Memory Deficits Precede Increases in Depressive Symptoms in Later Adulthood
- PMID: 29385518
- PMCID: PMC7359446
- DOI: 10.1093/geronb/gbx183
Memory Deficits Precede Increases in Depressive Symptoms in Later Adulthood
Abstract
Objectives: We examined bidirectional, time-ordered associations between age-related changes in depressive symptoms and memory.
Method: Data came from 107,599 community-dwelling adults, aged 49-90 years, who participated in the Survey of Health, Ageing, and Retirement in Europe (SHARE). Depressive symptoms were measured with the EURO-D inventory, and memory was evaluated as delayed recall of a 10-word list. Participants were assessed up to five times at 2-year intervals. Dynamic structural equation models were used to estimate longitudinal and time-ordered (lead-lag) relations between depressive symptoms and memory performance.
Results: Depressive symptoms increased and memory scores decreased across the observed age range, with worsening mostly evident after age 62 years. These long-term changes were moderately negatively correlated (r = -.53, p < .001). A time-ordered effect emerged such that age-specific memory deficits preceded shorter-term increases in depression symptoms. This effect can be translated such that each 1-point decrement on a 10-point memory scale at a given age predicted a 14.5% increased risk for depression two years later. Statistical adjustment for covariates (sex, education, re-test, smoking, and body mass index) had little influence on these associations.
Conclusion: In later adulthood, lower memory performance at a given age predicts subsequent 2-year increases in depressive symptoms.
Keywords: Bi-directional; Depression; Longitudinal change; Memory.
© The Author(s) 2018. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Figures
References
-
- Alexopoulos G. S., Buckwalter K., Olin J., Martinez R., Wainscott C., & Krishnan K. R (2002). Comorbidity of late life depression: An opportunity for research on mechanisms and treatment. Biological Psychiatry, 52, 543–558. doi:10.1016/S0006-3223(02)01468-3 - PubMed
-
- Bates D., Maechler M., Bolker B., & Walker S (2014). lme4: Linear mixed-effects models using Eigen and S4. R package version 1.1–7 Retrieved from http://CRAN.R-project.org/package=lme4.
-
- Bennett S., & Thomas A. J (2014). Depression and dementia: Cause, consequence or coincidence?Maturitas, 79, 184–190. doi:10.1016/j.maturitas.2014.05.009 - PubMed
-
- Börsch-Supan A., Brandt M., Hunkler C., Kneip T., Korbmacher J., Malter F., Schaan B ... Zuber S., on behalf of the SHARE Central Coordination Team. (2013). Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology, 42, 992–1001. doi:10.1093/ije/dyt088 - PMC - PubMed
-
- Börsch-Supan A., Brugiavini A., Jürges H., Kapteyn A., Mackenbach J., Siegrist, & Weber G (Eds.). (2008). First results from the Survey of Health, Ageing and Retirement in Europe (2004–2007). Starting the longitudinal dimension. Mannheim: Mannheim Research Institute for the Economics of Aging (MEA).
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
