کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
318101 538284 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The 6-item Kessler psychological distress scale to survey serious mental illness among Chinese undergraduates: Psychometric properties and prevalence estimate
ترجمه فارسی عنوان
مقیاس دشواری روانشناسی کسلر 6 مورد برای بررسی بیماریهای شدید روانی در میان دانشجویان چینی: خواص روان سنجی و برآورد شیوع
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی روانپزشکی بیولوژیکی
چکیده انگلیسی

ObjectiveTo evaluate the psychometric properties of the 6-item Kessler psychological distress scale (K6) in screening for serious mental illness (SMI) among undergraduates in a major comprehensive university in China.MethodThe K6 was self-completed by 8289 randomly sampled participants. A group of them (n = 222) were re-assessed using K6 and interviewed using the Chinese version of Composite International Diagnostic Interview 3.1 (CIDI-3.1).ResultsThe test–retest reliability of the K6 scale was 0.79, the Cronbach's alpha was 0.84, and its area under the receiver operating curve (AUC) for diagnosing CIDI-3.1 SMI was 0.85 (95% CI = 0.80–0.90). For the optimal cut-off of K6 (12/13), the sensitivity (SEN), specificity (SPE), positive predictive value (PPV), negative predictive value (NPV), and classification accuracy (AC) were 0.83, 0.79, 0.60, 0.93, and 0.80, respectively. The 12-month prevalence of SMI was estimated as 3.97% using this optimal cut-off. Binary logistic regression analysis (including gender, ethnicity, grade, number of siblings and family residency location) showed that only family residency location in rural areas compared to urban areas was significantly associated with more SMI.ConclusionsThis study documented the value of using the K6 for detecting SMI in Chinese undergraduate populations and supported its cross-cultural reliability and validity.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Comprehensive Psychiatry - Volume 63, November 2015, Pages 105–112
نویسندگان
, , , , , , , , , , , , , , ,