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Record W4413428388 · doi:10.3390/curroncol32090475

Factors Associated with Quality of Life (QoL) in Adolescents and Young Adults with Cancer

2025· article· en· W4413428388 on OpenAlexaffvenueabout
Geoff Eaton, Pam Crotty, Cheryl Heykoop, Norma Mammone D’Agostino, Sapna Oberoi, Joshua A. Rash, Sheila N. Garland

Bibliographic record

VenueCurrent Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsCancerCare ManitobaUniversity of ManitobaPrincess Margaret Cancer CentreRoyal Roads UniversityUniversity Health NetworkCanadian Cancer SocietyBeatrice Hunter Cancer Research InstituteMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineQuality of life (healthcare)CancerGerontologyInternal medicineNursing

Abstract

fetched live from OpenAlex

Adolescents and young adults (AYAs) diagnosed with cancer between the ages of 15 and 39 years face unique challenges that impact their long-term quality of life (QoL). Physical functioning, relationship status, social support, anxiety, and depression have been associated with QoL in AYAs with cancer. This study explored factors associated with increased QoL in a sample of 392 AYAs with cancer in Canada who participated in the initial Young Adult Cancer Canada RECOVER survey. The EORTC QLQ-C30 was used to measure QoL. Adjusting for relevant demographic, cancer, and clinical variables, the only factors significantly associated with QoL in multivariable analysis were symptoms of depression [Mild (β = −0.420, p < 0.001); Moderate (β = −0.937, p < 0.001); Moderately Severe (β = −1.188, p < 0.001); Severe (β = −2.182, p < 0.001)] and generalized anxiety [Mild (β = −0.244, p = 0.012); Moderate (β = −0.420, p = 0.002); Moderately severe (β = −0.400, p = 0.012); Severe (β = −0.697, p = 0.010)], as well as having completed treatment (β = −0.347, p < 0.001). Age, gender, time since diagnosis, having children, education, income, fear of recurrence, and social support were not significantly associated with QoL. These results support the need for age-appropriate resources to help AYAs manage the long-term psychological impacts of cancer.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.067
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.329
GPT teacher head0.515
Teacher spread0.187 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2025
Admission routes3
Has abstractyes

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