The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Positive change following trauma and adversity: A review
Abstract
Empirical studies ( n = 39) that documented positive change following trauma and adversity (e.g., posttraumatic growth, stress‐related growth, perceived benefit, thriving; collectively described as adversarial growth) were reviewed. The review indicated that cognitive appraisal variables (threat, harm, and controllability), problem‐focused, acceptance and positive reinterpretation coping, optimism, religion, cognitive processing, and positive affect were consistently associated with adversarial growth. The review revealed inconsistent associations between adversarial growth, sociodemographic variables (gender, age, education, and income), and psychological distress variables (e.g., depression, anxiety, posttraumatic stress disorder). However, the evidence showed that people who reported and maintained adversarial growth over time were less distressed subsequently. Methodological limitations and recommended future directions in adversarial growth research are discussed, and the implications of adversarial growth for clinical practice are briefly considered.
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“고통 지각이 클수록 외상 후 성장에 정적 영향을 주게 되므로[11, 18]”
From A Structural Equation Model of Factors Influencing Posttraumatic Growth of Earthquake Victims (2019) · cites this paper as [18]
In the citing paper
“Since trauma exposure maybe a confounding risk factor of PTSD and PTG (Linley and Joseph, 2004), which is also supported by the result of bivariate correlation in this study, we added earthquake exposure as an observed variable in our model.”
From Coexistence and different determinants of posttraumatic stress disorder and posttraumatic growth among Chinese survivors after earthquake: role of resilience and rumination (2015) · cites this paper as Linley and Joseph, 2004
In the citing paper
“PTG stems from the use of social coping resources and cognitive coping strategies to both make sense of one's experience and restructure an effective and meaningful view of the world [125,126].”
From An Appreciative View of the Brighter Side of Terror Management Processes (2015) · cites this paper as [126]
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Metadata
- Authors
- Linley, P. A., & Joseph, S.
- Affiliations
- University of Warwick (GB)
- Corresponding author
- Linley, P. Alex
- ORCID
- Joseph, Stephen
- Venue
- Journal of Traumatic Stress
- Publisher
- Wiley
- Published
- 2004-02
- Volume
- 17
- Issue
- 1
- Pages
- 11-21
- ISSN
- 0894-9867 (ISSN-L)
- 1573-6598
- OpenAlex
- W1997405750
- Semantic Scholar
- bf3d0c6f34f2dd266406625b4bc6ddbb483be513
- Cited by
- 2,260
- References
- 60
- Citations by year
- 2026: 47 · 2025: 97 · 2024: 84 · 2023: 139 · 2022: 120 · 2021: 104 · 2020: 119 · 2019: 94 · 2018: 95 · 2017: 133 · 2016: 135 · 2015: 126 · 2014: 129 · 2013: 135 · 2012: 124
- FWCI
- 9.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Traumatic Stress (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Warwick
- Topics
- Social Sciences › Psychology › Clinical Psychology › Posttraumatic Stress Disorder Research
- Social Sciences › Psychology › Clinical Psychology › Resilience and Mental Health
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Keywords
- adversarial growth, posttraumatic growth, stress-related growth, perceived benefits, thriving, trauma, adversity, cognitive appraisal, threat appraisal, controllability, problem-focused coping, acceptance and commitment therapy, positive reappraisal, optimism, positive affect, psychological distress, depression, anxiety, post-traumatic stress disorder, sociodemographic factors, clinical practice
- MeSH terms
- Adaptation, Psychological, Attitude, Depression, Humans, Problem Solving, Psychology, Religion and Psychology, Social Support, Stress Disorders, Post-Traumatic, Time Factors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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