UK University Student Mental Health Survey Data for Network Analysis

1,285 students from five UK universities were assessed using eight validated psychometric instruments. The data was used to construct a scale-level network with 8 nodes and an item-level network with 33 nodes, focusing on depression, loneliness, and suicidal ideation. The dataset, authored by Xiao-Han Zhang and last updated in March 2026, is shared under a CC-BY-4.0 license.

Use Cases

• Identifying core mental health symptoms based on centrality indices from the network analysis.
• Analyzing association patterns between depression, anxiety, and stress using the reported edge weights.
• Investigating the bridging role of loneliness between suicidal ideation and psychotic experiences.
• Testing network stability and structure using methods like the EBICglasso algorithm.
• Developing targeted intervention models based on symptom connections identified in the item-level network.

Strengths

• Data is based on a survey of 1,285 students, providing a substantive sample size.
• Assessment used eight validated psychometric instruments, suggesting methodological rigor.
• Network stability analysis reported CS coefficients reaching the good standard of 0.5.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying raw data is unknown, which may limit suitability assessment.
• Data reflects a specific cross-sectional sample from five UK universities, which may limit generalizability.

Provenance

Source

figshare, author Xiao-Han Zhang.

Collection Method

Cross-sectional survey using eight validated psychometric instruments.

Time Range

Survey date not specified; dataset last updated March 2026.

Freshness

Last updated 2026-03-18 07:44:06; freshness should be verified.

Geography

Five universities in the United Kingdom.