Evidence map›Paper›PMID 36588436›Full record

ArticlePsychiatry investigation2022

Psychometric Properties of the Mental Health Continuum-Short Form (MHC-SF): A Study With Individuals With Schizophrenia Living in the Community.

Young-Jin Lim

Abstract read
In one paragraph

Article in Psychiatry investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

1 author.

Young-Jin LimDepartment of Psychology, Daegu University, Gyeongsan, Republic of Korea.

Funding

Daegu University Research Grant
6 · The paper itself

Abstract

objectiveThe Mental Health Continuum-Short Form (MHC-SF) is widely used to measure positive mental health. This study is the first to examine the psychometric properties of the MHC-SF in persons with schizophrenia living in the community.

methodsTwo hundred thirty-one individuals with schizophrenia living in the community in South Korea filled out the MHC-SF. Confirmatory factor analysis (CFA), bifactor CFA, exploratory structural equation modeling (ESEM), and bifactor ESEM were undertaken to examine the factor structure of the MHC-SF.

resultsResults showed that a three-factor bifactor ESEM model yielded better fit than the other alternative models. Indices of internal consistency reliability were acceptable.

conclusionThe results suggest that bifactor ESEM is an appropriate analysis for examining the factor structure of the MHC-SF in individuals with schizophrenia. The findings support the use of the overall MHC-SF scale rather than the use of the subscales in people with schizophrenia.

Indexed as

Bifactor ESEMMHC-SFPositive mental healthSchizophrenia

Identifiers

PMID36588436
PMCPMC9806510

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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.