Evidence map›Paper›PMID 22690334›Full record

ArticleDepression research and treatment2012

Posttraumatic and depressive symptoms in victims of occupational accidents.

Giulia Buodo, Caterina Novara, Marta Ghisi, Daniela Palomba

Open access · hybridAbstract read
In one paragraph

Article in Depression research and treatment, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Psychological morbidity and return to work after injury: multicentre cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2017
    Article
  5. Occupational accidents with biological material among professionals in clinical laboratories in Cajazeiras, Paraíba, Brazil.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT · 2017
    Article
  6. The efficacy of religious service attendance in reducing depressive symptoms.Social psychiatry and psychiatric epidemiology · 2014
    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 at 1 institution in 1 country.

Giulia BuodoDepartment of General Psychology, University of Padova, Via Venezia 8, 35131 Padova, Italy.
Caterina Novara
Marta Ghisi
Daniela Palomba
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present descriptive study was aimed at evaluating posttraumatic and depressive symptoms and their cooccurrence, in a sample of victims of workplace accidents. Also, posttraumatic negative cognitions were assessed. Eighty-five injured workers were evaluated, using the PTSD Symptom Scale, the Beck Depression Inventory II, and the posttraumatic Cognitions Inventory. 49.4% of injured workers reported both depressive and posttraumatic symptoms of clinical relevance. 20% only reported posttraumatic, but not depressive, symptoms, and 30.6% did not report either type of symptoms. The group with both posttraumatic and depressive symptoms displayed greater symptom severity and more negative cognitions about the self and about the world than the other two groups. The obtained findings indicate that workplace accidents can have a major impact upon the mental health of victims. Early interventions should be focused not only on the prevention or reduction of posttraumatic and depressive symptoms but also on restructuring specific maladaptive trauma-related cognitions.

Identifiers

PMID22690334
PMCPMC3368301
OpenAlexW2088881915

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.