Prevalence of self-reported lifetime medical diagnosis of depression in Brazil : analysis of data from the 2019 Brazilian National Health Survey

Detalhes bibliográficos
Autor(a) principal: Mattiello, Rita
Data de Publicação: 2022
Outros Autores: Ayala, Camila Ospina, Pedron, Flaviana Freitas, Ferreira, Isabel Cristina Schütz, Ley, Laura Lessa Gaudie, Paungartner, Luciana Medeiros, Martins, Maiara da Silva, Bagatini, Maria Amélia, Batista, Naycka Onofre Witt, Cecagno, Priscila Oliveira Machado, Moura, Sara Kvitko de, López Tórrez, Sergio, Munhoz, Tiago Neuenfeld, Santos, Iná da Silva dos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/253161
Resumo: Objectives: To assess the prevalence of and factors associated with the lifetime medical diagnosis of depression in Brazil. Design: Population-based, cross-sectional study. Setting: Analysis of data from the 2019 Brazilian National Health Survey. Participants: 90 846 individuals aged ≥15 years were included. Outcome measure: The self-reported medical diagnosis of depression at some point in one’s life was the main outcome. Prevalence ratios (PRs) with 95% CIs were calculated by Poisson regression with robust variance. The independent variables included the geographical area of residence, sociodemographic characteristics, current smoking status, alcohol abuse, daily screen time, and the presence of physical disorders and mental health comorbidities. Results: The self-reported lifetime prevalence of medical diagnosis of depression was 9.9% (95% CI 9.5% to 10.2%). The probability of having received a medical diagnosis of depression was higher among urban residents (PR 1.23; 95% CI 1.12 to 1.35); females (2.75; 2.52 to 2.99); those aged 20–29 years (1.17; 0.91 to 1.51), 30–39 years (1.73; 1.36 to 2.19), 40–49 years (2.30; 1.81 to 2.91), 50–59 years (2.32; 1.84 to 2.93) and 60–69 years (2.27; 1.78 to 2.90) compared with those under 20 years; white-skinned people (0.69 (0.61 to 0.78) for black-skinned people and 0.74 (0.69 to 0.80) for indigenous, yellow and brown-skinned people compared with white-skinned people); those with fewer years of education (1.33(1.12 to 1.58) among those with 9–11 years, 1.14 (0.96 to 1.34) among those with 1–8 years and 1.29 (1.11 to 1.50) among those with 0 years compared with those with ≥12 years of education); those who were separated/ divorced (1.43; 1.29 to 1.59), widowed (1.06; 0.95 to 1.19) and single (1.01; 0.93 to 1.10) compared with married people; smokers (1.26; 1.14 to 1.38); heavy screen users (1.31; 1.16 to 1.48) compared with those whose usage was <6 hours/day; those with a medical diagnosis of a physical disorder (1.80; 1.67 to 1.97); and individuals with a medical diagnosis of a mental health comorbidity (5.05; 4.68 to 5.46). Conclusion: This nationwide population-based study of self-reported lifetime medical diagnosis of depression in Brazil showed that the prevalence was almost 10%. Considering the current Brazilian population, this prevalence corresponds to more than 2 million people who have been diagnosed with depression at some point in their lives.
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spelling Mattiello, RitaAyala, Camila OspinaPedron, Flaviana FreitasFerreira, Isabel Cristina SchützLey, Laura Lessa GaudiePaungartner, Luciana MedeirosMartins, Maiara da SilvaBagatini, Maria AméliaBatista, Naycka Onofre WittCecagno, Priscila Oliveira MachadoMoura, Sara Kvitko deLópez Tórrez, SergioMunhoz, Tiago NeuenfeldSantos, Iná da Silva dos2022-12-24T05:05:17Z20222044-6055http://hdl.handle.net/10183/253161001156736Objectives: To assess the prevalence of and factors associated with the lifetime medical diagnosis of depression in Brazil. Design: Population-based, cross-sectional study. Setting: Analysis of data from the 2019 Brazilian National Health Survey. Participants: 90 846 individuals aged ≥15 years were included. Outcome measure: The self-reported medical diagnosis of depression at some point in one’s life was the main outcome. Prevalence ratios (PRs) with 95% CIs were calculated by Poisson regression with robust variance. The independent variables included the geographical area of residence, sociodemographic characteristics, current smoking status, alcohol abuse, daily screen time, and the presence of physical disorders and mental health comorbidities. Results: The self-reported lifetime prevalence of medical diagnosis of depression was 9.9% (95% CI 9.5% to 10.2%). The probability of having received a medical diagnosis of depression was higher among urban residents (PR 1.23; 95% CI 1.12 to 1.35); females (2.75; 2.52 to 2.99); those aged 20–29 years (1.17; 0.91 to 1.51), 30–39 years (1.73; 1.36 to 2.19), 40–49 years (2.30; 1.81 to 2.91), 50–59 years (2.32; 1.84 to 2.93) and 60–69 years (2.27; 1.78 to 2.90) compared with those under 20 years; white-skinned people (0.69 (0.61 to 0.78) for black-skinned people and 0.74 (0.69 to 0.80) for indigenous, yellow and brown-skinned people compared with white-skinned people); those with fewer years of education (1.33(1.12 to 1.58) among those with 9–11 years, 1.14 (0.96 to 1.34) among those with 1–8 years and 1.29 (1.11 to 1.50) among those with 0 years compared with those with ≥12 years of education); those who were separated/ divorced (1.43; 1.29 to 1.59), widowed (1.06; 0.95 to 1.19) and single (1.01; 0.93 to 1.10) compared with married people; smokers (1.26; 1.14 to 1.38); heavy screen users (1.31; 1.16 to 1.48) compared with those whose usage was <6 hours/day; those with a medical diagnosis of a physical disorder (1.80; 1.67 to 1.97); and individuals with a medical diagnosis of a mental health comorbidity (5.05; 4.68 to 5.46). Conclusion: This nationwide population-based study of self-reported lifetime medical diagnosis of depression in Brazil showed that the prevalence was almost 10%. Considering the current Brazilian population, this prevalence corresponds to more than 2 million people who have been diagnosed with depression at some point in their lives.application/pdfengBMJ open. [London]. Vol. 12, no. 12 (2022), e063902, 12 p.DepressãoPrevalênciaBrasilPrevalence of self-reported lifetime medical diagnosis of depression in Brazil : analysis of data from the 2019 Brazilian National Health SurveyEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001156736.pdf.txt001156736.pdf.txtExtracted Texttext/plain57698http://www.lume.ufrgs.br/bitstream/10183/253161/2/001156736.pdf.txtd505a57790b78bb8b4f51269fd76c016MD52ORIGINAL001156736.pdfTexto completo (inglês)application/pdf476336http://www.lume.ufrgs.br/bitstream/10183/253161/1/001156736.pdfbafc3709ab0c5dfaaca444a7622c0ca0MD5110183/2531612024-01-31 06:00:07.996009oai:www.lume.ufrgs.br:10183/253161Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2024-01-31T08:00:07Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Prevalence of self-reported lifetime medical diagnosis of depression in Brazil : analysis of data from the 2019 Brazilian National Health Survey
title Prevalence of self-reported lifetime medical diagnosis of depression in Brazil : analysis of data from the 2019 Brazilian National Health Survey
spellingShingle Prevalence of self-reported lifetime medical diagnosis of depression in Brazil : analysis of data from the 2019 Brazilian National Health Survey
Mattiello, Rita
Depressão
Prevalência
Brasil
title_short Prevalence of self-reported lifetime medical diagnosis of depression in Brazil : analysis of data from the 2019 Brazilian National Health Survey
title_full Prevalence of self-reported lifetime medical diagnosis of depression in Brazil : analysis of data from the 2019 Brazilian National Health Survey
title_fullStr Prevalence of self-reported lifetime medical diagnosis of depression in Brazil : analysis of data from the 2019 Brazilian National Health Survey
title_full_unstemmed Prevalence of self-reported lifetime medical diagnosis of depression in Brazil : analysis of data from the 2019 Brazilian National Health Survey
title_sort Prevalence of self-reported lifetime medical diagnosis of depression in Brazil : analysis of data from the 2019 Brazilian National Health Survey
author Mattiello, Rita
author_facet Mattiello, Rita
Ayala, Camila Ospina
Pedron, Flaviana Freitas
Ferreira, Isabel Cristina Schütz
Ley, Laura Lessa Gaudie
Paungartner, Luciana Medeiros
Martins, Maiara da Silva
Bagatini, Maria Amélia
Batista, Naycka Onofre Witt
Cecagno, Priscila Oliveira Machado
Moura, Sara Kvitko de
López Tórrez, Sergio
Munhoz, Tiago Neuenfeld
Santos, Iná da Silva dos
author_role author
author2 Ayala, Camila Ospina
Pedron, Flaviana Freitas
Ferreira, Isabel Cristina Schütz
Ley, Laura Lessa Gaudie
Paungartner, Luciana Medeiros
Martins, Maiara da Silva
Bagatini, Maria Amélia
Batista, Naycka Onofre Witt
Cecagno, Priscila Oliveira Machado
Moura, Sara Kvitko de
López Tórrez, Sergio
Munhoz, Tiago Neuenfeld
Santos, Iná da Silva dos
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Mattiello, Rita
Ayala, Camila Ospina
Pedron, Flaviana Freitas
Ferreira, Isabel Cristina Schütz
Ley, Laura Lessa Gaudie
Paungartner, Luciana Medeiros
Martins, Maiara da Silva
Bagatini, Maria Amélia
Batista, Naycka Onofre Witt
Cecagno, Priscila Oliveira Machado
Moura, Sara Kvitko de
López Tórrez, Sergio
Munhoz, Tiago Neuenfeld
Santos, Iná da Silva dos
dc.subject.por.fl_str_mv Depressão
Prevalência
Brasil
topic Depressão
Prevalência
Brasil
description Objectives: To assess the prevalence of and factors associated with the lifetime medical diagnosis of depression in Brazil. Design: Population-based, cross-sectional study. Setting: Analysis of data from the 2019 Brazilian National Health Survey. Participants: 90 846 individuals aged ≥15 years were included. Outcome measure: The self-reported medical diagnosis of depression at some point in one’s life was the main outcome. Prevalence ratios (PRs) with 95% CIs were calculated by Poisson regression with robust variance. The independent variables included the geographical area of residence, sociodemographic characteristics, current smoking status, alcohol abuse, daily screen time, and the presence of physical disorders and mental health comorbidities. Results: The self-reported lifetime prevalence of medical diagnosis of depression was 9.9% (95% CI 9.5% to 10.2%). The probability of having received a medical diagnosis of depression was higher among urban residents (PR 1.23; 95% CI 1.12 to 1.35); females (2.75; 2.52 to 2.99); those aged 20–29 years (1.17; 0.91 to 1.51), 30–39 years (1.73; 1.36 to 2.19), 40–49 years (2.30; 1.81 to 2.91), 50–59 years (2.32; 1.84 to 2.93) and 60–69 years (2.27; 1.78 to 2.90) compared with those under 20 years; white-skinned people (0.69 (0.61 to 0.78) for black-skinned people and 0.74 (0.69 to 0.80) for indigenous, yellow and brown-skinned people compared with white-skinned people); those with fewer years of education (1.33(1.12 to 1.58) among those with 9–11 years, 1.14 (0.96 to 1.34) among those with 1–8 years and 1.29 (1.11 to 1.50) among those with 0 years compared with those with ≥12 years of education); those who were separated/ divorced (1.43; 1.29 to 1.59), widowed (1.06; 0.95 to 1.19) and single (1.01; 0.93 to 1.10) compared with married people; smokers (1.26; 1.14 to 1.38); heavy screen users (1.31; 1.16 to 1.48) compared with those whose usage was <6 hours/day; those with a medical diagnosis of a physical disorder (1.80; 1.67 to 1.97); and individuals with a medical diagnosis of a mental health comorbidity (5.05; 4.68 to 5.46). Conclusion: This nationwide population-based study of self-reported lifetime medical diagnosis of depression in Brazil showed that the prevalence was almost 10%. Considering the current Brazilian population, this prevalence corresponds to more than 2 million people who have been diagnosed with depression at some point in their lives.
publishDate 2022
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dc.relation.ispartof.pt_BR.fl_str_mv BMJ open. [London]. Vol. 12, no. 12 (2022), e063902, 12 p.
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