METHODS: In this cross-sectional study, after the scale translation, the factorial structural validity was assessed via the confirmatory factor analysis with 70 180 samples. Internal consistency, composite reliability, convergent validity were assessed by calculating Cronbach's alpha, composite reliability, maximum reliability, and Average Variance Extracted. The discriminant validity was assessed using Heterotrait-monotrait ratio of correlations matrix and also, measure invariance was evaluated.
RESULTS: The original five-factor model had good model fit indices but due to low factor loading of item 2 and 20, the model was modified. The Cronbach's alpha and composite reliability for four factors were above 0.7 (except for factor 5). The convergent validity for all five factors were achieved. Between factors 1 with 2 and 4, 2 with 3 and 4 discriminant validity was not established (correlations > 0.9) and the results suggested that there might be a second-order latent construct behind these factors. Therefore, a second-order assessment was performed. The results of the second-order latent construct assessment showed a good goodness-of fit and strong measurement invariance for both men and women.
CONCLUSION: The 23-item version of Connor-Davidson Resilience Scale is a reliable and valid scale to measure resilience as a complex construct in the Iran context.
PURPOSE: This study aims to evaluate the psychometric properties of the Farsi version of the meaning of life questionnaire in patients with cancer.
METHOD: In this cross-sectional study, after translating the questionnaire to Farsi, in a sample of 212 patients with cancer, feasibility, content and convergent validity, exploratory and confirmatory factor analysis, internal consistency, stability, and responsiveness were evaluated.
RESULTS: The results show that the content validity ratio of all ten items was greater than 0.49. Also, the modified Kappa coefficient of each item was greater than 0.6. The maximum likelihood exploratory factor analysis extracted one factor, which explains 76.13% of the total variance of the sample. Item nine was removed. The confirmatory factor analysis results show that the one-factor model had good fit indices. The Cronbach's alpha, McDonald's omega, composite reliability, MaxR, and intraclass correlation coefficient were 0.96, 0.96, 0.96, 0.96, and 0.98, respectively. The questionnaires had responsiveness and its response time was 3 s.
CONCLUSION AND POLICY SUMMARY: The nine-item Farsi version of the meaning of life questionnaire has good validity and reliability and responsiveness.
DESIGN: A cross-sectional survey was undertaken.
METHODS: An online survey was conducted in Iran from May to June 2020 through Google Docs Forms. In total, 305 nurses were participated and completed the online survey. Data were analysed using structural equation modelling through (AMOS). This study was checked with the STROBE checklist.
RESULT: The results showed that nurses' perception of organizational support was positively related to their job satisfaction which in turn decreases the turnover intention. Likewise, the job satisfaction partially mediated the relationship between organizational support and nurses' life satisfaction.
METHODS: In this study, a time series analysis was used to determine the variation of variables over time. All series were seasonally adjusted and Poisson regression analysis was performed. In the analysis of meteorological data and emotional distress due to religious mourning events, the best results were obtained by autoregressive moving average (ARMA) (5,5) model.
RESULTS: It was determined that average temperature, sunshine, and rain variables had a significant effect on death. A total of 2375 AMI's were enrolled. Average temperate (°C) and sunshine hours a day (h/day) had a statistically significant relationship with the number of AMI's (β = 0.011, P = 0.014). For every extra degree of temperature increase, the risk of AMI rose [OR = 1.011 (95%CI 1.00, 1.02)]. For every extra hour of sunshine, a day a statistically significant increase [OR = 1.02 (95% CI 1.01, 1.04)] in AMI risk occurred (β = 0.025, P = 0.001). Religious mourning events increase the risk of AMI 1.05 times more. The other independent variables have no significant effects on AMI's (P > 0.05).
CONCLUSION: Results demonstrate that sunshine hours and the average temperature had a significant effect on the risk of AMI. Moreover, emotional distress due to religious morning events increases AMI. More specific research on this topic is recommended.
Methods: This retrospective prevalence study was based on medical records of the heart center of Mazandaran Province on all patients diagnosed with AMI in Mazandaran, northern Iran between 2013 and 2015. Patients' sex and the day, month, year and time of hospital admission were extracted from patients' records. Moreover, the meteorological reports were gathered.
Results: A statistically significant difference was found between the distributions of AMI cases across 12 months of the year (P < 0.01). Fuzzy clustering analysis using 16 different climatic variables showed that March, April, and May were in the same cluster together. The other 9 months were in different clusters.
Conclusion: Significant increase in AMI was seen in March, April and May (cold to hot weather).