Key result
A one-point decrease in mean scores on the GHQ-30 is linearly associated with a 6% decrease in the prevalence of psychiatric disorder in a general population over 7 years.
Why the study?
Are changes in the prevalence of psychiatric disorder in a community related to changes in the mean level of psychiatric symptoms longitudinally?
Cohort
Are changes in the prevalence of psychiatric disorder in a community related to changes in the mean level of psychiatric symptoms longitudinally?
Effect estimate: 6% decrease per 1-point decrease
Changes in the prevalence of psychiatric disorder in a population are linearly related to changes in the mean number of psychiatric symptoms over time.
Should not yet change practice; extends cross-sectional data longitudinally but remains hypothesis-generating.
The paper of Anderson et al. (1993), based on cross-sectional data, showed that minor psychiatric disorder in a population is linearly related to the mean number of psychiatric symptoms in the population. The present investigation asks whether the same relationship holds longitudinally as well as cross-sectionally. Data from a 7-year follow-up of a general population sample demonstrate, for the first time, that a relationship exists between changes in prevalence of psychiatric disorder and changes in the mean number of psychiatric symptoms in a given population. Moreover, the relationship is linear; a one-point decrease in mean scores on the GHQ-30 is associated with a 6% decrease in prevalence of disorder.
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Whittington et al. (1996) conducted a cohort in Psychiatric disorder. Mean level of psychiatric symptoms (GHQ-30 score) was evaluated on Changes in prevalence of psychiatric disorder (6% decrease per 1-point decrease). A one-point decrease in mean scores on the GHQ-30 is linearly associated with a 6% decrease in the prevalence of psychiatric disorder in a general population over 7 years.
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