ContextViolence against women, or domestic violence, is both a physical and mental health issue that is rampant in many societies. It undermines the personal health of those involved by inflicting physical, sexual, and psychological damage. The purpose of the present systematic review and meta-analysis is to assess the prevalence of domestic violence in Iranian society.Evidence AcquisitionA total of 31 articles published between 2000 and 2014 in Iranian and international databases (MagIran, IranMedex, SID, Google Scholar, Science Direct, PubMed, Pre Quest, and Scopus) were examined. The data collected from the articles were analyzed through a meta-analysis using a random effects model. The heterogeneity of the articles was examined using the I2 index, and the analyses were performed with STATA software version 11.2.ResultsBased on the 31 articles, which represent a sample size of 15,514 persons, we estimated the prevalence of domestic violence to be 66% (CI 95%: 55 - 77). The geographical classification showed that the prevalence of domestic violence was 70% (CI 95%: 57 - 84) in the east of the country, 70% in the south (CI 95%: 32 - 100), 75% in the west (CI 95%: 56 - 94), 62% in the north (CI 95%: 37 - 86), and 59% in the center (CI 95%: 44 - 74).ConclusionsThe results of the study showed a high prevalence of domestic violence in Iran, which requires the adoption of appropriate measures and the initiation of effective interventions by the legal authorities. These measures and interventions should aim to determine the causes of domestic violence and to develop ways of controlling and reducing this destructive phenomenon.

The National Centers for Environmental Prediction‐National Center for Atmospheric Research (NCEP‐NCAR) monthly mean reanalysis dataset has been used to analyze spatial variations of summertime subtropical anticyclones over the Asia–Africa region. The geopotential height and zonal wind components of 1000, 500, 200, and 100 hPa in a 30‐year period (1971–2000) have been used to determine the spatial and temporal variations of the anticyclone centres, their monthly frequency and latitudinal axis variations during April–October. The results revealed that there is a clear difference in the location of the summer anticyclone centres in lower, middle and upper levels of the troposphere. In the lower levels, the Azores subtropical anticyclone is located at the east of North Atlantic. In the middle levels, the frequencies of anticyclone centre are concentrated over the northwest of Africa, Arabian Peninsula and Iranian Plateau. In the upper troposphere, the geographical location of the anticyclone centres and their frequencies in the summer season exhibit a scattered pattern from south of China up to western Iran at 200 hPa, and a bimodal pattern over the Tibetan and the Iranian Plateaus at 100 hPa. In fact, in the entire study domain, the Iranian Plateau is a preferable location of the middle and upper troposphere anticyclones. The highest observed latitude of the subtropical anticyclone at 100, 200 and 500 hPa levels have been seen over north of Tibetan plateau, a large area from east to west of Asia and Iran during August, July–August and July, respectively. The maximum monthly variation in the latitude of the ridgeline is seen at 500, 200, and 100 hPa from June to July which goes even up to 10 degrees at some longitudes. Copyright © 2009 Royal Meteorological Society

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Introduction:Restless legs syndrome is a sensory-motor disorder that causes sleep disorder. The syndrome in patients undergoing hemodialysis associates with depression, sleep deprivation, performance disorder, day fatigue, excessive daytime sleepiness, stress, anxiety, and higher risk of cardiovascular diseases. The objective of this systematic meta-analysis study was to estimate prevalence of restless legs syndrome in patients undergoing hemodialysis.Methods:Twenty-six relevant articles published between 2000 and 2015 indexed in Iranian (MagIran and IranMedex) and international databases (SID, Google Scholar, ScienceDirect, PubMed, Pre Quest, and Scopus) were selected. Data analysis was carried out through meta-analysis (random effect model) and heterogeneity of the studies was determined using I2 index. The obtained data were analyzed in STAT (11.2).Results:Prevalence of the syndrome according to the found articles was 50% (95% CI: 38–61) in Iranian and 30% (95% CI:23–37) in international databases. There was an ascending trend of prevalence of the syndrome corresponding to the publication year of the articles (P=0.419), while the trend based on age of the patients was descending (P=0.604). However, the variations were not significant.Conclusion:Given the high prevalence and considerable effects of restless legs syndrome on patients undergoing hemodialysis, it is recommended that these patients be screened for the syndrome.

Background & Aim: Needle stick injuries as one of the most common occupational injuries in nursing are very important because of their potential risk of transmission of blood-borne infectious disease. The aim of this study was to determine the characteristics of needle stick injuries and its related factors among nursing staff. Material & Methods: In this cross-sectional study, 120 nursing staff of Saqqez Imam Khomeini's Hospital was recruited by census in 2014. Data was collected by needle stick injuries questionnaire and analyzed by descriptive statistics, independent T-test, Fisher's exact test and Chi-Square using PASW (Predictive Analytics Software). Results: from a total of 120 nurses, 53 (44.2%) had a history of needle stick injuries in the last year. Comparing to other nurses, those with needle sticks injury were younger (p=0.01) and had less work experience (p=0.03). A total of 111 nurses (92.5%) had been vaccinated against hepatitis B and there was a significant relationship between hepatitis B vaccination and needle stick injuries (p=0.03). Only 14 nurses (11.7%) had reported their needle stick injuries Conclusion: Regarding the high frequency of needle stick injuries in nursing staff, nursing managers should consider preventive approaches such as maintaining safety measures in work environment, providing complete vaccination coverage and a reliable reporting system to confront with this problem.

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CO concentration (XCO) shows the spatial and temporal variation in Iran. The major purpose of this investigation is the assessment of the spatial distribution of carbon dioxide concentration in the different seasons of 2013 based on the Thermal And Near Infrared Sensor for Carbon Observation-Fourier Transform Spectrometer (TANSO-FTS) level 2 GOSAT data by implementing the ordinary kriging (OK) method. In this study, the Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI) data from the MODerate resolution Imaging Spectroradiometer (MODIS), and metrological parameters (temperature and precipitation) were used for the analysis of the spatial distribution of CO over Iran in 2013. The spatial distribution maps of XCO show the highest concentration of this gas in the south and south-east and the lowest concentration in the north and north-west. These results indicate that the concentration of carbon dioxide decreased with the increase of LST and temperature and a decrease of NDVI and humidity in the study area. Therefore, the existence of vegetation has an effective role in capturing carbon from the atmosphere by photosynthesis phenomena, and sustainable land management can be effective for carbon absorption from the atmosphere and mitigation of climate change in arid and semi-arid regions.