-sectional study, all patients with COVID-19 who had taken sick leave were included in the study (n = 445). Data regarding sick leave characteristics were collected from the records of the nursing management department of the hospital. Study variables included demographic and occupational information, variables related to mental health assessment, organ systems involved in COVID-19, and duration of symptoms. Frequencies, percentage distributions, means, standard deviation, and range (minimum, maximum) were used as descriptive analysis methods. Associations between symptoms' persistency and clinical characteristics were assessed by logistic and linear regressions. Results: Age, N95 mask use, and respiratory protection significantly contributed to the persistence of COVID-19 symptoms (P < 0.05). The prevalence of long COVID among HCWs was 9.44% among 445 participants. The loss of taste persisted longer than the other symptoms before returning to normal. Among the postrecovery complications asked, anxiety was the most common persistent mental symptom (58.5%), followed by gloomy mood (46.3%) and low interest (46.2%), respectively. Conclusion: HCWs with COVID-19 symptoms had prolonged symptoms of COVID-19 that can affect their work performance, thus, we recommend evaluating COVID-19 symptoms in HCWs with infection history.

Evaluation of the PSO Metaheuristic Algorithm in Different Types of Sleep Apnea Diagnosis Using RR Intervals.

Background: Sleep apnea is one of the most common sleep disorders that facilitating and accelerating its diagnosis will have positive results on its future trend. Objective: This study aimed to diagnosis the sleep apnea types using the optimized neural network. Material and Methods: This descriptive-analytical study was done on 50 cases of patients referred to the sleep clinic of Imam Khomeini Hospital in Tehran, including 11 normal, 13 mild, 17 moderate and 9 severe cases. At the first, the data were pre-processed in three stages, then The Electrocardiogram (ECG) signal was decomposed to 8 levels using wavelet transform convert and 6 nonlinear features for the coefficients of this level and 10 features were calculated for RR Intervals. For apnea categorizing classes, the multilayer perceptron neural network was used with the backpropagation algorithm. For optimizing Multi-layered Perceptron (MLP) weights, the Particle Swarm Optimization (PSO) evolutionary optimization algorithm was used. Results: The simulation results show that the accuracy criterion in the MLP network is allied with the Backpropagation (BP) training algorithm for different types of apnea. By optimizing the weights in the MLP network structure, the accuracy criterion for modes normal, obstructive, central, mixed was obtained %96.86, %97.48, %96.23, and %96.44, respectively. These values indicate the strength of the evolutionary algorithm in improving the evaluation criteria and network accuracy. Conclusion: Due to the growth of knowledge and the complexity of medical decisions in the diagnosis of the disease, the use of artificial neural network algorithms can be useful to support this decision.

Population-based cross-sectional study of sex-specific dose-response associations between night sleep duration and hypertension in Islamic Republic of Iran.

Background: Several studies have suggested that sleep disorders have adverse effects on blood pressure. However, the findings remain controversial and only a few studies have investigated the association between sleep duration and hypertension among all age and sex subgroups. Aim: To evaluate the dose-response association between sleep duration and blood pressure in the Iranian population using the Ravansar non-communicable disease cohort study. Methods: This was a cross-sectional study of 9865 participants aged 35-65 years from the 2014-2017 Ravansar non-communicable disease cohort study. Night sleep duration was classified as ≤5 hours, 6 hours, 7 hours, 8 hours, 9 hours, and ≥10 hours. The association between self-reported sleep duration and hypertension was examined using multivariable logistic regression in STATA version 14. Restricted cubic spline analysis showed the dose-response association between sleep duration and hypertension. Results: The age-adjusted prevalence of hypertension was 16.50% among men, 24.20% among women and 20.50% in the total population. Compared with reference sleep duration (7 hours) in the total population, the multivariable odds ratio [OR (95% CI)] for hypertension was 0.70 (0.55-0.88) for the group with 9 hours sleep duration and 0.90 (0.74-1.09) for the group with ≤5 hours sleep duration. Among pre-menopausal women, we observed an inverse association between 9 hours sleep duration and hypertension [0.62 (0.42-0.90)]. The age-adjusted cubic spline suggested a linear inverse association between sleep duration and prevalence of hypertension among men and the total population and a non-linear association among women. Conclusion: Longer sleep duration (from 9 hours) had a negative association with hypertension. Further studies are needed to identify the risk factors associated with sleep duration and hypertension among the general population in the Islamic Republic of Iran.

EEG artifact removal using sub-space decomposition, nonlinear dynamics, stationary wavelet transform and machine learning algorithms.

Blind source separation (BSS) methods have received a great deal of attention in electroencephalogram (EEG) artifact elimination as they are routine and standard signal processing tools to remove artifacts and reserve desired neural information. On the other hand, a classifier should follow BSS methods to automatically identify artifactual sources and remove them in the following steps. In addition, removing all detected artifactual components leads to loss of information since some desired information related to neural activity leaks to these sources. So, an approach should be employed to detect and suppress the artifacts and reserve neural activity. This study introduces a novel method based on EEG and Poincare planes in the phase space to detect artifactual components estimated by second-order blind identification (SOBI). Artifacts are detected using a mixture of well-known conventional classifiers and were removed employing stationary wavelet transform (SWT) to reserve neural information. The proposed method is a combination of signal processing techniques and machine learning algorithms, including multi-layer perceptron (MLP), K-nearest neighbor (KNN), naïve Bayes, and support vector machine (SVM) which have significant results while applying our proposed method to different scenarios. Simulated, semi-simulated, and real EEG signals are employed to evaluate the proposed method, and several evaluation criteria are calculated. We achieved acceptable results, for example, 98% average accuracy and 97% average sensitivity in artifactual EEG component detection or about 2% as mean square error in EEG reconstruction after artifact removal. Results showed that the proposed method is effective and can be used in future studies as we have considered different real-world scenarios to evaluate it.

Prevalence of short and long sleep duration: Ravansar NonCommunicable Disease (RaNCD) cohort study.

BACKGROUND: Prevalence of short and long sleep duration varies in different countries and changes over time. There are limited studies on Iranians' sleep duration, and we aimed to evaluate the prevalence of short and long sleep duration and associated factors among people living in Kermanshah, Iran. METHODS: This population-based cross-sectional study was conducted between November 2014 and February 2017. Data was collected from 10,025 adults aged 35 to 65 years using census sampling, and we evaluated the short and long sleep duration (≤ 6 and ≥ 9 h, respectively) and its relation with the socio-demographic factors and health-related status of the participants. RESULTS: Mean age of participants was 48.1 years (standard deviation = 8.2), and 47.4% of participants were male. Of our participants, 11.6% had short, and 21.9% had long sleep duration. Age ≥ 50 years, female gender, being single, mobile use for longer than 8 h per day, working in night shifts, moderate and good levels of physical activity, BMI ≥ 30, past smoking, and alcohol use were associated with short sleep duration (P < 0.05). Female gender and living in rural areas were associated with long sleep duration (P < 0.05). CONCLUSION: In the Ravansar population, short and long sleep duration are prevalent, with long sleep duration having higher prevalence. People at risk, such as night shift workers, as well as modifiable factors, such as mobile phone use, can be targeted with interventions to improve sleep hygiene.

The impact of work schedules, workplace bullying and some demographic characteristics on nurses' sleep quality in Iran.

Introduction: Sleep quality in nurses along with workplace bullying, are concerned with nursing care quality. There exist a few investigations on workplace bullying and its relationship with sleep quality. This study aims at determining the impact of work schedules, workplace bullying, and some demographic characteristics on nurses' sleep quality. Material and Methods: This study was conducted on 333 nurses who worked in a hospital in Tehran, Iran. Sampling conducted from February 12 to April 23, 2020. Instruments of this study were Pittsburg sleep quality index and Quine's workplace bullying scale. Results: 63% of nurses had low sleep quality. Male nurses had lower sleep quality in comparison with females; 90% of nurses had encountered workplace bullying. Bullying and work schedules did not have a statistically significant effect on nurses' sleep quality. Conclusion: According to this study, work schedules and workplace bullying had no significant effect on nurses' sleep quality; but regarding that low sleep quality and encountering bullying is a cause of mental and physical problems for nurses and reduces the quality of care, it is recommended that nurses' sleep quality and facing the bullying behavior should be taken into account by hospital authorities.

The effects of CPAP therapy on metabolic profile and subjective sleep parameters in patients with OSA: a prospective trial study.

Objective: Several studies confirmed a positive association between obstructive sleep apnea (OSA) and metabolic syndrome. Continuous positive airway pressure (CPAP) is the main treatment for patients with moderate and severe OSA. CPAP therapy in adults with OSA results in reduction in sleepiness, blood pressure and improvement of metabolic profile. In this study, we aimed to evaluate the effects of CPAP therapy on various components of metabolic syndrome and subjective sleep parameters in patients with OSA. Material and Methods: In this prospective trial study, 28 patients with moderate and severe OSA enrolled. Patients were asked to fill out the validated Persian version of questionnaires including Epworth sleepiness scale, insomnia severity index, STOP-BANG and Beck depression inventory - II, before and after treatment with CPAP. Weight and blood pressure were recorded before and after treatment. Only 14 patients agreed to blood sampling before and after CPAP therapy (at least 3 months of treatment). Fasting blood samples were analyzed for measuring the levels of FBS (fasting blood sugar), TG (triglyceride), total cholesterol, HDL, LDL, AST, and ALT. Results: Diastolic blood pressure, ISI and STOP-BANG score significantly decreased after treatment (p-value: 0.008, 0.022 and 0.004, respectively). FBS and TG levels decreased after treatment, but only TG levels had significant difference (p-value: 0.46 and 0.016, respectively). Discussion: CPAP therapy had positive effects on diastolic blood pressure, TG levels and ISI score. More studies with larger sample size and longer follow-up periods are warranted to investigate the effects of CPAP therapy on blood pressure, and metabolic parameters.

Shift work and insulin resistance (HOMA-IR) among professional drivers.

BACKGROUND: Shift work may be associated with insulin resistance. OBJECTIVE: This study aimed to investigate the potential association between shift work and the homeostatic model assessment of insulin resistance (HOMA-IR) index in professional drivers. METHOD: A total of four hundred fifty-three professional drivers were invited to participate in the study within a periodic medical examination in the occupational setting. One hundred seventy-seven daytime workers were compared with 175 night shifts and 101 early morning shift drivers. Demographic, occupational, and medical examination including blood pressure, anthropometric data was assessed. Measurement of serum insulin, fasting blood glucose and lipid profile were done for all drivers. RESULTS: Compared with day workers, night shift and early morning shift drivers displayed higher levels of HOMA-IR. Metabolic syndrome was found to be significantly increased in night workers. In linear regression analysis, insulin resistance was correlated with shift work independently of demographic and occupational characteristics. CONCLUSION: The study revealed that shift work could be a risk factor in developing the risk of metabolic syndrome and insulin resistance. Suggestively, health strategies such as structured lifestyle counseling in occupational health settings are warranted to improve and modify cardiometabolic risk factors.

COVID-19 Fear Association with Depression, Anxiety, and Insomnia: A National Web-Based Survey on the General Population.

Objective: COVID-19 pandemic has influenced almost every country worldwide. Being in a pandemic situation can cause psychological distress to people, which can lead to sleep disorders. The present study aimed to assess prevalence of depression, anxiety, and insomnia among Iranian people and their relations with COVID-19 fear in the early stages of COVID-19 pandemic. Method: A cross-sectional and population-based online study was designed. We created an online form and used Fear of COVID-19 scale (FCV-19), Generalized Anxiety Disorder 2 scale (GAD-2), Patient Health Questionnaire-2 (PHQ-2), and Insomnia Severity Index (ISI), to assess fear of COVID-19, anxiety, depression, and insomnia, respectively. We sent the link to the online survey to Iranians interested in participating in the study via social media, and 1223 Iranian completed the form. Results: A total of 1223 individuals with a mean age of 39.82 ± 10.75 years participated in the study. Prevalence of insomnia, depression and anxiety among our participants were 55.2%, 61.5%, and 50.9%, respectively. The mean FCV-19 score among the participants was 19.70 ± 5.08. Insomnia was more common among those who were 50 years or older. Fear of COVID-19 was related to a more risk of progression toward depression, anxiety, and insomnia. Conclusion: Fear of COVID-19 has a considerable association with depression, anxiety, and insomnia in the pandemic, and strategies to reasonably decrease people's fears can help to reduce incidence of psychological issues during the pandemic.

SARS-CoV-2 Seroprevalence Among Health Care Workers in Major Private and Public Hospitals With COVID-19 Patient's Referral in Tehran, Iran.

Estimating the prevalence of SARS-CoV-2 antibody seropositivity among health care workers (HCWs) is crucial. In this study, the seroprevalence of anti-SARS-CoV-2 antibodies among HCWs of five hospitals of Tehran, Iran with high COVID-19 patient's referrals from April to June, 2020, was assessed. In this cross-sectional study, HCWs from three public and two private hospitals, selected randomly as a pilot, were included. Participants were asked questions on their demographic characteristics, medical history, hospital role, and usage of personal protective equipment (PPE). Iran FDA-approved SARS-CoV-2 ELISA kits were used to detect IgG and IgM antibodies in blood samples. The seroprevalence was estimated on the basis of ELISA test results and adjusted for test performance. Among the 2,065 participants, 1,825 (88.4%) and 240 (11.6%) HCWs were recruited from public and private hospitals, respectively. A total of 340 HCWs were tested positive for SARS-CoV-2-specific IgG or IgM antibodies, and 17.9% of seropositive individuals were asymptomatic. The overall test performance-adjusted seroprevalence estimate among HCWs was 22.6 (95% CI: 20.2-25.1), and PPE usage was significantly higher among HCWs of public vs. private hospitals (66.5 vs. 20.0%). This study found that seroprevalence of SARS-CoV-2 among HCWs was higher in private hospitals (37.0%; 95% CI: 28.6-46.2) than public hospitals (20.7%; 95% CI: 18.2-23.3), and also highest among assistant nurses and nurses, and lowest among janitor or superintendent categories. The PPE usage was especially suboptimal among HCWs in private hospitals. Continued effort in access to adequate PPE and regular screening of hospital staff for detecting asymptomatic personnel, especially during the upcoming wave of infection, are warranted.

Sleep characteristics of Iranian people and their effects on daytime functioning: a population-based study.

Sleep characteristics vary between populations. Detrimental sleep habits have cognitive consequences leading to daytime functioning debilitation. Until now no study has been done to investigate sleep characteristics in Iran thoroughly. In this study, we aimed to evaluate Iranians' sleep characteristics and their association with daytime functioning. We conducted a population-based study from January 2017 to May 2019 on people more than 18 years old who lived in 11 urban destricts and 3 rural areas of Tehran, Iran. We randomly selected the participants using a multistage random stratified clustered sampling method. We obtained the participants' demographic and anthropometric characteristics and details of bedtime, sleep duration, sleep onset latency, wake-up time and sleep impact on daytime functioning. Logistic regression model was used to assess the relationship between sleep characteristics) and daytime functioning. In total, 1830 people with a mean age of 40.83 years participated in the study. The gender distribution of the participants was even, and 70.98% of them were married. After adjusting for age and sex, the following three factors had a significant impact on daytime functioning: bedtime, sleep onset latency, and sleep duration. (OR = 1.12, P < 0.038, OR = 1.01, P < 0.011, and OR = 0.99, P = 0.01, respectively). We also found that longer sleep onset latency (P = 0.004) and shorter sleep durations (P = 0.029) significantly interfere with daytime functioning. Iranians' sleep characteristics, especially their sleep duration and sleep onset latency, are associated with their daytime function. Interventions on people's sleep hygiene are warranted to promote healthier sleep behaviors among Iranians, considering the high impact of current sleep characteristics on their daily lives.

The impact of the HLA DQB1 gene and amino acids on the development of narcolepsy.

INTRODUCTION: Narcolepsy is a chronic neurological and a genetic disorder of autoimmune origin, which is characterized by five main symptoms, including excessive day time sleepiness, sudden loss of muscle tone or cataplexy, sleep paralysis, hypnagogic hallucinations, and disturbed nocturnal sleep. While there are several diagnostic tests for Narcolepsy such as MSLT (mean sleep latency test), polysomnography and low range of hypocretin in cerebrospinal fluid (CSF), sensitivity and specificity in these methodologies are not sufficient enough. Therefore, methods with higher sensitivity for the accurate diagnosis and confirmation of the disease are necessary. METHODS: According to the infrequent prevalence of narcolepsy disease, we scheduled a case-control association study with 20 narcoleptic patients and 150 healthy individuals in a high-resolution HLA typing procedure employing SSP-PCR. RESULTS: Our study demonstrates that the DQB1*06:02 allele provides the highest susceptibility with absolute risk of 0.13%, for Narcolepsy (P = 1x10-14, RR = 60.5, PcPPV = 0.13%), while, HLA-DQB1* 03:05 allele presents protection to Narcolepsy (P = 1x10-4, PcPPV = 3.19x10-4%). Furthermore, for the first time, the AA analysis displayed that AA serine182 and threonine185 located on epitope of DQß1 chain receptor (DQB1Ser182,Thr185) present significant susceptibility for Narcolepsy (Pc= 87.03 × 10-13, PcPPV = 0.024%) while, asparagine182 located on epitope of DQß1 protein receptor (DQB1Asn182) confers the highest protection against development of Narcolepsy (Pc= 2.16 × 10-5, PcPPV = 0.0012%). CONCLUSION: Thus, this can be proposed that the polymorphic differences in the epitope of the HLA receptor could contribute to their differential association with the Narcolepsy in Iranian population.

Effect of Otolaryngology Residency Program Training on Obstructive Sleep Apnea Practice.

According to the importance of management of obstructive sleep apnea syndrome by otolaryngologists, this study was designed to investigate knowledge, attitudes and practice of junior and senior residents of otolaryngology and evaluate the effect of current residency training program on choosing the first lines of treatment. A total of 110 residents of otolaryngology were selected. Our study tools were obstructive sleep apnea knowledge and attitudes (OSAKA and OSAKA-KIDS) questionnaires. The participants were classified as junior and senior. Senior residents had significantly higher total knowledge score for OSAKA based on independent t test (12.73 Vs. 10.52). No significant difference was observed for OSAKA-KIDS (11.31 Vs. 10.69). The most frequent choice for the first line was CPAP (63.8%) and weight loss (41.5%) among junior and senior residents, respectively. Although the knowledge of otolaryngology residents increased during their program, the choice of first line treatment in obstructive sleep apnea was different between junior and senior residents. We found a need for further multidisciplinary education for residents especially in the management of sleep apnea particularly toward CPAP usage and this syndrome in pediatrics.

Patients with Obstructive Sleep Apnea Symptoms Referral to Otolaryngologists in Iranian Residency Entrance Examination Volunteers: The Effect of Source of Education and Level of Knowledge.

Obstructive sleep apnea (OSA) has various complications for individuals' health. This study aimed to evaluate the factors for referring obstructive sleep apnea patients to otolaryngologists in Iranian residency entrance examination volunteers. This cross-sectional study recruited volunteer participants from the Iranian Residency Entrance Examination on March 2, 2018. The Obstructive Sleep Apnea Knowledge and Attitudes (OSAKA)/the Obstructive Sleep Apnea Knowledge and Attitudes in Children (OSAKA-KIDS) Questionnaires were distributed among residents attending exam preparation. Number of years working as a physician, number of adult and pediatric patients visited during the academic rank in residency examination, and the main specialty during general physician education in which they get familiar with obstructive sleep apnea were documented. The effect of the mentioned variables evaluated on patient referral preference specialty. Of the 95 volunteers, 57.9% were female; mean age was 29.6 ± 3.3 years. The overall knowledge score of the OSAKA questionnaire was 9.85 ± 3.9 and for the OSAKA-KIDS questionnaire was 9.2 ± 4.9. In patients under 18 years of age, the most frequent referrals were from otolaryngology specialists (51.2%). The only factor which had positive significant effect on adult patient referral preference was source of obstructive sleep apnea knowledge during general physician taring (p < 0.001). Given the low awareness about OSA in candidates for the residency entrance exam and the high importance of this treatable disease, the need for comprehensive training courses during residency is warranted and the adequacy of sleep apnea education through all involved specialty during general physician education should be improved.

Cluster analysis of insomnia symptoms during COVID-19 pandemic: a general population web-based survey in Iran.

OBJECTIVE: To investigate the prevalence of insomnia and its different phenotypes as well as their association with fear of COVID-19 in the general population. MATERIAL AND METHODS: This was a cross-sectional study conducted using an online survey (e-poll). All available participants who completed the online survey form were included in the current study. All individuals with a history of sleep problems were excluded. A questionnaire package consisted of insomnia severity index (ISI), and FCV-19 for corona fear was administered for all participants. Insomnia was defined as ISI≥8. Insomnia phenotypes were considered as: (a) DIS: difficulty initiating sleep; (b) DMS: difficulty maintaining sleep; (c) EMA: early morning awakening; and (d) combined insomnia. RESULTS: A total of 1,223 participants [827 (67.6%) female, mean age=39.82±10.75 years old], enrolled in the current survey. Based on ISI, 675 (55.2% [95%CI=52.40-57.98]) were categorized into the insomnia group. Insomnia was more prevalent in females (p=0.006), participants with 50 years old or higher (p=0.04), or high fear of COVID-19 (p<0.0001). Totally, 67.4%, 66.4%, and 55% of all participants had DIS, DMS, and EMA, respectively, in the current outbreak. Besides, 79% had impaired daily functioning, 51.6% had impaired quality of life, and 62% were worried about their sleep problem. Notably that a considerable percentage of individuals with normal ISI scores had at least one insomnia phenotype or impaired daily functioning and quality of life. Further analyses revealed a significant increasing trend in all four insomnia phenotypes prevalence with an increase in fear of COVID-19 (all p-values<0.0001). CONCLUSION: Individuals with higher age, female gender, or higher fear of COVID-19 are at higher risk of all types of insomnia as well as impaired daytime performance or quality of life.

Dynamics of the COVID-19 Clinical Findings and the Serologic Response.

The factors affecting the dynamics of lengthening of symptoms and serologic responses are not well known. In order to see how the serologic responses change in relation to the clinical features, we selected a group of 472 adults with a positive IgM/IgG antibody test result from a baseline study of the anti-SARS-CoV-2 seropositivity, assessed their COVID-19 and past medical histories, and followed them up in about 3 months. Nearly one-fourth of the subjects were asymptomatic at the baseline; 12.8% subjects became symptomatic at the follow-up (FU) when 39.8% of the subjects had some persisting symptoms. At the baseline, 6.1% showed anti-SARS-CoV-2 IgM positive, 59.3% only for IgG, and 34.5% for both. At the FU, these figures declined to 0.6, 54.0, and 4.4%, respectively, with the mean IgM and IgG levels declining about 6.3 and 2.5 folds. Blood group A was consistently linked to both sustaining and flipping of the gastrointestinal (GI) and respiratory symptoms. The baseline IgM level was associated with GI symptoms and pre-existing cirrhosis in multivariate models. Both of the baseline and FU IgG levels were strongly associated with age, male, and lung involvement seen in chest computed tomography (CT)-scan. Finally, as compared with antibody decayers, IgM sustainers were found to be more anosmic [mean difference (MD): 11.5%; P = 0.047] with lower body mass index (BMI) (MD: 1.30 kg/m2; P = 0.002), while IgG sustainers were more commonly females (MD: 19.2%; P = 0.042) with shorter diarrhea duration in the FU (MD: 2.8 days; P = 0.027). Our findings indicate how the anti-SARS-CoV-2 serologic response and COVID-19 clinical presentations change in relation to each other and basic characteristics.

Sleep disturbance, psychiatric issues, and employment status of Iranian people living with HIV.

OBJECTIVES: There are limited studies on the psychological issues and sleep problems among the Iranian people living with HIV (HIV). In this study, we aimed to assess sleep disorders, psychiatric characteristics, and employment status among Iranian PLWH. RESULTS: In total, 304 PLWH with a mean age of 40.01 (SD = 9.60) years participated in the study. About 72% of the participants had a global PSQI score of more than 5, with a mean score of 7.71 (SD = 3.31). About 55.6%, 50%, and 67.4% of subjects had abnormal scores for depression, anxiety, and stress. Unemployed participants had 2.13 times more chance (95% CI 1.01-4.53) of having poor sleep quality compared to employed patients, and stress increased its likelihood by 3.18 times (95% CI 1.47-5.88).