Anxiety and Depression Factors in Socially Vulnerable Youth

South African data examines factors associated with anxiety and depression using logistic regression. The dataset includes variables such as Poor Sleep Quality, Childhood Adversity, Hazardous Alcohol Use, and Household Socioeconomic Status. It was authored by Shane A. Norris and last updated in March 2026.

Use Cases

• Perform logistic regression to model the association between Childhood Adversity and anxiety/depression outcomes.
• Analyze the mediating role of Poor Sleep Quality on mental health outcomes using the provided variables.
• Investigate how Household Socioeconomic Status interacts with Hazardous Alcohol Use in predicting depression risk.
• Examine the protective effect of a Committed Relationship on mental health outcomes within this population.

Strengths

• Dataset is openly available under a CC BY 4.0 license.
• Focuses on multiple specific risk factors like Poor Sleep Quality and Childhood Adversity.
• Authored by a named researcher, Shane A. Norris, providing clear attribution.

Limitations

• Dataset is very small at 17.5 KB, indicating limited scope and likely a small sample size.
• Specific row and column counts are unknown, limiting assessment of analytical power.
• Geographic and temporal coverage are not specified, reducing generalizability.

Provenance

Source

figshare

Collection Method

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Time Range

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Freshness

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Geography

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