Table 5.
Multinomial Logistic Regression Coefficients and Standard Errors for Analysis of Transition to First Pregnancy/Birth between Baseline (2010) and Endline (2014), Kenya
Model 1 Never birth/pregnancy vs. Had first birth/pregnancy |
Model 2 Already had first birth/pregnancy vs. Had first birth/pregnancy |
Model 3 Already had first birth/pregnancy vs. Never birth/pregnancy |
||||
---|---|---|---|---|---|---|
β | SE | β | SE | β | SE | |
Saw Shujaaz comic book | 0.92*** | (0.25) | 0.01 | (0.51) | −0.91+ | (0.49) |
Heard Jongo Love radio program | 0.26 | (0.40) | −0.02 | (0.72) | −0.28 | (0.71) |
Saw Tupange print media | −0.14 | (0.25) | 0.08 | (0.35) | 0.22 | (0.36) |
Heard info. at comm. events | −0.52* | (0.24) | 0.18 | (0.35) | 0.70+ | (0.37) |
Met with CHV | −0.59+ | (0.32) | 0.50 | (0.37) | 1.09* | (0.46) |
Participated in Tupange mtg. | −0.32 | (0.38) | 0.56 | (0.43) | 0.88+ | (0.49) |
Tupange facility within 1.5 km. | −0.09 | (0.24) | −0.15 | (0.34) | −0.06 | (0.36) |
Age | −0.41*** | (0.09) | 0.84*** | (0.15) | 1.26*** | (0.15) |
Education (none/primary – ref.) | ||||||
Secondary | 0.06 | (0.63) | 0.34 | (0.93) | 0.29 | (0.97) |
Higher | 0.91 | (0.65) | 0.14 | (0.95) | −0.77 | (1.04) |
Religion (Christian/none/oth. – ref.) | ||||||
Catholic | 0.19 | (0.27) | 0.07 | (0.38) | −0.13 | (0.40) |
Muslim | 0.58 | (0.40) | 0.56 | (0.53) | −0.02 | (0.58) |
City – (Kakamega – ref.) | ||||||
Nairobi | 0.25 | (0.40) | −1.09* | (0.52) | −1.35* | (0.55) |
Mombasa | 0.58 | (0.41) | −1.37* | (0.54) | −1.94*** | (0.57) |
Kisumu | 0.26 | (0.41) | 0.89 | (0.56) | 0.35 | (0.55) |
Machakos | 0.78* | (0.39) | −1.79*** | (0.56) | −2.56*** | (0.56) |
Religiosity (Strongly religious – ref.) | ||||||
Somewhat/not religious | −0.22 | (0.24) | −0.39 | (0.30) | −0.17 | (0.33) |
Student status (not student – ref.) | ||||||
Student | 0.45+ | (0.26) | −2.73*** | (0.53) | −3.18*** | (0.51) |
Wealth quintile (poorest – ref.) | ||||||
Poor | 0.14 | (0.28) | −0.51 | (0.40) | −0.65 | (0.44) |
Middle | −0.10 | (0.38) | 0.42 | (0.59) | 0.52 | (0.59) |
Rich | 0.23 | (0.41) | −0.09 | (0.70) | −0.32 | (0.70) |
Richest | 0.58 | (0.48) | −1.32 | (0.86) | −1.89* | (0.88) |
Gets health info from radio | −0.15 | (0.27) | −0.10 | (0.36) | 0.05 | (0.39) |
Gets health info from television | −0.18 | (0.27) | −0.81* | (0.38) | −0.63 | (0.40) |
Gets health info from print | −0.14 | (0.26) | −0.78+ | (0.43) | −0.65 | (0.47) |
Household owns radio | 0.20 | (0.28) | −0.36 | (0.38) | −0.56 | (0.42) |
Household owns television | 0.41 | (0.29) | 0.10 | (0.46) | −0.31 | (0.48) |
p<0.1;
p<0.05;
p<0.01;
p<0.001.