{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T18:01:22Z","timestamp":1785520882749,"version":"3.56.0"},"reference-count":81,"publisher":"Cambridge University Press (CUP)","issue":"1","license":[{"start":{"date-parts":[[2022,10,28]],"date-time":"2022-10-28T00:00:00Z","timestamp":1666915200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Clin. Trans. Sci."],"published-print":{"date-parts":[[2023]]},"abstract":"<jats:title>Abstract<\/jats:title>\n\t  <jats:sec id=\"S205986612200468X_as1\">\n\t    <jats:title>Introduction:<\/jats:title>\n\t    <jats:p>The USA has higher rates of preterm birth and incarceration than any other developed nation, with rates of both being highest in Southern states and among Black Americans, potentially due to rurality and socioeconomic factors. To test our hypothesis that prior-year county-level rates of jail admission, economic distress, and rurality were positively associated with premature birth rates in the county of delivery in 2019 and that the strength of these associations is greater for Black women than for White or Hispanic women, we merged five datasets to perform multivariable analysis of data from 766 counties across 12 Southern\/rural states.<\/jats:p>\n\t  <\/jats:sec>\n\t  <jats:sec id=\"S205986612200468X_as2\">\n\t    <jats:title>Methods:<\/jats:title>\n\t    <jats:p>We used multivariable linear regression to model the percentage of babies born premature, stratified by Black (Model 1), Hispanic (Model 2), and White (Model 3) mothers. Each model included all three independent variables of interest measured using data from the Vera Institute, Distressed Communities Index, and Index of Relative Rurality.<\/jats:p>\n\t  <\/jats:sec>\n\t  <jats:sec id=\"S205986612200468X_as3\">\n\t    <jats:title>Results:<\/jats:title>\n\t    <jats:p>In fully fitted stratified models, economic distress was positively associated with premature births among Black (<jats:italic>F<\/jats:italic> = 33.81, <jats:italic>p<\/jats:italic> &lt; 0.0001) and White (<jats:italic>F<\/jats:italic> = 26.50, <jats:italic>p<\/jats:italic> &lt; 0.0001) mothers. Rurality was associated with premature births among White mothers (<jats:italic>F<\/jats:italic> = 20.02, <jats:italic>p<\/jats:italic> &lt; 0.0001). Jail admission rate was not associated with premature births among any racial group, and none of the study variables were associated with premature births among Hispanic mothers.<\/jats:p>\n\t  <\/jats:sec>\n\t  <jats:sec id=\"S205986612200468X_as4\">\n\t    <jats:title>Conclusions:<\/jats:title>\n\t    <jats:p>Understanding the connections between preterm birth and enduring structural inequities is a necessary scientific endeavor to advance to later translational stages in health-disparities research<\/jats:p>\n\t  <\/jats:sec>","DOI":"10.1017\/cts.2022.468","type":"journal-article","created":{"date-parts":[[2022,10,28]],"date-time":"2022-10-28T00:01:44Z","timestamp":1666915304000},"source":"Crossref","is-referenced-by-count":2,"title":["County-level jail incarceration, community economic distress, rurality, and preterm birth among women in the US South"],"prefix":"10.1017","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3316-8665","authenticated-orcid":false,"given":"Brooke E. 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