Akram Sadat Jafari Roodbandi; Alireza Choobineh; Vafa Feyzi; Zohre Foroozanfar; Nazanin Hosseini
Abstract
Background: Physical fitness and optimum functional movement are essential for efficient performance of job tasks without fatigue and injury. This study aimed to investigate the relationship between Functional Movement Screening (FMS) test score and prevalence of Musculoskeletal symptoms (MSSs) in emergency ...
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Background: Physical fitness and optimum functional movement are essential for efficient performance of job tasks without fatigue and injury. This study aimed to investigate the relationship between Functional Movement Screening (FMS) test score and prevalence of Musculoskeletal symptoms (MSSs) in emergency nurses and Emergency Medical Services (EMS) staff. The present study also sought to determine optimum cut-off point of FMS test score in health personnel.Methods: This cross-sectional study was conducted on 134 male and female emergency nurses and EMS technicians. After watching a video tutorial and undergoing practical training of how to do the FMS test, the participants carried out the test while wearing comfortable clothes. In addition to the demographic data questionnaire, Nordic musculoskeletal questionnaire was also completed for each participant. The data were analyzed using the SPSS software, version 18 at the significance level of 0.05.Results: Totally, 49.3% (n=66) of the participants were female. The subjects’ mean age and work experience were 35.3±8.7 and 11.4±7.7 years, respectively. Cut-off point of 17 was determined with the highest sensitivity (0.71) and specificity (0.71) based on ROC curve. The highest prevalence of MSSs was observed in the knees (n=44, 32.8%) and lower back (n=31, 23.1%). Multiple linear regression modeling also showed that age, sex, and the prevalence of MSSs were significantly associated with the FMS test score.Conclusion: FMS test seems to be an appropriate screening tool in pre-employment and periodic medical tests for jobs requiring physical fitness and optimum functional movements.
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.
Hamidreza Tabatabaee; Parvin Afsar-kazerooni; Yousef Alimohamadi; Alireza Hasanabadi; Fatemeh Khavandegaran; Katayoun Tayeri; Abbas Rezaianzadeh; Jafar Hasanzadeh
Volume 3, Issue 1 , January 2015, , Pages 13-19
Abstract
Background: Intensified strategy includes special attention to the symptoms such as cough (more than two weeks), fever (more than three weeks), night sweats (more than three weeks), and weight loss (more than 3 kg per month). If any of the above symptoms was positive, in suspected individuals for TB, ...
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Background: Intensified strategy includes special attention to the symptoms such as cough (more than two weeks), fever (more than three weeks), night sweats (more than three weeks), and weight loss (more than 3 kg per month). If any of the above symptoms was positive, in suspected individuals for TB, more assessment should be done. The aim of this study was to compare between intensified and routine case finding for a better case selection method for diagnosis of pulmonary tuberculosis among HIV-Infected Persons.Methods: The sample size was calculated 237 patients (474 for the two groups). In the current study, the patients were divided randomly into two groups: A) intensified case finding group and B) routine case finding group. Considering the sputum culture as the gold standard, we calculated the sensitivity and specificity, Positive predictive value (PPV), Negative predictive value (NPV) for fever, weight loss, coughing more than two week, night sweats, and PPD test.Result: A total of eight positive cases of tuberculosis were detected in the intensified while four were found in the routine case finding group. Sensitivity, specificity, PPV, and NPV for cough in diagnosis of TB were 25%, 87%, 6%, and 97%, respectively. For weight loss, they were 62.5%, 83%, 10.8%, and 98.5% respectively while these amounts were, 7%, 85%, 97.6, 37.5 for night sweats. For fever, they were, 25%, 92.9%, 10.5%, and 97% respectively, and for PPD they were 87.5%, 40%, 4.6%, and 98.9%, respectively.Conclusion: Key symptom screening, such as cough, fever, weight loss and night sweats, has an important role in detecting TB among HIV-infected patients.
