Prevalence and Factors Associated with Metabolic Syndrome in Patients at a Psychosocial Care Center: A Cross-Sectional Study
Background: Metabolic syndrome (MS) is associated with greater risk of morbimortality and it has high prevalence in people with mental illness. Objective: Estimate the prevalence of Metabolic Syndrome (MS) and its associated factors in the patients of a Psychosocial Care Center (CAPS in Brazilian Po...
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Published in: | International journal of environmental research and public health Vol. 19; no. 16; p. 10203 |
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Abstract | Background: Metabolic syndrome (MS) is associated with greater risk of morbimortality and it has high prevalence in people with mental illness. Objective: Estimate the prevalence of Metabolic Syndrome (MS) and its associated factors in the patients of a Psychosocial Care Center (CAPS in Brazilian Portuguese) in the city of Salvador, state of Bahia, Brazil. Method: Cross-sectional study set at CAPS in the city of Salvador-Bahia between August 2019 and February 2020. MS was evaluated according to the National Cholesterol Education Program’s Adult Treatment Panel III. In addition to descriptive statistics, gross and adjusted prevalence ratios were described. Results: MS was found in 100 (35.2%) individuals, 116 (40.9%) were obese and 165 (58.1%) had increased waist circumference. Polypharmacy was identified in 63 (22.3%) patients and 243 (85.9%) used antipsychotics. Under gross evaluation, women (PR = 1.88; 95%CI: 1.35–2.63) and those who used antidepressants (PR = 1.41; 95%CI: 1.05–1.88) showed an association with MS. After logistic regression, depression (PR = 1.86; 95%CI: 1.38–2.51), acanthosis (PR = 1.50; 95%CI: 1.18–1.90), use of antipsychotics (PR = 1.88; 95%CI: 1.13–2.75), and hypertriglyceridemic waist (PR = 3.33; 95%CI: 2.48–4.46) were associated with MS. Conclusion: The prevalence of MS signals multimorbidity among individuals with mental disorders and suggests a need for clinical screening. |
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AbstractList | Background: Metabolic syndrome (MS) is associated with greater risk of morbimortality and it has high prevalence in people with mental illness. Objective: Estimate the prevalence of Metabolic Syndrome (MS) and its associated factors in the patients of a Psychosocial Care Center (CAPS in Brazilian Portuguese) in the city of Salvador, state of Bahia, Brazil. Method: Cross-sectional study set at CAPS in the city of Salvador-Bahia between August 2019 and February 2020. MS was evaluated according to the National Cholesterol Education Program’s Adult Treatment Panel III. In addition to descriptive statistics, gross and adjusted prevalence ratios were described. Results: MS was found in 100 (35.2%) individuals, 116 (40.9%) were obese and 165 (58.1%) had increased waist circumference. Polypharmacy was identified in 63 (22.3%) patients and 243 (85.9%) used antipsychotics. Under gross evaluation, women (PR = 1.88; 95%CI: 1.35–2.63) and those who used antidepressants (PR = 1.41; 95%CI: 1.05–1.88) showed an association with MS. After logistic regression, depression (PR = 1.86; 95%CI: 1.38–2.51), acanthosis (PR = 1.50; 95%CI: 1.18–1.90), use of antipsychotics (PR = 1.88; 95%CI: 1.13–2.75), and hypertriglyceridemic waist (PR = 3.33; 95%CI: 2.48–4.46) were associated with MS. Conclusion: The prevalence of MS signals multimorbidity among individuals with mental disorders and suggests a need for clinical screening. BACKGROUNDMetabolic syndrome (MS) is associated with greater risk of morbimortality and it has high prevalence in people with mental illness. OBJECTIVEEstimate the prevalence of Metabolic Syndrome (MS) and its associated factors in the patients of a Psychosocial Care Center (CAPS in Brazilian Portuguese) in the city of Salvador, state of Bahia, Brazil. METHODCross-sectional study set at CAPS in the city of Salvador-Bahia between August 2019 and February 2020. MS was evaluated according to the National Cholesterol Education Program's Adult Treatment Panel III. In addition to descriptive statistics, gross and adjusted prevalence ratios were described. RESULTSMS was found in 100 (35.2%) individuals, 116 (40.9%) were obese and 165 (58.1%) had increased waist circumference. Polypharmacy was identified in 63 (22.3%) patients and 243 (85.9%) used antipsychotics. Under gross evaluation, women (PR = 1.88; 95%CI: 1.35-2.63) and those who used antidepressants (PR = 1.41; 95%CI: 1.05-1.88) showed an association with MS. After logistic regression, depression (PR = 1.86; 95%CI: 1.38-2.51), acanthosis (PR = 1.50; 95%CI: 1.18-1.90), use of antipsychotics (PR = 1.88; 95%CI: 1.13-2.75), and hypertriglyceridemic waist (PR = 3.33; 95%CI: 2.48-4.46) were associated with MS. CONCLUSIONThe prevalence of MS signals multimorbidity among individuals with mental disorders and suggests a need for clinical screening. |
Author | Menezes, Amanda Cardoso Soriano, Eline de Almeida Reis da Silva, Dandara Almeida Fernandes, Sandra Lúcia Magalhães, Lucelia Batista Neves Cunha Pimentel, Rodrigo Fernandes Weyll Rossi, Thais Regis Aranha Brandão, Juliana de Lima Gomes, Helena Ferraz D’Oliveira Júnior, Argemiro das Mercês, Millena Conceição Gomes, Antonio Marcos Tosoli Barbosa, Paulo José Bastos Travassos, Ana Gabriela de Sousa, Anderson Reis das Merces, Magno Conceição Coelho, Julita Maria Freitas França, Luiz Carlos Moraes Maduro, Isolda Prado de Negreiros Nogueira Peres, Ellen Marcia Damasceno, Kairo Silvestre Meneses Correa, Livia Lugarinho dos Santos, Livia Fajin de Mello Brandão, Tatiana Santos Santos, Charles Souza de Almeida, Ludmila Santana de Souza, Marcio Costa Cavalcante Neto, Jorge Lopes Santana, Amália Ivine Costa Viana, Adriana Mattos Cerqueira, Monique Magnavita Borba da Fonseca |
AuthorAffiliation | 12 Associação Brasileira de Nutrologia (ABRAN), Catanduva 15801-150, São Paulo, Brazil 5 Centro Universitário UnidomPedro, Salvador 40010-020, Bahia, Brazil 9 Instituto Federal da Bahia (IFBA), Simões Filho 43700-000, Bahia, Brazil 3 Programa de Pós-Graduação em Ciências da Saúde, Universidade Federal da Bahia (UFBA), Salvador 40026-010, Bahia, Brazil 2 Instituto Estadual de Diabetes e Endocrinologia Luiz Capriglione (IEDE), Rio de Janeiro 22451-000, Rio de Janeiro, Brazil 11 Universidade do Sudoeste da Bahia (UESB), Jequié 45200-000, Bahia, Brazil 4 Hospital Universitário Professor Edgard Santos (HUPES/UFBA), Universidade Federal da Bahia, Salvador 40150-000, Bahia, Brazil 13 Hospital Ana Nery (HAN), Salvador 40301-155, Bahia, Brazil 6 Faculdade de Enfermagem, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro 20551-030, Rio de Janeiro, Brazil 10 Faculdade de Tecnologia e Ciências (UNIFTC), Salvador 41741-590, Bahia, Brazil 8 Escola de Enfermagem, Universidade Federal da Bahia (UFB |
AuthorAffiliation_xml | – name: 6 Faculdade de Enfermagem, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro 20551-030, Rio de Janeiro, Brazil – name: 13 Hospital Ana Nery (HAN), Salvador 40301-155, Bahia, Brazil – name: 2 Instituto Estadual de Diabetes e Endocrinologia Luiz Capriglione (IEDE), Rio de Janeiro 22451-000, Rio de Janeiro, Brazil – name: 9 Instituto Federal da Bahia (IFBA), Simões Filho 43700-000, Bahia, Brazil – name: 11 Universidade do Sudoeste da Bahia (UESB), Jequié 45200-000, Bahia, Brazil – name: 3 Programa de Pós-Graduação em Ciências da Saúde, Universidade Federal da Bahia (UFBA), Salvador 40026-010, Bahia, Brazil – name: 7 Centro Especializado em Diagnóstico, Assistência e Pesquisa (CEDAP), Secretaria de Saúde do Estado da Bahia, Salvador 40100-160, Bahia, Brazil – name: 1 Departamento de Ciências da Vida, Universidade do Estado da Bahia (UNEB), Salvador 41150-000, Bahia, Brazil – name: 8 Escola de Enfermagem, Universidade Federal da Bahia (UFBA), Salvador 40110-060, Bahia, Brazil – name: 4 Hospital Universitário Professor Edgard Santos (HUPES/UFBA), Universidade Federal da Bahia, Salvador 40150-000, Bahia, Brazil – name: 5 Centro Universitário UnidomPedro, Salvador 40010-020, Bahia, Brazil – name: 10 Faculdade de Tecnologia e Ciências (UNIFTC), Salvador 41741-590, Bahia, Brazil – name: 12 Associação Brasileira de Nutrologia (ABRAN), Catanduva 15801-150, São Paulo, Brazil |
Author_xml | – sequence: 1 givenname: Dandara Almeida orcidid: 0000-0001-6091-4080 surname: Reis da Silva fullname: Reis da Silva, Dandara Almeida – sequence: 2 givenname: Ludmila Santana surname: de Almeida fullname: de Almeida, Ludmila Santana – sequence: 3 givenname: Livia Lugarinho surname: Correa fullname: Correa, Livia Lugarinho – sequence: 4 givenname: Rodrigo Fernandes Weyll orcidid: 0000-0003-0101-0190 surname: Pimentel fullname: Pimentel, Rodrigo Fernandes Weyll – sequence: 5 givenname: Antonio Marcos Tosoli surname: Gomes fullname: Gomes, Antonio Marcos Tosoli – sequence: 6 givenname: Ana Gabriela surname: Travassos fullname: Travassos, Ana Gabriela – sequence: 7 givenname: Adriana Mattos surname: Viana fullname: Viana, Adriana Mattos – sequence: 8 givenname: Monique Magnavita Borba da Fonseca surname: Cerqueira fullname: Cerqueira, Monique Magnavita Borba da Fonseca – sequence: 9 givenname: Marcio Costa orcidid: 0000-0002-4922-6786 surname: de Souza fullname: de Souza, Marcio Costa – sequence: 10 givenname: Anderson Reis orcidid: 0000-0001-8534-1960 surname: de Sousa fullname: de Sousa, Anderson Reis – sequence: 11 givenname: Paulo José Bastos surname: Barbosa fullname: Barbosa, Paulo José Bastos – sequence: 12 givenname: Julita Maria Freitas orcidid: 0000-0002-9520-5177 surname: Coelho fullname: Coelho, Julita Maria Freitas – sequence: 13 givenname: Lucelia Batista Neves Cunha surname: Magalhães fullname: Magalhães, Lucelia Batista Neves Cunha – sequence: 14 givenname: Argemiro surname: D’Oliveira Júnior fullname: D’Oliveira Júnior, Argemiro – sequence: 15 givenname: Jorge Lopes surname: Cavalcante Neto fullname: Cavalcante Neto, Jorge Lopes – sequence: 16 givenname: Charles Souza orcidid: 0000-0001-5071-0359 surname: Santos fullname: Santos, Charles Souza – sequence: 17 givenname: Luiz Carlos Moraes orcidid: 0000-0002-6370-115X surname: França fullname: França, Luiz Carlos Moraes – sequence: 18 givenname: Juliana de Lima surname: Brandão fullname: Brandão, Juliana de Lima – sequence: 19 givenname: Livia Fajin de Mello surname: dos Santos fullname: dos Santos, Livia Fajin de Mello – sequence: 20 givenname: Helena Ferraz surname: Gomes fullname: Gomes, Helena Ferraz – sequence: 21 givenname: Ellen Marcia surname: Peres fullname: Peres, Ellen Marcia – sequence: 22 givenname: Thais Regis Aranha surname: Rossi fullname: Rossi, Thais Regis Aranha – sequence: 23 givenname: Kairo Silvestre Meneses surname: Damasceno fullname: Damasceno, Kairo Silvestre Meneses – sequence: 24 givenname: Millena Conceição surname: das Mercês fullname: das Mercês, Millena Conceição – sequence: 25 givenname: Sandra Lúcia surname: Fernandes fullname: Fernandes, Sandra Lúcia – sequence: 26 givenname: Eline de Almeida surname: Soriano fullname: Soriano, Eline de Almeida – sequence: 27 givenname: Isolda Prado de Negreiros Nogueira surname: Maduro fullname: Maduro, Isolda Prado de Negreiros Nogueira – sequence: 28 givenname: Tatiana Santos surname: Brandão fullname: Brandão, Tatiana Santos – sequence: 29 givenname: Amanda Cardoso surname: Menezes fullname: Menezes, Amanda Cardoso – sequence: 30 givenname: Amália Ivine Costa surname: Santana fullname: Santana, Amália Ivine Costa – sequence: 31 givenname: Magno Conceição orcidid: 0000-0003-3493-8606 surname: das Merces fullname: das Merces, Magno Conceição |
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Snippet | Background: Metabolic syndrome (MS) is associated with greater risk of morbimortality and it has high prevalence in people with mental illness. Objective:... BACKGROUNDMetabolic syndrome (MS) is associated with greater risk of morbimortality and it has high prevalence in people with mental illness. OBJECTIVEEstimate... |
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SubjectTerms | Alcohol Antidepressants Antipsychotics Blood pressure Body mass index Cholesterol Cross-sectional studies Diabetes Education Glucose Health care High density lipoprotein Laboratories Medical records Medical research Mental disorders Mental health Metabolic disorders Metabolic syndrome Mortality Obesity Patients Polypharmacy Psychotropic drugs Self report Software Triglycerides Womens health |
Title | Prevalence and Factors Associated with Metabolic Syndrome in Patients at a Psychosocial Care Center: A Cross-Sectional Study |
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