ArticleImmunity, inflammation and disease2026
Sex-Specific Differences in Symptomatology and Quality of Life Impact of Allergic Rhinitis: A Cross-Sectional Study.
Article in Immunity, inflammation and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundAllergic Rhinitis (AR) is a widespread condition that significantly affects the quality of life (QOL) of those affected globally. It contributes to sleep disturbances, fatigue, poor concentration, irritability, and can worsen symptoms in individuals with coexisting asthma. This study examines the impact of AR on QOL in adults, with specific attention to sex differences. MATERIALS AND
methodsA cross-sectional online survey using a purpose-designed, non-validated questionnaire was distributed via social media using convenience sampling to 1572 Jordanian adults. The questionnaire collected data on demographics, AR symptoms, triggers, and the impact of AR on mental health, social functioning, and daily life. Data were analyzed using descriptive statistics and Chi-square tests. Multivariable logistic regression was used to adjust for potential confounders, and Benjamini-Hochberg false discovery rate (FDR) correction was applied to account for multiplicity.
resultsA total of 1572 respondents participated; 683 (43.4%) had physician-diagnosed AR. AR was reported by 157/419 males (37.5%) and 526/1153 females (45.6%); this sex difference was statistically significant (χ
conclusionThese findings suggest AR's substantial impact on daily functioning and mental well-being, with signals of greater psychosocial burden among women. Improved understanding of sex-specific challenges can support more effective prevention, diagnosis, and management strategies, with tailored strategies to address the distinct symptom burden and QOL impairments experienced by female patients. These findings may provide preliminary insights into the burden of AR in Jordan and should be confirmed in representative, validated surveys.
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