Research Outputs
Association of leisure time and occupational physical activity with obesity and cardiovascular risk factors in Chile
The aim of this study was to investigate the association between physical activity (PA), both occupational (OPA) and during leisure time (LTPA), with obesity and cardiovascular risk factors in Chilean adults. 5,157 participants from the Chilean National Health Survey 2009–2010 were included in this study. OPA and LTPA levels were assessed using the Global Physical Activity Questionnaire. The association between both PA with obesity and cardiovascular risk factors was determined using logistic regression. Our findings showed a significant trend between higher LTPA and lower odds for obesity (OR 0.64 [95% CI: 0.53; 0.76], central obesity 0.52 [0.44; 0.61]) and other cardiovascular risk factors including diabetes (OR: 0.72 [0.55; 0.94]), hypertension (OR: 0.59 [0.50; 0.71]) and metabolic syndrome (OR: 0.62 [0.50; 0.78]). In contrast, OPA was only associated with lower odds of diabetes (OR: 0.79 [0.65; 0.98]) and hypertension (0.85 [0.74; 0.98]). In conclusion, LTPA was associated with a lower risk of all major cardiovascular risk factors, whereas OPA was only associated with a lower risk of diabetes and hypertension.
Patterns of healthy lifestyle behaviours in older adults: Findings from the Chilean National Health Survey 2009–2010
The purpose of this study was to investigate healthy lifestyle behaviours across age categories in the older population in Chile. Data from 1390 older adults (≥60 years), in the 2009–2010 Chilean National Health Survey were analyzed. We derived the following age categories: 60–65, 66–70, 71–75, 76–80 and >80 years. The associations between age and compliance with healthy lifestyle behaviours (smoking, sitting time, physical activity, sleep duration and intake of salt, alcohol, fruit and vegetables) were investigated using logistic regression. The probability of meeting the guidelines for alcohol intake (OR trend: 1.35 [95% CI: 1.11; 1.64], p = 0.001) and smoking (OR trend: 1.23 [95% CI: 1.13; 1.33], p < 0.0001) increased with age, whereas spending <4 h per day sitting time or engaging in at least 150 min of physical activity per week or sleep on average between 7 and 9 h per day were less likely to be met with increasing age (OR trend: 0.77 [95% CI: 0.71; 0.83], p < 0.000; OR trend: 0.73 [95% CI: 0.67; 0.79], p < 0.0001, and OR trend: 0.89 [95% CI: 0.82; 0.96], p = 0.002, respectively). No significant trend across age categories was observed for fruit and vegetables, and salt intake. The probability of meeting at least 3 out of 7 healthy lifestyle behaviours across the age categories was also lower in older age categories compared to those aged 60 to 65 years. Overall, in older adults the probability of having the healthy lifestyle behaviours of physical activity, sitting time and sleeping behaviours was low but not for smoking or alcohol consumption. With an increasingly ageing population, these findings could inform stakeholders on which lifestyle behaviours could be targeted in the older adults and therefore which interventions should take place to promote healthy ageing.
Comparación entre el auto-reporte de actividad física y la medición con acelerómetro según factores sociodemográficos
Introducción: La determinación del nivel de actividad física (AF) puede realizarse a través de acelerómetro o mediante cuestionario de auto-reporte. El objetivo de este estudio fue comparar los niveles de AF entre un cuestionario de auto-reporte y la medición con acelerómetro de movimiento según factores sociodemográficos en la población chilena. Métodos: Estudio de corte transversal que incluyó a 230 adultos chilenos participantes del proyecto Genes, Ambiente, Diabetes y Obesidad (GENADIO). Niveles de AF fueron medidos mediante el cuestionario Internacional Physical Activity Questionnaire (IPAQ) y acelerómetro de movimiento (ActiGraph). Resultados: IPAQ subestimó los niveles de AF total en comparación a la medición con acelerómetro (delta [IPAQ-Acel.]= -55,7 min/día). Según nivel educacional, se evidenció que el cuestionario IPAQ sobreestimó los niveles de AF total en personas con bajo nivel educacional (delta [IPAQ-Acel.]= 70,4 min/día), pero subestimó la AF total en personas con enseñanza media o técnico universitaria (delta [IPAQ-Acel.]= -67,9 y -135,6 min/día, respectivamente). Resultados similares fueron observados para los distintos niveles de ingreso socioeconómico (NSE). Conclusión: El cuestionario de auto-reporte IPAQ subestimó los niveles de AF total en comparación a la medición por acelerómetro; sin embargo, estas diferencias variaron según factores sociodemográficos.
No cumplir con las recomendaciones de actividad física se asocia a mayores niveles de obesidad, diabetes, hipertensión y síndrome metabólico en población chilena
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.
Association between physical activity and income levels in chilean adults
Background: The Chilean population reports high levels of physical inactivity. The relationship between income level, physical activity (PA) and sedentary behaviors is not well known. Aim: To describe the levels of PA and sedentary time, according to income levels in the Chilean population. Material and Methods: Analysis of data from the Chilean National Health Survey 2016-2017, which included 5,130 participants (52.9% women). The levels of PA and sedentary time were measured by the Global Physical Activity Questionnaire. Income levels were established according to the self-reported income per capita of the households and presented as quintiles. PA levels according to income levels were estimated by linear regression analyses. Results: Transport-related PA was higher in the lowest income quintiles (p = 0.039). There were no trends for income levels and PA domains including moderate, vigorous, total, occupational and leisure PA. The prevalence of leisure and occupational physical inactivities were higher in the lowest quintiles of income. Sitting time was higher in the higher income levels (p < 0.01). Conclusions: People in the lowest quintile for income spent more time in transport-related PA and less time sitting. However, physical inactivity prevalence during leisure and work time were higher in people with lower income.
Association of self-reported walking speed with markers of adiposity and cardiovascular risk in Chile
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.
Caracterización de los patrones de actividad física en distintos grupos etarios chilenos
Antecedentes: las recomendaciones internacionales fomentan la realización de al menos 150 minutos de actividad física (AF) moderada/vigorosa o 75 minutos de AF vigorosa semanalmente; sin embargo, se desconoce cuál es el porcentaje de cumplimiento de estas recomendaciones en los distintos grupos etarios chilenos. Objetivo: caracterizar los patrones de AF según grupos etarios y sexo en población chilena. Métodos: fueron incluidos 5.293 participantes de la Encuesta Nacional de Salud (ENS) 2009-2010. Se determinaron los niveles de AF (de transporte, moderada y vigorosa) y el tiempo sedentario a través del cuestionario GPAQ V2. El tiempo total destinado a los diferentes tipos de AF y el tiempo sedentario entre las diferentes categorías de edad fueron analizados según sexo mediante regresión lineal. Resultados: en comparación con el grupo < 20 años, la AF de transporte muestra una disminución a partir de los 60 años en ambos sexos. En ambos sexos, la AF de intensidad moderada alcanzó su nivel más alto entre los 40-49 años, pero posterior a esta edad se observó una pronunciada disminución. La AF vigorosa alcanzó su nivel más alto entre los 30-39 años para mujeres y 40-49 años para hombres. Finalmente, el tiempo sedente se incrementó a partir de los 60 años, alcanzando su nivel más alto en ≥ 80 años en ambos sexos. Conclusión: los patrones de AF en población chilena se modifican con la edad y su intensidad varía por sexo. Estos resultados podrían orientar el desarrollo de políticas y programas que promuevan la realización de AF, especialmente en edades donde se observan los niveles más bajos.
Comparación de los niveles de actividad física medidos con cuestionario de autorreporte (IPAQ) con medición de acelerometría según estado nutricional
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.