1. Longitudinal Asthma Patterns in Italian Adult General Population Samples: Host and Environmental Risk Factors
- Author
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Maio, S., Baldacci, S., Simoni, M., Angino, A., La Grutta, S., Muggeo, V., Fasola, S., Viegi, G., Angino, AGAVE Sudy Group: A., Bresciani, M., Carrozzi, L., Cerrai, S., Martini, F., Pala, A. P., Pistelli, F., Sarno, G., and Silvi, P.
- Subjects
medicine.medical_specialty ,Population ,lcsh:Medicine ,comorbidities ,Article ,03 medical and health sciences ,0302 clinical medicine ,Environmental risk ,Internal medicine ,Epidemiology ,medicine ,030212 general & internal medicine ,education ,Asthma ,Multinomial logistic regression ,vehicular traffic ,education.field_of_study ,business.industry ,lcsh:R ,Asthma symptoms ,latent transition analysis ,General Medicine ,cohort ,asthma ,medicine.disease ,respiratory tract diseases ,030228 respiratory system ,smoke ,epidemiology ,Cohort ,Latent transition analysis ,business - Abstract
Background: Asthma patterns are not well established in epidemiological studies. Aim: To assess asthma patterns and risk factors in an adult general population sample. Methods: In total, 452 individuals reporting asthma symptoms/diagnosis in previous surveys participated in the AGAVE survey (2011–2014). Latent transition analysis (LTA) was performed to detect baseline and 12-month follow-up asthma phenotypes and longitudinal patterns. Risk factors associated with longitudinal patterns were assessed through multinomial logistic regression. Results: LTA detected four longitudinal patterns: persistent asthma diagnosis with symptoms, 27.2%, persistent asthma diagnosis without symptoms, 4.6%, persistent asthma symptoms without diagnosis, 44.0%, and ex -asthma, 24.1%. The longitudinal patterns were differently associated with asthma comorbidities. Persistent asthma diagnosis with symptoms showed associations with passive smoke (OR 2.64, 95% CI 1.10–6.33) and traffic exposure (OR 1.86, 95% CI 1.02–3.38), while persistent asthma symptoms (without diagnosis) with passive smoke (OR 3.28, 95% CI 1.41–7.66) and active smoke (OR 6.24, 95% CI 2.68–14.51). Conclusions: LTA identified three cross-sectional phenotypes and their four longitudinal patterns in a real-life setting. The results highlight the necessity of a careful monitoring of exposure to active/passive smoke and vehicular traffic, possible determinants of occurrence of asthma symptoms (with or without diagnosis). Such information could help affected patients and physicians in prevention and management strategies.
- Published
- 2020
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