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Adolescent Stress Correlates Data
Mental Health & Wellness
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Free
About
This anonymised dataset is curated for the analysis of mental health patterns among teenagers. It specifically targets stress levels, leveraging data gathered from social media activity, surveys, and wearable devices. Comprising 5000 entries across 11 distinct columns, its primary objective is to identify correlations between various behavioural factors, such as social media engagement, physical activity, and sleep patterns, with observed stress levels. This resource is invaluable for academic research into adolescent mental well-being, aiding in the early detection of stress and the development of preventive care strategies.
Columns
- User_ID: A unique identifier assigned to each participant in the study.
- Age: The age of the participant, ranging from 13 to 19 years.
- Gender: Indicates the participant's gender, represented as "M" for Male and "F" for Female.
- Social_Media_Hours: The daily hours a participant spends on social media platforms.
- Exercise_Hours: The daily hours a participant dedicates to physical exercise.
- Sleep_Hours: The total hours of sleep a participant gets per day.
- Screen_Time_Hours: The aggregate daily screen time, encompassing social media, gaming, and other digital activities.
- Survey_Stress_Score: A self-reported stress score provided by the participant, on a scale of 1 (low stress) to 5 (high stress).
- Wearable_Stress_Score: A stress score objectively measured by wearable devices, ranging from 0 to 1.
- Support_System: Describes the participant's perceived support system, categorised as 'Moderate', 'High', or 'Other'.
- Academic_Performance: Reflects the participant's academic standing, categorised as 'Poor', 'Good', or 'Other'.
Distribution
This dataset is provided in a CSV file format, named 'mental_health_analysis.csv', with a file size of 426.17 kB. It contains 5000 individual entries (rows) and is structured across 11 distinct columns.
Usage
This dataset is ideally suited for:
- Research into adolescent mental health.
- Developing methods for early stress detection in teenagers.
- Informing strategies for preventive care concerning youth mental well-being.
- Analysing the impact of digital habits, physical activity, and sleep on teenage stress.
Coverage
The dataset focuses on the demographic of teenagers, specifically participants aged between 13 and 19 years, with data distributed across male and female genders. The data is anonymised. No specific geographic location or time range for data collection is provided within the available sources.
License
CC0: Public Domain
Who Can Use It
- Mental Health Researchers: To study adolescent mental health patterns and correlates.
- Healthcare Providers: For insights into early stress indicators and preventive care.
- Educators and Policy Makers: To understand factors affecting student well-being and inform support programmes.
- Data Scientists and Analysts: To develop predictive models for stress levels based on behavioural data.
Dataset Name Suggestions
- Teenage Mental Health Insights Dataset
- Adolescent Stress Correlates Data
- Youth Mental Wellbeing Analysis
- Digital Habits and Teen Stress
- Teenage Mental Health Analytics
Attributes
Original Data Source: Adolescent Stress Correlates Data
QUALITY