Dra. Mardones-Leiva, Lorena

La obesidad es una enfermedad inflamatoria, crónica, recurrente, progresiva y de etiología multifactorial, que afecta a más 650 millones de personas en el mundo. La carga física, emocional y económica que genera la obesidad no solo guarda relación con sus manifestaciones clínicas, sino también por su impacto a nivel sistémico y a largo plazo. En Chile, el crecimiento económico, la urbanización y la globalización han modificado profundamente el modo de vivir de la población lo que ha favorecido un ambiente obesogénico. Sin embargo, ¿qué factores han repercutido en el desarrollo de obesidad en Chile? ¿cuál ha sido el rol de cada uno de estos factores en el aumento de la prevalencia de esta patología? En la parte 1 de esta revisión discutiremos los principales factores no modificables que han repercutido en su desarrollo, desde la transición epidemiológica que vivió el país en la década de los 70, hasta las patologías endocrinas relacionadas.

Chile tiene una de las tasas de obesidad más altas del mundo. Se estima que para el año 2030 las muertes atribuidas a esta enfermedad alcanzarían a 204 mil personas, incrementándose además los costos económicos asociados a esta patología. Las causas y los factores de riesgo asociados al desarrollo de obesidad son diversos. Sin embargo, existe consenso que una de las maneras más eficaces de prevenir y/o disminuir su prevalencia es abordando los factores de riesgo modificables, a través del fomento de hábitos de vida saludable con un enfoque integral, centrados en la alimentación saludable, práctica de actividad física, prevención del tabaquismo y consumo de alcohol, como también en el cuidado de la salud mental del individuo. No obstante, el desafío es cómo hacer realidad estos buenos propósitos. En este contexto, el objetivo de esta revisión, parte 2, fue investigar los principales factores modificables, con énfasis en los factores individuales, que han repercutido en el desarrollo de obesidad: desde una mirada global hasta el caso particular de Chile.

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.

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.