Exploring the Link Between Lifestyle Habits and Mental Health

Discover how daily choices impact mental well-being across 7 countries. Our research analyzes exercise, diet, sleep, stress, screen time, and social interactions in adults aged 18-64.

Mental Health Conditions

Click on each condition to see detailed statistics from our research

Anxiety

Characterized by excessive worry and nervousness

628
Cases
5.26
Avg Happiness

Depression

Persistent feelings of sadness and loss of interest

580
Cases
5.34
Avg Happiness

PTSD

Develops after experiencing a traumatic event

624
Cases
5.46
Avg Happiness

Bipolar

Mood swings from manic highs to depressive lows

573
Cases
5.47
Avg Happiness

No Condition

Individuals without diagnosed mental health issues

595
Cases
5.45
Avg Happiness

Country-Specific Data

Explore mental health and lifestyle patterns across different countries

United States

Mental Health & Lifestyle Analysis

Sample Size

446

Avg. Happiness

5.35

Avg. Sleep (hrs)

6.4

Screen Time (hrs)

5.2

Mental Health Distribution

Lifestyle Factors Correlation

About Our Project

Equanimitas: A systematic study on mental health and lifestyle habits

Research Visualization

Mental Health × Lifestyle Habits

Equanimitas Research Initiative

This systematic study explores the complex relationship between mental health and various lifestyle habits in the population aged 18-64 across seven countries: Australia, Brazil, Canada, Germany, Japan, Mexico, and the USA.

Research Objectives

  • Analyze how lifestyle factors influence mental health conditions
  • Identify key correlations between habits and mental well-being
  • Examine demographic variations across countries and age groups
  • Provide evidence-based recommendations for public health
  • Develop predictive models for mental health risk assessment

Methodology

We conducted a comprehensive analysis of 3,000 records using Python with Pandas, NumPy, Matplotlib and Seaborn. Our methodology included:

  • Data cleaning and preprocessing
  • Exploratory data analysis (EDA)
  • Statistical hypothesis testing
  • Correlation and regression analysis
  • Visualization of key findings

Dataset Information

Comprehensive dataset of 3,000 records across 7 countries

Dataset Characteristics

The dataset contains 3,000 records with 12 variables covering demographic information, lifestyle habits, and mental health conditions. Data was collected from adults aged 18-64 across seven countries.

3,000
Total Records
7
Countries
12
Variables
5
Mental Health Conditions

Key Variables

  • Demographics: Country, Age, Gender
  • Lifestyle Habits: Exercise Level, Diet Type, Sleep Hours, Stress Level, Screen Time, Social Interaction
  • Mental Health: Diagnosed Conditions (Anxiety, Depression, PTSD, Bipolar, None)
  • Well-being Metrics: Happiness Score, Work Hours

Age Distribution of Participants

Mental Health Assessment

Discover which mental health condition you might be more prone to based on your lifestyle habits

How many hours do you sleep on average per night?

Less than 5 hours
5-6 hours
6-7 hours
More than 8 hours

How would you describe your stress levels?

Low - I rarely feel stressed
Moderate - I feel stressed sometimes
High - I feel stressed frequently

How often do you engage in physical exercise?

Rarely (Low)
Sometimes (Moderate)
Regularly (High)

How much time do you spend on screens daily?

Less than 2 hours
2-4 hours
4-6 hours
More than 6 hours

How would you describe your social interactions?

Limited (Low)
Moderate
Frequent (High)

Your Mental Health Assessment

Based on your lifestyle habits, you might be more prone to:

Anxiety

About Our Prediction Model

This assessment uses a Random Forest classifier trained on our dataset of 3,000 participants from 7 countries. The model analyzes lifestyle patterns to predict susceptibility to mental health conditions with 82% accuracy.

Key factors considered in the model:

Sleep patterns
Stress levels
Exercise frequency
Screen time
Social interactions
Diet quality
Work-life balance

Note: This is not a clinical diagnosis. The model predicts susceptibility based on lifestyle correlations found in our research.

Curious Findings

Interesting insights from our mental health research

1

Sleep Matters

People who sleep less than 6 hours are 30% more likely to experience anxiety compared to those who sleep 7-8 hours.

2

Exercise Benefits

Individuals with high exercise levels reported 40% lower rates of depression than those with sedentary lifestyles.

3

Screen Time Impact

Every additional hour of daily screen time correlates with a 5% increase in reported stress levels across all age groups.

4

Diet Connection

Participants with balanced diets reported 25% higher happiness scores than those with primarily junk food diets.

5

Country Variations

Japan showed the highest average sleep duration (7.2 hrs) while Brazil reported the highest screen time (5.5 hrs daily).

6

Social Interaction

Individuals with high social interaction scores were 50% less likely to report symptoms of depression.