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Record W2134825662 · doi:10.1123/pes.15.2.191

Self-Perceptions of Physical Activity in Survivors of Acute Lymphoblastic Leukemia in Childhood

2003· article· en· W2134825662 on OpenAlexfundno aff
Marilyn Wright, Victoria Galea, Ronald D. Barr

Bibliographic record

VenuePediatric Exercise Science · 2003
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsnot available
FundersNational Institutes of HealthHamilton Health Sciences
KeywordsMedicineQuality of life (healthcare)Physical activityBody mass indexLymphoblastic LeukemiaCognitionPerceptionPhysical therapyGerontologyClinical psychologyPsychologyLeukemiaInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Participation in physical activity has important beneficial effects on physical and psychological health. Many outcomes associated with physical activity are typically compromised in survivors of childhood cancer. The purpose of this study was to describe self-perceptions of physical activity in survivors of acute lymphoblastic leukemia (ALL) and to explore the relationships of these findings with quality of life measures and clinical descriptors. 62 children and adolescents treated previously for ALL and 71 comparable healthy subjects completed the Children’s Self-perceptions of Adequacy in and Predilection for Physical Activity (CSAPPA) scale and the Health Utilities Index (HUI). The ALL subjects had significantly poorer self-perceptions of their adequacy in and predilection for physical activity than the comparison group. Stepwise regression analyses identified high risk for relapse, female gender, and older age, but not body-mass-index, age, age at diagnosis, length of time off therapy, or cranial irradiation as significant predictors of CSAPPA total scores in the ALL group. HUI overall scores and single attribute scores for emotion, cognition and pain had significant positive correlations with various CSAPPA scores. Results suggest that survivors of ALL are less inclined to participate in physical activity and physical activity scores are related to quality of life scores. Long-term follow-up should include education and programming to promote participation in physical activity.

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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.285
Teacher spread0.275 · 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

Citations32
Published2003
Admission routes1
Has abstractyes

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