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Record W4402841385 · doi:10.2196/59614

Implementation of Regular Lifestyle Counseling During Long-Term Follow-Up Care of Childhood Cancer Survivors: Monocentric Prospective Study

2024· article· en· W4402841385 on OpenAlexvenueno aff
Franziska Richter, Lea Louisa Kronziel, Inke R. König, Thorsten Langer, Judith Gebauer

Bibliographic record

VenueJMIR Cancer · 2024
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsPreprintMedicineTerm (time)Childhood cancerGerontologyLong-term careCancerNursingInternal medicine

Abstract

fetched live from OpenAlex

Background: Many childhood cancer survivors (CCS) develop treatment-related late effects, including an increased risk of obesity and metabolic syndrome. A healthy lifestyle can reduce the risk of associated comorbidities. Therefore, at-risk CCS could benefit from lifestyle counseling during regular long-term follow-up (LTFU). Objective: We implemented a new form of care to decrease the long-term morbidity among CCS and to gain new insights into the lifestyle of those patients. Methods: Over a 1-year study period, lifestyle counseling was integrated into LTFU care. Metabolic disorders, including hypercholesterolemia, diabetes mellitus, overweight or underweight, and low activity levels, were assessed as screening parameters for various risk groups. The perspectives of CCS, physicians, and sports scientists were compared to identify those with the highest needs. Each lifestyle counseling included general recommendations for physical activity, as well as an assessment of individual preferences for and barriers to the implementation of a healthy lifestyle. A follow-up appointment after 1 month was performed. Results: Of the 155 CCS aged 18 to 63 years (n=100, 65% female and n=55, 35% male), 112 (72%) had an indication for lifestyle counseling, identified by physicians, sports scientists, or the CCS themselves. Metabolic disorders affected 45% (n=70) of these CCS, and 46% (n=72) did not meet recommended activity levels. A total of 120 (77%) CCS received lifestyle counseling, including 8 initially uninterested individuals who became open to recommendations. Those with intensive cancer treatment history showed the greatest need. A total of 65 (54%) CCS were advised to change their lifestyle in both areas (diet and exercise) while 51 (43%) CCS received recommendations for only exercise (n=43 CCS, 36%) or diet (n=8 CCS, 7%). A total of 4 (3%) CCS, although interested in counseling, received no advice, as they already met the recommendations. Follow-up revealed high adherence to recommendations and successful integration into daily lives. In total, 97% (n=150) of survivors indicated that the provision of lifestyle counseling during LTFU would be generally beneficial. Conclusions: Incorporating specialized health care professionals such as sports scientists into survivorship care enhances the multidisciplinary approach of LTFU care. Promoting a healthy lifestyle by offering guideline-based lifestyle counseling is broadly accepted among CCS and may reduce long-term morbidity.

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)0.002
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 score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.357
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 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
Published2024
Admission routes1
Has abstractyes

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