Dietary Salt–Related Knowledge, Attitudes, and Behaviors of New Zealand Adults Aged 18–65 Years
Bibliographic record
Abstract
OBJECTIVE: To explore dietary salt-related knowledge, attitudes, and behaviors of New Zealand (NZ) adults aged 18-65 years and assess differences by demographic subgroups. DESIGN: Cross-sectional online survey conducted between June 1, 2018 and August 31, 2018. SETTING: Participants were recruited in shopping malls, via social media, and a market research panel. PARTICIPANTS: English-speaking adults residing in NZ. VARIABLES MEASURED: An amended version of The Pan American and World Health Organization Knowledge, Attitudes, and Behaviors standardized survey tool was used. Demographic data (age, sex, ethnicity, and educational attainment) were also collected. ANALYSIS: Descriptive statistics reported. Chi-square test for independence to assess differences by demographics. RESULTS: The survey was completed by 1,131 adults (mean age 36 ± 15 years; n = 876 [78%] female; n = 661 [78%] NZ European/other; n = 210 [19%] Asian; n =164 [15%] Māori). In addition, 865 participants (83%) knew the primary dietary source of salt; 406 (40%) knew the recommended salt intake; 946 (95%) believed food manufacturers are responsible for sodium reduction; 563 (55%) supported government regulations; and 259 (26%) used food labels. Females and NZ European/other participants reported more favorable salt-reducing behaviors, such as avoiding fast-food and packaged, ready-to-eat foods (P < 0.001). CONCLUSIONS AND IMPLICATIONS: Improving salt-related knowledge, attitudes, and behaviors in NZ is particularly important for men, underserved populations, and adults aged 45-65 years. A multicomponent, national NZ salt reduction program based on research addressing engagement and effectiveness for at-risk groups is warranted.
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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) | 0.000 | 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 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".