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Characterization of Antidepressant Consumption in a Portuguese Inland Population
Sofia Soares1,2, Tiago Rosado1,2,3, Vítor Hugo Santos1,4
1RISE-Health, Departamento de Ciências Médicas, Faculdade de Ciências da Saúde, Universidade da Beira Interior, Avenida Infante D. Henrique, 6200-506 Covilhã, Portugal.
This study of 142 patients in Portugal found that older women on multiple antidepressants experienced more adverse effects. This highlights risks of polypharmacy and the need for personalized mental health treatment.
Area of Science:
- Psychiatry
- Clinical Pharmacy
- Epidemiology
Background:
- Mental disorders, particularly depression, are a growing global health concern.
- Portugal has high antidepressant consumption, with a threefold increase from 2000-2020.
- Limited healthcare access in regions like Beira Interior complicates patient care.
Purpose of the Study:
- To characterize the demographic and clinical profile of 142 patients undergoing antidepressant therapy in Beira Interior.
- To assess associations between antidepressant use and adverse effects in this population.
Main Methods:
- A cross-sectional survey collected data on demographics, diagnoses, medications, and adverse effects.
- Descriptive and inferential statistical analyses were employed.
Main Results:
- The study population was predominantly female (81.0%) with a mean age of 57.8 years, most diagnosed with major depression (76.1%).
- Selective serotonin reuptuptake inhibitors and trazodone were most prescribed; polypharmacy with benzodiazepines and antipsychotics was common.
- Anticholinergic symptoms and confusion/agitation were frequent adverse effects, with increased risks noted for women and older patients using specific antidepressant classes and multiple medications.
Conclusions:
- Polypharmacy and adverse drug reactions pose significant risks in antidepressant therapy.
- Individualized prescribing, close monitoring, and adherence to guidelines are crucial for optimizing patient outcomes.
- Further longitudinal research is needed to establish causality and refine treatment strategies.
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