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. 2020 Nov 19;8:532950. doi: 10.3389/fpubh.2020.532950

Table 2.

Univariate and multivariate analyses of variables associated with FOBT screening using logistic regression models, BCBSNE 2013–2015.

FOBT use in 2015
FOBT use No FOBT use P-value Univariate OR (95% CI) Multivariate OR (95% CI)
Age
  50–54 729 (29.0) 17,785 (32.0) 0.03 1.0 1.0
  55–59 891 (36.0) 20,056 (36.0) 1.08 (0.98, 1.20) 1.05 (0.95, 1.17)
  60–64 863 (35.0) 18,450 (33.0) 1.14 (1.03, 1.26) 1.08 (0.97, 1.19)
Gender
  Male 803 (32) 26,441 (47.0) <0.0001 1.0 1.0
  Female 1,680 (68) 29,850 (53.0) 1.85 (1.69, 2.04) 1.85 (1.69, 2.0)
Member status
  Urban 952 (38.0) 27,334 (49.0) <0.0001 1.0 1.0
  Rural 1,531 (62.0) 28,955 (51.0) 1.51 (1.41, 1.67) 1.56 (1.45, 1.69)
PCP visits in 2013–2014
  0 396 (16.0) 12,703 (23.0) <0.0001 1.0 1.0
  1–2 646 (26.0) 15,062 (27.0) 1.38 (1.21, 1.56) 1.37 (1.21, 1.56)
  3–5 733 (30.0) 14,796 (26.0) 1.59 (1.40, 1.80) 1.59 (1.40, 1.80)
  6–9 457 (18.0) 8,490 (15.0) 1.73 (1.50, 1.98) 1.71 (1.49, 1.96)
  ≥10 251 (10.0) 5,240 (9.0) 1.54 (1.31, 1.81) 1.49 (1.26, 1.75)
CCI in 2013–2014
  0 1,929 (78.0) 43,847 (78.0) 0.92 1.0 1.0
  1 373 (15.0) 7,299 (15.0) 1.02 (0.91, 1.14) 0.99 (0.87, 1.11)
  ≥2 181 (7.0) 4,145 (7.0) 0.99 (0.85, 1.16) 0.95 (0.81, 1.11)