Table 3 Demographic and socioeconomic predictors of follow-up colonoscopy, among participants with a positive FIT (n = 2018a).

From: Prospective Cohort study of Predictors of Follow-Up Diagnostic Colonoscopy from a Pragmatic Trial of FIT Screening

 

No. with Abnormal FIT

No. (%) colonoscopy documented

aRRb

95% CI

Age

50–64

1623

887 (54.7)

1.00

 

65–74

395

179 (45.3)

0.84

(0.74–0.94)

Gender

Male

961

552 (53.5)

1.00

 

Female

1057

514 (52.2)

1.02

(0.94–1.11)

Race

White

1670

901 (54.0)

1.00

 

Asian

184

89 (48.4)

0.94

(0.80–1.11)

African American

125

59 (47.2)

0.87

(0.72–1.06)

Pacific Islander

12

4 (33.3)

0.63

(0.28–1.40)

Native American

27

27 (48.1)

0.93

(0.63–1.38)

Hispanic

No

1869

972 (52.0)

1.0

 

Yes

149

94 (63.1)

1.19

(1.04–1.36)

Language

English

1658

866 (52.2)

1.0

 

Other

257

131 (51.0)

1.03

(0.90–1.18)

Spanish

103

69 (67.0)

1.30

(1.12–1.50)

Insurance status

Commercial

197

111 (56.3)

1.00

 

Medicaid

954

531 (55.7)

1.00

(0.87–1.15)

Medicare

528

250 (47.3)

0.89

(0.76–1.05)

Uninsured

339

174 (51.3)

0.94

(0.80–1.11)

Federal Poverty Level

200%+

230

269 (52.2)

1.00

 

100–200%

487

120 (55.2)

1.03

(0.88–1.19)

<100%

879

453 (51.5)

0.96

(0.84–1.11)

Unknown

422

224 (53.1)

0.97

(0.84–1.14)

Current tobacco use

No

1231

655 (53.2)

1.00

 

Yes

559

288 (51.5)

0.96

(0.87–1.05)

Obesity (BMI > = 30)

No

1091

581 (53.3)

1.00

 

Yes

927

485 (52.3)

0.97

(0.89–1.05)

Pap in past 3 years (women < 65yr)

No

436

225 (51.6)

1.00

 

Yes

394

222 (56.3)

1.07

(0.94–1.21)

Mammogram in past 2 years (women)

No

561

275 (49.0)

1.00

 

Yes

496

277 (55.8)

1.12

(1.00–1.26)

Flu shot in past year

No

1274

654 (51.3)

1.00

 

Yes

744

412 (55.4)

1.08

(1.00–1.18)

Number of office visits in past year

1–2

821

435 (53.0)

1.00

 

3–5

560

292 (52.1)

0.99

(0.89–1.09)

6+

637

339 (53.2)

1.01

(0.91–1.11)

  1. aNumber of participants is less the 2,018 for some predictors due to missing data
  2. bModel adjusted for age, sex, and health system.