抑郁症的交易分析理论——社交媒体大数据分析

Zbigniew Wieczorek
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引用次数: 0

摘要

对流行病学研究的分析表明,患抑郁症的人数有所增加。人们还应该考虑到那些处于抑郁边缘的人,以及那些由于各种原因永远不会被诊断出来但已经生病的人。抑郁症对病人的生活质量有不利的影响,并对一个人的健康构成威胁。此外,这是一个严重的社会问题,与特定患者环境的心理后果和不断增长的抑郁症治疗费用有关。抑郁症的描述是复杂的,涉及心理社会因素。抑郁症有很多类型和治疗方法。关于抑郁症知识的增长可能有助于早期诊断,在特定情况下,它可能会预防这种疾病。交易分析理论中提出的抑郁症模型有助于描述和理解与抑郁症有关的问题。交易分析的特定语言在教育过程中是有用的,它也允许通过识别特定的行为和话语来分析现象。这种语言可以用于分析社交媒体,这反映了一段时间以来的现实问题。
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Depression in the light of the Transactional Analysis theory – social media Big Data analysis
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.
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