dc.contributor.author Hodgetts, S en dc.contributor.author Gallagher, P en dc.contributor.author Stow, D en dc.contributor.author Ferrier, IN en dc.contributor.author O'Brien, John en dc.date.accessioned 2017-02-09T16:32:46Z dc.date.available 2017-02-09T16:32:46Z dc.date.issued 2017-03-01 en dc.identifier.issn 0885-6230 dc.identifier.uri https://www.repository.cam.ac.uk/handle/1810/262427 dc.description.abstract $\textbf{OBJECTIVE}$: Depression is known to negatively impact social functioning, with patients commonly reporting difficulties maintaining social relationships. Moreover, a large body of evidence suggests poor social functioning is not only present in depression but that social functioning is an important factor in illness course and outcome. In addition, good social relationships can play a protective role against the onset of depressive symptoms, particularly in late-life depression. However, the majority of research in this area has employed self-report measures of social function. This approach is problematic, as due to their reliance on memory, such measures are prone to error from the neurocognitive impairments of depression, as well as mood-congruent biases. $\textbf{METHOD}$: Narrative review based on searches of the Web of Science and PubMed database(s) from the start of the databases, until the end of 2015. $\textbf{RESULTS}$: The present review provides an overview of the literature on social functioning in (late-life) depression and discusses the potential for new technologies to improve the measurement of social function in depressed older adults. In particular, the use of wearable technology to collect direct, objective measures of social activity, such as physical activity and speech, is considered. $\textbf{CONCLUSION}$: In order to develop a greater understanding of social functioning in late-life depression, future research should include the development and validation of more direct, objective measures in conjunction with subjective self-report measures. dc.description.sponsorship This study was funded by an award from the UK Medical Research Council (G1001828/1). JTO'B is supported by the NIHR Biomedical Research Centre and Biomedical Research Unit in Dementia awarded to Cambridge University Hospitals NHS Trust and the University of Cambridge and the study was supported by the NIHR Biomedical Research Centre awarded to Newcastle upon Tyne Hospitals NHS Trust and Newcastle University. P. G., I. N. F. and D. S. received Research Capability Funding from the Northumberland, Tyne and Wear NHS Foundation Trust, which also supported this project. Part of this work has been funded by the RCUK Digital Economy Research Hub on Social Inclusion through the Digital Economy (SiDE) [EP/G066019/1]. dc.language eng en dc.language.iso en en dc.publisher Wiley dc.subject late-life depression en dc.subject self-report en dc.subject social function en dc.subject wearable technology en dc.title The impact and measurement of social dysfunction in late-life depression: an evaluation of current methods with a focus on wearable technology en dc.type Article prism.endingPage 255 prism.issueIdentifier 3 en prism.publicationDate 2017 en prism.publicationName International Journal of Geriatric Psychiatry en prism.startingPage 247 prism.volume 32 en dc.identifier.doi 10.17863/CAM.7691 dcterms.dateAccepted 2016-10-26 en rioxxterms.versionofrecord 10.1002/gps.4632 en rioxxterms.version AM en rioxxterms.licenseref.uri http://www.rioxx.net/licenses/all-rights-reserved en rioxxterms.licenseref.startdate 2017-03-01 en dc.contributor.orcid O'Brien, John [0000-0002-0837-5080] dc.identifier.eissn 1099-1166 rioxxterms.type Journal Article/Review en cam.issuedOnline 2016-12-02 en rioxxterms.freetoread.startdate 2017-12-02
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