OBJECTIVES: Psychological resilience has been rarely investigated in elderly populations. We applied a more comprehensive model of trauma-specific coping and resilience, which included Ungar's context model and included decentral factors of resilience (i.e., environments that provide resources to build resilience). METHOD: We assessed resilience in a cohort of former Swiss indentured child laborers (N = 74; 59% males) at two time points; first at the mean age of 80 years and then again 20 months later. At each time point, the following measures of resilience were assessed: resilience indicators of life satisfaction and lack of depression. In addition, resilience predictors of trauma exposure, perceived social support, dysfunctional disclosure of traumatic experiences, social acknowledgment as a victim, and self-efficacy; and decentral resilience factors of education, income, number of children, and physical health were measured. RESULTS: Using path-analysis, we found that life satisfaction and lack of depression were predicted by dysfunctional disclosure, social support, and self-efficacy at various significance levels. Change scores of resilience were predicted by higher trauma exposure, social acknowledgment as a victim, and an interaction between the two. The model for decentral factors also fitted, with physical health and income predicting the resilience indicators. CONCLUSION: Applying this comprehensive resilience model in a sample of older adults revealed meaningful findings in predicting resilience at a single time point and over time. Atypical coping strategies, such as perceived social acknowledgment as a victim and disclosure, may be particularly important for former victims who have suffered institutional abuse.
OBJECTIVES: Psychological resilience has been rarely investigated in elderly populations. We applied a more comprehensive model of trauma-specific coping and resilience, which included Ungar's context model and included decentral factors of resilience (i.e., environments that provide resources to build resilience). METHOD: We assessed resilience in a cohort of former Swiss indentured child laborers (N = 74; 59% males) at two time points; first at the mean age of 80 years and then again 20 months later. At each time point, the following measures of resilience were assessed: resilience indicators of life satisfaction and lack of depression. In addition, resilience predictors of trauma exposure, perceived social support, dysfunctional disclosure of traumatic experiences, social acknowledgment as a victim, and self-efficacy; and decentral resilience factors of education, income, number of children, and physical health were measured. RESULTS: Using path-analysis, we found that life satisfaction and lack of depression were predicted by dysfunctional disclosure, social support, and self-efficacy at various significance levels. Change scores of resilience were predicted by higher trauma exposure, social acknowledgment as a victim, and an interaction between the two. The model for decentral factors also fitted, with physical health and income predicting the resilience indicators. CONCLUSION: Applying this comprehensive resilience model in a sample of older adults revealed meaningful findings in predicting resilience at a single time point and over time. Atypical coping strategies, such as perceived social acknowledgment as a victim and disclosure, may be particularly important for former victims who have suffered institutional abuse.
Authors: Zoya Marinova; Andreas Maercker; Andreas Küffer; Mark D Robinson; Tomasz K Wojdacz; Susanne Walitza; Edna Grünblatt; Andrea Burri Journal: BMC Med Genet Date: 2017-02-27 Impact factor: 2.103
Authors: Myriam V Thoma; Jan Höltge; Carla M Eising; Viviane Pfluger; Shauna L Rohner Journal: Front Behav Neurosci Date: 2020-11-17 Impact factor: 3.558
Authors: Allan K Nkwata; Ming Zhang; Xiao Song; Bruno Giordani; Amara E Ezeamama Journal: Int J Environ Res Public Health Date: 2021-02-02 Impact factor: 4.614
Authors: Marcin Rzeszutek; Maja Lis-Turlejska; Aleksandra Krajewska; Amelia Zawadzka; Michał Lewandowski; Szymon Szumiał Journal: Front Psychol Date: 2020-02-26