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Published in: BMC Public Health 1/2022

Open Access 01-12-2022 | Research

Socioeconomic inequalities in teenage pregnancy in Nigeria: evidence from Demographic Health Survey

Authors: Chijioke Ifeanyi Okoli, Mohammad Hajizadeh, Mohammad Mafizur Rahman, Eswaran Velayutham, Rasheda Khanam

Published in: BMC Public Health | Issue 1/2022

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Abstract

Background

Despite the high rate of teenage pregnancy in Nigeria and host of negative medical, social and economic consequences that are associated with the problem, relatively few studies have examined socioeconomic inequality in teenage pregnancy. Understanding the key factors associated with socioeconomic inequality in teenage pregnancy is essential in designing effective policies for teenage pregnancy reduction. This study focuses on measuring inequality and identifying factors explaining socioeconomic inequality in teenage pregnancy in Nigeria.

Methods

This is a cross sectional study using individual recode (data) file from the 2018 Nigeria Demographic Health Survey. The dataset comprises a representative sample of 8,423 women of reproductive age 15 – 19 years in Nigeria. The normalized Concentration index (Cn) was used to determine the magnitude of inequalities in teenage pregnancy. The Cn was decomposed to determine the contribution of explanatory factors to socioeconomic inequalities in teenage pregnancy in Nigeria.

Results

The negative value of the Cn (-0.354; 95% confidence interval [CI] = -0.400 to -0.308) suggests that pregnancy is more concentrated among the poor teenagers. The decomposition analysis identified marital status, wealth index of households, exposure to information and communication technology, and religion as the most important predictors contributing to observed concentration of teenage pregnancy in Nigeria.

Conclusion

There is a need for targeted intervention to reduce teenage pregnancy among low socioeconomic status women in Nigeria. The intervention should break the intergenerational cycle of low socioeconomic status that make teenagers’ susceptible to unintended pregnancy. Economic empowerment is recommended, as empowered girls are better prepared to handle reproductive health issues. Moreover, religious bodies, parents and schools should provide counselling, and guidance that will promote positive reproductive and sexual health behaviours to teenagers.
Literature
2.
go back to reference Bolarinwa OA, Tessema ZT, Frimpong JB, Babalola TO, Ahinkorah BO, Seidu AA. Spatial distribution and factors associated with adolescent pregnancy in Nigeria: a multi-level analysis. Arch Public Health. 2022;80(1):43.CrossRef Bolarinwa OA, Tessema ZT, Frimpong JB, Babalola TO, Ahinkorah BO, Seidu AA. Spatial distribution and factors associated with adolescent pregnancy in Nigeria: a multi-level analysis. Arch Public Health. 2022;80(1):43.CrossRef
3.
go back to reference Chirwa GC, Mazalale J, Likupe G, Nkhoma D, Chiwaula L, Chintsanya J. An evolution of socioeconomic related inequality in teenage pregnancy and childbearing in Malawi. PLoS ONE. 2019;14(11):e0225374.CrossRef Chirwa GC, Mazalale J, Likupe G, Nkhoma D, Chiwaula L, Chintsanya J. An evolution of socioeconomic related inequality in teenage pregnancy and childbearing in Malawi. PLoS ONE. 2019;14(11):e0225374.CrossRef
4.
go back to reference Gunawardena N, Fantaye AW, Yaya S. Predictors of pregnancy among young people in sub-Saharan Africa: a systematic review and narrative synthesis. BMJ Glob Health. 2019;4(3):e001499.CrossRef Gunawardena N, Fantaye AW, Yaya S. Predictors of pregnancy among young people in sub-Saharan Africa: a systematic review and narrative synthesis. BMJ Glob Health. 2019;4(3):e001499.CrossRef
5.
go back to reference Ntegwa MJ, Miho A. Trends and Causes of Socio-economic Inequality In Teenage Pregnancy and Childbearing in Tanzania. Journal of Education, Humanities and Sciences. 2021;10(2):18. Ntegwa MJ, Miho A. Trends and Causes of Socio-economic Inequality In Teenage Pregnancy and Childbearing in Tanzania. Journal of Education, Humanities and Sciences. 2021;10(2):18.
6.
go back to reference Ali A, Khaliq A, Lokeesan L, Meherali S, Lassi ZS. Prevalence and predictors of teenage pregnancy in Pakistan: a trend analysis from Pakistan Demographic and Health Survey datasets from 1990 to 2018. Int Health. 2022;14(2):176–82.CrossRef Ali A, Khaliq A, Lokeesan L, Meherali S, Lassi ZS. Prevalence and predictors of teenage pregnancy in Pakistan: a trend analysis from Pakistan Demographic and Health Survey datasets from 1990 to 2018. Int Health. 2022;14(2):176–82.CrossRef
7.
go back to reference Yakubu I, Salisu WJ. Determinants of adolescent pregnancy in sub-Saharan Africa: a systematic review. Reprod Health. 2018;15(1):15.CrossRef Yakubu I, Salisu WJ. Determinants of adolescent pregnancy in sub-Saharan Africa: a systematic review. Reprod Health. 2018;15(1):15.CrossRef
8.
go back to reference Woodward LJ. Teenage pregnancy: cause for concern. N Z Med J. 2001;114(1135):4. Woodward LJ. Teenage pregnancy: cause for concern. N Z Med J. 2001;114(1135):4.
9.
go back to reference Cunnington AJ. What’s so bad about teenage pregnancy? J Fam Plann Reprod Health Care. 2000;27(1):6. Cunnington AJ. What’s so bad about teenage pregnancy? J Fam Plann Reprod Health Care. 2000;27(1):6.
10.
go back to reference Karatasli V, Kanmaz AG, Inan AH, Budak A, Beyan E. Maternal and neonatal outcomes of adolescent pregnancy. J Gynecol Obstet Hum Reprod. 2019;48(5):347–50.CrossRef Karatasli V, Kanmaz AG, Inan AH, Budak A, Beyan E. Maternal and neonatal outcomes of adolescent pregnancy. J Gynecol Obstet Hum Reprod. 2019;48(5):347–50.CrossRef
11.
go back to reference Alabi OT, Oni IO. Teenage Pregnancy in Nigeria: Causes, Effect and Control. International Journal of Academic Research in Business and Social Sciences. 2017;7(2):16. Alabi OT, Oni IO. Teenage Pregnancy in Nigeria: Causes, Effect and Control. International Journal of Academic Research in Business and Social Sciences. 2017;7(2):16.
12.
go back to reference Akanbi MA, Ope BW, Adeloye DO, Amoo EO, Iruonagbe TC, Omojola O: Influence of socio-economic factors on prevalence of teenage pregnancy in Nigeria. African Journal of Reproductive Health 2012, 25(5s)(137):9. Akanbi MA, Ope BW, Adeloye DO, Amoo EO, Iruonagbe TC, Omojola O: Influence of socio-economic factors on prevalence of teenage pregnancy in Nigeria. African Journal of Reproductive Health 2012, 25(5s)(137):9.
13.
go back to reference National Population Commission, ICF International: Nigeria Demographic and Health Survey 2018. In. Maryland, USA: United States Agency for International Development (USAID); 2019. National Population Commission, ICF International: Nigeria Demographic and Health Survey 2018. In. Maryland, USA: United States Agency for International Development (USAID); 2019.
14.
go back to reference Salami KK, Ayegboyin M. Intergenerational Life Courses of Teenage Pregnancy in Ogbomosho South-Western Nigeria. Child Soc. 2015;29(5):451–61.CrossRef Salami KK, Ayegboyin M. Intergenerational Life Courses of Teenage Pregnancy in Ogbomosho South-Western Nigeria. Child Soc. 2015;29(5):451–61.CrossRef
15.
go back to reference Ochiogu IN, Miettola J, Ilika AL, Vaskilampi T. Impact of timing of sex education on teenage pregnancy in Nigeria: cross-sectional survey of secondary school students. J Community Health. 2011;36(3):375–80.CrossRef Ochiogu IN, Miettola J, Ilika AL, Vaskilampi T. Impact of timing of sex education on teenage pregnancy in Nigeria: cross-sectional survey of secondary school students. J Community Health. 2011;36(3):375–80.CrossRef
16.
go back to reference Senanayake P, Faulkner KM. Unplanned teenage pregnancy. Best Pract Res Clin Obstet Gynaecol. 2003;17(1):117–29.CrossRef Senanayake P, Faulkner KM. Unplanned teenage pregnancy. Best Pract Res Clin Obstet Gynaecol. 2003;17(1):117–29.CrossRef
17.
go back to reference Kearney MS, Levine PB. Investigating recent trends in the U.S. teen birth rate. J Health Econ. 2015;41:15–29.CrossRef Kearney MS, Levine PB. Investigating recent trends in the U.S. teen birth rate. J Health Econ. 2015;41:15–29.CrossRef
18.
go back to reference Paton D, Bullivant S, Soto J. The impact of sex education mandates on teenage pregnancy: International evidence. Health Econ. 2020;29(7):790–807.CrossRef Paton D, Bullivant S, Soto J. The impact of sex education mandates on teenage pregnancy: International evidence. Health Econ. 2020;29(7):790–807.CrossRef
19.
go back to reference Amoran OE. A comparative analysis of predictors of teenage pregnancy and it prevention in a rural town in Western Nigeria. Int J Equity Health. 2012;11(37):1–7. Amoran OE. A comparative analysis of predictors of teenage pregnancy and it prevention in a rural town in Western Nigeria. Int J Equity Health. 2012;11(37):1–7.
20.
go back to reference Federal Ministry of Health Nigeria: Second National Strategic Health Development Plan 2018 - 2022. In. Abuja, Nigeria: Federal Ministry of Health; 2018. Federal Ministry of Health Nigeria: Second National Strategic Health Development Plan 2018 - 2022. In. Abuja, Nigeria: Federal Ministry of Health; 2018.
21.
go back to reference National Bureau of Statistics. The National Literacy Survey. Abuja: National Bureau of Statistics; 2010. p. 1–87. National Bureau of Statistics. The National Literacy Survey. Abuja: National Bureau of Statistics; 2010. p. 1–87.
22.
go back to reference NBS. National Youth Survey. Abuja: National Bureau of Statistics; 2020. p. 1–163. NBS. National Youth Survey. Abuja: National Bureau of Statistics; 2020. p. 1–163.
23.
go back to reference Odo AN, Samuel ES, Nwagu EN, Nnamani PO, Atama CS. Sexual and reproductive health services (SRHS) for adolescents in Enugu state, Nigeria: a mixed methods approach. BMC Health Serv Res. 2018;18(1):92.CrossRef Odo AN, Samuel ES, Nwagu EN, Nnamani PO, Atama CS. Sexual and reproductive health services (SRHS) for adolescents in Enugu state, Nigeria: a mixed methods approach. BMC Health Serv Res. 2018;18(1):92.CrossRef
24.
go back to reference National Bureau of Statistics, Federal Ministry of Youth Dev: National Baseline Youth Survey. Abuja: National Bureau of Statistics; 2012. p. 1-146. National Bureau of Statistics, Federal Ministry of Youth Dev: National Baseline Youth Survey. Abuja: National Bureau of Statistics; 2012. p. 1-146.
25.
go back to reference Filmer D, Pritchett LH. Estimating wealth effects without expenditure data or tears: an application to education enrollments in states of India. Demography. 2001;38(1):115–32.PubMed Filmer D, Pritchett LH. Estimating wealth effects without expenditure data or tears: an application to education enrollments in states of India. Demography. 2001;38(1):115–32.PubMed
26.
go back to reference ICF International: Demographic and Health Surveys Standard Recode Manual for DHS7. In. Rockville, Maryland, U.S.A: USAID; 2018. ICF International: Demographic and Health Surveys Standard Recode Manual for DHS7. In. Rockville, Maryland, U.S.A: USAID; 2018.
27.
go back to reference Vyas S, Kumaranayake L. Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan. 2006;21(6):459–68.CrossRef Vyas S, Kumaranayake L. Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan. 2006;21(6):459–68.CrossRef
28.
go back to reference O’Donnell O, van Doorslaer E, Wagstaff A, Lindelow M. Analyzing Health Equity Using Household Survey Data: A Guide to Techniques and Their Implementation. Washington, D.C.: The World Bank; 2008. O’Donnell O, van Doorslaer E, Wagstaff A, Lindelow M. Analyzing Health Equity Using Household Survey Data: A Guide to Techniques and Their Implementation. Washington, D.C.: The World Bank; 2008.
29.
go back to reference Wagstaff A, Van Doorslaer E, Watanabe N. On decomposingthe causes of health sector inequalities with an application to malnutrition inequalities in Vietnam. Journal of Econometrics. 2003;112:207–23.CrossRef Wagstaff A, Van Doorslaer E, Watanabe N. On decomposingthe causes of health sector inequalities with an application to malnutrition inequalities in Vietnam. Journal of Econometrics. 2003;112:207–23.CrossRef
30.
go back to reference Wagstaff A, Watanabe N. What difference does the choice of SES make in health inequality measurement? Health Econ. 2003;12(10):885–90.CrossRef Wagstaff A, Watanabe N. What difference does the choice of SES make in health inequality measurement? Health Econ. 2003;12(10):885–90.CrossRef
31.
go back to reference Wagstaff A. The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality. Health Econ. 2005;14(4):429–32.CrossRef Wagstaff A. The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality. Health Econ. 2005;14(4):429–32.CrossRef
32.
go back to reference StataCorp: Software for Statistics and Data Science. In., vol. Stata/SE, 13 edn. TX, U.S.A: StataCorp; 2013. StataCorp: Software for Statistics and Data Science. In., vol. Stata/SE, 13 edn. TX, U.S.A: StataCorp; 2013.
33.
go back to reference Byonanebye J, Brazauskas R, Tumwesigye N, Young S, May T, Cassidy L. Geographic variation and risk factors for teenage pregnancy in Uganda. Afr Health Sci. 2020;20(4):1898–907.CrossRef Byonanebye J, Brazauskas R, Tumwesigye N, Young S, May T, Cassidy L. Geographic variation and risk factors for teenage pregnancy in Uganda. Afr Health Sci. 2020;20(4):1898–907.CrossRef
34.
go back to reference UNICEF. Ending Child Marriage: Progress and Prospects. New York: UNICEF; 2014. p. 1–8. UNICEF. Ending Child Marriage: Progress and Prospects. New York: UNICEF; 2014. p. 1–8.
35.
go back to reference Avogo WA, Somefun OD. Early Marriage, Cohabitation, and Childbearing in West Africa. J Environ Public Health. 2019;2019:9731756.CrossRef Avogo WA, Somefun OD. Early Marriage, Cohabitation, and Childbearing in West Africa. J Environ Public Health. 2019;2019:9731756.CrossRef
36.
go back to reference Azevedo JP, Lopez-Calva LF, Perova E. Is the baby to blame? An inquiry into the consequences of early childbearing. In. Latin America and the Caribbean Region: The World Bank. 2012:6074:1–44. Azevedo JP, Lopez-Calva LF, Perova E. Is the baby to blame? An inquiry into the consequences of early childbearing. In. Latin America and the Caribbean Region: The World Bank. 2012:6074:1–44.
37.
go back to reference Asaolu IO, Okafor CT, Ehiri JC, Dreifuss HM, Ehiri JE. Association between Measures of Women’s Empowerment and Use of Modern Contraceptives: An Analysis of Nigeria’s Demographic and Health Surveys. Front Public Health. 2016;4:293.PubMed Asaolu IO, Okafor CT, Ehiri JC, Dreifuss HM, Ehiri JE. Association between Measures of Women’s Empowerment and Use of Modern Contraceptives: An Analysis of Nigeria’s Demographic and Health Surveys. Front Public Health. 2016;4:293.PubMed
Metadata
Title
Socioeconomic inequalities in teenage pregnancy in Nigeria: evidence from Demographic Health Survey
Authors
Chijioke Ifeanyi Okoli
Mohammad Hajizadeh
Mohammad Mafizur Rahman
Eswaran Velayutham
Rasheda Khanam
Publication date
01-12-2022
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2022
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-022-14146-0

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