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Age differences in perceived social support by paediatric haematopoietic progenitor cell transplant patients: a longitudinal study

2007· article· en· W2054851041 on OpenAlexaff
Maru Barrera, Gail Andrews, David Burnes, Eshetu G. Atenafu

Bibliographic record

VenueChild Care Health and Development · 2007
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsSocial supportNormativePsychologyPopulationExploratory researchMedicineDevelopmental psychologyClinical psychologyDemographySocial psychologyEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVES: To describe longitudinally different sources of perceived social support by children and adolescents who undergo haematopoietic progenitor cell transplant (HPCT). METHODS: Thirty-six (20 males, 16 females) survivors of paediatric HPCT, aged 8-18 years (Mean = 11.73), were assessed pre-HPCT and 6 months, 1 year and 2 years post-HPCT. Survivors were compared with siblings (n = 22) during the last assessment. The Social Support Scale for Children (SSSC), a self-report measure, provided scores on perceived social support from parents, teachers, friends and classmates. RESULTS: Throughout the 2 years post-HPCT, perceived social support from all sources was generally higher for survivors than for population norms. Over time, both children and adolescents reported higher social support from parents than the normative values. Over time, children perceived higher support from teachers than did adolescents, whereas adolescents' perceived social support from classmates increased but children's decreased. Survivors and siblings did not differ significantly in their perceived social support 2 years post-BMT. CONCLUSIONS: This exploratory study suggests that perceived parental support is equally important for children and adolescents but classmate and teacher social support varies with age. These developmental differences have important clinical implications for the care of these patients.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score1.000

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 integrity0.0000.000
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 head0.028
GPT teacher head0.303
Teacher spread0.274 · 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.

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

Citations20
Published2007
Admission routes1
Has abstractyes

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