Background: Depression is a highly prevalent disease in Chilean adults. Aim: To identify sociodemographic, biomedical, and psychosocial factors related with depression in a representative sample of the Chilean adult population. Material and Methods: Analysis of data from the National Health Survey 2016-2017 which included 5,291 participants aged > 15 years. Depression was assessed using the Composite International Diagnostic Interview (CIDI-SF). Association between sociodemographic data, health and psychosocial variables and depression was analyzed using Poisson regression with robust error. Results: The probability of depression was higher in women than in men (prevalence ratio (PR) = 2.13 [95% confidence intervals (CI): 1.65, 2.75]). In both genders, the probability was higher in people with frailty (women: PR = 10.0 [95% CI: 1.86, 18.1] and men: PR = 3.38 [95% CI: 2.72; 4.20]), severe chronic pain (women: PR = 2.84 [95% CI: 1.93, 4.18 and men: PR = 6.41 [95% CI: 3.59, 9.40]), presence of two or more diseases (women: PR = 4.15 [95% CI: 2.78, 6.20 and men: PR = 2.60 [95% CI: 1.39, 3.81]), perception of permanent stress (women: PR = 11.0 [95% CI: 6.13, 16.0], men: PR = 21.0 [95% CI: 10.2, 31.7]), financial stress (women: PR = 2.57 [95% CI: 1.87, 3.27] men: PR = 4.27 [95% CI: 2.48, 6.06] and poor or very poor perception of health (women: PR = 5.02 [95% CI: 1.92, 8.12], men: 2.09 [95% CI: 0.49, 3.69]). In men, the probability of depression was higher for widowers than married man (PR = 5.58 [95% CI: 2.5, 8.25]), presence of goiter (PR = 4.03 [95% CI: 1.99, 6.07]) and low social support (PR = 1.95 [95% CI: 1.18; 2.72]). Conclusions: The factors associated with a higher probability of depression are diverse in nature. Among these being women, frailty, chronic pain, multimorbidity and high perception of stress are important factors.

ABSTRACT 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 non-diabetic 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 socio-demographic 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.