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. 2020 Aug 29;35(10):925–935. doi: 10.1007/s10654-020-00679-4

Table 2.

Predictors for the no. of biopsy reports

Predictors for biopsy reports Model 1 Model 2
IRR 95% CI IRR 95% CI
Age (per decade) 1.15 [1.08; 1.23] 1.16 [1.09; 1.23]
Sex (male vs. female) 0.73 [0.63; 0.84] 0.73 [0.63; 0.85]
Education (years, reference: 10y)
 < 10y 0.99 [0.81; 1.20] 0.99 [0.82; 1.2]
 > 10y 0.99 [0.83; 1.17] 0.99 [0.84; 1.17]
Employed (yes vs. no) 0.92 [0.77; 1.11] 0.93 [0.77; 1.11]
Relationship status (reference: single)
 Married 1.04 [0.80; 1.35] 1.03 [0.79; 1.34]
 Divorced 0.94 [0.65; 1.35] 0.92 [0.64; 1.33]
 Widowed 1.17 [0.79; 1.75] 1.16 [0.77; 1.73]
Hospitalized in last 12 months (yes vs. no) 3.45 [3.01; 3.96] 3.45 [3.01; 3.96]
Known cancer history (yes vs. no) 2.89 [2.28; 3.67] 2.89 [2.28; 3.67]
Time-varying measures
 Disclosure of lab anomaly (yes vs. no) 1.37 [1.12; 1.67] 1.37 [1.12; 1.66]
 Disclosure of MRI IF (yes vs. no) 2.17 [1.76; 2.68] 2.32 [1.85; 2.89]
 Time (post-SHIP vs. pre-SHIP) 1.29 [1.07; 1.55] 1.30 [1.08; 1.56]

Results from GEE with a negative binomial distribution shown as incidence-rate-ratios (IRR). In model 2 only IFs from MRI with tumor relevance were used

GEE with a negative binomial distribution calculated in n = 6593 participants due to missing data in covariates