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

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 De...

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Autores principales: Chan, Lai Fong, Eu, Choon Leng, Tong, Seng Fah, Chin, Song Jie, Sharip, Shalisah, Chai, Yee Chin, Loo, Jiann Lin, Mohamad Kamal, Nurul Ain, Goon, Jo Aan, Mahadevan, Raynuha, Liu, Chian Yong, Yeoh, Chih Nie, Mohd Daud, Tuti Iryani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910357/
https://www.ncbi.nlm.nih.gov/pubmed/35270494
http://dx.doi.org/10.3390/ijerph19052801
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author Chan, Lai Fong
Eu, Choon Leng
Tong, Seng Fah
Chin, Song Jie
Sharip, Shalisah
Chai, Yee Chin
Loo, Jiann Lin
Mohamad Kamal, Nurul Ain
Goon, Jo Aan
Mahadevan, Raynuha
Liu, Chian Yong
Yeoh, Chih Nie
Mohd Daud, Tuti Iryani
author_facet Chan, Lai Fong
Eu, Choon Leng
Tong, Seng Fah
Chin, Song Jie
Sharip, Shalisah
Chai, Yee Chin
Loo, Jiann Lin
Mohamad Kamal, Nurul Ain
Goon, Jo Aan
Mahadevan, Raynuha
Liu, Chian Yong
Yeoh, Chih Nie
Mohd Daud, Tuti Iryani
author_sort Chan, Lai Fong
collection PubMed
description 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.
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spelling pubmed-89103572022-03-11 Validation of the Malay Self-Report Quick Inventory of Depressive Symptomatology in a Malaysian Sample Chan, Lai Fong Eu, Choon Leng Tong, Seng Fah Chin, Song Jie Sharip, Shalisah Chai, Yee Chin Loo, Jiann Lin Mohamad Kamal, Nurul Ain Goon, Jo Aan Mahadevan, Raynuha Liu, Chian Yong Yeoh, Chih Nie Mohd Daud, Tuti Iryani Int J Environ Res Public Health Article 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. MDPI 2022-02-28 /pmc/articles/PMC8910357/ /pubmed/35270494 http://dx.doi.org/10.3390/ijerph19052801 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chan, Lai Fong
Eu, Choon Leng
Tong, Seng Fah
Chin, Song Jie
Sharip, Shalisah
Chai, Yee Chin
Loo, Jiann Lin
Mohamad Kamal, Nurul Ain
Goon, Jo Aan
Mahadevan, Raynuha
Liu, Chian Yong
Yeoh, Chih Nie
Mohd Daud, Tuti Iryani
Validation of the Malay Self-Report Quick Inventory of Depressive Symptomatology in a Malaysian Sample
title Validation of the Malay Self-Report Quick Inventory of Depressive Symptomatology in a Malaysian Sample
title_full Validation of the Malay Self-Report Quick Inventory of Depressive Symptomatology in a Malaysian Sample
title_fullStr Validation of the Malay Self-Report Quick Inventory of Depressive Symptomatology in a Malaysian Sample
title_full_unstemmed Validation of the Malay Self-Report Quick Inventory of Depressive Symptomatology in a Malaysian Sample
title_short Validation of the Malay Self-Report Quick Inventory of Depressive Symptomatology in a Malaysian Sample
title_sort validation of the malay self-report quick inventory of depressive symptomatology in a malaysian sample
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910357/
https://www.ncbi.nlm.nih.gov/pubmed/35270494
http://dx.doi.org/10.3390/ijerph19052801
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