Evidence map›Paper›PMID 32053817›Full record

ArticlePsychopathology2019

Early Detection of the Risk of Developing Psychiatric Disorders: A Study of 461 Chinese University Students under Chronic Stress.

Meng Zhang, René Bridler, Christine Mohr, Ines Moragrega, Ningning Sun, Zhaoyue Xu, Zimo Yang, Michela Possenti, Hans H Stassen

Open access · hybridAbstract read
In one paragraph

Article in Psychopathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 46% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
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

9 authors at 5 institutions in 4 countries.

Meng ZhangDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
René BridlerSanatorium Kilchberg, Kilchberg, Switzerland.
Christine MohrDepartment of Psychology, University of Lausanne, Lausanne, Switzerland.
Ines MoragregaDepartament de Psicobiologia, University of Valencia, Valencia, Spain.
Ningning SunDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
Zhaoyue XuDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
Zimo YangDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
Michela PossentiDipartimento di Psicologia, Università di Milano-Bicocca, Milano-Bicocca, Italy.
Hans H StassenInstitute for Response-Genetics, Psychiatric University Hospital Zurich (KPPP), Zurich, Switzerland, k454910@bli.uzh.ch.
Zhejiang University · CNSanatorium Kilchberg · CHUniversitat de València · ESUniversity of Lausanne · CHUniversity of Milano-Bicocca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic stress, a characteristic of modern time, has a significant impact on general health. In the context of psychiatric disorders, insufficient coping behavior under chronic stress has been linked to higher rates of (1) depressive symptoms among subjects of the general population, (2) relapse among patients under treatment for clinical depression, and (3) negative symptoms among subjects with an elevated vulnerability to psychosis. In this normative study we assessed basic coping behavior among 461 Chinese freshman university students along with their consumption behavior and general health in terms of regular exercises, physical health, psychosomatic disturbances, and mental health. The assessments relied on two instruments that have already demonstrated their capability of (1) reliably detecting insufficient coping behavior under chronic stress and (2) reliably quantifying the interrelation between coping behavior and mental health in the Western world. Thus, we aimed to complement existing data and to develop a generally available, socioculturally independent tool that can be used for the early detection of subjects with an elevated risk of mental health problems. Structural analyses yielded essentially the same scales "activity" and "defeatism" as previous studies on 2,500 students from Switzerland, Italy, Spain, the USA, and Argentina. These scales explained 74.3% of the observed variance in coping behavior among the 461 Chinese students. We found highly significant correlations (p < 0.0001) between the "defeatism" scale on the one hand, and the scales "regular use of medicine," "psychosomatic disturbances," and "impaired mental health" on the other. Particularly intriguing was the finding that a neural net classifier could be constructed to identify students with the highest contributions to the interrelation between "coping behavior" and "mental health," yielding a correlation coefficient as high as r = 0.597 for the respective subgroup. Based on the normative data, an online tool for risk assessments was developed with immediate feedback to users. This study provided another piece of evidence regarding the close link between basic coping behavior and mental health, across cultures and ethnicities. In consequence, our approach to quantifying basic coping behavior, along with other risk factors, can be expected to clear the way for an "early" detection of students with an elevated risk of stress-related mental health problems, nota bene prior to the development of clinically relevant symptoms. The socioeconomic impact of the potential prevention of depressive -disorders, and psychiatric disorders in general, may be enormous.

Indexed as

Early DiagnosisAdolescentAdultFemaleHumansMaleMental HealthPsychophysiologic DisordersPsychotherapyRisk FactorsStress, PsychologicalStudentsUniversitiesYoung AdultBasic coping behaviorChronic stressCollege/university studentsEarly detectionMental healthNeural netsNormative dataPredictionPrevention

Identifiers

PMID32053817
PMCPMC7158233
OpenAlexW3005813390

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.