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.

Background: One of the side effects of cancer treatment is a low level of physical activity (PA) due to fatigue and pain. Aim: To quantify PA levels in Chilean people with cancer. Material and Methods: Analysis of the National Health Survey 2016-2017 including 6,233 participants, comparing those with and without a self-report of cancer was conducted. Levels of PA and sitting time were assessed using the Global Physical Activity Questionnaire. Results: 3% of participants [confidence intervals (CI): 2.6; 3.9] reported having cancer and 34% [95% CI: 22.7; 46.7] of these reported being physically inactive, compared to 25% [95% CI: 22.5; 27,3] of those without cancer. Participants with cancer performed 56 and 77 minutes/day lower vigorous and total PA than participants without cancer. No differences between groups were observed for commuting PA, moderate PA and sedentary time. Lower level of PA was independent of the years elapsed since the diagnosis of cancer. Conclusions: People with cancer are less physically active than their counterparts without the disease.

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.

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.

Background: Although cardiovascular risk factors are associated with an impaired cognitive function, the impact of diabetes on cognitive function in Chilean adults is unknown. Aim: To investigate the association of diabetes or family history of the disease with cognitive impairment in older adults. Materials and Methods: Data from the 2009-2010 Chilean National Health Survey including 1,384 participants aged ≥ 60 years were included in this study. A score below 13 points for the Mini Mental State Examination (MMSE) was considered an indication of cognitive impairment. Logistic regression analyses were performed to assess the association between MMSE, diabetes and family history of the disease. Results: Cognitive impairment increased with age (Odds ratio (OR): 1.83 [95% confidence intervals (CI): 1.53; 2.19], p < 0.01, per 5 years increment in age). This trend was greater in individuals with diabetes (OR: 2.37 [95% CI: 1.68; 3.35], p < 0.01) compared to those without the disease. A similar trend was identified among individuals with a family history of diabetes compared to those without. Conclusions: Older adults with diabetes are more susceptible to develop cognitive impairment.

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.

Background: A higher educational level is associated with healthier lifestyles. Aim: To assess the association between the level of compliance with physical activity recommendations and years of formal education in Chilean adults. Material and Methods: Analysis include 6,174 participants from the National Health Survey 2016-2017. Physical activity levels were assessed through the Global Physical Questionnaire (GPAQ v2). Physical inactivity was defined as < 600 MET/minute/week. Results: Among subjects without education, 44% and 27% of women and men respectively, were physically inactive. Among women and men with the highest number of years of education (> 16) the figures for physical inactivity were 27% and 15% respectively. The odds for not meeting the physical activity recommendations was 2.3 [95% confidence intervals (CI): 1.57; 3.38] and 3.9 [95% CI: 2.27; 6.95] in women and men without any formal education respectively, as compared with those who reported 12 years of education. Women and men who reported a high level of education ≥ (16 years) did not show significant differences compared to the reference group. Conclusions: People with low levels of education are were likely to be physically inactive.

Introduction: The objective of this study was to investigate levels of self-reported active commuting by socio-demographics factors in Chile. Methods: This cross-sectional study was conducted in 5,157 participants (women: 59.3%, age range 15–101 years) from the Chilean National Health Survey (CNHS) 2009–2010. The Global Physical Activity Questionnaire (GPAQ v2) was utilised to measure frequency and time spent in active commuting (walking or cycling). In addition, age, sex, education, place of residence, income and occupation were used as socio-demographics factors of interest. Results: 31.9% [95% Confidence Interval (CI): 29.7; 34.2] of the population reported not doing any form of active commuting, this prevalence was higher in women than men (34.0% vs. 29.7%), in older (≥65y) than younger individuals (≤24y) (44.1% vs. 24.4%), in individuals with lower education compared to higher education (38.4% vs. 28.2) and in retired individuals than in those who were employed (46.0% vs. 31.2%). Being a non-active commuter was associated with a higher prevalence of physical inactivity (OR: 11.1 [95% CI: 8.27; 14.8], p < 0.0001). Similar findings were observed when analyses were stratified by socio-demographics factors. Conclusions: Our findings show that prevalence and levels of active commuting differ by sociodemographic factors. In addition, our results provide evidence that commuting physical activity is an important domain that contribute to achieving the physical activity guidelines. Individuals who do not engage in active commuting presented a higher prevalence of physical inactivity.

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.