The 30-year cardiovascular risk trajectories and their independently associated factors in participants of a Brazilian cohort (CUME Study)
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cadernos de Saúde Pública |
Texto Completo: | https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8376 |
Resumo: | We aimed to analyze the different trajectories of 30-year cardiovascular risk (CVR) and its independently associated factors in participants of the CUME Study, a prospective study with alumni from federal universities of Minas Gerais State, Brazil. In this study, 1,286 participants who answered the baseline (2016) and follow-up (2018 and 2020) questionnaires were included. Trajectories of CVR, according to the Framingham score, were identified with the latent class growth modelling technique with the use of the censored normal model. Analysis of the factors independently associated with each of the trajectories was conducted with multinomial logistic regression technique. Three CVR trajectories were identified: Low-Low (68.3%), Medium-Medium (26.2%), and High-High (5.5%). Male sex, living in a stable union, and having moderate and high intakes of ultra-processed foods were positively associated with the Medium-Medium and High-High CVR trajectories. Having non-healthcare professional training and working were positively associated with the Medium-Medium CVR trajectory, whereas being physically active was negatively associated with the High-High CVR trajectory. In conclusion, more than one-third of participants had CVR trajectories in the Medium-Medium and High-High categories. Food consumption and physical activity are modifiable factors that were associated with these trajectories; thus, implementing health promotion measures could help prevent the persistence or worsen of CVR. On the other hand, sociodemographic and labor characteristics are non-modifiable factors that were associated with Medium-Medium and High-High trajectories, which could help identify people who should be monitored with more caution by health services. |
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The 30-year cardiovascular risk trajectories and their independently associated factors in participants of a Brazilian cohort (CUME Study)As trajetórias de risco cardiovascular de 30 anos e seus fatores independentemente associados em participantes de uma coorte brasileira (Estudo CUME)As trajetórias de risco cardiovascular de 30 anos e seus fatores independentemente associados em participantes de uma coorte brasileira (Estudo CUME)Fatores de Risco de Doenças Cardíacas; Comportamentos de Risco à Saúde; Framingham Heart Study; Estudos de CoortesFactores de Riesgo de Enfermedad Cardiaca; Conductas de Riesgo para la Salud; Estudio del Corazón de Framingham; Estudios de CohortesHeart Disease Risk Factors; Health Risk Behaviors; Framingham Heart Study; Cohort StudiesWe aimed to analyze the different trajectories of 30-year cardiovascular risk (CVR) and its independently associated factors in participants of the CUME Study, a prospective study with alumni from federal universities of Minas Gerais State, Brazil. In this study, 1,286 participants who answered the baseline (2016) and follow-up (2018 and 2020) questionnaires were included. Trajectories of CVR, according to the Framingham score, were identified with the latent class growth modelling technique with the use of the censored normal model. Analysis of the factors independently associated with each of the trajectories was conducted with multinomial logistic regression technique. Three CVR trajectories were identified: Low-Low (68.3%), Medium-Medium (26.2%), and High-High (5.5%). Male sex, living in a stable union, and having moderate and high intakes of ultra-processed foods were positively associated with the Medium-Medium and High-High CVR trajectories. Having non-healthcare professional training and working were positively associated with the Medium-Medium CVR trajectory, whereas being physically active was negatively associated with the High-High CVR trajectory. In conclusion, more than one-third of participants had CVR trajectories in the Medium-Medium and High-High categories. Food consumption and physical activity are modifiable factors that were associated with these trajectories; thus, implementing health promotion measures could help prevent the persistence or worsen of CVR. On the other hand, sociodemographic and labor characteristics are non-modifiable factors that were associated with Medium-Medium and High-High trajectories, which could help identify people who should be monitored with more caution by health services.We aimed to analyze the different trajectories of 30-year cardiovascular risk (CVR) and its independently associated factors in participants of the CUME Study, a prospective study with alumni from federal universities of Minas Gerais State, Brazil. In this study, 1,286 participants who answered the baseline (2016) and follow-up (2018 and 2020) questionnaires were included. Trajectories of CVR, according to the Framingham score, were identified with the latent class growth modelling technique with the use of the censored normal model. Analysis of the factors independently associated with each of the trajectories was conducted with multinomial logistic regression technique. Three CVR trajectories were identified: Low-Low (68.3%), Medium-Medium (26.2%), and High-High (5.5%). Male sex, living in a stable union, and having moderate and high intakes of ultra-processed foods were positively associated with the Medium-Medium and High-High CVR trajectories. Having non-healthcare professional training and working were positively associated with the Medium-Medium CVR trajectory, whereas being physically active was negatively associated with the High-High CVR trajectory. In conclusion, more than one-third of participants had CVR trajectories in the Medium-Medium and High-High categories. Food consumption and physical activity are modifiable factors that were associated with these trajectories; thus, implementing health promotion measures could help prevent the persistence or worsen of CVR. On the other hand, sociodemographic and labor characteristics are non-modifiable factors that were associated with Medium-Medium and High-High trajectories, which could help identify people who should be monitored with more caution by health services.We aimed to analyze the different trajectories of 30-year cardiovascular risk (CVR) and its independently associated factors in participants of the CUME Study, a prospective study with alumni from federal universities of Minas Gerais State, Brazil. In this study, 1,286 participants who answered the baseline (2016) and follow-up (2018 and 2020) questionnaires were included. Trajectories of CVR, according to the Framingham score, were identified with the latent class growth modelling technique with the use of the censored normal model. Analysis of the factors independently associated with each of the trajectories was conducted with multinomial logistic regression technique. Three CVR trajectories were identified: Low-Low (68.3%), Medium-Medium (26.2%), and High-High (5.5%). Male sex, living in a stable union, and having moderate and high intakes of ultra-processed foods were positively associated with the Medium-Medium and High-High CVR trajectories. Having non-healthcare professional training and working were positively associated with the Medium-Medium CVR trajectory, whereas being physically active was negatively associated with the High-High CVR trajectory. In conclusion, more than one-third of participants had CVR trajectories in the Medium-Medium and High-High categories. Food consumption and physical activity are modifiable factors that were associated with these trajectories; thus, implementing health promotion measures could help prevent the persistence or worsen of CVR. On the other hand, sociodemographic and labor characteristics are non-modifiable factors that were associated with Medium-Medium and High-High trajectories, which could help identify people who should be monitored with more caution by health services.Reports in Public HealthCadernos de Saúde Pública2023-09-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/xmlapplication/pdfhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8376Reports in Public Health; Vol. 39 No. 9 (2023): SeptemberCadernos de Saúde Pública; v. 39 n. 9 (2023): Setembro1678-44640102-311Xreponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZenghttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8376/18694https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8376/18695Copyright (c) 2023 Cadernos de Saúde Públicainfo:eu-repo/semantics/openAccessSoares Passinho, RenataBressan, JosefinaHermana Miranda Hermsdorff, HelenLuiz Pereira de Oliveira, FernandoMarçal Pimenta, Adriano2023-10-16T16:16:21Zoai:ojs.teste-cadernos.ensp.fiocruz.br:article/8376Revistahttps://cadernos.ensp.fiocruz.br/ojs/index.php/csphttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/oaicadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2024-03-06T13:09:33.754363Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)true |
dc.title.none.fl_str_mv |
The 30-year cardiovascular risk trajectories and their independently associated factors in participants of a Brazilian cohort (CUME Study) As trajetórias de risco cardiovascular de 30 anos e seus fatores independentemente associados em participantes de uma coorte brasileira (Estudo CUME) As trajetórias de risco cardiovascular de 30 anos e seus fatores independentemente associados em participantes de uma coorte brasileira (Estudo CUME) |
title |
The 30-year cardiovascular risk trajectories and their independently associated factors in participants of a Brazilian cohort (CUME Study) |
spellingShingle |
The 30-year cardiovascular risk trajectories and their independently associated factors in participants of a Brazilian cohort (CUME Study) Soares Passinho, Renata Fatores de Risco de Doenças Cardíacas; Comportamentos de Risco à Saúde; Framingham Heart Study; Estudos de Coortes Factores de Riesgo de Enfermedad Cardiaca; Conductas de Riesgo para la Salud; Estudio del Corazón de Framingham; Estudios de Cohortes Heart Disease Risk Factors; Health Risk Behaviors; Framingham Heart Study; Cohort Studies |
title_short |
The 30-year cardiovascular risk trajectories and their independently associated factors in participants of a Brazilian cohort (CUME Study) |
title_full |
The 30-year cardiovascular risk trajectories and their independently associated factors in participants of a Brazilian cohort (CUME Study) |
title_fullStr |
The 30-year cardiovascular risk trajectories and their independently associated factors in participants of a Brazilian cohort (CUME Study) |
title_full_unstemmed |
The 30-year cardiovascular risk trajectories and their independently associated factors in participants of a Brazilian cohort (CUME Study) |
title_sort |
The 30-year cardiovascular risk trajectories and their independently associated factors in participants of a Brazilian cohort (CUME Study) |
author |
Soares Passinho, Renata |
author_facet |
Soares Passinho, Renata Bressan, Josefina Hermana Miranda Hermsdorff, Helen Luiz Pereira de Oliveira, Fernando Marçal Pimenta, Adriano |
author_role |
author |
author2 |
Bressan, Josefina Hermana Miranda Hermsdorff, Helen Luiz Pereira de Oliveira, Fernando Marçal Pimenta, Adriano |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Soares Passinho, Renata Bressan, Josefina Hermana Miranda Hermsdorff, Helen Luiz Pereira de Oliveira, Fernando Marçal Pimenta, Adriano |
dc.subject.por.fl_str_mv |
Fatores de Risco de Doenças Cardíacas; Comportamentos de Risco à Saúde; Framingham Heart Study; Estudos de Coortes Factores de Riesgo de Enfermedad Cardiaca; Conductas de Riesgo para la Salud; Estudio del Corazón de Framingham; Estudios de Cohortes Heart Disease Risk Factors; Health Risk Behaviors; Framingham Heart Study; Cohort Studies |
topic |
Fatores de Risco de Doenças Cardíacas; Comportamentos de Risco à Saúde; Framingham Heart Study; Estudos de Coortes Factores de Riesgo de Enfermedad Cardiaca; Conductas de Riesgo para la Salud; Estudio del Corazón de Framingham; Estudios de Cohortes Heart Disease Risk Factors; Health Risk Behaviors; Framingham Heart Study; Cohort Studies |
description |
We aimed to analyze the different trajectories of 30-year cardiovascular risk (CVR) and its independently associated factors in participants of the CUME Study, a prospective study with alumni from federal universities of Minas Gerais State, Brazil. In this study, 1,286 participants who answered the baseline (2016) and follow-up (2018 and 2020) questionnaires were included. Trajectories of CVR, according to the Framingham score, were identified with the latent class growth modelling technique with the use of the censored normal model. Analysis of the factors independently associated with each of the trajectories was conducted with multinomial logistic regression technique. Three CVR trajectories were identified: Low-Low (68.3%), Medium-Medium (26.2%), and High-High (5.5%). Male sex, living in a stable union, and having moderate and high intakes of ultra-processed foods were positively associated with the Medium-Medium and High-High CVR trajectories. Having non-healthcare professional training and working were positively associated with the Medium-Medium CVR trajectory, whereas being physically active was negatively associated with the High-High CVR trajectory. In conclusion, more than one-third of participants had CVR trajectories in the Medium-Medium and High-High categories. Food consumption and physical activity are modifiable factors that were associated with these trajectories; thus, implementing health promotion measures could help prevent the persistence or worsen of CVR. On the other hand, sociodemographic and labor characteristics are non-modifiable factors that were associated with Medium-Medium and High-High trajectories, which could help identify people who should be monitored with more caution by health services. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-09-19 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8376 |
url |
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8376 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8376/18694 https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8376/18695 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Cadernos de Saúde Pública info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Cadernos de Saúde Pública |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/xml application/pdf |
dc.publisher.none.fl_str_mv |
Reports in Public Health Cadernos de Saúde Pública |
publisher.none.fl_str_mv |
Reports in Public Health Cadernos de Saúde Pública |
dc.source.none.fl_str_mv |
Reports in Public Health; Vol. 39 No. 9 (2023): September Cadernos de Saúde Pública; v. 39 n. 9 (2023): Setembro 1678-4464 0102-311X reponame:Cadernos de Saúde Pública instname:Fundação Oswaldo Cruz (FIOCRUZ) instacron:FIOCRUZ |
instname_str |
Fundação Oswaldo Cruz (FIOCRUZ) |
instacron_str |
FIOCRUZ |
institution |
FIOCRUZ |
reponame_str |
Cadernos de Saúde Pública |
collection |
Cadernos de Saúde Pública |
repository.name.fl_str_mv |
Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ) |
repository.mail.fl_str_mv |
cadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br |
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1798943399506608128 |