General Health Questionnaire (GHQ-12), Beck Depression Inventory (BDI-6), and Mental Health Index (MHI-5): psychometric and predictive properties in a Finnish population-based sample.
Adult
Aged
Aged, 80 and over
Anxiety
/ diagnosis
Depression
/ diagnosis
Female
Finland
Humans
Male
Mental Health
Mental Health Services
/ statistics & numerical data
Middle Aged
Psychiatric Status Rating Scales
/ standards
Psychometrics
/ instrumentation
Reproducibility of Results
Sensitivity and Specificity
Surveys and Questionnaires
Depression
Distress
Measuring
Population
Psychometrics
Journal
Psychiatry research
ISSN: 1872-7123
Titre abrégé: Psychiatry Res
Pays: Ireland
ID NLM: 7911385
Informations de publication
Date de publication:
07 2020
07 2020
Historique:
received:
15
08
2019
revised:
17
03
2020
accepted:
29
03
2020
pubmed:
16
5
2020
medline:
2
2
2021
entrez:
16
5
2020
Statut:
ppublish
Résumé
The short versions of the General Health Questionnaire (GHQ-12), Beck's Depression Inventory (BDI-6), and Mental Health Index (MHI-5) are all valid and reliable measures of general psychological distress, depressive symptoms, and anxiety. We tested the psychometric properties of the scales, their overlap, and their ability to predict mental health service use using both regression and machine learning (ML, random forest) approaches. Data were from the population-based FinHealth-2017 Study of adults (N = 4270) with data on all of the evaluated instruments. Constructive validity, internal consistency, invariance, and optimal cut-off points in predicting mental health services were tested. Constructive validity was acceptable and all instruments measured their own distinct phenomenon. Some of the item scoring in BDI-6 was not optimal, and the sensitivity and specificity of all scales were relatively weak in predicting service use. Small gender differences emerged in optimal cut-off points. ML did not improve model predictions. GHQ-12, BDI-6, and MHI-5 may be interpreted to measure different constructs of psychological health symptoms, but are not particularly useful predictors of service use.
Identifiants
pubmed: 32413708
pii: S0165-1781(19)31754-8
doi: 10.1016/j.psychres.2020.112973
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
112973Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest All authors declare no competing interests. No support from any organization for the submitted work, no other relationships or activities that could appear to have influenced the submitted work.