IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0254915.html
   My bibliography  Save this article

The gap in contraceptive knowledge and use between the military and non-military populations of Kinshasa, DRC, 2016–2019

Author

Listed:
  • Pierre Z Akilimali
  • Henri Engale Nzuka
  • Katherine H LaNasa
  • Angéle Mavinga Wumba
  • Patrick Kayembe
  • Janna Wisniewski
  • Jane T Bertrand

Abstract

Introduction: The objective of this study is to assess change over time in the modern contraceptive prevalence rate (MCPR) and related variables among married women of reproductive age (15–49 years) in the military population in Kinshasa, Democratic Republic of Congo, compared to women in the non-military population, based on cross-sectional surveys in 2016 and 2019. Methods: Data among women living in military camps were collected as a special study of contraceptive knowledge, use, and exposure to FP messaging, for comparison to women in the non-military population from the annual PMA2020 survey. Both used a two-stage cluster sampling design to randomly select participants. This analysis is limited to women married or in union. Bivariate and multivariate analysis was used to compare the military and non-military populations. Results: The socio-demographic profile of women in the military camps differed between 2016 and 2019, which may reflect the more mobile nature of this population. In both populations, knowledge of modern contraceptive methods increased significantly. Similarly, use of a modern contraceptive method also increased significantly in both, though by 2019 women in the military camps were less likely to use modern contraception (24.9%) than their non-military counterparts (29.7%). Multivariate analysis showed no significant difference in the amount of increase in MCPR for the two populations. Among contraceptive users in both populations, the implant was the leading method. Potential effects of FP programming were evident in the military population: exposure to FP messaging increased (in comparison to a decrease among the non-military population). Moreover, women who had lived in the camps for 4+ years had a higher MCPR than those living in the camps for less than four years. Conclusions: This study demonstrates the feasibility and importance of collecting data in military camps for better understanding contraceptive dynamics among this specialized population.

Suggested Citation

  • Pierre Z Akilimali & Henri Engale Nzuka & Katherine H LaNasa & Angéle Mavinga Wumba & Patrick Kayembe & Janna Wisniewski & Jane T Bertrand, 2021. "The gap in contraceptive knowledge and use between the military and non-military populations of Kinshasa, DRC, 2016–2019," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-16, July.
  • Handle: RePEc:plo:pone00:0254915
    DOI: 10.1371/journal.pone.0254915
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0254915
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0254915&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0254915?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Michael White & Salut Muhidin & Catherine Andrzejewski & Eva Tagoe & Rodney Knight & Holly Reed, 2008. "Urbanization and fertility: An event-history analysis of Coastal Ghana," Demography, Springer;Population Association of America (PAA), vol. 45(4), pages 803-816, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rotimi Felix Afolabi & Martin Enock Palamuleni, 2022. "Influence of Maternal Education on Second Childbirth Interval Among Women in South Africa: Rural-Urban Differential Using Survival Analysis," SAGE Open, , vol. 12(1), pages 21582440221, March.
    2. Brian C. Thiede & Sara Ronnkvist & Anna Armao & Katrina Burka, 2022. "Climate anomalies and birth rates in sub-Saharan Africa," Climatic Change, Springer, vol. 171(1), pages 1-20, March.
    3. Jennifer Van Hook & Claire Altman, 2013. "Using Discrete-Time Event History Fertility Models to Simulate Total Fertility Rates and Other Fertility Measures," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(4), pages 585-610, August.
    4. Rachel Goldberg, 2013. "Family Instability and Early Initiation of Sexual Activity in Western Kenya," Demography, Springer;Population Association of America (PAA), vol. 50(2), pages 725-750, April.
    5. Shelley Clark & Cassandra Cotton, 2013. "Transitions to adulthood in urban Kenya," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(37), pages 1053-1092.
    6. Daphne H. Liu & Adrian E. Raftery, 2020. "How Do Education and Family Planning Accelerate Fertility Decline?," Population and Development Review, The Population Council, Inc., vol. 46(3), pages 409-441, September.
    7. Flückiger, Matthias & Ludwig, Markus, 2017. "Urbanization, fertility and child education in Sub-Saharan Africa," Economics Letters, Elsevier, vol. 157(C), pages 97-102.
    8. Batara Surya & Haeruddin Saleh & Seri Suriani & Harry Hardian Sakti & Hadijah Hadijah & Muhammad Idris, 2020. "Environmental Pollution Control and Sustainability Management of Slum Settlements in Makassar City, South Sulawesi, Indonesia," Land, MDPI, vol. 9(9), pages 1-34, August.
    9. Hiroshi Aiura & Yasuhiro Sato, 2014. "A model of urban demography," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(3), pages 981-1009, August.
    10. Dogan Hatun & David F. Warner, 2022. "Disentangling the Roles of Modernization and Secularization on Fertility: The Case of Turkey," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 1161-1189, June.
    11. Stéphane Helleringer & Gilles Pison & Almamy Kanté & Géraldine Duthé & Armelle Andro, 2014. "Reporting Errors in Siblings’ Survival Histories and Their Impact on Adult Mortality Estimates: Results From a Record Linkage Study in Senegal," Demography, Springer;Population Association of America (PAA), vol. 51(2), pages 387-411, April.
    12. Pierre Z. Akilimali & Nguyen-Toan Tran & Anastasia J. Gage, 2021. "Heterogeneity of Modern Contraceptive Use among Urban Slum and Nonslum Women in Kinshasa, DR Congo: Cross-Sectional Analysis," IJERPH, MDPI, vol. 18(17), pages 1-15, September.
    13. Victor Agadjanian & Scott Yabiku & Boaventura Cau, 2011. "Men’s Migration and Women’s Fertility in Rural Mozambique," Demography, Springer;Population Association of America (PAA), vol. 48(3), pages 1029-1048, August.
    14. William Angko & Joseph Kwame Wulifan, 2022. "Demographic Effects on Fertility Among Reproductive Aged Women in Ghana. A Demographic and Health Survey Analysis," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 11(4), pages 1-1, November.
    15. Susan Cassels & Samuel M. Jenness & Adriana A. E. Biney & William Kwabena Ampofo & F. Nii-Amoo Dodoo, 2014. "Migration, sexual networks, and HIV in Agbogbloshie, Ghana," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(28), pages 861-888.
    16. Nancy Luke & Shelley Clark & Eliya Zulu, 2011. "The Relationship History Calendar: Improving the Scope and Quality of Data on Youth Sexual Behavior," Demography, Springer;Population Association of America (PAA), vol. 48(3), pages 1151-1176, August.
    17. Hongwei Xu & Blessing U. Mberu & Rachel E. Goldberg & Nancy Luke, 2013. "Dimensions of Rural-to-Urban Migration and Premarital Pregnancy in Kenya," The ANNALS of the American Academy of Political and Social Science, , vol. 648(1), pages 104-119, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0254915. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.