Characterization of salt consumption among hypertensives according to socio-demographic and clinical factors
Bibliographic record
Abstract
OBJECTIVE: To evaluate the relationship between the behaviors of salt consumption and socio-demographic and clinical variables. METHOD: Sodium consumption was evaluated using the methods: self-reporting (considering 3 different behaviors related to salt consumption), 24- hr dietary recall, discretionary salt, food frequency questionnaire, estimation of total sodium intake and 24-hr urinary excretion of sodium (n=108). RESULTS: Elevated salt intake according to the different measurements of consumption of the nutrient was associated with the variables: male sex, low level of schooling and monthly income, being Caucasian, and being professionally inactive; and with the clinical variables: elevated Body Mass Index, tensional levels, ventricular hypertrophy and the number of medications used. CONCLUSION: The data obtained shows a heterogenous association between the different behaviors related to salt consumption and the socio-demographic and clinical variables. This data can be used to optimize the directing of educational activities with a view to reducing salt consumption among hypertensives.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".