Evidence map›Paper›PMID 35966479›Full record

ArticleFrontiers in psychiatry2022

Understanding MMPI-2 response structure between schizophrenia and healthy individuals.

Yu Cheng Hsu, Zhiyu Ye, Lisha Dai, Yaqin Jing, Kwok-Leung Tsui, Paul S F Yip, Wentian Li, Qingpeng Zhang

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yu Cheng HsuSchool of Data Science, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Zhiyu YeSchool of Education Research, China University of Geosciences, Wuhan, China.
Lisha DaiSchool of Education Research, China University of Geosciences, Wuhan, China.
Yaqin JingSchool of Education Research, China University of Geosciences, Wuhan, China.
Kwok-Leung TsuiSchool of Data Science, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Paul S F YipDepartment of Social Work and Social Administration, The University of Hong Kong, Kowloon, Hong Kong SAR, China.
Wentian LiSchool of Education Research, China University of Geosciences, Wuhan, China.
Qingpeng ZhangSchool of Data Science, City University of Hong Kong, Kowloon, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Using Minnesota Multiphasic Personality Inventory-2 (MMPI-2) clinical scales to evaluate clinical symptoms in schizophrenia is a well-studied topic. Nonetheless, research focuses less on how these clinical scales interact with each other. Aims: Investigates the network structure and interaction of the MMPI-2 clinical scales between healthy individuals and patients with schizophrenia through the Bayesian network. Method: Data was collected from Wuhan Psychiatric Hospital from March 2008 to May 2018. A total of 714 patients with schizophrenia and 714 healthy subjects were identified through propensity score matching according to the criteria of the International Classification of Diseases (ICD-11). Separated MMPI-2 clinical scales Bayesian networks were built for healthy subjects and patients with schizophrenia, respectively. Results: The Bayesian network showed that the lower 7 scale was a consequence of the correlation between the lower 2 scale and the greater 8 scale. A solely lower 7 scale does yield neither a lower 2 scale nor a higher 8 scale. The proposed method showed 72% of accuracy with 78% area under the ROC curve (AUC), similar to the previous studies. Limitations: The proposed method simplified the continuous Bayesian network to predict binary outcomes, including other categorical data is not explored. Besides, the participants might only represent an endemic as they come from a single hospital. Conclusion: This study identified MMPI-2 clinical scales correlation and built separated Bayesian networks to investigate the difference between patients with schizophrenia and healthy people. These differences may contribute to a better understanding of the clinical symptoms of schizophrenia and provide medical professionals with new perspectives for diagnosis.

Indexed as

Bayesian networkMMPI-2network classificationpersonality assessmentschizophrenia

Identifiers

PMID35966479
PMCPMC9366057

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