These pages use javascript to create fly outs and drop down navigation elements.

Geriatric Depression Scale (GDS)

Please note that this section is an archive (last updated in June 2006). [disclaimer]

Sections:   Overview | Instrument Reviews | Construct Overviews | Book Compendium Reviews | Internet Site Reviews

Created 2002 May 16
Jump To A Section

Practical Information | Research Contacts | Annotated Bibliography | Factors & Norms | Reliability Evidence | Validity Evidence | Comments | Updates | Feedback

Practical Information

Instrument Name:

Geriatric Depression Scale (GDS)

Instrument Description:

This instrument measures depression in the elderly. (Ref: 1) It was specifically designed for older populations, which require items that are easier to read and understand. Depression screening with this measure in older adults with generalized anxiety disorder has also been tested. (Ref: 2) There are 30 items that generally fit on one page.

Price:

Free (original version in public domain)

Administration Time:

10-15 minutes

Publication Year:

1982

Item Readability:

Flesch-Kincaid grade level of 4.1. Items are simple sentences, usually less than 15 words each.

Scale Format:

Yes/No answer choices for all items

Administration Technique:

Typically administered by clinicians, researchers, or trained personnel, psychiatric expertise is not necessary.

Scoring and Interpretation:

"Yes" items are summed. Higher scores indicate more depression. Using a receiver operating characteristic (ROC) curve, researchers in one study found that the optimal cutting score for depressed and non-depressed patients was 19, with sensitivity and specificity of 61% and 58%, respectively. (Ref: 3) Other researchers found that a score of 11 or higher is considered as depressive, achieving 84% sensitivity and 95% specificity at this level. (Ref: 1)

Forms:

There are multiple language translations available. There are also short forms available. See the developer’s website below for more information on other forms.

Research Contacts

Instrument Developers:

Jerome A. Yesavage, T. L. Brink, Terence L. Rose, Owen Lum, Virginia Huang, Michael Adey and Von Otto Leirer

Instrument Development Location:

Department of Psychiatry and Behavioral Sciences
Stanford University of Medicine
Stanford, CA 94305

Veterans Affairs Medical Center
3801 Miranda Ave
Palo Alto, CA 94304

Geriatric Treatment Team
Santa Clara County Mental Health Department
828 S. Bascom Ave., Suite 200
San Jose, CA 95128 USA

Instrument Developer Email:

yesavage@stanford.edu

Instrument Developer Website:

www.stanford.edu/~yesavage/GDS.html

Annotated Bibliography

1. Yesavage JA, Brink TL, Rose TL, Lum O, Huang V, Adey M, Leirer VO. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1982-83;17(1):37-49. [PMID: 71383759]
Purpose: Initial publication describing the reliability and validity of the scale in comparison with the Hamilton Rating Scale for Depression and the Self-Rating Depression Scale.
Sample: Initially, 100 items were administered to 47 people, consisting of both normal and depressed elderly people over 55 years of age from the community. The 30-item form was used in the validation phase and administered to two groups. The first group (n=40) consisted of normal elderly persons recruited from the community. The second group (n=60) consisted of elderly patients being treated for depression and were recruited from the community, VA hospitals and private offices, and were inpatients and outpatients. All groups were male and female.
Methods: The first aim was to choose the items from a pool of 100. The second aim was to validate the final 30-item measure using the two groups.
Implications: The final 30 items were chosen based on the rationale that the 100-item scale should have prima facia validity for depression and that the items that correlated best with the total score would indicate depression.

2. Sheikh JI, Yesavage JA, Brooks JO, Friedman L, Gratzinger P. Proposed factor structure of the Geriatric Depression Scale 1991;3(1):23-28.
Purpose: The authors reported on the underlying structure of the GDS using factor analysis.
Sample: 326 elderly subjects (ages 66-92, mean of 71±4.35), who were recruited by means of newspaper and other media announcements, participated in the study.
Methods: The researchers used a principal components factor analysis and retained five of eight factors with eigenvalues greater than one.
Implications: The researcher suggest the possibility of used a score of 11 or greater to indicate depression, based on Yesavage et at., 1983. They also suggest that this factor structure may be useful in interpretation of scores.

3. Burke WJ, Rangwani S, Roccaforte WH, Wengel SP, Conley DM. The reliability and validity of the collateral source version of the Geriatric Depression Rating Scale administered by telephone. Int J Geriatr Psychiatry. 1997 Mar;12(3):288-94. [PMID: 9152710]
Purpose: The aim of this study was to assess the reliability and validity of the collateral source version of the GDS (CS-GDS) via telephone.
Sample: 83 geriatric outpatients and their collateral sources were recruited from the outpatient Geriatric Assessment Center at the University of Nebraska Medical Center. Patients were given a complete history and physical including a psychiatric interview, functional and physical status assessment, laboratory and radiologic tests, and evaluated by one of three geriatric psychiatrists.
Methods: Three administrations of the CS-GDS were given: first by phone, then in person, and again by phone. An RN, who had no role in the comprehensive assessment, conducted the phone interviews.
Implications: The T-CS-GDS was found to have adequate reliability and validity when administered by phone.

4. Snyder AG, Stanley MA, Novy DM, Averill PM, Beck JG. Measures of depression in older adults with generalized anxiety disorder: a psychometric evaluation. Depress Anxiety. 2000;11(3):114-20. [PMID: 10875052]
Purpose: Comparison of GDS and Beck Depression Index for evaluating depression in older adults with generalized anxiety disorder (GAD).
Sample: 54 older adults (ages 60-70, 13 women) with diagnosed GAD, 22 of which had a coexisting depressive disorder.
Methods: Participants were chosen after telephone screening (using the Anxiety Disorder Interview Schedule) and meeting DSM-IV criteria for anxiety and affective disorders. Trained psychology residents and post-doctoral fellows administered this screen. Inclusion was based primarily on the presence of GAD with a clinical severity rating of 4 or greater. The participants completed the GDS, Beck Depression Index, as well as anxiety, worry and quality of life measures.
Implications: Both measures were found to be appropriate (reliable and valid) for use in assessing depression symptoms for their population of elderly GAD patients.

5. Borin L, Menon K, Raskin A, Ruskin P. Predictors of depression in geriatric medically ill inpatients. Int J Psychiatry Med. 2001;31(1):1-8. [PMID: 11529388]
Purpose: The researchers’ aim was to identify variables that would predict depression among the elderly.
Sample: 314 male Veterans of a convenience sample, who were medically ill, and aged 60 or older were recruited for study; 60 met criteria for major depression and scored 11 or higher on the GDS.
Methods: Items from the following measures were used in one-time, interviewer-administered questionnaire: The Beck Hopelessness Scale, Life Satisfaction Score, and Cumulative Illness Rating Score, Structured Clinical Interview for DSM-III (depression module), body pain assessment, the Katz Activity of Daily Living Scale, and a one-item for assessing global health status were used to predict depression.
Implications: Medically ill patients who hopeless of the future, feel that the best years were behind them, and have serious medical problems were found to be clinically depressed.

top

Factors and Norms

Factor Analysis Work:

Initially, 100 items were administered to 47 male and female subjects over 55 years of age, comprised of those with no history of mental illness or complaints of depression and those hospitalized for mental illness (including depression.) The final 30 items were chosen based on the rationale that the 100-item scale should have prima facia validity for depression and that the items that correlated best with the total score would indicate depression. (Ref: 1) Items were chosen to assess topics relevant to depression, such as cognitive complaints, future/past orientation, self-image, losses, agitation, obsessive traits, and motivation. (Ref: 1) In a principal components analysis using data from 326 community-dwelling elderly subjects, five factors were identified after varimax rotation. Factor 1 reflected sad mood and pessimistic outlook. Factor 2 reflected lack of mental or physical energy. Factor 3 related to positive or happy mood, and Factor 4 represented agitation or restlessness. Factor 5 was described as a social withdrawal factor. (Ref: 5)

Normative Information Availability:

No information found. All studies cited used less than 100 persons in their respective samples. (Ref: 1-3) The exception was the study conducted among Veterans, which used 314 patients. (Ref: 4)

Reliability Evidence

Test-retest:

Using 20 subjects twice, one week apart, was 0.85 (p<0.001). (Ref:1) The agreement between two administrations of the T-CS-GDS was above 70% for all 30 items. (Ref: 3)

Inter-rater:

No information found.

Internal Consistency:

Median correlation with the total score was 0.54; mean inter-item correlation was 0.36; Cronbach’s alpha coefficient was 0.94; split half reliability was 0.94. (Ref: 1) In older adults with GAD, Cronbach’s alpha was found to be 0.73. (Ref: 2)

Alternate Forms:

The telephone administered GDS, or T-CS-GDS, was found to correlate at 0.87 with the original GDS. (Ref: 3)

Validity Evidence

Construct/ Convergent/ Discriminant:

The researchers provided validity evidence for the GDS based on subject classification of normal, mildly depressed, or severely depressed based on Research Diagnostic Criteria for major affective disorder. Non-depressed persons were expected to receive the lowest sores while the severely depressed individuals were expected to receive the highest scores. Analysis of variance was conducted using the classification as the between-subject factor with total scores as dependent variables to test this hypothesis. Results indicated that a significant difference existed between the groups, F (2, 97)=99.48, p<0.001 (Ref: 1) In patients with GAD, validity evidence was presented as different GDS scores for groups with and without depression [t(52) = -3.5, p<0.01]. Using t-tests and chi square analyses there was no significant difference between the two groups on age, education or gender variables. (Ref: 2) Correlation between the T-CS-GDS and the CS-GDS was found to be 0.87 (Pearson’s r; p<0.0001.) (Ref: 3)

The GDS was found to be positively correlated with other tested measures for depression. GDS and the Zung Self-Rating Depression Scale = 0.84; GDS and the Hamilton Rating Scale for Depression = 0.83; Zung Self-Rating Depression Scale and Hamilton Rating Scale for Depression = 0.80 (p<0.001 for all). (Ref: 1) The GDS correctly identified 81.3% of GAD subjects without depression and 59.1% of GAD subjects with depression based on two items [X2 (2) = 11.4, p<0.005]. (Ref: 2)

Criterion-related/ Concurrent/ Predictive:

By comparing the T-CS-GDS with clinical diagnosis of depression by psychiatrists , the receiver operating characteristic (ROC) was shown to have an area under the curve (AUC) of 0.76 (Wilcoxon z=2.7, p<0.001.) (Ref: 3)

Correlation with the classification variables (following Ferguson (1971)) was 0.82 for GDS, 0.69 for the Zung Self-Rating Depression Scale and 0.83 for Hamilton Rating Scale for Depression (for all, p<0.001). (Ref: 1)

Content:

Original GDS items created by team of clinicians and researchers involved in geriatric psychiatry. Scores on GDS correlated to Research Diagnostic Criteria for depression. (Ref: 1)

Responsiveness Evidence:

No information found.

Scale Application in VA Populations:

Yes. (Ref: 4)

Scale Application in non-VA Populations:

Yes. (Ref: 1-3)

Comments


The Geriatric Depression Scale (GDS) was developed for rating depression in the elderly and has been extensively used with older adults. One strength of this measure is that it was designed specifically for use with older adults. Though the items were developed using input from clinicians and researchers, no theoretical model underlies the development of the scale. Test-retest reliability over a week was high and internal consistency was high in the development article. When used with patients that had generalized anxiety disorder, the internal consistency was lower. Substantial validity evidence has been presented for use of the GDS in various populations and for various purposes. Further work establishing the validity of the cut score is needed and caution should be taken when classifying patients according to a cut score. Researchers might want to create a confidence interval around the cut score and make classification decisions taking the unreliability of the cut score into account. Additionally, the cut score used should be chosen taking the consequences of the score use into account. For example, if patients above the cut score will receive medication that has negative side effects, a cut score that minimizes false positives might be chosen. In contrast, if patients above the cut score will qualify for inexpensive educational training, a cut score that minimizes false negatives might be chosen.