Suicide constitutes a public health problem that has a significant economic, social and psychological impact on a global scale. Recently, the American Psychological Association has indicated that suicide prevention should be a public health priority. Suicidal ideation appears as a key variable in suicide prevention. The objective of this research was to verify the adjustment of an explanatory model for suicidal ideation, which considers the effects of cognitive emotion regulation strategies, affectivity and hopelessness. An open mode on-line sample of 2,166 Argentine participants was used and a path analysis was carried out. The results make it possible to conclude that the model presents an optimal fit (χ2 = .10, p = .75, CFI = .99, RMSEA = .01) and predicts 42% of suicidal thoughts. The model proves to be invariant based on age and gender. In conclusion, there is an importance of reducing the use of automatic strategies, such as repetitive negative thoughts of ruminative type, and increasing the use of more controlled strategies, such as reinterpretation or planning.