{"title":"Investigating Spatial Patterns and Determinants of Optimal Antenatal Care Attendance Among Pregnant Women in Nigeria","authors":"Paul Olopha, Olabimpe Aladeniyi, Olubimpe Oladuti","doi":"10.1007/s40980-021-00083-w","DOIUrl":null,"url":null,"abstract":"<p>The World Health Organization in a bid to improve mother and child experience during pregnancy and delivery had recommended for optimal birth experience, at least four antenatal visits (ANC4+) in 2002 and recently an upward review to eight minimum antenatal visits (ANC8+) in 2016 to a health facility by pregnant women. This study therefore is to investigate the implications of these optimal recommendations with respect to spatial effects and determinants in Nigeria using data extracted from the 2018 Nigerian Demographic Health Survey. Bayesian models with appropriate priors were fitted for each of these distributions using structured additive regression modeling technique. The Integrated Nested Laplace Approximation method was used to estimate the parameters of the models. A north–south dichotomy in the spatial distribution of ANC utilization in Nigeria was prominent only at the ANC8+ utilization level. Furthermore, some interesting revelations showed that Igbo and Yoruba women in southern Nigeria shared association with attaining four antenatal visits during pregnancy, while only Igbo women had high potential for eight antenatal visits. Only Adamawa state was significantly highly associated with the two optimal ANC levels (ANC4+ and ANC8+) in the Northern region. The nonlinear effects of respondents’ current age at birth at the time of survey showed the older women have higher potential to attain higher utilization levels than the younger ones.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"71 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spatial Demography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40980-021-00083-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
引用次数: 3
Abstract
The World Health Organization in a bid to improve mother and child experience during pregnancy and delivery had recommended for optimal birth experience, at least four antenatal visits (ANC4+) in 2002 and recently an upward review to eight minimum antenatal visits (ANC8+) in 2016 to a health facility by pregnant women. This study therefore is to investigate the implications of these optimal recommendations with respect to spatial effects and determinants in Nigeria using data extracted from the 2018 Nigerian Demographic Health Survey. Bayesian models with appropriate priors were fitted for each of these distributions using structured additive regression modeling technique. The Integrated Nested Laplace Approximation method was used to estimate the parameters of the models. A north–south dichotomy in the spatial distribution of ANC utilization in Nigeria was prominent only at the ANC8+ utilization level. Furthermore, some interesting revelations showed that Igbo and Yoruba women in southern Nigeria shared association with attaining four antenatal visits during pregnancy, while only Igbo women had high potential for eight antenatal visits. Only Adamawa state was significantly highly associated with the two optimal ANC levels (ANC4+ and ANC8+) in the Northern region. The nonlinear effects of respondents’ current age at birth at the time of survey showed the older women have higher potential to attain higher utilization levels than the younger ones.
期刊介绍:
Spatial Demography focuses on understanding the spatial and spatiotemporal dimension of demographic processes. More specifically, the journal is interested in submissions that include the innovative use and adoption of spatial concepts, geospatial data, spatial technologies, and spatial analytic methods that further our understanding of demographic and policy-related related questions. The journal publishes both substantive and methodological papers from across the discipline of demography and its related fields (including economics, geography, sociology, anthropology, environmental science) and in applications ranging from local to global scale. In addition to research articles the journal will consider for publication review essays, book reviews, and reports/reviews on data, software, and instructional resources.