Skip to main content

Advertisement

Log in

Posterity and population growth: fertility intention among a cohort of Nigerian adolescents

  • Original Research
  • Published:
Journal of Population Research Aims and scope Submit manuscript

Abstract

Population growth is probably the greatest global challenge of the twenty-first century and fertility is a central element of this growth. Fertility is a human attribute which depends almost entirely on social, economic, political, cultural and psychological frameworks, making fertility intention an element of what individuals learn from a very young age as part of their socialisation into society. The fundamental significance of socio-psychological, environmental and cultural factors in what adolescents are assimilating on fertility cannot be exaggerated, yet, relevant information is limited. Eight factors deduced from ecological model and theory of planned behaviour were used to predict fertility intention among a cohort of Nigerian adolescents, using cross-sectional design. Mean fertility intention was 4.06 ± 1.34. Age and religion had no effect, but gender did. Self esteem, perceived parental expectation of fertility, attitude towards fertility and peer-related subjective norm are significant predictors. Media and ethnic attitude are insignificant predictors of, but are significantly related to fertility intention. Attitude towards a four-child family and perceived behavioural control yielded insignificant relationships with, and also failed to predict fertility intention. Perceived parental expectation of fertility, an interpersonal factor of the ecological model is the single most important predictor (β = 0.707, R2 = 0.506, r = 0.711, and partial r = 0.710). Fertility intention points towards fertility decline, though sluggish and diminutive, thereby failing to reflect the need of Nigeria’s population pyramid to thin out from the base.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckman (Eds.), Action-control: From cognition to behavior (pp. 11–39). Heidelberg: Springer.

    Google Scholar 

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes,50, 179–211.

    Google Scholar 

  • Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology,32, 665–683.

    Google Scholar 

  • Ajzen, I., & Klobas, J. (2013). Fertility intentions: An approach based on the theory of planned behavior. Demographic Research,29(8), 203–232.

    Google Scholar 

  • Armsden, G. C., & Greenberg, M. T. (1987). The inventory of parent and peer attachment: Individual differences and their relation to psychological well-being in adolescence. Journal of Youth and Adolescence,16, 427–454.

    Google Scholar 

  • Arnocky, S., Dupuis, D., & Stroink, M. L. (2012). Environmental concern and fertility intentions among Canadian university students. Population and Environment,34(2), 279–292.

    Google Scholar 

  • Babalola, S., John, N., Ajao, B., & Speizer, I. S. (2015). Ideation and intention to use contraceptives in Kenya and Nigeria. Demographic Research,33(8), 211–238.

    Google Scholar 

  • Bankole, A. (1995). Desired fertility and fertility behaviour among the Yoruba of Nigeria: A study of couple preferences and subsequent fertility. Population Studies: A Journal of Demography,49(2), 317–328.

    Google Scholar 

  • Barber, K. (1981). How man makes God in West Africa: Yoruba attitudes towards the Orisa. Journal of the International African Institute,51(3), 724–745.

    Google Scholar 

  • Billari, F. C., Philipov, D., & Testa, M. R. (2009). Attitudes, norms and perceived behavioral control: Explaining fertility intentions in Bulgaria. European Journal of Population,25(4), 439–465.

    Google Scholar 

  • Bongaarts, J. (2017). Africa’s unique fertility transition. Population and Development Review,43(S1), 39–58.

    Google Scholar 

  • Bryant, J. (2007). Theories of fertility decline and the evidence from development indicators. Population and Development Review,33(1), 101–127.

    Google Scholar 

  • Chen, G., Gully, S. M., & Eden, D. (2001). Validation of a new general self-efficacy scale. Organizational Research Methods,4(1), 62–83.

    Google Scholar 

  • Cleland, J., & Machiyama, K. (2017). The challenges posed by demographic change in sub-Saharan Africa: A concise overview. Population and Development Review,43(S1), 264–286.

    Google Scholar 

  • Connelly, M. (2006). To inherit the earth. Imagining world population, from the yellow peril to the population bomb. Journal of Global History,1(3), 299–319.

    Google Scholar 

  • Dyson, T. (2010). Population and development: The demographic transition. London: Zed Books.

    Google Scholar 

  • Egger, G., & Swinburn, B. (1997). An “ecological” approach to the obesity pandemic. British Medical Journal,315(7106), 477–480.

    Google Scholar 

  • Federal Ministry of Health, Nigeria. (1988). National policy on population for development. Nigeria: Lagos.

    Google Scholar 

  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. New York: Psychology Press.

    Google Scholar 

  • Flay, B. R., & Petraitis, J. (1994). The theory of triadic influence: A new theory of health behavior with implications for preventive interventions. Advances in Medical Sociology,4, 19–44.

    Google Scholar 

  • Graff, M., & Bremner, J. (2014). A practical guide to population and development. Washington, DC: Population Reference Bureau.

    Google Scholar 

  • Hirschman, C. (2001). Globalization and theories of fertility decline. Population and Development Review,27(Suppl.), 116–125.

    Google Scholar 

  • Isiugo-Abanihe, U. C. (1994). Reproductive motivation and family-size preferences among Nigerian men. Studies in Family Planning,25(3), 149–161.

    Google Scholar 

  • Islam, M. M., & Bairagi, R. (2003). Fertility intentions and subsequent fertility behaviour in Matlab: Do fertility intentions matter?”. Journal of Biosocial Science,35(4), 615–619.

    Google Scholar 

  • Ki-moon, B. (2016). Sustainability—Engaging future generations now. The Lancet,387(10036), 2356–2358.

    Google Scholar 

  • La Ferrara, E., Chong, A., & Duryea, S. (2012). Soap operas and fertility: Evidence from Brazil. American Economic Journal: Applied Economics,4(4), 1–31.

    Google Scholar 

  • Lancet. (2017). An African-driven health agenda. Lancet,390(10090), 96.

    Google Scholar 

  • Lesthaeghe, R. (2010). The unfolding story of the second demographic transition. Population and Development Review,36(2), 211–251.

    Google Scholar 

  • McLeroy, K. R., Bibeau, D., Steckler, A., & Glanz, K. (1988). An ecological perspective on health promotion programs. Health Education Quarterly,15(4), 351–377.

    Google Scholar 

  • McNeely, C., & Blanchard, J. (2009). The teen years explained: A guide to healthy adolescent development. Baltimore, MD: Johns Hopkins University.

    Google Scholar 

  • Meadows, D. H., Meadows, D. L., Randers, J., & Behrens, W. W., III. (1972). The limits to growth: A report for the Club of Rome’s project on the predicament of mankind. New York: Universe Books.

    Google Scholar 

  • Mencarini, L., Vignoli, D., & Gottard, A. (2015). Fertility intentions and outcomes: Implementing the theory of planned behavior with graphical models. Advances in Life Course Research,23, 14–28.

    Google Scholar 

  • Miller, W. B., & Pasta, D. J. (1995). Behavioral intentions: Which ones predict fertility behavior in married couples? Journal of Applied Social Psychology,25(6), 530–555.

    Google Scholar 

  • National Population Commission (NPC). (2013). Nigeria over 167 million. https://www.population.gov.ng/index.php/84-news/latest/106-nigeria-over-167-million-population-implications-and-challenges. Accessed 17 April, 2015.

  • National Population Commission (NPC) [Nigeria] and ICF International. (2014). Nigeria Demographic and Health Survey 2013. Abuja, Nigeria, and Rockville, Maryland, USA.

  • NICHD Early Child Care Research Network, NICHD Study of Early Child Care and Youth Development: Phase IV, 2005–2008. (2010). [United States] (Ann Arbor, MI: Inter-University Consortium for Political and Social Research).

  • Oyediran, K. A., & Isiugo-Abanihe, U. C. (2002). Husband-wife communication and couple’s fertility desires among the Yoruba of Nigeria. African Population Studies,17(2), 61–80.

    Google Scholar 

  • Rosenberg, M. (1979). Conceiving the self. New York: Basic Books.

    Google Scholar 

  • Sawyer, S. M., Afifi, R. A., Bearinger, L. H., Blakemore, S., Dick, B., Ezeh, A. C., et al. (2012). Adolescence: A foundation for future health. The Lancet,379(9826), 1630–1640.

    Google Scholar 

  • Schoen, R., Astone, N. M., Kim, Y. J., Nathanson, C. A., & Fields, J. M. (1999). Do fertility intentions affect fertility behavior?”. Journal of Marriage and Family,61(3), 790–799.

    Google Scholar 

  • Singh, S., Bankole, A., & Darroch, J. E. (2017). The impact of contraceptive use and abortion on fertility in sub-Saharan Africa: Estimates for 2003–2014. Population and Development Review,43(S1), 141–165.

    Google Scholar 

  • Sitarz, D. (1993). Agenda 21: The earth summit strategy to save our planet. Boulder CO: Earth Press.

    Google Scholar 

  • Tan, P. C., & Tey, N. P. (1994). Do fertility intentions predict subsequent behavior? Evidence from Peninsular Malaysia. Studies in Family Planning,25(4), 222–231.

    Google Scholar 

  • Testa, M. R., & Toulemon, L. (2006). Family formation in France: Individual preferences and subsequent outcomes. Vienna Yearbook of Population Research,4, 41–75.

    Google Scholar 

  • UNICEF. (2011). The state of the world’s children adolescence: An age of opportunity. New York: United Nations.

    Google Scholar 

  • United Nations, Department of Economic and Social Affairs, Population Division. (2017). World population prospects: The 2017 revision, key findings and advance tables. Working Paper No. ESA/P/WP/248. https://esa.un.org/unpd/wpp/Publications/Files/WPP2017_KeyFindings.pdf. Accessed 8 July, 2017.

  • World Health Organization. (2009). Strengthening the health sector response to adolescent health and development. Geneva: World Health Organization.

    Google Scholar 

  • Zhao, Y., & Frank, K. A. (2003). Factors affecting technology uses in schools: An ecological perspective. American Educational Research Journal,40(4), 807–840.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fausat M. Ibrahim.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ibrahim, F.M., Arulogun, O.S. Posterity and population growth: fertility intention among a cohort of Nigerian adolescents. J Pop Research 37, 25–52 (2020). https://doi.org/10.1007/s12546-019-09230-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12546-019-09230-z

Keywords

Navigation