Does going to university in a different country affect your mental health? A Japanese international university surveyed its students in 2018 and published a study the following year that was approved by several ethical and regulatory boards.
The study found that international students have a higher risk of mental health difficulties than the general population, and that social connectedness (belonging to a social group) and acculturative stress (stress associated with joining a new culture) are predictive of depression.
Explore the students data using PostgreSQL to find out if you would come to a similar conclusion for international students and see if the length of stay is a contributing factor.
Here is a data description of the columns you may find helpful.
| Field Name | Description |
|---|---|
inter_dom | Types of students (international or domestic) |
japanese_cate | Japanese language proficiency |
english_cate | English language proficiency |
academic | Current academic level (undergraduate or graduate) |
age | Current age of student |
stay | Current length of stay in years |
todep | Total score of depression (PHQ-9 test) |
tosc | Total score of social connectedness (SCS test) |
toas | Total score of acculturative stress (ASISS test) |
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns-- Run this code to view the data in students
SELECT *
FROM students;SELECT
STAY,
COUNT(*) AS COUNT_INT,
ROUND(AVG(TODEP), 2) AS AVERAGE_PHQ,
ROUND(AVG(TOSC), 2) AS AVERAGE_SCS,
ROUND(AVG(TOAS), 2) AS AVERAGE_AS
FROM STUDENTS
WHERE INTER_DOM = 'Inter' -- Filter international students
GROUP BY STAY
ORDER BY STAY DESC; sns.heatmap(df[['average_phq', 'average_scs', 'average_as']].corr(), annot=True)