Hemmatpour Siros, Moradi Ghobad, Zokaie Mehdi, Karimi Zhaleh, Moradi Yousef, Noori Elham
Department of Pediatrics, Faculty of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Social Determinants of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Med J Islam Repub Iran. 2024 Jun 19;38:70. doi: 10.47176/mjiri.38.70. eCollection 2024.
Neonatal mortality is a significant public health issue that can often be prevented. The present study was designed and conducted to determine the causes of neonatal mortality and the status of their mothers in Kurdistan Province in 2019.
In this matched case-control study, the case group comprised 171 deceased neonates, while the control group consisted of 171 healthy neonates, along with their mothers' status in Kurdistan Province in 2019. for each case in each city, one control from the same city within the same week of the case's birth was randomly selected. Data were collected using a checklist containing information on the neonates and their mothers. The analysis was performed using STATA 17 software, which involved descriptive tests and analytical tests. These included frequency calculation, chi-square test, conditional logistic regression, and a stepwise backward elimination method for multivariate analysis with ( = 0.1). A significance level of < 0.05 was considered.
The results, after matching the odds ratio with a CI 95% using the backward method, showed a significant association between prematurity (OR:15.99, 95%CI:4.38-58.31), complications during pregnancy (OR:8.64, 95% CI:2.80-26.66), weight gain during pregnancy (OR:3.04, 95% CI:1.06-8.70).
The findings of our study suggest a positive association between neonatal mortality and specific maternal and neonatal factors, namely neonatal prematurity, complications during pregnancy, and inappropriate weight gain during pregnancy. Therefore, there is a compelling need to implement effective measures to control these identified risk factors, with the goal of reducing neonatal mortality.
新生儿死亡率是一个重大的公共卫生问题，通常是可以预防的。本研究旨在确定2019年库尔德斯坦省新生儿死亡的原因及其母亲的状况。
在这项匹配病例对照研究中，病例组包括171名死亡新生儿，对照组由171名健康新生儿及其2019年在库尔德斯坦省的母亲状况组成。对于每个城市的每个病例，随机选择同一周内在同一城市出生的一名对照。使用包含新生儿及其母亲信息的清单收集数据。使用STATA 17软件进行分析，包括描述性测试和分析性测试。这些测试包括频率计算、卡方检验、条件逻辑回归以及用于多变量分析的逐步向后排除法（α = 0.1）。显著性水平设定为P < 0.05。
使用向后法将比值比与95%置信区间进行匹配后，结果显示早产（比值比：15.99，95%置信区间：4.38 - 58.31）、孕期并发症（比值比：8.64，95%置信区间：2.80 - 26.66）、孕期体重增加（比值比：3.04，95%置信区间：1.06 - 8.70）之间存在显著关联。
我们的研究结果表明新生儿死亡率与特定的孕产妇和新生儿因素之间存在正相关，即新生儿早产、孕期并发症以及孕期体重增加不当。因此，迫切需要采取有效措施来控制这些已确定的风险因素，以降低新生儿死亡率。
