Introdução: Doenças cardiovasculares constituem um grupo de doenças crônicas não transmissíveis de grande relevância para a saúde. Hipertensão Arterial Sistêmica (HAS) é uma enfermidade sem causa específica definida e a busca os fatores de risco constituem um desafio para a saúde pública, onde sua identificação tem o potencial de orientar o desenvolvimento de medidas de controle e tratamento. Objetivo: Sistematizar a produção científica nacional sobre fatores associados à HAS na população adulta do Brasil. Materiais e Método: Trata-se de uma pesquisa bibliográfica, do tipo revisão integrativa de literatura que teve como fonte de dados artigos em língua portuguesa indexados na Biblioteca Virtual de Saúde (BVS). Resultados: Foram identificados e analisados 05 artigos do período de 2016 a 2020. Nesses estudos foram fatores de risco associados à hipertensão arterial na população adulta: sexo, idade, escolaridade e etnia, sobrepeso/obesidade, diabetes mellitus e intolerância à glicose, dislipidemia, tabagismo/etilismo/ sedentarismo e consumo excessivo de sal. A obesidade e o sedentarismo foram fatores associados à HAS em todos os estudos. Conclusão: A análise dos fatores associados demonstram a importância da ampliação das discussões entre os gestores e demais membros das equipes de saúde, para que se impulsione o desenvolvimento dos Programas e Políticas Públicas através de ações de promoção da saúde e prevenção de doenças, contemplando as singularidades dos sujeitos e da realidade local ao qual estão inseridos.
Background Coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 strain, was first identified in late 2019 in China. The outcomes of patients affected by the virus can worsen, developing acute respiratory failure and other serious complications, especially in older individuals and people with obesity and comorbidities. Thus, obese patients tend to have a more severe course of COVID-19. Thus, this review aims to synthesize the evidence in the literature that associates COVID-19 and the severity of clinical outcomes in infected obese patients. Methods This protocol was designed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols Statement. Scientific and gray literature will be systematically selected from PubMed/MEDLINE, Latin American Literature in Health Sciences, Online Scientific Electronic Library, Scopus, ScienceDirect, Web of Science, Embase, and Cochrane. The selection of articles will be limited to studies published in English, Portuguese, and Spanish from December 2019 onwards. The main clinical outcomes will be clinical severity in obese patients with COVID-19 as tachypnea (respiratory rate, ≥ 30 breaths per minute), hypoxemia (oxygen saturation, ≤ 93%), the ratio of the partial pressure of arterial oxygen to fraction of inspired oxygen (< 300), lung infiltrate (> 50% of the lung field involved within 24–48 h), diagnosis of the severe acute respiratory syndrome, need of invasive mechanical ventilation, and mortality. Two reviewers will independently screen all citations, full-text articles, and abstract data. Selection bias will be minimized by excluding studies published before December 2019. Conflicts will be resolved through a third reviewer and consensus-building. Moreover, findings will be reported using narrative synthesis and tabulation of the summaries. Discussion Given the need for early detection of the possible implications and treatment for patients with obesity diagnosed with COVID-19, the scoping review will be useful to capture the state of the current literature, identify the gaps, and make recommendations for future research for directing the conduct and optimization of therapies in these patients by the multiprofessional teams. Systematic review registration Open Science Framework: https://osf.io/xrkec
Background: Coronavirus disease (COVID-19), caused by the SARS-CoV-2 strain, was first identified in late 2019, in China. A greater number of countries were affected in 2020, with a consequent increase in the disease's epidemiological curve. The outcomes of patients affected by the virus can worsen, developing acute respiratory failure and other serious complications, especially when related to older individuals and people of all ages with obesity and comorbidities. Some studies have shown that obese infected with COVID-19 had a high frequency risk of hospitalization in the Intensive Care Unit and the need to use Invasive Mechanical Ventilation, in addition to the association between a higher death rate. Thus, obese patients tend to have a more severe course of COVID-19. In this sense, this review aims to synthesize the evidence in the literature that associates COVID-19 and the severity of clinical outcomes in infected obese patients. Methods: This protocol will include all study articles that can be used as instruments to assess the severity of clinical outcomes in obese patients infected by 2019-nCoV. There will be no time limitation when searching for articles. Studies in any environment or country for inclusion will be considered. Discussion: There are still not enough studies to characterize the evidence and its strength in the severity of clinical outcomes of the disease. Therefore, given the need for early detection of the possible implications and treatment for patients with obesity, the evidence will be useful for directing the conduct and optimization of therapies in these patients by the multiprofessional teams.Scoping review registration: Open Science Framework: https://osf.io/xrkec
Os autoresEste trabalho está licenciado com uma Licença Creative Commons -Atribuição-NãoComercial-SemDerivações 4.0 Internacional.O conteúdo abordado nos artigos, seus dados em sua forma, correção e confiabilidade são de responsabilidade exclusiva dos autores.
Background: Coronavirus disease (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2 strain, was first identified in late 2019 in China. The outcomes of patients affected by the virus can worsen, developing acute respiratory failure and other serious complications, especially in older individuals and people with obesity and comorbidities. Thus, obese patients tend to have a more severe course of COVID-19. Thus, this review aims to synthesize the evidence in the literature that associates COVID-19 and the severity of clinical outcomes in infected obese patients. Methods: This protocol was designed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols Statement. Scientific and gray literature will be systematically selected from PubMed/MEDLINE, Latin American Literature in Health Sciences, Online Scientific Electronic Library, Scopus, ScienceDirect, Web of Science, Embase, and Cochrane. The selection of articles will be limited to studies published in English, Portuguese, and Spanish from December 2019 onwards. The main clinical outcomes will be clinical severity in obese patients with COVID-19 as tachypnea (respiratory rate, ≥30 breaths per minute), hypoxemia (oxygen saturation, ≤93%), the ratio of the partial pressure of arterial oxygen to fraction of inspired oxygen, <300), lung infiltrate (>50% of the lung field involved within 24–48 h), diagnosis of the severe acute respiratory syndrome, need of invasive mechanical ventilation, and mortality. Two reviewers will independently screen all citations, full-text articles, and abstract data. Selection bias will be minimized by excluding studies published before December 2019. Conflicts will be resolved through a third reviewer and consensus-building. Moreover, findings will be reported using narrative synthesis and tabulation of the summaries. Discussion: Given the need for early detection of the possible implications and treatment for patients with obesity diagnosed with COVID-19, the scoping review will be useful to capture the state of the current literature, identify the gaps, and make recommendations for future research for directing the conduct and optimization of therapies in these patients by the multiprofessional teams.Scoping review registration: Open Science Framework: https://osf.io/xrkec
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