Network Structure of NSSI, Addiction, and Motivation in Bus Drivers, 2023

A dataset of 1250 bus drivers screened in southern Anhui between June 1 and July 1, 2023. It contains survey responses on non-suicidal self-injury, alcohol and food addiction, and motivation, analyzed using network and Bayesian methods. The data was uploaded by Xun Song and is licensed under CC-BY-4.0.

Use Cases

• Network analysis of psychological symptom interrelations based on regularized partial correlation network results.
• Investigating directional relationships between reward, fear, and addiction based on Bayesian directed acyclic graph findings.
• Developing targeted intervention strategies for transportation workers based on identified central nodes like Reward and Fear.
• Cross-addiction research based on the described positive association between alcohol and food addiction.

Strengths

• Includes data from 1250 participants, providing a substantial sample size.
• Uses standardized assessments like AUDIT and YFAS 2.0, suggesting validated measurement.
• Focuses on a specific, understudied occupational group (bus drivers).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to being collected solely in southern Anhui, China.
• The primary data file is a 284.5 KB DOC document, which is a tiny dataset and may not contain raw data.

Provenance

Source

figshare

Collection Method

Cluster sampling and standardized assessments including DSM-5-based questionnaire, AUDIT, YFAS 2.0, and HRFS.

Time Range

Data collected June 1–July 1, 2023.

Freshness

Last updated 2026-05-14 05:43:22; freshness should be verified.

Geography

Southern Anhui, China.