Evidence map›Paper›PMID 30600421›Full record

ArticleChild psychiatry and human development2019

Temporal Transitions in Patterns of Posttraumatic Stress Disorder and Depression Among Adolescents Following the Wenchuan Earthquake.

Xiao Zhou, Xinchun Wu

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In one paragraph

Article in Child psychiatry and human development, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 13 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

2 authors at 2 institutions in 1 country.

Xiao ZhouDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, 310028, China.
Xinchun WuBeijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing, 100875, China. xcwu@bnu.edu.cn.
Beijing Normal University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Posttramatic stress disorder (PTSD) and depression are persistent disorders with heterogeneous comorbidity. Cross-sectional design limitations have prevented previous studies from examining symptom pattern transitions, which limits the understanding on the change of mental health over time since trauma. This study examined transition patterns of PTSD and depression comorbidity and assessed the role of personality. PTSD, depression, and personality scales were used to assess 619 adolescents 1 year after the Wenchuan earthquake and then to longitudinally assess 332 adolescents 2 years post-earthquake. Data were analyzed using latent transition analysis and logistic regression. Four PTSD and depression comorbidity patterns were identified at both times: moderate comorbidity, high comorbidity, no symptoms, and depression. Patterns of PTSD and depression changed in 23.4% of adolescents: 4.4% and 7.1% transitioned from no symptoms to depression and from depression to moderate comorbidity, respectively; 7.5% transitioned from moderate comorbidity to depression. Extraversion and conscientiousness were more likely and openness was less likely to be associated with moderate comorbidity symptoms transitioned to depression symptoms. These findings indicated that patterns of PTSD and depression in adolescents are heterogeneous and show temporal change.

Indexed as

DepressionEarthquakesPersonality AssessmentStress Disorders, Post-TraumaticAdolescentChinaComorbidityCross-Sectional StudiesFemaleHumansIndividualityMaleNatural DisastersPsychopathologyAdolescentsDepressionPatternsPTSDTransition analysis

Identifiers

PMID30600421
OpenAlexW2907128898

What OpenQuestion holds

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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.