Predictors of preterm births in North Dakota: a retrospective study of the North Dakota Pregnancy Risk Assessment Monitoring System (PRAMS).

IF 2.4 3区 生物学 Q2 MULTIDISCIPLINARY SCIENCES PeerJ Pub Date : 2025-03-17 eCollection Date: 2025-01-01 DOI:10.7717/peerj.19049
Grace Njau, Ramona Danielson, Corey Day, Agricola Odoi
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Abstract

Background: Preterm births represent approximately 10% of all births in the United States (US) annually. Although North Dakota (ND) has large rural and American Indian populations that experience disparities in health outcomes relative to the general population, few studies have investigated risk factors of preterm births in this state. Therefore, the objective of this study was to investigate predictors of preterm births in ND among women who had a live singleton birth and no prior history of preterm births.

Methods: Data on live births from 2017 to 2021 were obtained from the ND Pregnancy Risk Assessment Monitoring System. Potential predictors of preterm birth were identified using a conceptual model. Multivariable logistic regression was then used to investigate and identify significant predictors of preterm births.

Results: The overall prevalence of preterm birth in North Dakota from 2017 to 2021 was 8.1%. However, among the population of interest in this study, which excluded births with multiple infants as well as women with a prior history of preterm birth, the preterm birth rate was 6.4%. Race, age, pregestational diabetes, and gestational hypertension were significantly associated with preterm birth in the final multivariable logistic model. The odds of preterm birth were higher among women who were American Indian (adjusted odds ratio (AOR) = 1.7, 95% confidence interval (CI) [1.3-2.4]), were aged 35 years or older (AOR = 1.6, 95% CI [1.01-2.5]), had pregestational diabetes (AOR = 4.3, 95% CI [2.0-9.3]), and had gestational hypertension (AOR = 4.5, 95% CI [3.1-6.7]) compared to women who were White, aged 20-34 years, and did not have pregestational diabetes or gestational hypertension.

Conclusions: Preventing and controlling chronic diabetes and hypertensive disorders of pregnancy is critical for reducing the risk of preterm birth, especially among women of advanced maternal age. Further research is needed to understand the underlying causes of racial disparities of preterm birth in ND.

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北达科他州早产的预测因素:北达科他州妊娠风险评估监测系统(PRAMS)的回顾性研究。
背景:早产约占美国每年出生总数的10%。尽管北达科他州(ND)有大量的农村和美洲印第安人口,他们的健康状况与一般人口相比存在差异,但很少有研究调查了该州早产的危险因素。因此,本研究的目的是研究在单胎活产且没有早产史的ND妇女中早产的预测因素。方法:从ND妊娠风险评估监测系统获取2017 - 2021年的活产数据。使用概念模型确定早产的潜在预测因素。然后使用多变量逻辑回归来调查和确定早产的重要预测因素。结果:2017 - 2021年北达科他州早产总体患病率为8.1%。然而,在本研究的人群中,排除了多胞胎出生以及有早产史的妇女,早产率为6.4%。在最后的多变量logistic模型中,种族、年龄、妊娠期糖尿病和妊娠期高血压与早产显著相关。美国印第安人(调整优势比(AOR) = 1.7, 95%可信区间(CI)[1.3-2.4])、35岁及以上(AOR = 1.6, 95% CI[1.01-2.5])、有妊娠期糖尿病(AOR = 4.3, 95% CI[2.0-9.3])和妊娠期高血压(AOR = 4.5, 95% CI[3.1-6.7])的妇女与20-34岁、无妊娠期糖尿病或妊娠期高血压的白人妇女相比,早产的几率更高。结论:预防和控制妊娠期慢性糖尿病和高血压疾病对降低早产风险至关重要,尤其是高龄产妇。需要进一步的研究来了解ND中早产的种族差异的潜在原因。
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来源期刊
PeerJ
PeerJ MULTIDISCIPLINARY SCIENCES-
CiteScore
4.70
自引率
3.70%
发文量
1665
审稿时长
10 weeks
期刊介绍: PeerJ is an open access peer-reviewed scientific journal covering research in the biological and medical sciences. At PeerJ, authors take out a lifetime publication plan (for as little as $99) which allows them to publish articles in the journal for free, forever. PeerJ has 5 Nobel Prize Winners on the Board; they have won several industry and media awards; and they are widely recognized as being one of the most interesting recent developments in academic publishing.
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