Analyzing Students' Mental Health

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)

DataFrameas

students

variable

-- Run this code to view the data in students
SELECT * 
FROM students;

DataFrameas

df

variable

-- Start coding here...
SELECT 
	stay AS stay,
	COUNT(inter_dom) 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'
GROUP BY stay
ORDER BY stay DESC;

DataFrameas

df1

variable

SELECT
	japanese_cate AS jap_prof,
	COUNT(inter_dom) AS count_int,
	ROUND(AVG(todep),2) AS average_phq,
	ROUND(AVG(tosc),2) AS average_scs,
	CASE WHEN japanese_cate = 'High' THEN '3'
		 WHEN japanese_cate = 'Average' THEN '2'
		 WHEN japanese_cate = 'Low' THEN '1'
		 ELSE '4' 
	END AS jap_prof_order
FROM students
WHERE inter_dom = 'Inter'
GROUP BY japanese_cate
ORDER BY jap_prof_order DESC;

DataFrameas

df2

variable

SELECT
	gender,
	inter_dom,
	COUNT(*) AS student_count,
	ROUND(AVG(todep),2) AS average_phq,
	ROUND(AVG(toas),2) AS average_as
FROM students
WHERE gender IS NOT NULL AND gender != ''
GROUP BY gender, inter_dom;