Trajectories of depression predict patterns of resilience following loss and potentially traumatic events

A key conceptual issue in the resilience literature centers on whether the presence of resilience in one domain corresponds to positive adaptation in other areas. The present studies investigated whether an individual's likelihood of demonstrating resilience in their trajectory of depressive symptoms would be associated with positive adjustment in psychological, functional, and health-related domains following exposure to spinal cord injury, bereavement, and heart attack. In each study, we utilized growth mixture and robust linear mixed-effects modeling to examine the associations between depression-based trajectories and multiple domains of positive adjustment. Results from all three studies indicated that, on average, individuals who exhibited trajectories of resilience in relation to depressive symptoms concurrently experienced better quality of life, perceived manageability, self-esteem, cognition, and body mass index (BMI). Further, a higher probability of belonging to the resilient trajectory class was linked to higher quality of life, B = 33.78, 95% CI [24.31, 42.91]; perceived manageability, B = 3.44, 95% CI [1.54, 5.21]; cognitive functioning, B = 2.30, 95% CI [1.32, 3.27]; and healthier BMI, B = -1.02, 95% CI [-1.89, -0.17]. Together, these findings illustrate that it is possible to utilize symptoms of depression to predict patterns of resilience across several clinically meaningful domains.

Authors

Institutions

Publication Details

Journal
Journal of Traumatic Stress
Published
2025-03-17
DOI
https://doi.org/10.1002/jts.23140
Citations
2
Primary Topic
Resilience and Mental Health
Type
article
Field-Weighted Citation Impact
4.61

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trajectories of depression predict patterns of resilience following loss and potentially traumatic events

Kan Long, George A. Bonanno, Isaac R. Galatzer‐Levy
2 citations
Journal of Traumatic Stress
Resilience and Mental Health
4.61
article

Trajectories of depression predict patterns of resilience following loss and potentially traumatic events

Kan Long, George A. Bonanno, Isaac R. Galatzer‐Levy
article en
2 citations

Abstract

A key conceptual issue in the resilience literature centers on whether the presence of resilience in one domain corresponds to positive adaptation in other areas. The present studies investigated whether an individual's likelihood of demonstrating resilience in their trajectory of depressive symptoms would be associated with positive adjustment in psychological, functional, and health-related domains following exposure to spinal cord injury, bereavement, and heart attack. In each study, we utilized growth mixture and robust linear mixed-effects modeling to examine the associations between depression-based trajectories and multiple domains of positive adjustment. Results from all three studies indicated that, on average, individuals who exhibited trajectories of resilience in relation to depressive symptoms concurrently experienced better quality of life, perceived manageability, self-esteem, cognition, and body mass index (BMI). Further, a higher probability of belonging to the resilient trajectory class was linked to higher quality of life, B = 33.78, 95% CI [24.31, 42.91]; perceived manageability, B = 3.44, 95% CI [1.54, 5.21]; cognitive functioning, B = 2.30, 95% CI [1.32, 3.27]; and healthier BMI, B = -1.02, 95% CI [-1.89, -0.17]. Together, these findings illustrate that it is possible to utilize symptoms of depression to predict patterns of resilience across several clinically meaningful domains.

Journal of Traumatic StressVol. 38(3)
NewYork–Presbyterian Hospital (US), Columbia University Irving Medical Center (US), New York Hospital Queens (US), New York University (US), Columbia University (US)
National Institutes of Health, National Institute of Mental Health
Openalex Percentile: Top 7%
Resilience and Mental Health
4.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Trajectories of depression predict patterns of resilience following loss and potentially traumatic events — Kan Long, George A. Bonanno, et al. · Journal of Traumatic Stress (2025) | TGRS Research Map | TGRS