Health Anxiety Factors Logistic Regression Analysis

Mohamed Terra's research dataset contains results from a multivariable logistic regression analysis identifying factors linked to clinically significant health anxiety. The dataset is a 5.5 KB Excel file published on figshare. It was last updated in April 2026.

Use Cases

• Replicate the multivariable logistic regression model using the reported predictor variables and outcome variable.
• Analyze the reported odds ratios and confidence intervals for specific risk factors.
• Validate the association between demographic or clinical features and health anxiety diagnosis.
• Compare the identified significant factors against other mental health datasets.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Analysis is focused on a specific clinical outcome (health anxiety).

Limitations

• Dataset is very small at 5.5 KB, containing only analysis results, not raw patient data.
• Sample size, demographic details, and specific variables used in the regression are unknown.

Provenance

Source

Mohamed Terra via figshare.

Collection Method

Results from a multivariable logistic regression analysis.

Time Range

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Freshness

Last updated in April 2026.

Geography

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