Prediction of preventive behaviors of cutaneous leishmaniasis in the endemic areas of northwest Iran: an application of BASNEF model.

Cutaneous leishmaniasis (CL) is a disease transmitted by mosquitoes and is endemic in many regions of the world and Iran, and annually imposes a large burden on the health system. This study was conducted to identify the effective factors in the preventive behaviors of CL based on the BASNEF model in endemic areas in the northwest of Iran. This cross-sectional study was conducted in Bileh-Savar, 'endemic areas of Ardabil Province, Iran', from June 2022 to October 2022. 200 non-patients were included in the study by a multi-stage sampling method. A standard questionnaire based on the BASNEF model was applied for data collection. The data were analyzed using SPSS version 25. Means and standard deviations were calculated to describe the continuous variables, and multivariate linear regression analysis was used to determine the prediction of intention and behavior by the model structures. The BASNEF constructs predict 27% of behavioral intention changes. Among the constructs, attitude has a greater contribution in predicting changes (R2 = 0.27, p < 0.01). Also, the results showed that the BASNEF constructs predict 23% of behavior changes. Among the constructs, enabling factors have a greater contribution to predicting changes (R2 = 0.23, p < 0.01). This finding shows that behavior is more influenced by environmental factors, and educational interventions based on behavior change models, along with providing environmental conditions, can facilitate behavior change.

Knowledge, attitude, and practice of Iranian adults toward Persian Medicine: a national survey.

BACKGROUND: Previous researches conducted in both developed and developing countries have demonstrated a rising trend in the utilization of complementary and alternative medicine. The World Health Organization has underscored the importance of studying the prevalence and determinants of such alternative practices. This study delves into the knowledge, attitudes, and practices of Iranian adults towards Persian medicine, a distinct form of complementary and alternative medicine, through a national survey for the first time. METHODS: A total of 2882 Iranian adults (aged ≥ 15 years) were randomly chosen from all regions. Data were gathered through structured door-to-door interviews using a survey questionnaire, wherein cases were selected randomly based on postal codes, and interviewers completed the forms at the participants' residences. RESULTS: Approximately 46% of the subjects exhibited familiarity with Persian Medicine. The study revealed that the primary sources of knowledge about Persian Medicine were family, relatives, and friends, with only 2.9% indicating medical staff as their source of information. Furthermore, the study indicated that 21% of participants expressed a strong interest in using Persian Medicine, while 30.3% did not. When comparing Persian medicine to modern medicine, respondents indicated that Persian medicine is more cost-effective and has fewer side effects, yet modern medicine is more widely used globally; although, the majority responded "I don't know" to other questions. The results also demonstrated that approximately 37% of the participants had a history of Persian Medicine utilization in their lifetime. CONCLUSION: This study revealed that Iranian adults have low reliable knowledge (from medical staff, Persian medicine books and other publications) and limited familiarity with Persian medicine, with about one third of the participants expressing disinterest (attitude) and over half of them having not utilized this form of medicine (practice).

Knowledge, attitudes, and practices regarding brucellosis in a rural population: A cross-sectional study.

Brucellosis is recognized as a significant global zoonotic infection that disproportionately affects low-income settings. A community cross-sectional survey was carried out in a rural setting of northwest Iran between February and May 2023. Rural individuals were interviewed according to a questionnaire with questions about demographic characteristics, knowledge, attitudes, and practices relating to human brucellosis. We employed descriptive statistics to study knowledge, attitudes, and practice patterns. In addition, we applied a multivariable logistic regression model to assess potential predictors of knowledge, attitudes, and practice related to brucellosis using odds ratios and 95% confidence intervals. Among 700 participants, 91.1% were aware of brucellosis, and 85.7% identified cows, sheep, and goats as primary transmission sources. 75.6% and 78.7% recognized transmission risks via unpasteurized and raw milk products. 60.5% understood the benefits of boiling milk and using gloves. Attitudinally, 64.3% perceived higher risk for livestock owners and supported practices like milk pasteurization (70.5%), protective gear (84.4%), handwashing (92.2%), and animal vaccination (71.0%). 90% expressed a need for more information. In practice, 44.8% exclusively consumed boiled and pasteurized milk, 37.8% consumed fresh cheese, and 92.2% solely consumed thoroughly cooked animal meat. Logistic regression revealed that higher education and no prior history of the disease correlated with good knowledge and attitudes, while older participants displayed inappropriate practices compared to their younger counterparts. This study highlights the reasonably high awareness of brucellosis, particularly regarding transmission sources and preventive measures. However, the gaps in knowledge, attitudes, and practices still exist, with education level emerging as a significant factor. To improve prevention practices, tailored interventions addressing age-related disparities are necessary.

Characteristics of suicide attempts in Northwestern Iran: a five-year population-based survey.

BACKGROUND: Suicide is a serious public health problem in the world. This study aims to describe the characteristics of suicide attempters in North-Western Iran and identify latent classes of suicide attempts. METHODS: This cross-sectional study was conducted in Ardabil Province (Northwest Iran) during 2017-2021 based on a registration system for suicide attempts. We performed latent class analysis (LCA) using a procedure for LCA (PROC LCA) in SAS to investigate the subgroups of suicide attempters based on their characteristics and method, history, and outcome of suicide. RESULTS: Three latent classes were identified for males and females; the first class (non-lethal attempters with lower educational levels) comprised 41.3% of males and 55.4% of females. The second class (non-lethal attempters with higher educational levels) described 52.4% of males and 42.7% of females. Finally, the third class (lethal attempters) included 6.4% of males and 1.9% of females. The main method of suicide attempts was poisoning with medications (87.3%). The results show that only 2.8% of people have a history of suicide attempts. Also, the suicide rate reached 8.26 per 100,000 population in 2021. CONCLUSION: The present study showed an increasing trend of suicide attempt incidence rate in Ardabil Province from 2017 (99.49 per 100,000 population) to 2021 (247.41 per 100,000 population). This means that the rate of change was 147.92 per 100,000 population during the study period. The findings of LCA, stress the necessity of identification and prioritization of unmet needs of people who had an incomplete suicide in Ardabil.

Association between living in the endemic area and level of knowledge of visceral leishmaniasis.

BACKGROUND: Iran is a country with a high prevalence of visceral leishmaniasis (VL) and seven endemic provinces. In this study, we tried to identify unobserved classes of knowledge among Iranians toward VL and assess the predictors of each latent class. METHODS: This cross-sectional study was conducted among randomly selected participants from endemic and non-endemic areas of VL in Iran in 2020 and 2021. The collected data included demographic characteristics and questions about knowledge, attitude, and practice toward VL. We performed latent class analysis using a procedure for latent class analysis (PROC LCA) in SAS to identify the class membership of knowledge of participants toward VL. RESULTS: Five latent classes were identified: very low (38.9%), low (15.5%), moderate (6.2%), high (14.1%), and very high (25.2%) knowledge about VL. Living in endemic areas significantly increased the odds of belonging to the low (adjusted OR (AOR = 7.23; 95% confidence interval (CI):4.52-11.58), high (AOR = 2.71; 95%CI: 1.73-4.23), and very high (AOR = 8.47; 95%CI: 5.78-12.41) classes compared to the very low class. Also, having academic education increased the odds of membership in the very high class (AOR = 2.36; 95%CI: 1.61-3.47) compared to the very low class. CONCLUSION: This study revealed that more than 50% of the participants fell into the latent classes of very low and low knowledge toward VL. Some educational workshops in the endemic areas could be effective in enhancing knowledge about VL.

The COVID-19 pandemic's true death toll in Iran after two years: an interrupted time series analysis of weekly all-cause mortality data.

INTRODUCTION: This study aimed to investigate overall and age group/region/sex-specific excess all-cause mortality from the inception of the COVID-19 pandemic in Iran until February 2022. METHODS: Weekly all-cause mortality data were obtained for the period March 2015 until February 2022. We conducted interrupted time series analyses, using a generalized least-square regression model to estimate excess mortality after the COVID-19 pandemic. Using this approach, we estimated the expected post-pandemic death counts based on five years of pre-pandemic data and compared the results with observed mortality during the pandemic. RESULTS: After the COVID-19 pandemic, we observed an immediate increase (1,934 deaths per week, p = 0.01) in weekly all-cause mortality. An estimated 240,390 excess deaths were observed in two years after the pandemic. Within the same period, 136,166 deaths were officially attributed to COVID-19. The excess mortality was greatest among males compared with females (326 versus 264 per 100k), with an increasing trend by age group. There is a clear increased excess mortality in the central and northwestern provinces. CONCLUSION: We found that the full mortality burden during the outbreak has been much heavier than what is officially reported, with clear differences by sex, age group, and geographical region.

Multiple Substance Use Patterns and Its Relationship with Imprisonment in a High-Risk Group of Iranian Adults.

BACKGROUND: Substance use is recognized as an important factor associated with many diseases and premature deaths and the main risk factor for disability worldwide. This study aims to identify subgroups of substance use in adults and detect the effect of imprisonment on the membership of participants in latent classes of substance use. Study Design: A cross-sectional study. METHODS: This study was performed on 930 adult people who were referred to behavioral health counseling centers in Tehran province. All participants completed some checklists and questionnaires. Data analysis was performed using chi-square, Fisher's exact test, and latent class analysis (LCA). RESULTS: Four latent classes were identified, including non-users (58%), cigarette smokers (11.6%), users of low stigma substances (27.4%), and drug users (3.1%). After adjusting for other studied variables, having a history of imprisonment increased the odds of membership in the cigarette smoker class (Odds ratio [OR]=5.82, 95%, confidence interval [CI]: 3.19-10.63) and drug user class (OR=53.59, 95% CI: 18.00- 159.52) compared to non-user class. Among all participants, 84 (9.0%) had a history of imprisonment. CONCLUSION: Results from the present study indicate that 30.5% of the participants fell under the user of the low-stigma substance or drug user group. Focusing on increasing prisoner's knowledge of the dangers of using different substances and considering various programs for prisoners' leisure time may help reduce substance use prevalence.

Risk-Taking Behaviors Considering Internet Gaming Disorder among Iranian University Students: A Latent Class Analysis.

BACKGROUND: Dangerous behaviors adversely affect the health of adolescents and young adults. This study aimed to identify the subgroups of college students based on the parameters of risky behavior and analyze the impact of demographic factors and internet gaming disorder (IGD) belonging to each class. STUDY DESIGN: A cross-sectional study. METHODS: The study was conducted on 1355 students through a multi-stage random sampling method in 2020. A survey questionnaire was used to collect data, and all students completed 1294 sets of questionnaires. The data were analyzed using t test and latent class analysis (LCA) through SPSS and PROC LCA in SAS 9.2 software. RESULTS: Three latent classes have been identified as low-risk (75%), tobacco smoker (8%), and high-risk (17%). There was a high possibility of risky behavior in the third class. Marital status (being single) (OR = 2.28, 95% CI: 1.19-4.37), unemployment (having no job) along with education (OR = 1.56, 95% CI: 1.04-2.33), and IGD (OR = 1.06, 95% CI: 1.04-1.09) increased the risk of inclusion in the tobacco smoker class. Moreover, unemployment (having no job) along with education (OR = 1.43, 95% CI: 1.11-1.84) increased the chance of being in the high-risk class. CONCLUSION: According to the findings of this study, 25% of the students were tobacco smokers or were in the high-risk class. The results of this study may help develop and evaluate preventive strategies that simultaneously take into account different behaviors.

Association between quality of life, sleep quality and mental disorders in Iranian older adults.

Aging as a major challenge can affect the development and growth of countries all around the world. This study aimed to identify the subgroups of the elderly based on the quality of life (Qol), sleep quality, and common mental disorders and assess the role of demographic characteristics on the membership of participants in each latent class. This cross-sectional study was conducted on 1064 people over the age of 60 years. The sample was selected through cluster sampling in northern Iran. All participants completed six sets of checklists and questionnaires. Data analysis was performed using latent class analysis. Three latent classes were identified; namely, (1) healthy (66.8%), (2) anxious and with poor sleep quality (28.6%), and unhealthy (4.6%). Being Female significantly increased the odds of membership in classes 2 and 3 compared to class 1. Furthermore, living in urban areas increased the odds of belonging to class 2 and class 3 compared to class 1. Illiteracy was also shown to increase the odds of being in class 3 in comparison to class 1. Results from the present indicate that the co-occurrence of health problems in 33.2% of the elderly was observed in various forms. The results of this study can be used in prioritizing health programs for the elderly and emphasizing high-risk groups.

The probability of diagnostic delays for tuberculosis and its associated risk factors in northwest Iran from 2005 to 2016: a survival analysis using tuberculosis surveillance data.

OBJECTIVES: Early diagnosis is essential for effective tuberculosis (TB) control programs. Therefore, this study examined the risk of delays in TB diagnosis and associated factors in Ardabil Province in northwest Iran from 2005 to 2016. METHODS: This longitudinal retrospective cohort study was conducted using data obtained from the Iranian National Tuberculosis Control Program at the provincial level between 2005 and 2016. The total delay in diagnosis was defined as the time interval (days) between the onset of symptoms and TB diagnosis. Survival analysis was conducted to analyze the delay in diagnosis. Associated factors were identified using a Cox proportional hazards model. RESULTS: A total of 1,367 new TB cases were identified. The 12-year median diagnostic delay was 45 days (interquartile range [IQR], 30-87). The annual median diagnostic delay decreased from 68 days (IQR, 33-131) in 2005 to 31 days (IQR, 30-62) in 2016. The probability of a delay in TB diagnosis decreased by 5.0% each year (hazard ratio [HR], 1.05; 95% confidence interval [CI], 1.04 to 1.07). Residence in a non-capital county (HR, 0.83; 95% CI, 0.74 to 0.92) and referral from the private health system (HR, 0.74%; 95% CI, 0.65 to 0.84) were significantly associated with an increased risk of delay in TB diagnosis over the 12-year study period. CONCLUSIONS: The median delay decreased during the study period. We identified factors associated with a longer delay in TB diagnosis. These findings may be useful for further TB control plans and policies in Iran.

Latent class analysis of occupational accidents patterns among Iranian industry workers.

Occupational accidents (OA) are among the main causes of disabilities and death in developing and developed countries. The aims of this study were to identify the subgroups of OA and assess the independent role of demographic characteristics on the membership of participants in each latent class. This cross-sectional study was performed on 290 workers between 2011 and 2017. Data gathering was done using the reports of accidents recorded in filed lawsuits. Descriptive statistical analysis was done using SPSS 16 and LCA was done using PROC LCA in SAS9.2. For latent classes were identified; namely "critical due to distractions and lack of supervision" (40.1%), "critical due to lack of safety knowledge" (27.9%), "critical due to fatigue and lack of supervision" (13.1%), and "catastrophic" (18.8%). After adjusting for other studied covariates, being illiterate significantly increased the odds of membership in "critical due to fatigue and lack of supervision" (OR = 4.05) and "catastrophic" (OR = 18.99) classes compared to "critical due to distractions and lack of supervision" class. Results of this study showed that the majority of workers fell under the latent class of critical due to distractions and lack of supervision. In addition, it should be noted that although a relatively small percentage of the workers are in the catastrophic class, the probability of occurring death is quite high in this class. Focusing on the education of workers and enhancing manager's supervision and employing educated workers could help in reducing severe and catastrophic OA.

Health beliefs and behaviors of livestock industry workers regarding Crimean-Congo hemorrhagic fever in Northwest of Iran.

BACKGROUND: Crimean-Congo hemorrhagic fever (CCHF) is an acute, feverous disease that is caused by tick bites or humans' direct contact with the blood and tissues of infected livestock and humans. The transmission of the disease is also possible via human-to-human contacts and nosocomial transmission is well described. The majority of patients suffering from this disease are slaughterhouse workers (including butchers), farmers, veterinarians and hospital staff. Thus, this study aimed to investigate the health behaviors of butchers regarding CCHF and study factors affecting such behaviors based on the health belief model. METHODS: This is a descriptive cross-sectional study conducted on 500 butchers in Ardabil Province in 2020 by a multistage sampling method. The participants of the study completed the researcher-made questionnaire of health belief model and health behaviors model relevant to CCHF. The collected data were then analyzed by descriptive statistical tests and linear regression analysis. RESULTS: The mean (SD) age of the participants was 44.4 (10.5) years, and 96% were males. Only 11.1% of the participants displayed acceptable disease-preventive behaviors. The validity and reliability of the developed questionnaire were confirmed. The results of the exploratory factor analysis showed that the constructs of the model explained 84% of the total variance. The results of the study revealed that among the variables of the health belief model, perceived susceptibility (p-value = 0.006, ß = 0.152) and perceived barriers (p-value = 0.023, ß = 0.14) were the strongest factors predicting disease-preventive behaviors regarding CCHF. CONCLUSION: The results of the study showed that the health belief model can predict preventive behaviors for CCHF. Therefore, designing and executing interventions based on the results of this study may encourage such preventive behaviors in butchers.

Latent class analysis of initial nicotine dependence among adult waterpipe smokers.

Waterpipe (WP) tobacco smoking increases the risk of smoking-related health problems. In this study, we sought to identify the unobserved class memberships of WP-associated initial nicotine dependence (ND) symptoms and assess the predictors of each latent class. This cross-sectional study was conducted among a convenience sample of 900 current (past 30-day) WP smokers who were recruited from 94 WP-serving venues surrounding Tehran and Ardebil metropolitans in Iran. All participants completed a self-administrated questionnaire. We performed latent class analysis using PROC LCA in SAS to identify class memberships of initial ND symptoms using 10-item Hooked on Nicotine Checklist. Five latent classes were identified as non-dependent (25.4 %), low dependent (7.1 %), low-moderate dependent (19.6 %), moderate dependent (15.6 %), and high dependent (32.2 %). Using flavored WP tobacco significantly increased the odds of belonging to low-moderate dependent class [adjusted OR (aOR) = 1.89; 95 % confidence interval (CI): 1.07-3.34] compared to non-dependent class. Also, having academic education decreased the odds of belonging to low-moderate dependent (aOR = 0.43; 95 %CI: 0.26-0.67) and moderate dependent (aOR = 0.39; 95 %CI: 0.23-0.67) class in comparison to non-dependent class. Also, WP smoking initiation at an older age was associated with belonging to high dependent (OR = 2.05; 95 %CI: 1.39-3.03) class compared to non-dependent. This study revealed that nearly half of WP smokers fell under moderate and high-dependent classes. Our findings showed that some items of HONC had more role in the clustering of participants based on ND symptoms. The WP-specific cessation programs and targeted clinical trials should consider the diversity of ND levels among smokers to achieve successful quit rates among these smokers. Additionally, limiting flavors would be a strong strategy to limit the rate of ND, especially among young people who are eager to smoke flavored WP tobacco.

Mental disorders pattern in staff of a military unit in Iran: the role of metabolic syndrome on latent class membership.

INTRODUCTION: Mental disorders are among the most prevalent health problems of the adult population in the world. This study aimed to identify the subgroups of staff based on mental disorders and assess the independent role of metabolic syndrome (MetS) on the membership of participants in each latent class. METHODS: This cross-sectional study was conducted among 694 staff of a military unit in Tehran in 2017. All staff of this military unit was invited to participate in this study. The collected data included demographic characteristics, anthropometric measures, blood pressure, biochemical parameters, and mental disorders. We performed latent class analysis using a procedure for latent class analysis (PROC LCA) in SAS to identify class membership of mental disorders using Symptom Checklist-90. RESULTS: Three latent classes were identified as healthy (92.7%), mild (4.9%), and severe (2.4%) mental disorders. Having higher age significantly decreased the odds of belonging to the mild class (adjusted OR (aOR = 0.21; 95% confidence interval (CI): 0.05-0.83) compared to the healthy class. Also, obesity decreased the odds of membership in mild class (aOR = 0.10, 95% CI: 0.01-0.92) compared to healthy class. On the other hand, being female increased the odds of being in severe class (aOR = 9.76; 95% CI: 1.35-70.65) class in comparison to healthy class. CONCLUSION: This study revealed that 7.3% of staff fell under mild and severe classes. Considering educational workshops in the workplace about mental disorders could be effective in enhancing staff's knowledge of these disorders. Also, treatment of comorbid mental disorders may help reduce their prevalence and comorbidity.

Case fatality rate of COVID-19: a systematic review and meta-analysis.

OBJECTIVE: The ongoing novel coronavirus disease 2019 (COVID-19) is the leading cause of morbidity and mortality due to its contagious nature and absence of vaccine and treatment. Although numerous primary studies reported extremely variable case fatality rate (CFR) of COVID-19, no review study attempted to estimate the CFR of COVID-19. The current systematic review and meta-analysis were aimed to assess the pooled CFR of COVID-19. METHODS: Electronic databases: PubMed, Science Direct, Scopus, and Google Scholar were searched to retrieve the eligible primary studies that reported CFR of COVID-19. Keywords: ("COVID-19"OR "COVID-2019" OR "severe acute respiratory syndrome coronavirus 2"OR "severe acute respiratory syndrome coronavirus 2" OR "2019-nCoV" OR "SARS-CoV-2" OR "2019nCoV" OR (("Wuhan" AND ("coronavirus" OR "coronavirus")) AND (2019/12[PDAT] OR 2020[PDAT]))) AND ("mortality "OR "mortality" OR ("case" AND "fatality" AND "rate") OR "case fatality rate") were used as free text and MeSH term in searching process. A random-effects model was used to estimate the CFR in this study. I2 statistics, Cochran's Q test, and T2 were used to assess the functional heterogeneity between included studies. RESULTS: The overall pooled CFR of COVID 19 was 10.0%(95% CI: 8.0-11.0); P < 0.001; I2 = 99.7). The pooled CFR of COVID-19 in general population was 1.0% (95% CI: 1.0-3.0); P < 0.001; I2 = 94.3), while in hospitalized patients was 13.0% (95% CI: 9.0-17.0); P < 0.001, I2 = 95.6). The pooled CFR in patients admitted in intensive care unit (ICU) was 37.0% (95% CI: 24.0-51.0); P < 0.001, I2 = 97.8) and in patients older than 50 years was 19.0% (95% CI: 13.0-24.0); P < 0.001; I2 = 99.8). CONCLUSION: The present review results highlighted the need for transparency in testing and reporting policies and denominators used in CFR estimation. It is also necessary to report the case's age, sex, and the comorbidity distribution of all patients, which essential in comparing the CFR among different segments of the population.

Spatial Distribution of Ticks (Arachniada: Argasidae and Ixodidae) and Their Infection Rate to Crimean-Congo Hemorrhagic Fever Virus in Iran.

BACKGROUND: The Crimean-Congo Hemorrhagic Fever (CCHF) is one of the most important arthropod-borne viral diseases with a mortality rate of about 30% among humans. The disease, caused by a Nairovirus, is transmitted to humans and animals by hard and soft ticks. This study aimed to determine the distribution of soft and hard ticks in the past three decades in Iran with an emphasis on the vectors of the CCHF virus. METHODS: In this study, all studies that were carried out in different regions of Iran from 1979 to 2018 and their results were published in prestigious journals were used to create a database. The distribution of ticks was mapped using ArcMap10.3. RESULTS: Based on the results, nine genera and 37 species of soft and hard ticks were recorded in Iran. So far, six genera and 16 species of hard and soft ticks were reported to be infected with the CCHF virus. The infection to this virus was reported from 18 out of 31 provinces, with a high rate in Sistan and Baluchistan as well as Khuzestan provinces. The highest levels of CCHF infection belonged to Hyalomma marginatum and H. anatolicum. CONCLUSION: The main vectors of CCHF, H. marginatum and H. anatolicum, were reported in more than 38.7% of Iran's provinces, and these two species were identified as invasive species in Iran. Thus, control activities should be strengthened to avoid the outbreaks of CCHF.

Epidemiological characteristics and mortality risk factors among COVID-19 patients in Ardabil, Northwest of Iran.

BACKGROUND: Coronavirus disease highly contagious, is prevalent in all age and sex groups infecting the respiratory system. The present study seeks to investigate the epidemiology and effective factors in mortality of patients with COVID-19 in Ardabil province, northwestern Iran. METHODS: In a retrospective study, the hospitalized patients with laboratory-diagnosed COVID-19 between February to August 2020 were enrolled. The data registration portal was designated according to Iranian Ministry of Health and Medical Education guidelines. In this portal, demographic information, clinical presentation, laboratory and imaging data were registered for patients in all hospitals in the same format. The Hosmer-Lemeshow strategy was used for variable selection in a multiple model. RESULTS: Of the patients involved 2812(50.3%) were male and 150 (2.7%) had contact with a confirmed case of COVID-19 in the last 14 days. Pre-existing comorbidity was reported in 1310 (23.4%) patients. Of all patients, 477(8.5%) died due to COVID-19. the result of the multiple logistic regression model indicated that after adjusting for other factors, higher age (OR = 3.11), fever or chills (OR = 1.61), shortness of breath (OR = 1.82), fatigue (OR = 0.71), headache (OR = 0.64), runny nose (OR = 1.54), Skeletal muscle pain (OR = 1.53), hospitalization (OR = 5.66), and hospitalization in ICU (OR = 5.12) were associated with death. CONCLUSIONS: Hospitalization had the strongest effect on mortality followed by hospitalization in ICU, and higher age. This study showed that having some extra-pulmonary symptoms in contrast with pulmonary symptoms can predict as good prognostic factors.

Investigating the relationship between occupation and SARS-CoV2.

BACKGROUND: Coronaviruses are a large family of viruses that have symptoms ranging from simple symptoms of colds to severe respiratory syndromes. In December 2019, cases of unknown pneumonia first appeared in Wuhan, China. OBJECTIVE: The purpose of this study was to investigate the relationship between occupation and COVID-19 in the Ardabil Imam Khomeini hospital. METHODS: This research was conducted as a cross-sectional and descriptive study. The questionnaires used in this study included demographic information to obtain the required information such as age, sex, clinical symptoms, underlying disease, type of drug used, smoking, occupation, hours of work, number of daily clients, use of mask or shield, type of working hours, weight and height and body mass index, number family, place of residence, role in the family, presence of an infected person in the family, communication with the suspect, observance or non-observance of health protocols. Our sample size consisted of 774 subjects, all patients at the Ardabil Imam Khomeini Hospital. The subjects were selected randomly. RESULTS: The results of this study showed that the mean age of patients was 56.70 years, with a standard deviation of 18.20 years. Three hundred and sixty participants (46.5%) were female, and 414 (53.5%) were male. In terms of occupation distribution, 317 patients (41%) were housewives. In addition, 57 people (7.4%) were farmers or ranchers. CONCLUSION: In general, it can be concluded that due to severity of infection and threat posed by Coronavirus and the risk of infections between different occupations like the taxi driver and medical staff, it is very important to find out what jobs are in the big threat.

Pattern of Crimean-Congo hemorrhagic fever related high risk behaviors among Iranian butchers and its relation to perceived self-efficacy.

BACKGROUND: Crimean-Congo hemorrhagic fever (CCHF) is highly fatal to humans and an acute viral disease. The CCHF disease has been reported in occupations such as butchers, slaughterhouse butchers and workers. The aim of this study was to investigate the pattern of CCHF related high risk behaviors among butchers and determine the effects of perceived self-efficacy of the participants on their membership in latent classes. METHODS: The participants of this cross-sectional study were recruited from all the meat distribution centers in Ardabil Province in 2019-2020. The LCA approach was used to observe the CCFH related high risk behaviors patterns. RESULTS: The statistical significance level was assigned at P-value < 0.05 in all the analyses. Three latent classes were identified; namely, 1) low risk (16.1%), 2) high risk (53.6%), and 3) very high risk (30.2%). After adjusting for other possible confounders higher score of perceived self-efficacy significantly decrease the odds of membership in high risk class (OR = 0.74) and very high risk class (OR = 0.62) compared to the low risk class. Also, age (OR = 1.07) and experience (OR = 0.91) associate with very high risk class. CONCLUSIONS: This study revealed the co-occurrence of CCHF related high risk behaviors in the majority of workers in the livestock and meat industry. It is necessary to provide butchers and slaughterhouse workers with general education, force them to use protective equipment and investigate the rate of tick bites in risky occupations.