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. 2022 Feb 4;26(8):2588–2599. doi: 10.1007/s10461-022-03595-8

Table 3.

Adherence to the program components by sociodemographic characteristics among 75 women randomized to intervention São Paulo, Brazil

Adherence to telephone/text Adherence to in-person navigation
Yes No Yes No
Moderately or fully adherent (n, %) 53 70.7 22 29.3 35 46.7 40 53.3
Participant characteristics
Age (median, IQR) 31 25–40* 27 23–29 31 26-40θ 27.5 24–34
Education
 Finished primary or less 16 64.0 9 36.0 11 44.0 14 56.0
 Secondary incomplete 13 65.0 7 35.0 8 40.0 12 60.0
 Completed secondary 24 80.0 6 20.0 16 53.3 14 46.7
Living in poverty (earned ≤ R$800/month) 21 77.8 6 22.2 16 59.3 11 40.7
Employment status
 Employed (with or w/out work card) 7 70.0 3 30.0 4 40.0 6 60.0
 Self-employed 28 77.8 8 22.2 16 44.4 20 55.6
 Student/retired/not consistently working 18 62.1 11 37.9 15 51.7 14 48.3
Self-identified skin color
 White 19 76.0 6 24.0 13 52.0 12 48.0
 Black 3 42.9¥ 4 57.1 1 14.3 6 85.7
 Mixed race (parda) 27 73.0 10 27.0 19 51.3 18 48.7
 Asian/Indigenous/other 4 66.7 2 33.3 2 33.3 4 66.7
Living situation
 Stable housing 42 80.8£ 10 19.2 26 50.0 26 50.0
 Unstable housing 11 47.8 12 52.2 9 39.1 14 60.9

Row percentages presented to facilitate assessment of differences in participant characteristics by adherence to program

Significant or marginally significant differences: *chi-sq = 4.54, p = 0.03

θchi-sq = 4.13, p = 0.04

¥Black vs white and mixed race chi-sq = 3.00, p = .08

Black vs white and mixed race, chi-sq = 3.51, p = .06

£chi-sq = 8.35; p < .01