Relación entre la actividad física y parámetros hemodinámicos en adultos / Relationship between physical activity and hemodynamic parameters in adults

Objetivo: Analizar la relación entre la actividad física, medida con acelerómetro, con índices de aumento central y periférico, y el grosor intima media (GIM) de carótida en adultos. Métodos: Se analizó a 263 pacientes incluidos en el estudio EVIDENT. La actividad física se evaluó con el acelerómetro Actigraph GT3X (counts/min) durante 7 días. La ecografía carotídea se utilizó para medir el grosor de íntima media de la carótida. El Sistema Sphygmo Cor se utilizó para medir el índice de aumento central y periférico (CAIx y PAIx). Resultados: Edad media 55,85 ± 12,21 años; 59,30% mujeres, índice de masa corporal 26,7 y presión arterial 120/77 mmHg. La actividad física media fue 244,37 counts/min. La media de tiempo dedicado a la actividad vigorosa o muy vigorosa fue 2,63 ± 10,26 min/día. Se observó una correlación inversa entre la actividad física y el PAIx (r = -0,179; p < 0,01), y entre el tiempo dedicado a la actividad vigorosa o muy vigorosa con el GIM (r = -0,174; p < 0,01), el CAIx (r = -0,217; p < 0,01) y el PAIx (r = -0,324; p < 0,01). Después de ajustar por diferentes factores de confusión, en el análisis de regresión múltiple se mantiene la asociación entre CAIx y la actividad física evaluada tanto con counts/min (p < 0,01) como con el tiempo dedicado a la actividad vigorosa o muy vigorosa (p < 0,01). Conclusiones: Los resultados indican que tanto la actividad física como el tiempo dedicado a la actividad vigorosa o muy vigorosa se asocian con el índice de aumento central en adultos

Objectives: To analyze the relationship between physical activity, as assessed by accelerometer, with central and peripheral augmentation index and carotid intima media thickness (IMT) in adults. Methods: This study analyzed 263 subjects who were included in the EVIDENT study. Physical activity was assessed during 7 days using the ActigraphGT3X accelerometer (counts/min). Carotid ultrasound was used to measure carotid IMT. The Sphygmo Cor System was used to measure central and peripheral augmentation index (CAIx and PAIx). Results: Mean age 55.85 ± 12 years; 59.30% female; 26.7 body mass index and blood pressure 120/77 mmHg. Mean physician activity counts/min was 244.37 and 2.63 ± 10.26 min/day of vigorous or very vigorous activity. Physical activity showed an inverse correlation with PAIx (r = -0.179; P<.01) and vigorous activity day time with IMT(r = -0.174; P<.01), CAIx (r = -0.217; P<.01) and PAIx (r =-0.324; P<.01). After adjusting for confounding factors in the multiple regression analysis, the inverse association of CAIx with counts/min and the time spent in vigorous/very vigorous activity was maintained. Conclusion: The results suggest that both physical activity and time spent in vigorous or vigorous activity are associated with the central augmentation index in adults

Glycemic index, glycemic load, and pulse wave reflection in adults.

BACKGROUND AND AIMS: Diets with a high glycemic index (GI), high glycemic load (GL), or both, increase the risk of cardiovascular disease. This study examined the association of GI and GL in a regular diet with the peripheral augmentation index (i.e., a marker of vascular aging) in a sample of adults. METHODS AND RESULTS: Cross-sectional study. The findings presented in this manuscript are a subanalysis of the EVIDENT study whose purpose was to analyze the relationship between lifestyle and arterial aging. For the sample population, 1553 individuals aged 20-80 years were selected through random sampling from the patients of general practitioners at six health centers in Spain. GI and GL for each patient's diet were calculated from a previously validated, semi-quantitative, 137-item food frequency questionnaire. The peripheral augmentation index corrected for a heart rate of 75 bpm (PAIx75) was measured with pulse-wave application software (A-Pulse CASP). Based on a risk factor adjusted regression model, for every 5 unit increase in GI, the PAIx75 increased by 0.11 units (95% CI: 0.04-0.19). Similarly, for every increase in 10 units in GL, the PAIx75 increased by 1.13 (95% CI: 0.21-2.05). High PAIx75 values were observed in individuals with diets in the third GI tertile (i.e., the highest), and lower PAIx75 values in those with diets in the first tertile (i.e., the lowest), (93.1 vs. 87.5, respectively, p = 0.001). CONCLUSIONS: GI and GL were directly associated with PAIx75 values in adults without cardiovascular diseases regardless of age, gender, physical activity, and other confounders.

El aumento de la velocidad de la onda de pulso no se asocia con la elevación de la presión arterial central en hipertensos con enfermedad renal / The increase in the speed of the pulse wave is not hypertensive patients with kidney disease

Objetivo: Analizar la relación entre la velocidad de la onda de pulso (VOP) y la presión arterial central valorada con el índice de aumento (IA) en personas hipertensas con enfermedad renal. Métodos: Se incluyeron 406 hipertensos con función renal normal y 72 con enfermedad renal. La rigidez arterial se estimó con la VOP y con el IA. Se siguieron los criterios de la Guía Europea de Hipertensión de 2007para valorar la existencia o no de enfermedad renal. Resultados: La VOP fue 8,98 ± 2,15 y 10,17 ± 3,01 m/s (p <0,05) y el IA 30,06 ± 12,46% y 30,23 ± 12,56% (p >0,05)en hipertensos con función renal normal y con enfermedad renal, respectivamente. El análisis de regresión múltiple reveló la función renal como determinante importante de VOP, pero no del IA. Conclusión: En hipertensos con enfermedad renal la VOP está aumentada, pero no el IA. Consideramos que el IA no es una medida fiable de la rigidez arterial en hipertensos con enfermedad renal (AU)

Objective: To analyze the relationship between pulse wave velocity (PWV) and central blood pressure evaluated by augmentation index (AIx) in hypertensive patients with kidney disease. Methods: 406 hypertensive patients with normal renal function and 72 with kidney disease. Arterial stiffness was estimated with the PWV and the AIx. We followed the 2007 European Guidelines of Hypertension criteria to assess the presence or absence of kidney disease. Results: PWV was 8.98 ±2.15 and 10.17 ± 3.01 m/s (p <0.05) and AIx 30.06% ± 12.46and 30.23% ± 12.56 (p >0.05) in hypertensive patients with normal renal function and kidney disease, respectively. Multiple regression analysis showed the renal function as an important determinant of PWV, but not AIx. Conclusion: In hypertensive patients with renal disease PWV is increased, but not the AIx. We believe that the AIx is not a reliable measure of arterial stiffness in hypertensive patients with kidney disease (AU)