Literature DB >> 26555498

The 6-item Kessler psychological distress scale to survey serious mental illness among Chinese undergraduates: Psychometric properties and prevalence estimate.

Yu-kun Kang1, Wan-jun Guo2, Hao Xu3, Yue-hui Chen3, Xiao-jing Li1, Zheng-ping Tan4, Na Li4, Ze-Ren Gesang4, Ying-mei Wang4, Chang-bo Liu4, Ying Luo4, Jia Feng4, Qiu-jie Xu4, Sing Lee5, Tao Li6.   

Abstract

OBJECTIVE: To 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.
METHOD: The 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).
RESULTS: The 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.
CONCLUSIONS: This study documented the value of using the K6 for detecting SMI in Chinese undergraduate populations and supported its cross-cultural reliability and validity.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26555498     DOI: 10.1016/j.comppsych.2015.08.011

Source DB:  PubMed          Journal:  Compr Psychiatry        ISSN: 0010-440X            Impact factor:   3.735


  21 in total

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Journal:  PLoS One       Date:  2020-05-21       Impact factor: 3.240

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