Analyzing Students' Mental Health in SQL

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

--code to save the CSV file as students
SELECT * 
FROM 'students.csv';

DataFrameas

df1

variable

-- Count the total number of records in the dataset
SELECT COUNT(*) AS total_records
FROM students;

DataFrameas

df

variable

-- Count the number of records for each student type
SELECT inter_dom, COUNT(*) AS count_inter_dom
FROM students
GROUP BY inter_dom;

DataFrameas

df

variable

-- Query for students with student type 'inter'
SELECT *
FROM students
WHERE inter_dom = 'Inter';

-- Query for students with student type 'dom'
--SELECT *
--FROM students
--WHERE inter_dom = 'dom';

-- Query for students with unknown student type
--SELECT *
--FROM students
--WHERE inter_dom IS NULL;

DataFrameas

df

variable

--- Write a new query to see how the length of stay of an international student impacts the average diagnostic scores rounded to two decimal places, order the results by descending order of the length of stay and use the following aliases: average_phq, average_scs, and average_as, in that order.

SELECT stay,  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;