Abstract
The analysis of epidemiological studies shows an increase in the number of people suffering from depression. One should also take into account those on the brink of depression and those who, for various reasons, will never be diagnosed but are ill. Depression has a detrimental effect on patients’ quality of life and poses a threat to one’s health. Additionally, it is a serious social issue that is linked with psychological consequences for a given patient’s environment and growing costs of depression treatment. The description of depression is complex and regards psycho-social factors. There are many models of depression and ways of dealing with it. The growth of knowledge about depression might contribute to early diagnosing and, in particular situations, it might prevent the illness. The model of depression presented in the theory of transactional analysis is useful in describing and understanding issues concerning depression. The specific language of transactional analysis is useful in the educational process, it also allows for analysing the phenomenon by identifying particular behaviour and utterances. This language can be used for the analysis of social media which have been reflecting real-life problems for some time.
Highlights
“People suffering from depression are exposed to a 40–60% higher risk of premature death linked with physical health issues, which often remain undiagnosed or untreated (Health Policy Programme - Program polityki zdrowotnej, p. 12)
TA theory offers concept language that allows for diagnosing depression and taking certain therapeutic measures
The aforesaid research cycle concerning individual cases makes it possible to assume that TA is efficient in depression treatment
Summary
Jak cytować [how to cite]: Wieczorek, Z. Depression in the light of the Transactional Analysis theory – social media Big Data analysis.
Published Version
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