Disparities in preconception health indicators in U.S. women: a cross-sectional analysis of the behavioral risk factor surveillance system 2019.

maternal mortality preconception health pregnancy

Journal

Journal of perinatal medicine
ISSN: 1619-3997
Titre abrégé: J Perinat Med
Pays: Germany
ID NLM: 0361031

Informations de publication

Date de publication:
27 Dec 2023
Historique:
received: 15 06 2023
accepted: 04 11 2023
medline: 26 12 2023
pubmed: 26 12 2023
entrez: 26 12 2023
Statut: aheadofprint

Résumé

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. 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. 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. 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.

Identifiants

pubmed: 38146265
pii: jpm-2023-0249
doi: 10.1515/jpm-2023-0249
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 Walter de Gruyter GmbH, Berlin/Boston.

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Auteurs

Rachel Terry (R)

Oklahoma State University Center for Health Sciences, Office of Medical Student Research, Tulsa, OK, USA.

Ashton Gatewood (A)

Oklahoma State University Center for Health Sciences, Office of Medical Student Research, Tulsa, OK, USA.

Covenant Elenwo (C)

Oklahoma State University Center for Health Sciences, Office of Medical Student Research, Tulsa, OK, USA.

Abigail Long (A)

Department of Obstetrics and Gynecology, SSM Health St. Anthony Hospital, Oklahoma City, OK, USA.

Wendi Wu (W)

Department of Obstetrics and Gynecology, SSM Health St. Anthony Hospital, Oklahoma City, OK, USA.

Caroline Markey (C)

Department of Obstetrics and Gynecology, University of Oklahoma School of Community Medicine, Tulsa, OK, USA.

Shawn Strain (S)

Department of Obstetrics and Gynecology, John Peter Smith Hospital, Fort Worth, TX, USA.

Micah Hartwell (M)

Oklahoma State University Center for Health Sciences, Office of Medical Student Research, Tulsa, OK, USA.
Department of Psychiatry and Behavioral Sciences, Oklahoma State University Center for Health Sciences, College of Osteopathic Medicine, Tulsa, OK, USA.

Classifications MeSH