Skip to content

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 NameDescription
inter_domTypes of students (international or domestic)
japanese_cateJapanese language proficiency
english_cateEnglish language proficiency
academicCurrent academic level (undergraduate or graduate)
ageCurrent age of student
stayCurrent length of stay in years
todepTotal score of depression (PHQ-9 test)
toscTotal score of social connectedness (SCS test)
toasTotal score of acculturative stress (ASISS test)
Spinner
DataFrameas
students
variable
-- Run this code to save the CSV file as students
SELECT * 
FROM 'students.csv';
Spinner
DataFrameas
count
variable
/* Count of all records in the data */

SELECT COUNT(*) AS num_records
FROM students;
Spinner
DataFrameas
df1
variable
/* Count of all records per student type (Inter / Dom) */

SELECT inter_dom, COUNT(*) AS num_records
FROM students
GROUP BY inter_dom;
Spinner
DataFrameas
df2
variable
/* Looking at average mental health scores by student type (Inter /Dom) */

SELECT
	inter_dom,
	ROUND(AVG(todep),2) AS avg_depress_score,
	ROUND(AVG(tosc),2) AS avg_social_connect_score,
	ROUND(AVG(toas),2) AS avg_accult_stress_score
FROM students
WHERE inter_dom IS NOT NULL
GROUP BY inter_dom;
Spinner
DataFrameas
df3
variable
/* Looking at summary statistics for all students */

SELECT
	MIN(todep) AS min_dep,
	MAX(todep) AS max_dep,
	ROUND(AVG(todep),2) AS avg_dep,
	percentile_disc(0.5) WITHIN GROUP (ORDER BY todep) AS median_dep,
	MIN(tosc) AS min_sc,
	MAX(tosc) AS max_sc,
	ROUND(AVG(tosc),2) AS avg_sc,
	percentile_disc(0.5) WITHIN GROUP (ORDER BY tosc) AS median_sc,
	MIN(toas) AS min_as,
	MAX(toas) AS max_as,
	ROUND(AVG(toas),2) AS avg_as,
	percentile_disc(0.5) WITHIN GROUP (ORDER BY toas) AS median_as
FROM students;

Spinner
DataFrameas
df4
variable
/* Looking at summary statistics for International students */

SELECT
	MIN(todep) AS min_dep,
	MAX(todep) AS max_dep,
	ROUND(AVG(todep),2) AS avg_dep,
	percentile_disc(0.5) WITHIN GROUP (ORDER BY todep) AS median_dep,
	MIN(tosc) AS min_sc,
	MAX(tosc) AS max_sc,
	ROUND(AVG(tosc),2) AS avg_sc,
	percentile_disc(0.5) WITHIN GROUP (ORDER BY tosc) AS median_sc,
	MIN(toas) AS min_as,
	MAX(toas) AS max_as,
	ROUND(AVG(toas),2) AS avg_as,
	percentile_disc(0.5) WITHIN GROUP (ORDER BY toas) AS median_as
FROM students
WHERE inter_dom = 'Inter';
Spinner
DataFrameas
df
variable
/* Looking at how the length of stay (in years) for International Students affects average
mental health scores. */ 

SELECT
	stay,
	ROUND(AVG(todep),2) AS average_depsc,
	ROUND(AVG(tosc),2) AS average_scs,
	ROUND(AVG(toas),2) AS average_sc
FROM students
WHERE inter_dom = 'Inter'
GROUP BY stay
ORDER BY stay DESC;