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Characteristics of attentional bias in Wilson disease patients with different levels of state-trait anxiety / 中华行为医学与脑科学杂志
Chinese Journal of Behavioral Medicine and Brain Science ; (12): 698-702, 2022.
Artículo en Chino | WPRIM | ID: wpr-956146
ABSTRACT

Objective:

To investigate the characteristics of attention bias in Wilson disease(WD) patients with different levels of state-trait anxiety.

Methods:

The emotional Stroop paradigm and the state-trait anxiety inventory(STAI) were used to evaluate the anxiety level and the characteristics of attention bias in 49 inpatients with WD.SPSS 25.0 software was used for statistical analysis.Independent sample t-test was used for comparison between the two groups.Multiple linear regression analysis was used to evaluated the influencing factors of attentional bias response time.

Results:

(1) In WD patients, the response times measured under the positive, negative and neutral words in the high trait anxiety group((867.0±172.1)ms, (877.0±167.7)ms, (898.4±169.8)ms, respectively) were significantly higher than the low trait anxiety group((771.9±128.9)ms, (770.9±110.4)ms, (778.4±120.1)ms, respectively) and the differences were statistically significant( t=-2.183, -2.605, -2.847, all P<0.05). The response times under the positive, negative and neutral word measured in the high state anxiety group((866.9±171.9)ms, (867.8±173.8)ms, (889.8±173.5)ms, respectively) were higher than those of the low state anxiety group((771.9±129.2)ms, (780.4±109.3)ms, (787.3±123.0)ms, respectively) and the differences were statistically significant( t=-2.177, -2.116, -2.378, all P<0.05). (2) Multiple linear regression analysis showed that the total score of trait anxiety ( B=4.584, 4.671, 5.376, P=0.020, 0.015, 0.008) and age ( B=9.314, 7.864, 7.505, P=0.002, 0.008, 0.014) were the influencing factors of response times measured under the positive, negative and neutral emotion words.

Conclusion:

Anxiety will lead patients with WD to show more negative attention bias, and trait anxiety can significantly predict the characteristics of attention bias.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Chinese Journal of Behavioral Medicine and Brain Science Año: 2022 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Chinese Journal of Behavioral Medicine and Brain Science Año: 2022 Tipo del documento: Artículo