Abstract 058: Residential Proximity to Major Roadways is Associated with Increased Risk of Hypertension among Post-Menopausal Women: Results from the San Diego Cohort of the Women's Health Initiative
Notice bibliographique
Résumé
Introduction: Long term exposure to traffic pollution has been linked to elevated risk of cardiovascular events and mortality. These associations may be conceptually mediated, at least in part, through increased risk of hypertension, but this hypothesis has not been examined in detail. We assessed the hypothesis that residential distance to major roadways, a marker of long-term exposure to traffic pollution, is inversely associated with risk of hypertension among post-menopausal women. Methods: We examined the cross-sectional association between residential proximity to major roadways and prevalent hypertension using baseline data from 5,401 women aged 50–79 years enrolled into the San Diego cohort of the Women’s Health Initiative. We geocoded participants’ residential addresses and calculated the Euclidean distance to the nearest freeway, freeway ramp or prime arterial road. Hypertension was defined as blood pressure ≥140/90 mmHg, self-reported history of anti-hypertensive drug use or prior physician diagnosis. We used logistic regression to estimate the association between hypertension prevalence and distance to major roadway, adjusting for age, race, smoking, body mass index, waist-hip ratio, history of diabetes, cholesterol level, education, family income, and neighborhood socioeconomic status. We considered distance to major roadway as both a categorical variable (≤50, >50 to 200, >200 to 400, and >400 m) and a log-transformed continuous variable. In a sensitivity analysis, we further adjusted for density of supermarkets and grocery stores within 1.6 km of each residence. Results: Participants were predominantly white non-Hispanic (75.4%) with a mean age of 64.7 (SD=7.7) years. The prevalence of hypertension was 42.0%. The median distance to a major roadway was 837 m (25 th − 75 th percentiles: 408 – 1510 m). Adjusting for individual characteristics and individual and neighborhood level indicators of socioeconomic status, the prevalence odds ratio for hypertension was 1.69 (95% CI: 1.11, 2.59), 1.11 (0.89, 1.38) and 1.06 (0.89, 1.26) for women living ≤50, >50 to 200, and >200 to 400 versus >400 m from a major roadway ( P trend =0.03). Considering distance to major roadway as a log-transformed continuous variable, we found that living 400 m versus 1500 m from a major roadway was associated with a 8.3% (95% CI: 1.9, 15.1%) increase in the prevalence odds of hypertension ( P= 0.01). Further adjustment for local supermarket/grocery store density did not materially alter the results. Conclusion: In this cohort of post-menopausal women, residential proximity to major roadways was associated with prevalence of hypertension, even after accounting for important individual, socioeconomic and neighborhood-level characteristics. These results suggest that traffic pollution may increase the risk of cardiovascular events, at least in part, through increased risk of hypertension.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».