Abstract

AGUILERA-SOSA, Víctor Ricardo; REYNOSO-MARTINEZ, Grecia; MARIN-SOTO, María Delfina  and  PEREZ-VIELMA, Nadia Mabel. Evaluation of Mental Health during the COVID-19 Pandemic with a Mental Health App in Mexico. Acta de investigación psicol [online]. 2022, vol.12, n.2, pp.16-28.  Epub Apr 21, 2023. ISSN 2007-4719.  https://doi.org/10.22201/fpsi.20074719e.2022.2.436.

Background. Artificial intelligence (AI) simulates cognitive processes transduced to computer systems. It allows making decisions with a high level of effectiveness, this permit making diagnoses and clinical predictions based on the algorithms. One of the consequences of Covid-19 disease is the damage to mental health in the population. AI and remote care allow the diagnosis and intervention of a significant number of people who are looking for apps and virtual spaces for psychological care. Objective. To identify the levels of anxiety, self-esteem, depression, personal strength, suicidal ideation, grief and emotional intelligence by means of a well-being app during the Covid-19 pandemic. Material and Methods. It was a non-probabilistic, non-experimental, cross-sectional, descriptive, quantitative and comparative design. Procedure. Through the app, an open invitation was sent to participate in mental health research during the Covid-19 pandemic, which included the instruments to be answered, objectives, and indications, from February six of 2020 to May Three of 2021. The app returns the results of the answered instruments, identifying the user, gender, age, and in the case of adults, the salary range, the work activity, the work company and the work area. Results. Of the total app users who participated, 83.6% were women; 23% were adolescents, 45% emerging adults, 31% adults, and 1% > 49 years of age. High levels of anxiety, depression, stress and suicidal ideation and grief were found in the population, with significant differences greater in women, adolescents, and emerging adults; self-esteem with higher scores in the group older than 49 years. Personal strength and emotional intelligence, both protective factors, had statistical significance in favor of adults, older than 49 years, and low scores in the group of adolescents. Conclusions. With the application of mental health instruments with a psychological well-being app, it was possible to select a high n of participants from different age groups, identifying high scores for anxiety, depression, and suicidal ideation at risk levels, and with significant differences in adolescents, emerging adults, and women. Those over 49 years of age had positive scores on Personal Strength and Emotional Intelligence.

Keywords : Artificial intelligence; Mobile phone application; Mental health; Covid-19.

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