Objective:

To assess changes in the prevalence of depressive symptoms (DS) and in detection and treatment coverage between 2006 and 2018, and to identify the sociodemographic factors associated with the latter.

Materials and methods:

We used data from the Ensanut 2006, 2012, 2018-19, 100k. We used logistic regression to explore demographic factors associated with coverage of detection and treatment of depression.

Results:

The prevalence of DS was respectively: 15.4, 13.7, 13.6 and 15.0%. Living in municipalities with a very high and high degree of marginalization was associated with less coverage of detection and treatment of depression.

Conclusions:

This work provides evidence on the gaps that exist in access to mental health services between regions and different levels of marginalization and highlights the need to direct efforts to increase access to health services that allow timely diagnosis and treatment of DS and depression.