Spanish adaptation and validation of the ALS Depression Inventory-12 (ADI-12) in patients with Amyotrophic Lateral Sclerosis.

ADI-12 Amyotrophic Lateral Sclerosis Anxiety Depression

Journal

Archives of medical research
ISSN: 1873-5487
Titre abrégé: Arch Med Res
Pays: United States
ID NLM: 9312706

Informations de publication

Date de publication:
22 Dec 2023
Historique:
received: 29 08 2023
revised: 08 11 2023
accepted: 12 12 2023
medline: 23 12 2023
pubmed: 23 12 2023
entrez: 23 12 2023
Statut: aheadofprint

Résumé

Patients with Amyotrophic Lateral Sclerosis (ALS) have a higher prevalence of mood disorders, including depression, than the general population. Non-specific measurement instruments have been used to evaluate depression in these patients, which complicates accurate diagnosis. The ALS Depression Inventory (ADI-12) exclusively assesses depressive symptoms in patients with ALS. To adapt and validate the ADI-12 in a Spanish sample. A selective design was used with 74 patients with ALS, using the ADI-12 questionnaire. The original instrument was translated and back-translated into Spanish. The internal structure, temporal stability, convergent, and discriminant validity of the instrument were analyzed. Two confirmatory models showed internal validity (p = 0.502 for the one-factor model, p = 0.507 for the two-factor model). The Cronbach's alpha (0.900 in the first measurement and 0.889 in the second one) indicated a high internal consistency of the test. The Pearson correlation (0.90) indicated high temporal stability. In terms of convergent validity, the ADI-12 showed moderate correlations with the Beck Anxiety Inventory (BAI) (0.51-0.58), and low correlations with time since ALS diagnosis (-0.26 to -0.27). The main limitation of the present study was the small sample size. The ADI-12 is fitted to a single general factor of depression, and the scale shows high internal consistency and high temporal stability, therefore, its use is recommended for the diagnosis of depression in patients with ALS.

Sections du résumé

BACKGROUND BACKGROUND
Patients with Amyotrophic Lateral Sclerosis (ALS) have a higher prevalence of mood disorders, including depression, than the general population. Non-specific measurement instruments have been used to evaluate depression in these patients, which complicates accurate diagnosis. The ALS Depression Inventory (ADI-12) exclusively assesses depressive symptoms in patients with ALS.
AIM OBJECTIVE
To adapt and validate the ADI-12 in a Spanish sample.
METHODS METHODS
A selective design was used with 74 patients with ALS, using the ADI-12 questionnaire. The original instrument was translated and back-translated into Spanish. The internal structure, temporal stability, convergent, and discriminant validity of the instrument were analyzed.
RESULTS RESULTS
Two confirmatory models showed internal validity (p = 0.502 for the one-factor model, p = 0.507 for the two-factor model). The Cronbach's alpha (0.900 in the first measurement and 0.889 in the second one) indicated a high internal consistency of the test. The Pearson correlation (0.90) indicated high temporal stability. In terms of convergent validity, the ADI-12 showed moderate correlations with the Beck Anxiety Inventory (BAI) (0.51-0.58), and low correlations with time since ALS diagnosis (-0.26 to -0.27).
LIMITATIONS CONCLUSIONS
The main limitation of the present study was the small sample size.
CONCLUSIONS CONCLUSIONS
The ADI-12 is fitted to a single general factor of depression, and the scale shows high internal consistency and high temporal stability, therefore, its use is recommended for the diagnosis of depression in patients with ALS.

Identifiants

pubmed: 38141272
pii: S0188-4409(23)00179-0
doi: 10.1016/j.arcmed.2023.102936
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102936

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Conflicts of Interest The authors declare no conflict of interest.

Auteurs

David Sancho-Cantus (D)

Department of Nursing, Catholic University of Valencia, Valencia, Spain.

Laura Cubero-Plazas (L)

Department of Nursing, Catholic University of Valencia, Valencia, Spain. Electronic address: laura.cubero@ucv.es.

Jesús Privado (J)

Department of Methodology of Behavioral Sciences, Universidad Complutense de Madrid, Campus de Somosaguas, Pozuelo de Alarcón, Madrid, Spain.

Eduardo Jesús Aguilar García-Iturrospe (EJA)

Hospital Clínico Universitario de Valencia, Valencia, Spain; Fundación Investigación Hospital Clínico de Valencia, INCLIVA, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain. CIBERSAM: Spanish National Network for Research in Mental Health, Madrid, Spain.

Montserrat Cañabate Ros (M)

Department of Nursing, Catholic University of Valencia, Valencia, Spain; Hospital Clínico Universitario de Valencia, Valencia, Spain; Fundación Investigación Hospital Clínico de Valencia, INCLIVA, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain. CIBERSAM: Spanish National Network for Research in Mental Health, Madrid, Spain.

Esther Navarro-Illana (E)

Department of Nursing, Catholic University of Valencia, Valencia, Spain.

José Enrique de la Rubia Ortí (JER)

Department of Nursing, Catholic University of Valencia, Valencia, Spain.

Classifications MeSH