The association between gait speed and depressive disorders: A cross-sectional analysis of very old adults in the 21st centuryShow others and affiliations
2025 (English)In: Aging & Mental Health, ISSN 1360-7863, E-ISSN 1364-6915, Vol. 29, no 5, p. 806-813Article in journal (Refereed) Published
Abstract [en]
Objectives: To investigate the association between gait speed and depressive disorders among very old adults (≥85 years).
Method: This study utilized the GERDA-database, which encompasses a representative sample of those aged 85, 90, and 95+ years residing in northern Sweden and western Finland. From four data collections between 2000 and 2017, this study included 1794 participants. Self-paced gait speed was measured over 2.4-m and depressive disorders was evaluated by a specialist in geriatric medicine according to the DSM-IV-TR criteria. T-tests and multivariable logistic regressions were used to explore differences and associations between gait speed and depressive disorders.
Results: Gait speed was independently associated with depressive disorders among very old adults (p <.001). The results showed significantly different mean gait speeds (m/s) between individuals with/without a depressive disorder (0.34 ± 0.24/0.52 ± 0.26, p <.001), between individuals with a depressive disorder with/without antidepressant treatment (0.35 ± 0.24/0.44 ± 0.24, p <.001) and between non-responders/responders to antidepressants (0.36 ± 0.21/0.42 ± 0.22, p =.020).
Conclusion: This is the first study focusing on very old adults that has shown an independent association between gait speed and depressive disorders. Responders to antidepressant medication had a higher mean gait speed than non-responders, which may imply shifts in function upon successful treatment.
Place, publisher, year, edition, pages
Routledge, 2025. Vol. 29, no 5, p. 806-813
Keywords [en]
antidepressants, depressive disorders, Gait speed, oldest old
National Category
Geriatrics
Identifiers
URN: urn:nbn:se:umu:diva-233324DOI: 10.1080/13607863.2024.2436479ISI: 001374443900001PubMedID: 39648653Scopus ID: 2-s2.0-85211210948OAI: oai:DiVA.org:umu-233324DiVA, id: diva2:1924086
Funder
Swedish Research Council, K2014–99X-22610–01–6Umeå UniversityVästerbotten County Council2025-01-022025-01-022025-07-11Bibliographically approved