Introduction:

The current situation given by the COVID-19 has not only affected the economy and health of many countries, but has also caused a number of problems in the mental health of the general population. Therefore, the commitment and research among professionals in the social sciences and psychology is necessary.

Objective:

To structure a method of analysis to evaluate and typify psychometric profiles of positive mental health in the Colombian population in a situation of confinement by COVID-19.

Material and Methods:

We reviewed the literature related to positive mental health and the multivariate technique of cluster analysis. We took a sample of 270 men and women between the ages of 18 and 75, to whom we applied the Positive Mental Health Scale proposed by Lluch related to the factors of personal satisfaction, prosocial attitude, self-control, autonomy, problem solving and self-updating, and interpersonal relationship skills. We applied the multivariate technique of cluster analysis to establish the psychometric profiles of positive mental health.

Results:

Four profiles that typify positive mental health in confinement were shown, with profile 1 being rated with an average of 2.05 and profile 2 with 2.69 being in a medium rating, while profile 3 with an average of 3.13 and profile 4 with an average of 3.32 being in a high rating of positive mental health.

Conclusions:

The proposed method of analysis is significant to evaluate and typify psychometric profiles of positive mental health in confinement by COVID-19.

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