The Experts below are selected from a list of 143682 Experts worldwide ranked by ideXlab platform

Marko Elovanio - One of the best experts on this subject based on the ideXlab platform.

  • General Health Questionnaire ghq 12 beck depression inventory bdi 6 and mental Health index mhi 5 psychometric and predictive properties in a finnish population based sample
    Psychiatry Research-neuroimaging, 2020
    Co-Authors: Marko Elovanio, Christian Hakulinen, Laura Pulkkiraback, Annamari Aalto, Marianna Virtanen, Timo Partonen, Jaana Suvisaari
    Abstract:

    Abstract The short versions of the General Health Questionnaire (GHQ-12), Beck's Depression Inventory (BDI-6), and Mental Health Index (MHI-5) are all valid and reliable measures of General psychological distress, depressive symptoms, and anxiety. We tested the psychometric properties of the scales, their overlap, and their ability to predict mental Health service use using both regression and machine learning (ML, random forest) approaches. Data were from the population-based FinHealth-2017 Study of adults (N = 4270) with data on all of the evaluated instruments. Constructive validity, internal consistency, invariance, and optimal cut-off points in predicting mental Health services were tested. Constructive validity was acceptable and all instruments measured their own distinct phenomenon. Some of the item scoring in BDI-6 was not optimal, and the sensitivity and specificity of all scales were relatively weak in predicting service use. Small gender differences emerged in optimal cut-off points. ML did not improve model predictions. GHQ-12, BDI-6, and MHI-5 may be interpreted to measure different constructs of psychological Health symptoms, but are not particularly useful predictors of service use.

Xican Yin - One of the best experts on this subject based on the ideXlab platform.

  • the factor structure of the 12 item General Health Questionnaire ghq 12 in young chinese civil servants
    Health and Quality of Life Outcomes, 2016
    Co-Authors: Ying Liang, Lei Wang, Xican Yin
    Abstract:

    Background The 12-item General Health Questionnaire (GHQ-12) is a commonly used screening instrument for measuring mental disorders. However, few studies have measured the mental Health of Chinese professionals or explored the factor structure of the GHQ-12 through investigations of young Chinese civil servants.

  • the factor structure of the 12 item General Health Questionnaire ghq 12 in young chinese civil servants
    Health and Quality of Life Outcomes, 2016
    Co-Authors: Ying Liang, Lei Wang, Xican Yin
    Abstract:

    The 12-item General Health Questionnaire (GHQ-12) is a commonly used screening instrument for measuring mental disorders. However, few studies have measured the mental Health of Chinese professionals or explored the factor structure of the GHQ-12 through investigations of young Chinese civil servants. This study analyses the factor structure of the GHQ-12 on young Chinese civil servants. Respondents include 1051 participants from six cities in eastern China. Exploratory Factor Analysis (EFA) is used to identify the potential factor structure of the GHQ-12. Confirmatory Factor Analysis (CFA) models of previous studies are referred to for model fitting. The results indicate the GHQ-12 has very good reliability and validity. All ten CFA models are well fitted with the actual data. All the ten models are feasible and fit the data equally well. The Chinese version of the GHQ-12 is suitable for professional groups and can serve as a screening tool to detect anxiety and psychiatric disorders.

Jaana Suvisaari - One of the best experts on this subject based on the ideXlab platform.

  • General Health Questionnaire ghq 12 beck depression inventory bdi 6 and mental Health index mhi 5 psychometric and predictive properties in a finnish population based sample
    Psychiatry Research-neuroimaging, 2020
    Co-Authors: Marko Elovanio, Christian Hakulinen, Laura Pulkkiraback, Annamari Aalto, Marianna Virtanen, Timo Partonen, Jaana Suvisaari
    Abstract:

    Abstract The short versions of the General Health Questionnaire (GHQ-12), Beck's Depression Inventory (BDI-6), and Mental Health Index (MHI-5) are all valid and reliable measures of General psychological distress, depressive symptoms, and anxiety. We tested the psychometric properties of the scales, their overlap, and their ability to predict mental Health service use using both regression and machine learning (ML, random forest) approaches. Data were from the population-based FinHealth-2017 Study of adults (N = 4270) with data on all of the evaluated instruments. Constructive validity, internal consistency, invariance, and optimal cut-off points in predicting mental Health services were tested. Constructive validity was acceptable and all instruments measured their own distinct phenomenon. Some of the item scoring in BDI-6 was not optimal, and the sensitivity and specificity of all scales were relatively weak in predicting service use. Small gender differences emerged in optimal cut-off points. ML did not improve model predictions. GHQ-12, BDI-6, and MHI-5 may be interpreted to measure different constructs of psychological Health symptoms, but are not particularly useful predictors of service use.

Annamari Aalto - One of the best experts on this subject based on the ideXlab platform.

  • General Health Questionnaire ghq 12 beck depression inventory bdi 6 and mental Health index mhi 5 psychometric and predictive properties in a finnish population based sample
    Psychiatry Research-neuroimaging, 2020
    Co-Authors: Marko Elovanio, Christian Hakulinen, Laura Pulkkiraback, Annamari Aalto, Marianna Virtanen, Timo Partonen, Jaana Suvisaari
    Abstract:

    Abstract The short versions of the General Health Questionnaire (GHQ-12), Beck's Depression Inventory (BDI-6), and Mental Health Index (MHI-5) are all valid and reliable measures of General psychological distress, depressive symptoms, and anxiety. We tested the psychometric properties of the scales, their overlap, and their ability to predict mental Health service use using both regression and machine learning (ML, random forest) approaches. Data were from the population-based FinHealth-2017 Study of adults (N = 4270) with data on all of the evaluated instruments. Constructive validity, internal consistency, invariance, and optimal cut-off points in predicting mental Health services were tested. Constructive validity was acceptable and all instruments measured their own distinct phenomenon. Some of the item scoring in BDI-6 was not optimal, and the sensitivity and specificity of all scales were relatively weak in predicting service use. Small gender differences emerged in optimal cut-off points. ML did not improve model predictions. GHQ-12, BDI-6, and MHI-5 may be interpreted to measure different constructs of psychological Health symptoms, but are not particularly useful predictors of service use.

  • the beck depression inventory and General Health Questionnaire as measures of depression in the General population a validation study using the composite international diagnostic interview as the gold standard
    Psychiatry Research-neuroimaging, 2012
    Co-Authors: Annamari Aalto, Marko Elovainio, Mika Kivimaki, Antti Uutela, Sami Pirkola
    Abstract:

    The Beck Depression Inventory (BDI) and the General Health Questionnaire (GHQ) are commonly used in population studies as measures of depression. We examined in a population sample the validity of four scales for depressive symptoms, the GHQ-12, the 21- and 13-item versions of the BDI, and a new 6-item version of the BDI developed for this study. A total of 5561 participants in the "Health 2000" survey (30-79 years) completed the four scales and were assessed with the Composite International Diagnostic Interview (CIDI), which was used as the validation criterion. We selected items for the BDI-6 through an exploratory factor analysis for the BDI-21. The accuracy of the scales, including the BDI-6, was satisfactory (c-statistics 0.88-0.92 for depression within the past 2 weeks and 0.80-0.83 within the past 12 months) and slightly better for men (0.92-0.96 and 0.85-0.87) than for women (0.86-0.88 and 0.78-0.79). Higher scores in all the scales were associated with more severe depression and more recent depressive episodes. This study suggests that various versions of the BDI and the GHQ-12 are useful in detecting depressive disorders in the General population. Even the 6-item version of the BDI showed acceptable criterion validity, although replication in an independent dataset is needed to confirm its validity.

Ying Liang - One of the best experts on this subject based on the ideXlab platform.

  • the factor structure of the 12 item General Health Questionnaire ghq 12 in young chinese civil servants
    Health and Quality of Life Outcomes, 2016
    Co-Authors: Ying Liang, Lei Wang, Xican Yin
    Abstract:

    Background The 12-item General Health Questionnaire (GHQ-12) is a commonly used screening instrument for measuring mental disorders. However, few studies have measured the mental Health of Chinese professionals or explored the factor structure of the GHQ-12 through investigations of young Chinese civil servants.

  • the factor structure of the 12 item General Health Questionnaire ghq 12 in young chinese civil servants
    Health and Quality of Life Outcomes, 2016
    Co-Authors: Ying Liang, Lei Wang, Xican Yin
    Abstract:

    The 12-item General Health Questionnaire (GHQ-12) is a commonly used screening instrument for measuring mental disorders. However, few studies have measured the mental Health of Chinese professionals or explored the factor structure of the GHQ-12 through investigations of young Chinese civil servants. This study analyses the factor structure of the GHQ-12 on young Chinese civil servants. Respondents include 1051 participants from six cities in eastern China. Exploratory Factor Analysis (EFA) is used to identify the potential factor structure of the GHQ-12. Confirmatory Factor Analysis (CFA) models of previous studies are referred to for model fitting. The results indicate the GHQ-12 has very good reliability and validity. All ten CFA models are well fitted with the actual data. All the ten models are feasible and fit the data equally well. The Chinese version of the GHQ-12 is suitable for professional groups and can serve as a screening tool to detect anxiety and psychiatric disorders.