美国妇女孕前健康指标的差异:2019 年行为风险因素监测系统横截面分析。

IF 1.7 4区 医学 Q3 OBSTETRICS & GYNECOLOGY
Journal of Perinatal Medicine Pub Date : 2023-12-27 Print Date: 2024-02-26 DOI:10.1515/jpm-2023-0249
Rachel Terry, Ashton Gatewood, Covenant Elenwo, Abigail Long, Wendi Wu, Caroline Markey, Shawn Strain, Micah Hartwell
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引用次数: 0

摘要

目标:优化孕前保健可改善分娩结果和妇女健康。然而,关于影响孕前健康的不平等现象的研究却很少。本研究确定了孕前保健中的年龄、种族/民族、教育、城市化和收入不平等现象:我们对疾病控制和预防中心(CDC)的 2019 年行为风险因素监测系统(BRFSS)进行了横截面分析。本研究纳入了年龄在 18-49 岁之间的女性,这些女性(1)报告称她们在最近一次性行为中未使用任何类型的避孕措施(使用避孕套、节育器等);(2)报告称她们在 BRFSS 计划生育模块中想要怀孕。社会人口变量包括年龄、种族/民族、教育程度、城市化程度和家庭年收入。孕前健康指标被细分为身体/心理健康、医疗保健途径和行为健康三个类别。利用卡方统计分析来确定孕前健康指标中的社会人口不平等现象:结果:在身体/心理健康类别中,我们发现抑郁症、肥胖症、高血压和糖尿病之间存在显著的统计学差异。在 "医疗保健 "类别中,我们发现医疗保险状况、是否有初级保健医生以及是否负担得起就诊费用在统计上存在显著差异。在行为健康类别中,我们发现吸烟、饮酒、过去 30 天内锻炼以及水果和蔬菜消费量在统计学上存在显著差异:孕产妇死亡率和不良的孕产妇健康结果受很多因素的影响。进一步开展研究以确定影响因素,将有助于在直接受影响人群中实施有针对性的预防措施,从而缓解当前的孕产妇健康危机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disparities in preconception health indicators in U.S. women: a cross-sectional analysis of the behavioral risk factor surveillance system 2019.

Objectives: Optimized preconception care improves birth outcomes and women's health. Yet, little research exists identifying inequities impacting preconception health. This study identifies age, race/ethnicity, education, urbanicity, and income inequities in preconception health.

Methods: We performed a cross-sectional analysis of the Center for Disease Control and Prevention's (CDC) 2019 Behavioral Risk Factor Surveillance System (BRFSS). This study included women aged 18-49 years who (1) reported they were not using any type of contraceptive measure during their last sexual encounter (usage of condoms, birth control, etc.) and (2) reported wanting to become pregnant from the BRFSS Family Planning module. Sociodemographic variables included age, race/ethnicity, education, urbanicity, and annual household income. Preconception health indicators were subdivided into three categories of Physical/Mental Health, Healthcare Access, and Behavioral Health. Chi-squared statistical analysis was utilized to identify sociodemographic inequities in preconception health indicators.

Results: Within the Physical/Mental Health category, we found statistically significant differences among depressive disorder, obesity, high blood pressure, and diabetes. In the Healthcare Access category, we found statistically significant differences in health insurance status, having a primary care doctor, and being able to afford a medical visit. Within the Behavioral Health category, we found statistically significant differences in smoking tobacco, consuming alcohol, exercising in the past 30 days, and fruit and vegetable consumption.

Conclusions: Maternal mortality and poor maternal health outcomes are influenced by many factors. Further research efforts to identify contributing factors will improve the implementation of targeted preventative measures in directly affected populations to alleviate the current maternal health crisis.

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来源期刊
Journal of Perinatal Medicine
Journal of Perinatal Medicine 医学-妇产科学
CiteScore
4.40
自引率
8.30%
发文量
183
审稿时长
4-8 weeks
期刊介绍: The Journal of Perinatal Medicine (JPM) is a truly international forum covering the entire field of perinatal medicine. It is an essential news source for all those obstetricians, neonatologists, perinatologists and allied health professionals who wish to keep abreast of progress in perinatal and related research. Ahead-of-print publishing ensures fastest possible knowledge transfer. The Journal provides statements on themes of topical interest as well as information and different views on controversial topics. It also informs about the academic, organisational and political aims and objectives of the World Association of Perinatal Medicine.
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