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Longitudinal associations between late-life depression dimensions and cognitive functioning: a cross-domain latent growth curve analysis
- Source :
- Psychological Medicine, Brailean, A, Aartsen, M J, Muniz-Terrera, G, Prince, M, Prina, A M, Comijs, H, Huisman, M & Beekman, A 2017, ' Longitudinal associations between late-life depression dimensions and cognitive functioning: a cross-domain latent growth curve analysis ', Psychological Medicine, vol. 47, no. 4, pp. 690-702 . https://doi.org/10.1017/S003329171600297X, Psychological Medicine, 47(4), 690-702. Cambridge University Press, Brailean, A, Aartsen, M J, Muniz, G, Prince, M J, Prina, M, Comijs, H C, Huisman, M & Beekman, A T F 2016, ' Longitudinal associations between late-life depression dimensions and cognitive functioning : a cross-domain latent growth curve analysis ', Psychological Medicine, vol. 47, no. 4, pp. 1-13 . https://doi.org/10.1017/S003329171600297X, Brailean, A, Aartsen, M J, Muniz-Terrera, G, Prince, M, Prina, A M, Comijs, H C, Huisman, M & Beekman, A 2017, ' Longitudinal associations between late-life depression dimensions and cognitive functioning : A cross-domain latent growth curve analysis ', Psychological Medicine, vol. 47, no. 4, pp. 690-702 . https://doi.org/10.1017/S003329171600297X
- Publication Year :
- 2016
- Publisher :
- Cambridge University Press (CUP), 2016.
-
Abstract
- BackgroundCognitive impairment and depression often co-occur in older adults, but it is not clear whether depression is a risk factor for cognitive decline, a psychological reaction to cognitive decline, or whether changes in depressive symptoms correlate with changes in cognitive performance over time. The co-morbid manifestation of depression and cognitive impairment may reflect either a causal effect or a common cause, depending on the specific symptoms experienced and the cognitive functions affected.MethodThe study sample comprised 1506 community-dwelling older adults aged ⩾65 years from the Longitudinal Aging Study Amsterdam (LASA). We conducted cross-domain latent growth curve analyses to examine longitudinal associations between late-life depression dimensions (i.e. depressed affect, positive affect, and somatic symptoms) and specific domains of cognitive functioning (i.e. processing speed, inductive reasoning, immediate recall, and delayed recall).ResultsPoorer delayed recall performance at baseline predicted a steeper increase in depressed affect over time. Steeper decline in processing speed correlated with a steeper increase in somatic symptoms of depression over time.ConclusionsOur findings suggest a prospective association between memory function and depressed affect, whereby older adults may experience an increase in depressed affect in reaction to poor memory function. Somatic symptoms of depression increased concurrently with declining processing speed, which may reflect common neurodegenerative processes. Our findings do not support the hypothesis that depression symptoms may be a risk factor for cognitive decline in the general population. These findings have potential implications for the treatment of late-life depression and for the prognosis of cognitive outcomes.
- Subjects :
- Male
cognitive ageing
Aging
Population
Affect (psychology)
latent growth curve models
Developmental psychology
late-life depression
03 medical and health sciences
0302 clinical medicine
Humans
Cognitive Dysfunction
Longitudinal Studies
030212 general & internal medicine
Cognitive skill
Effects of sleep deprivation on cognitive performance
Cognitive decline
education
Applied Psychology
Depression (differential diagnoses)
Aged
Netherlands
Aged, 80 and over
Memory Disorders
education.field_of_study
Cognitive abilities
Depression
Cognition
Original Articles
Late life depression
Ageing
Psychiatry and Mental health
SDG 1 - No Poverty
depression symptom dimensions
Female
Psychology
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 14698978 and 00332917
- Volume :
- 47
- Database :
- OpenAIRE
- Journal :
- Psychological Medicine
- Accession number :
- edsair.doi.dedup.....66b7ea582144e827ce721da8fc3280bf