Validity and reliability of the Persian version of the Geriatric Depression Scale-15 in older adults with Parkinson’s disease

The Persian version of the GDS-15 is a reliable and valid instrument for assessing depression in older adults with PD and can be utilized in both clinical and research settings.

Authors

Institutions

Publication Details

Journal
Applied Neuropsychology Adult
Published
2025-08-14
DOI
https://doi.org/10.1080/23279095.2025.2547311
Primary Topic
Health and Well-being Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validity and reliability of the Persian version of the Geriatric Depression Scale-15 in older adults with Parkinson’s disease

Ghorban Taghizadeh, Reihaneh Akbari, Maryam Mehdizadeh, Shirin Habibi et al.
Applied Neuropsychology Adult
Health and Well-being Studies
article

Validity and reliability of the Persian version of the Geriatric Depression Scale-15 in older adults with Parkinson’s disease

Ghorban Taghizadeh, Reihaneh Akbari, Maryam Mehdizadeh, Shirin Habibi, Masoumeh Bayat, Hossein Soltaninejad, Farzaneh Fendereski
article en

Abstract

The Persian version of the GDS-15 is a reliable and valid instrument for assessing depression in older adults with PD and can be utilized in both clinical and research settings.

Applied Neuropsychology Adult
Arak University of Medical Sciences (IR), Mental Health Research Institute (AU), Iran University of Medical Sciences (IR), Rasool Akram Hospital (IR)
Openalex Percentile: Top 72%
Health and Well-being Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.