Abstract

Scores on five subscales derived from the GHQ-30 have been examined in various groups at risk for psychiatric disorder, to determine whether different patterns of symptoms are found. The subscales are based on a factor analysis of a population sample of over 6,000 adults (Huppert et al. 1989) which identified five robust factors corresponding to symptoms of anxiety, feelings of incompetence, depression, difficulty in coping and social dysfunction. Previous studies have identified certain groups of people who are vulnerable to mental illness and are therefore likely to obtain a high score on the GHQ. These include unemployed men, single women with dependent children, and elderly people in poor health. The results show marked differences in symptom patterns among these three at-risk groups. For example, while scores on anxiety and depression subscales were significantly raised in most at-risk groups, young unemployed men did not show significant anxiety whereas elderly men in poor health did not show significant depressive symptoms. However both these groups showed difficulty in coping, unlike older unemployed men or elderly women in poor health. Single women with dependent children reported the highest rate of psychiatric symptoms, particularly anxiety and depression, but had difficulty in coping only if they were also employed. These findings suggest that this method of analysing data from the GHQ-30 has potential value in yielding qualitative as well as quantitative information about psychiatric symptoms.

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