Research Outputs
Association between bodyweight perception, nutritional status, and weight control practices: A cross-sectional analysis from the Chilean Health Survey 2016-2017
This research aimed (1) to examine the agreement between body mass index (BMI)-based nutritional status and perceived nutritional status overall and by socio-demographic factors and (2) to state the association between the accuracy of weight perception and weight control practices in the Chilean adult population. A population-based cross-sectional study was carried out with 5,192 Chilean adult participants from the Chilean National Health Survey 2016–2017. Agreement between BMI-based weight status and body weight perception for the total sample and across subgroups was determined using the weighted kappa coefficient. The agreement between BMI-based and perceived nutritional status of the total sample was fair (kappa = 0.38). A higher rate of weight perception accuracy was identified in women, younger respondents, and participants with higher education, a higher income, and from urban areas than their counterparts. Respondents with overweight or obesity tended to underestimate their nutritional status. Actions to lose weight were higher in those who had the right perception of their overweight/obesity condition and those who overestimated their body weight, regardless of their nutritional status. In all groups, weight loss behaviors were more related to the perceived than the BMI-based nutritional status. The consequences of accurate perception of the nutritional status are discussed including its effects on body weight and mental health.
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 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.
Genetic variants in the SLC16A11 gene are associated with increased BMI and insulin levels in nondiabetic Chilean population
Objective: To study the association of SLC16A11 gene variants with obesity and metabolic markers in nondiabetic Chilean adults. Materials and methods: This cross-sectional study included 263 nondiabetic adults. The genotype of the rs75493593 polymorphism of SLC16A11 gene was performed by real-time PCR. It’s association with adiposity markers (body weight, BMI, waist circumference and fat mass percentage), metabolic markers (glucose, insulin, HOMAIR, leptin, total cholesterol, LDLc, HDLc, triglycerides, ALT, GGT and hsCRP) and blood pressure was analyzed by linear regression. Results: The minor allele (T) of the SLC16A11 gene (rs75493593) has a frequency of 29.7% among Chileans. Risk genotypes (GT and TT) were associated with a significant 1.49 mU/l increase in plasmatic insulin for each copy of the minor allele (95% CI: 0.12, 2.87, p < 0.05). This association remained significant after adjusting for socio-demographic variables, physical activity and smoking (1.36 mU/l, 95% CI: 0.16, 2.58 p < 0.05), but was lost when BMI was included as a confounding factor. Higher BMI was also significantly associated with polymorphic genotypes in SLC16A11, independent of sociodemographic variables. Conclusion: The minor allele of the SLC16A11 gene (T) is highly prevalent among Chileans and is associated with increased insulin and BMI in nondiabetic individuals. These findings suggest that the genetic variant in SLC16A11 is not only associated with type 2 diabetes as previously shown in Mexicans, but is also related to early metabolic alterations in healthy subjects that may lead to type 2 diabetes.
Caracterización de los estilos de vida en dueñas de casa chilenas. Análisis de la Encuesta Nacional de Salud 2009-2010
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.
Asociación de un índice de estilos de vida saludable con factores de riesgo cardiovascular en población chilena
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.
Menopausia y factores de riesgo cardiovascular en mujeres chilenas
Background: Menopause exposes women to an increased cardiovascular risk. Aim: To determine the association between menopause and cardiovascular risk factors in Chilean adult women using data from the National Health Survey (NHS) 2016-2017. Material and Methods: Data from 2,139 women over 40 years of age participating in the NHS 2016-2017, with information about menopause and cardiovascular risk factors was used. Expansion factors were applied to this sample, obtaining an expanded sample of 3,733,191 participants. Laboratory values (blood glucose, triglycerides, HDL and total cholesterol) and anthropometric measurements (body weight, height and waist circumference) were analyzed. The presence of hypertension, diabetes, and metabolic syndrome (MetS) were also recorded. Results: Sixty seven percent of surveyed women were menopausal and had higher systolic blood pressure than non-menopausal participants. Menopause was significantly associated with hypertension (Odds ratio (OR): 2.43 [95% confidence intervals (CI): 1.71; 3.45], p < 0.01) and diabetes (OR: 2.05 [95% CI: 1.32; 3.19], p < 0.01). However, no association was observed with obesity, abdominal obesity or MetS. Conclusions: In these women, a positive association was identified between menopause and hypertension as well as diabetes.
Is waist-to-height ratio a better predictor of hypertension and type 2 diabetes than body mass index and waist circumference in the Chilean population?
Objective: The aim of this study was to identify which anthropometric measurement (body mass index [BMI], waist circumference [WC], or waist-to-height ratio [WHtR]) is a better predictor of type 2 diabetes and hypertension in the Chilean population. Methods: The study included 13 044 participants (59.7% women) from the Chilean National Health Surveys conducted in 2003, 2009-2010, and 2016-2017. BMI, WC, and WHtR were the anthropometric measurements evaluated. Hypertension was defined as systolic blood pressure ≥140 mm Hg and diastolic blood pressure -90 mm Hg or on medication for hypertension. Diabetes was defined as fasting glucose -7 mmol/L or on medication for diabetes. The receiver operating characteristics (ROC) curve and the area under curve (AUC) were computed to derive the specificity and sensitivity using a bootstrapping approach. Results: Compared with BMI and WC, WHtR was the anthropometric measurement with the highest AUC curve in both sexes for hypertension (AUC for women: 0.70; 95% confidence interval [CI], 0.67-0.73; AUC for men: 0.71; 95% CI, 0.69-0.74) and diabetes (AUC for women: 0.71; 95% CI, 0.66-0.77; AUC for men: 0.71; 95% CI, 0.67-0.76). The sex-specific cutoff points of WHtR to predict hypertension were 0.59 and 0.55 for women and men, respectively. Those used to predict diabetes were 0.60 and 0.58 for women and men, respectively. Conclusion: WHtR was a better predictor of hypertension and diabetes than BMI and WC in Chile. The definition of cutoff points specific for the Chilean population could be implemented in future screening programs aiming to identify high-risk individuals.
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.
Association of adiposity and diabetes mellitus type 2 by education level in the Chilean population
Background: Adiposity and education are two independent risk factors for type 2 diabetes (T2D). However, there is limited evidence whether both education and adiposity are associated with T2D in an additive manner in the Chilean population. Aim: To investigate the joint association between adiposity and education with T2D in the Chilean adult population. Material and Methods: Analysis of data of the Chilean National Health Survey 2016-2017, which included 5,033 participants with a mean age of 43 years, (51% women). Poisson regression analyses with robust standard error were used to investigate the joint association of the education level and general and central adiposity with T2D. The results were reported as Prevalence Ratio and their 95% confidence intervals (PR, 95% CI). Results: Obesity was associated with a higher probability of having T2D in men than in women, however central adiposity was associated with a higher probability of having T2D in women than in men. Compared with men who had higher education (> 12 years) and had normal body weight, those with the same educational level and who were obese had 2.3-times higher probability of having T2D (PR: 2.35 [95% CI: 1.02; 5.39]). For women, having a low education and being obese was associated with 4.4-times higher probability of having T2D compared to those with higher education and normal body mass index (BMI) (PR: 4.47 [95% IC: 2.12; 9.24]). Similar results were observed when waist circumference was used as a marker of obesity rather than BMI. Conclusions: Women and men with higher BMI and low education had a higher risk of T2D. However, this risk was higher in women than in men.