2021
DOI: 10.1186/s12955-021-01892-9
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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 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 … Show more

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Cited by 15 publications
(8 citation statements)
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“…Also, those with the lowest quality of life in the dimension of social/family well-being had low social support, high social isolation, low self-efficacy for coping, and high global symptom distress. These findings agree with the literature; studies have reported that factors are differently associated with different dimensions of quality of life among different populations of patients [ 23 ].…”
Section: Discussionsupporting
confidence: 93%
“…Also, those with the lowest quality of life in the dimension of social/family well-being had low social support, high social isolation, low self-efficacy for coping, and high global symptom distress. These findings agree with the literature; studies have reported that factors are differently associated with different dimensions of quality of life among different populations of patients [ 23 ].…”
Section: Discussionsupporting
confidence: 93%
“…To the best of our knowledge, few authors proposed analyzing the GHQ-12 scale via an IRT approach. In some cases, IRT was applied as a suitable tool to determine the factor structure of the scale (Smith et al, 2010, Bohnke & Croudace, 2016, and more recently through the multidimensional version of IRT (Nouri et al 2021), to perform computerized adaptive testing, (Stochl, Böhnke et al, 2016) or to deeply analyze the questionnaire through Mokken analysis (Stochl, Jones, Croudaet al, 2012). However, at the best of our knowledge, no studies so far have investigated the performance of the GHQ-12 with IRT in an occupational setting during a pandemic.…”
Section: Preliminary Resultsmentioning
confidence: 99%
“…The research scenario of LPRM can be expanded, such as establishing a pattern recognition framework for the MCAT with polytomous items. Note that for the multidimensional graded-response data, the MGRM is an essential compensatory MIRT model for the paper-and-pencil test or the MCAT (e.g., Jiang et al, 2016;Depaoli et al, 2018;Tu et al, 2018;Wang et al, 2018a, Wang et al, 2019Nouri et al, 2021), so it is necessary to extend the item-trait pattern recognition idea for the items with dichotomous responses to those with graded responses. Moreover, the LPRM was developed directly based on the M2PLM.…”
Section: Introductionmentioning
confidence: 99%