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São Paulo med. j ; 141(1): 78-86, Jan.-Feb. 2023. graf
Artigo em Inglês | LILACS-Express | LILACS | ID: biblio-1424654

RESUMO

Abstract BACKGROUND: Severe acute respiratory syndrome coronavirus 2 has several mechanisms of action related to inflammatory responses, especially in individuals diagnosed with obesity. This hyperinflammatory clinical profile resulting from the association between obesity and coronavirus disease 2019 (COVID-19) may be attenuated by regular physical activity. OBJECTIVE: The aim of this study was to review the evidence on the consequences of physical inactivity and physical activity on COVID-19 in patients with obesity. DESIGN AND SETTING: Narrative review at the Bahiana School of Medicine and Public Health in Salvador, Brazil. METHODS: We searched evidence on the association of COVID-19 with physical activity and obesity using the following keywords: "covid-19," "physical activity," and "obesity". The databases used were MEDLINE (PubMed), ScienceDirect, and Virtual Health Library. Studies published from 2019 to 2021 and available in Portuguese, English, and Spanish were included. The final search was conducted on September 26, 2021. RESULTS: We identified 661 studies in the database, among which 71 were considered for inclusion in the narrative review of the molecular aspects of COVID-19 and its relationship with physical activity and obesity. CONCLUSION: This literature review enabled the perception of the relationship between the molecular mechanisms of COVID-19 and obesity. Regular physical activity had various benefits for the inflammatory condition of the studied population, highlighting moderate-intensity.

2.
Arq. bras. cardiol ; 120(7): e20220728, 2023. tab, graf
Artigo em Português | LILACS-Express | LILACS | ID: biblio-1447309

RESUMO

Resumo Fundamento A hipertensão arterial sistêmica (HAS) é uma doença multifatorial, altamente prevalente e associada a riscos à saúde. Objetivo O objetivo deste estudo foi investigar a associação entre HAS e marcadores laboratoriais, antropométricos, de variabilidade da frequência cardíaca (VFC) e de apneia obstrutiva do sono e, em segundo plano, analisar a sensibilidade e especificidade das variáveis que são fatores independentes na associação. Métodos Estudo transversal com 95 pacientes obesos atendidos em um ambulatório de referência em obesidade em Salvador, BA, Brasil. Os dados da HAS foram obtidos dos prontuários eletrônicos. A amostra foi estratificada em Grupo Normotenso (GN) e Grupo Hipertenso (GH), sendo medidos marcadores laboratoriais, composição corporal, polissonografia e VFC para avaliar a associação da HAS com as variáveis preditoras. Para as análises, adotou-se p<0,05. Resultados A média da idade do GN foi de 36,3 ± 10,1 e GH 40,4 ± 10,6 anos, 73,7% eram mulheres no GN e 57,9% no GH; 82,4% no GH apresentavam resistência à insulina. No modelo de regressão logística multivariado com ajustes para idade, sexo, altura e saturação de oxi-hemoglobina, a HAS foi inversamente associada à glicose plasmática em jejum mg/dL (odds ratio [OR] = 0,96; intervalo de confiança de 95% [IC] = 0,92-0,99) e área de gordura visceral (AGV) cm2 (OR = 0,98; IC 95% = 0,97-0,99). A área sob a curva AGV foi de 0,728; IC 95% (0,620-0,836) e glicemia de jejum 0,693; IC 95% (0,582-0,804). Conclusão Menores concentrações de AGV e glicemia de jejum foram inversamente associadas à HAS. Além disso, tanto a glicemia de jejum quanto o AGV mostraram alta sensibilidade para triagem de HAS.


Abstract Background Systemic arterial hypertension (SAH) is a multifactorial disease, highly prevalent and associated with health risks. Objective The purpose of this study was to investigate the association between SAH and laboratory, anthropometric, heart rate variability (HRV), and obstructive sleep apnea markers and, secondarily, to analyze the sensitivity and specificity of the variables that are independent factors in the association. Methods Cross-sectional study with 95 obese patients treated at an obesity referral clinic in Salvador, BA, Brazil. SAH data were obtained from electronic medical records. The sample was stratified in the Normotensive Group (NG) and the Hypertensive Group (HG), and laboratory markers, body composition, polysomnography, and HRV were measured to evaluate the association of SAH with the predictor variables. For the analysis, p<0.05 was adopted. Results The average age of the NG was 36.3 ± 10.1 and HG 40.4 ± 10.6 years; 73.7% were women in the NG and 57.9% in HG; 82.4% in HG had insulin resistance. In the multivarious logistics regression model with adjustments in age, sex, height, and oxyhemoglobin saturation, SAH was inversely associated with fasting plasma glucose mg/dL (odds ratio [OR] = 0.96; 95% confidence interval [CI] = 0.92-0.99) and visceral fat area (VFA) cm2(OR = 0.98; 95% CI = 0.97-0.99). The area under the VFA curve was 0.728; CI 95% (0.620-0.836); fasting plasma glucose 0.693;CI 95% (0.582-0.804). Conclusions Lower VFA and fasting plasma glucose concentrations were inversely associated with SAH. In addition, fasting plasma glucose and VFA showed a high sensitivity for SAH screening.

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