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Correlation Analysis Between Attentional Bias and Somatic Symptoms in Depressive Disorders.
Wang, Yun; He, Yajun; Wang, Gaohua; Li, Jiang-Bo; Zhu, Haibing.
Afiliação
  • Wang Y; Department of Psychiatry, Guangzhou Panyu Central Hospital, Guangzhou, China.
  • He Y; Mental Health Center, People's Hospital of Wuhan University, Wuhan, China.
  • Wang G; Department of Pathology, Shenzhen Baoan District People's Hospital, Shenzhen, China.
  • Li JB; Mental Health Center, People's Hospital of Wuhan University, Wuhan, China.
  • Zhu H; Department of Clinical Psychology, Second People's Hospital of Wuhu, Wuhu, China.
Front Psychiatry ; 10: 903, 2019.
Article em En | MEDLINE | ID: mdl-31920752
ABSTRACT

Objective:

To investigate the relationship between attentional bias and the severity of depression as assessed by the TORAWARE state and physical symptoms.

Methods:

We enrolled 55 patients with depression and 60 healthy people. The Hamilton Depression Scale (HAMD-24), Somatic Self-Rating Scale (SSS), and the Chinese version of the Self-Rating Scale for the TORAWARE State of Neurosis (SSTN) were selected to assess the severity of psychological symptoms. Dot-probe tasks were used to detect attentional bias. We then analyzed the correlation of attentional bias with the total scores on the symptom scales.

Results:

The negative attentional bias and negative disengaging index scores were both greater than 0 (t = 3.15 and 2.78, respectively; all P < 0.01). The negative attention bias score was positively correlated with the SSTN and negative disengaging index scores (r = 0.29 and 0.53, respectively; all P < 0.05). SSTN score was positively correlated with the total HAMD and SSS scores (r = 0.34 and 0.38, respectively; all P < 0.05).

Conclusion:

There is no direct correlation between negative attentional bias and depression. It may be through the intermediate mechanism of TORAWARE state to influence symptoms.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article