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Table 1 Participant baseline characteristics by baseline colonoscopy outcome

From: Advanced neoplasia in Veterans at screening colonoscopy using the National Cancer Institute Risk Assessment Tool

CharacteristicAll (N = 2934)AN (N = 313)No AN (N = 2621)Chi-Square p-value
Age – years
 50-59986 (33.6%)58 (18.5%)928 (35.4%)p < 0.0001
 60-691398 (47.7%)183 (58.5%)1215 (46.4%) 
 70-75550 (18.8%)72 (23.0%)478 (18.2%) 
Race
 White (Non-Hispanic)2493 (85.0%)273 (87.2%)2220 (84.7%)p = 0.29
 African-American (Non-Hispanic)285 (9.7%)22 (7.0%)263 (10.0%) 
 Hispanic132 (4.5%)14 (4.5%)118 (4.5%) 
 Asian-American24 (0.8%)4 (1.3%)20 (0.8%) 
Colorectal cancer in 1o relativea
 0 or unknown2526 (86.1%)256 (81.8%)2270 (86.6%)p = 0.02
 1378 (12.9%)50 (16.0%)328 (12.5%) 
 ≥ 230 (1.0%)7 (2.2%)23 (0.9%) 
Vigorous exercise- hrs/wk
 01375 (46.9%)168 (53.7%)1207 (46.1%)p = 0.01
 > 0-21370 (46.7%)122 (39.0%)1248 (47.6%) 
 > 2-4116 (4.0%)18 (5.8%)98 (3.7%) 
 > 473 (2.5%)5 (1.6%)68 (2.6%) 
Regular aspirin/NSAID use
 No773 (26.4%)81 (25.9%)692 (24.6%)p = 0.13
 Yes1581 (53.9%)157 (50.2%)1424 (54.3%) 
 Do not know580 (19.8%)75 (24.0%)505 (19.3%) 
Smoking –cigs/day
 0 Or Unknown746 (25.4%)80 (25.6%)666 (25.4%)p = 0.68
 1-10402 (13.7%)36 (11.5%)366 (14.0%) 
 11-20826 (28.2%)92 (29.4%)734 (28.0%) 
 > 20960 (32.7%)105 (33.6%)855 (32.6%) 
Vegetable intake -servings/week
  < 543 (1.5%)3 (1.0%)40 (1.5%)p = 0.43
  ≥ 52891 (98.5%)310 (99.0%)2581 (98.5%) 
BMI – kg/m2
 < 25565 (19.3%)65 (20.8%)500 (19.1%)p = 0.14
 ≥ 25 and < 301346 (45.9%)127 (40.6%)1219 (46.5%) 
 ≥ 301023 (34.9%)121 (38.7%)902 (34.4%) 
  1. Number of participants and prevalence are reported unless otherwise denoted. Participants are categorized by baseline colonoscopy outcome
  2. Abbreviations: No. Number, 1o First degree, hrs/wk. Hours per week, NSAID Non-steroidal anti-inflammatory drug, cigs/day Cigarettes per day, BMI Body mass index, kg/m2 Kilograms per meter squared
  3. aParticipants with unknown family history of CRC or smoking status were assigned to the “0 family members affected” and “none” categories, respectively. Chi-squared tests were used to assess differences in prevalence between CRC cases and non-cases