Table 4.
Multinomial Logistic Regression Coefficients and Standard Errors for Analysis of Transition to First Sex between Baseline (2010) and Endline (2014), Kenya Cities, MLE
| Model 1 Never had sex vs. Became sexually experienced |
Model 2 Already sexually experienced vs. Became sexually experienced |
Model 3 Already sexually experienced vs. Never had sex |
||||
|---|---|---|---|---|---|---|
| Β | SE | β | SE | β | SE | |
| Saw Shujaaz comic book | 0.60* | (0.29) | −0.36 | (0.27) | −0.97** | (0.31) |
| Heard Jongo Love radio program | 0.68 | (0.45) | 0.18 | (0.41) | −0.50 | (0.52) |
| Saw Tupange print media | −0.18 | (0.31) | −0.01 | (0.27) | 0.17 | (0.36) |
| Heard info. at comm. events | −0.55+ | (0.29) | 0.87*** | (0.27) | 1.41*** | (0.34) |
| Met with CHV | −1.00* | (0.42) | 0.02 | (0.33) | 1.02* | (0.46) |
| Participated in Tupange mtg. | −0.00 | (0.49) | −0.11 | (0.42) | −0.11 | (0.59) |
| Tupange facility within 1.5 km. | −0.06 | (0.28) | 0.40 | (0.28) | 0.46 | (0.34) |
| Age | −0.26* | (0.10) | 0.82*** | (0.10) | 1.08*** | (0.14) |
| Education (none/primary – ref.) | ||||||
| Secondary | 0.40 | (0.52) | 1.12+ | (0.68) | 0.72 | (0.71) |
| Higher | 0.05 | (0.54) | 0.30 | (0.71) | 0.26 | (0.75) |
| Religion (Christian/none/oth. – ref.) | ||||||
| Catholic | −0.75* | (0.33) | 0.39 | (0.29) | 1.14 | (0.38) |
| Muslim | 0.54 | (0.39) | −0.61 | (0.44) | −1.15 | (0.50) |
| City – (Kakamega – ref.) | ||||||
| Nairobi | 0.25 | (0.55) | −0.19 | (0.43) | −0.44 | (0.62) |
| Mombasa | 0.64 | (0.56) | −0.09 | (0.46) | −0.73 | (0.64) |
| Kisumu | 0.21 | (0.55) | 0.76+ | (0.42) | 0.55 | (0.62) |
| Machakos | 0.49 | (0.51) | −1.12** | (0.43) | −1.60** | (0.59) |
| Religiosity (Strongly religious – ref.) | ||||||
| Somewhat/not religious | 0.28 | (0.26) | −0.28 | (0.25) | −0.56+ | (0.32) |
| Student status (not student – ref.) | ||||||
| Student | 0.42 | (0.33) | −1.59*** | (0.28) | −2.01*** | (0.36) |
| Wealth quintile (poorest – ref.) | ||||||
| Poor | 0.47 | (0.40) | −0.40 | (0.36) | −0.87+ | (0.48) |
| Middle | 0.14 | (0.57) | 0.17 | (0.46) | 0.03 | (0.64) |
| Rich | 0.18 | (0.61) | 0.27 | (0.48) | 0.09 | (0.71) |
| Richest | 0.10 | (0.64) | −0.56 | (0.54) | −0.65 | (0.72) |
| Gets health info from radio | −0.23 | (0.27) | 0.19 | (0.31) | 0.42 | (0.39) |
| Gets health info from television | −0.15 | (0.31) | −0.51 | (0.32) | −0.36 | (0.38) |
| Gets health info from print | 0.02 | (0.30) | 0.06 | (0.36) | 0.04 | (0.39) |
| Household owns radio | −0.01 | (0.40) | −0.03 | (0.35) | −0.01 | (0.46) |
| Household owns television | 0.51 | (0.44) | −0.44 | (0.31) | −0.95+ | (0.49) |
+
p<0.1;
*
p<0.05;
**
p<0.01;
***
p<0.001.