Project: 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)

DataFrameavailable as

students

variable

-- Save the CSV file as students
SELECT * 
FROM 'students.csv';

DataFrameavailable as

data_summary

variable

-- Explore data
SELECT
 inter_dom AS count_inter_dom,
 COUNT(*) AS total_records
FROM students
GROUP BY inter_dom;

DataFrameavailable as

count_int

variable

-- Explore International students data
SELECT
 COUNT(*) AS total_records
FROM students
WHERE inter_dom = 'Inter';

DataFrameavailable as

count_dom

variable

-- Explore Domestic students
SELECT
 COUNT(*) AS total_records
FROM students
WHERE inter_dom NOT LIKE '%Inter%' AND inter_dom IS NOT NULL;

DataFrameavailable as

count_null

variable

-- Explore NULL student type data
SELECT
 COUNT(*) AS total_records
FROM students
WHERE inter_dom IS NULL

DataFrameavailable as

statistics_summary_overall

variable

-- Summary statistics of the diagnostics scores for all students
SELECT
 ROUND(min(tosc),2) AS min_scs,
 ROUND(min(toas),2) AS min_as,
 ROUND(min(todep),2) AS min_phq,
 ROUND(max(tosc),2) AS max_scs,
 ROUND(max(toas),2) AS max_as,
 ROUND(min(todep),2) AS max_phq,
 ROUND(avg(tosc),2) AS avg_scs,
 ROUND(min(toas),2) AS avg_as,
 ROUND(avg(todep),2) AS avg_phq
FROM students;

DataFrameavailable as

statistics_summary_international_students

variable

-- Summary statistics of the diagnostics scores for international students only
SELECT
 ROUND(min(tosc),2) AS min_scs,
 ROUND(min(toas),2) AS min_as,
 ROUND(min(todep),2) AS min_phq,
 ROUND(max(tosc),2) AS max_scs,
 ROUND(max(toas),2) AS max_as,
 ROUND(min(todep),2) AS max_phq,
 ROUND(avg(tosc),2) AS avg_scs,
 ROUND(min(toas),2) AS avg_as,
 ROUND(avg(todep),2) AS avg_phq
FROM students
WHERE inter_dom = 'Inter';

DataFrameavailable as

length_stay_impact

variable

-- Analyse the impact of length of stay on diagnostic score
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;