Aida Rastegarian; Marzieh Davoodi; Hossein Molavi Vardanjani; Malihe Sousani Tavabe; Mousa Ghelichi-Ghojogh; Alireza Salehi
Abstract
Background: Medical students are exposed to high risk mental health disorders. Owing to the higher probability of exposure to the mentioned risk factors among dorm-resident students and senior students, the present study was conducted to explore mental health disorder and its relationship with higher ...
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Background: Medical students are exposed to high risk mental health disorders. Owing to the higher probability of exposure to the mentioned risk factors among dorm-resident students and senior students, the present study was conducted to explore mental health disorder and its relationship with higher academic year and dorm residence, amongthe medical students of Shiraz University of Medical Sciences.Methods: This cross-sectional study was conducted among 270 medical students in 2019. A multi-stage random sampling was applied. A standardized self-administered questionnaire, which comprised of demographic variables and General Health Questionnaire-28, was used.Results: The mean age of the participants was 22.52±2.26 years. About 166 individuals (61.5%, CI 95%: 55.69, 67.30) showed symptoms of mental health disorders, and anxiety was the most common mental disorder with a prevalence of 16.7% in medical students. There were significant relationships between mental health and higher age (P=0.001), clinical phase students (P<0.001), single students (P=0.044), dorm residence (P<0.001), and those in poor economic condition (P=0.047).Conclusion: The chance of developing mental health disorders in dormitory students and in clinical phase students was 2.48 (CI 95%: 1.36, 4.53) and 2.97 (CI 95%: 2.12, 4.15) times higher than in non-dormitory and basic phase students, respectively. Due to the higher prevalence of mental health disorders among medical students compared to the general population, interventions should be done at the university level to promote the students’ mental health, especially clinical and dormitory students. In addition, policymakers should design and implement a comprehensive student mental health care program nationally.
Parisa Jooya; Neda Pouralimohamadi; Bisma Zulfaqar; Melika Arzhangzadeh; Seyed Amirhossein Shamszadeh; Behdad Tahayori
Abstract
Background: Up to this time, screening for people infected with coronavirus disease 2019 (COVID-19) relies on clinical symptoms. As a result, our study focused on establishing a relationship between clinical manifestations, risk factors, and the prognosis of COVID-19 for prompt intervention.Methods: ...
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Background: Up to this time, screening for people infected with coronavirus disease 2019 (COVID-19) relies on clinical symptoms. As a result, our study focused on establishing a relationship between clinical manifestations, risk factors, and the prognosis of COVID-19 for prompt intervention.Methods: This cross-sectional study was performed on patients with positive COVID-19 tests in Shiraz, Iran, from 2020 through 2021. Patients were randomly selected from those registered as COVID-19 positive in various family clinics affiliated with Shiraz University of Medical Sciences Health Centers. A telephone interview was conducted to gather necessary data about the clinical symptoms of 401 patients, their risk factors, and their prognosis of the disease in two weeks.Results: Body pain, followed by fever, were the most reported symptoms. Except for dyspnea that was related to hospitalization, no relation was found between initial clinical symptoms and hospitalization or 2-week recovery. We observed a statistically significant difference between different blood groups of patients concerning their rate of hospitalization and recovery after two weeks. A significant relationship between hypertension and hospitalization was seen.Conclusion: Body pain, fever, certain demographic aspects (such as older age), and comorbidities like hypertension showed strong associations with the severity and prognosis of COVID-19. Our results add to the growing body of evidence suggesting blood type may play a role in the prognosis of COVID-19.
Tayeb Mohammadi; Hadi Raeisi Shahraki; Jalal Poorolajal; Roya Najafi-Vosough; Khadijeh Najafi-Ghobadi; Javad Faradmal
Abstract
Background: Nowadays, breast cancer (BC) metastasis is a nightmare for women and one of the main challenges among researchers worldwide. Unlike traditional statistical methods that are not able to handle and take into account the complexity of effects and existence of interactions among predictor variables, ...
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Background: Nowadays, breast cancer (BC) metastasis is a nightmare for women and one of the main challenges among researchers worldwide. Unlike traditional statistical methods that are not able to handle and take into account the complexity of effects and existence of interactions among predictor variables, the decision trees can overcome these problems. This study aimed to predict and identify the main prognostic factors of BC metastasis status (binary response) using decision tree modeling.Methods: This retrospective cohort study was conducted on 375 patients with BC who had registered with the Comprehensive Cancer Control Center from 1998 to 2013. Some demographic features related to the conditions of the Person’s disease and the type of treatment received were recorded. We applied a tree-based approach using the Gini index as the homogeneity criterion to explore the factors affecting metastasis occurrence in BC patients.Results: The mean (SD) age of BC patients with and without metastasis was 55.7 (12.4) and 43.1 (7.2) years, respectively (P<0.001). The rate of metastasis was 33.3%. The five most important risk factors for metastasis of tumor proposed by tree diagram were age at diagnosis, grade of tumor, type of surgery, number of deliveries, and axillary surgery. The prediction accuracy of the proposed model was 84.3%, and its sensitivity and specificity were 66.4% and 93.2%, respectively.Conclusion: Age at diagnosis was the most important factor for predicting breast cancer metastasis, so that breast cancer patients aged over 54 were at high risk of metastasis.
Zahra Hemati; Mehrab Sayadi; Mehrzad Lotfi; Abdulrasool Hemmati; Fatemeh Azadian; Alireza Mirahmadizadeh; Fatemeh Rezaei; Babak Shirazi Yeganeh
Abstract
Background: The coronavirus disease 2019 (COVID-19) is rapidly spreading worldwide and becoming a pandemic. Since the diagnostic tests are relatively expensive, simple diagnostic tests are valuable for quarantining individuals suspicious of COVID- 19. This study is designed to predict the potential contributing ...
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Background: The coronavirus disease 2019 (COVID-19) is rapidly spreading worldwide and becoming a pandemic. Since the diagnostic tests are relatively expensive, simple diagnostic tests are valuable for quarantining individuals suspicious of COVID- 19. This study is designed to predict the potential contributing factors of COVID-19 diagnosis.Methods: It was a referral-based historical cohort study. 363358 individuals referred to the health centers from February to November 2020 in Fars province were entered in the study. The collected data before the lab test were symptoms, underlying diseases, some conditions, risk factors, and demographic information. The Reverse transcriptase polymerase chain reaction test was performed to identify the COVID-19 virus. Chi-square and T-tests were used to compare the variables. A logistic regression test was used to identify predictor variables.Results: Positive COVID-19 test was reported for 119,324 (% 34.9) participations. The positive group result was compared with that of the negative group (n=244,034). The studied symptoms were significant in positive patients. According to the odds ratio (OR), smell disorder (OR=3.80, P<0.001), taste disorder (OR=3.17, P<0.001), and fever (OR=2.65, P<0.001) were common. However, diarrhea, chest pain and dyspnea showed the lowest odds ratio. According to the results, DM (OR=1.46, P<0.001), HTN (OR=1.42, P<0.001), and CVD (OR=1.27, P<0.001) were common in patients with positive COVID-19 tests. Cases whose Body Mass Index (BMI) was more than 40 (excessive obesity) showed a higher odd (OR=1.45, P<0.001) for being positive.Conclusion: According to the results, the symptoms and underlying diseases are effective factors in predicting COVID- 19 disease. Identifying these factors for Covid-19 disease helps health policymakers to make quick decisions and take timely action.
Zahra Maleki; Haleh Ghaem; Mozhgan Seif; Sedigheh Foruhari
Abstract
Introduction: Therapeutic Abortion (TA) has been defined as termination of pregnancy before the 20th week of gestation in order to save the mother’s life and prevent birth defects.The present study aimed to investigate the incidence of TA and its related maternal-fetal risk factors.
Methods: This ...
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Introduction: Therapeutic Abortion (TA) has been defined as termination of pregnancy before the 20th week of gestation in order to save the mother’s life and prevent birth defects.The present study aimed to investigate the incidence of TA and its related maternal-fetal risk factors.
Methods: This historical cohort study reviewed 11000 birth records. Among these reviewed records, 83 cases of TA were identified. Then, for each case, three controls of live infants born in the same hospital on the same day were selected and matched for gestational age. We used a researcher-made questionnaire for data collection.
Results: The cumulative incidence of TA was computed 7.54 per 1000 live births. The results of multiple Cox regression model revealed that four risk factors including male gender; parental consanguinity; maternal diseases including gestational hypertension, gestational diabetes mellitus, hypothyroidism, infertility, the use of In Vitro Fertilization (IVF) and urinary tract infection; and maternal medication consumption increased the risk of TA (all hazard ratios > 1: p<0.05).
Conclusion: For the first time, we assessed the incidence of TA through this population-based cohort study in Iran. Importantly, parental consanguinity was one of the predictors of TA revealed in this study. Identification of the causes of TA would prevent the birth of infants with congenital anomalies.
Kourosh Mokhtari; Hossein Mazaheri; Amir Hossein Baghaie; Ali Hassani Joshaghani
Abstract
Background: High concentration of heavy metals and NO 3 in vegetables may pose serious health risks to humans. Therefore, this research was done to evaluate the carcinogenic and non- carcinogenic risk of heavy metals and NO 3 due to the consumption of most important greenhouse vegetables produced in ...
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Background: High concentration of heavy metals and NO 3 in vegetables may pose serious health risks to humans. Therefore, this research was done to evaluate the carcinogenic and non- carcinogenic risk of heavy metals and NO 3 due to the consumption of most important greenhouse vegetables produced in Markazi province. Methods: In this descriptive study, sampling of cucumber, tomato, and bell pepper produced in the greenhouses of Markazi province was done randomly and the concentration of Pb, Cd, Cu, Ni and NO 3 of them were determined. Non-cancer risk related to heavy metals and NO 3 sorption from vegetables was evaluated using the EPA method for men and women. Results: The mean concentration of all the studied metals except Cu was in the allowable concentration range. The mean concentration of NO 3 in the cucumber was 300 mg/kg FW, which was about 1.5 times higher than the maximum allowable concentration of that in vegetables. The HQ of Pb, Cd, Ni, Cu and NO 3 for all population groups were smaller than 1. The results showed that NO 3 and Pb were the major risk contributor for the consumers. The excess lifetime cancer risks of Ni for all receptor groups were greater than 1×10 −6 . Conclusion: The results of this study showed that the total risk index of heavy metals and NO 3 through consumption of greenhouse vegetables grown in Markazi province was below one. Also, in the most age groups this index is greater for women related to the men.
