{"title":"尼日利亚埃多南参议院选区孕产妇死亡率的决定因素","authors":"Rebecca Oghale John-Abebe, A. B. Osirike","doi":"10.4314/gjg.v16i2.2","DOIUrl":null,"url":null,"abstract":"Nigeria, like most sub-Saharan African countries, has a high number of maternal deaths during pregnancy, delivery, and post-partum. Each time a woman gets pregnant in Nigeria, she is faced with the probability of dying due to maternal issues. This paper seeks to determine the factors influencing the incidence of maternal mortality associated with four levels (individual, household, medical, and community) among pregnant women in the Southern Senatorial District of Edo State, Nigeria. The respondents comprised of adult women of reproductive age (15–49 years). STATA version 13 was used to conduct multinomial logistic regression for data analysis. The data analysis was carried out using 1546 households in 29 communities in the district. The regression model depicts that maternal mortality outcome is higher in the rural region of the study area. Education, parity, mode of delivery, and history of pregnancy complications are factors influencing maternal mortality in the study area. Rural areas record higher maternal mortality than urban areas. This study recommends that spatially identified factors in the district affecting the best maternal outcome should be addressed, especially in grassroots government intervention programs and policies for overall improvement in living and health standards of the people in the district.","PeriodicalId":479481,"journal":{"name":"Ghana Journal of Geography","volume":" 22","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determinants of Maternal Mortality in Edo South Senatorial District, Nigeria\",\"authors\":\"Rebecca Oghale John-Abebe, A. B. Osirike\",\"doi\":\"10.4314/gjg.v16i2.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nigeria, like most sub-Saharan African countries, has a high number of maternal deaths during pregnancy, delivery, and post-partum. Each time a woman gets pregnant in Nigeria, she is faced with the probability of dying due to maternal issues. This paper seeks to determine the factors influencing the incidence of maternal mortality associated with four levels (individual, household, medical, and community) among pregnant women in the Southern Senatorial District of Edo State, Nigeria. The respondents comprised of adult women of reproductive age (15–49 years). STATA version 13 was used to conduct multinomial logistic regression for data analysis. The data analysis was carried out using 1546 households in 29 communities in the district. The regression model depicts that maternal mortality outcome is higher in the rural region of the study area. Education, parity, mode of delivery, and history of pregnancy complications are factors influencing maternal mortality in the study area. Rural areas record higher maternal mortality than urban areas. This study recommends that spatially identified factors in the district affecting the best maternal outcome should be addressed, especially in grassroots government intervention programs and policies for overall improvement in living and health standards of the people in the district.\",\"PeriodicalId\":479481,\"journal\":{\"name\":\"Ghana Journal of Geography\",\"volume\":\" 22\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ghana Journal of Geography\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.4314/gjg.v16i2.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ghana Journal of Geography","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.4314/gjg.v16i2.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
与大多数撒哈拉以南非洲国家一样,尼日利亚的孕产妇在怀孕、分娩和产后死亡的人数很高。尼日利亚妇女每次怀孕都有可能因孕产问题而死亡。本文试图从四个层面(个人、家庭、医疗和社区)确定影响尼日利亚埃多州南部参议院区孕妇孕产妇死亡率的因素。受访者包括成年育龄妇女(15-49 岁)。数据分析使用 STATA 第 13 版进行多项式逻辑回归。数据分析使用了该地区 29 个社区的 1546 个家庭。回归模型显示,研究地区的农村地区孕产妇死亡率较高。受教育程度、胎次、分娩方式和妊娠并发症史是影响研究地区孕产妇死亡率的因素。农村地区的孕产妇死亡率高于城市地区。本研究建议,应解决该地区影响最佳孕产妇结果的空间因素,特别是在基层政府干预计划和政策中,以全面提高该地区人民的生活和健康水平。
Determinants of Maternal Mortality in Edo South Senatorial District, Nigeria
Nigeria, like most sub-Saharan African countries, has a high number of maternal deaths during pregnancy, delivery, and post-partum. Each time a woman gets pregnant in Nigeria, she is faced with the probability of dying due to maternal issues. This paper seeks to determine the factors influencing the incidence of maternal mortality associated with four levels (individual, household, medical, and community) among pregnant women in the Southern Senatorial District of Edo State, Nigeria. The respondents comprised of adult women of reproductive age (15–49 years). STATA version 13 was used to conduct multinomial logistic regression for data analysis. The data analysis was carried out using 1546 households in 29 communities in the district. The regression model depicts that maternal mortality outcome is higher in the rural region of the study area. Education, parity, mode of delivery, and history of pregnancy complications are factors influencing maternal mortality in the study area. Rural areas record higher maternal mortality than urban areas. This study recommends that spatially identified factors in the district affecting the best maternal outcome should be addressed, especially in grassroots government intervention programs and policies for overall improvement in living and health standards of the people in the district.