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Table 5 Associations between domains after factor loadings and patient characteristics

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

Variables

Attended screening events

Did not attend screening events

Knowledge of breast cancer symptoms Factor 1

Barriers to screening Factor 1-Internal influences

Barriers to screening Factor 2-External influences

Knowledge of breast cancer symptoms Factor 1

Barriers to screening Factor 1-Internal influences

Barriers to screening Factor 2-External influences

Age (per 10 years increase)

0.04(−0.01, 0.09)

0.00(−0.06, 0.05)

0.02(−0.02, 0.06)

0.04(−0.02, 0.10)

0.03(−0.03, 0.10)

0.05(−0.01, 0.11)

Married vs. others

0.14(−0.03, 0.31)

0.15(−0.04, 0.32)

0.05(−0.07,0.19)

0.09(−0.09,0.27)

−0.09(−0.28,0.10)

0.05(−0.12,0.22)

Occupation

Self-employed vs. employed

−0.23(−0.44, −0.02)

−0.01(−0.24,0.22)

−0.13(−0.30,0.03)

−0.17(−0.42,0.08)

−0.08(−0.33,0.19)

0.08(−0.16,0.32)

Walking vs. other means of transport

−0.03(−0.17, 0.11)

0.01(−0.14,0.16)

0.10(0.00,0.20)

0.28(0.12,0.44)

0.00(−0.17,0.17)

0.03(−0.13,0.18)

Having checked breast for lumps

0.01(−0.13, 0.15)

0.03(−0.12,0.18)

−0.05(−0.15,0.06)

0.22(0.06,0.39)

0.02(−0.15,0.19)

−0.04(−0.20,0.11)

Having been trained how to feel for a breast lump

0.04(−0.01, 0.18)

0.04(−0.11,0.20)

−0.02(−0.13,0.09)

0.21(0.00,0.41)

−0.01(−0.22,0.20)

−0.17(−0.36,0.03)

  1. The scores represent -regression coefficient (95% CI)
  2. Statistically significant scores are in bold