Air quality alerts benefit asthmatics – Authors' reply
Notice bibliographique
Résumé
We appreciate the comments by Kaylee Ho and colleagues1Ho K Paez J Liu B Air quality alerts benefit asthmatics.Lancet Planet Health. 2018; 2: 518Summary Full Text Full Text PDF PubMed Scopus (2) Google Scholar on our study,2Chen H Li Q Kaufman JS et al.Effect of air quality alerts on human health: a regression discontinuity analysis in Toronto, Canada.Lancet Planet Health. 2018; 2: e19-e26Summary Full Text Full Text PDF PubMed Scopus (48) Google Scholar in which we evaluated the influence of an air quality alert programme on a wide array of health outcomes in Toronto, Canada. The Correspondence by Ho and colleagues presented an analysis using the 2007–10 National Health and Nutrition Examination Survey in the USA, showing that individuals who had asthma were more likely to change their behaviours in response to deterioration in air quality than those without asthma.3Zipf G Chiappa M Porter KS Ostchega Y Lewis BG Dostal J National health and nutrition examination survey: plan and operations, 1999–2010.Vital Health Stat 1. 2013; 56: 1-37Google Scholar Their finding adds to the ongoing scientific discussion as to whether an air quality alert programme might encourage avoidance behaviours (eg, reducing outdoor travelling and physical activities) on days with high levels of pollution. Although we applaud the efforts made by Ho and colleagues to provide an explanation to one of our findings that air quality alerts were related to some reduction in asthma-related emergency department visits, their method is somewhat unclear. Without presenting the number of non-asthmatics, there is some ambiguity as to whether the four strata (lifetime asthma, current asthma, asthma attack in the past year, and asthma emergency department visit in the past year) were indeed mutually exclusive. In addition, it is uncertain whether the question about behavioural changes was responded to by both asthmatics and non-asthmatics, or only by individuals with asthma. Furthermore, Ho and colleagues compared the proportion of individuals who changed activity because of poor air quality between asthmatics and non-asthmatics within each of the four strata. This appears to imply that individuals who do not have asthma were also included in the four strata. Despite our observation that air quality alerts were related to some decreases in asthma emergency department visits, we did not detect a reduction in any of the other health outcomes examined. One important implication of these findings is that measures focusing only on days with the highest levels of pollution are unlikely to help to address the most harmful effects of air pollution, given the role of long-term air pollution exposure as a risk factor for major chronic diseases such as cancer, cardiovascular diseases, and respiratory diseases. Although there is an increasing interest in developing innovative programmes, such as personalised systems to protect high-risk subgroups from air pollution, converging scientific evidence over the past decades suggests that air pollution problems are best addressed through collective and enforceable actions. Such actions could be improvement in fuel standards and emission control, especially targeting specific sources such as power generation and industries that contribute substantially to air pollution, and improvement in urban and transportation planning, rather than advising individuals and leaving to them to protect themselves from the harmful effects of air pollution. We declare no competing interests. Air quality alerts benefit asthmaticsWe have read with interest the Article by Hong Chen and colleagues,1 particularly the evidence of reductions in asthma-related emergency-department visits associated with air quality alert programmes in Toronto (ON, Canada). We have compared changes in activity between people with asthma and people who do not have asthma using representative data from the 2007–10 National Health and Nutrition Examination Survey in the USA.2 Full-Text PDF Open Access
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Prédiction distillée sur la base complète
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Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,006 |
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
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