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Exploring Spatial Variations, Trend and Effect of Exposure to Media as an Enhancer to Uptake of Modern Family Planning Methods: Evidence from 2003 to 2018 Nigeria Demographic Health Survey

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Abstract

The use of family planning (FP) methods is still very low in most developing countries especially Nigeria. Understanding the trend and determinants has become important in developing interventions to enhance uptake of modern methods. The effect of knowledge of sources of information on family planning and other reproductive health issues can also aid in proper targeting of interventions. In order to understand the progress in the use of modern FP in Nigeria, this paper utilized data from the Nigeria Demographic and Health Survey from 2003 to 2018 to analyse trend, spatial variations and the determinants over the fifteen year period. Structured additive regression approach that is motivated by Bayesian framework was employed. Effects of metrical covariates were modelled through smooth functions based on Bayesian P-splines while Gaussian Markov random field prior was assumed for the spatial effect. The findings exhibit north–south divide in the use of modern FP with women from the northern part of the country being less likely to adopt modern FP. The source of information about FP reveal that women who got informed through radio, television, magazine, FP worker or someone were more likely to use a method; women from households where the husband wants more children were less likely to adopt modern FP but where they both want the same or the husband wants fewer, the odds of using modern FP are higher. Findings are meant to aid evidence-based decision making that can contribute towards attaining the relevant Sustainable Development Goals.

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References

  • Abiodun, O. M., & Balogun, O. R. (2009). Sexual activity and contraceptive use among young female students of tertiary educational institution in Ilorin, Nigeria. Contraception, 79(2), 146–149.

    Article  Google Scholar 

  • Adebayo, S. B. (2004). Bayesian geoadditive modelling of breastfeeding initiation in Nigeria. Journal of Applied Econometrics, 19(2), 267–281.

    Article  Google Scholar 

  • Adebayo, S. B., Gayawan, E., Ujuju, C., & Ankomah, A. (2013). Modelling geographical variations and determinants of use of modern family planning methods among women of reproductive age in Nigeria. Journal of Biosocial Science, 45(1), 57–77. https://doi.org/10.1017/S0021932012000326.

    Article  Google Scholar 

  • Adebowale, S. A., & Palamuleni, M. E. (2015). Influence of gender preference and sex composition of surviving children on childbearing intention among high fertility married women in stable union in Malawi. African Health Sciences, 15(1), 150–160.

    Article  Google Scholar 

  • Ahmed, S., Choi, Y., Rimon, J. G., Alzouma, S., Gichangi, P., Guiella, G., et al. (2019). Trends in contraceptive prevalence rates in sub-Saharan Africa since the 2012 London Summit on Family Planning: results from repeated cross-sectional surveys. The Lancet Global Health, 7(7), E904–E911.

    Article  Google Scholar 

  • Ajayi, A. I., Adeniyi, O. V., & Akpan, W. (2018a). Maternal health care visits as predictors of contraceptive use among childbearing women in a medically underserved state in Nigeria. Journal of Health, Population and Nutrition. https://doi.org/10.1186/s41043-018-0150-4.

    Article  Google Scholar 

  • Ajayi, A. I., Adeniyi, O. V., & Akpan, W. (2018b). Use of traditional and modern contraceptives among childbearing women: Findings from a mixed methods study in two southwestern Nigerian states. BMC Public Health. https://doi.org/10.1186/s12889-018-5522-6.

    Article  Google Scholar 

  • Alaba, O. O., Olaomi, J. O., & Olubusoye, O. E. (2015). Spatial pattern and determinants of unmet need of family planning in Nigeria. South Africa Family Practice, 57(5), 306–312.

    Article  Google Scholar 

  • Amin, S., Basu, A. M., & Stephenson, R. (2002). Spatial variation in contraceptive use in Bangladesh: Looking beyond the borders. Demograhy, 39, 251–267.

    Article  Google Scholar 

  • Ankomah, A., Anyanti, J., Adebayo, S. B., & Giwa, A. (2013). Barriers to contraceptive use among married young adults in Nigeria: A qualitative study. International Journal of Tropical Disease & Health, 3(3), 267–282.

    Article  Google Scholar 

  • Ba, D. M., Ssentongo, P., Agbese, E., & Kjerulff, K. H. (2019). Prevalence and predictors of contraceptive use among women of reproductive age in 17 sub-Saharan African countries: A large population-based study. Sexual & Reproductive Healthcare, 21, 26–32.

    Article  Google Scholar 

  • Babalola, S., Kusemiju, B., Calhoun, L., & Ajao, M. C. B. (2015). Factors associated with contraceptive ideation among urban men in Nigeria. International Journal of Gynecology & Obstetrics, 130(S3), E42–E46.

    Article  Google Scholar 

  • Babalola, S., & Oyenubi, O. (2018). Factors explaining the North-South differentials in contraceptive use in Nigeria: A nonlinear decomposition analysis. Demographic Research, 38(12), 287–308.

    Article  Google Scholar 

  • Bankole, A., & Audam, S. (2011). Fertility preferences and contraceptive use among couples in sub-Saharan Africa. African Population Studies, 25(2), 556–586.

    Article  Google Scholar 

  • Belitz, C. (2007). Model selection in generalized structured additive regression models. Munich: University of Munich.

    Google Scholar 

  • Belitz, C., Brezger, A., Klein, N., Kneib, T., Lang, S., & Umlauf, N. (2015). BayesX—Bayesian inference in structured additive regression models. Retreived March 20, 2016, from. http://www.uni-goettingen.de/de/bayesx/550513.html.

  • Belitz, C., & Lang, S. (2008). Simultaneous selection of variables and smoothing parameters in structured additive regression models. Computational Statistics and Data Analysis, 53, 61–81.

    Article  Google Scholar 

  • Buyinza, F., & Hisali, E. (2013). Microeffects of women’s education on contraceptive use and fertility: The case of Uganda. Journal of International Development, 26(6), 763–778.

    Article  Google Scholar 

  • Caldwell, J. C., Orubuloye, I. O., & Caldwell, P. (1992). Fertility decline in Africa: A new type of transition? Population and Development Review, 18(2), 211–242. https://doi.org/10.2307/1973678.

    Article  Google Scholar 

  • Chatterjee, S., & Price, B. (1991). Regression analysis by example. New York: Wiley Interscience.

    Google Scholar 

  • Draper, N., & Smith, H. (1981). Applied regression analysis (2nd ed.). New York: Wiley.

    Google Scholar 

  • Eilers, P. H. C., & Marx, B. D. (1996). Flexible smoothing with B-splines and penalties. Statistical Science, 11(2), 89–121.

    Article  Google Scholar 

  • Etukudo, I. W. (2015). Information as determinant of utilization of family planning services in rural Akwa Ibom State of South-South Nigeria. Mediterranean Journal of Social Sciences, 6(4), 445–453.

    Google Scholar 

  • Ezenwaka, U., Mbachu, C., Ezumah, N., Eze, I., Agu, C., Agu, I., et al. (2020). Exploring factors constraining utilization of contraceptive services among adolescents in Southeast Nigeria: An application of the socio-ecological model. BMC Public Health. https://doi.org/10.1186/s12889-020-09276-2.

    Article  Google Scholar 

  • Gayawan, E. (2014). Spatial analysis of choice of place of delivery in Nigeria. Sexual & Reproductive Healthcare, 5, 59–67.

    Article  Google Scholar 

  • Islam, S. (2009). Differential determinants of birth spacing since marriage to first live birth in rural Bangladesh. Pertanika Journal of Social Sciences & Humanities, 17(1), 1–6.

    Google Scholar 

  • Lang, S., & Brezger, A. (2004). Bayesian P-splines. Journal of Computational and Graphical Statistics, 13, 183–212.

    Article  Google Scholar 

  • Lasong, J., Zhang, Y., Gebremedhin, S. A., Opoku, S., Abaidoo, C. S., Mkandawire, T., et al. (2020). Determinants of modern contraceptive use among married women of reproductive age: A cross-sectional study in rural Zambia. British Medical Journal Open, 10(3), e030980.

    Google Scholar 

  • Magnusson, B. M., Masho, S. W., & Lapane, K. L. (2012). Early age at first intercourse and subsequent gaps in contraceptive use. Journal of Women’s Health, 21(1), 73–79.

    Article  Google Scholar 

  • Martinez, G. M., & Abma, J. C. (2020). Sexual activity and contraceptive use among teenagers aged 15–19 in the United States, 2015–2017. NCHS Data Brief, 366, 1–8.

    Google Scholar 

  • Mersha, A. G. (2019). Male involvement in the maternal health care system: Implication towards decreasing the high burden of maternal mortality. BMC Pregnancy and Childbirth. https://doi.org/10.1186/s12884-018-2139-9.

    Article  Google Scholar 

  • Mohammed, A., Agwu, P., & Okoye, U. (2020). When primary healthcare facilities are available but mothers look the other way: Maternal mortality in Northern Nigeria. Social Work in Public Health, 35(1–2), 11–20.

    Article  Google Scholar 

  • Monjok, E., Smesny, A., Ekabua, J. E., & Essien, E. J. (2010). Contraceptive practices in Nigeria: Literature review and recommendation for future policy decisions. Open Access Journal of Contraception, 1, 9–22.

    Article  Google Scholar 

  • Mosha, I., Ruben, R., & Kakoko, D. (2013). Family planning decisions, perceptions and gender dynamics among couples in Mwanza, Tanzania: A qualitative study. BMC Public Health, 13(523), 1–13.

    Google Scholar 

  • Neter, J., Kutner, M., Nachtsheim, C., & Wasserman, W. (1996). Applied linear statistical models (4th ed.). New York: McGraw-Hill/Irwin.

    Google Scholar 

  • NPC, & ICF International. (2009). Nigeria Demographic and Health Survey 2008. Abuja, Nigeria and Rockville, MD: National Population Commission [Nigeria] and ICF International.

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

  • NPC, & ICF International (2019). Nigeria Demographic and Health Survey. Abuja, Nigeria and Rockville, MD: National Population Commission [Nigeria] and ICF International.

  • Okunade, K. S., Daramola, E., Ajepe, A., & Sekumade, A. (2016). A 3-year review of the pattern of contraceptive use among women attending the family planning clinic of a University Teaching Hospital in Lagos, Nigeria. African Journal of Medical and Health Sciences, 15(2), 69–73.

    Article  Google Scholar 

  • Oluwasanu, M. M., John-Akinola, Y. O., Desmennu, A. T., Oladunni, O., & Adebowale, A. S. (2019). Access to information on family planning and use of modern contraceptives among married Igbo Women in Southeast, Nigeria. International Quarterly of Community Health Education, 39(4), 233–243. https://doi.org/10.1177/0272684X18821300.

    Article  Google Scholar 

  • Orji, E. O., Ojofeitimi, E. O., & Olanrewaju, B. A. . (2007). The role of men in family planning decision-making in rural and urban Nigeria. The European Journal of Contraception & Reproductive Health Care, 12(1), 70–75.

    Article  Google Scholar 

  • Oye-Adeniran, B. A., Adewole, I. F., Umoh, A. V., Oladokun, A., Gbadegesin, A., Odeyemi, K. A., et al. (2005). Sources of contraceptive commodities for users in Nigeria. PLOS Medicine, 2(11), e306.

    Article  Google Scholar 

  • Rue, H., & Held, L. (2005). Gaussian Markov random fields. Theory and applications. Boca Raton: Chapman & Hall/CRC.

    Book  Google Scholar 

  • Saad, A., Akinsulie, B., Ega, C., Akiode, A., & Awaisu, A. (2018). Misconceptions and current use of contraception among women of reproductive age in six major cities in Nigeria. European Journal of Contraception & Reproductive Health Care. https://doi.org/10.1080/13625187.2018.1533546.

    Article  Google Scholar 

  • Saleem, S., & Bobak, M. (2005). Women’s autonomy, education and contraception use in Pakistan: A national study. Reproductive Health. https://doi.org/10.1186/1742-4755-2-8.

    Article  Google Scholar 

  • Senderowicz, L. (2020). Contraceptive autonomy: Conceptions and measurement of a novel family planning indicator. Studies in Family Planning, 51(2), 161–176. https://doi.org/10.1111/sifp.12114.

    Article  Google Scholar 

  • Sinai, I., Anyanti, J., Khan, M., Daroda, R., & Oguntunde, O. (2017). Demand for women’s health services in Northern Nigeria: A review of the literature. African Journal of Reproductive Health, 21(2), 96–108.

    Article  Google Scholar 

  • Sinai, I., Omoluabi, E., Jimoh, A., & Jurczynska, K. (2019). Unmet need for family planning and barriers to contraceptive use in Kaduna, Nigeria: Culture, myths and perceptions. Culture, Health & Sexuality,. https://doi.org/10.1080/13691058.2019.1672894.

    Article  Google Scholar 

  • Spiegelhalter, D. J., Best, N. G., Carlin, B. P., & Van der Linde, A. (2002). Bayesian measures of model complexity and fit (with Discussion). Journal of Royal Statistical Society B, 64(4), 583–640. https://doi.org/10.1111/1467-9868.00353.

    Article  Google Scholar 

  • Stephenson, R., Baschieri, A., Clements, S., Hennink, M., & Madise, N. (2007). Contextual influences on modern contraceptive use in Sub-Saharan Africa. American Journal of Public Health, 97(7), 1233–1240.

    Article  Google Scholar 

  • Tsui, A. O., Brown, W., & Li, Q. (2017). Contraceptive practice in Sub-Saharan Africa. Population and Development Review, 43(Suppl 1), 166–191.

    Article  Google Scholar 

  • Tsui, A. O., McDonald-Mosley, R., & Burke, A. E. (2010). Family planning and the burden of unintended pregnancies. Epidemiologic Reviews, 32(1), 152–174.

    Article  Google Scholar 

  • United Nations. (2015). Transforming our world: The 2030 agenda for sustainable development. New York: United Nations.

    Google Scholar 

  • Wolff, B., Blanc, A. K., & Sskamatte-Ssebuliba, J. (2000). The role of couple negotiation in unmet need for contraception and the decision to stop childbearing in Uganda. Studies in Family Planning, 31(2), 124–137.

    Article  Google Scholar 

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Acknowledgements

The authors would like to acknowledge the National Population Commission Nigeria and ICF for making these data available on a public domain.

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Authors and Affiliations

  1. National Agency for Food and Drug Administration and Control, 8/10 Merret Road, Medical Compound, Off Edmond Crescent, Yaba, Lagos, Nigeria

    Samson B. Adebayo

  2. Department of Statistics, Federal University of Technology, Akure, Nigeria

    Ezra Gayawan

  3. Núcleo de Estudos de População, Universidade Estadual de Campinas, Campinas, Brazil

    Ezra Gayawan

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  1. Samson B. Adebayo
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Correspondence to Samson B. Adebayo.

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Adebayo, S.B., Gayawan, E. Exploring Spatial Variations, Trend and Effect of Exposure to Media as an Enhancer to Uptake of Modern Family Planning Methods: Evidence from 2003 to 2018 Nigeria Demographic Health Survey. Spat Demogr 10, 229–254 (2022). https://doi.org/10.1007/s40980-021-00080-z

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