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Development of an Multi-dimentional Affect Scale for Distinguishing between Depression and Anxiety

우울과 불안의 변별적 진단을 위한 다차원 정서 척도의 개발

  • Received : 2018.08.10
  • Accepted : 2018.10.20
  • Published : 2018.10.28

Abstract

The depression and anxiety are the most popular mental disorders and not easy to distinguish because of their lots of similarities in the diagnostic criteria, related theories, and clinical symptoms. In this article, we developed the affect scale for distinguishable diagnosis, utilized the relationships between the Positive and Negative affect, and the depression and anxiety. We made up the seed scale of the items which selected by partial correlation, and set the scoring up by multiple regression method. The Multi-dimentional affect scale is reliable and working similarly as the scales used before, but less correlated to each other. We conclude that the affect scale achieved the diagnosis for distinguish between depression and anxiety. Our suggestions for the further study are to redeem the cultural differences, modify by the elaborate methods, and validate by the actual clinical data.

우울과 불안은 진단 기준, 관련 이론, 증상 등에서 유사한 점이 많아 기존의 척도로는 서로를 변별하기 어렵다는 문제가 있다. 본 연구에서는 정적 정서와 부적 정서가 우울, 불안과 높은 관련성을 가지고 있다는 선행 연구를 근거로 우울과 불안의 변별적 진단을 목적으로 하는 진단 척도를 개발하였다. 먼저 우울과 불안의 공통분을 제거한 편상관 계수를 기준으로, 한 쪽에만 높은 상관을 나타내는 문항들을 찾아서 우울 및 불안에 대한 씨앗 척도를 구성하였다. 이 두 씨앗 척도를 독립변수로, 각 정서 문항을 종속변수로 하는 다중 회귀를 시행하여 회귀 계수를 구했으며, 이것을 우울과 불안 점수의 배점으로 사용하였다. 이렇게 개발된 정서 척도는 좋은 내적 일치도를 나타냈으며, 기존 척도와는 높은 상관을 가지면서도 서로에 대한 상관은 더 낮았기 때문에, 기존 척도만큼 잘 측정하면서도 우울과 불안을 좀 더 잘 변별할 것으로 기대되었다. 실제 활용을 위해서 정서에 대한 문화적 특성을 보완하고, 보다 정교한 통계적 방법을 적용해야 할 것이며, 임상집단을 대상으로 하는 타당화 연구를 제안하였다.

Keywords

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