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Can the 12-item General Health Questionnaire be used to measure positive mental health?

机译:可以使用12个项目的“一般健康问卷”来衡量积极的心理健康吗?

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Background. Well-being is an important determinant of health and social outcomes. Measures of positive mental health states are needed for population-based research. The 12-item General Health Questionnaire (GHQ-12) has been widely used in many settings and languages, and includes positively and negatively worded items. Our aim was to test the hypothesis that the GHQ-12 assesses both positive and negative mental health and that these domains are independent of one another. Method. Exploratory (EFA) and confirmatory (CFA) factor analyses were conducted using data from the British Household Panel Survey (BHPS) and the Health Survey for England (HSE). Regression models were used to assess whether associations with individual and household characteristics varied across positive and negative mental health dimensions. We also explored higher-level variance in these measures, between electoral wards. Results. We found a consistent, replicable factor structure in both datasets. EFA results indicated a two-factor solution, and CFA demonstrated that this was superior to a one-factor model. These factors correspond to 'symptoms of mental disorder' and 'positive mental health'. Further analyses demonstrated independence of these factors in associations with age, gender, employment status, poor housing and household composition. Statistically significant ward-level variance was found for symptoms of mental disorder but not positive mental health. Conclusions. The GHQ-12 measures both positive and negative aspects of mental health, and although correlated, these dimensions have some independence. The GHQ-12 could be used to measure positive mental health in population-based research.
机译:背景。幸福是健康和社会成果的重要决定因素。基于人群的研究需要对积极的心理健康状况进行测量。包含12个项目的“一般健康调查表”(GHQ-12)已在许多环境和语言中得到广泛使用,并包括带有正面和负面字样的项目。我们的目的是检验GHQ-12评估正面和负面心理健康以及这些领域彼此独立的假设。方法。探索性(EFA)和确认性(CFA)因子分析是使用来自英国家庭面板调查(BHPS)和英国健康调查(HSE)的数据进行的。回归模型用于评估在正面和负面心理健康维度上,具有个人和家庭特征的关联是否不同。我们还探讨了选举区之间这些措施的较高级别差异。结果。我们在两个数据集中都发现了一致的,可复制的因子结构。 EFA结果表明是两因素解决方案,而CFA证明这优于一因素模型。这些因素对应于“精神障碍症状”和“积极精神健康”。进一步的分析表明,这些因素的独立性与年龄,性别,就业状况,住房状况差和家庭构成有关。发现精神障碍的症状具有统计学意义的病房水平差异,但精神健康状况却不明显。结论。 GHQ-12衡量心理健康的积极和消极方面,尽管相互关联,但这些方面具有一定的独立性。 GHQ-12可用于基于人群的研究中对积极心理健康的评估。

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