Assessment of late-life depression via self-report measures: a review

Michela Balsamo, Fedele Cataldi, Leonardo Carlucci, Caterina Padulo, Beth Fairfield Department of Psychological, Health and Territorial Sciences, School of Medicine and Health, University “G. d’Annunzio” of Chieti-Pescara, Italy Abstract: Depression in later life is a...

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Main Authors: Balsamo M, Cataldi F, Carlucci L, Padulo C, Fairfield B
Format: Article
Language:English
Published: Dove Medical Press 2018-10-01
Series:Clinical Interventions in Aging
Subjects:
Online Access:https://www.dovepress.com/assessment-of-late-life-depression-via-self-report-measures-a-review-peer-reviewed-article-CIA
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spelling doaj-2004610014804f939491daa2d8da6d3e2020-11-24T23:38:17ZengDove Medical PressClinical Interventions in Aging1178-19982018-10-01Volume 132021204441481Assessment of late-life depression via self-report measures: a reviewBalsamo MCataldi FCarlucci LPadulo CFairfield BMichela Balsamo, Fedele Cataldi, Leonardo Carlucci, Caterina Padulo, Beth Fairfield Department of Psychological, Health and Territorial Sciences, School of Medicine and Health, University “G. d’Annunzio” of Chieti-Pescara, Italy Abstract: Depression in later life is a significant and growing problem. Age-related differences in the type and severity of depressive disorders continue to be questioned and necessarily question differential methods of assessment and treatment strategies. A host of geropsychiatric measures have been developed for diagnostic purposes, for rating severity of depression, and monitoring treatment progress. This literature review includes the self-report depression measures commonly and currently used in geropsychological practice. Each of the included measures is considered according to its psychometric properties. In particular, information about reliability; convergent, divergent, and factorial validity evidence based on data from clinical and nonclinical samples of older adults; and availability of age-appropriate norms was provided along with the strengths and weaknesses of each measure. Results highlighted that in cognitively intact or mildly impaired patients over 65 years, the Geriatric Depression Scale and the Geriatric Depression Scale-15 currently seem to be the preferred instruments. The psychometric functioning of the Beck Depression Inventory-II and the Center for Epidemiological Studies Depression Scale, instead, is mixed in this population. Most importantly, this review may be a valuable resource for practicing clinicians and researchers who wish to develop state-of-the-science assessment strategies for clinical problems and make informed choices about which instruments best suit their purposes in older populations. Keywords: depression, older adults, self-report, psychometric functioning, assessment, aginghttps://www.dovepress.com/assessment-of-late-life-depression-via-self-report-measures-a-review-peer-reviewed-article-CIAdepressionelderlyself-reportpsychometric functioningassessmentaging
collection DOAJ
language English
format Article
sources DOAJ
author Balsamo M
Cataldi F
Carlucci L
Padulo C
Fairfield B
spellingShingle Balsamo M
Cataldi F
Carlucci L
Padulo C
Fairfield B
Assessment of late-life depression via self-report measures: a review
Clinical Interventions in Aging
depression
elderly
self-report
psychometric functioning
assessment
aging
author_facet Balsamo M
Cataldi F
Carlucci L
Padulo C
Fairfield B
author_sort Balsamo M
title Assessment of late-life depression via self-report measures: a review
title_short Assessment of late-life depression via self-report measures: a review
title_full Assessment of late-life depression via self-report measures: a review
title_fullStr Assessment of late-life depression via self-report measures: a review
title_full_unstemmed Assessment of late-life depression via self-report measures: a review
title_sort assessment of late-life depression via self-report measures: a review
publisher Dove Medical Press
series Clinical Interventions in Aging
issn 1178-1998
publishDate 2018-10-01
description Michela Balsamo, Fedele Cataldi, Leonardo Carlucci, Caterina Padulo, Beth Fairfield Department of Psychological, Health and Territorial Sciences, School of Medicine and Health, University “G. d’Annunzio” of Chieti-Pescara, Italy Abstract: Depression in later life is a significant and growing problem. Age-related differences in the type and severity of depressive disorders continue to be questioned and necessarily question differential methods of assessment and treatment strategies. A host of geropsychiatric measures have been developed for diagnostic purposes, for rating severity of depression, and monitoring treatment progress. This literature review includes the self-report depression measures commonly and currently used in geropsychological practice. Each of the included measures is considered according to its psychometric properties. In particular, information about reliability; convergent, divergent, and factorial validity evidence based on data from clinical and nonclinical samples of older adults; and availability of age-appropriate norms was provided along with the strengths and weaknesses of each measure. Results highlighted that in cognitively intact or mildly impaired patients over 65 years, the Geriatric Depression Scale and the Geriatric Depression Scale-15 currently seem to be the preferred instruments. The psychometric functioning of the Beck Depression Inventory-II and the Center for Epidemiological Studies Depression Scale, instead, is mixed in this population. Most importantly, this review may be a valuable resource for practicing clinicians and researchers who wish to develop state-of-the-science assessment strategies for clinical problems and make informed choices about which instruments best suit their purposes in older populations. Keywords: depression, older adults, self-report, psychometric functioning, assessment, aging
topic depression
elderly
self-report
psychometric functioning
assessment
aging
url https://www.dovepress.com/assessment-of-late-life-depression-via-self-report-measures-a-review-peer-reviewed-article-CIA
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