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Quality of Life in Patients With a Major Mental Disorder in Singapore

Background: There has been a paradigm shift in mental health service delivery, from a focus on reducing symptoms to a more holistic approach, which considers Quality of Life (QoL). Method: This study aimed to explore prediction of Quality of Life (QoL) in Asian patients with a major mental disorder...

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Autores principales: Choo, Carol C., Chew, Peter K. H., Ho, Cyrus S., Ho, Roger C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346635/
https://www.ncbi.nlm.nih.gov/pubmed/30713508
http://dx.doi.org/10.3389/fpsyt.2018.00727
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author Choo, Carol C.
Chew, Peter K. H.
Ho, Cyrus S.
Ho, Roger C.
author_facet Choo, Carol C.
Chew, Peter K. H.
Ho, Cyrus S.
Ho, Roger C.
author_sort Choo, Carol C.
collection PubMed
description Background: There has been a paradigm shift in mental health service delivery, from a focus on reducing symptoms to a more holistic approach, which considers Quality of Life (QoL). Method: This study aimed to explore prediction of Quality of Life (QoL) in Asian patients with a major mental disorder i.e., depression or schizophrenia in Singapore. In the current study, there were 43 patients (65.1% females) with depression. Their ages ranged from 18 to 65 (M = 44.63, SD = 12.22). The data were combined with the data on patients with schizophrenia, where there were 43 patients (65.1% females) with schizophrenia, their ages ranging from 18 to 65 (M = 44.60, SD = 12.19). Results: The components of QoL were examined i.e., Physical Component Summary (PCS) and Mental Component Summary (MCS). For all patients, social support and age accounted for 17.3% of the variance in PCS, F((2, 83)) = 8.66, p < 0.001. For patients with depression, disorder severity, age, and duration of treatment accounted for 48.3% of the variance in PCS, F((3, 39)) = 12.15, p < 0.001. For patients with schizophrenia, education (Primary or Lower vs. Post-Secondary or Higher) and emotional coping accounted for 21.3% of the variance in PCS, F((2, 40)) = 5.40, p < 0.01. For all patients, self-efficacy and age accounted for 27.0% of the variance in MCS, F((2, 83)) = 15.37, p < 0.001. For patients with depression, disorder severity accounted for 45.6% of the variance in MCS, F((1, 41)) = 34.33, p < 0.001. For patients with schizophrenia, number of hospitalizations accounted for 18.5% of the variance in MCS, F((1, 41)) = 9.29, p < 0.01. Conclusion: The findings were discussed in regards to implications in interventions to enhance QoL of patients with schizophrenia and depression in Singapore.
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spelling pubmed-63466352019-02-01 Quality of Life in Patients With a Major Mental Disorder in Singapore Choo, Carol C. Chew, Peter K. H. Ho, Cyrus S. Ho, Roger C. Front Psychiatry Psychiatry Background: There has been a paradigm shift in mental health service delivery, from a focus on reducing symptoms to a more holistic approach, which considers Quality of Life (QoL). Method: This study aimed to explore prediction of Quality of Life (QoL) in Asian patients with a major mental disorder i.e., depression or schizophrenia in Singapore. In the current study, there were 43 patients (65.1% females) with depression. Their ages ranged from 18 to 65 (M = 44.63, SD = 12.22). The data were combined with the data on patients with schizophrenia, where there were 43 patients (65.1% females) with schizophrenia, their ages ranging from 18 to 65 (M = 44.60, SD = 12.19). Results: The components of QoL were examined i.e., Physical Component Summary (PCS) and Mental Component Summary (MCS). For all patients, social support and age accounted for 17.3% of the variance in PCS, F((2, 83)) = 8.66, p < 0.001. For patients with depression, disorder severity, age, and duration of treatment accounted for 48.3% of the variance in PCS, F((3, 39)) = 12.15, p < 0.001. For patients with schizophrenia, education (Primary or Lower vs. Post-Secondary or Higher) and emotional coping accounted for 21.3% of the variance in PCS, F((2, 40)) = 5.40, p < 0.01. For all patients, self-efficacy and age accounted for 27.0% of the variance in MCS, F((2, 83)) = 15.37, p < 0.001. For patients with depression, disorder severity accounted for 45.6% of the variance in MCS, F((1, 41)) = 34.33, p < 0.001. For patients with schizophrenia, number of hospitalizations accounted for 18.5% of the variance in MCS, F((1, 41)) = 9.29, p < 0.01. Conclusion: The findings were discussed in regards to implications in interventions to enhance QoL of patients with schizophrenia and depression in Singapore. Frontiers Media S.A. 2019-01-18 /pmc/articles/PMC6346635/ /pubmed/30713508 http://dx.doi.org/10.3389/fpsyt.2018.00727 Text en Copyright © 2019 Choo, Chew, Ho and Ho. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Choo, Carol C.
Chew, Peter K. H.
Ho, Cyrus S.
Ho, Roger C.
Quality of Life in Patients With a Major Mental Disorder in Singapore
title Quality of Life in Patients With a Major Mental Disorder in Singapore
title_full Quality of Life in Patients With a Major Mental Disorder in Singapore
title_fullStr Quality of Life in Patients With a Major Mental Disorder in Singapore
title_full_unstemmed Quality of Life in Patients With a Major Mental Disorder in Singapore
title_short Quality of Life in Patients With a Major Mental Disorder in Singapore
title_sort quality of life in patients with a major mental disorder in singapore
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346635/
https://www.ncbi.nlm.nih.gov/pubmed/30713508
http://dx.doi.org/10.3389/fpsyt.2018.00727
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