STATA Codes: Predictors of Post-Traumatic Stress After Musculoskeletal Trauma

125 adults admitted to a UK major trauma centre were assessed for post-traumatic stress symptoms (PTSS) at baseline, three, and six months. This secondary analysis dataset, authored by Ferozkhan Jadhakhan and updated in May 2026, contains STATA code for identifying predictors of PTSS, including trauma mechanism, anxiety, and injury severity. The six-month predictive model demonstrated excellent discrimination with an AUC of 0.91.

Use Cases

• Predicting post-traumatic stress risk based on trauma mechanism and psychological factors mentioned in the description
• Analyzing the longitudinal relationship between injury severity and symptom progression over six months
• Validating statistical models for clinical prediction using metrics like AUC and Hosmer-Lemeshow tests described in the results

Strengths

• Dataset includes longitudinal measurements at three time points (baseline, 3 months, 6 months) for 125 participants
• Analysis results show a model with excellent discrimination (AUC=0.91) and good calibration (p=0.70)
• Clear clinical thresholds defined, with PTSS scores ≥22 on the IES-R scale indicating elevated symptoms

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data may reflect geographic bias inherent to a single UK major trauma centre

Provenance

Source

Secondary analysis of a prospective cohort study from a UK major trauma centre.

Collection Method

Clinical assessments using the Impact of Event Scale–Revised (IES-R) and multivariate logistic regression.

Time Range

Measurements taken at baseline, three months, and six months post-injury.

Freshness

Last updated 2026-05-06 17:32:23; freshness should be verified

Geography

United Kingdom (participants admitted to a UK major trauma centre).