Evidence map›Paper›PMID 33298173›Full record

ArticleBMC psychology2020

Associations of serious physical injuries with posttraumatic stress and depressive symptoms: a cross-sectional survey among university students in 26 countries.

Supa Pengpid, Karl Peltzer

Open access · goldAbstract read
In one paragraph

Article in BMC psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 32% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
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

2 authors at 2 institutions in 2 countries.

Supa PengpidASEAN Institute for Health Development, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand.
Karl PeltzerDepartment of Psychology, University of the Free State, Bloemfontein, South Africa. kfpeltzer@gmail.com.ORCID http://orcid.org/0000-0002-5980-0876
Mahidol University · THUniversity of the Free State · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence of the relationship between serious physical injury and poor mental health among university students from low- and middle-income countries is limited. The aim of the study is to assess the association between serious physical injury and posttraumatic stress disorder (PTSD) and depressive symptoms in university students from low- and middle-income countries.

methodsIn a cross-sectional survey, 18,382 university students from 26 countries responded to a short screening scale for DSM-IV PTSD, Center for Epidemiologic Studies Depression Scale as well as questions on injury and sociodemographics.

resultsThe overall prevalence of past 12-month serious physical injury was 24.7%. In adjusted logistic regression analysis, compared to having no past 12-month serious physical injury, having a past 12-month serious injury was associated with 1.35 (95% CI 1.18, 1.56) times higher odds for PTSD symptoms and 1.49 (95% CI 1.32, 1.67) times higher odds for depressive symptoms in university students.

conclusionCompared to students who had not sustained a serious physical injury in the past 12 months, students with an injury had significantly higher PTSD and depressive symptoms. Mental health support of students who sustained physical injuries may prevent PTSD and depressive symptoms.

Indexed as

UniversitiesCross-Sectional StudiesDepressionFemaleHumansMalePrevalenceStress Disorders, Post-TraumaticStudentsWounds and InjuriesYoung AdultAfricaAmericasAsiaDepressive symptomsInjuriesStress disordersStudents

Identifiers

PMID33298173
PMCPMC7727178
OpenAlexW3111429848

What OpenQuestion holds

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LicenceCC BY
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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.