,
Ebenezer Obi Daniel,
Taiwo Aderemi Popoola,
Israel Olukayode Popoola,
Adebanke Adetutu Ogun,
Ahmed Mamuda Bello,
Michael Olabode Tomori,
Aisha Oluwakemi Salami,
Celestine Emeka Ekwuluo,
Olukayode Oladeji Alewi,
Aremu Bukola Janet
Low birth weight (LBW), defined by the World Health Organization as a birth weight of less than 2.5 kilograms, is a major public health concern with significant implications for neonatal morbidity, mortality, and long-term health outcomes. LBW prevalence is particularly high in developing countries, contributing to substantial healthcare challenges and socio-economic burdens. This study examines the determinants of LBW in Nigeria, focusing on socio-demographic, economic, and health-related factors. This cross-sectional study utilizes data from the 2018 Nigeria Demographic and Health Survey (NDHS). A stratified two-stage cluster sampling method was employed, and data were collected through structured interviews. The analysis included socio-demographic characteristics, economic status, health factors, and birth weights, which were classified into LBW and normal birth weight categories. Ethical approval was obtained, and informed consent ensured participant confidentiality. The analysis revealed significant associations between LBW and several factors. Higher maternal education levels were linked to lower odds of LBW. Religious affiliation also impacted LBW, with Muslim mothers having a lower likelihood of LBW compared to Christian mothers. Ethnicity influenced LBW outcomes, with Igbo mothers showing higher odds of LBW compared to Yoruba mothers. Economic stability and urban residency were associated with reduced LBW risk. Health factors such as maternal BMI and frequent antenatal visits were protective against LBW. Geographic disparities indicated higher risks in northern Nigeria. The study underscores the multifactorial nature of LBW, highlighting the importance of maternal education, socio-economic support, and healthcare access. Tailored interventions addressing ethnic and religious contexts, along with region-specific strategies, are essential. The Bayesian STAR model's superior performance suggests that spatial and non-parametric considerations provide deeper insights into LBW risk factors. Comprehensive, multifaceted strategies and policies are needed to address the determinants of LBW, focusing on vulnerable populations and regional disparities.
| Published in | Journal of Family Medicine and Health Care (Volume 10, Issue 3) |
| DOI | 10.11648/j.jfmhc.20241003.11 |
| Page(s) | 40-50 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Low Birth Weight (LBW), Socio-Demographic Factors, Economic Status, Maternal Education, Bayesian STAR Model
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APA Style
Avwerhota, O. O., Avwerhota, M., Daniel, E. O., Popoola, T. A., Popoola, I. O., et al. (2024). Bayesian Spatial Analysis of Risk Factors Affecting Low Birth Weight in Nigeria. Journal of Family Medicine and Health Care, 10(3), 40-50. https://doi.org/10.11648/j.jfmhc.20241003.11
ACS Style
Avwerhota, O. O.; Avwerhota, M.; Daniel, E. O.; Popoola, T. A.; Popoola, I. O., et al. Bayesian Spatial Analysis of Risk Factors Affecting Low Birth Weight in Nigeria. J. Fam. Med. Health Care 2024, 10(3), 40-50. doi: 10.11648/j.jfmhc.20241003.11
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Download@article{10.11648/j.jfmhc.20241003.11,
author = {Oladayo Olarinre Avwerhota and Michael Avwerhota and Ebenezer Obi Daniel and Taiwo Aderemi Popoola and Israel Olukayode Popoola and Adebanke Adetutu Ogun and Ahmed Mamuda Bello and Michael Olabode Tomori and Aisha Oluwakemi Salami and Celestine Emeka Ekwuluo and Olukayode Oladeji Alewi and Aremu Bukola Janet},
title = {Bayesian Spatial Analysis of Risk Factors Affecting Low Birth Weight in Nigeria
},
journal = {Journal of Family Medicine and Health Care},
volume = {10},
number = {3},
pages = {40-50},
doi = {10.11648/j.jfmhc.20241003.11},
url = {https://doi.org/10.11648/j.jfmhc.20241003.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jfmhc.20241003.11},
abstract = {Low birth weight (LBW), defined by the World Health Organization as a birth weight of less than 2.5 kilograms, is a major public health concern with significant implications for neonatal morbidity, mortality, and long-term health outcomes. LBW prevalence is particularly high in developing countries, contributing to substantial healthcare challenges and socio-economic burdens. This study examines the determinants of LBW in Nigeria, focusing on socio-demographic, economic, and health-related factors. This cross-sectional study utilizes data from the 2018 Nigeria Demographic and Health Survey (NDHS). A stratified two-stage cluster sampling method was employed, and data were collected through structured interviews. The analysis included socio-demographic characteristics, economic status, health factors, and birth weights, which were classified into LBW and normal birth weight categories. Ethical approval was obtained, and informed consent ensured participant confidentiality. The analysis revealed significant associations between LBW and several factors. Higher maternal education levels were linked to lower odds of LBW. Religious affiliation also impacted LBW, with Muslim mothers having a lower likelihood of LBW compared to Christian mothers. Ethnicity influenced LBW outcomes, with Igbo mothers showing higher odds of LBW compared to Yoruba mothers. Economic stability and urban residency were associated with reduced LBW risk. Health factors such as maternal BMI and frequent antenatal visits were protective against LBW. Geographic disparities indicated higher risks in northern Nigeria. The study underscores the multifactorial nature of LBW, highlighting the importance of maternal education, socio-economic support, and healthcare access. Tailored interventions addressing ethnic and religious contexts, along with region-specific strategies, are essential. The Bayesian STAR model's superior performance suggests that spatial and non-parametric considerations provide deeper insights into LBW risk factors. Comprehensive, multifaceted strategies and policies are needed to address the determinants of LBW, focusing on vulnerable populations and regional disparities.
},
year = {2024}
}
TY - JOUR T1 - Bayesian Spatial Analysis of Risk Factors Affecting Low Birth Weight in Nigeria AU - Oladayo Olarinre Avwerhota AU - Michael Avwerhota AU - Ebenezer Obi Daniel AU - Taiwo Aderemi Popoola AU - Israel Olukayode Popoola AU - Adebanke Adetutu Ogun AU - Ahmed Mamuda Bello AU - Michael Olabode Tomori AU - Aisha Oluwakemi Salami AU - Celestine Emeka Ekwuluo AU - Olukayode Oladeji Alewi AU - Aremu Bukola Janet Y1 - 2024/08/30 PY - 2024 N1 - https://doi.org/10.11648/j.jfmhc.20241003.11 DO - 10.11648/j.jfmhc.20241003.11 T2 - Journal of Family Medicine and Health Care JF - Journal of Family Medicine and Health Care JO - Journal of Family Medicine and Health Care SP - 40 EP - 50 PB - Science Publishing Group SN - 2469-8342 UR - https://doi.org/10.11648/j.jfmhc.20241003.11 AB - Low birth weight (LBW), defined by the World Health Organization as a birth weight of less than 2.5 kilograms, is a major public health concern with significant implications for neonatal morbidity, mortality, and long-term health outcomes. LBW prevalence is particularly high in developing countries, contributing to substantial healthcare challenges and socio-economic burdens. This study examines the determinants of LBW in Nigeria, focusing on socio-demographic, economic, and health-related factors. This cross-sectional study utilizes data from the 2018 Nigeria Demographic and Health Survey (NDHS). A stratified two-stage cluster sampling method was employed, and data were collected through structured interviews. The analysis included socio-demographic characteristics, economic status, health factors, and birth weights, which were classified into LBW and normal birth weight categories. Ethical approval was obtained, and informed consent ensured participant confidentiality. The analysis revealed significant associations between LBW and several factors. Higher maternal education levels were linked to lower odds of LBW. Religious affiliation also impacted LBW, with Muslim mothers having a lower likelihood of LBW compared to Christian mothers. Ethnicity influenced LBW outcomes, with Igbo mothers showing higher odds of LBW compared to Yoruba mothers. Economic stability and urban residency were associated with reduced LBW risk. Health factors such as maternal BMI and frequent antenatal visits were protective against LBW. Geographic disparities indicated higher risks in northern Nigeria. The study underscores the multifactorial nature of LBW, highlighting the importance of maternal education, socio-economic support, and healthcare access. Tailored interventions addressing ethnic and religious contexts, along with region-specific strategies, are essential. The Bayesian STAR model's superior performance suggests that spatial and non-parametric considerations provide deeper insights into LBW risk factors. Comprehensive, multifaceted strategies and policies are needed to address the determinants of LBW, focusing on vulnerable populations and regional disparities. VL - 10 IS - 3 ER -
Department of Public Health, Atlantic International University, Hawaii, United States of America
Department of Public Health, Swansea University, Swansea, United Kingdom; Department of Public Health, Texila American University, Georgetown, Guyana
Department of Research, Smartnovation Limited, Birmingham United Kingdom
Department of Epidemiology and Community Health, University of Ilorin, Ilorin, Nigeria
Department of Policy, Governance, Liaison, and Support, International Organization for Migration, Abuja, Nigeria
Department of Public Health, Texila American University, Georgetown, Guyana
Department of Public Health, Texila American University, Georgetown, Guyana
Department of Public Health, Texila American University, Georgetown, Guyana
Department of Health and Nutrition Sector, International Medical Corps, Kyiv, Ukraine
Department of Public Health, Texila American University, Georgetown, Guyana
Department of Public Health, Texila American University, Georgetown, Guyana
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