Evidence map›Paper›PMID 35484539›Full record

ArticleBMC psychiatry2022

PTSD is not the emblematic disorder of the COVID-19 pandemic; adjustment disorder is.

Alain Brunet, Marjolaine Rivest-Beauregard, Michelle Lonergan, Sabrina Cipolletta, Andrew Rasmussen, Xiangfei Meng, Nematollah Jaafari, Sara Romero, Julia Superka, Adam D Brown and 1 more

Abstract read
In one paragraph

Article in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

11 authors.

Alain BrunetResearch Center of the Douglas Mental Health University Institute (CIUSSS-ODIM), 6875 boulevard LaSalle, Montreal, QC, H4H 1R3, Canada. alain.brunet@mcgill.ca.
Marjolaine Rivest-BeauregardResearch Center of the Douglas Mental Health University Institute (CIUSSS-ODIM), 6875 boulevard LaSalle, Montreal, QC, H4H 1R3, Canada.
Michelle LonerganResearch Center of the Douglas Mental Health University Institute (CIUSSS-ODIM), 6875 boulevard LaSalle, Montreal, QC, H4H 1R3, Canada.
Sabrina CipollettaDepartment of General Psychology, University of Padua, Padua, Italy.
Andrew RasmussenDepartment of Psychology, Fordham University, New York, NY, USA.
Xiangfei MengResearch Center of the Douglas Mental Health University Institute (CIUSSS-ODIM), 6875 boulevard LaSalle, Montreal, QC, H4H 1R3, Canada.
Nematollah JaafariDepartment of Psychiatry, Université de Poitiers, Poitiers, France.
Sara RomeroDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
Julia SuperkaDepartment of Psychology, The New School for Social Research, New York, NY, USA.
Adam D BrownDepartment of Psychology, The New School for Social Research, New York, NY, USA.
Ram P SapkotaResearch Center of the Douglas Mental Health University Institute (CIUSSS-ODIM), 6875 boulevard LaSalle, Montreal, QC, H4H 1R3, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPosttraumatic stress disorder (PTSD) has been hailed by some as the emblematic mental disorder of the COVID-19 pandemic, assuming that PTSD's life-threat criterion was met de facto. More plausible outcomes like adjustment disorder (AD) have been overlooked.

methodsAn online cross-sectional survey was launched in the initial stage of the pandemic using a convenience sample of 5 913 adults to compare the prevalence of COVID-related probable PTSD versus probable AD. The abridged Impact of Event Scale - Revised (IES-6) assessed the severity of trauma- and stressor-related symptoms over the previous week. Demographic and pandemic-related data (e.g., receiving a formal diagnosis of COVID-19, job loss, loss of loved one, confinement, material hardship) were collected. A Classification and Regression Tree analysis was conducted to uncover the pandemic experiences leading to clinical 'caseness'. Caseness was defined by a score > 9 on the IES-6 symptom measure and further characterized as PTSD or AD depending on whether the Peritraumatic Distress Inventory's life-threat item was endorsed or not.

resultsThe participants were predominantly Caucasian (72.8%), women (79.2%), with a university degree (85%), and a mean age of 42.22 (SD = 15.24) years; 3 647 participants (61.7%; 95%CI [60.4, 63.0]) met the threshold for caseness. However, when perceived life-threat was accounted for, only 6.7% (95%CI [6.1, 7.4]) were classified as PTSD cases, and 55% (95%CI [53.7, 56.2]) as AD cases. Among the AD cases, three distinct profiles emerged marked by the following: (i) a worst personal pandemic experience eliciting intense fear, helplessness or horror (in the absence, however, of any life-threat), (ii) a pandemic experience eliciting sadness/grief, and (iii) worrying intensely about the safety of significant others.

conclusionsStudies considering the life-threat criterion as met de facto during the pandemic are confusing PTSD for AD on most counts. This misconception is obscuring the various AD-related idioms of distress that have emerged during the pandemic and the actual treatment needs.

Indexed as

COVID-19Stress Disorders, Post-TraumaticAdjustment DisordersAdultCross-Sectional StudiesFemaleHumansPandemicsAdjustment disorderCoronavirusCOVID-19Post-traumatic stressResilience

Identifiers

PMID35484539
PMCPMC9047380

What OpenQuestion holds

Textmetadata
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.