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Heart failure patients' perceptions on nutrition and dietary adherence

2009· article· en· W2085095165 on OpenAlexaff
Seongkum Heo, Terry A. Lennie, Debra K. Moser, Chizimuzo T.C. Okoli

Bibliographic record

VenueEuropean Journal of Cardiovascular Nursing · 2009
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsUniversity of British Columbia
FundersNational Institute of Nursing ResearchNational Institutes of HealthAmerican Heart Association
KeywordsMedicineHeart failureEnvironmental healthIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: The purpose of this study was to explore patients' perception about how the foods they eat impact heart failure (HF) symptoms, their understanding of dietary recommendations received, and factors affecting their adherence to dietary recommendations that include recommendations to follow a low sodium diet and a low-fat diet. METHODS: Qualitative data were obtained from 20 patients using semi-structured interviews. RESULTS: The majority of patients believed that food intake could impact their health, but less than half thought sodium could affect HF symptoms. Eighty-five percent of patients received recommendations for a specific diet, but only 60% reported following them. Factors identified as affecting adherence included: a) knowledge, b) social pressure and encouragement from others, c) social situations, and d) food as a source of pleasure and enjoyment. CONCLUSION: Ability to follow dietary recommendations remains a problem for many patients. Patients identified several key factors that affected ability to follow dietary recommendations. Strategies that target these factors may promote patients' decision to follow dietary recommendations and enhance their ability to do so.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.918
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.017
GPT teacher head0.254
Teacher spread0.237 · 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 designOther design
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

Citations62
Published2009
Admission routes1
Has abstractyes

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