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Using the AllerSearch Smartphone App to Assess the Association Between Dry Eye and Hay Fever: mHealth-Based Cross-Sectional Study

Authors :
Takenori Inomata
Jaemyoung Sung
Masahiro Nakamura
Masao Iwagami
Yasutsugu Akasaki
Kenta Fujio
Nobuyuki Ebihara
Takuma Ide
Masashi Nagao
Yuichi Okumura
Ken Nagino
Keiichi Fujimoto
Atsuko Eguchi
Kunihiko Hirosawa
Akie Midorikawa-Inomata
Kaori Muto
Kumiko Fujisawa
Yota Kikuchi
Shuko Nojiri
Akira Murakami
Source :
Journal of Medical Internet Research, Vol 25, p e38481 (2023)
Publication Year :
2023
Publisher :
JMIR Publications, 2023.

Abstract

BackgroundDry eye (DE) and hay fever (HF) show synergistic exacerbation of each other’s pathology through inflammatory pathways. ObjectiveThis study aimed to investigate the association between DE and HF comorbidity and the related risk factors. MethodsA cross-sectional observational study was conducted using crowdsourced multidimensional data from individuals who downloaded the AllerSearch smartphone app in Japan between February 2018 and May 2020. AllerSearch collected the demographics, medical history, lifestyle and residential information, HF status, DE symptoms, and HF-related quality of life. HF symptoms were evaluated using the nasal symptom score (0-15 points) and nonnasal symptom score (0-12 points). HF was defined by the participants’ responses to the questionnaire as HF, non-HF, or unknown. Symptomatic DE was defined as an Ocular Surface Disease Index total score (0-100 points), with a threshold score of 13 points. HF-related quality of life was assessed using the Japanese Allergic Conjunctival Disease Standard Quality of Life Questionnaire (0-68 points). We conducted a multivariable linear regression analysis to examine the association between the severity of DE and HF symptoms. We subsequently conducted a multivariable logistic regression analysis to identify the factors associated with symptomatic DE (vs nonsymptomatic DE) among individuals with HF. Dimension reduction via Uniform Manifold Approximation and Projection stratified the comorbid DE and HF symptoms. The symptom profiles in each cluster were identified using hierarchical heat maps. ResultsThis study included 11,284 participants, classified into experiencing HF (9041 participants), non-HF (720 participants), and unknown (1523 participants) groups. The prevalence of symptomatic DE among individuals with HF was 49.99% (4429/9041). Severe DE symptoms were significantly associated with severe HF symptoms: coefficient 1.33 (95% CI 1.10-1.57; P

Details

Language :
English
ISSN :
14388871
Volume :
25
Database :
Directory of Open Access Journals
Journal :
Journal of Medical Internet Research
Publication Type :
Academic Journal
Accession number :
edsdoj.0b8616da172d41729610aeff34dd4eea
Document Type :
article
Full Text :
https://doi.org/10.2196/38481