2026-10-19T04:52:11Zhttps://ebyu-rdlopen.rawdatalibrary.net/oai/request

oai:ebyu-rdlopen.rawdatalibrary.net:ebyu/110692026-10-18T21:13:14Zopenairedrivercom_ebyu_10000col_ebyu_10001

Socioeconomic status has direct impact on asthma control: Turkish adult asthma registryArslan, BaharTürk, MuratHayme, SerhatAydin, ÖmürGokmen, DeryaBuhari, Gozde KoycuSozener, Zeynep CelebiGemicioglu, BilunBulut, IsmetBeyaz, SengulOrcen, CihanOzdemir, Secil KepilKeren, MetinDamadoglu, EbruYakut, TugceKalpaklioglu, Ayse FusunBaccioglu, AyseYalim, Sumeyra AlanYilmaz, InsuKalkan, Ilkay KocaOzgun Niksarlioglu, Elif YeldaKalyoncu, Ali FuatKarakaya, GulErbay, MugeNayci, SibelTepetam, Fatma MerveGelincik, Asli AkkorDirol, HulyaGoksel, OzlemKaraoglanoglu, SelenErkekol, Ferda OnerIsik, Sacide RanaYildiz, FusunYavuz, YaseminKaradogan, DilekBozkurt, NurgulSeker, UmmuhanOguzulgen, Ipek KivilcimBasyigit, IlknurBaris, Serap ArgunUcar, Elif YilmazelErdogan, TubaPolatli, MehmetEdiger, DaneGunaydin, Fatma EsraPur, LeylaKatran, Zeynep YeginSekibag, YoncaAykac, Enes FurkanMungan, Dilsadasthmaasthma controleducation levelhousehold incomeilliteracynational databasesocial markerssocioeconomic statusbeta adrenergic receptor stimulating agentcorticosteroidlong acting beta agonistshort acting beta agonistunclassified drugadultage distributionArticleconfidence intervaldisease controldisease registryeducational statusemployment statusfemalehospitalizationhumanmajor clinical studymalemultivariate logistic regression analysisodds ratiorisk factorsocial statusBackground: Asthma is one of the most common causes of chronic respiratory disease, and countries with low socioeconomic status have both a high prevalence of asthma and asthma-related death. Objective: In this study, we aimed to determine socioeconomic levels of asthmatic patients according to a national database and investigate the effects of social markers on disease control in our region. Methods: This is an analysis of data from 2053 adult asthma patients from a multicentre chart study in Turkey. Socioeconomic status (SES) data were collected from questionnaires and this form was sent to the patients via e-mail. Parameters related to social status and poor disease control were analyzed. Results: Illiteracy (OR:2.687 [95% CI: 1.235–5.848]; p = 0.013) and lower household income (OR:1,76 [95% CI: 1.002–3.09]; p = 0.049) were found as independent risk factors for hospitalization in the multivariate logistic regression analysis. Therewithal, being aged between 40 and 60 (OR: 1.435 [95% CI: 1.074–1.917]; p = 0.015), illiteracy (OR: 2.188 [95% CI: 1.262–3.795]; p = 0.005) and being employed (OR: 1.466 [95% CI: 1.085–1.847]; p = 0.011) were considered as independent risk factors for systemic corticosteroid use at least 3 days within last 1 year. Conclusion: As a result of our national database, education level, household income and working status briefly socioeconomic status have impacts on asthma control. Identification of social markers in asthma and better recognition of risk factors based on the population gives us clues to provide better asthma control in the future. © 2025 The Author(s). Clinical and Translational Allergy published by John Wiley & Sons Ltd on behalf of European Academy of Allergy and Clinical Immunology.John Wiley and Sons Inc2025Articlehttps://rdlopen.rawdatalibrary.net/r/ebyu/11069https://doi.org/10.1002/clt2.700182045-7022enClinical and Translational Allergyinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://ebyu-rdlopen.rawdatalibrary.net/tr/items/ebyu/11069