Literature DB >> 33277274

Environmental factors associated with general practitioner consultations for allergic rhinitis in London, England: a retrospective time series analysis.

Dan Todkill1,2, Felipe de Jesus Colon Gonzalez3,4, Roger Morbey5, Andre Charlett6, Shakoor Hajat7, Sari Kovats7, Nicholas J Osborne8,9, Rachel McInnes10, Sotiris Vardoulakis11, Karen Exley12, Obaghe Edeghere13,5, Gillian Smith2,5, Alex J Elliot2,5.   

Abstract

OBJECTIVES: To identify key predictors of general practitioner (GP) consultations for allergic rhinitis (AR) using meteorological and environmental data.
DESIGN: A retrospective, time series analysis of GP consultations for AR.
SETTING: A large GP surveillance network of GP practices in the London area. PARTICIPANTS: The study population was all persons who presented to general practices in London that report to the Public Health England GP in-hours syndromic surveillance system during the study period (3 April 2012 to 11 August 2014). PRIMARY MEASURE: Consultations for AR (numbers of consultations).
RESULTS: During the study period there were 186 401 GP consultations for AR. High grass and nettle pollen counts (combined) were associated with the highest increases in consultations (for the category 216-270 grains/m3, relative risk (RR) 3.33, 95% CI 2.69 to 4.12) followed by high tree (oak, birch and plane combined) pollen counts (for the category 260-325 grains/m3, RR 1.69, 95% CI 1.32 to 2.15) and average daily temperatures between 15°C and 20°C (RR 1.47, 95% CI 1.20 to 1.81). Higher levels of nitrogen dioxide (NO2) appeared to be associated with increased consultations (for the category 70-85 µg/m3, RR 1.33, 95% CI 1.03 to 1.71), but a significant effect was not found with ozone. Higher daily rainfall was associated with fewer consultations (15-20 mm/day; RR 0.812, 95% CI 0.674 to 0.980).
CONCLUSIONS: Changes in grass, nettle or tree pollen counts, temperatures between 15°C and 20°C, and (to a lesser extent) NO2 concentrations were found to be associated with increased consultations for AR. Rainfall has a negative effect. In the context of climate change and continued exposures to environmental air pollution, intelligent use of these data will aid targeting public health messages and plan healthcare demand. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  allergy; epidemiology; primary care; public health

Year:  2020        PMID: 33277274     DOI: 10.1136/bmjopen-2019-036724

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


  3 in total

1.  Estimating the Impact of Air Pollution on Healthcare-Seeking Behaviour by Applying a Difference-in-Differences Method to Syndromic Surveillance Data.

Authors:  Roger Morbey; Gillian Smith; Karen Exley; André Charlett; Daniela de Angelis; Sally Harcourt; Felipe Gonzalez; Iain Lake; Alec Dobney; Alex Elliot
Journal:  Int J Environ Res Public Health       Date:  2022-06-09       Impact factor: 4.614

2.  Effects of rosmarinic acid on the inflammatory response in allergic rhinitis rat models after PM2.5 exposure.

Authors:  Lingling Zhou; Yu Huang; Zhijin Han; Jinchao Wang; Na Sun; Ruxin Zhang; Weiyang Dong; Congrui Deng; Guoshun Zhuang
Journal:  J Clin Lab Anal       Date:  2022-03-13       Impact factor: 2.352

3.  Has the Risk of Outpatient Visits for Allergic Rhinitis, Related to Short-Term Exposure to Air Pollution, Changed over the Past Years in Beijing, China?

Authors:  Sai Li; Gang Wang; Beibei Wang; Suzhen Cao; Kai Zhang; Xiaoli Duan; Wei Wu
Journal:  Int J Environ Res Public Health       Date:  2022-10-01       Impact factor: 4.614

  3 in total

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