Table 2 Cross-sectional association analysis between source-specific noise annoyance and prevalent CVD.

From: Noise annoyance and cardiovascular disease risk: results from a 10-year follow-up study

Noise annoyance

N

Model 3

OR per point increase [95% CI]

P value

During day

 Road traffic

13,784

1.05 [1.01; 1.10]

0.017

 Aircraft

13,778

1.03 [0.99; 1.07]

0.095

 Railway

13,766

1.05 [0.98; 1.12]

0.16

 Industrial

13,769

1.11 [1.05; 1.18]

0.00037

 Neighborhood

13,775

1.15 [1.10; 1.20]

< 0.0001

During Sleep

 Road traffic

13,747

1.15 [1.09; 1.22]

< 0.0001

 Aircraft

13,742

1.08 [1.04; 1.12]

< 0.0001

 Railway

13,735

1.15 [1.07; 1.24]

0.00024

 Industrial

13,735

1.12 [0.97; 1.27]

0.11

 Neighborhood

13,744

1.20 [1.13; 1.27]

< 0.0001

Overall

 Road traffic

13,784

1.08 [1.03; 1.12]

0.00037

 Aircraft

13,781

1.04 [1.01; 1.08]

0.010

 Railway

13,772

1.08 [1.02; 1.15]

0.010

 Industrial

13,774

1.12 [1.06; 1.19]

0.00015

Neighborhood

13,775

1.15 [1.11; 1.20]

< 0.0001

  1. Odds ratios (OR) and 95% confidence intervals (CI) are derived from a logistic regression model modeling for prevalent cardiovascular disease (CVD, composite variable comprising atrial fibrillation, coronary artery disease, myocardial infarction, stroke, chronic heart failure, peripheral artery disease, and venous thromboembolism per point increase in noise annoyance).
  2. N denotes model 3.
  3. Model 3 was adjusted for sex, age, socioeconomic status, night shift work, use of earplugs, years lived in residence, diabetes mellitus, arterial hypertension, smoking, obesity, dyslipidemia, family history of myocardial infarction or stroke, and medication use (diabetic drugs, antithrombotic agents, antihypertensives, diuretics, beta-blockers, calcium channel blocker, agents acting on the renin–angiotensin–aldosterone system, and lipid modifying agents).
  4. Significant values are in [bold].
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