Stress, anxiety and depression analysis in students (undergrad and postgrad) according to their academic grade and socioeconomic level
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According to Schopenhauer in its Rule #5 of “Die Kunst, Glücklich zu sein”, we ca infer that stress, anxiety and depression (SAD), affect whole social classes regardless of its social, economical or cultural background. It does imply that a wealthy student might have large amount of SAD due to the issues inherently to its social class or environment. In contrast, a student in lower social classes might have exactly the same physiological symptoms due to a broad variety of inputs non-related to the wealthy one. In a universe of 1000 students, age ranging between 18 to 30 years being male and female. A set of instruments to measure the stress, anxiety and depression as well as hemodynamic variables and a socio-economic analysis will be implemented to correlate them by using the academic degree as independent variable. The degree will be correlated to the socio-economical level and the physiological response. By using machine learning, in house developed algorithm, it will be tuned to get the most out of the data gathered. We will aim to find valid correlations and show the interaction among them that might lead us find the mutual relationship among SAD, academic degree, socio-economic level and hemodynamic variables. By using the machine learning algorithm, we start to pave the way to standardize a method that allows to relate the quantitative and qualitative to diagnose scientifically stress, anxiety and depression level as function of the academic degree, socio-economic level and hemodynamic variables. Ergo, Schopenhauer in his Rule #5 was not wrong.
