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Table 2 Participants characteristics

From: Refining a questionnaire to assess breast cancer knowledge and barriers to screening in Kenya: Psychometric assessment of the BCAM

Variables

Total (N = 1061)

Attended screening events N (%) or median(IQR)*or mean (SD)** (N = 594)

Did not attend screening events n (%) or median(IQR)* or mean (SD)** (N = 467)

P Value

Age

34(26–44)*

35(28–45)*

32(25–41)*

0.001

Marital status (Married vs. other)

809(76%)

472(79%)

337(72%)

0.006

Educational level (More than elementary vs. elementary)

527(50%)

306(52%)

221(47%)

0.175

Occupation

 Employed

201(19%)

130(22%)

71(15%)

 

 Self-employed

457(43%)

114(19%)

343(74%)

<0.001

 Unemployed

399(38%)

347(59%)

52(11%)

 

Means of transport (Walking vs. other)

259(55%)

302(51%)

259(55%)

0.142

Time required to travel to the health facility (in minutes)

30(20–45)*

30(20–60)*

30(20–30)*

0.001

Check breast for lumps (Yes vs. No)

519(49%)

332(56%)

187(40%)

<0.001

Having felt a breast lump (Yes vs. No)

125(12%)

94(16%)

31(7%)

<0.001

Having ever undergone any breast cancer screening (Yes vs. No)

109(10%)

64(11%)

45(10%)

0.573

Having been trained how to feel for a breast lump (Yes vs. No)

296(28%)

207(35%)

89(19%)

<0.001

  1. ‘-‘Analysis was not done on the respective variables
  2. NB: Even though the median travel time to the health facility (in minutes) was similar in both groups the Wilcoxon rank-sum test assessed the dispersion between the two groups which significantly differed for the two groups
  3. * is for median(IQR) and ** is for mean (SD)