Smoking, Exercise and Dietary Behaviors Among Mothers of Elementary School‐aged Children in a Rural North Carolina County
Bibliographic record
Abstract
Tobacco use, poor diet, and physical inactivity are risk behaviors established during childhood and influenced by parents. Improving health habits of rural families poses particular challenges because resources may be limited in number and reach. To characterize the kinds of prevention programs needed by rural families, 501 surveys were mailed to caregivers of elementary school children living in a rural North Carolina county. Health behaviors, related attitudes, and demographic characteristics were assessed. Risk behaviors were defined as eating less than 5 fruits and vegetables a day, exercising less than 20 minutes 3 times a week, and being a smoker. Two hundred and sixty-one adults (55%) completed the surveys. Two hundred and forty-four (93%) were female, with a mean age of 37 years, 55% had a high school or less education, 89% reported at least one risk behavior, and 57% reported 2 or more risk behaviors. Female caregivers with multiple risk behaviors had lower educational levels (p < 0.007) and placed less importance on children's health behaviors (p < 0.009) than other caregivers. Female caregivers with multiple risk behaviors were no less confident they could change their behavior than those with only one risk behavior. The majority of female caregivers of elementary school children in this rural population engaged in and modeled multiple health risk behaviors for their children. Health promotion activities that address multiple risk factors and involve children are needed by young families in rural communities.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".