| Title |
The factor structure of the 12-item general health questionnaire (GHQ-12) in young Chinese civil servants
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, September 2016
|
| DOI | 10.1186/s12955-016-0539-y |
| Pubmed ID | |
| 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. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 173 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 25 | 14% |
| Student > Ph. D. Student | 22 | 13% |
| Student > Postgraduate | 15 | 9% |
| Student > Bachelor | 13 | 8% |
| Researcher | 13 | 8% |
| Other | 25 | 14% |
| Unknown | 60 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 32 | 18% |
| Medicine and Dentistry | 29 | 17% |
| Social Sciences | 11 | 6% |
| Nursing and Health Professions | 10 | 6% |
| Business, Management and Accounting | 6 | 3% |
| Other | 19 | 11% |
| Unknown | 66 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 September 2016.
All research outputs
#18,472,072
of 22,889,074 outputs
Outputs from Health and Quality of Life Outcomes
#1,671
of 2,160 outputs
Outputs of similar age
#245,215
of 322,700 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#29
of 38 outputs
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