Predicting health-related quality of life in Spanish adolescents with allergic rhinoconjunctivitis and bronchial asthma
release_ogbubbwtc5e3najhw6wt4gwufq
by
Laura Lacomba-Trejo,
Selene Valero-Moreno,
Inmaculada Montoya Castilla,
Marián Pérez-Marín
2021 p1-13
Abstract
This study analyzed the predictive power of sociodemographic (age, sex) and medical variables (months since diagnosis and in treatment, immunotherapy, number of environmental allergens, food allergies or atopic dermatitistypes) on the quality of life of patients with rhinoconjunctivitis and bronchial asthma, using models based on comparative qualitative fuzzy analysis to compare them according to the pathology(s).Retrospective cross-sectional design.Sixty-four adolescents (65.60% boys) diagnosed with rhinoconjunctivitis and/or bronchial asthma aged between 12 and 16 years old (M= 14.02; SD = 1.45).The data were collected between February 2019 and January 2020 using the Brief Disease Perception Questionnaire (B-IPQ), the Adolescent Rhinoconjunctivitis Quality of Life Questionnaire (AdolRQoLQ) and the Respiratory Disease Questionnaire Self-administered and Standardized Chronicle (CRQ-SAS). Qualitative comparative analysis models (QCA) were used.In the QCA models, the various combinations indicated that the variables that predicted a higher quality of life for both rhinocojuntivitis symptoms and respiratory symptoms were receiving longer-term immunotherapy and a perceived lower threat of the disease. The consistencies of the models vary between 23-29%. In conclusion, the patients' QoL was explained by the presence of longer-term immunotherapy and a less threatening perception of the disease.Therefore, early multidisciplinary diagnosis and treatment is important.
In text/plain
format
Archived Files and Locations
application/pdf
1.1 MB
file_kl6fnuvvobdlpjkzqkokocvkvu
|
roderic.uv.es (web) web.archive.org (webarchive) |
access all versions, variants, and formats of this works (eg, pre-prints)
Crossref Metadata (via API)
Worldcat
SHERPA/RoMEO (journal policies)
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar