| Literature DB >> 19912630 |
Parveen Bhatti1, Diane Kampa, Bruce H Alexander, Christopher McClure, Danny Ringer, Michele M Doody, Alice J Sigurdson.
Abstract
BACKGROUND: Collection of buccal cells from saliva for DNA extraction offers a less invasive and convenient alternative to venipuncture blood collection that may increase participation in genetic epidemiologic studies. However, dried blood spot collection, which is also a convenient method, offers a means of collecting peripheral blood samples from which analytes in addition to DNA can be obtained.Entities:
Mesh:
Year: 2009 PMID: 19912630 PMCID: PMC2781815 DOI: 10.1186/1471-2288-9-76
Source DB: PubMed Journal: BMC Med Res Methodol ISSN: 1471-2288 Impact factor: 4.615
Dried blood spot collection among breast cancer cases and control who initially declined to provide a venipuncture blood sample, according to incentive, demographic characteristics and selected cancer risk factors
| Cases (n = 134) | Controls (n = 256) | |||||||
|---|---|---|---|---|---|---|---|---|
| No blood spot | Blood spot | OR (95% CI) | p-valuea | No blood spot | Blood spot | OR (95% CI) | p-valuea | |
| Incentive Group | ||||||||
| No incentive | 49 (73%) | 18 (27%) | ref | 0.01 | 95 (74%) | 34 (26%) | ref | 0.6 |
| $2 incentive | 35 (52%) | 32 (48%) | 2.5b(1.2,5.1) | 90 (71%) | 37 (29%) | 1.1 (0.7,2.0) | ||
| Year of birth | ||||||||
| < 1935 | 18 (56%) | 14 (44%) | ref | 0.8 | 32 (63%) | 19 (37%) | ref | 0.4 |
| 1935 to 1944 | 35 (63%) | 21 (38%) | 0.8 (0.3,1.9) | 90 (75%) | 30 (25%) | 0.6 (0.3,1.1) | ||
| 1945 to 1954 | 24 (67%) | 12 (33%) | 0.6 (0.2,1.7) | 53 (29%) | 19 (26%) | 0.6 (0.3,1.3) | ||
| ≥ 1955 | 7 (70%) | 3 (30%) | 0.6 (0.1,2.5) | 10 (77%) | 3 (23%) | 0.5 (0.1,2.0) | ||
| Marital Status | ||||||||
| Married/Living Together | 53 (61%) | 34 (39%) | ref | 0.8 | 135 (73%) | 50 (27%) | ref | 0.9 |
| Widowed/ | 23 (66%) | 12 (34%) | 1.1 (0.6,2.2) | 38 (70%) | 16 (30%) | 1.1 (0.6,2.2) | ||
| Never Married | 8 (67%) | 4 (33%) | 1.1 (0.4,3.4) | 12 (71%) | 5 (29%) | 1.1 (0.4,3.3) | ||
| Smoking Status | ||||||||
| Never | 39 (56%) | 31 (44%) | ref | 0.2 | 99 (71%) | 40 (29%) | ref | 0.8 |
| Former | 36 (71%) | 15 (29%) | 0.5 (0.2,1.1) | 60 (75%) | 20 (25%) | 0.8 (0.4,1.5) | ||
| Current | 9 (69%) | 4 (31%) | 0.6 (0.6,2.0) | 26 (72%) | 10 (28%) | 1.0 (0.4,2.2) | ||
| Unknown | 0 (0%) | 0 (0%) | N/A | 0 (0%) | 1(100%) | N/A | ||
| Region of residencec | ||||||||
| Northeast | 16 (57%) | 12 (43%) | ref | 0.7 | 29 (67%) | 14 (33%) | ref | 0.9 |
| Midwest | 19 (63%) | 11 (37%) | 0.8 (0.3,2.2) | 48 (73%) | 18 (27%) | 0.8 (0.3,1.8) | ||
| South | 15 (54%) | 13 (46%) | 1.2 (0.4,3.3) | 37 (69%) | 17 (31%) | 1.0 (0.4,2.2) | ||
| West | 11 (61%) | 7 (39%) | 0.8 (0.2,2.7) | 24 (69%) | 11 (31%) | 0.9 (0.4,2.5) | ||
| Unknown | 23 (77%) | 7 (23%) | 0.4 (0.1,1.2) | 47 (81%) | 11 (19%) | 0.5 (0.2,1.2) | ||
| Occupational radiation breast dose (Gy) | ||||||||
| 0 to 0.02 | 56 (65%) | 30 (35%) | ref | 0.9 | 124 (72%) | 49 (28%) | ref | 0.02 |
| > 0.02 to 0.04 | 13 (59%) | 9 (41%) | 1.2 (0.5,3.4) | 34 (89%) | 4 (11%) | 0.3 (0.1,0.9) | ||
| > 0.04 to 0.06 | 6 (60%) | 4 (40%) | 1.2 (0.3,4.8) | 10 (71%) | 4 (29%) | 1.0 (0.3,3.4) | ||
| > 0.06 | 9 (56%) | 7 (44%) | 1.5 (0.5,4.3) | 17 (55%) | 14 (45%) | 2.1 (0.9,4.6) | ||
| Personal diagnostic radiation breast dose score | ||||||||
| 0 to 0.02 | 47 (67%) | 23 (33%) | 0.5 | 121 (73%) | 44 (27%) | 0.9 | ||
| > 0.02 to 0.04 | 12 (50%) | 12 (50%) | 2.0 (0.8,5.2) | 33 (70%) | 14 (30%) | 1.2 (0.6,2.4) | ||
| > 0.04 to 0.06 | 9 (60%) | 6 (40%) | 1.4 (0.4,4.3) | 14 (74%) | 5 (26%) | 1.0 (0.3,2.9) | ||
| > 0.06 | 16 (64%) | 9 (36%) | 1.1 (0.4,3.0) | 17 (68%) | 8 (32%) | 1.3 (0.5,3.2) | ||
aChi-square test excluded Unknown category
bp-value for super-multiplicative effect modification = 0.09
cU.S. Census Bureau definition: Northeast = CT, ME, MA, NH, RI, VT, NJ, NY, PA, DE, DC, MD; Midwest = IL, IN, MI, OH, WI, IA, KS, MN, MO, NE, ND, SD; South = FL, GA, NC, SC, VA, WV, AL, KY, MS, TN, AR, LA, OK, TX; West = AZ, CO, ID, MT, NV, NM, UT, WY, AK, CA, HI, OR, WA