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      County-level hurricane exposure and birth rates: application of difference-in-differences analysis for confounding control

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          Abstract

          Background

          Epidemiological analyses of aggregated data are often used to evaluate theoretical health effects of natural disasters. Such analyses are susceptible to confounding by unmeasured differences between the exposed and unexposed populations. To demonstrate the difference-in-difference method our population included all recorded Florida live births that reached 20 weeks gestation and conceived after the first hurricane of 2004 or in 2003 (when no hurricanes made landfall). Hurricane exposure was categorized using ≥74 mile per hour hurricane wind speed as well as a 60 km spatial buffer based on weather data from the National Oceanic and Atmospheric Administration. The effect of exposure was quantified as live birth rate differences and 95 % confidence intervals [RD (95 % CI)]. To illustrate sensitivity of the results, the difference-in-differences estimates were compared to general linear models adjusted for census-level covariates. This analysis demonstrates difference-in-differences as a method to control for time-invariant confounders investigating hurricane exposure on live birth rates.

          Results

          Difference-in-differences analysis yielded consistently null associations across exposure metrics and hurricanes for the post hurricane rate difference between exposed and unexposed areas (e.g., Hurricane Ivan for 60 km spatial buffer [−0.02 births/1000 individuals (−0.51, 0.47)]. In contrast, general linear models suggested a positive association between hurricane exposure and birth rate [Hurricane Ivan for 60 km spatial buffer (2.80 births/1000 individuals (1.94, 3.67)] but not all models.

          Conclusions

          Ecological studies of associations between environmental exposures and health are susceptible to confounding due to unmeasured population attributes. Here we demonstrate an accessible method of control for time-invariant confounders for future research.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12982-015-0042-7) contains supplementary material, which is available to authorized users.

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          Most cited references23

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          Semiparametric Difference-in-Differences Estimators

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            Identification and Inference in Nonlinear Difference-in-Differences Models

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              Disasters and perinatal health:a systematic review.

              The empirical literature on the effects of disaster on pregnancy and the postpartum period is limited. The objective of this review was to examine the existing evidence on the effect of disasters on perinatal health. A systematic review was conducted by searching electronic databases (MEDLINE, EMBASE, Cinahl, PsycInfo), including literature on disasters and pregnancy outcomes (e.g., preterm birth, low birth weight, congenital anomalies), mental health, and child development. A total of 110 articles were identified, but many published reports were anecdotes or recommendations rather than systematic studies. The final review included 49 peer-reviewed studies that met inclusion criteria. Studies addressing the World Trade Center disaster of September 11 and other terrorist attacks, environmental/chemical disasters, and natural disasters such as hurricanes and earthquakes were identified. Disasters of various types may reduce fetal growth in some women, although there does not appear to be an effect on gestational age at birth. Severity of exposure is the major predictor of mental health issues among pregnant and postpartum women. After a disaster, mental health of the mother may more strongly influence on child development than any direct effect of disaster-related prenatal stress. There is evidence that disaster impacts maternal mental health and some perinatal health outcomes, particular among highly exposed women. Future research should focus on understudied outcomes such as spontaneous abortion. Relief workers and clinicians should concentrate on the most exposed women, particularly with respect to mental health. Obstetricians & Gynecologists. After completion of this educational activity, the obstetrician/gynecologist should be better able to compare and contrast the effects of different types of disasters (hurricanes, earthquakes, chemical spills) on pregnant and postpartum women in order to prepare for patient care in the aftermath of such disasters; differentiate the birth outcomes likely to be affected by disaster, in order to identify patients likely to be at high risk; and assess the extent to which pregnant and postpartum women are a uniquely vulnerable population after disaster, to assist in organizing care under such circumstances. 2010 Lippincott Williams & Wilkins, Inc.
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                Author and article information

                Contributors
                (770)757-4313 , sgrabich@email.unc.edu
                whitney_robinson@unc.edu
                Stephanie.Engel@unc.edu
                cek@email.unc.edu
                David.richardson@email.unc.edu
                horney@tamhsc.edu
                Journal
                Emerg Themes Epidemiol
                Emerg Themes Epidemiol
                Emerging Themes in Epidemiology
                BioMed Central (London )
                1742-7622
                22 December 2015
                22 December 2015
                2015
                : 12
                : 19
                Affiliations
                [ ]Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive 2101 McGavran-Greenberg Hall, CB #7435, Chapel Hill, NC 27599 USA
                [ ]Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
                [ ]Department of Epidemiology and Biostatistics, School of Rural Public Health, Texas A&M Health Science Center, College Station, TX USA
                Author information
                http://orcid.org/0000-0003-3474-6874
                Article
                42
                10.1186/s12982-015-0042-7
                4688997
                26702293
                f5a92968-6ee0-499e-8fa0-efd57abca870
                © Grabich et al. 2015

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 21 July 2015
                : 4 December 2015
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2015

                Public health
                difference-in-difference,fixed-effect regression,general linear models,hurricane,disaster,birth rates

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