Table 2. Risk of bias.
Potential cause of bias | Optimal characteristics of an unbiased study | Risk of bias | ||||||||
Bara 2009 (18) |
Berthelsen 2015 (25) Flo 2014 (24) Thun 2014 (21) |
Bildt 2002 (17) |
Bohle 1989 (16) |
d‘Errico 2010 (19) |
Driesen 2001 (20) |
Lin 2012 (22) |
Nabe-Nielsen 2011 (26) |
Norder 2015 (23) |
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1. Study participants | Study participants are representative of the study population on which the conclusion is to be drawn. | Low | Medium | Low | Medium | Medium | Low | Medium | Low | Low |
2. Loss of study participants | The available study data, i.e. data on the study participants not lost to follow-up, is representative of all the original study participants. | Medium | Medium | Medium | Not stated | High | Medium | Medium | Medium | Low |
3. Measurement of cause variable | Shift work was recorded in a valid way, and equally for all participants. | Low | Low | Low | Low | Medium | Low | Low | Low | Low |
4. Measurement of target parameter | Depression was recorded in a valid way, and equally for all participants. | Low | Low | Low | Low | Low | Low | Low | Low | Low |
5. Adjustment for confounding factors | Major confounding variables were appropriately adjusted for. | Low | Low | Low | Low | Low | Low | Low | Low | Medium |
6. Statistical analysis and reporting of findings | Statistical analysis is appropriate, and all primary target parameters are reported. | Low | Low | Low | Low | Low | Low | Low | Medium | Low |
Cause 1: Risk was classified as low if the participation rate was at least 80% or nonparticipation was not selective.
Cause 2: Risk was classified as low if the number of participants at short-term (<1 year) follow-up was at least 80% of the number at baseline, or if the number at long-term (= 1 year) follow-up was 70% of the number at baseline, or if there was information to the effect that there were no differences between participants and those lost to follow-up that might lead to selection.