Background: Being overweight constitutes a health risk, and the proportion of overweight and obese children is increasing. It has been argued that road traffic noise could be linked to adiposity through its influence on sleep and stress. Few studies, to our knowledge, have investigated whether noise and adiposity are associated. Most of them were on adults, and we are not aware of any longitudinal study using repeated measures.
Objectives: The present longitudinal study investigated whether road traffic noise exposures in pregnancy (N = 6,963; obs = 22,975) or childhood (N = 6,403; obs = 14,585) were associated with body mass index (BMI) trajectories in children.
Methods: We obtained information on BMI and covariates from questionnaires used in the Norwegian Mother and Child Cohort Study, Statistics Norway, and Medical Birth Registry of Norway. We modeled road traffic noise for the most exposed façade of children's present and historical addresses at 6 time points from pregnancy to age 8. We investigated effects on BMI trajectories using repeated measures and linear mixed models.
Results: The results indicated that BMI curves depended on road traffic noise exposure during pregnancy, but not on exposure during childhood. Children in the highest decile of traffic noise exposure had increased BMI, with 0.35 kg/m more than children in the lowest decile, from birth to age 8 years.
Conclusions: The results indicate that exposure to road traffic noise during pregnancy may be associated with children's BMI trajectories. Future studies should investigate this further, using anthropometric measures such as waist-hip ratio and skinfold thickness, in addition to BMI.
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http://dx.doi.org/10.1097/EDE.0000000000000868 | DOI Listing |
Biol Lett
January 2025
Institute of Biology Leiden, Leiden University, Leiden, The Netherlands.
Noise pollution is on the rise worldwide. An unresolved issue regarding the mitigation of noise pollution is whether and at which timescales animals may adapt to noise pollution. Here, we tested whether continuous highway noise exposure perinatally and during juvenile development increased noise tolerance in a songbird, the zebra finch ().
View Article and Find Full Text PDFSensors (Basel)
December 2024
CARISSMA Institute of Electric, Connected and Secure Mobility, Technische Hochschule Ingolstadt, Esplanade 10, 85049 Ingolstadt, Germany.
Cooperative intelligent transportation systems continuously send self-referenced data about their current status in the Cooperative Awareness Message (CAM). Each CAM contains the current position of the vehicle based on GPS accuracy, which can have inaccuracies in the meter range. However, a high accuracy of the position data is crucial for many applications, such as electronic toll collection or the reconstruction of traffic accidents.
View Article and Find Full Text PDFBrain Sci
December 2024
Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-Naka, Okayama 700-8530, Japan.
Background: Auditory-tactile integration is an important research area in multisensory integration. Especially in special environments (e.g.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Department of Epidemiology and Statistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China. Electronic address:
Background: Environmental noise seriously affects people's health and life quality, but there is a scarcity of noise exposure data in metropolitan cities and at nighttime, especially in developing countries.
Objective: This study aimed to assess the environmental noise level by land use regression (LUR) models and create daytime and nighttime noise maps with high-resolution of Guangzhou municipality.
Methods: A total of 100 monitoring sites were randomly selected according to population density.
BMC Health Serv Res
January 2025
Center of Implementing Nursing Care Innovations Freiburg, Nursing Direction, Medical Center - University of Freiburg, Freiburg, Germany.
Background: The noise levels in intensive care units usually exceed the recommended limits in (inter)national recommendations. Such noise levels can affect both the recovery of intensive care patients and the performance of staff. The aim of this study was to reduce ward-based noise levels in three intensive care units (anesthesiological, neurological, and neonatological).
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