Socio-economic inequalities in first-time use of antidepressants: a population-based study

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OBJECTIVE: To analyse whether first-time use of antidepressants (incidence) and selection of TCAs (tricyclic antidepressants) versus new-generation drugs are associated with socio-economic status and psychiatric history.

METHOD: We conducted a population-based cohort study using registry data covering Funen County, Denmark. A total of 305,953 adult residents without antidepressant prescriptions 5 years prior to the study period (1998) were included.

RESULTS: The 1-year incidence rate of antidepressant prescription (1.7%) increased with age. It was higher in people who were female, less educated, unemployed, those receiving old-age or disability pension, low-income groups, and singles. The proportion prescribed new-generation antidepressants (82%) showed no difference according to socio-economic variables (education, annual income and socio-economic group), but was higher among the young and single. Admission to psychiatric hospital within 4 years prior to the study period was associated with high-incidence rate of antidepressant prescription and overall a preference for the new-generation antidepressants.

CONCLUSION: Socio-economic status did not seem to influence the selection of TCAs versus new-generation antidepressants. Compatible with the general epidemiology of depression, low socio-economic status was associated with a high number of first-time users of antidepressants in the population, and the incidence rate increased with age.

Original languageEnglish
JournalEuropean Journal of Clinical Pharmacology
Volume60
Issue number1
Pages (from-to)51-5
Number of pages5
ISSN0031-6970
DOIs
Publication statusPublished - Mar 2004

    Research areas

  • Adolescent, Adult, Aged, Antidepressive Agents/therapeutic use, Cohort Studies, Denmark, Drug Prescriptions/statistics & numerical data, Female, Humans, Male, Mental Disorders, Middle Aged, Monoamine Oxidase Inhibitors/therapeutic use, Pharmacoepidemiology/methods, Socioeconomic Factors, Time Factors

ID: 324177611