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Introduction. It was established that intragestational depression is a common disease, with the estimated average prevalence of 10–25% in all expectant mothers worldwide. Aim of the study. The aim of the study was to evaluate the frequency of depressive symptoms in pregnant women in Poland and to identify which factors may be related to a higher risk of depressive symptoms during pregnancy. Material and methods. A prospective cross-sectional study was performed. Depressive symptoms were assessed with the validated Edinburgh Postnatal Depression Scale (EPDS). 346 women were enrolled in the study. Results. 130 women (37.6%) scored 13 or more points and were considered as presenting with depressive symptoms. Independent risk factors of depressive symptoms during pregnancy including mood disorders diagnosed before the current pregnancy (aOR=2.68, 95%CI 1.37-5.22), mental disorders confirmed in family members (aOR=2.72, 95%CI 1.24-5.98), unhappiness in their current relationship (aOR=4.0, 95%CI 1.77-9.01), lack of support from family members (aOR=2.73, 95%CI 1.51-4.96) increased the risk of DS and good financial status decreased the risk of DS occurrence (aOR=0.45, 95%CI: 0.25-0.80). Conclusions. Pregnant women commonly report depressive symptoms. The evaluation of relations with the family members, socio-economic status, former depressive symptoms and possible prenatal depression are essential for proper screening of depression in pregnant women.
EN
Aim: To study the in/direct relationship between fear of COVID-19 contraction and academic stress during the first wave of the pandemic. Method: The sample consisted of 835 university students (597 female students, 71.5%, M = 22.71 years of age, SD = 3.69). Data were gathered online by the questionnaire of the international study The COVID-19 International Student Well-being Study (C19 ISWS). Results: An above-average level of academic stress and a below-average gender-related level of fear of contracting the virus were found. The relationship between fear of contracting the virus and academic stress was serially mediated by loneliness and depressive symptoms. Conclusion: The findings stress the importance of monitoring the level of fear of virus contraction and the student-perceived perspective of academic achievement during actions taken by academic authorities to support the quality of teaching and students’ mental health.
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Our main goal was to verify the original factorial structure of the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68) questionnaire, created by Piper, Piasecki et al. (2004), in which nicotine dependence was represented as a motivational based, multidimensional construct. The sample was taken from Hungarian university students who smoke at least one cigarette per week (N=243; 81% female, 19% male; mean age: 24,4 years, S.D.: 6,86). Method of data collection: smokers were invited to participate in the research during university lectures. As the theoretical 13-factor structure was seen to fit less than expected, we have done the exploratory factor analysis of WISDM-68. The 8-factor structure had good internal reliability, each scale had at least 0,7 Cronbach α. Furthermore, we have analyzed the relationship between the 8-factor structure, explored by the factor analysis, with the Fagerstrom Nicotine Dependence Scale (FTND), which measures the physical aspect of nicotine dependence, and with the depressive symptoms (Center for Epidemiological Studies-Depression: CES-D). The moderate correlations between WISDM scales and FTND refer to the convergent validity of these test batteries. In the multivariate linear regression model, FTND score was determined by Tolerance and Automaticity from WISDM scales. It seems that they can measure the physical aspect of the motivational background of nicotine dependence. Tolerance explains the CO level of breath as well. Depressive symptoms score correlates moderately with the Smoking as coping WISDM scale. There is a significant association between WISDM scale scores and the smoking status. To design appropriate intervention methods, it is important to get acquainted with the motivational factors which maintain tobacco consumption and the individual differences in that. Our results support that the identified motivational factors have different importance between heavy and not daily smokers.
EN
Introduction. It was established that intragestational depression is a common disease, with the estimated average prevalence of 10–25% in all expectant mothers worldwide. Aim of the study. The aim of the study was to evaluate the frequency of depressive symptoms in pregnant women in Poland and to identify which factors may be related to a higher risk of depressive symptoms during pregnancy. Material and methods. A prospective cross-sectional study was performed. Depressive symptoms were assessed with the validated Edinburgh Postnatal Depression Scale (EPDS). 346 women were enrolled in the study. Results. 130 women (37.6%) scored 13 or more points and were considered as presenting with depressive symptoms. Independent risk factors of depressive symptoms during pregnancy including mood disorders diagnosed before the current pregnancy (aOR=2.68, 95%CI 1.37-5.22), mental disorders confirmed in family members (aOR=2.72, 95%CI 1.24-5.98), unhappiness in their current relationship (aOR=4.0, 95%CI 1.77-9.01), lack of support from family members (aOR=2.73, 95%CI 1.51-4.96) increased the risk of DS and good financial status decreased the risk of DS occurrence (aOR=0.45, 95%CI: 0.25-0.80). Conclusions. Pregnant women commonly report depressive symptoms. The evaluation of relations with the family members, socio-economic status, former depressive symptoms and possible prenatal depression are essential for proper screening of depression in pregnant women.
EN
Objectives: Days off, on call, night duty, working hours and job stress can affect physicians’ mental health, and support from supervisors and co-workers may have a buffering effect. This study elucidates whether job strain and job factors affect physicians’ mental health, and whether support from supervisors and co-workers has a protective effect on their mental health. Material and Methods: The subjects included 494 physicians. The Brief Job Stress Questionnaire (BJSQ) was used to evaluate job demand, job control and support. High job strain was defined as a combination of high job demand and low job control. Depressive symptoms were assessed using the Patient Health Questionnaire-9. The Maslach Burnout Inventory- General Survey was used to evaluate burnout. Possible confounder adjusted logistic regression analyses were performed to obtain odds ratios for depressive symptoms and burnout. Results: As per the analysis, high job strain had significantly higher odds ratios, and support from co-workers had significant protective odds ratios for depressive symptoms. High job strain and having only 2–4 days off per month (compared to > 8 days off per month) had significantly higher odds ratios, and support from co-workers had significant protective odds ratios for burnout. Conclusions: High job strain was related to depressive symptoms and burnout, and support from co-workers had a buffering effect on depressive symptoms and burnout. An inadequate number of days off was related to burnout. Assessment of job strain may be a good tool to measure physicians’ mental health, and a sufficient number of days off may be needed to prevent burnout.
EN
Objectives To explore the relationship between depressive symptoms, fatigue and psychological flexibility, as well as their interactions on depression in Chinese nurses. Material and Methods Using convenience sampling, a cross-sectional survey of 796 nurses in municipal hospitals of Zhengzhou, Henan Province, China, was conducted. The questionnaires of Work-related Acceptance and Action Questionnaire, Center for Epidemiological Studies Depression Scale and Fatigue Assessment Instrument were used. Hierarchical regression and bootstrap methods were used to examine the mediating effect of psychological flexibility between fatigue and depression. Results More than 51.8% of the nurses were at risk of depression and 62.3% were at risk of fatigue. There was a significantly positive and moderate correlation between depression and fatigue severity, situation specificity, and consequences (r = 0.43, r = 0.24 and r = 0.31, respectively, p < 0.01). Depression was negatively correlated with psychological flexibility (r = –0.28, p < 0.01). Psychological flexibility had a negative impact on depression with the explained variance increased by 4.2% (β = –0.211, p < 0.001). The bootstrap method showed that the mediating effect of psychological flexibility accounting for 8.5% and 12.3% on fatigue and depressive symptoms, respectively. Conclusions Psychological flexibility plays a partial mediating role between the fatigue severity, consequences of fatigue and depressive symptoms of nurses. Hospital managers should improve medical staff work acceptance to alleviate their depressive symptoms.
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