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Record W4295993483 · doi:10.5430/ijhe.v11n5p153

Communication of Family Health History among College Students and Their Families

2022· article· en· W4295993483 on OpenAlexvenueno aff
Ernest Kaninjing, Sabrina L. Dickey, Christina Ouma

Bibliographic record

VenueInternational Journal of Higher Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsnot available
FundersNational Institute on Minority Health and Health DisparitiesNational Cancer InstituteNational Institutes of Health
KeywordsFamily historySocioeconomic statusFamily incomeHealth communicationPsychologyFamily healthYoung adultFamily medicineMedicineGerontologyEnvironmental healthNursingPopulationCommunication

Abstract

fetched live from OpenAlex

It is essential that college students are knowledgeable about their family health history to make informed decisions about health behaviors and cancer screening. In the transitional phase from adolescence to adulthood, engaging in healthy behaviors and communication between family members can be challenging for college students. In this study, the Communication Privacy Management theory provided a framework to examine health and cancer communication among college students and their families. Methods: A cross-sectional online survey was conducted among college students aged 18 years and over (n = 106). Results: Knowledge of participants’ family health history was significantly associated with family health and cancer communication, religious beliefs, and higher annual household income (> $75,000). Being young (< 22 years) and female was significantly associated with knowledge of family health history and family health and cancer communication. Conclusion: Demographic, socioeconomic, and sociocultural factors may influence college students’ level of knowledge about their family health history and communication within their family about general health and cancer risk.

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 score0.186
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.036
GPT teacher head0.367
Teacher spread0.330 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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