Ruiz R Jeanne, Dwivedi Alok Kumar, Mallawaarachichi Indika, Balcazar Hector G, Stowe Raymond P, Ayers Kimberly S, Pickler Rita
Texas A&M University Health Science Center College of Nursing, 8447 State Highway 47, Bryan, TX, 77807-3260, USA.
Texas Tech University Health Sciences Center at El Paso Paul L. Foster School of Medicine, Department of Biomedical Sciences, Division of Biostatistics and Epidemiology, A3302 Biostatistical and Epidemiological Consulting Lab, 4801 Alberta Avenue, El Paso, TX, 79905, USA.
BMC Pregnancy Childbirth. 2015 Sep 3;15:204. doi: 10.1186/s12884-015-0640-y.
Preterm birth remains a major obstetrical problem and identification of risk factors for preterm birth continues to be a priority in providing adequate care. Therefore, the purpose of this study was to elucidate risk profiles for preterm birth using psychological, cultural and neuroendocrine measures.
From a cross sectional study of 515 Mexican American pregnant women at 22-24 weeks gestation, a latent profile analysis of risk for preterm birth using structural equation modeling (SEM) was conducted. We determined accurate gestational age at delivery from the prenatal record and early ultrasounds. We also obtained demographic and prenatal data off of the chart, particularly for infections, obstetrical history, and medications. We measured depression (Beck Depression Inventory), mastery (Mastery scale), coping (The Brief Cope), and acculturation (Multidimensional Acculturation Scale) with reliable and valid instruments. We obtained maternal whole blood and separated it into plasma for radioimmunoassay of Corticotrophin Releasing Hormone (CRH). Delivery data was obtained from hospital medical records.
Using a latent profile analysis, three psychological risk profiles were identified. The "low risk" profile had a 7.7% preterm birth rate. The "moderate risk" profile had a 12% preterm birth rate. The "highest risk" profile had a 15.85% preterm birth rate. The highest risk profile had double the percentage of total infections compared to the low risk profile. High CRH levels were present in the moderate and highest risk profiles.
These risk profiles may provide a basis for screening for Mexican American women to predict risk of preterm birth, particularly after they are further validated in a prospective cohort study. Future research might include use of such an identified risk profile with targeted interventions tailored to the Hispanic culture.
早产仍然是一个主要的产科问题,识别早产的风险因素仍是提供充分护理的首要任务。因此,本研究的目的是通过心理、文化和神经内分泌指标来阐明早产的风险特征。
在一项对515名妊娠22 - 24周的墨西哥裔美国孕妇的横断面研究中,采用结构方程模型(SEM)对早产风险进行潜在类别分析。我们从产前记录和早期超声检查中确定分娩时的准确孕周。我们还从病历中获取人口统计学和产前数据,特别是感染、产科病史和用药情况。我们使用可靠且有效的工具测量抑郁(贝克抑郁量表)、掌控感(掌控感量表)、应对方式(简易应对方式问卷)和文化适应(多维文化适应量表)。我们采集孕妇全血并分离出血浆,用于促肾上腺皮质激素释放激素(CRH)的放射免疫测定。分娩数据来自医院病历。
通过潜在类别分析,识别出三种心理风险特征。“低风险”特征组的早产率为7.7%。“中度风险”特征组的早产率为12%。“最高风险”特征组的早产率为15.85%。与低风险特征组相比,最高风险特征组的总感染率高出一倍。中度和最高风险特征组中存在较高的CRH水平。
这些风险特征可为墨西哥裔美国女性的早产风险筛查提供依据,尤其是在它们在前瞻性队列研究中得到进一步验证之后。未来的研究可能包括使用这种已确定的风险特征,并针对西班牙裔文化制定有针对性的干预措施。