ReviewSports medicine (Auckland, N.Z.)2026
Monitoring Training Effects in Athletes: A Multidimensional Framework for Decision-Making.
Review in Sports medicine (Auckland, N.Z.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- From acute responses to long-term monitoring: a scoping review of the reliability and validity of biomechanical and physiological assessment tools in elite and highly trained swimmers.BMC sports science, medicine & rehabilitation · 2026Pooled it
- Towards a Conceptual Framework for Mechanical Dose in Skeletal Muscle: Integrating Mechanobiology and Resistance Training.Journal of functional morphology and kinesiology · 2026Review
- Mobile Health (mHealth) Apps in Sport Training: A Scoping Review.Sensors (Basel, Switzerland) · 2026Article
- High-Intensity Exercise Performance as a Complex Adaptive System: An Integrative Review.Muscles (Basel, Switzerland) · 2026Review
- Associations Between Endocrine Status and Stress, Mood and Psychosomatic Status in Elite Handball Players.Sports (Basel, Switzerland) · 2026Article
- Training competence questionnaire for endurance and strength training: development and validation.Frontiers in sports and active living · 2026Article
- Associations between time-series features of training-load monitoring indicators and relative composite performance in elite speed climbers: a GEE and quantile regression study.Frontiers in physiology · 2026Article
- Heart rate variability-guided endurance training: evaluating strengths, weaknesses, opportunities, and threats for load prescription and adjustment.Frontiers in sports and active living · 2026Article
- The readiness-preparedness bias: recalibrating monitoring logic.Frontiers in physiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Athlete monitoring is widely used to support training and recovery decisions in elite sport, yet practitioners often face challenges related to data quality, feasibility, and the interpretation of short-term readiness signals within longer-term training adaptation. This narrative review synthesizes conceptual and applied developments in athlete monitoring through the lens of 'training effects', encompassing positive adaptation, maintenance, or maladaptation arising from training, competition, and contextual stressors. We distinguish assessment as isolated or periodic measurement from monitoring as repeated, systematic data collection used to track change over time. Building on contemporary conceptual models, readiness is positioned as an operational proxy for training effects that can inform day-to-day decision making when interpreted longitudinally and within context. We integrate the Minimal, Adequate, and Accurate framework to support tool selection that is economical in resource use, sufficient to meet clearly defined objectives, and grounded in valid and reliable measurement. Tools and metrics are organized according to the primary construct they inform: training load, athlete state and training response. We summarize practical considerations across neuromuscular, subjective, physiological, biochemical, and sleep-related indicators, emphasizing interpretive scope, measurement variability, and implementation constraints. To operationalize individualized monitoring, we outline pragmatic approaches using athlete-specific baselines and distribution-based thresholds (e.g., standard deviation intervals, minimum detectable change), alongside decision-making considerations related to Type I and Type II errors. Overall, this framework aims to reconcile scientific rigor with real-world feasibility, supporting practitioner decision making while acknowledging that monitoring should function as a decision-support process rather than a stand-alone determinant of performance outcomes.
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What OpenQuestion holds
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.