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Record W1976215795 · doi:10.1111/jch.12093

Health Behaviors for Hypertension Management in People With and Without Coexisting Diabetes

2013· article· en· W1976215795 on OpenAlexafffundabout
Marianne E. Gee, William Pickett, Ian Janssen, Jeffrey Johnson, Norman R.C. Campbell

Bibliographic record

VenueJournal of Clinical Hypertension · 2013
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of CalgaryUniversity of AlbertaQueen's UniversityPublic Health Agency of Canada
FundersCanadian Institutes of Health Research
KeywordsMedicineReceiptDiabetes mellitusBlood pressureDiabetes managementAlcohol consumptionFamily medicineGerontologyEnvironmental healthPhysical therapyInternal medicineType 2 diabetesEndocrinologyAlcohol

Abstract

fetched live from OpenAlex

Since blood pressure (BP) control is less often achieved by individuals with diabetes, the authors sought to determine whether receipt of and adherence to health behavior advice for hypertension control differs between people with and without diabetes, using data from the 2009 Survey on Living With Chronic Diseases in Canada. Individuals with coexisting diabetes were more likely to report receiving advice to control/lose weight (81% vs 66%), be physically active (79% vs 68%), limit alcohol consumption (78% vs 55%), and modify diet (70% vs 61%) but not limit dietary salt (65% vs 64%) compared with individuals with hypertension alone (n=4.965). People with and without diabetes were equally likely to report following the advice they received, with receipt of advice positively associated with engagement in healthy behaviors. Since receipt of advice appears to influence behavior, health professionals should be encouraged to further promote BP self-management strategies.

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 score0.107
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.092
GPT teacher head0.378
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

Citations7
Published2013
Admission routes3
Has abstractyes

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