Exposure to different residential indoor characteristics during childhood and asthma in adolescence: a latent class analysis of the Danish National Birth Cohort.

Asthma Danish National Birth Cohort Environmental epidemiology Home characteristics Indoor air pollution

Journal

European journal of epidemiology
ISSN: 1573-7284
Titre abrégé: Eur J Epidemiol
Pays: Netherlands
ID NLM: 8508062

Informations de publication

Date de publication:
21 Oct 2023
Historique:
received: 09 12 2022
accepted: 11 09 2023
medline: 22 10 2023
pubmed: 22 10 2023
entrez: 21 10 2023
Statut: aheadofprint

Résumé

Many residential indoor environments may have an impact on children's respiratory health. The aims of this study were to identify latent classes of children from the Danish National Birth Cohort (DNBC) who share similar patterns of exposure to indoor home characteristics, and to examine the association between membership in the latent classes and asthma in adolescence. We included data on residential indoor characteristics of offspring from the DNBC whose mothers had responded to the child's 11-year follow-up and who had data on asthma from the 18-year follow-up. Number of classes and associations were estimated using latent class analysis. To account for sample selection, we applied inverse probability weighting. Our final model included five latent classes. The probability of current asthma at 18 years was highest among individuals in class one with higher clustering on household dampness (9, 95%CI 0.06-0.13). Individuals in class four (with higher clustering on pets ownership and living in a farm) had a lower risk of current asthma at age 18 compared to individuals in class one (with higher clustering on household dampness) (OR 0.53 (95%CI 0.32-0.88), p = .01). Our findings suggest that, in a high-income country such as Denmark, groups of adolescents growing up in homes with mold and moisture during mid-childhood might be at increased risk of current asthma at age 18. Adolescents who grew-up in a farmhouse and who were exposed to pets seem less likely to suffer from asthma by age 18.

Sections du résumé

BACKGROUND BACKGROUND
Many residential indoor environments may have an impact on children's respiratory health.
OBJECTIVES OBJECTIVE
The aims of this study were to identify latent classes of children from the Danish National Birth Cohort (DNBC) who share similar patterns of exposure to indoor home characteristics, and to examine the association between membership in the latent classes and asthma in adolescence.
METHODS METHODS
We included data on residential indoor characteristics of offspring from the DNBC whose mothers had responded to the child's 11-year follow-up and who had data on asthma from the 18-year follow-up. Number of classes and associations were estimated using latent class analysis. To account for sample selection, we applied inverse probability weighting.
RESULTS RESULTS
Our final model included five latent classes. The probability of current asthma at 18 years was highest among individuals in class one with higher clustering on household dampness (9, 95%CI 0.06-0.13). Individuals in class four (with higher clustering on pets ownership and living in a farm) had a lower risk of current asthma at age 18 compared to individuals in class one (with higher clustering on household dampness) (OR 0.53 (95%CI 0.32-0.88), p = .01).
CONCLUSION CONCLUSIONS
Our findings suggest that, in a high-income country such as Denmark, groups of adolescents growing up in homes with mold and moisture during mid-childhood might be at increased risk of current asthma at age 18. Adolescents who grew-up in a farmhouse and who were exposed to pets seem less likely to suffer from asthma by age 18.

Identifiants

pubmed: 37865616
doi: 10.1007/s10654-023-01051-y
pii: 10.1007/s10654-023-01051-y
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Realdania
ID : PRJ-2019-00020

Informations de copyright

© 2023. The Author(s).

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Auteurs

Amélie Keller (A)

Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark. amelie.keller@sund.ku.dk.

Jonathan Groot (J)

Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Clara Clippet-Jensen (C)

Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Angela Pinot de Moira (A)

Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
National Heart and Lung Institute, Imperial College, London, United Kingdom.

Marie Pedersen (M)

Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Torben Sigsgaard (T)

Environment, Work and Health, Department of Public Health, University of Aarhus, Aarhus, Denmark.

Steffen Loft (S)

Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Esben Budtz-Jørgensen (E)

Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Anne-Marie Nybo Andersen (AM)

Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Classifications MeSH