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Record W2159233333 · doi:10.1177/1043454212439472

Posttraumatic Growth, Coping Strategies, and Psychological Distress in Adolescent Survivors of Cancer

2012· article· en· W2159233333 on OpenAlexaff
Andrea M. Turner-Sack, Rosanne Menna, Sarah R. Setchell

Bibliographic record

VenueJournal of Pediatric Oncology Nursing · 2012
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of Windsor
FundersNational Cancer Institute
KeywordsPosttraumatic growthCoping (psychology)DistressClinical psychologyPsychologyPsychological distressEmotional distressCoping behaviorPsychiatryMental healthAnxiety

Abstract

fetched live from OpenAlex

Only recently have researchers begun to empirically examine positive outcomes such as posttraumatic growth in adolescent cancer. This article examines associations between posttraumatic growth, coping strategies, and psychological distress in adolescent cancer survivors. Adolescents who finished cancer treatment 2 to 10 years prior (N = 31) completed self-report measures of posttraumatic growth, coping, symptomatology, and disease-related characteristics. Younger age at diagnosis and less use of avoidant coping strategies predicted lower levels of psychological distress. Adolescents' beliefs that they were more likely to relapse and the use of more acceptance coping strategies predicted higher levels of posttraumatic growth. Adolescent cancer survivors may be capable of experiencing posttraumatic growth. Those who believe they are more prone to relapse and use more acceptance coping strategies are likely to have higher levels of posttraumatic growth. As health care professionals encourage adolescent cancer survivors to use fewer avoidant coping strategies, they can also encourage survivors to use more acceptance coping strategies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.081
GPT teacher head0.423
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations92
Published2012
Admission routes1
Has abstractyes

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