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The Effects of Sociodemographic Factors on Psychiatric Diagnosis
OBJECTIVE: Several studies have reported that ethnic differences influence psychiatric diagnoses. Some previous studies reported that African Americans and Hispanics are diagnosed with schizophrenia spectrum disorders more frequently than Caucasians, and that Caucasians are more likely to be diagnos...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Neuropsychiatric Association
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440467/ https://www.ncbi.nlm.nih.gov/pubmed/22993517 http://dx.doi.org/10.4306/pi.2012.9.3.199 |
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author | Choi, Mal Rye Eun, Hun-Jeong Yoo, Tai P. Yun, Youngmi Wood, Christopher Kase, Michael Park, Jong-Il Yang, Jong-Chul |
author_facet | Choi, Mal Rye Eun, Hun-Jeong Yoo, Tai P. Yun, Youngmi Wood, Christopher Kase, Michael Park, Jong-Il Yang, Jong-Chul |
author_sort | Choi, Mal Rye |
collection | PubMed |
description | OBJECTIVE: Several studies have reported that ethnic differences influence psychiatric diagnoses. Some previous studies reported that African Americans and Hispanics are diagnosed with schizophrenia spectrum disorders more frequently than Caucasians, and that Caucasians are more likely to be diagnosed with affective disorders than other ethnic groups. We sought to identify associations between sociodemographic factors and psychiatric diagnosis. METHODS: We retrospectively examined the medical records of all psychiatric inpatients (ages over 18 years) treated at Kern county mental hospital (n=2,051) between July 2003 and March 2007 for demographic, clinical information, and discharge diagnoses. RESULTS: African American and Hispanic males were more frequently diagnosed with schizophrenia spectrum disorders than Caucasians, whereas Caucasian females were more frequently diagnosed with affective disorders than females in the other ethnic groups, suggesting that patient ethnicity and gender may influence clinical diagnoses. Demographic variables, that is, a lower education, failure of marriage, homelessness, and low quality insurance, were found to be significantly associated with a diagnosis of schizophrenia spectrum disorders after adjusting for clinical variables. And, the presence of a family psychiatric history, failure of marriage, not-homelessness, and quality insurance were found to be associated with a diagnosis of affective disorders. CONCLUSION: Our results show that these demographic factors, including ethnicity, have effects on diagnoses in psychiatric inpatients. Furthermore, these variables may help prediction of psychiatric diagnoses. |
format | Online Article Text |
id | pubmed-3440467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Korean Neuropsychiatric Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-34404672012-09-19 The Effects of Sociodemographic Factors on Psychiatric Diagnosis Choi, Mal Rye Eun, Hun-Jeong Yoo, Tai P. Yun, Youngmi Wood, Christopher Kase, Michael Park, Jong-Il Yang, Jong-Chul Psychiatry Investig Original Article OBJECTIVE: Several studies have reported that ethnic differences influence psychiatric diagnoses. Some previous studies reported that African Americans and Hispanics are diagnosed with schizophrenia spectrum disorders more frequently than Caucasians, and that Caucasians are more likely to be diagnosed with affective disorders than other ethnic groups. We sought to identify associations between sociodemographic factors and psychiatric diagnosis. METHODS: We retrospectively examined the medical records of all psychiatric inpatients (ages over 18 years) treated at Kern county mental hospital (n=2,051) between July 2003 and March 2007 for demographic, clinical information, and discharge diagnoses. RESULTS: African American and Hispanic males were more frequently diagnosed with schizophrenia spectrum disorders than Caucasians, whereas Caucasian females were more frequently diagnosed with affective disorders than females in the other ethnic groups, suggesting that patient ethnicity and gender may influence clinical diagnoses. Demographic variables, that is, a lower education, failure of marriage, homelessness, and low quality insurance, were found to be significantly associated with a diagnosis of schizophrenia spectrum disorders after adjusting for clinical variables. And, the presence of a family psychiatric history, failure of marriage, not-homelessness, and quality insurance were found to be associated with a diagnosis of affective disorders. CONCLUSION: Our results show that these demographic factors, including ethnicity, have effects on diagnoses in psychiatric inpatients. Furthermore, these variables may help prediction of psychiatric diagnoses. Korean Neuropsychiatric Association 2012-09 2012-09-06 /pmc/articles/PMC3440467/ /pubmed/22993517 http://dx.doi.org/10.4306/pi.2012.9.3.199 Text en Copyright © 2012 Korean Neuropsychiatric Association http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Choi, Mal Rye Eun, Hun-Jeong Yoo, Tai P. Yun, Youngmi Wood, Christopher Kase, Michael Park, Jong-Il Yang, Jong-Chul The Effects of Sociodemographic Factors on Psychiatric Diagnosis |
title | The Effects of Sociodemographic Factors on Psychiatric Diagnosis |
title_full | The Effects of Sociodemographic Factors on Psychiatric Diagnosis |
title_fullStr | The Effects of Sociodemographic Factors on Psychiatric Diagnosis |
title_full_unstemmed | The Effects of Sociodemographic Factors on Psychiatric Diagnosis |
title_short | The Effects of Sociodemographic Factors on Psychiatric Diagnosis |
title_sort | effects of sociodemographic factors on psychiatric diagnosis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440467/ https://www.ncbi.nlm.nih.gov/pubmed/22993517 http://dx.doi.org/10.4306/pi.2012.9.3.199 |
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