Evidence map›Paper›PMID 33545423›Full record

ArticlePsychiatry research2021

Prospective prediction of PTSD and depressive symptoms during social unrest and COVID-19 using a brief online tool.

Stephanie My Wong, Christy Lm Hui, Corine Sm Wong, Y N Suen, Sherry Kw Chan, Edwin Hm Lee, W C Chang, Eric Yh Chen

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Psychiatry research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04985422 (Ecological Momentary Intervention for Depressive Symptoms in a Community Sample in Hong Kong), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.2field-weighted citation impact, top 6% 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.

NCT04985422 naunknown statusnot on this map

Ecological Momentary Intervention for Depressive Symptoms in a Community Sample in Hong Kong: a Randomised Controlled Trial

TypeinterventionalSponsorThe University of Hong KongRan2021 to 2023Enrolled262ConditionsDepressive SymptomsArmsSmartphone-based Daily Ecological Momentary Intervention, Smartphone-based Weekly-delivered Information
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 29 citations in OpenAlex.

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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 at 1 institution in 1 country.

Stephanie My WongDepartment of Psychiatry, LKS Faculty of Medicine, University of Hong Kong, Hong Kong.
Christy Lm HuiDepartment of Psychiatry, LKS Faculty of Medicine, University of Hong Kong, Hong Kong.
Corine Sm WongDepartment of Psychiatry, LKS Faculty of Medicine, University of Hong Kong, Hong Kong.
Y N SuenDepartment of Psychiatry, LKS Faculty of Medicine, University of Hong Kong, Hong Kong.
Sherry Kw ChanDepartment of Psychiatry, LKS Faculty of Medicine, University of Hong Kong, Hong Kong; State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong.
Edwin Hm LeeDepartment of Psychiatry, LKS Faculty of Medicine, University of Hong Kong, Hong Kong.
W C ChangDepartment of Psychiatry, LKS Faculty of Medicine, University of Hong Kong, Hong Kong; State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong.
Eric Yh ChenDepartment of Psychiatry, LKS Faculty of Medicine, University of Hong Kong, Hong Kong. Electronic address: eyhchen.hk@gmail.com.
University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale protracted population stressors, such as social unrest and the coronavirus disease 2019 (COVID-19), are associated with increased symptoms of post-traumatic stress disorder (PTSD) and depression. Cost-effective mental health screening is prerequisite for timely intervention. We developed an online tool to identify prospective predictors of PTSD and depressive symptoms in the context of co-occurring social unrest and COVID-19 in Hong Kong. 150 participants completed baseline and follow-up assessments, with a median duration of 29 days. Three logistic regression models were constructed to assess its discriminative power in predicting PTSD and depressive symptoms at one month. Receiver-operating characteristic analysis was performed for each model to determine their optimal decision thresholds. Sensitivity and specificity of the models were 87.1% and 53.8% for probable PTSD, 77.5% and 63.3% for high-risk depressive symptoms, and 44.7% and 96.4% for no significant depressive symptoms. The models performed well in discriminating outcomes (AUCs range: 0.769-0.811). Probable PTSD was predicted by social unrest-related traumatic events, high rumination, and low resilience. Rumination and resilience also predicted high-risk and no significant depressive symptoms, with COVID-19-related events also predicting no significant depression risk. Accessible screening of probable mental health outcomes with good predictive capability may be important for early intervention opportunities.

Indexed as

Civil DisordersCOVID-19AdultDepressionFemaleHong KongHumansInternetMaleMiddle AgedPrognosisProspective StudiesPsychiatric Status Rating ScalesStress Disorders, Post-TraumaticCOVID-19Depressive symptomsMass screeningPTSD symptomsRisk assessmentTrauma exposure

Identifiers

PMID33545423
PMCPMC9754713
OpenAlexW3128279766

What OpenQuestion holds

Textmetadata
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Registered trials

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.