Predicting mental health based on artistic intelligence components in junior high school students in Mazandaran province

The aim of this study was to predict mental health based on the components of artistic intelligence in junior high school students in Mazandaran province.

This research was applied and descriptive-correlational. The statistical population was all 124796 students in the first secondary school of Mazandaran province in the academic year 2019-20, which according to Krejcie and Morgan table, 375 people were selected by multi-stage cluster sampling. The measurement tool was a researcher-made questionnaire of art intelligence with 55 items and mental health of Omidian and Alavi Langroudi with 46 items whose construct validity, using factor analysis and reliability through Cronbachchr('39')s alpha coefficient, respectively, were equal. 0.94 and 0.92 were calculated. Data were analyzed using Pearson correlation coefficient and regression analysis using SPSS23 software.

The findings showed that there is a significant relationship between artistic intelligence and its components (artistic talent, artistic attitude, artistic taste, artistic activity, artistic skills and art economics) with studentschr('39') mental health. Artistic intelligence components explain (predict) 61% of studentschr('39') mental health. Also, the artistic taste component has the largest share in predicting studentschr('39') mental health.

Artistic intelligence and art therapy as one of the tools to strengthen and discharge psychological emotions and an important factor in preventing mental illness and studentschr('39') health.