Abstrakt

Depression is a disorder involving a number of changes in human psychosocial functioning. The aim of this study is to evaluate the intensity of positive and negative emotions understood both as a state and a permanent personality trait in people with depressive disorders and to determine whether the intensity of positive and negative emotions differentiates healthy people from people suffering from depressive disorders. The study was conducted on 107 individuals – 67 people from the experimental group suffering from depressive disorders and 40 people from the control group with a negative interview in terms of mental and somatic disorders. The following tools were used: Hamilton Depression Rating Scale (evaluation of severity of depressive symptoms), STAI Questionnaire (evaluation of anxiety severity as a state and trait) and PANAS Questionnaire (intensity of negative and positive emotions as a state and trait). A significantly higher intensity of positive emotions understood both as a state and a trait was observed in the people not suffering from depression, while the opposite results were obtained with regard to negative emotions, i.e. the individuals suffering from depression recorded lower scores than the healthy persons. It was also shown that the people with depression had higher scores in terms of the level of anxiety as a state and trait. The intensity of positive emotions as a state was significantly higher among the people with the first depressive episode in comparison to the people with recurrent depressive disorders. The severity of depression correlated positively with the intensity of negative emotions as a state both at the time of inclusion in the study and after obtaining a response to the applied pharmacological treatment. Experienced positive and negative emotions, understood both as a state and as a trait, differentiate not only individuals with depression from healthy people, but also patients with the first depressive episode and those with recurrent depressive disorders.

Przypisy

• 1. Burns D.D., Eidelson R.J.: Why are depression and anxiety correlated?A test of the tripartite model. J. Consult. Clin. Psychol., 1998; 66: 461–473 2 Clark L.A., Watson D.: Tripartite model of anxiety and depression:Psychometric evidence and taxonomic implications. J. Abnorm.Psychol., 1991; 100: 316–336
  Google Scholar
• 2. neurotic triad subscales and depression levels after pharmacologicaltreatment in patients with depressive disorders – clinical study.Psychiatr. Danub., 2011; 23: 347–354
  Google Scholar
• 3. Elgersma H.J., Glashouwer K.A., Bockting C.L. Penninx B.W., deJong P.J.: Hidden scars in depression? Implicit and explicit self-associationsfollowing recurrent depressive episodes. J. Abnorm. Psychol.,2013; 122: 951–960
  Google Scholar
• 4. Fajkowska M., Marszał-Wiśniewska M.: Właściwości psychometryczneSkali Pozytywnego i Negatywnego Afektu – Wersja Rozszerzona(PANAS-X). Wstępne wyniki badań w polskiej próbie. Przegl.Psychol., 2009; 52: 355–387
  Google Scholar
• 5. Gałecki P., Talarowska M.: Inflammatory theory of depression.Psychiatr. Pol., 2018; 52: 437–447
  Google Scholar
• 6. Hamilton M.: A rating scale for depression. J. Neurol. Neurosurg.Psychiatry, 1960; 23: 56–62
  Google Scholar
• 7. Hodes G.E., Ménard C., Russo S.J.: Integrating Interleukin-6 intodepression diagnosis and treatment. Neurobiol. Stress., 2016; 4: 15–22
  Google Scholar
• 8. Jovanović V.: Beyond the PANAS: Incremental validity of theScale of Positive and Negative Experience (SPANE) in relation towell-being. Pers. Individ. Diff., 2015; 86: 487–491
  Google Scholar
• 9. Kessler R.C, Ustün T.B.: The World Mental Health (WMH) SurveyInitiative Version of the World Health Organization (WHO) CompositeInternational Diagnostic Interview (CIDI). Int. J. Methods Psychiatr.Res., 2004; 13: 93–121
  Google Scholar
• 10. Mosquera D., Gonzalez A., Leeds A.M.: Early experience, structuraldissociation, and emotional dysregulation in borderline personalitydisorder: the role of insecure and disorganized attachment.Borderline Personal Disord. Emot. Dysregul., 2014; 1: 15
  Google Scholar
• 11. Penner J., Ford K.A., Taylor R., Schaefer B., Théberge J., Neufeld R.W.,Osuch E.A., Menon R.S., Rajakumar N., Allman J.M., Williamson P.C.: Medialprefrontal and anterior insular connectivity in early schizophreniaand major depressive disorder: A resting functional MRI evaluation oflarge-scale brain network models. Front. Hum. Neurosci., 2016; 10: 132
  Google Scholar
• 12. Talarowska M., Galecki P.: Cognition and emotions in recurrentdepressive disorders – The role of inflammation and the kynureninepathway. Curr. Pharm. Des., 2016; 22: 955–962
  Google Scholar
• 13. Talarowska M., Gałecki P.: Teoria wczesnych nieadaptacyjnychschematów Younga z perspektywy teorii neurorozwojowej depresji.Neuropsychiatr. Neuropsychol., 2017; 12: 101–107
  Google Scholar
• 14. Talarowska M., Zboralski K., Chamielec M., Gałecki P.: The MMPI-
  Google Scholar
• 15. Toro R., Alzate L., Santana L., Ramirez I.: Negative affect as amediator between intolerance to uncertainty, anxiety and depression.Ansiedad y Estrés, 2018; 24: 112–118
  Google Scholar
• 16. Watson D.: Emotions and social behavior. Mood and temperament.Guilford Press, New York 2000
  Google Scholar
• 17. Watson D., Clark L.A., Tellegen A.: Development and validationof brief measures of positive and negative affect: The PANAS scales.J. Pers. Soc. Psychol., 1988; 54: 1063–1070
  Google Scholar
• 18. Watson D., Tellegen A.: Toward a consensual structure of mood.Psychol. Bull., 1985; 98: 219–235
  Google Scholar

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