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Table 1 HealthStreet participant demographics and research perceptions (October 2011 - May 2014) by minority status and self-reported lifetime history of cancer, Alachua County, Florida (n = 2,651)

From: Utilizing spatial statistics to identify cancer hot spots: a surveillance strategy to inform community-engaged outreach efforts

  No Cancer (n = 2,477) Cancer (n = 174)  
  Non-Minority (n = 647) Minority (n = 1,830) p-value (a vs. b) Non-Minority (n = 91) Minority (n = 83) p-value(c vs. d) p-value(a vs. c) p-value(b vs. d)
Demographic a b c d
  n (%) n (%)   n (%) n (%)    
Female 370 (57.2%) 1036 (56.6%) .922 68 (74.7%) 54 (65.1%) .187 .003 .214
Mean Age (±SD) 43.0 (±15.1) 39.2 (±15.0) <.0001 54.7 (±15.6) 51.8 (±15.2) 0.210 <.0001 <.0001
Marital Status         
Never Married 268 (41.4%) 1067 (58.3%) <.0001 26 (28.6%) 27 (32.5%) .839 .086 <.0001
Married 151 (23.3%) 335 (18.3%)   24 (26.4%) 22 (26.5%)    
Separated/Divorced/Widowed 227 (35.1%) 424 (23.2%)   41 (45.1%) 34 (41.0%)    
Mean Grade Completed (±SD) 13.4 (±2.9) 12.5 (±2.2) <.0001 14.2 (±3.3) 12.3 (±2.5) <.0001 .013 .542
Unemployed 395 (61.1%) 1158 (63.3%) .535 64 (70.3%) 59 (71.1%) 0.913 .236 .412
Veteran 79 (12.2%) 143 (7.8%) .0009 12 (13.2%) 13 (15.7%) .671 .920 .043
Food Insecurity 319 (49.3%) 824 (45.0%) 0.141 44 (48.4%) 43 (51.8%) .825 .303 .063
Medically Uninsured 280 (43.3%) 694 (37.9%) .040 26 (28.6%) 21 (25.3%) .733 .016 .050
Seen a Doctor in Past 6 Months 421 (65.1%) 1114 (60.9%) 0.060 76 (83.5%) 71 (85.5%) .835 .0003 <.0001
Research Perceptions         
Ever been in a health research study 150 (23.2%) 279 (15.2%) <.0001 33 (36.3%) 20 (24.1%) .010 .027 .105
Interested in being in research study 601 (92.9%) 1647 (90.0%) .082 87 (95.6%) 81 (97.6%) .684 .562 .067
Would participate in a study…
If they were only asked about their health 614 (94.9%) 1694 (92.6%) .086 88 (96.7%) 74 (89.2%) .071 .607 .313
If they needed to provide access to their medical records 573 (88.6%) 1541 (84.2%) .011 81 (89.0%) 72 (86.7%) .816 .900 .659
If they had to give a blood sample 581 (89.8%) 1503 (82.1%) <.0001 83 (91.2%) 71 (85.5%) .342 .852 .593
If they had to take medicine 424 (65.5%) 984 (53.8%) <.0001 63 (69.2%) 53 (63.9%) .520 .610 .239
If they had to stay overnight in a hospital 474 (73.3%) 1234 (67.4%) .014 70 (76.9%) 65 (78.3%) .712 .526 .018
If they had to use medical equipment 555 (85.8%) 1433 (78.3%) <.0001 81 (89.0%) 73 (88.0%) 0.827 .516 .098
If they didn’t get paid 532 (82.2%) 1370 (74.9%) .0003 84 (92.3%) 68 (81.9%) .049 .029 .053
What they thought was an average fair amount for a study lasting an hour and a half and involving an interview and a blood test $45.28 (±$73.09) $87.62 (±$146.60) <.0001 $40.24 (±$40.30) $51.15 (±$41.14) .059 .940 .061