TY - JOUR
T1 - Crowd-sourced allergic rhinitis symptom data
T2 - The influence of environmental and demographic factors
AU - Silver, Jeremy D.
AU - Spriggs, Kymble
AU - Haberle, Simon
AU - Katelaris, Constance H.
AU - Newbigin, Edward J.
AU - Lampugnani, Edwin R.
N1 - Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2020/2/25
Y1 - 2020/2/25
N2 - 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.
AB - 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.
KW - Allergic Rhinitis
KW - Citizen Science
KW - Hay Fever
KW - Pollen
KW - Smartphone
KW - Symptom Score
UR - http://www.scopus.com/inward/record.url?scp=85076286169&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2019.135147
DO - 10.1016/j.scitotenv.2019.135147
M3 - Article
SN - 0048-9697
VL - 705
JO - Science of the Total Environment
JF - Science of the Total Environment
M1 - 135147
ER -