Sociodemographic patterns of urine sodium excretion and its association with hypertension in Chile: a cross-sectional analysis.

OBJECTIVE: The aim of the study was to determine the main factors (sociodemographic, anthropometric, lifestyle and health status) associated with high Na excretion in a representative population of Chile. DESIGN: Na excretion (g/d), a valid marker of Na intake, was determined by urine analysis and Tanaka's formulas. Blood pressure was measured by trained staff and derived from the mean of three readings recorded after 15 min rest. The associations of Na excretion with blood pressure and the primary correlates of high Na excretion were determined using logistic regression. SETTING: Chileans aged ≥15 years.ParticipantsParticipants (n 2913) from the Chilean National Health Survey 2009-2010. RESULTS: Individuals aged 25 years or over, those who were obese and those who had hypertension, diabetes or metabolic syndrome were more likely to have higher Na excretion. The odds for hypertension increased by 10·2 % per 0·4 g/d increment in Na excretion (OR=1·10; 95 % CI 1·06, 1·14; P < 0·0001). These findings were independent of major confounding factors. CONCLUSIONS: Age, sex, adiposity, sitting behaviours and existing co-morbidities such as diabetes were associated with higher Na excretion levels in the Chilean population. These findings could help policy makers to implement public health strategies tailored towards individuals who are more likely to consume high levels of dietary salt.

[Association of the TCF7L2 (RS7903146) genotype with adiposity and metabolic markers in the Chilean adult population]. / Asociación del polimorfismo rs7903146, del gen TCF7L2, con marcadores de adiposidad y metabólicos en población chilena - resultados del estudio GENADIO.

BACKGROUND: Type 2 diabetes etiology has a strong genetic component. More than 20 genetic variants have been associated with diabetes and other metabolic markers. However, the polymorphism rs7903146 of the TCF7L2 gene has shown the strongest association. AIM: To investigate the association of TCF7L2 (rs7903146) genotype with adiposity and metabolic markers in the Chilean adult population. MATERIAL AND METHODS: The association of TCF7L2 (rs7093146) with adiposity and metabolic markers was studied in 301 participants. The outcomes of the study were adiposity markers (body weight, body mass index (BMI), fat mass and waist circumference) and metabolic markers (blood glucose, insulin, HOMA-IR, lipid profile, high sensitivity C-reactive protein (CRP), alanine aminotransferase (ALT), gamma glutamyl transpeptidase (GGT) and leptin). RESULTS: There was an association between the polymorphism TCF7L2 genotype and fasting blood glucose. The latter increased by 4.86 mg/dl per each copy of the risk allele [(95% confidence intervals (CI): 0.48; 9.24), p = 0.03] in the unadjusted adjusted model. However, this association was slightly attenuated in the fully adjusted model [4.38 mg/dl (95% IC: 0.16; 8.60), p = 0.04)]. There were no associations between the TCF7L2 genotype and any other metabolic or adiposity outcome. CONCLUSIONS: These findings confirm the association between the TCF7L2 (rs7903146) and fasting glucose in the Chilean population. However, further studies are needed to confirm the association between the TCF7L2 and diabetes risk in the Chilean population.

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.

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.

[Correlates of sedentary behaviors in Chile: evidence from the National Health Survey 2009-2010]. / 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.

[Risk of cognitive impairment among older people with diabetes or family history of the disease]. / Asociación entre diabetes mellitus tipo 2, historia familiar de diabetes y deterioro cognitivo en adultos mayores chilenos.

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.

[Association between FTO (ns9939609) genotype and adiposity markers in Chilean adults]. / 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.

[Association of physical inactivity with obesity, diabetes, hypertension and metabolic syndrome in the chilean population]. / 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.

[Sedentary lifestyle is associated with metabolic and cardiovascular risk factors independent of physical activity]. / 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.

[Effects of a lower body weight or waist circumference on cardiovascular risk]. / Menor peso corporal, de índice de masa corporal y de perímetro de cintura se asocian a una disminución en factores de riesgo cardiovascular en población chilena: Findings from the Chilean health surveyç.

BACKGROUND: Overall and central obesity are important risk factors for cardiovascular disease. AIM: To investigate the association of body weight, body mass index (BMI) and waist circumference (WC) with cardiovascular risk factors in Chile. MATERIAL AND METHODS: We included 5,157 participants from the National Health Survey 2009-2010. Prevalence of type 2 diabetes, hypertension, metabolic syndrome and dyslipidemia (high total cholesterol and triglyceride levels and low HDL-cholesterol) were defined using international recommendations. BMI and WC were measured using standardized protocols. RESULTS: A five percent lower body weight, BMI and WC were associated with a significant reduction in cardiovascular risk factors. For each 5% reduction in body weight, the risk for hypertension decreased by 8 and 9% in women and men respectively. Similar risk reductions were observed for diabetes (9 and 11% respectively), metabolic syndrome (23 and 30% respectively), low HDL cholesterol (13 and 13% respectively), high triglyceride levels (16 and 18% respectively) and total cholesterol (8 and 10% respectively). Similar findings were observed for BMI and WC. CONCLUSIONS: Lower body weight, BMI or WC are associated with important reductions in cardiovascular risk factors. A 5% reduction in these adiposity markers could be a perfectly feasible goal for lifestyle interventions.

[Risk factors associated with hypertension. Analysis of the 2009-2010 Chilean health survey]. / Factores de riesgo asociados al desarrollo de hipertensión arterial en Chile.

BACKGROUND: High blood pressure is one of the major risk factors for the development of cardiovascular disease, affecting 27% of the Chilean population in 2010. AIM: To determine the risk factors associated with the development of hypertension. MATERIAL AND METHODS: Analysis of the database of the 2009-2010 National Health Survey in which 4,901 participants were included. Socio-demographic factors, physical activity, eating habits, well-being and comorbidities were analyzed. RESULTS: Women had a lower risk of developing hypertension than men (Odds ratio (OR): 0.69, 95% confidence intervals (CI): 0.59-0.81, p < 0.01). In both men and women, the risk is greater over the age of 25 years (OR: 2.90, 95% CI: 1.55-5.43, p < 0.01). The risk is greater in subjects who were overweight (OR: 1.61, 95% CI: 1.31-1.98, p < 0.01), obese (OR: 3.18, 95% CI: 2.56-3.95, p < 0.01), or had central obesity (OR: 2.25, 95% CI: 1.85-2.72, p < 0.01). Subjects with a family history of hypertension and diabetes also have a higher risk. CONCLUSIONS: Identifying the risk factors associated with hypertension allows public health policies to be tailored to its prevention.

[Association of active commuting with obesity: findings from the Chilean National Health Survey 2009-2010]. / Mayores niveles de transporte activo se asocian a un menor nivel de adiposidad y menor riesgo de obesidad: resultados de la Encuesta Nacional de Salud 2009-2010.

BACKGROUND: Active commuting is associated with a lower risk for obesity in developed countries. AIM: To investigate the association between active commuting and obesity risk in Chile. MATERIAL AND METHODS: Active commuting was measured using the Global Physical Activity Questionnaire (GPAQ v2) in 5,293 participants from the Chilean National Health Survey 2009-2010. Body mass index (BMI) and waist circumference (WC) were the study outcomes. The association between active commuting and obesity was investigated using linear and logistic regression analysis. RESULTS: Thirty four percent of responders [95% confidence intervals (CI): 32.6-35.1] were passive commuters. Active commuters had a lower BMI and WC than their passive counterparts. Thirty minutes increment in active commuting were associated with a -0.20 kg.m-2 lower BMI [95% CI: -0.33 to -0.07, p < 0.01] and a -076 cm lower WC [95% CI: -1.08 to -0.43, p < 0.01]. The odds of having a BMI > 25 kg.m-2 was 0.93 [95% CI: 0.88 to 0.98, p = 0.01] per every 30 minutes' increment in active commuting, whereas the odds for central obesity was 0.87 [95% CI: 0.82 to 0.92, p < 0.01]. CONCLUSIONS: Active commuting is associated with a lower adiposity and lower risk for obesity in Chilean adults.

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.

[Being physically active modifies the detrimental effect of sedentary behavior on obesity and cardiometabolic markers in adults]. / Ser físicamente activo modifica los efectos nocivos del sedentarismo sobre marcadores de obesidad y cardiometabólicos en adultos.

BACKGROUND: Sedentary behavior is a major risk factor for cardiovascular disease and mortality. AIM: To investigate whether the associations between sedentary behavior and cardiometabolic markers differs across physical activity levels. MATERIALS AND METHODS: Cross sectional study of 314 participants aged 18 to 65 years. Body mass index (BMI) and waist circumference were measured, and body fat was derived from the sum of four skinfolds. Physical activity was measured objectively using accelerometers (Actigraph GT1M, USA®). A fasting blood sample was obtained to measure glucose, insulin, HOMA-IR, lipid profile and high sensitive C reactive protein (hsCRP). Those participants with an activity level > 600 MET.min-1.week-1 were classified as physically active. RESULTS: Thirty four percent of participants were physically inactive and spent an average of 8.7 h.day-1 in sedentary pursuits. Physically inactive individuals had poorer cardiometabolic health than their physically active counterparts. Per one hour decrease in overall sedentary behavior, there was a significant improvement in glucose (-8.46 and -4.68 mg.dl-1), insulin (-2.12 and -1.77 pmol.l-1), HOMA-IR (-0.81 and -0.56) BMI (-0.93 and -0.62 kg.m-2) and waist circumference (-2.32 and -1.65 cm) in physically active and inactive participants, respectively. CONCLUSIONS: Being physically active may modify the detrimental effects of sedentary behavior on cardiometabolic and obesity-related traits.

[Inverse association of cardiorespiratory fitness with cardiovascular risk factors in Chilean adults]. / Fitness cardiorrespiratorio se asocia a una mejora en marcadores metabólicos en adultos chilenos.

BACKGROUND: A high level of cardiorespiratory fitness (CRF) is an important protector against cardiovascular and metabolic diseases. AIM: To explore the association of CRF with several metabolic markers and estimate the variation of these parameters by an increase of 1 MET change in CRF. MATERIAL AND METHODS: Cross-sectional study of 447 adults (56% women) without medical history of cardiometabolic diseases. Physical activity evaluated using accelerometry, body mass index (BMI), blood pressure, blood glucose and insulin and lipid profile were measured. HOMA-IR was calculated with fasting glucose and insulin levels. The submaximal Chester Step Test was used to measure CRF. RESULTS: CRF was significantly associated with the level and intensity of physical activity, and all metabolic markers (p-trend < 0.05), except with diastolic blood pressure. It was estimated that 1-MET increase in CRF is associated with waist circumference (ß -0.32 cm), fat mass (ß -0.22%), insulin (ß -0.67 pmol.l-1), HOMA-IR (ß -0.17) and HDL cholesterol (ß +1.46 mg.dl-1). All these associations were independent of main covariates such as age, sex, education, smoking and body mass index. CONCLUSIONS: A higher level of CRF is inversely associated with several metabolic markers that are risk factors for cardiovascular disease.

[Higher physical activity levels are associated with lower prevalence of cardiovascular risk factors in Chile]. / 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.