Anxiety and Depression Comorbidity Factors in 3954 Individuals

3954 records support a logistic regression analysis identifying factors linked to anxiety and depression co-morbidity. The dataset includes variables related to mental health, sleep quality, alcohol use, and childhood adversity. It was created by Shane A. Norris and is available under a CC BY 4.0 license.

Use Cases

• Perform logistic regression to model anxiety and depression co-morbidity using factors like Poor Sleep Quality and Hazardous Alcohol Use.
• Conduct mediation analysis to explore how variables such as Childhood Adversity or Household Socioeconomic Status influence mental health outcomes.
• Investigate the association between behavioral factors like Committed Relationship and reduced risk of co-morbidity.
• Analyze the relationship between Poor Sleep Quality and mental health indicators within this specific cohort of 3954 individuals.

Strengths

• A substantial sample size of 3954 individuals for statistical analysis.
• Includes a focused set of variables specifically relevant to mental health and behavioral research.
• Available under a permissive CC BY 4.0 license for broad reuse.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope and likely few variables.
• Specific column names and data types are unknown, complicating immediate analysis.
• The temporal and geographic context of the data collection is not provided.

Provenance

Source

Shane A. Norris via figshare.

Collection Method

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Time Range

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Freshness

Last updated on 2026-03-24, indicating a recent or forward-dated update.

Geography

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