The influential role of parents’ socioeconomic status and diet quality on their children’s dietary behavior: results from the LIPOKAP study among the Iranian population
Bibliographic record
Abstract
PURPOSE: There is a paucity of evidence regarding the influential factors on Iranian children's diet quality. To assess this issue, we explore the relationship between parental diet quality, socioeconomic status (SES), and nutritional knowledge with their children's diet quality using a cross-sectional sample of the Iranian population. METHODS: In this study, paired parents along with one of their children (aged 6-18 years old) who lived with them were included. Dietary intake was assessed using a food frequency questionnaire (FFQ) and diet quality was determined using an Alternative Healthy Eating Index-2010 (AHEI). Nutritional knowledge and SES were also explored using validated questionnaires. Multiple linear regression analysis was used and beta (β) and corresponding 95% confidence interval (CI) were reported. RESULTS: After controlling for potential confounders, the parents' AHEI was significantly associated with their children's diet quality (β = 12.34, 95% CI: 10.75, 13.93; P < 0.001). The nutritional knowledge of parents was significantly associated with children's AHEI after controlling for potential confounders (β = 1.63, 95% CI: 0.14, 3.11; P = 0.032). Moreover, the parents' SES was inversely associated with the AHEI of children (β=-3.76, 95% CI: -5.40, -2.11; P < 0.001); however, further adjustment for confounders attenuated this relationship (Model 3: β = 0.87, 95% CI: -0.76, 2.34; P = 0.269). CONCLUSIONS: We found that the children's diet quality could be influenced by their parents' SES, nutritional knowledge, and diet quality. Our findings suggest that improving the nutritional knowledge of parents not only may improve the healthy eating pattern of parents but also could influence their children's diet quality.
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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 | 0.001 | 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 | 0.001 | 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".