Ana María Leiva

Socio-demographic patterns of physical activity and sedentary behaviour in Chile: results from the National Health Survey 2009–2010

BACKGROUND Surveillance of physical activity (PA) is essential for the development of health promotion initiatives. The aim of the present study was to examine the prevalence of PA and sedentary behaviour with respect to socio-demographic factors in Chile. METHODS A representative sample of 5434 adults aged ≥15 years (59% women) who participated in the Chilean National Health Survey (2009-2010) were included. Socio-demographic data (age, sex, environment, education level, income level and smoking status) were collected for all participants. PA levels were assessed using the Global Physical Activity Questionnaire. RESULTS 19.8% [95% CI: 18.1-21.6] of the Chilean population did not meet PA recommendations (≥600 MET min week(-1)). The prevalence of physical inactivity was higher in participants aged ≥65 years, compared with the youngest age groups and was higher in women than in men. However, it was lower for participants with high, compared with low, education or income levels. The overall prevalence of sedentary risk behaviour (spending >4 h sitting per day) was 35.9% [95% CI: 33.7-38.2]. CONCLUSION Physical inactivity correlates strongly with socio-demographic factors such as age, gender and educational level. Results identify social and economic groups to which future public health interventions should be aimed to increase PA in the Chilean population.

Higher levels of self-reported sitting time is associated with higher risk of type 2 diabetes independent of physical activity in Chile

Background Sitting behaviours have increased markedly during the last two decades in Chile. However, their associations with health outcomes such as diabetes have not been reported. Therefore, the aim of this study was to investigate the independent association of self-reported sitting time with diabetes-related markers and diabetes prevalence in Chile. Methods This cross-sectional study included participants (aged ≥18 years) from the Chilean National Health Survey 2009-10 (n = 4457). Fasting glucose and haemoglobin A1c (HbA1c) were measured by standardized protocols. The prevalence of type 2 diabetes (T2D) was determined using WHO criteria. Physical activity (PA) and time spent sitting were determined using the Global Physical Activity Questionnaire (GPAQ). Results The odds ratio for T2D was 1.10 [95% CI: 1.04-1.16, P = 0.002] and 1.08 [1.02-1.14, P = 0.002] per 1 h increase in sitting time in men and women, respectively, independent of age, education, smoking, BMI and total PA. Overall, prevalence of T2D was 10.2 and 17.2% in individuals classified in the lowest and highest categories of sitting time, respectively. No significant associations were found between sitting time and glucose or HbA1c. Conclusions Sitting time is positively associated with diabetes risk, independent of socio-demographic, obesity and PA levels, in the Chilean population.

Un mayor nivel de actividad física se asocia a una menor prevalencia de factores de riesgo cardiovascular en Chile: resultados de la Encuesta Nacional de Salud 2009-2010

BACKGROUND Little is known about the relationship between physical activity (PA) and cardiovascular risk factors in the Chilean population. AIM To investigate the association between different levels and intensities of PA and the prevalence of cardiovascular (CV) risk factors in Chilean adults. MATERIAL AND METHODS Data from the National Health Survey 2009-10 including 5157 participants, provided by the Epidemiology Department of the Ministry of Health, was analyzed in this study. The prevalence of type 2 diabetes mellitus, hypertension, metabolic syndrome and dyslipidemia were determined using international criteria. PA levels were determined using the Global Physical Activity Questionnaire (GPAQ v2) and different levels of PA were derived from it (transport-related, moderate and vigorous PA). Quartiles of PA were determined to investigate the association between PA and cardiovascular risk factors. RESULTS Twenty three percent of women and 17.1% of men did not meet the PA recommendation (≥ 600 METs.min.week-1). When prevalence of CV risk factors were compared between inactive individuals (< 600 METs.min.week-1) and active individuals (≥ 9500 METs.min.week-1) a significantly lower prevalence of diabetes mellitus (6.2% and 10%), hypertension (18.0% and 12.4%) and metabolic syndrome (8.9% and 12.1%) for women and men, respectively, was found in the active participants. Similar results were found for high versus low transport-related PA. CONCLUSIONS Increasing levels of PA are associated with a significantly lower frequency of cardiovascular risk factors in Chilean adults.

Active commuting is associated with a lower risk of obesity, diabetes and metabolic syndrome in Chilean adults

Background There is limited evidence on how active commuting is associated with health benefits in developing countries. The aim of this study therefore was to investigate the associations between active commuting and markers of adiposity and cardiometabolic risk in the Chilean adult population. Methods In total, 5157 participants from the Chilean National Health Survey 2009-10 were included in this cross-sectional study. Active commuting was measured using the Global Physical Activity Questionnaire (GPAQ v2). Body mass index (BMI) and waist circumference (WC) were measured and used to define obesity and central obesity. Type 2 diabetes (T2D) and metabolic syndrome were determined using WHO and updated ATPIII-NCEP criteria, respectively. Results The main finding of this study is that a 30 min increase in active commuting is associated with lower odds for BMI > 25.0 kg m-2 (0.93 [95% CI: 0.88-0.98, P = 0.010]). Similarly, the odds for central obesity was 0.87 [0.82-0.92, P < 0.0001]. Similar associations were found for T2D (0.81 [0.75-0.88], P < 0.0001) and metabolic syndrome (OR: 0.86 [0.80-0.92], P < 0.0001). Conclusion Our findings show that active commuting is associated with lower adiposity and a healthier metabolic profile including lower risk for obesity, diabetes and metabolic syndrome.

El sedentarismo se asocia a un incremento de factores de riesgo cardiovascular y metabólicos independiente de los niveles de actividad física

Background: Sedentary behavior is a main risk factor for cardiovascular disease and mortality. Aim: To investigate the association between sedentary behavior and metabolic and cardiovascular risk factors. Material and methods: We assessed 322 participants aged between 18 to 65 years. Physical activity and sedentary behavior were measured with accelerometers (Actigraph®). Body mass index (BMI), waist circumference, percentage of body fat, diet and blood markers (glucose, lipid profile, insulin and HOMA-IR) were measured with standardized protocols. Results: Thirty four percent of participants were physically inactive and spent on average 8.7 h/day on sedentary activities. Per one hour increase in sedentary behavior there were significant adverse changes in glucose (4.79 mg/dl), insulin (2.73 pmol/l), HOMA-IR (0.75), BMI (0.69 kg/m2), waist circumference (1.95 cm), fat mass (1.03 %), total cholesterol (9.73 mg/dl), HDL-cholesterol (-3.50 mg/dl), LDL-cholesterol (10.7 mg/dl) and triglycerides (12.4 mg/dl). These findings were independent of main confounding factors including total physical activity, dietary factors, BMI and socio-demographics. Conclusions: The detrimental effect of sedentary behaviors on cardiometabolic and obesity-related traits is independent of physical activity levels. Therefore, reducing sedentary time should be targeted in the population apart from increasing their physical activity levels.BACKGROUND Sedentary behavior is a main risk factor for cardiovascular disease and mortality. AIM To investigate the association between sedentary behavior and metabolic and cardiovascular risk factors. MATERIAL AND METHODS We assessed 322 participants aged between 18 to 65 years. Physical activity and sedentary behavior were measured with accelerometers (Actigraph®). Body mass index (BMI), waist circumference, percentage of body fat, diet and blood markers (glucose, lipid profile, insulin and HOMA-IR) were measured with standardized protocols. RESULTS Thirty four percent of participants were physically inactive and spent on average 8.7 h/day on sedentary activities. Per one hour increase in sedentary behavior there were significant adverse changes in glucose (4.79 mg/dl), insulin (2.73 pmol/l), HOMA-IR (0.75), BMI (0.69 kg/m²), waist circumference (1.95 cm), fat mass (1.03%), total cholesterol (9.73 mg/dl), HDL-cholesterol (-3.50 mg/dl), LDL-cholesterol (10.7 mg/dl) and triglycerides (12.4 mg/dl). These findings were independent of main confounding factors including total physical activity, dietary factors, BMI and socio-demographics. CONCLUSIONS The detrimental effect of sedentary behaviors on cardiometabolic and obesity-related traits is independent of physical activity levels. Therefore, reducing sedentary time should be targeted in the population apart from increasing their physical activity levels.

Un mayor nivel de actividad física se asocia a una menor prevalencia de factores de riesgo cardiovascular en Chile: resultados de la Encuesta Nacional de Salud 2009-2010 = Higher physical activity levels are associated with lower prevalence of cardiovascular risk factors in Chile

BACKGROUND Little is known about the relationship between physical activity (PA) and cardiovascular risk factors in the Chilean population. AIM To investigate the association between different levels and intensities of PA and the prevalence of cardiovascular (CV) risk factors in Chilean adults. MATERIAL AND METHODS Data from the National Health Survey 2009-10 including 5157 participants, provided by the Epidemiology Department of the Ministry of Health, was analyzed in this study. The prevalence of type 2 diabetes mellitus, hypertension, metabolic syndrome and dyslipidemia were determined using international criteria. PA levels were determined using the Global Physical Activity Questionnaire (GPAQ v2) and different levels of PA were derived from it (transport-related, moderate and vigorous PA). Quartiles of PA were determined to investigate the association between PA and cardiovascular risk factors. RESULTS Twenty three percent of women and 17.1% of men did not meet the PA recommendation (≥ 600 METs.min.week-1). When prevalence of CV risk factors were compared between inactive individuals (< 600 METs.min.week-1) and active individuals (≥ 9500 METs.min.week-1) a significantly lower prevalence of diabetes mellitus (6.2% and 10%), hypertension (18.0% and 12.4%) and metabolic syndrome (8.9% and 12.1%) for women and men, respectively, was found in the active participants. Similar results were found for high versus low transport-related PA. CONCLUSIONS Increasing levels of PA are associated with a significantly lower frequency of cardiovascular risk factors in Chilean adults.

Tiempo destinado a estar sentado y niveles de adiposidad ¿cuál es su efecto sobre el desarrollo de diabetes mellitus Tipo 2?

Background: Obesity and sedentary behavior are risk factors acting independently in the development of type 2 diabetes. Aim: To investigate whether the association between diabetes and obesity is modified by the levels of sitting time (ST) in the Chilean population. Material and Methods: We included 4,611 participants from the cross-sectional 2009-2010 Chilean National Health Survey in this study. Diabetes was determined as fasting glucose levels ≥126 mg/dl. Body mass index (BMI) and waist circumference (WC) were measured using standardized protocols. Sitting time was assessed using the Global Physical Activity Questionnaire. The association among diabetes, obesity and ST was determined using logistic regression. Results: The odds for diabetes increased by 3.1-fold in people with high levels of ST and obesity in comparison to those with low levels of ST and normal BMI (Odds ratio (OR): 4.17 [95% confidence intervals (CI): 2.87 to 6.05], P < 0.01). The odds for diabetes increased by 2.7fold in highly sedentary subjects with central obesity (OR: 3.73 [95% IC: 2.61 to 5.33], P < 0.01) in comparison to those with low levels of ST and normal WC. Conclusions: Elevated levels of sitting time and obesity are associated with a higher odds of developing diabetes. (Rev Med Chile 2018; 146: 433-441)

Factores asociados a sedentarismo en Chile: evidencia de la Encuesta Nacional de Salud 2009-2010

BACKGROUND Sedentary behaviors are one of the major risk factors for cardiovascular diseases. AIM To identify factors associated with high sedentary behaviors in the Chilean population. MATERIAL AND METHODS We included 5,040 participants from the Chilean National Health Survey 2009-2010. Physical activity level and sedentary behavior (sitting time) were measured using the Global Physical Activity Questionnaire (GPAQ v2). Highly sedentary behaviors were determined as > 4 hours per day of sitting time. Logistic regression was used to identify correlates of highly sedentary behavior. RESULTS Forty seven percent of the study population reported spending more than 4 hours per day sitting. The prevalence was higher in women. The main factors associated with high sedentary behavior were: high income levels (Odds ratio (OR):1.91 [95% Confidence intervals (CI:1.61-2.27]); being woman (OR:1.39 [95% CI:1.24-1.56]): having central obesity (OR:1.15 [95% CI:1.02-1.30]), being physically inactive (OR:2.35 [95% CI:2.06-2.68]), and living in an urban area (OR:1.92 [95% CI:1.63-2.26]). Other factors associates with high sedentary behavior were: being smoker, having a television set, computer and private car at their homes. Participants reporting a poor self-reported health and wellbeing and those with diabetes or metabolic syndrome were more likely to be highly sedentary. CONCLUSIONS The main factors associated with high levels of sedentary behavior are socio-demographic issues, lifestyles and health status.

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.

Asociación entre el polimorfismo rs9939609 del gen FTO y marcadores de adiposidad en población adulta chilena.

BACKGROUND Numerous studies have identified the role of Fat-mass-associated-gene (FTO) in the development of obesity. AIM To investigate the association of FTO gene with adiposity markers in Chilean adults. MATERIAL AND METHODS 409 participants were included in this cross-sectional study. The association between FTO (rs9939609) genotype and adiposity markers was determined using linear regression analyses. Adiposity markers included were: body weight, body mass index, fat mass, waist circumference, hip circumference and waist/hip ratio. RESULTS A fully adjusted model showed a significant association between FTO genotype and body weight (2.16 kg per each extra copy of the risk allele [95% confidence intervals (CI): 0.45 to 3.87], p = 0.014), body mass index (0.61 kg.m-2 [95% CI: 0.12 to 1.20], p = 0.050) and fat mass (1.14% [95% CI: 0.39 to 1.89], p = 0.010). The greater magnitude of association was found between the FTO gene and fat mass when the outcomes were standardized to z-score. CONCLUSIONS This study confirms an association between the FTO gene and adiposity markers in Chilean adults, which is independent of major confounding factors.