Pregnancy and childhood exposure to residential traffic noise and overweight at 7 years of age

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Background: Exposure to road traffic noise has been associated with adiposity and diabetes in adults. The suggested
pathways have been through sleep disturbance and stress. Children may be particularly susceptible to
noise induced sleep disturbance and stress and the effects hereof.
Objectives: To examine the association between traffic noise exposure during pregnancy and early childhood and
adiposity in children.
Methods: We identified 40,974 singletons from the Danish National Birth Cohort with parentally given questionnaire
information on weight and height at 7-years of age. Road and railway traffic noise were modeled at all historical
addresses and expressed as time-weighted means for two exposure periods (pregnancy and childhood).
Adiposity was assessed using BMI z-scores and a dichotomous measure of childhood overweight based on age
and sex specific cut-offs. Associations were analyzed using linear regression for BMI z-scores and logistic regression
for risk of childhood overweight, adjusting for socioeconomic position, maternal BMI, maternal smoking,
maternal age, parity and degree of urbanization.
Results: We found both pregnancy and childhood exposure to road traffic noise to be associated with a higher risk
for childhood overweight (odds ratio (OR)= 1.06 per 10 dB, 95% confidence interval (CI): 1.00–1.12 for exposure
during pregnancy and OR = 1.06 per 10 dB, 95% CI: 0.99–1.12 for childhood exposure). There were no associations
between road traffic noise and BMI z-scores. We found no associations between railway noise and adiposity.
Conclusions: We found suggestions of a positive association between road traffic noise and risk of overweight in
7-years old children.
Original languageEnglish
JournalEnvironment International
Volume94
Issue number9
Pages (from-to)170-176
Number of pages7
ISSN0160-4120
DOIs
Publication statusPublished - Sep 2016

    Research areas

  • Overweight, Adolescence, BMI, Traffic noise

ID: 166939026