Correlations Between Family Meals and Psychosocial Well-being Among Adolescents
Bibliographic record
Abstract
OBJECTIVE: To determine the association between frequency of family meals and multiple indicators of adolescent health and well-being (tobacco, alcohol, and marijuana use; academic performance; self-esteem; depressive symptoms; and suicide involvement) after controlling for family connectedness. METHODS: Data come from a 1998-1999 school-based survey of 4746 adolescents from ethnically and socioeconomically diverse communities in the Minneapolis/St Paul, Minn, metropolitan area. Logistic regression, controlling for family connectedness and sociodemographic variables, was used to identify relationships between family meals and adolescent health behaviors. RESULTS: Approximately one quarter (26.8%) of respondents ate 7 or more family meals in the past week, and approximately one quarter (23.1%) ate family meals 2 times or less. Frequency of family meals was inversely associated with tobacco, alcohol, and marijuana use; low grade point average; depressive symptoms; and suicide involvement after controlling for family connectedness (odds ratios, 0.76-0.93). CONCLUSIONS: Findings suggest that eating family meals may enhance the health and well-being of adolescents. Public education on the benefits of family mealtime is recommended.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".