Evidence map›Paper›PMID 38525445›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2023

A Difference-In Difference Analysis of the South Carolina 2015 Extreme Floods and the Association with Maternal Health.

Maggie M Sugg, Jennifer D Runkle, Sophie Ryan, Luke Wertis

Abstract read
In one paragraph

Article in International journal of disaster risk reduction : IJDRR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Maggie M SuggDepartment of Geography and Planning, Appalachian State University, Boone, North Carolina.
Jennifer D RunkleNorth Carolina Institute for Climate Studies, North Carolina State University, Asheville, North Carolina.
Sophie RyanDepartment of Geography and Planning, Appalachian State University, Boone, North Carolina.
Luke WertisDepartment of Geography and Planning, Appalachian State University, Boone, North Carolina.

Funding

Climate Change Impacts on Maternal Health in a Southern Birth Cohort: A Causal AnalysisR03ES031228 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI RUNKLE, JENNIFER D., SUGG, MARGARET MAE · 2022 to 2023
$152k
NIEHS NIH HHS R03 ES031228
6 · The paper itself

Abstract

Research documenting the public health impacts of natural disasters often focuses on adults and children. Little research has examined the influence of extreme events, like floods, on maternal health, and less has examined the effect of disasters on maternal indicators like severe maternal morbidity (SMM) or unexpected outcomes of labor and delivery that result in significant short-or long-term consequences to a woman's health. The aim of this study is to identify the impacts of the 2015 flood events on maternal health outcomes in South Carolina, USA. We employ a quasi-experimental design using a difference-in-difference analysis with log-binomial regressions to evaluate maternal outcomes for impacted and control locations during the disaster event. Unlike previous studies, we extended our difference-in-difference analysis to include a trimester of exposure to assess the timing of flood exposure. We did not find evidence of statistically significant main effects on maternal health from the 2015 flood events related to preterm birth, gestational diabetes, mental disorders of pregnancy, depression, and generalized anxiety. However, we did find a statistically significant increase in SMM and low birth weight during the flood event for women in select trimester periods who were directly exposed. Our work provides new evidence on the effects of extreme flood events, like the 2015 floods, which can impact maternal health during specific exposure periods of pregnancy. Additional research is needed across other extreme weather events, as the unique context of the 2015 floods limits the generalizability of our findings.

Indexed as

Climate DisastersDifference-in-Difference AnalysisFloodMaternal HealthNatural DisastersPregnancySevere Maternal MorbiditySoutheastern United States

Identifiers

PMID38525445
PMCPMC10956501

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.