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County-Level Associations Between Pregnancy-Related Mortality Ratios and Contextual Sociospatial Indicators

OBJECTIVE: To characterize county-level differences in pregnancy-related mortality as a function of sociospatial indicators. METHODS: We conducted a cross-sectional multilevel analysis of all pregnancy-related deaths and all live births with available ZIP code or county data in the Pregnancy Mortali...

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Autores principales: Barrera, Chloe M., Kramer, Michael R., Merkt, Peter T., Petersen, Emily E., Brantley, Mary D., Eckhaus, Lindsay, Beauregard, Jennifer L., Goodman, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015027/
https://www.ncbi.nlm.nih.gov/pubmed/35576344
http://dx.doi.org/10.1097/AOG.0000000000004749
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author Barrera, Chloe M.
Kramer, Michael R.
Merkt, Peter T.
Petersen, Emily E.
Brantley, Mary D.
Eckhaus, Lindsay
Beauregard, Jennifer L.
Goodman, David A.
author_facet Barrera, Chloe M.
Kramer, Michael R.
Merkt, Peter T.
Petersen, Emily E.
Brantley, Mary D.
Eckhaus, Lindsay
Beauregard, Jennifer L.
Goodman, David A.
author_sort Barrera, Chloe M.
collection PubMed
description OBJECTIVE: To characterize county-level differences in pregnancy-related mortality as a function of sociospatial indicators. METHODS: We conducted a cross-sectional multilevel analysis of all pregnancy-related deaths and all live births with available ZIP code or county data in the Pregnancy Mortality Surveillance System during 2011–2016 for non-Hispanic Black, Hispanic (all races), and non-Hispanic White women aged 15–44 years. The exposures included 31 conceptually-grounded, county-specific sociospatial indicators that were collected from publicly available data sources and categorized into domains of demographic; general, reproductive, and behavioral health; social capital and support; and socioeconomic contexts. We calculated the absolute difference of county-level pregnancy-related mortality ratios (deaths per 100,000 live births) per 1-unit increase in the median absolute difference between women living in counties with higher compared with lower levels of each sociospatial indicator overall and stratified by race and ethnicity. RESULTS: Pregnancy-related mortality varied across counties and by race and ethnicity. Many sociospatial indicators were associated with county-specific pregnancy-related mortality ratios independent of maternal age, population size, and Census region. Across domains, the most harmful indicators were percentage of low-birth-weight births (absolute ratio difference [RD] 6.44; 95% CI 5.36–7.51), percentage of unemployed adults (RD 4.98; 95% CI 3.91–6.05), and food insecurity (RD 4.92; 95% CI 4.14–5.70). The most protective indicators were higher median household income (RD −2.76; 95% CI −3.28 to −2.24), percentage of college-educated adults (RD −2.28; 95% CI −2.81 to −1.75), and percentage of owner-occupied households (RD −1.66; 95% CI −2.29 to −1.03). The magnitude of these associations varied by race and ethnicity. CONCLUSION: This analysis identified sociospatial indicators of pregnancy-related mortality and showed an association between pregnancy-related deaths and place of residence overall and stratified by race and ethnicity. Understanding county-level context associated with pregnancy-related mortality may be an important step towards building public health evidence to inform action to reduce pregnancy-related mortality at local levels.
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spelling pubmed-90150272022-04-20 County-Level Associations Between Pregnancy-Related Mortality Ratios and Contextual Sociospatial Indicators Barrera, Chloe M. Kramer, Michael R. Merkt, Peter T. Petersen, Emily E. Brantley, Mary D. Eckhaus, Lindsay Beauregard, Jennifer L. Goodman, David A. Obstet Gynecol Contents OBJECTIVE: To characterize county-level differences in pregnancy-related mortality as a function of sociospatial indicators. METHODS: We conducted a cross-sectional multilevel analysis of all pregnancy-related deaths and all live births with available ZIP code or county data in the Pregnancy Mortality Surveillance System during 2011–2016 for non-Hispanic Black, Hispanic (all races), and non-Hispanic White women aged 15–44 years. The exposures included 31 conceptually-grounded, county-specific sociospatial indicators that were collected from publicly available data sources and categorized into domains of demographic; general, reproductive, and behavioral health; social capital and support; and socioeconomic contexts. We calculated the absolute difference of county-level pregnancy-related mortality ratios (deaths per 100,000 live births) per 1-unit increase in the median absolute difference between women living in counties with higher compared with lower levels of each sociospatial indicator overall and stratified by race and ethnicity. RESULTS: Pregnancy-related mortality varied across counties and by race and ethnicity. Many sociospatial indicators were associated with county-specific pregnancy-related mortality ratios independent of maternal age, population size, and Census region. Across domains, the most harmful indicators were percentage of low-birth-weight births (absolute ratio difference [RD] 6.44; 95% CI 5.36–7.51), percentage of unemployed adults (RD 4.98; 95% CI 3.91–6.05), and food insecurity (RD 4.92; 95% CI 4.14–5.70). The most protective indicators were higher median household income (RD −2.76; 95% CI −3.28 to −2.24), percentage of college-educated adults (RD −2.28; 95% CI −2.81 to −1.75), and percentage of owner-occupied households (RD −1.66; 95% CI −2.29 to −1.03). The magnitude of these associations varied by race and ethnicity. CONCLUSION: This analysis identified sociospatial indicators of pregnancy-related mortality and showed an association between pregnancy-related deaths and place of residence overall and stratified by race and ethnicity. Understanding county-level context associated with pregnancy-related mortality may be an important step towards building public health evidence to inform action to reduce pregnancy-related mortality at local levels. Lippincott Williams & Wilkins 2022-05 2022-04-05 /pmc/articles/PMC9015027/ /pubmed/35576344 http://dx.doi.org/10.1097/AOG.0000000000004749 Text en © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Contents
Barrera, Chloe M.
Kramer, Michael R.
Merkt, Peter T.
Petersen, Emily E.
Brantley, Mary D.
Eckhaus, Lindsay
Beauregard, Jennifer L.
Goodman, David A.
County-Level Associations Between Pregnancy-Related Mortality Ratios and Contextual Sociospatial Indicators
title County-Level Associations Between Pregnancy-Related Mortality Ratios and Contextual Sociospatial Indicators
title_full County-Level Associations Between Pregnancy-Related Mortality Ratios and Contextual Sociospatial Indicators
title_fullStr County-Level Associations Between Pregnancy-Related Mortality Ratios and Contextual Sociospatial Indicators
title_full_unstemmed County-Level Associations Between Pregnancy-Related Mortality Ratios and Contextual Sociospatial Indicators
title_short County-Level Associations Between Pregnancy-Related Mortality Ratios and Contextual Sociospatial Indicators
title_sort county-level associations between pregnancy-related mortality ratios and contextual sociospatial indicators
topic Contents
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015027/
https://www.ncbi.nlm.nih.gov/pubmed/35576344
http://dx.doi.org/10.1097/AOG.0000000000004749
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