ABSTRACT
BACKGROUND: Breast cancer is now the most significant health issue in women, threatening diverse aspects of human health, including mental health and cognitive function. This research aimed to validate the Persian version of Mindful Attention Awareness Scale (MAAS) in Iranian women with breast cancer. METHODS: We gathered data on 229 women with breast cancer in Tehran through convenience sampling. They completed a demographic questionnaire, the Persian version of MAAS, the General Self-Efficacy Scale, and DASS-21. SPSS-22 analyzed the Pearson correlation between the Persian version of MAAS, general self-efficacy, and DASS-21. Also, LISREL 8.8 was used to analyze the internal structure of the MAAS. RESULTS: Findings from the confirmatory factor analysis (CFA) showed that the model with one factor fits well with the data (sbχ2=4.29 (P=0.36); SRMR=0.058; CFI=1.0; NFI=0.91; IFI=0.95; RFI=0.97; GFI=0.90; RMSEA=0.069). Significant negative correlations were found between MAAS and DASS-21 scores for anxiety (r=-0.51), depression (r=-0.48) and stress (r=-0.49), indicating an acceptable divergent validity. There was also a positive relationship between MAAS and general self-efficacy (r=0.37; P<0.01). CONCLUSION: The Persian version of MAAS seems to be a valid scale for evaluating the extent of mindfulness of Iranian women with breast cancer.
Subject(s)
Awareness , Breast Neoplasms , Attention , Breast Neoplasms/psychology , Female , Humans , Iran , Psychometrics , Reproducibility of Results , Surveys and QuestionnairesABSTRACT
Considering the limited resources for providing inpatient services, identification of the factors influencing length of stay (LOS) is of great importance. The current study is a retrospective chart review which was planned to investigate the determinants of LOS in two gender-specific psychiatric wards within Baqiatallah Hospital (BQH) located in Tehran. The observation period was between March 21, 2011 and March 19, 2016. 3203 patients were recruited in terms of inclusion and exclusion criteria. Next, required data on 25 explanatory variables were extracted from their case-files. Descriptive measures were used for analysis and Independent Samples T-test, one-way ANOVA, Pearson's correlation coefficient and Bonferroni's post-hoc test for inferential analysis. Lastly, a multiple linear regression model was run to determine significant predictors of psychiatric LOS. Variables significantly correlated with patients' LOS included gender, age, employment status, marital status, number of divorces, disability rate, discharge diagnosis, physical comorbidity, number of previous hospitalizations, suicide ideation, number of suicide attempts, history of assault, tobacco consumption, a history of narcotic drug abuse and number of ECT sessions. Through the analysis of multiple linear regression, it came to light that significant predictors of LOS in the final model could account for 37.9% of the variance in LOS. From the findings of current study, it can be inferred that clinical aspects as well as treatment procedures have major effects on LOS. Although the factors examined here could not explain an acceptable variance in LOS, the results are useful for the treatment team when they want to devise a care plan or give discharge to a patient.
