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Published in: BMC Public Health 1/2017

Open Access 01-12-2017 | Research article

Examination of youth sexual and reproductive health transitions in Nigeria and Kenya using longitudinal data

Authors: Ilene S. Speizer, David Guilkey, Lisa M. Calhoun, Meghan Corroon, Rick O’Hara

Published in: BMC Public Health | Issue 1/2017

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Abstract

Background

The adolescent (ages 15–19) and young adult (ages 20–24) years are a crucial time as many sexual and reproductive health (SRH) transitions take place in these years. The study of youth SRH transitions in sub-Saharan Africa is limited due to a paucity of longitudinal data needed to examine the timing and circumstances of these transitions.

Methods

This paper uses recently collected longitudinal data from select urban areas in Kenya and Nigeria that include a large youth sample at baseline (2010/2011) and endline (2014). We control for unobserved heterogeneity in our modelling approach to correct for selectivity issues that are often ignored in similar types of analyses.

Results

We demonstrate that the transition patterns (i.e., sexual initiation, first marriage, and first pregnancy/birth) differ within and across the urban areas and countries studied. Urban Kenyan youth have more premarital sex and pregnancy than youth from the Nigerian cities. Further analyses demonstrate that more educated and wealthier youth transition later than their less educated and poorer counterparts.

Conclusions

The findings from this study can be used to inform programs seeking to serve young people based on their varying reproductive health needs in different contexts over the adolescent and young adult years.
Appendix
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Footnotes
1
Note that only a small percentage (<1%) of women had inconsistent responses and these women are not shown in the figures presented.
 
2
In the full baseline sample, 17% of the 15 year olds, 26% of the 16 year olds, and 43% of the 17 year olds had already had first sex (contact first author for full set of values).
 
3
There is little difference in first sex experience between the full baseline sample and the sample interviewed at both time points (contact first author for values)
 
Literature
1.
go back to reference United Nations, Department of Economic and Social Affairs, Population Division. World population prospects: the 2015 revision, custom data acquired via website. 2015. United Nations, Department of Economic and Social Affairs, Population Division. World population prospects: the 2015 revision, custom data acquired via website. 2015.
4.
go back to reference Population Division, United Nations (UN) Department of Economic and Social Affairs, World Population Prospects. The 2012 revision. New York: UN; 2013. Population Division, United Nations (UN) Department of Economic and Social Affairs, World Population Prospects. The 2012 revision. New York: UN; 2013.
5.
go back to reference Psaki SR. Addressing early marriage and adolescent pregnancy as a barrier to gender parity and equality in education. Background paper for the 2015 UNESCO education for all global monitoring report. New York: Population Council; 2014. Psaki SR. Addressing early marriage and adolescent pregnancy as a barrier to gender parity and equality in education. Background paper for the 2015 UNESCO education for all global monitoring report. New York: Population Council; 2014.
6.
go back to reference Merrick TW. Making the case for investing in adolescent reproductive health: a review of evidence and PopPov research contributions. Washington, DC: Population and Poverty Research Initiative and Population Reference Bureau; 2015. Merrick TW. Making the case for investing in adolescent reproductive health: a review of evidence and PopPov research contributions. Washington, DC: Population and Poverty Research Initiative and Population Reference Bureau; 2015.
7.
go back to reference Chandra-Mouli V, Camacho AV, Michaud PA. WHO guidelines on preventing early pregnancy and poor reproductive outcomes among adolescents in developing countries. J Adolesc Health. 2013;52(5):517–22.CrossRefPubMed Chandra-Mouli V, Camacho AV, Michaud PA. WHO guidelines on preventing early pregnancy and poor reproductive outcomes among adolescents in developing countries. J Adolesc Health. 2013;52(5):517–22.CrossRefPubMed
8.
go back to reference Ganchimeg T, Ota E, Morisaki N, Laopaiboon M, Lumbiganon P, Zhang J, et al. Pregnancy and childbirth outcomes among adolescent mothers: a World Health Organization multicountry study. Brit J Obstet Gynaec. 2014;121(s1):40–8.CrossRef Ganchimeg T, Ota E, Morisaki N, Laopaiboon M, Lumbiganon P, Zhang J, et al. Pregnancy and childbirth outcomes among adolescent mothers: a World Health Organization multicountry study. Brit J Obstet Gynaec. 2014;121(s1):40–8.CrossRef
9.
go back to reference Hindin MJ, Fatusi AO. Adolescent sexual and reproductive health in developing countries: an overview of trends and interventions. Int Pers Sexual Reprod Health. 2009;35(2):58–62.CrossRef Hindin MJ, Fatusi AO. Adolescent sexual and reproductive health in developing countries: an overview of trends and interventions. Int Pers Sexual Reprod Health. 2009;35(2):58–62.CrossRef
11.
go back to reference Hervish A, Clifton D. Status report on adolescents and young people in Sub-Saharan Africa: opportunities and challenges. Washington DC: UNFPA: Johannesburg; PRB; 2012. Hervish A, Clifton D. Status report on adolescents and young people in Sub-Saharan Africa: opportunities and challenges. Washington DC: UNFPA: Johannesburg; PRB; 2012.
13.
go back to reference Blum RW, Bastos FIPM, Kabiru CW, Le LC. Adolescent health in the 21st century. Lancet. 2012;379:1567–8.CrossRefPubMed Blum RW, Bastos FIPM, Kabiru CW, Le LC. Adolescent health in the 21st century. Lancet. 2012;379:1567–8.CrossRefPubMed
15.
go back to reference Gipson JD, Hicks AL, Gultiano SA. Gendered differences in the predictors of sexual initiation among young adults in Cebu, Philippines. J of Adolesc Health. 2014;54:599–605.CrossRef Gipson JD, Hicks AL, Gultiano SA. Gendered differences in the predictors of sexual initiation among young adults in Cebu, Philippines. J of Adolesc Health. 2014;54:599–605.CrossRef
16.
go back to reference Marteleto L, Lam D, Ranchhod V. Sexual behavior, pregnancy, and schooling among young people in urban South Africa. Stud Fam Plann. 2008;39(4):351–68.CrossRefPubMedPubMedCentral Marteleto L, Lam D, Ranchhod V. Sexual behavior, pregnancy, and schooling among young people in urban South Africa. Stud Fam Plann. 2008;39(4):351–68.CrossRefPubMedPubMedCentral
17.
go back to reference Grant M, Hallman K. Pregnancy-related school dropout and prior school performance in KwaZulu-Natal. Stud Fam Plann. 2008;39(4):369–82.CrossRefPubMed Grant M, Hallman K. Pregnancy-related school dropout and prior school performance in KwaZulu-Natal. Stud Fam Plann. 2008;39(4):369–82.CrossRefPubMed
18.
go back to reference Handa S, Peterman A, Huang C, Halpern C, Pettifor A, Thirumurthy H. Impact of the Kenya cash transfer for orphans and vulnerable children on early pregnancy and marriage of adolescent girls. Soc Sci Med. 2015;141:36–45.CrossRefPubMedPubMedCentral Handa S, Peterman A, Huang C, Halpern C, Pettifor A, Thirumurthy H. Impact of the Kenya cash transfer for orphans and vulnerable children on early pregnancy and marriage of adolescent girls. Soc Sci Med. 2015;141:36–45.CrossRefPubMedPubMedCentral
19.
go back to reference Duflo E, Dupas P, Kremer M. Education, HIV and early fertility: experimental evidence from Kenya, Working paper. 2014.CrossRef Duflo E, Dupas P, Kremer M. Education, HIV and early fertility: experimental evidence from Kenya, Working paper. 2014.CrossRef
21.
go back to reference Measurement, Learning & Evaluation of the Urban Reproductive Health Initiative (MLE), Nigerian Urban Reproductive Health Initiative (NURHI) and National Population Commission (NPC). 2010–2011 Nigeria baseline survey for the urban reproductive health initiative. Chapel Hill: MLE; 2011. Measurement, Learning & Evaluation of the Urban Reproductive Health Initiative (MLE), Nigerian Urban Reproductive Health Initiative (NURHI) and National Population Commission (NPC). 2010–2011 Nigeria baseline survey for the urban reproductive health initiative. Chapel Hill: MLE; 2011.
22.
go back to reference MLE, Tupange and KNBS. 2011. Report of the Baseline Household Survey for the Kenya Urban Reproductive Health Initiative (Tupange). Measurement, Learning & Evaluation of the Urban Reproductive Health Initiative (MLE) [UNC, USA]; Kenya Urban Reproductive Health Initiative (Tupange) [Nairobi, Kenya]; and Kenya National Bureau of Statistics (KNBS) [Nairobi, Kenya]. MLE, Tupange and KNBS. 2011. Report of the Baseline Household Survey for the Kenya Urban Reproductive Health Initiative (Tupange). Measurement, Learning & Evaluation of the Urban Reproductive Health Initiative (MLE) [UNC, USA]; Kenya Urban Reproductive Health Initiative (Tupange) [Nairobi, Kenya]; and Kenya National Bureau of Statistics (KNBS) [Nairobi, Kenya].
23.
go back to reference Speizer IS, Fotso JC, Davis JT, Saad A, Otai J. Timing and circumstances of first sex among female and male youth from select urban areas of Nigeria, Kenya, and Senegal. J Adolesc Health. 2013;53:609–16.CrossRefPubMedPubMedCentral Speizer IS, Fotso JC, Davis JT, Saad A, Otai J. Timing and circumstances of first sex among female and male youth from select urban areas of Nigeria, Kenya, and Senegal. J Adolesc Health. 2013;53:609–16.CrossRefPubMedPubMedCentral
24.
go back to reference Heckman JJ, Singer B. A method for minimizing the impact of distributional assumptions in econometric models for duration data. Econometrica. 1984;52:271–320.CrossRef Heckman JJ, Singer B. A method for minimizing the impact of distributional assumptions in econometric models for duration data. Econometrica. 1984;52:271–320.CrossRef
26.
go back to reference Nguyen MC, Wodon Q. Global trends in child marriage. Washington, DC: World Bank; 2012. Nguyen MC, Wodon Q. Global trends in child marriage. Washington, DC: World Bank; 2012.
27.
go back to reference Huang DYC, Murphy DA, Hser YI. Parental monitoring during early adolescence deters adolescent sexual initiation: discrete-time survival mixture analysis. J Child Fam Stud. 2011;20:511e20.CrossRef Huang DYC, Murphy DA, Hser YI. Parental monitoring during early adolescence deters adolescent sexual initiation: discrete-time survival mixture analysis. J Child Fam Stud. 2011;20:511e20.CrossRef
28.
go back to reference McQueston K, Silverman R, Glassman A. The efficacy of interventions to reduce adolescent childbearing in low- and middle-income countries: a systematic review. Stud Fam Plann. 2013;44(4):369e388.CrossRef McQueston K, Silverman R, Glassman A. The efficacy of interventions to reduce adolescent childbearing in low- and middle-income countries: a systematic review. Stud Fam Plann. 2013;44(4):369e388.CrossRef
29.
go back to reference Greed C. Taking women’s bodily functions into account in urban planning and sustainability: sanitation, toilets, menstruation. in 21st International Sustainability Development Research Society (ISDRS) Conference, The Tipping Point: Vulnerability and Adaptive Capacity, Geelong; 2015. Available from: http://eprints.uwe.ac.uk/25927. Accessed 2015. Greed C. Taking women’s bodily functions into account in urban planning and sustainability: sanitation, toilets, menstruation. in 21st International Sustainability Development Research Society (ISDRS) Conference, The Tipping Point: Vulnerability and Adaptive Capacity, Geelong; 2015. Available from: http://​eprints.​uwe.​ac.​uk/​25927. Accessed 2015.
30.
go back to reference Mroz T. Discrete factor approximations for use in simultaneous equation models: estimating the impact of a dummy endogenous variable on a continuous outcome. J Econometrics. 1999;92:233–74.CrossRef Mroz T. Discrete factor approximations for use in simultaneous equation models: estimating the impact of a dummy endogenous variable on a continuous outcome. J Econometrics. 1999;92:233–74.CrossRef
31.
go back to reference Guilkey DK, Lance PM. Program impact estimation with binary outcome variables: Monte Carlo results for alternative estimators and empirical examples. In: Sickles RC, Horrace WC, editors. Festschrift in honor of Peter Schmidt: econometric methods and applications. New York: Springer Science and Business Media; 2014. p. 5–46.CrossRef Guilkey DK, Lance PM. Program impact estimation with binary outcome variables: Monte Carlo results for alternative estimators and empirical examples. In: Sickles RC, Horrace WC, editors. Festschrift in honor of Peter Schmidt: econometric methods and applications. New York: Springer Science and Business Media; 2014. p. 5–46.CrossRef
32.
go back to reference Bhargava A. Identification and panel data models with endogeneous regressors. Rev Econ Stud. 1991;58(1):129–40.CrossRef Bhargava A. Identification and panel data models with endogeneous regressors. Rev Econ Stud. 1991;58(1):129–40.CrossRef
Metadata
Title
Examination of youth sexual and reproductive health transitions in Nigeria and Kenya using longitudinal data
Authors
Ilene S. Speizer
David Guilkey
Lisa M. Calhoun
Meghan Corroon
Rick O’Hara
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2017
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-017-4039-8

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