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. 2018 Feb 22;15(2):379. doi: 10.3390/ijerph15020379

Table A43.

Summary of findings table for the association between road traffic noise exposure and the incidence of diabetes.

Question Does Exposure to Road Traffic Noise Increase the Risk of Diabetes
People Adult population (men and women)
Setting Residential setting: people living in cities in Denmark
Outcome The incidence of diabetes
Summary of findings RR per 10 dB increase in road traffic noise level (LDEN) 1.08 (95% CI: 1.02–1.14)
Number of participants (# studies) 57,053 (1)
Number of cases 2752
Rating Adjustment to rating
Quality assessment Starting rating 1 cohort # 4 (high)
Factors decreasing confidence Risk of bias Limited a No downgrading
Inconsistency NA b No downgrading
Indirectness None c No downgrading
Imprecision Limited d No downgrading
Publication bias NA e No downgrading
Factors increasing confidence Strength of association Small f No upgrading
Exposure-response gradient Evidence of a significant exposure-response gradient f Upgrading
Possible confounding No conclusions can be drawn g No upgrading
Overall judgement of quality of evidence 3 (moderate) h

# Since one cohort study is available, we started with a grading of “high” (4); a The quality of the study was judged as high; b Since only one study is available, this criterion is not applicable; c The study assessed population, exposure and outcome of interest; d We considered the results of the study to be precise: The number of cases was large, and the 95% CI was sufficiently narrow; e Since the results of only one study were available it was not possible to test for publication bias or small study bias; f The evaluated study found that the risk of diabetes increased when road traffic noise level increased (RR per 10 dB < 1). There was evidence of a significant exposure-response gradient: In the evaluated study a statistically significant RR of 1.08 per 10 dB across the noise range of 50–70 dB was found. This means that if the road traffic noise level increases from 50 to 70 dB, the RR = 1.17; g We were not able to draw any conclusions whether possible residual confounders or biases would reduce our effect estimate; h We graded the overall quality of the evidence to be “high” (4). Since only one study was available, we downgraded the overall level of evidence to “moderate” (3).