Literature DB >> 23760787

Trajectories of caregiver depressive symptoms while providing end-of-life care.

Siew Tzuh Tang1, Guan-Hua Huang, Yu-Chung Wei, Wen-Cheng Chang, Jen-Shi Chen, Wen-Chi Chou.   

Abstract

OBJECTIVE: The course of caregivers' depressive symptoms may not be homogenous. This study identified trajectories of depressive symptoms among caregivers providing end-of-life care to cancer patients and profiled the unique characteristics of caregivers within each trajectory.
METHODS: Trajectories of depressive symptoms were explored in 447 caregivers who completed the Center for Epidemiological Studies Depression Scale over four periods close to the patient's death (1-30, 31-90, 91-180, and >180 days). Distinct trajectories were identified by latent class analysis.
RESULTS: Four trajectories were identified as endurance, resilience, moderately symptomatic, and chronically distressed and contained 32.0%, 11.4%, 36.9%, and 19.7% of the sample, respectively. Caregivers in the endurance trajectory were relatively well-adjusted individuals with less education, adequate financial support, and ample psychological resources but provided care to older patients with greater symptom distress. They perceived less subjective caregiving burden than caregivers with moderate or chronic depressive symptoms. Caregivers in the resilience trajectory were in a more vulnerable position than those in other trajectories when they first transitioned into the caregiving role because they were more likely to be the patient's spouse, have greater educational attainment and insufficient finances, provide higher intensity assistance to a younger relative, and have weaker psychological resources. However, they were older, reported greater confidence in caregiving, and perceived less caregiving burden than caregivers in other trajectories. The moderately symptomatic and chronically distressed trajectories were differentiated only by the strength of psychological resources.
CONCLUSIONS: Caregivers of terminally ill cancer patients follow distinct depressive-symptom trajectories while providing end-of-life care.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  cancer; depressive symptoms trajectories; end-of-life care; family caregivers; latent class analysis; longitudinal study; oncology

Mesh:

Year:  2013        PMID: 23760787     DOI: 10.1002/pon.3334

Source DB:  PubMed          Journal:  Psychooncology        ISSN: 1057-9249            Impact factor:   3.894


  6 in total

1.  Trajectories and predictors of stress and depressive symptoms in spousal and intimate partner cancer caregivers.

Authors:  Qi Chen; Lauren Terhorst; David A Geller; Wallis Marsh; Michael Antoni; Mary Amanda Dew; Michelle Biala; Josh Weinstein; Allan Tsung; Jennifer Steel
Journal:  J Psychosoc Oncol       Date:  2020-05-05

2.  Depressive symptom trajectories in women affected by breast cancer and their male partners: a nationwide prospective cohort study.

Authors:  Nina Rottmann; Dorte Gilså Hansen; Mariët Hagedoorn; Pia Veldt Larsen; Anne Nicolaisen; Pernille Envold Bidstrup; Hanne Würtzen; Henrik Flyger; Niels Kroman; Christoffer Johansen
Journal:  J Cancer Surviv       Date:  2016-04-15       Impact factor: 4.442

3.  Family Relationships and Psychosocial Dysfunction Among Family Caregivers of Patients With Advanced Cancer.

Authors:  Kathrine G Nissen; Kelly Trevino; Theis Lange; Holly G Prigerson
Journal:  J Pain Symptom Manage       Date:  2016-08-09       Impact factor: 3.612

4.  Resilience in middle-aged partners of patients diagnosed with incurable cancer: A thematic analysis.

Authors:  Sophie Opsomer; Peter Pype; Emelien Lauwerier; Jan De Lepeleire
Journal:  PLoS One       Date:  2019-08-14       Impact factor: 3.240

5.  Modifiable factors of depressive-symptom trajectories from caregiving through bereavement.

Authors:  Fur-Hsing Wen; Wen-Chi Chou; Po-Jung Su; Ming-Mo Hou; Wen-Chi Shen; Mei Huang Hsu; Siew Tzuh Tang
Journal:  BMC Palliat Care       Date:  2022-09-07       Impact factor: 3.113

Review 6.  Operationalising resilience in longitudinal studies: a systematic review of methodological approaches.

Authors:  T D Cosco; A Kaushal; R Hardy; M Richards; D Kuh; M Stafford
Journal:  J Epidemiol Community Health       Date:  2016-08-08       Impact factor: 3.710

  6 in total

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