Table 4 Prospective association analysis between source-specific noise annoyance and incident CVD at 10-year follow-up.

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

5335

1.01 [0.90; 1.13]

0.85

 Aircraft

5333

1.05 [0.96; 1.14]

0.28

 Railway

5326

1.10 [0.93; 1.28]

0.25

 Industrial

5324

1.11 [0.94; 1.29]

0.18

 Neighborhood

5330

1.00 [0.88; 1.13]

0.97

During Sleep

 Road traffic

5324

1.05 [0.89; 1.22]

0.55

 Aircraft

5325

1.05 [0.96; 1.15]

0.28

 Railway

5322

1.10 [0.90; 1.33]

0.32

 Industrial

5321

1.01 [0.66; 1.41]

0.98

 Neighborhood

5324

0.92 [0.76; 1.09]

0.35

Overall

 Road traffic

5335

1.00 [0.90; 1.12]

0.94

 Aircraft

5334

1.05 [0.96; 1.14]

0.27

 Railway

5328

1.08 [0.92; 1.25]

0.31

 Industrial

5329

1.10 [0.94; 1.28]

0.22

Neighborhood

5330

0.96 [0.85; 1.08]

0.52

  1. Odds ratios (OR) and 95% confidence intervals (CI) are derived from a logistic regression model modeling for incident 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).
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