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Record W2089267133 · doi:10.1002/cncr.22101

Sexual health and self-esteem in adolescents and young adults with cancer

2006· review· en· W2089267133 on OpenAlexaff
Elana Evan, Miriam Kaufman, Andrew B. Cook, Lonnie K. Zeltzer

Bibliographic record

VenueCancer · 2006
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsHospital for Sick ChildrenSickKids FoundationUniversity of Toronto
Fundersnot available
KeywordsHuman sexualitySelf-esteemYoung adultMedicineCoping (psychology)Interpersonal relationshipSelf-conceptCancerReproductive healthDevelopmental psychologyClinical psychologyAdolescent healthPsychologyGerontologyPopulationSocial psychologyPathology

Abstract

fetched live from OpenAlex

A diagnosis of cancer compounds the complexities of adolescent development. Self-esteem and sexual health have a significant impact on adolescent identity formation, especially those young patients coping with a diagnosis of cancer. Knowledge of sexual health, interpersonal relationships, and body image concerns are factors that have an impact on the development of self-esteem during these transition periods into adulthood. A clinical perspective on these issues was utilized to highlight the nature of self-esteem and sexuality in adolescents and young adults with cancer. Case examples and clinical recommendations from a workshop on self-esteem and sexuality in adolescents and young adults with cancer are presented. Understanding the adolescent's and young adult's stage of identity formation, their social and developmental histories, and methods for increasing self-esteem can give insight to healthcare professionals in fostering positive self-esteem and sexual health in these young patients. Through the awareness of the specific factors affecting adolescents and young adults with cancer, oncology teams can assist in creating an atmosphere for the growth of positive self-esteem and sexual health in their adolescent 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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.788
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
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 head0.039
GPT teacher head0.365
Teacher spread0.326 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations98
Published2006
Admission routes1
Has abstractyes

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