کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4933436 | 1433794 | 2017 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Reliability and validity of Chinese version of perceived deficits questionnaire for depression in patients with MDD
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
روانپزشکی بیولوژیکی
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چکیده انگلیسی
Although cognitive symptoms are prevalent and negatively affect psychosocial functioning, they are not commonly assessed in clinical practice, particularly in China. Perceived Deficits Questionnaire for Depression (PDQ-D) provides a subjective measure of cognitive dysfunction. This study aimed to examine the psychometric properties of Chinese version of PDQ-D in patients with MDD. The study sample comprised of 129 patients with MDD and 128 community volunteers. All patients with MDD were assessed with PDQ-D, Sheehan Disability Scale (SDS), Work Productivity and Activity Impairment: Specific Health Problem (WPAI-SPH), Patient Health Questionnaire-9 item (PHQ-9), and Digit Symbol Substitution Test (DSST). Community volunteers were assessed with PDQ-D, PHQ-9 and DSST. The Chinese version of PDQ-D showed excellent internal consistency and test-retest reliability. Three factors were identified and together explained 62.48% of the total variance. Validity of the PDQ-D was supported by its significant correlations with self-reported impaired work productivity, disability in all sub-domains of SDS, along with significant difference between community volunteers and MDD patients in PDQ-D. The questionnaire also significantly correlated with PHQ-9, but no correlation between PDQ-D and DSST was found. The Chinese version of the PDQ-D was found to be psychometrically valid to evaluate subjective cognitive dysfunction in patients with MDD.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Psychiatry Research - Volume 252, June 2017, Pages 319-324
Journal: Psychiatry Research - Volume 252, June 2017, Pages 319-324
نویسندگان
Shi Chuan, Wang Gang, Tian Feng, Han Xiaolei, Sha Sha, Xing Xiaomeng, Yu Xin,