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Validation of the Malay Self-Report Quick Inventory of Depressive Symptomatology in a Malaysian Sample.

Lai Fong ChanChoon Leng EuSeng-Fah TongSong Jie ChinShalisah SharipYee Chin ChaiJiann Lin LooNurul Ain Mohamad KamalJo Aan GoonRaynuha MahadevanChian Yong LiuChih Nie YeohTuti Iryani Mohd Daud
Published in: International journal of environmental research and public health (2022)
Depression is ranked as the second-leading cause for years lived with disability worldwide. Objective monitoring with a standardized scale for depressive symptoms can improve treatment outcomes. This study evaluates the construct and concurrent validity of the Malay Self-Report Quick Inventory of Depressive Symptomatology (QIDS-SR16) among Malaysian clinical and community samples. This cross-sectional study was based on 277 participants, i.e., patients with current major depressive episode (MDE), n = 104, and participants without current MDE, n = 173. Participants answered the Malay QIDS-SR16 and were administered the validated Malay Mini-International Neuropsychiatric Interview (MINI) for DSM-IV-TR. Factor analysis was used to determine construct validity, alpha statistic for internal consistency, and receiver operating characteristic (ROC) analysis for concurrent validity with MINI to determine the optimal threshold to identify MDE. Data analysis provided evidence for the unidimensionality of the Malay QIDS-SR16 with good internal consistency (Cronbach's α = 0.88). Based on ROC analysis, the questionnaire demonstrated good validity with a robust area under the curve of 0.916 ( p < 0.000, 95% CI 0.884-0.948). A cut-off score of nine provided the best balance between sensitivity (88.5%) and specificity (83.2%). The Malay QIDS-SR16 is a reliable and valid instrument for identifying MDE in unipolar or bipolar depression.
Keyphrases
  • depressive symptoms
  • data analysis
  • bipolar disorder
  • sleep quality
  • stress induced
  • mental health
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