Risk factors for asthma and cough among Hispanic children in the southwestern United States of America, 2003-2004
Bibliographic record
Abstract
OBJECTIVES: To investigate the impact of environmental tobacco smoke (ETS) exposure and mother's place of birth (Mexico vs. United States of America) on the prevalence of asthma and dry nighttime cough among children 2-12 years old residing in the southwestern United States. METHODS: Data were collected from November 2003 through March 2004 as part of a health survey of Hispanic mothers with young children who sought emergency, nutrition, or other clinical services. Information about respiratory health was obtained for one randomly selected child per United States-born (no. = 144) or Mexico-born (no. = 125) mother. Information on maternal and household sociodemographic variables, smoking, parental asthma, and child's exposure to room or automobile ETS during the previous seven days was also collected. Adjusted prevalence ratios were estimated with modified Poisson regression models. RESULTS: Most sociodemographic and ETS exposure variables differed significantly by mother's country of birth. Modeled asthma prevalence was 1.95 [95% confidence interval (CI) = 1.03-3.68] times greater in children of United States-born mothers than children of Mexico-born mothers. This difference persisted after known asthma risk factors were controlled for, including parental asthma, socioeconomic and demographic variables, and child ETS exposure. Children's recent automobile ETS exposure was associated with dry nighttime cough [adjusted prevalence ratio (PR) = 1.94, 95% CI = 1.19-3.15] and asthma (PR = 2.09; 95% CI = 0.99-4.39). CONCLUSIONS: Exposure to ETS in automobiles is an important risk factor for asthma and dry nighttime cough among Hispanic children in the southwest United States, regardless of mother's country of birth. Further research is needed to identify causes of the higher prevalence of asthma in Hispanic children of United States-born mothers.
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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 | 0.001 |
| 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".