Causal associations between depression symptoms and cognition in a community-based cohort of older adults

Simple item page
dc.contributor.authorBunce, David
dc.contributor.authorBatterham, Philip
dc.contributor.authorChristensen, Helen
dc.contributor.authorMackinnon, Andrew J.
dc.date.accessioned2015-09-08T02:41:13Z
dc.date.available2015-09-08T02:41:13Z
dc.date.issued2014-12
dc.description.abstractOBJECTIVE To evaluate the temporal association between depression symptoms and cognitive function in older adults over a 4-year period. METHODS Using a longitudinal, cross-lagged, population-based design, we studied depression symptoms and cognitive domains (including processing speed, verbal fluency, face and word recognition, episodic memory, and simple and choice reaction time) in 896 community-dwelling adults aged 70-97 years. RESULTS Cross-lagged structural equation models suggested that initial depression symptoms affected subsequent processing speed and simple and choice reaction time but that cognition did not predict depression symptoms over time. The associations between depression and cognitive variables were attenuated when the models were adjusted for sensory impairment, physical health, and locus of control. CONCLUSION The findings suggest that, causally, depression precedes cognitive impairment in this age group and that the association is related to physical health and perceptions of a lack of control.en_AU
dc.description.sponsorshipThe Canberra Longitudinal Study was supported by the Australian National Health and Medical Research Council (NHMRC) Unit Grants 973301 and 933301 and NHMRC Program Grant 179805. Dr. Batterham was supported by NHMRC Early Career Fellowship 1035262. Dr. Christensen was supported by NHMRC Senior Principal Research Fellowship 525411.en_AU
dc.identifier.issn1064-7481en_AU
dc.identifier.urihttp://hdl.handle.net/1885/15254
dc.provenancehttp://www.sherpa.ac.uk/romeo/issn/1064-7481/..."Authors pre-print on any website, including arXiv and RePEC" from SHERPA/RoMEO site (as at 8/09/15).
dc.publisherElsevieren_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/973301en_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/933301en_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/179805en_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/1035262en_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/525411en_AU
dc.rights© 2014 American Association for Geriatric Psychiatry.en_AU
dc.sourceThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatryen_AU
dc.subjectdepressionen_AU
dc.subjectcognitionen_AU
dc.subjectold ageen_AU
dc.subjectphysical healthen_AU
dc.subjectreaction timeen_AU
dc.subjectageden_AU
dc.subjectaged, 80 and overen_AU
dc.subjectagingen_AU
dc.subjectaustraliaen_AU
dc.subjectcognition disordersen_AU
dc.subjectcomorbidityen_AU
dc.subjectfemaleen_AU
dc.subjecthealth statusen_AU
dc.subjecthumansen_AU
dc.subjectinternal-external controlen_AU
dc.subjectlongitudinal studiesen_AU
dc.subjectmaleen_AU
dc.subjectsensation disordersen_AU
dc.titleCausal associations between depression symptoms and cognition in a community-based cohort of older adultsen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue12en_AU
local.bibliographicCitation.lastpage1591en_AU
local.bibliographicCitation.startpage1583en_AU
local.contributor.affiliationBatterham, P. J., Centre for Mental Health Research, The Australian National Universityen_AU
local.contributor.authoremailphilip.batterham@anu.edu.auen_AU
local.contributor.authoruidu4435982en_AU
local.identifier.citationvolume22en_AU
local.identifier.doi10.1016/j.jagp.2014.01.004en_AU
local.identifier.essn1545-7214en_AU
local.identifier.uidSubmittedByu1005913en_AU
local.publisher.urlhttp://www.elsevier.com/en_AU
local.type.statusSubmitted Versionen_AU

Downloads

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Bunce et al Causal Associations Between Depression Symptoms 2015.pdf
Size:
188.6 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
884 B
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2024 LYRASIS