Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Hay fever symptoms and preventive behavior during the COVID-19 pandemic and exploratory causal analysis: digital-based cohort study using AllerSearch smartphone application.
Author Affiliations & Notes
  • Aya Motoyoshi
    Ophthalmology, Juntendo University School of Medicine, Bunkyo-ku, Tokyo, Japan
    Ophthalmology, Tokyo Women's Medical University, Shinjuku-ku, Tokyo, Japan
  • Ken Nagino
    Ophthalmology, Juntendo University School of Medicine, Bunkyo-ku, Tokyo, Japan
    Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
  • Takenori Inomata
    Telemedicine and Mobile Health Research and Development, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
    AI Incubation Farm, Juntendo University, Bunkyo-ku, Tokyo, Japan
  • Akie Midorikawa-Inomata
    Hospital Administration, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
  • Atsuko Eguchi
    Hospital Administration, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
  • Kenta Fujio
    Ophthalmology, Juntendo University School of Medicine, Bunkyo-ku, Tokyo, Japan
    Digital Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
  • Keiji Inagaki
    Ophthalmology, Juntendo University School of Medicine, Bunkyo-ku, Tokyo, Japan
  • Shintaro Nakao
    Ophthalmology, Juntendo University School of Medicine, Bunkyo-ku, Tokyo, Japan
  • Footnotes
    Commercial Relationships   Aya Motoyoshi None; Ken Nagino Innojin Co., Ltd., Code E (Employment), Innojin Co., Ltd., Code R (Recipient); Takenori Inomata Innojin Co., Ltd., Code O (Owner), Innojin Co., Ltd., Code P (Patent), Innojin Co., Ltd., Code R (Recipient); Akie Midorikawa-Inomata Innojin Co., Ltd., Code O (Owner), Innojin Co., Ltd., Code R (Recipient); Atsuko Eguchi None; Kenta Fujio None; Keiji Inagaki None; Shintaro Nakao None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 6023. doi:
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      Aya Motoyoshi, Ken Nagino, Takenori Inomata, Akie Midorikawa-Inomata, Atsuko Eguchi, Kenta Fujio, Keiji Inagaki, Shintaro Nakao; Hay fever symptoms and preventive behavior during the COVID-19 pandemic and exploratory causal analysis: digital-based cohort study using AllerSearch smartphone application.. Invest. Ophthalmol. Vis. Sci. 2024;65(7):6023.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose :
Preventive measures for hay fever share commonalities with those for COVID-19. However, there are no formal reports on preventive behaviors or symptoms related to hay fever during the COVID-19 pandemic. To understand the impact of the pandemic on hay fever, we explored changes in hay fever symptoms and preventive behaviors during the pandemic using the AllerSearch® smartphone application, as well as their possible causal relationship.

Methods : The study was conducted using the AllerSearch® smartphone application for hay fever research. Users who agreed to participate in the study and indicated that they had hay fever were included in the study. We defined participants who answered during February 1st, 2018 to May 31st, 2019 as “pre-pandemic” subjects and those who answered during February 1st, 2020 to May 31, 2021 as “mid-pandemic” subjects. Hay fever symptoms and its preventive behaviors during both periods were compared. Symptoms were evaluated using the total hay fever symptom scores (TSS, range: 0-27), which assess for various nasal and non-nasal symptoms. Causal relationship between the pandemic and symptoms was examined using a statistical causal search method, the Linear Non-Gaussion Acyclic Model (LiNGAM).

Results : 3,199 pre-pandemic subjects and 1,339 mid-pandemic subjects were included in the analysis. Median (IQR) age was 34.0 and 54.3% were female. Mid-pandemic mask use rate was higher compared to pre-pandemic data, analyzed by logistic regression adjusted for age, sex, amount of pollen, and hay fever symptoms (Odds ratio: 1.238, 95% CI: 1.054-1.561). TSS was significantly worse mid-pandemic, shown by multiple regression adjusted by age, gender, amount of pollen, hours of sleep, number of walks, and preventive behaviors (regression coefficient: 1.047, 95% CI: 0.671-1.423). In addition, LiNGAM analysis suggested a causal effect of the pandemic on hay fever symptoms with a causal coefficient of 1.017.

Conclusions : Compared to pre-pandemic periods, mask-use rates increased mid-pandemic, which is thought to exert protective effects against developing hay fever symptoms. However, our data suggests a possible worsening of hay fever during the pandemic, supported by a causal relationship shown by our analysis. This data may warrant further investigation regarding the underpinnings of our counterintuitive results.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

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