Table 2.
Meta-analyses of circadian disruption and incident breast cancer risk.
Citation | Number of studies | Study Types | Predictor Variables | Overall Odds Ratio (OR) or Relative Risk (RR) |
---|---|---|---|---|
Koppes et al. (2014) | 6 | 4 cohort, 2 case-control | NSW | 1.48 (95% Cl = 1.36–1.61) |
Megdal et al. (2005) | 13 | 5 cohort, 8 case-control | NSW | 1.20 (95% Cl = 1.08–1.33) |
Kamdar et al. (2013) | 10 | 3 cohort, 5 case-control | NSW | 1.19 (95% Cl = 1.05–1.35) |
Wang et al. (2013) | 12 | 1 cohort, 11 case-control | NSW | 1.05 (95% Cl = 1.01–1.10) for 5-year NSW |
Jia et al. (2013) | 15 | 5 cohort, 10 case-control | NSW | 1.21 (95% Cl = 1.00–1.47) |
Ijaz et al. (2013) | 5 | 5 case-control | LAN exposure | LAN: 1.17 (95% Cl = 1.11–1.24) |
He et al. (2015a) | 18 (n = 12 NSW; n = 3 LAN; n = 3 NSW and LAN) | NSW: 5 cohort, 7 case-control; LAN: 3 case-control; both: 3 case-control | NSW; LAN exposure; both | NSW: 1.19 (95% Cl = 1.08–1.32); LAN: 1.12 (95% Cl = 1.119–1.121) |
Yang et al. (2014) | 6 | 6 cohort | NSW | 1.057 (95% Cl = 1.014–1.102) |
Travis et al. (2016) | 10 | 3 prospective, 7 cohort | NSW | 0.99 (95% Cl = 0.95–1.03) |
Note: NSW = night shift work; LAN = light at night.