1. Spatio-temporal associations of air pollutant concentrations, GP respiratory consultations and respiratory inhaler prescriptions: a 5-year study of primary care in the borough of Lambeth, South London
- Author
-
Joel Schwartz, David Whitney, Konstantina Dimakopoulou, Antonis Analitis, Sofia Zafeiratou, Evangelia Samoli, Richard Atkinson, Sean Beavers, Mark Ashworth, and Klea Katsouyanni
- Subjects
010504 meteorology & atmospheric sciences ,Office Visits ,Health, Toxicology and Mutagenesis ,Respiratory Tract Diseases ,010501 environmental sciences ,01 natural sciences ,Inhaler prescription ,Interquartile range ,London ,Medicine ,Respiratory system ,Child ,Inhalation Exposure ,COPD ,Air pollutant concentrations ,Respiratory illness ,Middle Aged ,Primary care ,Prescriptions ,Child, Preschool ,Public aspects of medicine ,RA1-1270 ,Air pollutants ,Adult ,medicine.medical_specialty ,Adolescent ,Nitrogen Dioxide ,complex mixtures ,Young Adult ,Ozone ,General Practitioners ,Humans ,Medical prescription ,Aged ,0105 earth and related environmental sciences ,Asthma ,Models, Statistical ,Primary Health Care ,business.industry ,Nebulizers and Vaporizers ,Research ,Public health ,Inhaler ,Infant, Newborn ,Public Health, Environmental and Occupational Health ,Infant ,medicine.disease ,Industrial medicine. Industrial hygiene ,RC963-969 ,Emergency medicine ,Particulate Matter ,business - Abstract
Background Although the associations of outdoor air pollution exposure with mortality and hospital admissions are well established, few previous studies have reported on primary care clinical and prescribing data. We assessed the associations of short and long-term pollutant exposures with General Practitioner respiratory consultations and inhaler prescriptions. Methods Daily primary care data, for 2009–2013, were obtained from Lambeth DataNet (LDN), an anonymised dataset containing coded data from all patients (1.2 million) registered at general practices in Lambeth, an inner-city south London borough. Counts of respiratory consultations and inhaler prescriptions by day and Lower Super Output Area (LSOA) of residence were constructed. We developed models for predicting daily PM2.5, PM10, NO2 and O3 per LSOA. We used spatio-temporal mixed effects zero inflated negative binomial models to investigate the simultaneous short- and long-term effects of exposure to pollutants on the number of events. Results The mean concentrations of NO2, PM10, PM2.5 and O3 over the study period were 50.7, 21.2, 15.6, and 49.9 μg/m3 respectively, with all pollutants except NO2 having much larger temporal rather than spatial variability. Following short-term exposure increases to PM10, NO2 and PM2.5 the number of consultations and inhaler prescriptions were found to increase, especially for PM10 exposure in children which was associated with increases in daily respiratory consultations of 3.4% and inhaler prescriptions of 0.8%, per PM10 interquartile range (IQR) increase. Associations further increased after adjustment for weekly average exposures, rising to 6.1 and 1.2%, respectively, for weekly average PM10 exposure. In contrast, a short-term increase in O3 exposure was associated with decreased number of respiratory consultations. No association was found between long-term exposures to PM10, PM2.5 and NO2 and number of respiratory consultations. Long-term exposure to NO2 was associated with an increase (8%) in preventer inhaler prescriptions only. Conclusions We found increases in the daily number of GP respiratory consultations and inhaler prescriptions following short-term increases in exposure to NO2, PM10 and PM2.5. These associations are more pronounced in children and persist for at least a week. The association with long term exposure to NO2 and preventer inhaler prescriptions indicates likely increased chronic respiratory morbidity.
- Published
- 2021