OBJECTIVES:To evaluate the influence of demographic, socioeconomic, and risk factors variables on the EQ-5D time trade-off [TTO] and visual analogue scale [VAS] population values as well as in the self-reported health by VAS [VAS-SR] in Argentina. METHODS: We included data from 41,392 adults in the first National Risk Factor [RF] Survey (2005), a general population nationally representative sample. Survey variables included self-reported sociodemographic parameters and RF (diabetes [DBT], high blood pressure [HBP], dyslipemia [DLP], obesity [OB], smoking [SMK], healthy diet [HD], physical activity [PA], as well as the EQ-5D instrument (including the descriptive system and the VAS-SR item). TTO and VAS preference values were mapped from a local EQ-5D Value study. We assessed the independent relationships between EQ-5D scores (TTO and VAS) as well as the VAS-SR with sociodemographic variables and RF. We used multivariable linear regression modeling. We considered clinically meaningful a coefficient of >=0.02. RESULTS: Final models included 33,964 subjects, representing 17,586,759 Argentineans, and had an R2 of 0.16-0.19. In fully adjusted models, the following variables were statistically, consistently, and clinically associated with both TTO and VAS EQ-5D scores as well as VAS-SR: age, gender, income, selected provinces, health coverage, DBT, HBP, DLP, PA, with coefficients ranging from 0.02 to 0.09. Though there were statistical differences among housing, household, education, employment status, gender of household head, SMK, OB, and HD subgroups, they had a small magnitude (coefficients <0.02) or were not consistently associated with TTO/VAS/VAS-SR. CONCLUSIONS: In Argentina, in addition to sociodemographic factors, diabetes, hypertension, physical activity and dyslipemia, were significantly and strongly associated with scores on the EQ-5D as well as with self-reported VAS. This is, to our knowledge, the first study in Latin America that evaluates the determinants of EQ-5D weights and VAS-SR using a general population health survey as well as locally derived weights.