Andrea Burri
Auckland University of Technology, Faculty of Health and Environmental Sciences, Senior Research Fellow
Passionate about research
Phone: 004915257569456
Address: European Institute for Sexual Health (EISH)
Urologische Praxis Prof.Dr.med. Hartmut Porst
Neuer Jungfernstieg 6a
20354 Hamburg
Phone: 004915257569456
Address: European Institute for Sexual Health (EISH)
Urologische Praxis Prof.Dr.med. Hartmut Porst
Neuer Jungfernstieg 6a
20354 Hamburg
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Papers by Andrea Burri
Method: We assessed resilience in a cohort of former Swiss indentured child laborers (N D 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 selfefficacy; 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.
Method: We assessed resilience in a cohort of former Swiss indentured child laborers (N D 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 selfefficacy; 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.