Evidence map›Paper›PMID 27558011›Full record

Trial reportScientific reports2016

Mapping concentrations of posttraumatic stress and depression trajectories following Hurricane Ike.

Oliver Gruebner, Sarah R Lowe, Melissa Tracy, Spruha Joshi, Magdalena Cerdá, Fran H Norris, S V Subramanian, Sandro Galea

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Space-Time Dependence of Emotions on Twitter after a Natural Disaster.International journal of environmental research and public health · 2021
    Article
  8. Article
  9. Article
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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

8 authors.

Oliver GruebnerHarvard T.H. Chan School of Public Health, Department of Social and Behavioral Sciences, Boston, MA, USA.
Sarah R LoweMontclair State University, Department of Psychology, Montclair, NJ, USA.
Melissa TracyUniversity at Albany, State University of New York, School of Public Health, Department of Epidemiology and Biostatistics, Albany, NY, USA.
Spruha JoshiUniversity of Minnesota Twin Cities, Division of Epidemiology and Community Health, Minneapolis, MN, USA.
Magdalena CerdáUniversity of California at Davis, Department of Emergency Medicine, Sacramento, CA, USA.
Fran H NorrisGeisel School of Medicine at Dartmouth, Hanover, NH, USA.
S V SubramanianHarvard T.H. Chan School of Public Health, Department of Social and Behavioral Sciences, Boston, MA, USA.
Sandro GaleaBoston University, School of Public Health, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated geographic concentration in elevated risk for a range of postdisaster trajectories of chronic posttraumatic stress symptom (PTSS) and depression symptoms in a longitudinal study (N = 561) of a Hurricane Ike affected population in Galveston and Chambers counties, TX. Using an unadjusted spatial scan statistic, we detected clusters of elevated risk of PTSS trajectories, but not depression trajectories, on Galveston Island. We then tested for predictors of membership in each trajectory of PTSS and depression (e.g., demographic variables, trauma exposure, social support), not taking the geographic nature of the data into account. After adjusting for significant predictors in the spatial scan statistic, we noted that spatial clusters of PTSS persisted and additional clusters of depression trajectories emerged. This is the first study to show that longitudinal trajectories of postdisaster mental health problems may vary depending on the geographic location and the individual- and community-level factors present at these locations. Such knowledge is crucial to identifying vulnerable regions and populations within them, to provide guidance for early responders, and to mitigate mental health consequences through early detection of mental health needs in the population. As human-made disasters increase, our approach may be useful also in other regions in comparable settings worldwide.

Indexed as

Cyclonic StormsDisastersAdolescentAdultAgedFemaleHumansMaleMiddle AgedStress Disorders, Post-TraumaticTexas

Identifiers

PMID27558011
PMCPMC4997353

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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.