Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
50
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Longitudinal associations between late-life depression dimensions and cognitive functioning: a cross-domain latent growth curve analysis

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Cognitive 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.

          Method

          The 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).

          Results

          Poorer 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.

          Conclusions

          Our 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.

          Related collections

          Most cited references44

          • Record: found
          • Abstract: not found
          • Article: not found

          Why We (Usually) Don't Have to Worry About Multiple Comparisons

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Criterion validity of the Center for Epidemiologic Studies Depression scale (CES-D): results from a community-based sample of older subjects in The Netherlands.

            The Center for Epidemiologic Studies Depression scale (CES-D) has been widely used in studies of late-life depression. Psychometric properties are generally favourable, but data on the criterion validity of the CES-D in elderly community-based samples are lacking. In a sample of older (55-85 years) inhabitants of the Netherlands, 487 subjects were selected to study criterion validity of the CES-D. Using the 1-month prevalence of major depression derived from the Diagnostic Interview Schedule (DIS) as criterion, the weighted sensitivity of the CES-D was 100%; specificity 88%; and positive predictive value 13.2%. False positives were not more likely among elderly with physical illness, cognitive decline or anxiety. We conclude that the criterion validity of the CES-D for major depression was very satisfactory in this sample of older adults.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              The Center for Epidemiologic Studies Depression Scale: A Review with a Theoretical and Empirical Examination of Item Content and Factor Structure

              Background The Center for Epidemiologic Studies Depression Scale (CES-D; Radloff, 1977) is a commonly used freely available self-report measure of depressive symptoms. Despite its popularity, several recent investigations have called into question the robustness and suitability of the commonly used 4-factor 20-item CES-D model. The goal of the current study was to address these concerns by confirming the factorial validity of the CES-D. Methods and Findings Differential item functioning estimates were used to examine sex biases in item responses, and confirmatory factor analyses were used to assess prior CES-D factor structures and new models heeding current theoretical and empirical considerations. Data used for the analyses included undergraduate (n = 948; 74% women), community (n = 254; 71% women), rehabilitation (n = 522; 53% women), clinical (n = 84; 77% women), and National Health and Nutrition Examination Survey (NHANES; n = 2814; 56% women) samples. Differential item functioning identified an item as inflating CES-D scores in women. Comprehensive comparison of the several models supported a novel, psychometrically robust, and unbiased 3-factor 14-item solution, with factors (i.e., negative affect, anhedonia, and somatic symptoms) that are more in line with current diagnostic criteria for depression. Conclusions Researchers and practitioners may benefit from using the novel factor structure of the CES-D and from being cautious in interpreting results from the originally proposed scale. Comprehensive results, implications, and future research directions are discussed.
                Bookmark

                Author and article information

                Journal
                Psychol Med
                Psychol Med
                PSM
                Psychological Medicine
                Cambridge University Press (Cambridge, UK )
                0033-2917
                1469-8978
                March 2017
                11 November 2016
                : 47
                : 4
                : 690-702
                Affiliations
                [1 ]Department of Health Service and Population Research, King's College London, Institute of Psychiatry, Psychology and Neuroscience, Centre for Global Mental Health , London, UK
                [2 ]NOVA - Norwegian Social Research, Center for Welfare and Labor Research , Oslo, Norway
                [3 ]Centre for Dementia Prevention, University of Edinburgh , UK
                [4 ]VU University Medical Centre, Department of Psychiatry and the EMGO Institute for Health and Care Research, Amsterdam, The Netherlands
                [5 ]VU University Medical Center, Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, Amsterdam, The Netherlands
                [6 ]Department of Sociology, VU University , Amsterdam, The Netherlands
                [7 ]VU University Medical Centre, Department of Psychiatry and the EMGO Institute for Health and Care Research, Amsterdam, The Netherlands
                Author notes
                [* ]Address for correspondence: Ms A. Brailean, King's College London, Institute of Psychiatry, Psychology and Neuroscience, David Goldberg Centre , De Crespigny Park, London SE5 8AF, UK. (Email: brailean.anamaria@ 123456gmail.com )
                Article
                S003329171600297X 00297
                10.1017/S003329171600297X
                5426346
                27834162
                e726461f-fec9-4b6e-90e8-dfbf048d9ae4
                © Cambridge University Press 2016

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 04 May 2016
                : 16 October 2016
                : 17 October 2016
                Page count
                Figures: 2, Tables: 3, References: 69, Pages: 13
                Categories
                Original Articles

                Clinical Psychology & Psychiatry
                cognitive abilities,cognitive ageing,depression symptom dimensions,late-life depression,latent growth curve models

                Comments

                Comment on this article