Points | |
---|---|
Sampling and representativeness | |
1. Sampling method | |
A. Nonprobability sampling (including purposive, quota, convenience and snowball sampling) | 0 |
B. Probability sampling (including simple random, systematic, stratified g, cluster, two-stage and multi-stage sampling) or registry (i.e., full sample/all workers) | 1 |
2. Was the response rate reported? | |
A. Not reported | 0 |
B. Response rate below 50% | 0 |
C. Response rate at 50% or above | 1 |
3. Are the individuals selected to participate in the study likely to be representative of the target population? | |
A. No | 0 |
B. Yes | 1 |
4. Selection bias: Is there a risk of selection bias caused by the inadequate selection of participants? | |
A. High risk | 0 |
B. Low risk | 1 |
5. Is the sample size adequate for establishing relationships (assumption of statistical power)? | |
A. No | 0 |
B. Yes | 1 |
Measurement and confounders | |
6. How was working time assessed? | |
A. Self-report | 0 |
B. Objective data (including registries and payroll records) | 1 |
7. How was sickness absence assessed? | |
A. Self-report | 0 |
B. Objective data (including registries and payroll records) | 1 |
8. Performance bias: Is there a risk of bias caused by the inadequate measurement of exposure? | |
A. High risk | 0 |
B. Low risk | 1 |
9. Are the statistical methods appropriate for the study design? | |
A. No/Can’t tell | 0 |
B. Yes | 1 |
10. Were meaningful demographic covariates included? | |
A. No | 0 |
B. Yes | 1 |
11. Were other work factors adjusted for? | |
A. No | 0 |
B. Yes | 1 |
12. Is the study design cross-sectional or prospective (with time-lag)? | |
A. Cross-sectional | 0 |
B. Prospective | 1 |
13. Was previous sickness absence adjusted for in prospective analyses? | |
A. No | 0 |
B. Yes | 1 |
14. Confounder bias: Is there a risk of bias caused by the inadequate confirmation and consideration of confounding variable? | |
A. High risk | 0 |
B. Low risk | 1 |