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1.
Afr. j. health sci ; 14(1-2): 1-13, 2007.
Article in English | AIM | ID: biblio-1257014

ABSTRACT

This paper examines the timing of sexual initiation and contraceptive use among female adolescents in Kenya. Data are drawn from the 2003 Kenya Demographic and Health Survey. The main analytical tools are regression models. A Cox regression model is used to consider the probability of a young woman having first sex during adolescence and linear regression model to quantify the effects of a set of factors on female adolescent's age at first sexual debut. Finally; logistic regression model is used to model the probability of a sexually experienced adolescent woman using a contraceptive method. The results obtained indicate the onset of sexual activity is early and contraceptive use is fairly low and both the timing of first sex and contraceptive use are affected by a variety of factors. Despite engaging in unsafe sex practices; the majority of the adolescents do not view themselves as being at the risk of contracting HIV/AIDS. A number of recommendations are proposed


Subject(s)
Adolescent , Contraception , Sexual Behavior
2.
Afr. j. health sci ; 7(18): 12-24, 2000.
Article in English | AIM | ID: biblio-1257153

Subject(s)
Contraception
4.
Afr. j. health sci ; 5(1): 15-24, 1998.
Article in English | AIM | ID: biblio-1257080
5.
Afr. j. health sci ; 5(1): 15-24, 1998.
Article in English | AIM | ID: biblio-1257085

ABSTRACT

This paper examines the effect of birth intervals on child survival in Kenya; using the data drawn from the 1988/89 Kenya Demographic and Health Survey. Logistic regression is used as the major method of data analysis. The results show that the birth intervals have strong negative effects on infant and child mortality. Their effects remain strong even after a large number of other explanatory variables are taken into account This paper provides empirical evidence that birth intervals of at least two years enhance the prospects of child survival in Kenya


Subject(s)
Birth Intervals , Child Mortality , Health Surveys , Survival
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