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Additional file 1: Supplementary Table 1. Socio-demographic and health-related characteristics of participants based on self-reported sleep duration in male participants. Supplementary Table 2. Socio-demographic and health-related characteristics of participants based on self-reported sleep duration in female participants.

Introduction: To enhance the COVID-19 patients’ care and to optimize utilizing medical resources during the pandemic, relevant biomarkers are needed for prediction of the disease’s progression, the current study was aimed to determine the factors that effect on mortality of COVID-19 patients who admitted in Baharloo hospital in Iran. Methods: in the current retrospective study, 56 patients who were died because of COVID-19 infection were randomly selected from those who were admitted to Baharloo hospital. One patient who was diagnosed with COVID-19 and had recovered from it matched with each non-survived patient in the term of age. Laboratory tests of all these patients at the time of admission were recorded and compared. All analyses performed using spss version 22 by considering α:0.05 as a significant level. Results: There was no statistical difference in the age and gender distribution between the two groups (p>0.05). The prevalence of diabetes among survived patients was 37.5% and among non-survived patients was 26.8% and there was no statistical difference between two groups about this comorbidity (p:0.22). Also, there was no statistical difference in the prevalence of hypertension and coronary heart diseases between two groups (p>0.05). Lymphocyte percentage, Blood oxygen level, and platelet (PLT) count was significantly higher in patients who had recovered (P, Journal of Preventive Medicine and Hygiene, Vol. 62 No. 2 (2021): 2021622

Background. Coinfections have a potential role in increased morbidity and mortality rates during pandemics. Our investigation is aimed at evaluating the viral coinfection prevalence in COVID-19 patients. Methods. We systematically searched scientific databases, including Medline, Scopus, WOS, and Embase, from December 1, 2019, to December 30, 2020. Preprint servers such as medRxiv were also scanned to find other related preprint papers. All types of studies evaluating the viral coinfection prevalence in COVID-19 patients were considered. We applied the random effects model to pool all of the related studies. Results. Thirty-three studies including 10484 patients were identified. The viral coinfection estimated pooled prevalence was 12.58%; 95% CI: 7.31 to 18.96). Blood viruses (pooled prevalence: 12.48%; 95% CI: 8.57 to 16.93) had the most frequent viral coinfection, and respiratory viruses (pooled prevalence: 4.32%; 95% CI: 2.78 to 6.15) had less frequent viral coinfection. The herpesvirus pooled prevalence was 11.71% (95% CI: 3.02 to 24.80). Also, the maximum and minimum of viral coinfection pooled prevalence were in AMRO and EMRO with 15.63% (95% CI: 3.78 to 33.31) and 7.05% (95% CI: 3.84 to 11.07), respectively. Conclusion. The lowest rate of coinfection belonged to respiratory viruses. Blood-borne viruses had the highest coinfection rate. Our results provide important data about the prevalence of blood-borne viruses among COVID-19 patients which can be critical when it comes to their treatment procedure.

We used two national surveys (2010: N = 1597; 2013: N = 1057) of people who inject drugs (PWID) in past-month to assess the prevalence and population size of PWID with either safe or unsafe injection and sex behaviors, overall and by HIV status. In 2013, only 27.0% (vs. 32.3% in 2010) had safe injection and sex, 24.6% (vs. 23.3% in 2010) had unsafe injection and sex, 26.4% (vs. 26.5% in 2010) had only unsafe injection, and 22.0% (vs. 18.0% in 2010) had unsafe sex only. Among HIV-positive PWID in 2013, only 22.1% (~ 2200 persons) had safe injection and sex, 14.2% (~ 1400 persons) had unsafe injection and sex, 53.1% (~ 5200 persons) had unsafe injection, and 10.6% had unsafe sex (~ 1100 persons). Among HIV-negative PWID in 2013, only 27.5% (~ 22,200 persons) had safe injection and sex, 25.9% (~ 20,900 PWID) had unsafe injection and sex, 23.2% (~ 18,700 persons) had unsafe injection, and 23.3% (~ 18,800 persons) had unsafe sex. HIV-positive and -negative PWID in Iran continue to be at risk of HIV acquisition or transmission which calls for targeted preventions services.

Introduction: influenza is one of the main public health problems and Health Care Personnel's is one of the at-risk groups for this infection. So regarding this point, the goal of this research was to identify the beliefs and attitudes of the HCPs (Health Care Personnel) about influenza and the influenza vaccine. Methods: This cross-sectional study was planned in a general hospital in Tehran; Iran from January to June 2016.A total of 418 questionnaires was distributed among the HCPs. The entire data set was analyzed using the SPSS. We used the Chi2 test, linear regression and one-way ANOVA for data analysis. P-values less than 0.05 were considered as statistically significant. Results: The influenza vaccination coverage was 57.7%; the highest vaccine rate belonged to the allied health professionals (68.2%). Two main causes for avoiding the influenza vaccination were; the “fear of vaccine adverse effects” and the “uncertainty about the vaccine effectiveness”. The linear regression analysis identified that the physicians had the highest belief score, followed by the nurses and the allied health professionals (p, Journal of Preventive Medicine and Hygiene, Vol 60 No 3 (2019): 2019603

Objectives The aim of this study was to investigate the clinical and demographic characteristics and some laboratory findings of hospitalized patients with acute opioid toxicity and rhabdomyolysis. Methods This cross-sectional study investigated 354 patients hospitalized at Baharloo Hospital in Tehran in 2014 with acute illicit drug toxicity. Data were collected using an investigator-made checklist. The collected data (such as mortality rate, demographic data, and renal function tests, as well as serum biochemical findings) were analyzed by descriptive statistics and the chi-square test. Results A total of 354 patients were admitted to the hospital in 2014 with acute illicit drug toxicity, including 291 males and 63 females. The total number of patients with rhabdomyolysis was 76 (21.5% of the total), of whom 69 (90.8%) were male and 7 (9.2%) were female. Most cases of rhabdomyolysis were associated with methadone abuse, followed by opium abuse. Rhabdomyolysis was most common in those 20-29 and 30-39 years old, with methadone and opium the most commonly abused illicit drugs. The mean blood urea level was 3.8±1.0 mg/dL, and the mean serum potassium and sodium levels were 3.8±0.3 mg/dL and 140.4±4.0 mg/dL, respectively. Five patients, all of whom were male, passed away due to severe renal failure (6.5%). Conclusions Toxicity caused by opioids is associated with clinical complications and laboratory disorders, such as electrolyte disorders, which can lead to lethal or life-threatening results in some cases. Abnormal laboratory test findings should be identified in patients with opioid toxicity in order to initiate efficient treatment.