Methods: The sample of current cross-sectional study includes 212 patients with coronary artery disease (CAD) in Iran evaluated from Jan to Jun 2017. The required data were gathered using Beck's Depression Inventory (BDI) questionnaire, Buss and Perry's Aggression Questionnaire (BPAQ), and Hudson's Marital Satisfaction Index (HMSI). The data were analysed using Pearson's correlation coefficient and structural equation modeling (SEM) using SPSS20 and AMOS software.
Results: The mean age of participants (68.4% male) was 58.5 ± 8.9. The results show that there is a significant positive relationship between all the variables (P < 0.05). The results of the model show that marital stress cannot directly predict depression (P = 0.586). However, through aggression, marital stress can significantly predict 18% of the variance of depression (P < 0.001).
Conclusions: Not directly, but indirectly through aggression, marital stress can significantly predict increased depression among patients with CAD. The physiological and psychological pathways of the findings can be discussed.
Methods: At the baseline of this cross-sectional study, 156 patients from Western Iran participated during April-November 2016. People 20 years-80 years able to recall the emotional content of dreams after cardiac surgery entered the study. The Beck depression inventory (BDI), Beck anxiety inventory (BAI), Buss and Perry's aggression questionnaire (BPAQ) and Schredl's dream emotions manual were used for collecting data. A binary logistic regression analysis used for the study of the relationship between risk factors and emotionally negative dreams.
Results: The mean age of participants was 59 (SD = 9) years (men: 64.1%). The results showed that 25% of patients have negative emotional content. After adjustment for demographic variables, the results showed that increased anxiety [adjusted odds ratio (adj OR) = 1.08 [1.01-1.16], P = 0.020] and anger (adj OR = 1.03 [1.00-1.06], P = 0.024) and hypertension (adj OR = 2.71 [1.10-6.68], P = 0.030) can predict the dreams with negative content significantly.
Conclusion: The increasing rates of anxiety and anger and history of hypertension are related to increasing dreams with the negative emotional load. The control of risk factors of dreams with negative emotional load can be the target of future interventions.
METHODS: Samples of this cross-sectional study included 320 (23.08 ± 2.66 years; 57% female) college students in western Iran during February 2015 to December 2017. Liebowitz-social anxiety scale, PID-5, SCID-II, SCID-II-SQ and diagnostic interview for SAD were the tools. The data were analysed using Pearson correlation and multiple linear regression analysis.
RESULTS: Forty-three and 38 participants met criteria for SAD alone and APD, respectively. Five main domains of PID-5 could explain 29% and 54% of the variance of SAD and APD, respectively. Facets of negative affect, detachment, antagonism, disinhibition, and psychoticism could explain 25% versus 43%, 26% versus 54%, 7% versus 27%, 21% versus 41%, 13% versus 30% of the variance of SAD and APD, respectively.
CONCLUSION: SAD and APD probably refer to two distinct mental states having prominent anxiety, emotional instability, and interpersonal pattern of avoidance and detachment of challenge. SAD is a simple form of mental disturbances with anxiety in its core features; although, APD is possibly referring to more complicated psychopathology.