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The validity and reliability of the PHQ-9 on screening of depression in neurology: a cross sectional study

BACKGROUND: This study aimed to explore the validity and reliability of the Patient Health Questionnaire-9 (PHQ-9) on screening of depression among patients with neurological disorders, and to explore factors influencing such patients. METHODS: In this study, 277 subjects who were admitted to the de...

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Autores principales: Sun, Yajing, Kong, Zhifei, Song, Yuqing, Liu, Jing, Wang, Xilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827244/
https://www.ncbi.nlm.nih.gov/pubmed/35139810
http://dx.doi.org/10.1186/s12888-021-03661-w
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author Sun, Yajing
Kong, Zhifei
Song, Yuqing
Liu, Jing
Wang, Xilin
author_facet Sun, Yajing
Kong, Zhifei
Song, Yuqing
Liu, Jing
Wang, Xilin
author_sort Sun, Yajing
collection PubMed
description BACKGROUND: This study aimed to explore the validity and reliability of the Patient Health Questionnaire-9 (PHQ-9) on screening of depression among patients with neurological disorders, and to explore factors influencing such patients. METHODS: In this study, 277 subjects who were admitted to the department of neurology of our hospital due to different neurological disorders completed the PHQ-9 questionnaire. The Mini-International Neuropsychiatric Interview (MINI) and Hamilton Rating Scale for Depression (HAMD) were employed to evaluate the depressive symptoms of patients who completed the PHQ-9 questionnaire. The internal consistency, criterion validity, structural validity, and optimal cut-off values of PHQ-9 were evaluated, and the consistency assessment was conducted between the depression severity as assessed by PHQ-9, HAMD and MINI. Logistic regression analysis was used to calculate the risk factors of depression. RESULTS: The Cronbach’s α coefficient of the PHQ-9 was 0.839. The Pearson’s correlation coefficient among the 9 items of the PHQ-9 scale was 0.160 ~ 0.578 (P < 0.01), and the Pearson’s correlation coefficient between each item and the total score was at the range of 0.608 ~ 0.773. Taking the results of MINI as the gold standard, the area under the receiver operating characteristic (ROC) curve of the PHQ-9 results for all the subjects (n = 277) was 0.898 (95% confidence interval (CI): 0.859 ~ 0.937, P < 0.01). When the cut-off score was equal to 5, the values of sensitivity, specificity, and the Youden’s index were 91.2, 76.6%, and 0.678, respectively. Multivariate logistic regression analysis showed that the influence of unemployment on the occurrence of depression was statistically significant (P = 0.027, OR = 3.080, 95%CI: 1.133 ~ 8.374). CONCLUSIONS: The application of PHQ-9 for screening of depression among Chinese patients with neurological disorders showed a good reliability and validity.
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spelling pubmed-88272442022-02-10 The validity and reliability of the PHQ-9 on screening of depression in neurology: a cross sectional study Sun, Yajing Kong, Zhifei Song, Yuqing Liu, Jing Wang, Xilin BMC Psychiatry Research BACKGROUND: This study aimed to explore the validity and reliability of the Patient Health Questionnaire-9 (PHQ-9) on screening of depression among patients with neurological disorders, and to explore factors influencing such patients. METHODS: In this study, 277 subjects who were admitted to the department of neurology of our hospital due to different neurological disorders completed the PHQ-9 questionnaire. The Mini-International Neuropsychiatric Interview (MINI) and Hamilton Rating Scale for Depression (HAMD) were employed to evaluate the depressive symptoms of patients who completed the PHQ-9 questionnaire. The internal consistency, criterion validity, structural validity, and optimal cut-off values of PHQ-9 were evaluated, and the consistency assessment was conducted between the depression severity as assessed by PHQ-9, HAMD and MINI. Logistic regression analysis was used to calculate the risk factors of depression. RESULTS: The Cronbach’s α coefficient of the PHQ-9 was 0.839. The Pearson’s correlation coefficient among the 9 items of the PHQ-9 scale was 0.160 ~ 0.578 (P < 0.01), and the Pearson’s correlation coefficient between each item and the total score was at the range of 0.608 ~ 0.773. Taking the results of MINI as the gold standard, the area under the receiver operating characteristic (ROC) curve of the PHQ-9 results for all the subjects (n = 277) was 0.898 (95% confidence interval (CI): 0.859 ~ 0.937, P < 0.01). When the cut-off score was equal to 5, the values of sensitivity, specificity, and the Youden’s index were 91.2, 76.6%, and 0.678, respectively. Multivariate logistic regression analysis showed that the influence of unemployment on the occurrence of depression was statistically significant (P = 0.027, OR = 3.080, 95%CI: 1.133 ~ 8.374). CONCLUSIONS: The application of PHQ-9 for screening of depression among Chinese patients with neurological disorders showed a good reliability and validity. BioMed Central 2022-02-09 /pmc/articles/PMC8827244/ /pubmed/35139810 http://dx.doi.org/10.1186/s12888-021-03661-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sun, Yajing
Kong, Zhifei
Song, Yuqing
Liu, Jing
Wang, Xilin
The validity and reliability of the PHQ-9 on screening of depression in neurology: a cross sectional study
title The validity and reliability of the PHQ-9 on screening of depression in neurology: a cross sectional study
title_full The validity and reliability of the PHQ-9 on screening of depression in neurology: a cross sectional study
title_fullStr The validity and reliability of the PHQ-9 on screening of depression in neurology: a cross sectional study
title_full_unstemmed The validity and reliability of the PHQ-9 on screening of depression in neurology: a cross sectional study
title_short The validity and reliability of the PHQ-9 on screening of depression in neurology: a cross sectional study
title_sort validity and reliability of the phq-9 on screening of depression in neurology: a cross sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827244/
https://www.ncbi.nlm.nih.gov/pubmed/35139810
http://dx.doi.org/10.1186/s12888-021-03661-w
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