ArticleAnnals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology2012
Using latent class growth analysis to identify childhood wheeze phenotypes in an urban birth cohort.
Article in Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Maternal exposure to smoking and wheezing phenotypes in children: a cohort study of the Japan Environment and Children's Study.BMC pediatrics · 2024Article
- Trajectory analysis of rhinitis in a birth cohort from lower-income New York City neighborhoods.The Journal of allergy and clinical immunology · 2024Article
- Clinical predictors of wheeze trajectories and associations with allergy in Asian children.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2023Article
- Endotype of allergic asthma with airway obstruction in urban children.The Journal of allergy and clinical immunology · 2021Article
- Article
- Chromosome 17q12-21 Variants Are Associated with Multiple Wheezing Phenotypes in Childhood.American journal of respiratory and critical care medicine · 2021Article
- Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease.International journal of medical sciences · 2021Review
- Characterization of longitudinal wheeze phenotypes from infancy to adolescence in Project Viva, a prebirth cohort study.The Journal of allergy and clinical immunology · 2020Article
- Home environment: respiratory and allergic phenotypes from birth to age six in the PELAGIE cohort.NPJ primary care respiratory medicine · 2019Article
- Causes of variability in latent phenotypes of childhood wheeze.The Journal of allergy and clinical immunology · 2019Article
- Phenotypes of wheezing and asthma in preschool children.Current opinion in allergy and clinical immunology · 2019Review
- Temporal trends and developmental patterns of plasma polybrominated diphenyl ether concentrations over a 15-year period between 1998 and 2013.Journal of exposure science & environmental epidemiology · 2019Article
- Classification of Pediatric Asthma: From Phenotype Discovery to Clinical Practice.Frontiers in pediatrics · 2018Review
- Article
- Sex-specific risk factors for childhood wheeze and longitudinal phenotypes of wheeze.The Journal of allergy and clinical immunology · 2016Article
- Allergic sensitization patterns identified through latent class analysis among children with and without asthma.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2016Article
- Distinguishing Asthma Phenotypes Using Machine Learning Approaches.Current allergy and asthma reports · 2015Review
- Birth weight and asthma incidence by asthma phenotype pattern in a racially diverse cohort followed through adolescence.The Journal of asthma : official journal of the Association for the Care of Asthma · 2015Article
- Validation of novel wheeze phenotypes using longitudinal airway function and atopic sensitization data in the first 6 years of life: evidence from the Southampton Women's survey.Pediatric pulmonology · 2013Article
- Children's urinary phthalate metabolites and fractional exhaled nitric oxide in an urban cohort.American journal of respiratory and critical care medicine · 2012Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundTo advance asthma cohort research, we need a method that can use longitudinal data, including when collected at irregular intervals, to model multiple phenotypes of wheeze and identify both time-invariant (eg, sex) and time-varying (eg, environmental exposure) risk factors.
objectiveTo demonstrate the use of latent class growth analysis (LCGA) in defining phenotypes of wheeze and examining the effects of causative factors, using repeated questionnaires in an urban birth cohort study.
methodsWe gathered repeat questionnaire data on wheeze from 689 children ages 3 through 108 months (n = 7,048 questionnaires) and used LCGA to identify wheeze phenotypes and model the effects of time-invariant (maternal asthma, ethnicity, prenatal environmental tobacco smoke, and child sex) and time-varying (cold/influenza [flu] season) risk factors on prevalence of wheeze in each phenotype.
resultsLCGA identified four wheezing phenotypes: never/infrequent (47.1%), early-transient (37.5%), early-persistent (7.6%), and late-onset (7.8%). Compared with children in the never/infrequent phenotype, maternal asthma was a risk factor for the other 3 phenotypes; Dominican versus African American ethnicity was a risk factor for the early-transient phenotype; and male sex was a risk factor for the early-persistent phenotype. The prevalence of wheeze was higher during the cold/flu season than otherwise among children in the early-persistent phenotype (P = .08).
conclusionThis is the first application of LCGA to identify wheeze phenotypes in asthma research. Unlike other methods, this modeling technique can accommodate questionnaire data collected at irregularly spaced age intervals and can simultaneously identify multiple trajectories of health outcomes and associations with time-invariant and time-varying causative factors.
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