Infant mortality and risk factors in Nigeria in 2013−2017: A population-level study

Background Globally, over the past two decades, many countries have significantly reduced the rate of infant mortality. Yet, in Africa, Nigeria remains one of the countries with the highest infant mortality rate (IMR). Methods We conducted a population-level study using the 2018 Nigeria Demographic...

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Main Authors: Shobiye, Damilola M., Omotola, Ayomide, Zhao, Yueming, Zhang, Jianrong, Ekawati, Fitriana M., Shobiye, Hezekiah O.
Format: Article PeerReviewed
Language:English
Published: Elsevier 2022
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Online Access:https://repository.ugm.ac.id/278849/1/Ekawati_KKMK.pdf
https://repository.ugm.ac.id/278849/
https://www.thelancet.com
https://doi.org/10.1016/j.eclinm.2022.101622
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spelling id-ugm-repo.2788492023-11-01T08:56:37Z https://repository.ugm.ac.id/278849/ Infant mortality and risk factors in Nigeria in 2013−2017: A population-level study Shobiye, Damilola M. Omotola, Ayomide Zhao, Yueming Zhang, Jianrong Ekawati, Fitriana M. Shobiye, Hezekiah O. Clinical Sciences Background Globally, over the past two decades, many countries have significantly reduced the rate of infant mortality. Yet, in Africa, Nigeria remains one of the countries with the highest infant mortality rate (IMR). Methods We conducted a population-level study using the 2018 Nigeria Demographic Health Survey (NDHS). A total of 41,668 household data were analyzed retrospectively. The association between each exposure and infant mortality was analyzed in logistic regression models (independently adjusted by demographic and socioeconomic status variables) and confirmed by the multiple comparisons analysis. Findings The overall IMR of 2013−2017 was 61.5 (95% CI 58.0, 65.3) per 1000 live births. In general, the North-West and North-East regions had the highest IMR, whereas the South-West, South-East and South-South regions had the lowest IMR. The regression analysis found women who delivered their babies at the age <=18 years old (odds ratio (OR): 1.37 [1.17, 1.62]), had religion of Islam (OR: 1.35 [1.10, 1.65]), no ANC visit (OR: 1.69 [1.21, 2.35]), >4 ANC visits (OR: 1.70 [1.23, 2.34]), ANC not at home or skilled provider (0.40 [0.35, 0.46]) and the babies as the first child (OR: 1.23 [1.07, 1.42]) to be associated with higher IMR. Interpretation Our findings imply that Nigeria is not on track to achieving the SDG target of reducing child mortal- ity by 2030. Sustainable interventions are urgently needed to address the challenges for women of reproductive age, particularly those that are living in the rural areas and Northern regions, having limited/no access to health care/ skilled providers, and delivered their first child. Elsevier 2022-08-25 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/278849/1/Ekawati_KKMK.pdf Shobiye, Damilola M. and Omotola, Ayomide and Zhao, Yueming and Zhang, Jianrong and Ekawati, Fitriana M. and Shobiye, Hezekiah O. (2022) Infant mortality and risk factors in Nigeria in 2013−2017: A population-level study. eClinicalMedicine, 2022 (51). pp. 1-12. ISSN 2589-5370 https://www.thelancet.com https://doi.org/10.1016/j.eclinm.2022.101622
institution Universitas Gadjah Mada
building UGM Library
continent Asia
country Indonesia
Indonesia
content_provider UGM Library
collection Repository Civitas UGM
language English
topic Clinical Sciences
spellingShingle Clinical Sciences
Shobiye, Damilola M.
Omotola, Ayomide
Zhao, Yueming
Zhang, Jianrong
Ekawati, Fitriana M.
Shobiye, Hezekiah O.
Infant mortality and risk factors in Nigeria in 2013−2017: A population-level study
description Background Globally, over the past two decades, many countries have significantly reduced the rate of infant mortality. Yet, in Africa, Nigeria remains one of the countries with the highest infant mortality rate (IMR). Methods We conducted a population-level study using the 2018 Nigeria Demographic Health Survey (NDHS). A total of 41,668 household data were analyzed retrospectively. The association between each exposure and infant mortality was analyzed in logistic regression models (independently adjusted by demographic and socioeconomic status variables) and confirmed by the multiple comparisons analysis. Findings The overall IMR of 2013−2017 was 61.5 (95% CI 58.0, 65.3) per 1000 live births. In general, the North-West and North-East regions had the highest IMR, whereas the South-West, South-East and South-South regions had the lowest IMR. The regression analysis found women who delivered their babies at the age <=18 years old (odds ratio (OR): 1.37 [1.17, 1.62]), had religion of Islam (OR: 1.35 [1.10, 1.65]), no ANC visit (OR: 1.69 [1.21, 2.35]), >4 ANC visits (OR: 1.70 [1.23, 2.34]), ANC not at home or skilled provider (0.40 [0.35, 0.46]) and the babies as the first child (OR: 1.23 [1.07, 1.42]) to be associated with higher IMR. Interpretation Our findings imply that Nigeria is not on track to achieving the SDG target of reducing child mortal- ity by 2030. Sustainable interventions are urgently needed to address the challenges for women of reproductive age, particularly those that are living in the rural areas and Northern regions, having limited/no access to health care/ skilled providers, and delivered their first child.
format Article
PeerReviewed
author Shobiye, Damilola M.
Omotola, Ayomide
Zhao, Yueming
Zhang, Jianrong
Ekawati, Fitriana M.
Shobiye, Hezekiah O.
author_facet Shobiye, Damilola M.
Omotola, Ayomide
Zhao, Yueming
Zhang, Jianrong
Ekawati, Fitriana M.
Shobiye, Hezekiah O.
author_sort Shobiye, Damilola M.
title Infant mortality and risk factors in Nigeria in 2013−2017: A population-level study
title_short Infant mortality and risk factors in Nigeria in 2013−2017: A population-level study
title_full Infant mortality and risk factors in Nigeria in 2013−2017: A population-level study
title_fullStr Infant mortality and risk factors in Nigeria in 2013−2017: A population-level study
title_full_unstemmed Infant mortality and risk factors in Nigeria in 2013−2017: A population-level study
title_sort infant mortality and risk factors in nigeria in 2013−2017: a population-level study
publisher Elsevier
publishDate 2022
url https://repository.ugm.ac.id/278849/1/Ekawati_KKMK.pdf
https://repository.ugm.ac.id/278849/
https://www.thelancet.com
https://doi.org/10.1016/j.eclinm.2022.101622
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