ObjectiveThe aim of the study was to determine psychological, psychophysiological, and anthropometric factors connected with life events, level of depression, and quality of life in people at risk for cardiovascular disease and healthy controls.MethodsThis is a cross-sectional study involving arterial hypertension patients and healthy controls. There were several measurements including physical, anthropological, cardiovascular, and psychophysiological measurements and administration of questionnaires.ResultsA total of 99 participants were recruited for this study, 54 healthy controls (mean age: 35.59±13.39 years) and 45 patients with cardiovascular disease (CVD) (mean age: 46.33±12.39 years). The healthy controls and the patients with CVD significantly differed in the mean total score of life events, level of depression, quality of life score, temperature, blood pressure (BP), pulse transit time, heart rate, high-frequency total power, heart rate variability total power, waist-to-height ratio (WHtR), body fat percentage, fat control, pulse wave velocity, and augmentation index. In healthy subjects, the total score of the life events was not correlated with any cardiovascular or anthropometric factor. A score of depression significantly correlated with the WHtR, augmentation index, body fat percentage, and fat control. The quality of life – visual scale correlated with the body temperature, BP, and percentage of body fat. In the group of the patients with CVD, the score of the life events did not correlate with any measured cardiovascular or anthropometric factor. The level of depression correlated with the augmentation index. The quality of life – visual scale significantly correlated with body temperature, WHtR, and fat control.ConclusionThe patients with CVD reported higher scores of life events, worse quality of life, and a greater level of depressive symptoms than healthy controls. In healthy controls, a higher mean total score of life events significantly negatively correlated with high-frequency total power, and the degree of depression correlated with being overweight. In patients with CVD, a score of depression was linked to being overweight.
IntroductionAt the present time, adolescents are in particular vulnerable to feelings of loneliness. They are gradually emancipating from their family and establish relationships with peers. Among the important predictors of loneliness belong genetic and personal variables and factors of social environment.Objectives and aimsTo examine predictors of adolescents’ loneliness which are located in family environment. To find out how empathy, emotional relationship and control by both of parents contribute to loneliness of adolescent boys and girls.MethodsWe examined 206 adolescents in the age from 10 to 18 years through Basic Empathy Scale, Parenting Style Scale and UCLA Loneliness Scale. Stepwise multiple linear regression analysis was used for data analysis.ResultsThe significant predictors of boys’ loneliness in family environment are emotional relationship of mother and affective empathy of father. The significant predictors of girls’ loneliness include emotional relationship and cognitive empathy of father. Parental control is not a significant predictor of adolescents’ loneliness.ConclusionAdolescents’ loneliness is largely influenced by factors of family environment. Our study highlights the role of emotional relationship provided by the opposite sex parent. Cold behavior of the opposite sex parent could reduce self-esteem and self-confidence of adolescents. Both could help them establish relationships with peers and people outside family, thus protecting them against loneliness. A significant predictor of boys’ and girls’ loneliness is also empathy of father. We recommend to make use of our findings in clinical practice with adolescents, in family therapy as well as in context of attachment.Disclosure of interestThe authors have not supplied their declaration of competing interest.
BackgroundAlarming somatic symptoms, in particular, cardiovascular symptoms, are the characteristic feature of panic attacks. Increased cardiac mortality and morbidity have been found in these patients. Power spectral analysis of electrocardiogram R–R intervals is known to be a particularly successful tool in the detection of autonomic instabilities in various clinical disorders. Our study aimed to compare patients with panic disorder and healthy controls in heart rate variation (HRV) parameters (very-low-frequency [VLF], low-frequency [LF], and high-frequency [HF] band components of R–R interval) in baseline and during the response to the mental task.Subjects and methodsWe assessed psychophysiological variables in 33 patients with panic disorder (10 men, 23 women; mean age 35.9±10.7 years) and 33 age- and gender-matched healthy controls (10 men, 23 women; mean age 35.8±12.1 years). Patients were treatment naïve. Heart rate, blood pressure, muscle tension, and HRV in basal conditions and after the psychological task were assessed. Power spectrum was computed for VLF (0.003–0.04 Hz), LF (0.04–0.15 Hz), and HF (0.15–0.40 Hz) bands using fast Fourier transformation.ResultsIn the baseline period, the VLF band was significantly lower in panic disorder group compared to controls (p<0.005). In the period of mental task, the LF/HF ratio was significantly higher in panic disorder patients compared to controls (p<0.05). No significant differences were found in the remaining parameters. There was a significant difference in ΔHF and ΔLF/HF ratio between patients and controls, with Δ increasing in patients and decreasing in controls.ConclusionThese findings revealed that patients suffering from panic disorder were characterized by relative sympathetic dominance (reactivity) in response to mental stress compared with healthy controls.
The aim of this article is to describe the protocol of a trial focusing on the psychological, anthropometric, cardiac, and psychophysiological factors contributing to increased risk of cardiovascular diseases (CVDs). As background, the article provides a short overview of research literature linking personal traits, maladaptive schemas, and coping styles with CVDs through reactivity of the autonomic nervous system.
Countertransference occurs in CBT when the relationship with the patientactivates automatic thoughts and schemas in the clinician, and these cognitionshave the potential for influencing the therapy process. Countertransferencealso occurs during supervision and is an indispensable part of the supervisor's response to the supervisee. CBT is typically short-termtreatment-intensity of transference is usually muchlower than in longer-term, dynamically oriented psychotherapy. Neverthelessduring the long-term CBT of the personality disorder or other complex cases,high intensity of transference and countertransference can develop.
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