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.
Hadi Daneshmandi; Alireza Choobineh; Haleh Ghaem; Anahita Fakherpour
Abstract
Background: For an organization to be successful, the productivity of its employees is of vital importance.This study aimed to: 1) translate and examine the psychometric properties of the Health and Work Questionnaire (HWQ) among Iranian office workers, and 2) Determine the association between six subscales ...
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Background: For an organization to be successful, the productivity of its employees is of vital importance.This study aimed to: 1) translate and examine the psychometric properties of the Health and Work Questionnaire (HWQ) among Iranian office workers, and 2) Determine the association between six subscales of the Persian version of HWQ (P-HWQ) and Work-related Musculoskeletal Symptoms (WMSs) among the subjects. Methods: This cross-sectional study was conducted among office workers employed at Shiraz University of Medical Sciences. In order to standardize the questionnaire, the English version of the HWQ was translated into Persian (the Iranian official language), using the standard “forward-backward” translation, cognitive debriefing, and cultural adaptation procedure. The Nordic Musculoskeletal Questionnaire (NMQ) was used to determine the WMSs prevalence rate among the subjects. Results: 129 office workers, including 44 (34.1%) males and 85 (65.9%) females with a mean ± SD age of 36.22±7.72 years voluntarily participated in this study. Internal consistency of the P-HWQ was acceptable for all subscales (0.65≤α). Factor analysis of the P-HWQ for each item related to the subscale was acceptable (0.4<). The highest prevalence rates of WMSs in the last week were related to lower back (51.2%), neck (43.4%), and shoulders (41.1%). The concentration/focus subscale of productivity (derived from P-HWQ) was related to WMSs in participants. Conclusion: The P-HWQ has good structural characteristics, is a valid and reliable instrument, and can be used for measuring the productivity of Iranian office workers. Improvement of working conditions is suggested to reduce the musculoskeletal problems, and enhancement of people’s concentration/focus and productivity.
