Dra. Mardones-Leiva, Lorena

Los factores del estilo de vida podrían promover un envejecimiento saludable. Objetivo: Investigar la asociación entre la actividad física (PA), comportamiento sedentario y deterioro cognitivo en chilenos mayores adultos. Material y Métodos: Se incluyeron 1.390 participantes de la Encuesta Nacional de Salud (2009-2010). El Mini-mental El examen estatal se utilizó para diagnosticar el deterioro cognitivo. La actividad física y el comportamiento sedentario fueron evaluados con Cuestionario Global de Actividad Física (GPAQ). Regresión Logística se realizó para investigar las asociaciones. Resultados: Comparados con adultos mayores con niveles más bajos de PA (< 48 min/día), aquellos con niveles medios (48-248 min/día) y más altos (>248 min/día) de PA tuvieron menores probabilidades de deterioro cognitivo (Odds ratio (OR): 0,57 [95% IC: 0,32; 0,83], p < 0,01, respectivamente). Los participantes que informaron que pasaban más de 8 horas al día sentados tenían una alta probabilidad de deterioro cognitivo en comparación con aquellos que pasaban < 4 horas/ día (OR: 3,70 [IC 95%: 1,37; 6,03], p = 0,01). Conclusiones: Tanto la PA como el comportamiento sedentario se asociaron independientemente con el deterioro cognitivo independiente de los principales factores de confusión en adultos mayores chilenos.

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.

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.

Background: Fat-mass-associated-gene (FTO) is associated with higher energy intake and specific food preferences. Aim: To investigate the association of the FTO genotype with energy intake, macronutrient and alcohol consumption. Material and Methods: Four hundred and nine participants of the GENADIO (Genes, Environment, Diabetes and Obesity) study were included. Energy intake, macronutrient and alcohol consumption were the outcomes of interest. The association of FTO (rs9939609) genotype with these outcomes was investigated using linear regression analyses, adjusting for confounding variables. Results: After adjusting for socio-demographic factors, being a carrier of the risk allele for the FTO gene was associated with a higher energy intake (173 kcal per each extra copy of the risk variant [95% confidence intervals (CI): 45; 301], (P = 0.008). After adjusting for lifestyle factors and body mass index, the association was slightly attenuated but remained significant (144 kcal [95% CI: 14; 274], p = 0.030). Conclusions: The FTO genotype is associated with a higher energy intake. (Rev Med Chile 2018; 146: 1252-1260)

Antecedentes: el gen FTO presenta las variantes genéticas que confieren el mayor riesgo de obesidad hasta ahora identificado. Se han reportado asociaciones de polimorfismos del gen FTO y alteraciones de marcadores metabólicos en diversas poblaciones, pero no en chilenos. El objetivo de este estudio fue investigar la asociación del polimorfismo rs3751812 con marcadores de adiposidad y metabólicos en adultos chilenos. Métodos: se determinó el genotipo del FTO en 409 participantes del estudio GENADIO. Se evaluaron marcadores de adiposidad (peso corporal, índice de masa corporal [IMC], % de masa grasa y perímetro de cintura), marcadores metabólicos (glicemia, insulina, HOMAIR, colesterol total, colesterol LDL, colesterol HDL, triglicéridos, leptina, ALT, GGT, PCRus) y presión arterial. La asociación entre el genotipo FTO y los distintos marcadores se realizó mediante análisis de regresión lineal. Resultados: tras ajustar los marcadores por las variables de confusión, se evidenció una asociación significativa de los genotipos de riesgo con todos los marcadores de adiposidad estudiados y con los marcadores metabólicos: insulina, HOMAIR, leptina y colesterol HDL (p < 0,05). Para colesterol total, triglicéridos, colesterol LDL, ALT, GGT y PCRus, la asociación perdió significancia al ajustar por IMC. Conclusión: este estudio revela que existe una asociación entre el polimorfismo rs3751812 del gen FTO con obesidad, hiperinsulinemia, hiperleptinemia y bajos niveles de colesterol HDL en la población chilena, lo que podría aumentar el riesgo de desarrollar diabetes mellitus tipo II y síndrome metabólico.

La duración del sueño puede ser un factor de riesgo de deterioro cognitivo. Objetivo: Investigar la asociación entre la duración del sueño y la función cognitiva en adultos mayores chilenos. Material y Métodos: Se analizó la información de 1.384 participantes de más de 60 años que participaron en la Encuesta Nacional de Salud 2009-2010, quienes fueron evaluados con el Mini Examen de Estado Mental (MMSE) y se auto-informaron de sus horas de sueño promedio diarias. Se realizó análisis de regresión logística para investigar la asociación entre MMSE y duración del sueño. Resultados: En comparación con aquellos participantes que reportaron dormir 7 horas al día, aquellos que informaron dormir < 5 horas tuvieron un mayor impar de deterioro cognitivo (Odds ratio (OR): 3,66 [95% intervalos de confianza (IC: 1,69; 7,95], p < 0,01). Del mismo modo, aquellos que informaron haber dormido más de 8 horas al día también mostraron un impar mayor de deterioro cognitivo (OR: 2,56 [IC 95%: 1,32; 4,95], p < 0,01). Esta asociación fue aún más fuerte en personas que reportaron más de 10 horas de sueño por día (OR: 4,46 [IC 95%: 1,32; 4,95], p < 0,01). Conclusiones: La larga y corta duración del sueño se asocia con deterioro cognitivo en adultos mayores en Chile, independientemente de los principales factores de confusión.

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.