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Epidemiological Profile of Mental Health Program Patients in Amazon Health Unit | OMICS International| Abstract
ISSN: 2161-1165

Epidemiology: Open Access
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  • Research Article   
  • Epidemiol,
  • DOI: 10.4172/2161-1165.1000379

Epidemiological Profile of Mental Health Program Patients in Amazon Health Unit

Amanda MR1, Elisa MNB1, Juliana MMDO1, Francisco ITRJ2, Andrew MM1 and Vanessa NB3*
1Department of Epidemiology, State University of Para, Para, Brazil
2Department of Medicine, Federal University of Para, Para, Brazil
3Department of Epidemiology, Federal University of Para, Para, Brazil
*Corresponding Author : Vanessa NB, Department of Epidemiology, Federal University of Para, Para, Brazil, Tel: 559199265747, Email: barros.novaes@hotmail.com

Received Date: Nov 06, 2019 / Accepted Date: Jul 15, 2020 / Published Date: Jul 22, 2020

Abstract

Aim: To verify the epidemiological profile of patients enrolled in the Mental Health Program at a Family Health Unit, as well as the most prevalent disorders, age and comorbidities.

Methods: After analyzing the medical records, the following variables were obtained: diagnosis of mental health status, gender, age group, associated comorbidities and medication in use.

Results: There was a prevalence of 61.3% in women and 38.7% in men; patients aged 30 to 39 years were the most affected (22.6%); the most common disorders were epilepsy (36%), depression (14%), anxiety disorder (8.6%) and schizophrenia (8.6%); the most common comorbidities were systemic arterial hypertension (30%) and insomnia (15%) and the most commonly used psychotropic drugs were amitriptyline, carbamazepine and phenobarbital (10.2% each).

Conclusion: There was a high prevalence of associated comorbidities and greater involvement of men aged 30 to 39 years.

Keywords: Mental health; Mental disorders; Comorbidity; Epidemiology; Prevalence, Primary health care

Citation: Amanda MR, Elisa MNB, Juliana MMDO, Francisco ITRJ, Andrew MM, et al. (2020) Epidemiological Profile of Mental Health Program Patients in Amazon Health Unit. Epidemiol Sci 10: 379. Doi: 10.4172/2161-1165.1000379

Copyright: © 2020 Amanda MR, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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