Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015 Nov-Dec;25(6):580-92.
doi: 10.1038/jes.2015.7. Epub 2015 Mar 25.

The Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort study: assessment of environmental exposures

Collaborators, Affiliations

The Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort study: assessment of environmental exposures

Tim K Takaro et al. J Expo Sci Environ Epidemiol. 2015 Nov-Dec.

Abstract

The Canadian Healthy Infant Longitudinal Development birth cohort was designed to elucidate interactions between environment and genetics underlying development of asthma and allergy. Over 3600 pregnant mothers were recruited from the general population in four provinces with diverse environments. The child is followed to age 5 years, with prospective characterization of diverse exposures during this critical period. Key exposure domains include indoor and outdoor air pollutants, inhalation, ingestion and dermal uptake of chemicals, mold, dampness, biological allergens, pets and pests, housing structure, and living behavior, together with infections, nutrition, psychosocial environment, and medications. Assessments of early life exposures are focused on those linked to inflammatory responses driven by the acquired and innate immune systems. Mothers complete extensive environmental questionnaires including time-activity behavior at recruitment and when the child is 3, 6, 12, 24, 30, 36, 48, and 60 months old. House dust collected during a thorough home assessment at 3-4 months, and biological specimens obtained for multiple exposure-related measurements, are archived for analyses. Geo-locations of homes and daycares and land-use regression for estimating traffic-related air pollution complement time-activity-behavior data to provide comprehensive individual exposure profiles. Several analytical frameworks are proposed to address the many interacting exposure variables and potential issues of co-linearity in this complex data set.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Interacting risk factors measured in the CHILD study, including multiple environmental, infective, nutritional and psychosocial exposures; genetics; lung function; and microbiome, resulting in immunological and clinical phenotypic outcomes.
Figure 2
Figure 2
Temporally adjusted (bi-weekly averages) estimates of Land-use Regression (LUR) derived NO2 in the four participating cities (dotted lines represent the mean, the box plots bars show the 25th, median, and 75th percentiles).

References

    1. 1Eder W, Ege MJ, von Mutius E. The asthma epidemic. N Engl J Med 2006; 355: 2226–2235. - PubMed
    1. 2Wang HY, Wong GW, Chen YZ, Ferguson AC, Greene JM, Ma Y et al. Prevalence of asthma among Chinese adolescents living in Canada and in China. CMAJ 2008; 179: 1133–1142. - PMC - PubMed
    1. 3Subbarao P, Anand SS, Becker AB, Befus AD, Brauer M, Brook JR et al. The Canadian Healthy Infant Longitudinal Development (CHILD) Study: examining developmental origins of asthma and allergy. J Allergy Clin Immunol, (in review). - PubMed
    1. 4Martino D, Prescott S. Epigenetics and prenatal influences on asthma and allergic airways disease. Chest 2011; 139: 640–647. - PubMed
    1. 5Kauffmann F, Demenais F. Gene-environment interactions in asthma and allergic diseases: challenges and perspectives. J Allergy Clin Immunol 2012; 130: 1229–1240. - PubMed

Publication types

MeSH terms