Longitudinal Asthma Patterns in Italian Adult General Population Samples: Host and Environmental Risk Factors.
asthma
cohort
comorbidities
epidemiology
latent transition analysis
smoke
vehicular traffic
Journal
Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588
Informations de publication
Date de publication:
11 Nov 2020
11 Nov 2020
Historique:
received:
28
09
2020
revised:
06
11
2020
accepted:
09
11
2020
entrez:
14
11
2020
pubmed:
15
11
2020
medline:
15
11
2020
Statut:
epublish
Résumé
Asthma patterns are not well established in epidemiological studies. To assess asthma patterns and risk factors in an adult general population sample. 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. 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). 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.
Sections du résumé
BACKGROUND
BACKGROUND
Asthma patterns are not well established in epidemiological studies.
AIM
OBJECTIVE
To assess asthma patterns and risk factors in an adult general population sample.
METHODS
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
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
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.
Identifiants
pubmed: 33187300
pii: jcm9113632
doi: 10.3390/jcm9113632
pmc: PMC7696248
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Italian Electric Power Authority
ID : 'Interaction of Energy Systems with Human Health and Environment' Project (1989)
Organisme : Italian National Research Council
ID : Targeted Project 'Prevention and Control Disease Factors-SP 2' (Contract N°. 91.00171.PF41; 1991)
Organisme : Italian Medicines Agency
ID : Contract N°. FARM8YRYZC; 2010
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