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. 2016 Jul-Aug;18(83):167–177. doi: 10.4103/1463-1741.189241

Table S1.

Methodological quality checklist

1. Design
a. Cohort (4)
b. Case-control (3)
c. Cross-sectional (2)
d. Using aggregated data (1)
2. Timeframe
a. Reported (0.5)
b. Unknown (0)
3. Country where the study was carried out
a. With good working and living conditions AND/OR high socio-economic standard (2)
b. Difficult conditions AND/OR lower socio-economic standard (1.5)
c. Very difficult conditions AND/OR very low socioeconomic standard (1)
d. Unknown (0)
4. Mode of selection
a. Random AND/OR considerable part OR the whole target population (3)
b. Non-random OR unknown (0)
5. Response rate
a. ≥80% OR, if not reported, considerable part of the target population (3)
b. 60–80% (1)
c. <60% OR unknown (0)
6. Final sample size
a. Completely satisfactory AND/OR justified by power analysis OR total population (3)
b. Somewhat satisfactory AND no statistical justification (1)
c. Not satisfactory AND no statistical justification (0)
7. Participants
a. Clearly described (1)
b. Ambiguous description OR unknown (0)
8. Representativeness of the sample
a. Representative of the population/whole population (3)
b. Somewhat representative (1)
c. Not representative/unknown (0)
9. Definition and assessment of ischemic heart disease/myocardial infarction
a. Official WHO diagnostic criteria/official registry/database/records/physician-diagnosed (3)
b. Self-reported (1)
10. Assessment of noise exposure
a. Long term personal dosimetry/at-site measurement (3)
b. Job-exposure matrix/hygienists assessment (2)
c. Self-report noisiness/vocal effort (1)
d. Unknown method (0)
11. Biological plausibility for ischemic heart disease/myocardial infarction given the overall noise exposure and the compared noise exposure categories
a. Plausible (1.5)
b. Speculative (0.5)
c. Unplausible/unknown (0)
12. Adjustments for personal covariates
a. All/almost all of the relevant covariates (age, smoking, dyslipidemia, abdominal obesity, diabetes, history of hypertension, psychosocial factors, unhealthy diet, regular
alcohol consumption, irregular physical activity) (5)
b. Some of the covariates (2)
c. No adjustments OR none of the above included (0)
13. Adjustments for environmental covariates
a. Other occupational AND residential risks (eg, air pollution, chemicals, noise, shift work, etc) (4)
b. Other occupation OR residential risks (2)
c. No adjustments (0)
14. Effect size calculation for meta-analysis
a. No transformations AND no data imputation OR transformations not creating bias (3)
b. Transformations creating bias OR data imputation (1)
c. Transformations creating bias AND data imputation (0)
15. Additional transformations/imputation to the data AND/OR other source of bias associated with data extraction/interpretation
a. None (3)
b. Creating minor bias (1)
c. Major source of bias (0)