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      Association of Preterm Births Among US Latina Women With the 2016 Presidential Election

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          Key Points

          Question

          Did preterm births increase among Latina women who were pregnant during the 2016 US presidential election?

          Findings

          This population-based study used an interrupted time series design to assess 32.9 million live births and found that the number of preterm births among Latina women increased above expected levels after the election.

          Meaning

          The 2016 presidential election may have been associated with adverse health outcomes of Latina women and their newborns.

          Abstract

          This national population-based study uses a quasi-experimental design to assess the association between preterm births among US Latina mothers and the 2016 US presidential election.

          Abstract

          Importance

          The circumstances surrounding the 2016 US presidential election have been proposed as a significant stressor in the lives of the US Latino population. Few studies to date, however, have evaluated the population health implications of the election for Latina mothers and their children.

          Objective

          To determine whether preterm births (gestational age, <37 weeks) among US Latina women increased above expected levels after the 2016 US presidential election.

          Design, Setting, and Participants

          In this national population-based study, an interrupted time series design, used to evaluate whether policies or other population-level changes interrupt a trend in an outcome, compared monthly counts of preterm births to Latina women after the 2016 presidential election with the number expected had the election not taken place. Women residing in the United States who had singleton births during the study period were included. Counts of singleton term and preterm births by month and race/ethnicity from January 1, 2009, through July 30, 2017 (32 860 727 live births), were obtained from the Centers for Disease Control and Prevention Wonder online database. These methods were applied separately to male and female births. Data were analyzed from November 8, 2018, through May 7, 2019.

          Exposures

          Pregnancy in the 2016 US presidential election.

          Main Outcomes and Measures

          The number of male and female preterm births based on the last menstrual period.

          Results

          Among the 32 860 727 live births recorded during the study period, 11.0% of male and 9.6% of female births to Latina women were preterm compared with 10.2% and 9.3%, respectively, to other women. In the 9-month period beginning with November 2016, an additional 1342 male (95% CI, 795-1889) and 995 female (95% CI, 554-1436) preterm births to Latina women were found above the expected number of preterm births had the election not occurred.

          Conclusions and Relevance

          The 2016 US presidential election appears to have been associated with an increase in preterm births among US Latina women. Anti-immigration policies have been proposed and enforced in the aftermath of the 2016 presidential election; future research should evaluate the association of these actions with population health.

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          Most cited references26

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          Interrupted time series regression for the evaluation of public health interventions: a tutorial

          Abstract Interrupted time series (ITS) analysis is a valuable study design for evaluating the effectiveness of population-level health interventions that have been implemented at a clearly defined point in time. It is increasingly being used to evaluate the effectiveness of interventions ranging from clinical therapy to national public health legislation. Whereas the design shares many properties of regression-based approaches in other epidemiological studies, there are a range of unique features of time series data that require additional methodological considerations. In this tutorial we use a worked example to demonstrate a robust approach to ITS analysis using segmented regression. We begin by describing the design and considering when ITS is an appropriate design choice. We then discuss the essential, yet often omitted, step of proposing the impact model a priori. Subsequently, we demonstrate the approach to statistical analysis including the main segmented regression model. Finally we describe the main methodological issues associated with ITS analysis: over-dispersion of time series data, autocorrelation, adjusting for seasonal trends and controlling for time-varying confounders, and we also outline some of the more complex design adaptations that can be used to strengthen the basic ITS design.
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            Time Series Analysis

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              The contribution of maternal stress to preterm birth: issues and considerations.

              Preterm birth represents the most significant problem in maternal-child health, with maternal stress identified as a variable of interest. The effects of maternal stress on risk of preterm birth may vary as a function of context. This article focuses on select key issues and questions highlighting the need to develop a better understanding of which particular subgroups of pregnant women may be especially vulnerable to the potentially detrimental effects of maternal stress, and under what circumstances and at which stages of gestation. Issues related to the characterization and assessment of maternal stress and candidate biologic mechanisms are addressed. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                19 July 2019
                July 2019
                19 July 2019
                : 2
                : 7
                : e197084
                Affiliations
                [1 ]Program in Public Health, Department of Family, Population and Prevention Medicine, Stony Brook University, Stony Brook, New York
                [2 ]currently affiliated with Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
                [3 ]School of Public Health, University of California, Berkeley
                [4 ]Preterm Birth Initiative, University of California, San Francisco
                [5 ]Department of Epidemiology and Biostatistics, University of California, San Francisco
                Author notes
                Article Information
                Accepted for Publication: May 20, 2019.
                Published: July 19, 2019. doi:10.1001/jamanetworkopen.2019.7084
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2019 Gemmill A et al. JAMA Network Open.
                Corresponding Author: Alison Gemmill, PhD, Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Room E4148, Baltimore, MD 21205 ( agemmill@ 123456jhu.edu ).
                Author Contributions: Drs Gemmill and Catalano had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Gemmill, Catalano, Casey, Karasek, Elser, Torres.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Gemmill, Catalano, Karasek, Torres.
                Critical revision of the manuscript for important intellectual content: All authors.
                Statistical analysis: Catalano.
                Administrative, technical, or material support: Gemmill, Casey, Alcalá, Elser, Torres.
                Supervision: Gemmill, Catalano.
                Conflict of Interest Disclosures: Dr Gemmill reported receiving grants from the Peter G. Peterson Foundation during the conduct of the study. Dr Casey reported receiving grants from the National Institute of Environmental Health Sciences during the conduct of the study. Dr Torres reported receiving grants from the National Institutes of Health outside the submitted work. No other disclosures were reported.
                Funding/Support: This study was supported in part by the Transdisciplinary Postdoctoral Fellowship of the Preterm Birth Initiative at University of California, San Francisco (awarded to Dr Karasek), and a Population Health and Health Equity Scholars program award from the University of California, San Francisco, School of Medicine (awarded to Dr Torres).
                Role of the Funder/Sponsor: The sponsors had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Article
                zoi190286
                10.1001/jamanetworkopen.2019.7084
                6647358
                31322687
                3f754c45-64b2-4fbb-92c8-5ab6caadc1b9
                Copyright 2019 Gemmill A et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 7 March 2019
                : 20 May 2019
                Categories
                Research
                Original Investigation
                Online Only
                Obstetrics and Gynecology

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