Behavioural determinants of salt consumption among hypertensive individuals
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: High salt consumption among populations remains a challenge for health professionals dealing with prevention and control of hypertension. The present study aimed to identify the psychosocial predictors of salt consumption among hypertensive individuals, based on an extended version of the Theory of Planned Behaviour (TPB). Three salt consumption behaviours were studied: Behaviour 1- using <4 g of salt per day during cooking; Behaviour 2- avoiding adding salt/table salt use to the prepared foods; and Behaviour 3- avoiding the consumption of foods with high salt content. METHODS: At baseline (n = 108), TPB and additional variables (self-efficacy, habit, past behaviour, hedonic determinant, self-perceived diet quality) were measured. At 2-month follow-up (n = 95), the three behaviours were assessed. Behaviour and intention were sequentially regressed on the study variables, using polytomous logistic regression and hierarchical linear regression with rank transformation, respectively. RESULTS: Behaviour 1 was predicted by intention [odds ratio (OR) = 6.23; 95% confidence interval (CI) = 1.81-21.52], whereas self-efficacy and habit predicted intention. Behaviour 2 exhibited high score mean and low variation and was predicted by self-perceived diet quality (OR = 2.56; 95% CI = 1.03-6.36). Behaviour 3 was predicted by the hedonic determinant (OR = 1.42; 95% CI = 1.01-1.98). CONCLUSIONS: The results indicate that salt-related behaviours are explained by a variety of determinants. Among these determinants, special consideration should be given to motivational and hedonic aspects.
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.
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) | 0.000 | 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 it