Study note • PMID 36293817
A Systematic Review of the Relationship between Workload and Injury Risk of Professional Male Soccer Players.
How to use this page
This note summarizes one study record. Check the participants, methods, results, and limitations before applying it to training.
- • Design signal: systematic review / meta-analysis.
- • Population relevance: athlete/trained context.
- • Consistency: synthesis evidence present.
- • Practical recommendation depends on tolerance, context, and whether it protects training consistency.
ELI5
In plain language
The number of studies on the relationship between training and competition load and injury has increased exponentially in recent years, and it is also widely studied by researchers in… (systematic review / meta-analysis; athletes).
In this systematic review / meta-analysis, the abstract suggests a positive relationship with Injury risk. Treat this as a signal, not a guarantee; confirm methods and context in the full paper.
Takeaways
What the abstract suggests
- • Study question: The number of studies on the relationship between training and competition load and injury has increased exponentially in recent years, and it is also widely studied by researchers in…
- • In this systematic review / meta-analysis, the abstract suggests a positive relationship with Injury risk.
- • Population: athletes.
- • Protocol cues: abstract may omit dose/timing; use the full paper to replicate accurately.
Protocol
Protocol (as reported)
- • Intervention/exposure: injury, load.
- • Dose/time/duration: abstract doesn’t include enough detail; use the full paper’s methods section.
- • Outcomes: Injury risk.
- • Replication note: abstracts often omit adherence and timing; confirm details before changing training or supplementation.
Fit
Who it may help, and who should be cautious
Who it helps
- • Athletes similar to the study population (athletes) working on injury risk.
- • Athletes who can measure Injury risk with a repeatable workout or time-trial effort.
Who should be cautious
- • If you have symptoms or conditions that make the intervention risky, get professional guidance.
- • If you’re near race day and can’t safely test, defer the experiment.
Methods
What the study actually did
- • Design: systematic review / meta-analysis.
- • Population: athletes.
- • Outcomes measured: Injury risk.
- • Source: PubMed PMID 36293817 (2022) — International journal of environmental research and public health.
Results excerpt
What the abstract reports
“(4) Based on the workload and fatigue recovery factors, artificial intelligence technology may possess good predictive power regarding injury risk.”
Note: excerpts are short; for full context, read the paper.
Limits
Limitations and bias
- • Abstract-only summaries can miss critical details (population, protocol, adherence, and context).
- • Reviews and consensus statements mix protocols and populations; recommendations may not match your exact constraints.
- • If your context differs (elite vs recreational; cycling vs running), adjust expectations and be conservative.
- • This is performance information, not medical advice.
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