Literature DB >> 31841904

Crowd-sourced allergic rhinitis symptom data: The influence of environmental and demographic factors.

Jeremy D Silver1, Kymble Spriggs2, Simon Haberle3, Constance H Katelaris4, Edward J Newbigin5, Edwin R Lampugnani6.   

Abstract

Allergic Rhinitis (AR) affects over half a billion people worldwide with an estimated prevalence of 1 in 5 individuals in developed countries. Although ambient pollen exposure is a causal factor in AR, the symptom-exposure relationship is typically not studied in the broader community but in small, well-characterised cohorts drawn from clinical populations. To identify relationships between AR symptoms in the community and a range of environmental factors, we used a database containing over 96,000 symptom score reports collected over a 3-year period (2014-2016) through freely available smartphone apps released in two Australian cities, Melbourne and Canberra. Ambient pollen levels and symptom scores were strongly related, with grass pollen explaining most of the symptom variation. Other factors correlated with higher symptom scores included temperature (R > 0.73) and wind speed (R > 0.75). In general, worse symptom scores were reported by younger participants, women, and those who had taken medication for AR in the preceding 24 h. The strength of this relationship varied between the two cities. Smartphone-based symptom surveys offer a cost-effective means of studying real-world risk factors for AR in a broader 'extra-clinical' population.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Allergic Rhinitis; Citizen Science; Hay Fever; Pollen; Smartphone; Symptom Score

Mesh:

Substances:

Year:  2019        PMID: 31841904     DOI: 10.1016/j.scitotenv.2019.135147

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 in total

1.  Atmospheric modelling of grass pollen rupturing mechanisms for thunderstorm asthma prediction.

Authors:  Kathryn M Emmerson; Jeremy D Silver; Marcus Thatcher; Alan Wain; Penelope J Jones; Andrew Dowdy; Edward J Newbigin; Beau W Picking; Jason Choi; Elizabeth Ebert; Tony Bannister
Journal:  PLoS One       Date:  2021-04-14       Impact factor: 3.240

2.  Importance of allergen-environment interactions in epidemic thunderstorm asthma.

Authors:  Kira Morgan Hughes; Dwan Price; Cenk Suphioglu
Journal:  Ther Adv Respir Dis       Date:  2022 Jan-Dec       Impact factor: 5.158

3.  Temporal Changes in Pollen Concentration Predict Short-Term Clinical Outcomes in Acute Coronary Syndromes.

Authors:  Omar Al-Mukhtar; Sara Vogrin; Edwin R Lampugnani; Samer Noaman; Diem T Dinh; Angela L Brennan; Christopher Reid; Jeffrey Lefkovits; Nicholas Cox; Dion Stub; William Chan
Journal:  J Am Heart Assoc       Date:  2022-03-15       Impact factor: 6.106

4.  Community Response to the Impact of Thunderstorm Asthma Using Smart Technology.

Authors:  Ala AlQuran; Mehak Batra; Nugroho Harry Susanto; Anne E Holland; Janet M Davies; Bircan Erbas; Edwin R Lampugnani
Journal:  Allergy Rhinol (Providence)       Date:  2021-04-26

5.  5-grass-pollen SLIT effectiveness in seasonal allergic rhinitis: Impact of sensitization to subtropical grass pollen.

Authors:  Sheryl A van Nunen; Melanie B Burk; Pamela K Burton; Geoffrey Ford; Richard J Harvey; Alexander Lozynsky; Elizabeth Pickford; Janet S Rimmer; Joanne Smart; Michael F Sutherland; Francis Thien; Heinrich C Weber; Harry Zehnwirth; Ed Newbigin; Constance H Katelaris
Journal:  World Allergy Organ J       Date:  2022-02-23       Impact factor: 4.084

6.  Personalized Pollen Monitoring and Symptom Scores: A Feasibility Study in Grass Pollen Allergic Patients.

Authors:  Letty A de Weger; Peter Th W van Hal; Bernadette Bos; Frank Molster; Marijke Mostert; Pieter S Hiemstra
Journal:  Front Allergy       Date:  2021-04-08
  6 in total

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