Logistic Regression Analysis of Depression and Anxiety Factors

Nicole Lovato's dataset contains the results of a logistic regression analysis examining factors associated with depression and anxiety symptoms at a follow-up time point. The data is stored in a 9.5 KB XLS file and was last updated on April 23, 2026. It is licensed under CC-BY-4.0.

Use Cases

• Training logistic regression models based on the described analysis of depression and anxiety factors.
• Replicating statistical analyses of clinical follow-up data mentioned in the description.
• Identifying potential predictor variables for mental health symptom outcomes based on the study's focus.

Strengths

• File size is precisely 9.5 KB, indicating a compact and focused dataset.
• Dataset has a clear CC-BY-4.0 license for open reuse.
• Last update date is explicitly stated as 2026-04-23.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Nicole Lovato via figshare

Collection Method

Likely contains results from a statistical analysis of clinical or survey data.

Time Range

Follow-up time point is mentioned, but specific dates are not provided.

Freshness

Last updated 2026-04-23 17:23:31; freshness should be verified.

Geography

Geographic coverage is not specified.