A formula for calculating 30-item Geriatric Depression Scale (GDS-30) scores from the 15-item version (GDS-15)

Yuge Zhang, Marco Hoozemans, Mirjam Pijnappels, Sjoerd M. Bruijn*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The Geriatric Depression Scale with 30 items (GDS-30) and with 15 items (GDS-15) are both valid tools for assessing depression in older adults, but their absolute values are not directly comparable. Here, we used a dataset (n = 431) with GDS-30 scores from a project concerning fall-risk assessment in older adults (FARAO) to develop and validate a formula which can be used to convert GDS-15 scores into GDS-30 scores. We found that the GDS-15 score cannot simply be multiplied by 2 to obtain the GDS-30 scores and that estimations of GDS-30 from GDS-15 are not affected by age, sex and MMSE. Therefore, the optimal formula to estimate the GDS-30 score from the GDS-15 score was: GDS-30_estimated = 1.57 + 1.95 × GDS-15. This formula yielded an estimate of GDS-30 with an explained variance of 79 %, compared to 63 % when GDS-15 was simply multiplied by 2. Researchers that have used the GDS-15 and want to compare their outcomes to other studies that reported only the GDS-30 are advised to use this formula.

Original languageEnglish
Article number112077
Pages (from-to)1-3
Number of pages3
JournalExperimental Gerontology
Volume172
Early online date29 Dec 2022
DOIs
Publication statusPublished - Feb 2023

Bibliographical note

Funding Information:
Many thanks to Kimberley van Schooten of Neuroscience Research Australia, University of New South Wales, and Roel Weijer of the Department of Neurology, Leiden University Medical Center, who collected the data. YZ was funded by the China Scholarship Council (CSC) (202009110145). MP and SMB were funded by a grant from the Dutch Organization for Scientific Research (NWO) (no. 91714344 and 016.Vidi.178.014, respectively).

Funding Information:
Many thanks to Kimberley van Schooten of Neuroscience Research Australia, University of New South Wales, and Roel Weijer of the Department of Neurology, Leiden University Medical Center, who collected the data. YZ was funded by the China Scholarship Council (CSC) (202009110145). MP and SMB were funded by a grant from the Dutch Organization for Scientific Research (NWO) (no. 91714344 and 016.Vidi.178.014 , respectively).

Publisher Copyright:
© 2022 The Authors

Funding

Many thanks to Kimberley van Schooten of Neuroscience Research Australia, University of New South Wales, and Roel Weijer of the Department of Neurology, Leiden University Medical Center, who collected the data. YZ was funded by the China Scholarship Council (CSC) (202009110145). MP and SMB were funded by a grant from the Dutch Organization for Scientific Research (NWO) (no. 91714344 and 016.Vidi.178.014, respectively). Many thanks to Kimberley van Schooten of Neuroscience Research Australia, University of New South Wales, and Roel Weijer of the Department of Neurology, Leiden University Medical Center, who collected the data. YZ was funded by the China Scholarship Council (CSC) (202009110145). MP and SMB were funded by a grant from the Dutch Organization for Scientific Research (NWO) (no. 91714344 and 016.Vidi.178.014 , respectively).

Keywords

  • Depression
  • GDS
  • Older adults

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