Use of the 33-Item Hypomania Checklist (HCL-33) to Distinguish Bipolar Disorder From Major Depressive Disorder in Older Adults.


Journal

Journal of geriatric psychiatry and neurology
ISSN: 0891-9887
Titre abrégé: J Geriatr Psychiatry Neurol
Pays: United States
ID NLM: 8805645

Informations de publication

Date de publication:
05 2022
Historique:
pubmed: 29 5 2021
medline: 12 4 2022
entrez: 28 5 2021
Statut: ppublish

Résumé

Bipolar disorder (BD) is often misdiagnosed as major depressive disorder (MDD) in older patients. This study examined the psychometric properties of the 33-item Hypomania Checklist (HCL-33) and its accuracy to differentiate BD from MDD among older adults. A total of 215 depressed older patients were recruited; 107 were diagnosed with BD (71 with BD-type I and 36 with BD-type II) and 108 with MDD. Principal components analysis (PCA) was used to explore the factor structure of the HCL-33. Cronbach's alpha was calculated to test the internal consistency. Intra-class correlation coefficient (ICC) was used to measure test-retest reliability. The receiver operating characteristic (ROC) analysis was used to generate the optimal cut-off value to differentiate between BD and MDD. Two factors were identified in the PCA analysis accounting for 33.9% of the total variance. The Cronbach's alpha value for the HCL-33 was 0.912, with 0.922 for factor I and 0.664 for factor II. The test-retest reliability was excellent (ICC: 0.891). The optimal cut-off of the HCL-33 total score for discriminating between MDD and BD was 14, with a sensitivity of 88.8% and specificity of 82.4%. The HCL-33 had satisfactory reliability and validity and could be used to distinguish BD from MDD in older adults.

Sections du résumé

BACKGROUND
Bipolar disorder (BD) is often misdiagnosed as major depressive disorder (MDD) in older patients. This study examined the psychometric properties of the 33-item Hypomania Checklist (HCL-33) and its accuracy to differentiate BD from MDD among older adults.
METHOD
A total of 215 depressed older patients were recruited; 107 were diagnosed with BD (71 with BD-type I and 36 with BD-type II) and 108 with MDD. Principal components analysis (PCA) was used to explore the factor structure of the HCL-33. Cronbach's alpha was calculated to test the internal consistency. Intra-class correlation coefficient (ICC) was used to measure test-retest reliability. The receiver operating characteristic (ROC) analysis was used to generate the optimal cut-off value to differentiate between BD and MDD.
RESULTS
Two factors were identified in the PCA analysis accounting for 33.9% of the total variance. The Cronbach's alpha value for the HCL-33 was 0.912, with 0.922 for factor I and 0.664 for factor II. The test-retest reliability was excellent (ICC: 0.891). The optimal cut-off of the HCL-33 total score for discriminating between MDD and BD was 14, with a sensitivity of 88.8% and specificity of 82.4%.
CONCLUSION
The HCL-33 had satisfactory reliability and validity and could be used to distinguish BD from MDD in older adults.

Identifiants

pubmed: 34044653
doi: 10.1177/08919887211016065
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

410-417

Auteurs

Xinqiao Zhang (X)

The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China.

Wen Li (W)

Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Center for Cognition and Brain Sciences, University of Macau, Macao SAR, China.
Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao SAR, China.

Na Zhao (N)

Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Center for Cognition and Brain Sciences, University of Macau, Macao SAR, China.
Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao SAR, China.

Teris Cheung (T)

School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China.

Gabor S Ungvari (GS)

Division of Psychiatry, School of Medicine, University of Western Australia, Perth, Australia.
University of Notre Dame Australia, Fremantle, Australia.

Gang Wang (G)

The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China.

Yu-Tao Xiang (YT)

Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Center for Cognition and Brain Sciences, University of Macau, Macao SAR, China.
Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao SAR, China.

Jules Angst (J)

Zurich University Psychiatric Hospital, Zurich, Switzerland.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH