Abolfazl Khoshdel, Soleiman Kheiri, Jafar Nasiri, Hoda Ahmari Tehran, Esfandiar Heidarian,
Volume 28, Issue 1 (1-2014)
Abstract
Background :Many pregnant Muslim women choose to fast during Ramadan every year worldwide. This study aimed to examine the effect of Ramadan fasting on serum leptin, neuropeptide Y and insulin in pregnant women and find whether fasting during pregnancy could have a negative effect on the health of mothers and fetuses.
Methods : This cross-sectional study was conducted on 39 healthy volunteer fasting pregnant women. Serum leptin, neuropeptide Y, insulin levels, body mass index and weight were measured five times on 0, 7th, 14th and 28th days of Ramadan and on the 14th day post-Ramadan. The data were analyzed by SPSS software (version 11.5) using repeated measures ANOVA to find whether any changes occurred in the variables of interest during the study, and Pearson correlation coefficient was used to examine the relations among the variables.
Results : A significant change in fasting blood sugar, neuropeptide Y and leptin was observed during the study (p< 0.05). Fasting blood sugar decreased significantly during Ramadan and increased after Ramadan, with the lowest value at the end of Ramadan. Neuropeptide Y increased both during Ramadan and two weeks after Ramadan. Also, leptin decreased significantly two weeks after Ramadan compared to the end of Ramadan. No significant change was observed in insulin level during the study (p>0.05).
Conclusion : The result of this study revealed the important role of leptin and neuropeptide Y in the long term regulation of energy balance in pregnant women with chronic diurnal fasting, and it further revealed that Ramadan fasting did not significantly change the serum insulin level.
Mahmoud Mobasheri, Soleiman Kheiri, Elham Mardanpour, Seifollah Bakhshi,
Volume 28, Issue 1 (1-2014)
Abstract
Background :Being informed of new methods of teaching and comparing their outcome help teachers use more effective and efficient methods in developing and implementing new training courses. The aim of this study was to examine the efficacy of epidemiology learning software on learning epidemiology courses.
Methods : This quasi-experimental study included 101 nursingand midwifery students taking epidemiology course in two separate classes. One of the classes was selected as intervention group (taught via software) and another one as the control group. At the end of the semester, scores of the courses were analyzed using covariance analysis.
Results : After adjusting the effect of grade point average, covariance analysis indicated a significant difference in epidemiology scores between the two groups (p<0.001). The students taught through the software obtained significantly higher scores compared to the students in traditional group.
Conclusion : By means of this training software, teachers can use several strategies for presenting lessons and increasing training efficacy, leading to active learning in students.
Shima Khodadadi, Nastaran Khodakarim, Saeed Kalantari, Mitra Ranjbar Davijani, Hussein Nasri, Usef Kheiri,
Volume 37, Issue 1 (2-2023)
Abstract
Background: COVID-19 has become the greatest pandemic of the century. Considering the role of some hematologic and biochemical factors and their alterations due to the activity of the immune system, the current study aimed to evaluate LDH/CRP/ESR/RDW in patients with COVID-19 and their relationship with the severity of lung involvement based on CT scan findings.
Methods: In this cross-sectional study, some biomarkers (LDH/CRP/ESR/RDW) were measured in 158 patients who were admitted to the intensive care unit (ICU) or hospitalized in the infectious diseases ward of Rasoul-e-Akram and Firoozgar hospitals or attended to the outpatient clinics. The diagnosis was confirmed by a positive RT-PCR test in all patients. The severity of lung involvement was determined by CT scan findings for comparison. Data were collected and analyzed through SPSS version 22.
Results: Regarding the severity of lung damage according to the CT scan, 17.7% of the patients were normal, 19% had less than 25% involvement, 17% had 25% -50% involvement, 33.5% had 50% -75% involvement, and 12% had more than 75% involvement. Considering the increasing severity of lung damage based on CT scans, the levels of RDW, ESR, CRP, and LDH significantly increased in parallel. The diagnostic value of RDW (cut-off point: 12.6, Sen: 73.1% (95%CI: 65.1-79.5), Sp: 53.6% (95%CI: 45.7-61.7), ESR (cut-off point: 49, Sen: 46.9% (95%CI: 38.2-54.5)), Sp: 85.7% (95%CI: 789.-90.5)), CRP (cut-off point: 23, Sen: 62.8% (95%CI: 54.6-70.4), Sp: 77.7% (95%CI: 70.3-84.1)) and LDH (cut-off point: 550, Sen: 65.1% (95%CI: 57.2-72.5), Sp: 85.7% (95%CI: 78.9-90.5)) were significant in diagnosing the severity of lung involvement (P < 0.05).
Conclusion: The use of RDW, ESR, CRP, and LDH biomarkers could be effective in predicting the severity of lung damage in patients with COVID-19.
