🧠 Teen Mental Health & Social Media Usage Dataset

A comprehensive dataset exploring the relationship between social media behavior, lifestyle habits, mental health indicators, and depression risk among teenagers. This dataset provides valuable insights into how factors such as screen time, sleep patterns, stress levels, anxiety, and physical activity may influence adolescent mental well-being.

##📌 About the Dataset

Mental health challenges among teenagers have become a growing global concern, especially in the age of social media. While digital platforms offer opportunities for communication and self-expression, excessive usage has also been linked to anxiety, stress, sleep disruption, and depression.

This dataset was created to simulate real-world behavioral and psychological patterns observed among adolescents. It enables researchers, educators, students, and data scientists to investigate the complex interactions between social media engagement and mental health outcomes.

Whether you're building machine learning models, conducting exploratory data analysis, or studying mental health trends, this dataset provides a rich foundation for meaningful insights.

📊 Dataset Overview

Property	Details
Rows	1,200 Teenagers
Columns	13 Features
Missing Values	None
File Format	CSV
Target Variable	`depression_label`
Domain	Mental Health & Social Media Analytics

🗂️ Column Descriptions

Participant Information

Column	Type	Description
Teen_ID	Integer	Unique identifier assigned to each participant
Age	Integer	Age of the teenager (13–19 years)
Gender	Categorical	Gender of the participant (Male/Female)

Social Media Usage

Column	Type	Description
Social_Media_Hours	Float	Average daily hours spent on social media
Preferred_Platform	Categorical	Primary social media platform used (Instagram, TikTok, Both)

Lifestyle Factors

Column	Type	Description
Sleep_Hours	Float	Average daily sleep duration
Physical_Activity_Level	Integer	Physical activity frequency or engagement score

Academic Performance

Column	Type	Description
Academic_Performance	Float	Academic achievement or GPA-related performance score

🧠 Mental Health Indicators

Column	Type	Description
Stress_Level	Integer	Self-reported stress level (1–10 scale)
Anxiety_Level	Integer	Self-reported anxiety level (1–10 scale)
Depression_Label	Binary	Depression status (0 = Not Depressed, 1 = Depressed)

Key Insights & Trends

Sleep Deprivation and Depression Teenagers identified as depressed tend to sleep significantly less than their non-depressed peers, suggesting sleep quality may be a critical factor in mental well-being.

Higher Social Media Usage Depressed individuals generally report spending more hours on social media each day, indicating a potential relationship between excessive screen time and mental health concerns.

Increased Stress and Anxiety Stress and anxiety scores are substantially higher among teenagers classified as depressed.

Physical Activity as a Protective Factor More physically active teenagers tend to show lower rates of depression and better overall mental health indicators.

Gender-Based Differences Depression prevalence is slightly higher among female participants compared to male participants.

Academic Performance Shows Weak Correlation Academic achievement appears to have a weaker relationship with depression compared to behavioral and psychological factors.

📈 Potential Use Cases

This dataset supports a wide range of data science and research applications:

Depression Prediction
Social Media Impact Analysis
Sleep & Mental Health Research
Exploratory Data Analysis (EDA)
Feature Importance Studies
Machine Learning Classification Projects
Educational & Academic Research
Dashboard and Data Visualization Projects

Suggested Target Variables

Goal	Target Column
Classification	Depression_Label
Analysis	Stress_Level
Analysis	Anxiety_Level
Analysis	Social_Media_Hours
Research	Sleep_Hours

📂 Feature Categories at a Glance

Teen_Mental_Health_Dataset

├── Demographics
│ ├── Teen_ID
│ ├── Age
│ └── Gender

├── Social Media Behaviour
│ ├── Social_Media_Hours
│ └── Preferred_Platform

├── Lifestyle Factors
│ ├── Sleep_Hours
│ └── Physical_Activity_Level

├── Academic Performance
│ └── Academic_Performance

└── Mental Health
├── Stress_Level
├── Anxiety_Level
└── Depression_Label

Data Quality

✅ No missing values across all records

✅ Clean and structured format

✅ Consistent categorical encoding

✅ Ready for Machine Learning workflows

✅ Suitable for EDA, visualization, and predictive modeling

✅ Beginner-friendly and research-oriented

Disclaimer

This is a synthetically generated dataset created for educational, analytical, and machine learning purposes. It does not contain real personal information and should not be used for clinical diagnosis, medical treatment, or healthcare decision-making.

Acknowledgements

If you use this dataset in your projects, notebooks, research, or educational work, please consider providing feedback and sharing your findings. Community contributions help improve future versions of the dataset and promote meaningful discussions around teen mental health and digital well-being.

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数据集版权信息

本数据集的许可证为 MIT License。如有违反相关条款，请联系 WEHUB，我们将及时处理。查看许可证

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