TY - JOUR
T1 - Academic productivity of young people with allergic rhinitis
T2 - a MASK-air study
AU - Vieira, Rafael José
AU - Pham-Thi, Nhân
AU - Anto, Josep M.
AU - Czarlewski, Wienczyslawa
AU - Sá-Sousa, Ana
AU - Amaral, Rita
AU - Bedbrook, Anna
AU - Bosnic-Anticevich, Sinthia
AU - Brussino, Luisa
AU - Canonica, G. Walter
AU - Cecchi, Lorenzo
AU - Cruz, Alvaro A.
AU - Fokkens, Wytske J.
AU - Gemicioglu, Bilun
AU - Haahtela, Tari
AU - Ivancevich, Juan Carlos
AU - Klimek, Ludger
AU - Kuna, Piotr
AU - Kvedariene, Violeta
AU - Larenas-Linnemann, Désirée
AU - Morais-Almeida, Mario
AU - Mullol, Joaquim
AU - Niedoszytko, Marek
AU - Okamoto, Yoshitaka
AU - Papadopoulos, Nikolaos G.
AU - Patella, Vincenzo
AU - Pfaar, Oliver
AU - Regateiro, Frederico S.
AU - Reitsma, Sietze
AU - Rouadi, Philip W.
AU - Samolinski, Boleslaw
AU - Sheikh, Aziz
AU - Taborda-Barata, Luis
AU - Toppila-Salmi, Sanna
AU - Sastre, Joaquin
AU - Tsiligianni, Ionna
AU - Valiulis, Arunas
AU - Ventura, Maria Teresa
AU - Waserman, Susan
AU - Yorgancioglu, Arzu
AU - Zidarn, Mihaela
AU - Zuberbier, Torsten
AU - Fonseca, João A.
AU - Bousquet, Jean
AU - Sousa-Pinto, Bernardo
AU - MASK study group
PY - 2022/11
Y1 - 2022/11
N2 - Background: Several studies have suggested an impact of allergic rhinitis on academic productivity. However, large studies with real-world data (RWD) are not available.Objective: To use RWD to assess the impact of allergic rhinitis on academic performance (measured through a visual analog scale [VAS] education and the Work Productivity and Activity Impairment Questionnaire plus Classroom Impairment Questions: Allergy Specific [WPAI+CIQ:AS] questionnaire), and to identify factors associated with the impact of allergic rhinitis on academic performance.Methods: We assessed data from the MASK-air mHealth app of users aged 13 to 29 years with allergic rhinitis. We assessed the correlation between variables measuring the impact of allergies on academic performance (VAS education, WPAI+CIQ:AS impact of allergy symptoms on academic performance, and WPAI+CIQ:AS percentage of education hours lost due to allergies) and other variables. In addition, we identified factors associated with the impact of allergic symptoms on academic productivity through multivariable mixed models.Results: A total of 13,454 days (from 1970 patients) were studied. VAS education was strongly correlated with the WPAI+CIQ:AS impact of allergy symptoms on academic productivity (Spearman correlation coefficient = 0.71 [95% confidence interval (CI) = 0.58; 0.80]), VAS global allergy symptoms (0.70 [95% CI = 0.68; 0.71]), and VAS nose (0.66 [95% CI = 0.65; 0.68]). In multivariable regression models, immunotherapy showed a strong negative association with VAS education (regression coefficient = −2.32 [95% CI = −4.04; −0.59]). Poor rhinitis control, measured by the combined symptom-medication score, was associated with worse VAS education (regression coefficient = 0.88 [95% CI = 0.88; 0.92]), higher impact on academic productivity (regression coefficient = 0.69 [95% CI = 0.49; 0.90]), and higher percentage of missed education hours due to allergy (regression coefficient = 0.44 [95% CI = 0.25; 0.63]).Conclusion: Allergy symptoms and worse rhinitis control are associated with worse academic productivity, whereas immunotherapy is associated with higher productivity.
AB - Background: Several studies have suggested an impact of allergic rhinitis on academic productivity. However, large studies with real-world data (RWD) are not available.Objective: To use RWD to assess the impact of allergic rhinitis on academic performance (measured through a visual analog scale [VAS] education and the Work Productivity and Activity Impairment Questionnaire plus Classroom Impairment Questions: Allergy Specific [WPAI+CIQ:AS] questionnaire), and to identify factors associated with the impact of allergic rhinitis on academic performance.Methods: We assessed data from the MASK-air mHealth app of users aged 13 to 29 years with allergic rhinitis. We assessed the correlation between variables measuring the impact of allergies on academic performance (VAS education, WPAI+CIQ:AS impact of allergy symptoms on academic performance, and WPAI+CIQ:AS percentage of education hours lost due to allergies) and other variables. In addition, we identified factors associated with the impact of allergic symptoms on academic productivity through multivariable mixed models.Results: A total of 13,454 days (from 1970 patients) were studied. VAS education was strongly correlated with the WPAI+CIQ:AS impact of allergy symptoms on academic productivity (Spearman correlation coefficient = 0.71 [95% confidence interval (CI) = 0.58; 0.80]), VAS global allergy symptoms (0.70 [95% CI = 0.68; 0.71]), and VAS nose (0.66 [95% CI = 0.65; 0.68]). In multivariable regression models, immunotherapy showed a strong negative association with VAS education (regression coefficient = −2.32 [95% CI = −4.04; −0.59]). Poor rhinitis control, measured by the combined symptom-medication score, was associated with worse VAS education (regression coefficient = 0.88 [95% CI = 0.88; 0.92]), higher impact on academic productivity (regression coefficient = 0.69 [95% CI = 0.49; 0.90]), and higher percentage of missed education hours due to allergy (regression coefficient = 0.44 [95% CI = 0.25; 0.63]).Conclusion: Allergy symptoms and worse rhinitis control are associated with worse academic productivity, whereas immunotherapy is associated with higher productivity.
KW - Allergic rhinitis
KW - MASK
KW - Real-world data
KW - Mobile health
KW - Academic productivity
UR - http://www.scopus.com/inward/record.url?scp=85138100696&partnerID=8YFLogxK
U2 - 10.1016/j.jaip.2022.08.015
DO - 10.1016/j.jaip.2022.08.015
M3 - Article
C2 - 35998876
SN - 2213-2198
VL - 10
SP - 3008-3017.e4
JO - Journal of Allergy and Clinical Immunology: In Practice
JF - Journal of Allergy and Clinical Immunology: In Practice
IS - 11
ER -