早产的社会经济决定因素:对哈萨克斯坦样本进行的前瞻性多中心医院队列研究。

IF 2.8 2区 医学 Q1 OBSTETRICS & GYNECOLOGY
Gulmira Zhurabekova, Zhibek Oralkhan, Aru Balmagambetova, Akzhenis Berdalinova, Maygul Sarsenova, Bibigul Karimsakova, Nazym Altynbay, Azhar Malik, Kuanysh Tastambek
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引用次数: 0

摘要

背景:早产(PTB)是全球新生儿发病率和死亡率中最顽固的原因。社会决定因素是造成健康差异的预测因素之一,而有关早产儿病因的研究结果却相互矛盾。本研究旨在调查这些因素的影响,尤其是社会经济方面的影响,并提供哈萨克斯坦PTB指标的快照:这项多中心医院队列研究的对象是哈萨克斯坦的 3000 名单胎孕妇,目的是调查社会经济地位(SES)是否会影响哈萨克斯坦的先天性肺结核。研究涉及临床数据收集和结构化问卷调查,内容包括社会经济地位、健康行为和产科病史,最终对 2,235 名妇女进行了成功的分娩跟踪调查。采用二元和多元统计方法分析了早产的社会、人口和其他健康相关决定因素。在双变量分析中,通过卡方检验评估了各种因素与早产之间的关系。独立变量 p 结果:在双变量分析中,既往妊娠的宫颈息肉病史、母亲体重指数、住房稳定性、少女怀孕史、母亲的奇偶性和一般健康状况与宫颈息肉有关。在逻辑回归模型中,与先天性早产显著相关的变量包括既往早产史、少女怀孕史、较低的妊娠前体重指数、初产妇和较差的产妇一般健康状况。此外,在 PTB 异质性的不同亚型中,变量的重要性也各不相同。离婚、丧偶和分居的妇女(OR = 5.1;95% CI:1.9-13.7)、首次怀孕的妇女(OR = 3.8;95% CI:1.9-7.7)、患有妊娠糖尿病的妇女(OR = 5.2;95% CI:1.7-16.3)发生极早产和超早产的风险分别增加。体重指数较低的妇女(OR = 2.3;95% CI:1.3-3.9)和有少女怀孕史的妇女(OR = 0.4;95% CI:0.2-0.7)发生中晚期早产的风险增加:这些结果有助于更好地了解哈萨克斯坦的早产儿预测因素,并强调了采取综合孕产妇保健策略以改善妊娠结局的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Socioeconomic determinants of preterm birth: a prospective multicenter hospital-based cohort study among a sample of Kazakhstan.

Background: Preterm birth (PTB) is the most stubborn cause of neonatal morbidity and mortality globally. Social determinants are one of the predictors of health disparities and conflicting when regarding the etiology of PTB. The current study objected to investigate the impact of the factors especially from socioeconomic aspects and provided a snapshot of the indicators of PTB in Kazakhstan.

Material and methods: A multi-center hospital-based cohort study was conducted on 3,000 singleton pregnant women in Kazakhstan to investigate whether socioeconomic status (SES) influences PTB in Kazakhstan. The study involved clinical data collection and structured questionnaires covering socioeconomic status, health behaviors, and obstetric history, with a final sample of 2,235 women successfully followed through to delivery. The social, demographic, and other health-related determinants for preterm birth were analyzed using bivariate and multivariate statistical methods. The associations between factors and PTB were evaluated by chi-squared tests in bivariate analysis. Independent variables with p < 0.1 in the bivariate analysis were included in a logistic regression model.

Result: History of PTB in previous pregnancies, maternal body mass index, housing stability, history of teen pregnancy, parity and general health status of mother were associated with PTB in bivariate analysis. In the logistic regression model, variabls significantly associated with PTB included a history of previous preterm birth, history of teen pregnancy, lower pre-gestational body mass index, primiparity and poorer maternal general health status. Additionally, the significance of the variables varied among the different subtypes of PTB heterogeneity. Women who were divorced, widowed and separated (OR = 5.1; 95% CI: 1.9-13.7) and those who pregnant for first time (OR = 3.8; 95% CI: 1.9-7.7), those with gestational diabetes (OR = 5.2; 95% CI: 1.7-16.3) had increased risk of extremely and very preterm birth, respectively. Women with a low body mass index (OR = 2.3; 95% CI: 1.3-3.9) and those with a history of teen pregnancy (OR = 0.4; 95% CI: 0.2-0.7) had increased risk of moderate to late preterm.

Conclusion: These results contribute to a better understanding of PTB predictors in Kazakhstan and highlight the need for comprehensive maternal care strategies to improve pregnancy outcomes.

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来源期刊
BMC Pregnancy and Childbirth
BMC Pregnancy and Childbirth OBSTETRICS & GYNECOLOGY-
CiteScore
4.90
自引率
6.50%
发文量
845
审稿时长
3-8 weeks
期刊介绍: BMC Pregnancy & Childbirth is an open access, peer-reviewed journal that considers articles on all aspects of pregnancy and childbirth. The journal welcomes submissions on the biomedical aspects of pregnancy, breastfeeding, labor, maternal health, maternity care, trends and sociological aspects of pregnancy and childbirth.
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