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      Trajectories of complicated grief

      research-article
      1
      The European Journal of Psychiatry
      Universidad de Zaragoza
      Complicated grief, Depression, Trajectory, Bereavement, Classification

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          Abstract

          Background and Objectives: In the discussion of apparent similarities between symptoms of grief and depression, research and theory have often confounded these two constructs because, as a construct, grief is distinct from depression and because these two constructs may have distinct trajectories. This study examines the trajectories of complicated grief and associated risks and the relationship between trajectories of complicated grief and depression. Design: Longitudinal. Setting: Intervention methods for enhancing family caregiving for persons with dementia. Participants: A total of 221 participants of the Resources for Enhancing Alzheimer’s Caregiver Health project. Measurement: The Inventory of Complicated Grief. Results: The results based on group-based mixture modeling identify two distinct trajectories of grief (persistently high and low) and three distinct trajectories of depression (persistently high, moderate, and low). There were significant differences between the proportion of grief trajectory membership and that of depression trajectory membership, indicating distinct patterns over time. Conclusions: Noteworthy is the significant difference between the proportion of grief trajectory membership and that of depression trajectory membership, indicating differences in distinct patterns over time.

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          Most cited references30

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          Resilience to loss and chronic grief: a prospective study from preloss to 18-months postloss.

          The vast majority of bereavement research is conducted after a loss has occurred. Thus, knowledge of the divergent trajectories of grieving or their antecedent predictors is lacking. This study gathered prospective data on 205 individuals several years prior to the death of their spouse and at 6- and 18-months postloss. Five core bereavement patterns were identified: common grief, chronic grief, chronic depression, improvement during bereavement, and resilience. Common grief was relatively infrequent, and the resilient pattern most frequent. The authors tested key hypotheses in the literature pertaining to chronic grief and resilience by identifying the preloss predictors of each pattern. Chronic grief was associated with preloss dependency and resilience with preloss acceptance of death and belief in a just world.
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            Beyond normality in the study of bereavement: heterogeneity in depression outcomes following loss in older adults.

            Studies of individual differences in bereavement have revealed prototypical patterns of outcome. However, many of these studies were conducted prior to the advent of sophisticated contemporary data analytic techniques. For example, Bonanno et al. (2002) used rudimentary categorization procedures to identify unique trajectories of depression symptomatology from approximately 3 years prior to 4 years following conjugal loss in a representative sample of older American adults. In the current study, we revisited these same data using Latent Class Growth Analysis (LCGA) to derive trajectories and test predictors. LCGA is a technique well-suited for modeling empirically- and conceptually-derived heterogeneous longitudinal patterns while simultaneously modeling predictors of those longitudinal patterns. We uncovered four discrete trajectories similar in shape and proportion to the previous analyses: Resilience (characterized by little or no depression; 66.3%), Chronic Grief (characterized by depression following loss, alleviated by 4 years post-loss; 9.1%), _Pre-existing Chronic Depression (ongoing high pre- through post-loss depression; 14.5%), and Depressed-Improved (characterized by high pre-loss depression that decreases following loss; 10.1%). Using this analytic strategy, we were able to examine multiple hypotheses about bereavement simultaneously. Health, financial stress, and emotional stability emerged as strong predictors of variability in depression only for some trajectories, indicating that depression levels do not have a common etiology across all the bereaved. As such, we find that identifying distinct patterns informs both the course and etiology of depression in response to bereavement. Copyright © 2012 Elsevier Ltd. All rights reserved.
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              Complicated grief, depression, and anxiety as distinct postloss syndromes: a confirmatory factor analysis study.

              The authors used confirmatory factor analysis to replicate earlier findings that complicated grief, depression, and anxiety are distinct syndromes. Data were derived from 1,321 bereaved individuals. Complicated grief was measured with the Inventory of Traumatic Grief. Depression and anxiety were measured with the SCL-90. A model in which symptoms of complicated grief, depression, and anxiety loaded on separate factors was superior to a one-factor model, revealed good model fit, and was invariant across subgroups. Previous findings of a distinction among complicated grief, depression, and anxiety were confirmed.
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                Author and article information

                Contributors
                Role: ND
                Journal
                ejpen
                The European Journal of Psychiatry
                Eur. J. Psychiat.
                Universidad de Zaragoza (Zaragoza )
                0213-6163
                September 2015
                : 29
                : 3
                : 173-182
                Affiliations
                [1 ] Hallym University South Korea
                Article
                S0213-61632015000300002
                10.4321/S0213-61632015000300002
                b7e3bcde-66b3-4d3a-b1d4-d28e5eb90916

                http://creativecommons.org/licenses/by/4.0/

                History
                Categories
                PSYCHIATRY

                Clinical Psychology & Psychiatry
                Complicated grief,Depression,Trajectory,Bereavement,Classification

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