The aim of the present study was to evaluate the degree of sperm DNA fragmentation in couples with idiopathic recurrent spontaneous abortion (RSA) and in those with no history of infertility or abortion. In this cohort study, 30 couples with RSA and 30 fertile couples as control group completed the demographic data questionnaires, and their semen samples were analysed according to World Health Organization (WHO) standards (September 2009-March 2010) for evaluation of sperm DNA fragmentation, using sperm chromatin dispersion (SCD) technique. The percentage of morphologically normal sperm was significantly lower in RSA patients compared with control group (51.50 ± 11.60 versus 58.00 ± 9.05, P = 0.019), but not in other parameters. Additionally, the level of abnormal DNA fragmentation in the RSA group was significantly higher than in the control group (43.3% versus 16.7%, P = 0.024). Our results indicated a negative correlation between the number of sperm with progressive motility and DNA fragmentation (r = -0.613; P < 0.001). The sperm from men with a history of RSA had a higher incidence of DNA fragmentation and poor motility than those of the control group, indicating a possible relationship between idiopathic RSA and DNA fragmentation.

Background:Substance use among college students in Iran is a serious problem. Determining the pattern of substance use among University students is an important issue for implementing prevention and treatment programs.Objectives:The present survey attempts to determine the prevalence of substance usage and associated risk factors among the students of Jahrom University of Medical Sciences and Islamic Azad University of Jahrom, Jahrom, Iran.Patients and Methods:This cross-sectional study was carried out from December 2012 to February 2013 and included 1149 randomly selected students of two Jahrom universities. A standard questionnaire was used for data gathering. Data were analyzed using the SPSS version 15 for Windows. T-test and Chi-square T-test and Chi-square and Logestic regression tests were used for data analysis.Results:Tobacco (28.3%), alcohol (13.0%), and cannabis and marijuana (5.2%) were the most common substances used by the students. The prevalence of substance use among the male students was significantly higher (OR: 1.5, 95%CI: 1.42 - 2.68, P < 0.001). The risk of at least single episode of substance usage was higher among the students which were living alone (OR: 3.03, 95%CI: 1.74 - 5.28, P < 0.001) The most important motivators for beginning substance use were curiosity, in 46.4%, and seeking pleasure, in 28.8%.Conclusions:Substance usage is considered as a risk factor for students’ health among University students in Iran. Design of educational courses addressing the detrimental effects and dire consequences of substance usage could help to improve control programs. Universities could improve their drug abuse control programs by focusing on the high risk groups determined by relevant studies.

PurposeThe aim of this present study is to investigate the prevalence of alcohol and substance abuse (ASA) and its relationship with other risky driving behaviors among motorcycle drivers.MethodsThis is a cross sectional study which is performed at Shiraz city of Iran. Data from motorcycle drivers were collected using a standard questionnaire in eight major streets at different times of the day. The data includes consumption of alcohol and other substances two hours before driving and some of the risky behaviors during driving.ResultsA total of 414 drivers with a mean ± SD age of (27.0 ± 9.3) years participated in the study. Alcohol or substance consumptions two hours before driving was significantly associated with risky driving behaviors such as using mobile phone during driving, poor maneuvering, and driving over the speed limit (both p < 0.001). It was also associated with carelessness about safety such as driving with technical defects (p < 0.001) and not wearing a crash helmet (p = 0.008).ConclusionScreening for alcohol and substance consumption among motorcycle drivers is an efficient way to identify drivers that are at a greater risk for road traffic accidents.

Aim To explore the effects of an educational‐ counselling programme based on the precede–proceed model during pregnancy on preventing post‐partum depression. Design A randomized clinical trial (RCT) study. Method 130 pregnant women were selected and randomly assigned to intervention and control groups. Data collection was carried out using questionnaires of predisposing, reinforcing and enabling factors, GHQ and Edinburgh Postnatal Depression Scale (EPDS). The Education programme was designed and performed in each group in a given weekday through four 60‐minute sessions. The whole intervention lasted for one month in all groups. The participants in the control group were given routine pregnancy care. Data were gathered before and after the intervention in both groups. Results Independent t test showed a significant difference between the two groups in terms of the mean score of predisposing, reinforcing, enabling factors and post‐partum depression (p < .05). Regression tests indicated predisposing, reinforcing, enabling factors and general health as the most important factors associated with post‐partum depression (p < .05). The results supported the effectiveness of the educational intervention on reducing post‐partum depression and showed that implementing these training during pregnancy leads to a reduced level of post‐partum depression.

Received: December 2015, Accepted: April 2016 Background: Sleep and rest are basic physiological human needs. Nurses work irregularly in morning, afternoon, and evening shifts; therefore, they are at greater risk of sleep problems than others. The aim of this study was to identify the factors related to sleep quality of nurses at Rafsanjan University of Medical Sciences, Iran. Materials and Methods: This cross-sectional study was conducted in 2013. The study subjects consisted of 366 nurses who were randomly selected from among nurses working at the medical university. Data collection tools included the occupational demographic questionnaire and Pittsburgh Sleep Quality Index (PSQI). Data analysis was performed using chi-square test and logistic regression model in SPSS software. Results: It was found that 273 (74.7%) of the nurses had poor sleep quality. The overall mean score of nurses was 7.35 ± 2.86. The logistic regression model showed a statistically significant relationship between poor sleep quality and variables of age (P = 0.030) (95% CI: 1.09-1.010) (OR = 1.50), gender (P = 0.001) (95% CI: 0.23-0.70) (OR = 0.40), number of night shifts (P = 0.003), (95% CI: 1.138-1.11) (OR = 1.20), and having children of less than one year of age (P = 0.019) (95% CI: 3.8-1.12) (OR = 2.10). The chi-square test showed a significant relationship between poor sleep quality and the type of working shift (P = 0.001). About one-third of the nurses in this study used medicine for sleeping and had difficulty in falling asleep. Conclusions:The results indicated that the sleep quality of the majority of the nurses was poor. It is suggested that a certain guideline be developed for planning nurses' schedules using the results of this study and other studies in this area.