PTSD Symptom Networks in Chinese College Students After COVID-19

A dataset of 1,150 undergraduate students from Hubei and other Chinese provinces, used to analyze posttraumatic stress disorder symptom networks following the COVID-19 epidemic. The data was collected via self-report questionnaires and analyzed using R packages for network estimation and comparison. The research was conducted by Rui Sun of Shandong University.

Use Cases

• Compare symptom centrality (e.g., flashbacks, irritability) between different geographic groups based on the network analysis described.
• Model psychological 'typhoon eye' and 'ripple' effects at the symptom level based on the study's conceptual framework.
• Identify distinct intervention targets for PTSD in different populations based on the reported differences in central symptoms like distorted cognition and physiological responses.

Strengths

• Includes responses from 1,150 undergraduate students, providing a substantial sample size.
• Compares two distinct geographic groups: 271 students from Hubei province and 879 from other provinces.
• Analysis focuses on specific PTSD symptoms like flashbacks, irritability, and distorted cognition, allowing for granular network modeling.

Limitations

• Row count and column-level documentation for the underlying raw data are unknown.
• Last update date is unknown; freshness unverified.
• Data may reflect geographic and demographic bias inherent to the specific student population sampled.

Provenance

Source

Rui Sun, Shandong University, via paperswithcode.

Collection Method

Data was gathered via self-report questionnaires completed by undergraduate students.

Geography

China, specifically Hubei province and other provinces.