IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i21p11234-d665034.html
   My bibliography  Save this article

Individual and Contextual Factors Associated with Malaria among Children 6–59 Months in Nigeria: A Multilevel Mixed Effect Logistic Model Approach

Author

Listed:
  • Phillips Edomwonyi Obasohan

    (School of Health and Related Research (ScHARR), University of Sheffield, Sheffield S1 4DA, UK
    Department of Liberal Studies, College of Administrative and Business Studies, Niger State Polytechnic, Bida Campus, Bida 912231, Nigeria)

  • Stephen J. Walters

    (School of Health and Related Research (ScHARR), University of Sheffield, Sheffield S1 4DA, UK)

  • Richard Jacques

    (School of Health and Related Research (ScHARR), University of Sheffield, Sheffield S1 4DA, UK)

  • Khaled Khatab

    (Faculty of Health and Wellbeing, Sheffield Hallam University, Sheffield S10 2BP, UK)

Abstract

Background/Purpose: Over the last two decades, malaria has remained a major public health concern worldwide, especially in developing countries leading to high morbidity and mortality among children. Nigeria is the world most burdened malaria endemic nation, contributing more than a quarter of global malaria cases. This study determined the prevalence of malaria among children at 6–59 months in Nigeria, and the effects of individual and contextual factors. Methods: This study utilized data from 2018 Nigeria Demographic and Health Survey (NDHS) involving a weighted sample size of 10,185 children who were tested for malaria using rapid diagnostic test (RDT). Given the hierarchical structure of the data set, such that children at Level-1 were nested in communities at Level-2, and nested in states and Federal Capital Territory (FCT) at Level-3, multilevel mixed effect logistic regression models were used for the analysis. Results: The proportion of children 6–59 months of age in Nigeria that had malaria fever positive as assessed by RDTs was 35.5% (3418/10,185), (CI: 33.9–37.1). Kebbi State had 77.7%, (CI: 70.2–83.5), which was the highest proportion of 6–59 months who were malaria positive, next in line was Katsina State with 55.5%, (CI: 47.7–63.1). The Federal Capital Territory (FCT), Abuja had the proportion of 29.6%, (CI: 21.6–39.0), malaria positive children of 6–59 months of age. Children between the age of 48 and 59 months were 2.68 times more likely to have malaria fever than children of ages 6–11 months (AOR = 2.68, 95% CI: 2.03–3.54). In addition, children from the rural area (AOR = 2.12, 95% CI: 1.75–2.57), were more likely to suffer from malaria infection compared to children from urban area. Conclusion: The study identified some individual and contextual predictors of malaria among children in Nigeria. These factors identified in this study are potential areas that need to be considered for policy designs and implementations toward control and total elimination of malaria-related morbidity and mortality among children in Nigeria.

Suggested Citation

  • Phillips Edomwonyi Obasohan & Stephen J. Walters & Richard Jacques & Khaled Khatab, 2021. "Individual and Contextual Factors Associated with Malaria among Children 6–59 Months in Nigeria: A Multilevel Mixed Effect Logistic Model Approach," IJERPH, MDPI, vol. 18(21), pages 1-25, October.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11234-:d:665034
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/21/11234/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/21/11234/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Phillips Edomwonyi Obasohan & Stephen J. Walters & Richard Jacques & Khaled Khatab, 2020. "A Scoping Review of the Risk Factors Associated with Anaemia among Children Under Five Years in Sub-Saharan African Countries," IJERPH, MDPI, vol. 17(23), pages 1-20, November.
    2. Greg J. Duncan & Kenneth T. H. Lee & Maria Rosales-Rueda & Ariel Kalil, 2018. "Maternal Age and Child Development," Demography, Springer;Population Association of America (PAA), vol. 55(6), pages 2229-2255, December.
    3. Nandy, Shailen & Daoud, Adel & Gordon, David, 2016. "Examining the changing profile of undernutrition in the context of food price rises and greater inequality," Social Science & Medicine, Elsevier, vol. 149(C), pages 153-163.
    4. Mikko Myrskylä & Andrew Fenelon, 2012. "Maternal Age and Offspring Adult Health: Evidence From the Health and Retirement Study," Demography, Springer;Population Association of America (PAA), vol. 49(4), pages 1231-1257, November.
    5. Phillips Edomwonyi Obasohan & Stephen J. Walters & Richard Jacques & Khaled Khatab, 2020. "Risk Factors Associated with Malnutrition among Children Under-Five Years in Sub-Saharan African Countries: A Scoping Review," IJERPH, MDPI, vol. 17(23), pages 1-23, November.
    6. Phillips Edomwonyi Obasohan & Stephen J. Walters & Richard Jacques & Khaled Khatab, 2021. "A Scoping Review of Selected Studies on Predictor Variables Associated with the Malaria Status among Children under Five Years in Sub-Saharan Africa," IJERPH, MDPI, vol. 18(4), pages 1-21, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Phillips Edomwonyi Obasohan & Stephen J. Walters & Richard M. Jacques & Khaled Khatab, 2024. "The Risk Factors Associated with the Prevalence of Multimorbidity of Anaemia, Malaria, and Malnutrition among Children Aged 6–59 Months in Nigeria," IJERPH, MDPI, vol. 21(6), pages 1-22, June.

    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. Insu Chang & Heeran Park & Hosung Sohn, 2021. "Causal Impact of School Starting Age on the Tempo of Childbirths: Evidence from Working Mothers and School Entry Cutoff Using Exact Date of Birth," European Journal of Population, Springer;European Association for Population Studies, vol. 37(4), pages 997-1022, November.
    2. Phillips Edomwonyi Obasohan & Stephen J. Walters & Richard M. Jacques & Khaled Khatab, 2024. "The Risk Factors Associated with the Prevalence of Multimorbidity of Anaemia, Malaria, and Malnutrition among Children Aged 6–59 Months in Nigeria," IJERPH, MDPI, vol. 21(6), pages 1-22, June.
    3. Fredriksson, Peter & Huttunen, Kristiina & Öckert, Björn, 2022. "School starting age, maternal age at birth, and child outcomes," Journal of Health Economics, Elsevier, vol. 84(C).
    4. Nozaki, Yuko & Matsuura, Katsumi, 2020. "The impact of household resources on child behavioral problems," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 282-292.
    5. Son, Hyewon & Ahn, Eunhye & Kim, Jinho, 2024. "Children's bullying victimization and maternal suicidal ideation among multicultural families in South Korea: Heterogeneity by family socioeconomic status," Social Science & Medicine, Elsevier, vol. 341(C).
    6. Daoud, Adel & Johansson, Fredrik, 2019. "Estimating Treatment Heterogeneity of International Monetary Fund Programs on Child Poverty with Generalized Random Forest," SocArXiv awfjt, Center for Open Science.
    7. Nilda Gaspar-Damaso & Marysela Ladera-Castañeda & Nancy Córdova-Limaylla & Gissela Briceño-Vergel & Luis Cervantes-Ganoza & Miriam Nicho-Valladares & Alberto Cornejo-Pinto & Alí Echavarría-Gálvez & Cé, 2023. "Sociodemographic Factors Associated with the Level of Knowledge of Early Postpartum Women about Oral Health Prevention in Infants Aged 0 to 2 Years Old: A Cross-Sectional Study under a Multivariable A," IJERPH, MDPI, vol. 20(3), pages 1-14, January.
    8. Josefine Koebe & Jan Marcus, 2022. "The Length of Schooling and the Timing of Family Formation [Income Taxes and the Timing of Marital Decisions]," CESifo Economic Studies, CESifo Group, vol. 68(1), pages 1-45.
    9. Aniqa Islam Marshall & Gideon Lasco & Mathudara Phaiyarom & Nattanicha Pangkariya & Phetdavanh Leuangvilay & Pigunkaew Sinam & Rapeepong Suphanchaimat & Sataporn Julchoo & Watinee Kunpeuk & Yunting Zh, 2021. "Evidence on Child Nutrition Recommendations and Challenges in Crisis Settings: A Scoping Review," IJERPH, MDPI, vol. 18(12), pages 1-19, June.
    10. Phillips Edomwonyi Obasohan & Stephen J. Walters & Richard Jacques & Khaled Khatab, 2020. "Risk Factors Associated with Malnutrition among Children Under-Five Years in Sub-Saharan African Countries: A Scoping Review," IJERPH, MDPI, vol. 17(23), pages 1-23, November.
    11. Kazuya Masuda & Chikako Yamauchi, 2017. "The Effects of Female Education on Adolescent Pregnancy and Child Health: Evidence from Uganda fs Universal Primary Education for Fully Treated Cohorts," GRIPS Discussion Papers 17-01, National Graduate Institute for Policy Studies.
    12. Adel Daoud, 2020. "The wealth of nations and the health of populations: A quasi-experimental design of the impact of sovereign debt crises on child mortality," Papers 2012.14941, arXiv.org.
    13. Myrskylä, Mikko & Elo, Irma T. & Kohler, Iliana V. & Martikainen, Pekka, 2014. "The association between advanced maternal and paternal ages and increased adult mortality is explained by early parental loss," Social Science & Medicine, Elsevier, vol. 119(C), pages 215-223.
    14. Sylvain Dessy & Setou Diarra & Roland Pongou, 2017. "Underage Brides and Grooms’ Education," Working Papers 1704E, University of Ottawa, Department of Economics.
    15. Elizabeth Wall-Wieler & Janelle Boram Lee & Nathan Nickel & Leslie Leon Roos, 2019. "The multigenerational effects of adolescent motherhood on school readiness: A population-based retrospective cohort study," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-16, February.
    16. Greg J. Duncan & Kenneth T. H. Lee & Maria Rosales-Rueda & Ariel Kalil, 2018. "Maternal Age and Child Development," Demography, Springer;Population Association of America (PAA), vol. 55(6), pages 2229-2255, December.
    17. Kieron Barclay & Martin Kolk, 2015. "Birth Order and Mortality: A Population-Based Cohort Study," Demography, Springer;Population Association of America (PAA), vol. 52(2), pages 613-639, April.
    18. Sana Khushi & Sajid Rashid Ahmad & Ather Ashraf & Muhammad Imran, 2020. "Spatially analyzing food consumption inequalities using GIS with disaggregated data from Punjab, Pakistan," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(6), pages 1283-1298, December.
    19. Josefine Koebe & Jan Marcus, 2020. "The Impact of the Length of Schooling on the Timing of Family Formation," Discussion Papers of DIW Berlin 1896, DIW Berlin, German Institute for Economic Research.
    20. Daoud, Adel & Reinsberg, Bernhard & Kentikelenis, Alexander E. & Stubbs, Thomas H. & King, Lawrence P., 2019. "The International Monetary Fund’s interventions in food and agriculture: An analysis of loans and conditions," Food Policy, Elsevier, vol. 83(C), pages 204-218.

    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:gam:jijerp:v:18:y:2021:i:21:p:11234-:d:665034. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.