TY - JOUR
T1 - Road Traffic and Railway Noise Exposures and Adiposity in Adults
T2 - A Cross-Sectional Analysis of the Danish Diet, Cancer, and Health Cohort
AU - Christensen, Jeppe Schultz
AU - Raaschou-Nielsen, Ole
AU - Tjønneland, Anne
AU - Overvad, Kim
AU - Nordsborg, Rikke B
AU - Ketzel, Matthias
AU - Sørensen, Thorkild Ia
AU - Sørensen, Mette
PY - 2016/3
Y1 - 2016/3
N2 - BACKGROUND: Traffic noise has been associated with cardiovascular and metabolic disorders. Potential modes of action are through stress and sleep disturbance, which may lead to endocrine dysregulation and overweight.OBJECTIVES: We aimed to investigate the relationship between residential traffic and railway noise and adiposity.METHODS: In this cross-sectional study of 57,053 middle-aged people, height, weight, waist circumference, and bioelectrical impedance were measured at enrollment (1993-1997). Body mass index (BMI), body fat mass index (BFMI), and lean body mass index (LBMI) were calculated. Residential exposure to road and railway traffic noise exposure was calculated using the Nordic prediction method. Associations between traffic noise and anthropometric measures at enrollment were analyzed using general linear models and logistic regression adjusted for demographic and lifestyle factors.RESULTS: Linear regression models adjusted for age, sex, and socioeconomic factors showed that 5-year mean road traffic noise exposure preceding enrollment was associated with a 0.35-cm wider waist circumference (95% CI: 0.21, 0.50) and a 0.18-point higher BMI (95% CI: 0.12, 0.23) per 10 dB. Small, significant increases were also found for BFMI and LBMI. All associations followed linear exposure-response relationships. Exposure to railway noise was not linearly associated with adiposity measures. However, exposure > 60 dB was associated with a 0.71-cm wider waist circumference (95% CI: 0.23, 1.19) and a 0.19-point higher BMI (95% CI: 0.0072, 0.37) compared with unexposed participants (0-20 dB).CONCLUSIONS: The present study finds positive associations between residential exposure to road traffic and railway noise and adiposity.
AB - BACKGROUND: Traffic noise has been associated with cardiovascular and metabolic disorders. Potential modes of action are through stress and sleep disturbance, which may lead to endocrine dysregulation and overweight.OBJECTIVES: We aimed to investigate the relationship between residential traffic and railway noise and adiposity.METHODS: In this cross-sectional study of 57,053 middle-aged people, height, weight, waist circumference, and bioelectrical impedance were measured at enrollment (1993-1997). Body mass index (BMI), body fat mass index (BFMI), and lean body mass index (LBMI) were calculated. Residential exposure to road and railway traffic noise exposure was calculated using the Nordic prediction method. Associations between traffic noise and anthropometric measures at enrollment were analyzed using general linear models and logistic regression adjusted for demographic and lifestyle factors.RESULTS: Linear regression models adjusted for age, sex, and socioeconomic factors showed that 5-year mean road traffic noise exposure preceding enrollment was associated with a 0.35-cm wider waist circumference (95% CI: 0.21, 0.50) and a 0.18-point higher BMI (95% CI: 0.12, 0.23) per 10 dB. Small, significant increases were also found for BFMI and LBMI. All associations followed linear exposure-response relationships. Exposure to railway noise was not linearly associated with adiposity measures. However, exposure > 60 dB was associated with a 0.71-cm wider waist circumference (95% CI: 0.23, 1.19) and a 0.19-point higher BMI (95% CI: 0.0072, 0.37) compared with unexposed participants (0-20 dB).CONCLUSIONS: The present study finds positive associations between residential exposure to road traffic and railway noise and adiposity.
KW - Journal Article
KW - Research Support, Non-U.S. Gov't
U2 - 10.1289/ehp.1409052
DO - 10.1289/ehp.1409052
M3 - Journal article
C2 - 26241990
VL - 124
SP - 329
EP - 335
JO - Environmental Health Perspectives
JF - Environmental Health Perspectives
SN - 0091-6765
IS - 3
ER -