How different domains of quality of life are associated with latent dimensions of mental health measured by GHQ-12

Abstract Background and objectives A short form of the General Health Questionnaire (GHQ-12) is a useful screening instrument for assessing mental health. Furthermore, Quality of life (QoL) is a critical treatment outcome in many clinical and health care research settings. This study aimed to reasse...

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Autores principales:	Fatemeh Nouri, Awat Feizi, Hamidreza Roohafza, Masoumeh Sadeghi, Nizal Sarrafzadegan
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	General Health Questionnaire (GHQ-12) Mental health Item Response Theory Quality of life (QoL) Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/48c0488e928c4de0864703932ca6ff3f
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spelling	oai:doaj.org-article:48c0488e928c4de0864703932ca6ff3f2021-11-21T12:28:09ZHow different domains of quality of life are associated with latent dimensions of mental health measured by GHQ-1210.1186/s12955-021-01892-91477-7525https://doaj.org/article/48c0488e928c4de0864703932ca6ff3f2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12955-021-01892-9https://doaj.org/toc/1477-7525Abstract Background and objectives A short form of the General Health Questionnaire (GHQ-12) is a useful screening instrument for assessing mental health. Furthermore, Quality of life (QoL) is a critical treatment outcome in many clinical and health care research settings. This study aimed to reassess the dimensionality of GHQ-12 using Multidimensional Graded Response Model (MGRM) and evaluate how its extracted dimensions are associated with the QoL's domains. Methods Isfahan Cohort Study 2 (ICS2) is a population-based, ongoing prospective cohort study among adults aged 35 years and older who were free of cardiovascular diseases (CVDs) at the beginning of the study in 2013. A total of 1316 participants, all living in urban and rural areas of Isfahan and Najafabad, Iran was completed the GHQ-12 and WHO QoL-brief version at baseline. Five competing MGRMs with different latent structures were specified for GHQ-12. Factor scores derived from the best fitted model were used to associate with various domains of QoL. Results: The Three-Dimensional model for GHQ-12 was the best-fitted model explaining the Social Function (SF), Self Confidence (SC), and Anxiety/Depression (A/D) as three correlated yet different latent dimensions of mental health. Our findings in full adjusted multivariate regression models showed that a one-SD increase in dimensions of SC and SF was associated with a 38- to 48%-SD and 27- to 38%-SD increase in the domains scores of QoL, respectively. Moreover, for each one‐SD increase in score of A/D dimension, the domains scores of QoL decreased by 29- to 40%-SD. The highest to the lowest standardized coefficients for all latent dimensions of mental health were respectively related to the psychological, physical health, social relationships, and environmental condition domains of QoL. Furthermore, SC, A/D, and SF dimensions of GHQ-12 showed the highest to the lowest degree of association with all domains of QoL. Conclusions Our findings confirm that the GHQ-12 as a multidimensional rather than unitary instrument measures distinct dimensions of mental health. Furthermore, all aspects of QoL changed when the intensity of latent dimensions of mental health increased. Moreover, the psychological domain of QoL is the most affected by all latent dimensions of mental health, followed by physical health, social relationships, and environmental condition domains. It seems that in an attempt to full recovery as assessed by improved QoL outcomes, treatment of clinical symptoms may not be sufficient. Identifying and differentiating the structures of mental health in each community as well as implementing intervention programs aimed at focusing on specific dimensions may help in the prevention of further deterioration of mental health and improved QoL in the community.Fatemeh NouriAwat FeiziHamidreza RoohafzaMasoumeh SadeghiNizal SarrafzadeganBMCarticleGeneral Health Questionnaire (GHQ-12)Mental healthItem Response TheoryQuality of life (QoL)Computer applications to medicine. Medical informaticsR858-859.7ENHealth and Quality of Life Outcomes, Vol 19, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	General Health Questionnaire (GHQ-12) Mental health Item Response Theory Quality of life (QoL) Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	General Health Questionnaire (GHQ-12) Mental health Item Response Theory Quality of life (QoL) Computer applications to medicine. Medical informatics R858-859.7 Fatemeh Nouri Awat Feizi Hamidreza Roohafza Masoumeh Sadeghi Nizal Sarrafzadegan How different domains of quality of life are associated with latent dimensions of mental health measured by GHQ-12
description	Abstract Background and objectives A short form of the General Health Questionnaire (GHQ-12) is a useful screening instrument for assessing mental health. Furthermore, Quality of life (QoL) is a critical treatment outcome in many clinical and health care research settings. This study aimed to reassess the dimensionality of GHQ-12 using Multidimensional Graded Response Model (MGRM) and evaluate how its extracted dimensions are associated with the QoL's domains. Methods Isfahan Cohort Study 2 (ICS2) is a population-based, ongoing prospective cohort study among adults aged 35 years and older who were free of cardiovascular diseases (CVDs) at the beginning of the study in 2013. A total of 1316 participants, all living in urban and rural areas of Isfahan and Najafabad, Iran was completed the GHQ-12 and WHO QoL-brief version at baseline. Five competing MGRMs with different latent structures were specified for GHQ-12. Factor scores derived from the best fitted model were used to associate with various domains of QoL. Results: The Three-Dimensional model for GHQ-12 was the best-fitted model explaining the Social Function (SF), Self Confidence (SC), and Anxiety/Depression (A/D) as three correlated yet different latent dimensions of mental health. Our findings in full adjusted multivariate regression models showed that a one-SD increase in dimensions of SC and SF was associated with a 38- to 48%-SD and 27- to 38%-SD increase in the domains scores of QoL, respectively. Moreover, for each one‐SD increase in score of A/D dimension, the domains scores of QoL decreased by 29- to 40%-SD. The highest to the lowest standardized coefficients for all latent dimensions of mental health were respectively related to the psychological, physical health, social relationships, and environmental condition domains of QoL. Furthermore, SC, A/D, and SF dimensions of GHQ-12 showed the highest to the lowest degree of association with all domains of QoL. Conclusions Our findings confirm that the GHQ-12 as a multidimensional rather than unitary instrument measures distinct dimensions of mental health. Furthermore, all aspects of QoL changed when the intensity of latent dimensions of mental health increased. Moreover, the psychological domain of QoL is the most affected by all latent dimensions of mental health, followed by physical health, social relationships, and environmental condition domains. It seems that in an attempt to full recovery as assessed by improved QoL outcomes, treatment of clinical symptoms may not be sufficient. Identifying and differentiating the structures of mental health in each community as well as implementing intervention programs aimed at focusing on specific dimensions may help in the prevention of further deterioration of mental health and improved QoL in the community.
format	article
author	Fatemeh Nouri Awat Feizi Hamidreza Roohafza Masoumeh Sadeghi Nizal Sarrafzadegan
author_facet	Fatemeh Nouri Awat Feizi Hamidreza Roohafza Masoumeh Sadeghi Nizal Sarrafzadegan
author_sort	Fatemeh Nouri
title	How different domains of quality of life are associated with latent dimensions of mental health measured by GHQ-12
title_short	How different domains of quality of life are associated with latent dimensions of mental health measured by GHQ-12
title_full	How different domains of quality of life are associated with latent dimensions of mental health measured by GHQ-12
title_fullStr	How different domains of quality of life are associated with latent dimensions of mental health measured by GHQ-12
title_full_unstemmed	How different domains of quality of life are associated with latent dimensions of mental health measured by GHQ-12
title_sort	how different domains of quality of life are associated with latent dimensions of mental health measured by ghq-12
publisher	BMC
publishDate	2021
url	https://doaj.org/article/48c0488e928c4de0864703932ca6ff3f
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How different domains of quality of life are associated with latent dimensions of mental health measured by GHQ-12

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