Mohammad-Rafi Bazrafshan; Samira Zahmatbar; Hamed Delam; Azizallah Dehghan; Mozhgan Jokar; Esmaeil Kavi
Abstract
Background: Resiliency is considered as a coping method for nurses in dealing with work problems. Because different personality characteristics also cause different responses by nurses in coping with challenges, this study was conducted to investigate the relationship between personality traits and resilience ...
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Background: Resiliency is considered as a coping method for nurses in dealing with work problems. Because different personality characteristics also cause different responses by nurses in coping with challenges, this study was conducted to investigate the relationship between personality traits and resilience in Nurses and Paramedical staff in Lar and Gerash hospitals. Methods: This is a cross-sectional study. The research sample consisted of 160 nurses and paramedical staff in Lar and Gerash hospitals that were selected by convenience sampling strategy. To measure the variables, NEO Personality Inventory (NEO- FEI) and Connor - Davidson Resiliency Scale (CD-RISC) were used. Data were analyzed using Pearson correlation coefficient in SPSS version 25 software. Results: Statistical analysis showed that extraversion personality traits (r=0.680, P<0.001), openness to experience (r=0.452, P<0.001), agreeableness (r=0.298, P<0.001), and conscientiousness (r=0.635, P<0.001) had a positive and significant correlation with the resiliency variable, and it was only the trait of neuroticism (r=-0.749, P<0.001) that had an inverse and significant correlation with the resiliency variable. Conclusion: In the nursing profession, resiliency is a key element in improving the mental health of nursing staff and helping them to cope better with their stress, challenges and difficulties. Therefore, awareness of the effect of the nurses’ personality traits leads to better management, and since resilience is an educable and changeable variable, problems with nurses who lack effective personality traits can be improved by increasing resiliency
Alireza Mirahmadizadeh; Ali Soleimani; Fariba Moradi; Elham Hesami; Maryam Kasraeian; Hamed Delam
Volume 5, Issue 1 , January 2017, , Pages 2-6
Abstract
Background/Objective: This study was conducted to assess the prevalence of low birth weight and its risk factors in Fars province, south of Iran, 2014.Methods: In this cross-sectional study, we collected data of 3,600 neonates through multi-stage random sampling. At first, we divided the hospitals into ...
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Background/Objective: This study was conducted to assess the prevalence of low birth weight and its risk factors in Fars province, south of Iran, 2014.Methods: In this cross-sectional study, we collected data of 3,600 neonates through multi-stage random sampling. At first, we divided the hospitals into two strata, private and public. Then by stratified random sampling, we selected the neonates from delivery list in each hospital. In univariate analysis, the variables in which the p-value was less than 0.2 were entered into multivariate logistic regression analysis model for adjusting. Two-sided p values <0.05 were statistically considered significant.Result: The prevalence of low birth weight in Fars province was 8.7% (95% CI: 7.8% - 9.7%). In term birth, factors such as mother’s age > 35 years, multiple birth and duration < 24 months with previous pregnancy were risk factors of low birth weight (P <0 .05) and just the father’s literacy was a protective factor for low birth weight.Conclusion: The prevalence of low birth weight in Fars province was low in comparison to that of the world and other districts of Iran. But we should plan for reduction of low birth weight to achieve world health organization’s goal. Variables of pregnancy interval of less than 2 years, multiple births, mother’s age over 35 years and father’s level of education could predict low birth weight of the neonates.
