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Record W4384818705 · doi:10.1007/s11764-023-01431-z

Health anxiety and the negative interpretation of children’s bodily symptoms in mothers of cancer patients

2023· article· en· W4384818705 on OpenAlexaff
Parham Hosseinchi, Erfan Ghalibaf, Golnoosh Kamyab, Aziz Eghbali, Ali Khatibi

Bibliographic record

VenueJournal of Cancer Survivorship · 2023
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsMedicineAnxietyDistressQuality of life (healthcare)CancerQuality of Life ResearchCognitionClinical psychologyPublic healthPsychiatryInternal medicinePathology

Abstract

fetched live from OpenAlex

PURPOSE: Fear of progression (FoP) is a substantial concern for family caregivers of cancer survivors and is related to a number of adverse outcomes, including increased mental distress and worse quality of life. Previous research has revealed that health anxiety (HA) contributes to fear of relapse, but cognitive factors underlying establishing and maintaining FoP in mothers of cancer patients have not been examined. In this study, we were looking to investigate this association. METHODS: We used the computerized interpretation bias (IB) assessment to investigate the biased interpretation of ambiguous bodily information and its association with FoP through HA among 69 mothers of cancer patients and 42 mothers of healthy kids. RESULTS: Mothers of cancer patients interpreted more negatively ambiguous bodily symptoms than mothers of healthy kids. Moreover, they had higher levels of HA and FoP and lower quality of life than the healthy group. Also, among mothers of cancer patients, the relationship between negative IB and FoP is mediated by their HA. CONCLUSIONS: The findings of this study imply that negative IB may contribute to increased HA, which in turn contributes to higher levels of FoP among the mothers of cancer patients, which may reduce the quality of life of their children. IMPLICATIONS FOR CANCER SURVIVORS: From these findings, we propose that changing HA through modification of IB might lower the FoP in mothers of kids with cancer and improve the mother and child's quality of life.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.930

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.010
GPT teacher head0.296
Teacher spread0.287 · 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.

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

Citations4
Published2023
Admission routes1
Has abstractyes

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