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SummaryThe contribution of adolescents' childbearing to total fertility rates in many sub-Saharan African countries is higher than in other parts of the world. In this paper, data collected from 897 female adolescents aged 15–19 years are analysed to investigate patterns and determinants of entry into motherhood in two informal settlements in Nairobi, Kenya, using Kaplan–Meier estimates and Cox regression models. About 15% of these adolescents have had a child. The findings show that marriage, being out of school and having negative models in peer, family and school contexts are associated with early childbearing among females aged 15–17 years. For adolescents aged 18–19 years, school attendance considerably delays entry into motherhood while marriage hastens its timing. Furthermore, older adolescents with high levels of social controls (parental monitoring or perceived peer orientation to or approval of prosocial behaviours) and individual controls (high religiosity and positive orientation to schooling) are likely to delay childbearing. Programmes aiming to reduce risky sexual behaviours that could lead to childbearing among adolescents should be introduced very early, and before the onset of sexual activity. Also, the findings underscore the need to identify and address the risky factors and reinforce the protective ones in order to improve sexual and reproductive health outcomes of adolescent girls in Nairobi slum settlements.

We explore the concerns, challenges, aspirations, and expectations of sub‐Saharan African youth, and investigate how these youth cope with neighborhood constraints to aspiration achievement. We draw on cross‐sectional survey data from 4033 12–22‐year‐olds (50.3% males) from two Kenyan urban slums and subsequent in‐depth interviews conducted with a subset of 75 youth when they were 13–24 years old (45.3% males). We observe that despite the challenges characteristic of urban slums, some youth maintain high aspirations and try to achieve them through education, delinquency, residential mobility, and religion. We note that others adjust their aspirations to account for limited opportunities. Overall, our findings highlight positive youth agency and underscore the need to improve the quality of life in urban slums.

As urbanization continues unabated in Kenya, the wellbeing of the urban poor ‐ whose majority live in slum settlements ‐ will increasingly drive national development indicators including Vision 2030, SDGs and FP2020 goals. It is therefore central to understand and identify ways to address the poor reproductive health outcomes among poor urban slum populations in the country. Taking advantage of APHRC's NCSS surveys conducted in 2000 and 2012 among a representative sample of slum households across Nairobi, we show that there has been a considerable increase in use of modern contraception among women in Nairobi slums, from 34% in 2000 to 53% in 2012, and a reduction in inequity in access through much higher increases among previously disadvantaged groups. Using decomposition analysis techniques, we show that much of the observed increase is due to behavioral changes in the effect of fertility preferences on contraceptive use; and to compositional changes in woman's education, child survival and exposure to FP information. This may be the result of efforts by the government of Kenya and its development partners to reduce the disparities in uptake and use of FP services through various programs and policies targeting the poor segments of the Kenyan population.

AbstractChildbearing intentions among women in high-fertility contexts are usually classified into those wanting to have a baby, those wanting to 'space' a birth and those wanting to 'limit' their family size. However, evidence from Africa increasingly suggests that women's intentions are more complex than this classification suggests, and that there is fluidity in these intentions. This research explores women's accounts of their childbearing intentions and decisions in order to examine how this fluidity plays out in a low-fertility context in urban Africa. Six focus group discussions were conducted in April and May 2012 with women of reproductive age in Nairobi, Kenya. Participants were recruited using random and purposive sampling techniques. The focus group discussions had an average of seven participants each. Data were coded thematically and analysed using Nvivo software. The analysis explored the factors that women consider to be influential for childbearing and found that the health of the mother and child, costs of raising a child and relationships were commonly reported to be important. Evidence of intentions to space births and limit family size was found. However, the data also showed that there is fluidity in women's family planning intentions, driven by changes in relationships or household finances, which often result in a desire to avoid pregnancy in the present moment. The fluidity observed in women's childbearing intentions cannot be accounted for by the concepts of either 'spacing' or 'limitation' but is best explained by the concept of 'postponement'. The research reveals the need for family planning clinics to provide a full method mix, as well as high-quality counselling, to enable women to choose a method that best suits their needs.

SummaryThere is an abundant literature on the relationship between women's education and maternal and child outcomes, including antenatal and postnatal care, onset of antenatal care and skilled birth attendance. However, few studies have adopted the 'equity' lens, despite increasing evidence that inequities between rich and poor are increasing although maternal and child mortality is declining. This study examined the differential effects of women's education within different socioeconomic strata in Africa. The most recent Demographic and Health Surveys (DHS) conducted in the Democratic Republic of the Congo, Egypt, Ghana, Nigeria and Zimbabwe were used. In each country, the original sample was stratified into three socioeconomic groups: poor, middle and rich. For each maternal health service utilization variable, the gross and net effects of women's education, controlling for age, parity, religion, marital status, health insurance, access to health facilities, partner's education and current place of residence, were estimated using logistic regression, taking into account the complex sampling design of the DHS. The findings revealed country-specific variations in maternal health service utilization, and for most indicators there was a clear gradient among socioeconomic strata: women living in better-off households exhibited greater access to, and utilization of, maternal health services. Multivariate analyses revealed that women's education had a positive association with type of antenatal care provider, timing and frequency of antenatal care visits, place of delivery and presence of a skilled birth attendant at delivery. Many other factors were found to be significantly associated with maternal health service utilization. For instance, parity had a negative and significant association with timing of first antenatal care visit. Likewise, partner's education was positively and statistically associated with timing of first antenatal care visit. It is argued that an over-generalization of the association between women's education and maternal health service utilization can be misleading. Efforts to improve maternal health service utilization in Africa must adopt an 'equity' approach, taking into account the specific needs of sub-populations.

The Urbanization, Poverty, and Health Dynamics research program was designed to generate and provide the evidence base that would help governments, development partners, and other stakeholders understand how the urban slum context affects health outcomes in order to stimulate policy and action for uplifting the wellbeing of slum residents. The program was nested into the Nairobi Urban Health and Demographic Surveillance System, a uniquely rich longitudinal research platform, set up in Korogocho and Viwandani slum settlements in Nairobi city, Kenya. Findings provide rich insights on the context in which slum dwellers live and how poverty and migration status interacts with health issues over the life course. Contrary to popular opinions and beliefs that see slums as homogenous residential entities, the findings paint a picture of a highly dynamic and heterogeneous setting. While slum populations are highly mobile, about half of the population comprises relatively well doing long-term dwellers who have lived in slum settlements for over 10 years. The poor health outcomes that slum residents exhibit at all stages of the life course are rooted in three key characteristics of slum settlements: poor environmental conditions and infrastructure; limited access to services due to lack of income to pay for treatment and preventive services; and reliance on poor quality and mostly informal and unregulated health services that are not well suited to meeting the unique realities and health needs of slum dwellers. Consequently, policies and programs aimed at improving the wellbeing of slum dwellers should address comprehensively the underlying structural, economic, behavioral, and service-oriented barriers to good health and productive lives among slum residents.

The Urbanization, Poverty, and Health Dynamics research program was designed to generate and provide the evidence base that would help governments, development partners, and other stakeholders understand how the urban slum context affects health outcomes in order to stimulate policy and action for uplifting the wellbeing of slum residents. The program was nested into the Nairobi Urban Health and Demographic Surveillance System, a uniquely rich longitudinal research platform, set up in Korogocho and Viwandani slum settlements in Nairobi city, Kenya. Findings provide rich insights on the context in which slum dwellers live and how poverty and migration status interacts with health issues over the life course. Contrary to popular opinions and beliefs that see slums as homogenous residential entities, the findings paint a picture of a highly dynamic and heterogeneous setting. While slum populations are highly mobile, about half of the population comprises relatively well doing long-term dwellers who have lived in slum settlements for over 10 years. The poor health outcomes that slum residents exhibit at all stages of the life course are rooted in three key characteristics of slum settlements: poor environmental conditions and infrastructure; limited access to services due to lack of income to pay for treatment and preventive services; and reliance on poor quality and mostly informal and unregulated health services that are not well suited to meeting the unique realities and health needs of slum dwellers. Consequently, policies and programs aimed at improving the wellbeing of slum dwellers should address comprehensively the underlying structural, economic, behavioral, and service-oriented barriers to good health and productive lives among slum residents.

AbstractThe adolescent birth rate (ABR) is an important indicator of maternal health, adolescent sexual health, and gender equity; it remains high in sub‐Saharan Africa. While Demographic and Health Surveys (DHS) are the main source of ABR estimates, Health and Demographic Surveillance Systems (HDSS) also produce ABRs. Studies are lacking, however, to assess the ease of access and accuracy of HDSS ABR measures. In this paper, we use birth and exposure data from 10 HDSS in six African countries to compute local ABRs and compare these rates to DHS regional rates where the HDSS sites are located, standardizing by education and place of residence. In rural HDSS sites, the ABR measure is on average 44 percent lower than the DHS measure, after controlling for education and place of residence. Strong temporary migration of childless young women out of rural areas and different capacities in capturing temporarily absent women in the DHS and HDSS could explain this discrepancy. Further comparisons based on more strictly similar populations and measures seem warranted.