Field Hockey Player Survey on Low Back Pain Risk Factors

A 2026 cross-sectional study of 194 Premier and Division One field hockey players in the UK. The dataset, created by Nicholas Dobbin, contains survey responses on non-specific low back pain, player characteristics, injury history, and training factors. It was used to identify factors associated with greater or lesser odds of reporting low back pain.

Use Cases

• Identify risk factors for low back pain based on player characteristics like age and stature.
• Assess the impact of specific skills, such as performing a drag flick, on injury odds.
• Evaluate the association between occupational factors and reported low back pain in athletes.
• Compare injury risk profiles across different playing positions in field hockey.
• Inform athlete management and movement screening approaches based on the identified key risk factors.

Strengths

• Dataset is focused on a specific population of 194 Premier and Division One field hockey players.
• Analysis identified ten factors associated with greater odds and five factors associated with reduced odds of low back pain.
• Results were derived using both univariable and multivariable logistic regression alongside clinical value assessment.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The sample represents approximately 18% of the accessible player population, which may introduce selection bias.

Provenance

Source

figshare

Collection Method

Online survey using a purposive sampling strategy.

Freshness

Last updated 2026-05-28 19:21:52; freshness should be verified.

Geography

United Kingdom (UK)