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Factor structure of the University Personality Inventory in Japanese medical students
BACKGROUND: The age of onset for most mental disorders is typically young adulthood, and the university setting is an important one for addressing mental health. The University Personality Inventory (UPI), which was developed to detect mental health problems in university students, is widely used fo...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528344/ https://www.ncbi.nlm.nih.gov/pubmed/32998770 http://dx.doi.org/10.1186/s40359-020-00469-3 |
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author | Sugawara, Norio Yasui-Furukori, Norio Sayama, Masayuki Shimoda, Kazutaka |
author_facet | Sugawara, Norio Yasui-Furukori, Norio Sayama, Masayuki Shimoda, Kazutaka |
author_sort | Sugawara, Norio |
collection | PubMed |
description | BACKGROUND: The age of onset for most mental disorders is typically young adulthood, and the university setting is an important one for addressing mental health. The University Personality Inventory (UPI), which was developed to detect mental health problems in university students, is widely used for screening in Japan. However, there have been limited reports on the factor structure of the UPI based on a statistical test for binary indicators. The objective of this study was to assess the factor structure of the UPI in Japanese medical students. METHODS: This study examined the factor structure of the UPI in a sample of 1185 Japanese medical students at the time of university admission. The students were divided into subgroup A (n = 589) and subgroup B (n = 596) according to their year of university admission. Based on tetrachoric correlation coefficients, exploratory factor analysis (EFA) with promax rotation was applied to explore the dimensions of the inventory in subgroup A. Confirmatory factor analysis (CFA) was then conducted to verify the dimensions in subgroup B. RESULTS: The EFA with categorical variables yielded four factors in subgroup A. These factors, accounting for 48.9% of the variance, were labeled “Depression and Irritability”, “Anxiety and Persecutory Belief”, “Physical Symptoms”, and “Dependence”. The new four-factor structure showed good fit, and traditional factor structures previously reported were replicated via CFA. The internal consistency reliability was good for the overall UPI scale (alpha = 0.97) and for its four new factors (alpha = 0.83–0.91). CONCLUSIONS: The UPI is a valid and reliable measure that can be used to assess symptoms across four dimensions of mental health in university settings. These findings offer a starting point for the detection of individuals with mental health problems. |
format | Online Article Text |
id | pubmed-7528344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75283442020-10-02 Factor structure of the University Personality Inventory in Japanese medical students Sugawara, Norio Yasui-Furukori, Norio Sayama, Masayuki Shimoda, Kazutaka BMC Psychol Research Article BACKGROUND: The age of onset for most mental disorders is typically young adulthood, and the university setting is an important one for addressing mental health. The University Personality Inventory (UPI), which was developed to detect mental health problems in university students, is widely used for screening in Japan. However, there have been limited reports on the factor structure of the UPI based on a statistical test for binary indicators. The objective of this study was to assess the factor structure of the UPI in Japanese medical students. METHODS: This study examined the factor structure of the UPI in a sample of 1185 Japanese medical students at the time of university admission. The students were divided into subgroup A (n = 589) and subgroup B (n = 596) according to their year of university admission. Based on tetrachoric correlation coefficients, exploratory factor analysis (EFA) with promax rotation was applied to explore the dimensions of the inventory in subgroup A. Confirmatory factor analysis (CFA) was then conducted to verify the dimensions in subgroup B. RESULTS: The EFA with categorical variables yielded four factors in subgroup A. These factors, accounting for 48.9% of the variance, were labeled “Depression and Irritability”, “Anxiety and Persecutory Belief”, “Physical Symptoms”, and “Dependence”. The new four-factor structure showed good fit, and traditional factor structures previously reported were replicated via CFA. The internal consistency reliability was good for the overall UPI scale (alpha = 0.97) and for its four new factors (alpha = 0.83–0.91). CONCLUSIONS: The UPI is a valid and reliable measure that can be used to assess symptoms across four dimensions of mental health in university settings. These findings offer a starting point for the detection of individuals with mental health problems. BioMed Central 2020-10-01 /pmc/articles/PMC7528344/ /pubmed/32998770 http://dx.doi.org/10.1186/s40359-020-00469-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Sugawara, Norio Yasui-Furukori, Norio Sayama, Masayuki Shimoda, Kazutaka Factor structure of the University Personality Inventory in Japanese medical students |
title | Factor structure of the University Personality Inventory in Japanese medical students |
title_full | Factor structure of the University Personality Inventory in Japanese medical students |
title_fullStr | Factor structure of the University Personality Inventory in Japanese medical students |
title_full_unstemmed | Factor structure of the University Personality Inventory in Japanese medical students |
title_short | Factor structure of the University Personality Inventory in Japanese medical students |
title_sort | factor structure of the university personality inventory in japanese medical students |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528344/ https://www.ncbi.nlm.nih.gov/pubmed/32998770 http://dx.doi.org/10.1186/s40359-020-00469-3 |
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