ABSTRACT
Aim: This study aimed to explore the effects of war traumatic exposure on emotional and behavioral problems in a sample of Kosovar war veterans and the wives of veterans 16 years after the 1998-1999 war, as well as whether the level of education, income, well-being, and substance use are predictors for emotional and behavioral problems. Methods: Self-report data were obtained from 373 adults, 247 male war veterans (66.2% of the sample) and 126 wives of other male war veterans (33.8% of the sample). The sample was recruited from a list of war veterans provided by the Kosovar National Association of War Veterans. The mean age of participants was 45.42 [standard deviation (SD), 7.64] years. Measurements comprised a sociodemographic brief structured interview, the Well-Being Index (WHO-5), the Harvard Trauma Questionnaire, and the Adult Self Report (ASR). Logistic regression analysis was conducted to explore if the demographic variables were predictors for ASR general scales and subscales. Multivariate analysis of covariance was performed by adding as covariates the continuous variables pointed out in the logistic regression analysis as discriminating factors between the groups. Post hoc analyses were corrected, and we estimated partial η2 to measure the effect size. Results: The higher traumatic exposure during the war, the greater the tendency to have emotional problems and behavioral problems for both kinds of participants. The result showed that there were no differences on the prevalence of emotional and behavioral problems between the two groups, and both veterans and wives of veterans had no differences on seeking professional help for their emotional and behavioral problems. Wives of veterans living in rural areas showed higher scores on almost all ASR scales compared with those living in urban areas or even with those of veterans from urban and rural areas. Veterans with elementary education level had the highest scores compared with other groups. Veterans with poor well-being had the highest scores compared with other groups. Using Internalizing, Externalizing, and Total Problems as outcome variables and trauma exposure, smoking, drinking alcohol, and well-being as predictors, we found that the model was a significant predictor for both male and female participants on these three scales. Conclusion: The relationship found between the level of exposure to traumatic events and emotional and behavior problems, as well as the factors that moderated such relations, in war veterans and their wives, should help global mental health researchers address the contextual dimensions of this relationship and identify better ways to prevent and treat those problems.
ABSTRACT
OBJECTIVE: The relationship between temperament and mental health problems is seen very important as we hope to explain the trajectory of this interaction. The aim of this study was to test the validity of affective temperaments for predicting psychiatric morbidity, by explaining the relationships between temperament, anxiety and depression in a community sample. METHODS: This was a cross-sectional study. The present sample consisted of 960 participants (347 male, 622 female) with a mean age of M = 28.4 (SD = 10) randomly recruited. Affective temperaments were measured by the brief version of TEMPS-A, depression and anxiety measured with Beck Depression Inventory and Beck Anxiety Inventory. RESULTS: The Cronbach alpha reliability coefficients for affective temperaments were between .72 and .81, for BDI and BAI, were .88 and .90. The study found significant gender differences on depressive [t(959) = -4.2, p<.001], cyclothymic [t(957) = -4.6, p < .001] and anxious temperament [t(957) = -8.2, p < .001], females having higher scores than males, and reverse results on hyperthermic temperament [t(958) = 2.1, p < .045], males having higher scores than females. No gender difference is found in irritable temperament [t(955) = -.581, p < .561]. Affective temperaments were found significant predictors for depression and anxiety. The combination of the depressive temperament and cyclothymic temperament explained the 32% variance of depression and the 25% variance of anxiety. CONCLUSIONS: Study findings are consistent with some other studies and stress the importance of screening for effective temperament in order to early identify depression and anxiety. Further investigation is needed to understand what are other factors that influence the relationship between affective temperaments with depression and anxiety.