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. 2009 Sep 10:8:38.
doi: 10.1186/1476-069X-8-38.

Road traffic noise and hypertension: results from a cross-sectional public health survey in southern Sweden

Theo Bodin  1 , Maria Albin, Jonas Ardö, Emilie Stroh, Per-Olof Ostergren, Jonas Björk
Affiliations

Road traffic noise and hypertension: results from a cross-sectional public health survey in southern Sweden

Theo Bodin et al. Environ Health. .

Abstract

Background: Results from studies of road traffic noise and hypertension are heterogeneous with respect to effect size, effects among males and females and with respect to effects across age groups. Our objective was to further explore these associations.

Methods: The study used cross-sectional public health survey data from southern Sweden, including 24,238 adults (18 - 80 years old). We used a geographic information system (GIS) to assess the average road noise (LAeq 24 hr) at the current residential address. Effects on self-reported hypertension were estimated by logistic regression with adjustment for age, sex, BMI, alcohol intake, exercise, education, smoking and socioeconomic status.

Results: Modest exposure effects (OR approximately 1.1) were generally noted in intermediate exposure categories (45 -64 dB(A)), and with no obvious trend. The effect was more pronounced at > 64 dB(A) (OR 1.45, 95% CI 1.04 - 2.02). Age modified the relative effect (p = 0.018). An effect was seen among middle-aged (40 - 59 years old) at noise levels 60 - 64 dB(A) (OR = 1.27, 95% CI 1.02 - 1.58)) and at > 64 dB(A) (OR = 1.91, 95% CI 1.19 - 3.06)). An effect was also indicated among younger adults but not among elderly. No apparent effect modification by gender, country of origin, disturbed sleep or strained economy was noted.

Conclusion: The study supports an association between road traffic noise at high average levels and self-reported hypertension in middle-aged. Future studies should use age group -specific relative effect models to account for differences in prevalence.

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Figures

Figure 1
Figure 1
Flowchart describing study population reduction through the different steps of inclusion and exclusion.
Figure 2
Figure 2
Bars showing proportion and level of self-reported disturbance at home due to road traffic noise (x-axis) at different levels of noise exposure in our model (y-axis).
Figure 3
Figure 3
Fully adjusted odds ratios and 95% confidence intervals of hypertension associated to a estimated 5 dB(A) increase in traffic noise by age, sex, country of birth, sleeping and resting problems due to traffic noise, difficulties paying bills and number of years living in the same residence. The subgroup-specific effect estimates were obtained by fitting a fully adjusted (see Methods) logistic regression model to each subgroup separately.
See this image and copyright information in PMC

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