What is the Geriatric Depression Scale (GDS)?
The Geriatric Depression Scale (GDS) is a widely used screening tool designed to identify depression in older adults. It was initially developed by researchers Yesavage and colleagues (1982) to facilitate the assessment of depression, specifically in the geriatric population.
This has become a staple in clinical gerontology due to its ease of use and focus on the affective and non-somatic aspects of depression, aligning with the presentation of depression in elderly patients.
Psychiatric research has shown that the GDS maintains a high correlation with other depression scales, reinforcing its reliability. Meta-analysis studies and pooled sensitivity evaluations have confirmed this, emphasizing the scale's robust nature across varied geriatric populations (Brañez-Condorena et al., 2021).
The GDS is available in two versions: long and short. The long form consists of 30 questions, while the short form includes 15.
Geriatric Depression Scale long form and short forms
The GDS long form (GDS-30) is the original version of the scale and is considered more comprehensive in assessing depressive symptoms. It has been extensively validated and widely used in various settings, including clinical practice, nursing homes, and community-based studies.
On the other hand, the GDS short form (GDS-15) is a shorter version of the scale designed for situations where a briefer assessment is preferred. It has demonstrated good psychometric properties and high correlation with the long form. Recent evidence supports the use of the GDS-15 as a valid and reliable screening tool for depression in older adults (Acosta Quiroz et al., 2020; Figueiredo-Duarte et al., 2019).
In clinical practice, the GDS assists healthcare practitioners by offering an efficient and validated method to probe for depressive symptoms experienced over the past week. Identifying and treating severe depression is particularly important, as the GDS categorizes depression severity into mild, moderate, and severe.










