Dr. Garrido-Méndez, Alex

Background: Housewives represent a important proportion of the Chilean population. However, there is limited evidence about their lifestyles. Aim: To characterize lifestyles and determine the level of compliance with healthy lifestyles guidelines of housewives in Chile. Material and Methods: Housewives from the 2009-2010 National Health Survey were included. The variables studied included levels of physical activity (PA), sedentary behavior, diet, hours of sleep and smoking. Compliance with healthy lifestyle behaviors was evaluated through logistic regression, granting a value of 1 for compliance and 0 for non-compliance. A healthy lifestyle was defined as meeting at least four healthy behaviors. Results: Housewives aged > 55 years had a higher BMI and waist circumference compared to those aged < 40 years. Housewives were also more likely to report moderate alcohol consumption and were more likely to meet a healthier lifestyle score (Odds ratio = 1.52 [95% confidence intervals: 1.09 to 2.11], p = 0.013). No significant age trends were observed for other lifestyle behaviors. Conclusions: Housewives had high levels of central obesity, excess body weight and high levels of salt intake but low alcohol intake. Their healthy lifestyles behaviors increased along with increasing age.

Background: Healthy lifestyles are associated with a better metabolic and cardiovascular health profile. Aim: To investigate the association between a lifestyle score and cardiovascular risk in Chilean adults. Material and Methods: A healthy lifestyle score was derived for 2,774 participants in the Chilean National Health Survey 2009-2010 and based on seven modifiable behaviors (salt intake, fruit and vegetable intake, alcohol consumption, sleep duration, smoking, physical activity and sedentary behaviors). A high score represented a healthier lifestyle whereas a low score represents an unhealthy lifestyle. The association between the lifestyle score and cardiovascular risk factors (obesity, hypertension, diabetes, dyslipidemia and metabolic syndrome), was explored using logistic regression models. Results: One quartile increment in the healthy lifestyle score was associated with a lower risk for obesity (Odds ratio (OR): 0.82 [95% confidence intervals (CI): 0.75 to 0.90], p < 0.01), central obesity (OR: 0.88 [95% CI: 0.81 to 0.96], p < 0.01), diabetes (OR: 0.84 [95% CI: 0.75 to 0.95], p < 0.04) and dyslipidemia (OR: 0.90 [95% CI: 0.83 to 0.98], p = 0.01). These results were independent of major confounding factors. Conclusions: The adherence to a healthy lifestyle is associated with lower cardiovascular risk.

La Diabetes Mellitus Tipo 2 (DMT2) es una enfermedad multifactorial que ha incrementado en las últimas cuatro décadas, pasando de 153 millones de personas diabéticas en el mundo en el año 1980 a 382 millones de personas el año 20131,2, estimándose que su prevalencia aumentará a 552 millones para el año 20353. Su desarrollo se relaciona principalmente con el exceso de peso corporal, inactividad física y una alimentación no saludable prolongada4-6. Si bien hay estudios randomizados de intervención de alta calidad, realizados en personas pre-diabéticas que sugieren que el mejorar el estilo de vida (actividad física y alimentación) podría ser efectivo en prevenir o retrasar su aparición7, hasta la fecha no existían estudios de calidad y con un tamaño muestral adecuado que demostrasen que una intervención no farmacológica, es decir, mediante cambios en los estilos de vida orientados a la pérdida de peso corporal, es efectiva en revertir la DMT2 y sus complicaciones, en pacientes que ya estén con tratamiento farmacológico para esta enfermedad.

COVID-19 causes cardiovascular and lung problems that can be aggravated by confinement, but the practice of physical activity (PA) could lessen these effects. The objective of this study was to evaluate the association of maximum oxygen consumption (VO2max) with vaccination and PCR tests in apparently healthy Chilean adults. An observational and cross-sectional study was performed, in which 557 people from south-central Chile participated, who answered an online questionnaire on the control of COVID-19, demographic data, lifestyles, and diagnosis of non-communicable diseases. VO2max was estimated with an abbreviated method. With respect to the unvaccinated, those who received the first (OR:0.52 [CI:0.29;0.95], p = 0.019) and second vaccine (OR:0.33 [CI:0.18;0.59], p = 0.0001) were less likely to have an increased . VO2max. The first vaccine was inversely associ- ated with . VO2max (mL/kg/min) (β:−1.68 [CI:−3.06; −0.3], p = 0.017), adjusted for BMI (β:−1.37 [CI:−2.71; −0.03], p = 0.044) and by demographic variables (β:−1.82 [CI:−3.18; −0.46], p = 0.009); similarly occur for the second vaccine (β: between −2.54 and −3.44, p < 0.001) on models with and without adjustment. Having taken a PCR test was not significantly associated with VO2max (mL/kg/min). It is concluded that vaccination significantly decreased . VO2max, although it did not indicate cause and effect. There is little evidence of this interaction, although the results suggest an association, since V O2max could prevent and attenuate the contagion symptoms and effects.

Background: Physical inactivity is an important cardiovascular risk factor. Aim: To investigate the association of physical inactivity with obesity, metabolic markers, type 2 diabetes mellitus, hypertension and metabolic syndrome in Chilean adults. Material and Methods: Participants from the National Health Survey 2009-10 (n = 5,157) were included in this study. Body mass index, waist circumference, metabolic markers (blood glucose, glycosylated hemoglobin and lipid profile) were the outcomes. Type 2 diabetes, hypertension and metabolic syndrome were determined using international criteria. Physical activity levels were determined using the Global Physical Activity Questionnaire and physical inactivity was defined as < 600 METs/minutes/week. Results: Compared to their physically active peers, inactive men and women had a higher odds ratio (OR) for obesity (OR: 1.77 [95% confidence intervals (CI): 1.29-2.42], p < 0.01 and 1.25 [95% CI: 102-1.54], p < 0.035, respectively), diabetes (OR: 2.47 [1.80-3.38], p < 0.01 and 1.72 [1.35-2.19], p = 0.002, respectively) and hypertension (OR: 1.66 [1.31-2.09], p < 0.01 and 1.83 [1.54-2.18] respectively. An association of physical inactivity with central obesity and metabolic syndrome was observed only in men (OR: 1.92 [1.42- 2.58], p < 0.01 and 1.74 [1.23-2.47], p < 0.01, respectively). Conclusions: Not meeting the physical activity recommendations is associated with obesity, diabetes, hypertension and metabolic syndrome, which are important cardiovascular risk factors.

A pesar de que la actividad física (AF) es un factor protector contra las enfermedades crónicas no transmisibles, un gran porcentaje de la población no cumple los niveles mínimos recomendados. El objetivo fue investigar como varían los niveles de práctica de AF entre los diferentes grupos etarios en la población chilena. Se incluyeron 5.133 participantes de la Encuesta Nacional de Salud 2009-2010. La AF fue determinada utilizando el cuestionario GPAQ. La inactividad física fue definida como <600 MET/min/ semana de AF moderada a vigorosa. La asociación entre AF y edad fue investigada por sexo mediante regresión logística. Las mujeres presentaron una mayor probabilidad de ser físicamente inactivas en comparación a los hombres (p<0,0001). Al analizar la prevalencia de inactividad física por sexo y grupo etario, esta cambió ligeramente entre los 20 a 59 años, pero a partir de los 60 se observó un incremento importante en la prevalencia llegando a 63% y 56% para mujeres y hombres >80 años, respectivamente. Los resultados obtenidos confirman la necesidad de seguir fomentando la práctica regular de AF física a través de todo el ciclo vital, pero en especial sobre los 60 años, ya que este grupo presenta una mayor probabilidad de ser físicamente inactivo.

Background: It is unknown if nutritional status could influence the accuracy of self-reported physical activity (PA) levels. Aim: To compare PA measured using the international physical activity questionnaire (IPAQ) and by accelerometry (ActiGraph) according to nutritional status in Chilean adults. Material and Methods: This is an observational cross-sectional study that used information from the GENADIO project carried out in Chile between 2009-2011. The sample consisted of 322 people. PA levels and sitting time were determined through the IPAQ self-report questionnaire and ActiGraph accelerometers (GTM1). The nutritional status was determined according to body mass index (BMI). Results: Compared with the measurement made with accelerometry, the IPAQ self-report questionnaire underestimated the levels of light PA, total PA and sedentary time in -171.5, -54.8 and -40.6 min / day, respectively. However, IPAQ overestimated the levels of moderate PA and vigorous PA in 91.0 and 47.3 min/day respectively, compared with accelerometry. Compared with normal weight, obese subjects reported higher levels of moderate PA (105.5 and 48.9 min/day, respectively) and vigorous PA (54.1 and 38.3 min/day respectively). Total PA had a greater delta of underestimation between IPAQ and accelerometer measurements in normal weight than in obese subjects (-122.1 vs -16.5 min/day, respectively). Conclusions: The measurement of PA by means of a self-report questionnaire was discrepant with its objective measurement with an accelerometer. The discrepancy is even higher in obese people.

La práctica regular de actividad física (AF) se asocia a un número importante de beneficios sobre la salud, incluyendo la reducción de enfermedades cardiovasculares, diabetes mellitus tipo 2, hipertensión arterial, depresión, demencia y algunos tipos de cáncer, como de colon y mamas (Figura 1). Se estima que el 9% de mortalidad prematura por cualquier causa (equivalente a 5.3 millones de muertes por año), se podrían prevenir si la población cumpliera con las recomendaciones de AF, es decir, realizara al menos 150 minutos de AF de intensidad moderada o >75 minutos de AF de intensidad vigorosa por semana.

Background: Walking speed is a strong predictor of non-communicable diseases and mortality. Aim: To investigate the association of self-reported walking pace with adiposity, metabolic and cardiovascular markers in the Chilean population. Material and Methods: Analysis of data from 5,077 participants of the 2009-2010 National Health Survey (ENS 2009-2010). Walking speed was self-reported as average or slow pace. Body mass index (BMI), waist circumference (WC), blood pressure, blood glucose, glycosylated hemoglobin and lipid profile were the outcome. Results: In Chile, 11% (95% confidence intervals [CI]: 10.0; 12.7) of the population reported a slow walking pace. Compared with average walking people, those reporting a slow pace had a higher body weight (difference (∆) 5.65 kg [95% CI: 3.22; 8.09], p < 0.01), BMI (D 2.48 kg/m 2 [95% CI: 1.53; 3.44], p < 0.01), WC (D 6.23 cm [95% CI: 4.12; 8.34], p < 0.01), serum triglycerides (D 30,9 mg/dl [95% CI: 5,31; 57,5], p = 0.018), and lower HDL cholesterol (D -2.32 mg/dl [95% CI: -4,24; -0,34], p = 0.022). Those reporting a slow pace had also a higher odd of being obese (odds ratio (OR): 2.46 [95% CI: 1.82; 3.33], p < 0.01), being diabetic (OR: 1.54 [95% CI: 1.02; 2.40], p = 0.018) and having metabolic syndrome (OR: 2.03 [95% CI: 1.30; 3.18], p = 0.002). Conclusions: In Chilean adults, slow walking pace is associated with and unfavorable adiposity and lipid profile, including a higher probability of being obese, diabetic and having metabolic syndrome.

La obesidad es un importante factor de riesgo cardiovascular. No obstante, no todas las personas obesas tienen un perfil metabólico alterado ni todas las personas normo-peso poseen un perfil metabólico normal. Objetivo: determinar la prevalencia de diferentes fenotipos metabólicos asocia-dos al estado nutricional en Chile. Métodos: se incluyeron 1.733 participantes de la Encuesta Nacional de Salud 2009-2010. El estado nutricional (obesidad o normo-peso) fue determinado a través del IMC mientras que la condición metabólica (saludable o no) en base a cuatro parámetros: glicemia, presión arterial, colesterol HDL y triglicéridos. Con estos parámetros de determinaron 4 fenotipos, entre ellos, MUNO: metabólicamente no saludable no obeso y MHO: obeso metabólicamente saludable. Resultados: La prevalencia de MHO fue de 3,3% mientras que un 17,4% presentaba MUNO. Adicionalmente, la prevalencia de MHO disminuyó en la medida que aumentó la edad y la mayor proporción de individuos metabólicamente saludables se encontraba en el grupo de altos ingresos y con un nivel educacional superior (técnico-universitario). Conclusión: Se evidencia una baja prevalencia de MHO, así como también una alta prevalencia de individuos MUNO en la población chilena. Futuras acciones preventivas deberían no sólo considerar el estado nutricional sino también la condición metabólica de la población.