Evidence map›Paper›PMID 36609214›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Pregnant Women's Experiences During and After Hurricanes Irma and Maria, Pregnancy Risk Assessment Monitoring System, Puerto Rico, 2018.

Regina M Simeone, L Duane House, Beatriz Salvesen von Essen, Katherine Kortsmit, Wanda Hernandez Virella, Manuel I Vargas Bernal, Romeo R Galang, Denise V D'Angelo, Carrie K Shapiro-Mendoza, Sascha R Ellington

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Sex and Gender Influences on the Impacts of Disasters: A Rapid Review of Evidence.International journal of environmental research and public health · 2025
    Review
  9. 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

10 authors.

Regina M SimeoneDivision of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0002-2779-3747
L Duane HouseDivision of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Beatriz Salvesen von EssenDivision of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Katherine KortsmitDivision of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0001-7972-9117
Wanda Hernandez VirellaPuerto Rico Department of Health, San Juan, Puerto Rico.
Manuel I Vargas BernalPuerto Rico Department of Health, San Juan, Puerto Rico.
Romeo R GalangDivision of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Denise V D'AngeloDivision of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Carrie K Shapiro-MendozaDivision of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Sascha R EllingtonDivision of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveExposure to natural disasters during and after pregnancy may increase adverse mental health outcomes. Hurricanes Irma and Maria struck Puerto Rico in September 2017. Our objectives were to understand hurricane-related experiences, maternal health concerns, and the impact of hurricane experiences on postpartum depressive symptoms (PDS).

methodsWe used data from the 2018 Pregnancy Risk Assessment Monitoring System to describe differences in maternal hurricane experiences among women who were pregnant during and after the 2017 hurricanes. We assessed maternal concerns and PDS. We estimated adjusted prevalence ratios (aPRs) and 95% CIs for the associations between hurricane experiences and PDS.

resultsThe most frequently reported hurricane experiences were losing power for ≥1 week (97%) and feeling unsafe due to lack of order/security (70%). Almost 30% of women who were pregnant during the hurricanes reported missing prenatal care. PDS were reported by 13% of women. Most hurricane experiences were associated with an increased prevalence of PDS. Feeling unsafe (aPR = 2.4; 95% CI, 1.2-4.9) and having difficulty getting food (aPR = 2.1; 95% CI, 1.1-4.1) had the strongest associations.

conclusionsMost women who were pregnant during or after hurricanes Irma and Maria struck Puerto Rico reported negative hurricane experiences, and most experiences were associated with an increased prevalence of PDS. Understanding the experiences of pregnant women during and after disasters and identifying risks for adverse mental health outcomes after pregnancy are important to inform emergency preparedness and prenatal and postpartum care.

Indexed as

Cyclonic StormsDisastersFemaleHumansPregnancyPregnant PeoplePuerto RicoRisk Assessmentdisasterhurricanesmaternal healthPRAMSpregnancyprenatalpreparedness

Identifiers

PMID36609214
PMCPMC10576487

What OpenQuestion holds

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Registered trials

None linked

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.