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)
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 |