Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/209160
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dc.contributor.authorViera RJ-
dc.contributor.authorPham-Thi N-
dc.contributor.authorAntó JM-
dc.contributor.authorCzarlewski W-
dc.contributor.authorSá-Sousa A-
dc.contributor.authorAmaral R-
dc.contributor.authorBedbrook A-
dc.contributor.authorBosnic-Anticevich S-
dc.contributor.authorBrussino L-
dc.contributor.authorCanonica GW-
dc.contributor.authorCecchi L-
dc.contributor.authorCruz AA-
dc.contributor.authorFokkens WJ-
dc.contributor.authorGemicioglu B-
dc.contributor.authorHaahtela T-
dc.contributor.authorIvancevich JC-
dc.contributor.authorKlimek L-
dc.contributor.authorKuna P-
dc.contributor.authorKvedariene V-
dc.contributor.authorLarenas-Linnemann D-
dc.contributor.authorMorais-Almeida M-
dc.contributor.authorMullol J-
dc.contributor.authorNiedoszytko M-
dc.contributor.authorOkamoto Y-
dc.contributor.authorPapadopoulos NG-
dc.contributor.authorPatella V-
dc.contributor.authorPfaar O-
dc.contributor.authorRegateiro FS-
dc.contributor.authorReitsma S-
dc.contributor.authorRouadi PW-
dc.contributor.authorSamolinski B-
dc.contributor.authorSheikh A-
dc.contributor.authorTaborda-Barata L-
dc.contributor.authorToppila-Salmi S-
dc.contributor.authorSastre J-
dc.contributor.authorTsiligianni I-
dc.contributor.authorValiulis A-
dc.contributor.authorVentura MT-
dc.contributor.authorWaserman S-
dc.contributor.authorYorgancioglu A-
dc.date.accessioned2024-03-25T12:19:07Z-
dc.date.available2024-03-25T12:19:07Z-
dc.identifier.issnViera RJ;Pham-Thi N;Antó JM;Czarlewski W;Sá-Sousa A;Amaral R;Bedbrook A;Bosnic-Anticevich S;Brussino L;Canonica GW;Cecchi L;Cruz AA;Fokkens WJ;Gemicioglu B;Haahtela T;Ivancevich JC;Klimek L;Kuna P;Kvedariene V;Larenas-Linnemann D;Morais-Almeida M;Mullol J;Niedoszytko M;Okamoto Y;Papadopoulos NG;Patella V;Pfaar O;Regateiro FS;Reitsma S;Rouadi PW;Samolinski B;Sheikh A;Taborda-Barata L;Toppila-Salmi S;Sastre J;Tsiligianni I;Valiulis A;Ventura MT;Waserman S;Yorgancioglu A. Academic productivity of young people with allergic rhinitis: A MASK-air® study. Journal Of Allergy And Clinical Immunology-In Practice, 2022, 10, 11, 3008-3017.e4-+-
dc.identifier.urihttp://hdl.handle.net/2445/209160-
dc.description.abstractBACKGROUND: 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 [WPAIDCIQ: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]).<br />CONCLUSION: Allergy symptoms and worse rhinitis control are associated with worse academic productivity, whereas immunotherapy is associated with higher productivity. (C) 2022 American Academy of Allergy, Asthma & Immunology-
dc.format.extentNA-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1016/j.jaip.2022.08.015-
dc.relation.ispartofJournal Of Allergy And Clinical Immunology-In Practice, 2022, 10, 11, 3008-3017.e4-+-
dc.relation.urihttps://doi.org/10.1016/j.jaip.2022.08.015-
dc.sourceArticles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)-
dc.subjectAcademic productivity-
dc.subjectasthma-
dc.subjectCLASSROOM-
dc.subjectImpact-
dc.subjectMASK-
dc.subjectMobile health-
dc.subjectPERSON-CENTERED CARE-
dc.subjectReal-world data-
dc.subjectWORK PRODUCTIVITY-
dc.subjectacademic productivity-
dc.subjectAllergic Rhinitis-
dc.subjectMask-
dc.subjectmobile health-
dc.subjectQuality-Of-Life-
dc.subjectReal-world data-
dc.titleAcademic Productivity of Young People With Allergic Rhinitis: A MASK-air Study-
dc.typeinfo:eu-repo/semantics/article-
dc.date.updated2023-07-06T11:12:11Z-
dc.identifier.idimarina9329098-
Appears in Collections:Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)

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