1.Predicting Nurses Mental health based on Job Satisfaction Components
Nastaran Nik-eghbal ; Masoumeh Otaghi ; Arman Azadi ; Kourosh Sayehmiri
ASEAN Journal of Psychiatry 2023;24(no. 7):1-7
Background:
Mental health is one of the indicators of mental health that shows the general attitude and evaluation towards life as a whole. Job satisfaction can affect various aspects of life. The aim of the study was to predict nurses' mental health based on job satisfaction components.
Methods:
Cross-sectional study was a descriptive correlation type. 160 nurses of three teaching hospitals in Ilam city were selected by stratified random sampling in 2022. Data were collected with the Minnesota MSQ job satisfaction questionnaires and the Diener SWLS (1985) mental health questionnaires. Then, they were analyzed in SPSS-16 software with Spearman, Kruskal-Wallis and step by step regression tests. The significance level was less than 0.05.
Result:
The average mental health was 20.48 ± 6.80 and the average job satisfaction was 49.34 ± 12.39 and in all three hospitals it was average. The relationship between total job satisfaction score and mental health score was significant (r=0.267, p=0.001). The correlation between the mental health score and the score of each of the components of job satisfaction except "type of job" and "leadership style" was significant (p<0.05). With the increase in the score of payment system, advancement opportunities, organizational atmosphere and physical conditions, the mental health score also increased. According to the regression model, only the organizational climate (p=0.009) and physical conditions (p=0.017) contributed to predicting the mental health of nurses.
Conclusions
By increasing the scores of job satisfaction components, the mental health of nurses increases. According to the regression model, each unit of nurse’s mental health is equal to the sum of the fixed value of 13.33 plus 0.4 units of organizational climate plus 0.59 units of their physical conditions.
2.The Relationship Between Moral Intelligence And Aggression In Nurses
Ayoub Panahi ; Hassan Adineh ; Dr Masoumeh Otaghi ; AmirReza JamshidBeigi ; Mostafa Eghbalian
ASEAN Journal of Psychiatry 2022;23(no. 7):1-8
Background & Aim:
Moral intelligence is one of the dimensions of intelligence that can provide a framework for the proper functioning of human beings. Anger can have a significant impact on the quality of nursing care. The aim of this study was to determine the relationship between moral intelligence and anger in the nurses of Ilam city in 2019.
Methods & Materials:
In a study, a group of 69 nurses working in emergency and individual departments were chosen. Data collection was done with a demographic profile form and Lanic and Kiel's moral intelligence questionnaires (2011) and Buss and Perry's aggression questionnaires (1992). Data were analysed via SPSS-22 software. A coefficient of 0.05 was implemented.
Results:
The average Moral Intelligence score of all the nurses was 149.04 17.90, and Average aggression score of all the nurses was 72.62 17.34. Between moral intelligence and aggression of all nurses (r=-0.33, p=0.007) and emergency ward nurses (r=-.053, p=0.0020) There was a significant inverse correlation.
Conclusion
Considering nurses 'day-to-day confrontation with work-related problems, it is necessary to pay attention to moral intelligence and its relationship with anger. Inclusion of the necessary training on the relationship between moral intelligence and anger management are suggested in nursing and nursing student curricula.