ArticleBritish journal of sports medicine2019
Time-to-event analysis for sports injury research part 1: time-varying exposures.
Article in British journal of sports medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- Is the Acute: Chronic Workload Ratio (ACWR) Associated with Risk of Time-Loss Injury in Professional Team Sports? A Systematic Review of Methodology, Variables and Injury Risk in Practical Situations.Sports medicine (Auckland, N.Z.) · 2020Pooled it
- How much running is too much? Identifying high-risk running sessions in a 5200-person cohort study.British journal of sports medicine · 2025Article
- A machine learning framework to classify musculoskeletal injury risk groups in military service members.Frontiers in artificial intelligence · 2024Article
- Intrinsic variables associated with low back pain and lumbar spine injury in fast bowlers in cricket: a systematic review.BMC sports science, medicine & rehabilitation · 2023Article
- Relationships between surrogate measures of mechanical and psychophysiological load, patellar tendon adaptations, and neuromuscular performance in NCAA division I men's volleyball athletes.Frontiers in sports and active living · 2023Article
- Risk factors for injury complaints leading to restricted participation in Athletics (Track and Field): a secondary analysis of data from 320 athletes over one season.BMJ open sport & exercise medicine · 2023Article
- Assessing the cumulative effect of long-term training load on the risk of injury in team sports.BMJ open sport & exercise medicine · 2022Article
- Lower Extremity Musculoskeletal Injury in US Military Academy Cadet Basic Training: A Survival Analysis Evaluating Sex, History of Injury, and Body Mass Index.Orthopaedic journal of sports medicine · 2021Article
- A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration.British journal of sports medicine · 2021Article
- An Analysis of Sport-Specific Pain Symptoms through Inter-Individual Training Differences in CrossFit.Sports (Basel, Switzerland) · 2021Article
- Training for a (half-)marathon: Training volume and longest endurance run related to performance and running injuries.Scandinavian journal of medicine & science in sports · 2020Article
- Training Load and Its Role in Injury Prevention, Part 2: Conceptual and Methodologic Pitfalls.Journal of athletic training · 2020Article
- Statement on methods in sport injury research from the 1st METHODS MATTER Meeting, Copenhagen, 2019.British journal of sports medicine · 2020Article
- Analyzing Activity and Injury: Lessons Learned from the Acute:Chronic Workload Ratio.Sports medicine (Auckland, N.Z.) · 2020Review
- Self-Reported Physical Activity, Injury, and Illness in Canadian Adolescent Ski Racers.Frontiers in sports and active living · 2020Article
- Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 6 institutions in 7 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background
aimTo discuss advanced statistical methods suitable for the complex analysis of time-varying exposures such as changes in training load and injury-related outcomes. CONTENT: Time-varying exposures and time-varying effect-measure modifiers can be used in time-to-event models to investigate sport injury aetiology. We address four key-questions (i) Does time-to-event modelling allow change in training load to be included as a time-varying exposure for sport injury development? (ii) Why is time-to-event analysis superior to other analytical concepts when analysing training-load related data that changes status over time? (iii) How can researchers include change in training load in a time-to-event analysis? and, (iv) Are researchers able to include other time-varying variables into time-to-event analyses? We emphasise that cleaning datasets, setting up the data, performing analyses with time-varying variables and interpreting the results is time-consuming, and requires dedication. It may need you to ask for assistance from methodological peers as the analytical approaches presented this paper require specialist knowledge and well-honed statistical skills.
conclusionTo increase knowledge about the association between changes in training load and injury, we encourage sports injury researchers to collaborate with statisticians and/or methodological epidemiologists to carefully consider applying time-to-event models to prospective sports injury data. This will ensure appropriate interpretation of time-to-event data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.