Your browser doesn't support javascript.
loading
Components and time characteristics of attentional bias in type 2 diabetic patients with different levels of self-management / 中国心理卫生杂志
Chinese Mental Health Journal ; (12): 971-977, 2017.
Article in Chinese | WPRIM | ID: wpr-703958
ABSTRACT

Objective:

To explore the components and time characteristics of attentional bias in type 2 diabetic patients with different levels of self-management.

Methods:

The patients were first divided into higher,medium and lower self-management levels based on the Summary of Diabetes Self-care Activities Questionnaire (SDSCA),63 subjects in each group.A probe detection task was used to examine the impact of the different emotional pictures and stimulus presenting time on attentional bias.

Results:

When the stimuli were displayed for 500 ms,patients with higher self-management levels showed shorter reaction time to positive pictures than to negative pictures [(597.8 ± 185.5) ms vs.(626.0 ± 186.6) ms,P < 0.01],and their scores of negative attentional bias [(-22.5 ± 79.0) ms,P <0.05] and negative orienting index were lower than 0[(-26.6 ±74.5) ms,P <0.01].The scores of negative disengaging index were significant higher than 0 in patients with medium self-management levels [(17.2 ± 60.3) ms,P <0.05],the scores of positive disengaging index were significant lower than 0 in patients with lower selfmanagement levels [(-22.6 ±74.8) ms,P <0.05]].When the stimuli were displayed for 1250 ms,the scores of positive orienting index were higher than 0 in patients with medium self-management levels [(14.9 ± 54.4) ms,P < 0.05].

Conclusion:

It suggests that there are different characteristics of implicit cognitive processing in patients with different levels of self-management.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Mental Health Journal Year: 2017 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Mental Health Journal Year: 2017 Type: Article