Abstract Background: Cardiovascular disease is the leading cause of mortality in the world and physical inactivity represents an important risk factor. Objective: This study aimed to evaluate the prevalence of physical inactivity in the adult population and its effects on blood pressure, blood glucose and lipid profile. Methods: A population-based cross-sectional study with stratified simple random sampling was conducted in 1,717 adults divided by age groups: 18-39, 40-49, 50-59, 60-69 and ≥ 70 years. The participants answered the physical activity questionnaire and were classified as physically active or inactive. The bootstrap statistical method was used to assess physical activity, associated with lipid profile and blood glucose levels. The level of significance was 5%. Results: The prevalence of physical inactivity in the general population was 65.8%. There was a significant difference in the group older than 70 years. There was a significant decrease in physical activity in the group with lower educational level, with a significant difference between social classes AB and C. The prevalence of hypertension was 27.5% among physically inactive and 21.4% among active individuals (p = 0.04). The prevalence of metabolic syndrome was 26.1% in inactive and 16.7% in the active individuals (p = 0.007). Total cholesterol, low-density lipoprotein and triglycerides levels were more elevated in the physically inactive group, which was not observed with high-density lipoprotein levels. Blood glucose was also higher in the inactive group. Conclusion: This study shows a high prevalence of physical inactivity and a positive correlation between risk factors for cardiovascular disease, mainly blood pressure, glucose and lipids profiles. (Int J Cardiovasc Sci. 2018; [online].ahead print, PP.0-0)

FUNDAMENTO: A rigidez arterial é uma variável preditora de morbimortalidade e um possível marcador de lesão vascular. Sua avaliação não invasiva por tonometria radial e análise do índice de incremento (r-AI) permite identificar os pacientes expostos a um maior risco cardiovascular. OBJETIVO: Analisar a influência do r-AI em variáveis clínico-bioquímicas e sua influência na prevalência de dano em órgão-alvo em pacientes hipertensos. MÉTODOS: Cento e quarenta pacientes hipertensos consecutivos, em seguimento clínico ambulatorial, foram submetidos à análise transversal. Os níveis de pressão arterial (PA) e o r-AI foram obtidos por tonometria de aplanação da artéria radial (HEM-9000AI, Onrom). Os pacientes foram alocados em tercis r-AI (r-AI < 85%; 85 < r-AI < 97%; r-AI > 97%). RESULTADOS: A amostra era predominantemente composta por mulheres (56,4%), com idade média de 61,7 ± 11,7 anos e índice de massa corporal de 29,6 ± 6,1 Kg/m². O maior tercil apresentou uma proporção maior de mulheres (p = 0,001), maior PA sistólica (p = 0,001) e pressão de pulso (p = 0,014), e menor peso (p = 0,044), altura (p < 0,001) e frequência cardíaca (p < 0,001). A análise multivariada demonstrou que o peso (β = -0,001, p = 0,017), frequência cardíaca (β = -0,001, p = 0,007) e pressão central (β = 0,015, p < 0,001) se correlacionam com o r-AI de maneira independente. Em análises de regressão logística, o 3º tercil r-AI foi associado a uma diminuição do diabete (DM) (OR = 0,41; 95% CI 0,17-0,97; p = 0,042). CONCLUSÃO: Este estudo demonstrou que peso, frequência cardíaca e PA central se relacionam com o r-AI de maneira independente.

BACKGROUND: Arterial stiffness is a variable predictor of morbidity and mortality and a possible marker of vascular injury. Its non-invasive assessment by radial tonometry and analysis of the augmentation index (r-AI) allows identifying patients exposed to higher cardiovascular risk. OBJECTIVE: To analyze the influence of r-AI on clinical-biochemical variables and its influence on the prevalence of target-organ damage in hypertensive patients. METHODS: 140 consecutive hypertensive patients, followed-up in an outpatient clinic, were analyzed in a cross-sectional study. Blood pressure (BP) levels and r-AI were obtained by applanation tonometry of the radial artery (HEM-9000AI, Onrom). The patients were allocated into r-AI tertiles (r-AI < 85%; 85< r-AI < 97%; r-AI > 97%). RESULTS: The sample was predominantly composed of women (56.4%), mean age of 61.7 ± 11.7 years and body mass index 29.6 ± 6.1 Kg/m². The highest tertile showed higher proportion of women (p = 0.001), higher systolic BP (p = 0.001) and pulse pressure (p = 0.014), and lower weight (p = 0.044), height (p < 0.001) and heart rate (p < 0.001). Multivariate analysis demonstrated that weight (β = -0.001, p = 0.017), heart rate (β = -0.001, p = 0.007) and central pressure (β = 0.015, p < 0.001) correlated independently with r-AI. In logistic regression analyses, the 3rd r-AI tertile was associated to lower levels of diabetes (DM) (OR = 0.41; 95% CI 0.17-0.97; p = 0.042). CONCLUSION: This study demonstrated that weight, heart rate and central BP were independently related to r-AI.