Anxiety and Depression Analysis with Lifestyle and Social Factors

Kaggle hosts a dataset for mental health risk prediction, focusing on anxiety, depression, lifestyle, and social factors. The dataset's size, row count, and specific authorship details are not provided. The last update date is unknown.

Use Cases

• Predict anxiety risk scores from lifestyle and social factor columns using classification models.
• Analyze correlations between depression indicators and specific lifestyle habit features.
• Cluster individuals into risk groups based on combinations of social and behavioral data fields.
• Build regression models to estimate severity of mental health symptoms from input survey features.

Strengths

• Focuses on multiple key mental health domains: anxiety, depression, lifestyle, and social factors.
• Intended for predictive modeling tasks, suggesting structured feature and target variables.

Limitations

• Dataset size, row count, and column definitions are unknown, hindering reproducibility.
• Potential for self-reported data bias and unverified geographic or demographic representativeness.

Provenance

Source

Kaggle

Collection Method

null

Time Range

null

Freshness

null

Geography

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