The scale of the undertaking alone makes the review a landmark. The researchers searched PubMed, Scopus, SPORTDiscus and the Web of Science Core Collection for records published up to 20 January 2026, retrieving 27,644 hits. After removing 14,154 duplicates and screening 13,490 unique citations, they assessed 1,463 full-text reports and finally included 964 studies. Each was charted against a standardized framework capturing sport, athlete level, warm-up modality, dose variables and outcome domain, and the results were organized into an Evidence Gap Map—a visual grid showing where evidence is dense and where it is virtually empty. Crucially, the authors stress that the map reflects evidence availability, not evidence quality: no formal risk-of-bias appraisal was performed, and a crowded cell in the map does not mean a well-answered question.

What the map reveals first is a field obsessed with the jump test. Roughly 429 of the included studies measured jump performance—countermovement jumps, squat jumps, drop jumps and their derivatives—while about 251 assessed sprint speed, 124 measured agility or change of direction, and 187 examined strength or power. These proxy outcomes are easy to standardize, repeat and quantify, which explains their popularity. But the authors warn that a statistically meaningful improvement in an isolated jump or sprint does not necessarily translate into better match results, where technical execution, tactical decisions, opponent behaviour, pacing and fatigue all interact. Explicit competition-referent outcomes—results tied to actual matches, races or official events—appeared in only a handful of studies, a gap the reviewers describe as one of the most important limitations of the entire literature.

The intervention landscape itself is remarkably diverse. PAP/PAPE-oriented conditioning activities—heavy preloads, plyometrics, isometric holds and flywheel exercises designed to trigger post-activation potentiation or performance enhancement—accounted for the largest share, with 341 studies or 35.4 percent of the dataset. Stretching-based warm-ups, spanning static, dynamic, mixed and proprioceptive neuromuscular facilitation approaches, followed with 272 studies. Dynamic movement preparation and activation drills appeared in 206 studies, sport-specific warm-ups in 91, and smaller clusters covered passive heating, respiratory-muscle priming, vibration and neuromuscular stimulation, and soft-tissue techniques such as foam rolling. Notably, the widely promoted RAMP framework—Raise, Activate, Mobilise, Potentiate—was explicitly identifiable in just seven studies, roughly 0.8 percent of the evidence base, despite its prominence in coaching education.

Underneath this diversity lies a reporting problem that undermines the field’s usefulness. Total warm-up duration was missing or insufficiently specified in 384 records—nearly 40 percent of the dataset—and no usable intensity information could be extracted from 232 records, or 24 percent. Where intensity was reported, it ranged from vague descriptors like light or progressively increasing to quantitative anchors such as heart rate, percentage of one-repetition maximum, velocity or perceived exertion. The consequence, the authors argue, is that two protocols labelled identically—say, dynamic warm-up—may differ enormously in exercise selection, volume, sequencing, recovery structure and the transition interval before performance. Without consistent dose reporting, researchers cannot establish minimum effective doses or dose–response relationships, and coaches cannot reproduce the protocols that studies claim to support.

Geography and sport coverage are equally skewed. The 964 studies came from 58 countries, but the United States (121 studies), Turkey (103), the United Kingdom (84), Spain (76) and Brazil (63) dominated the output. Soccer was the most-studied sport with 176 studies, followed by track and field with 116, mixed-sport samples with 84, volleyball with 65, basketball with 56, swimming with 53 and rugby with 44. Dozens of other disciplines—combat sports, precision sports, winter and water-based sports—appeared in fewer than ten studies each, leaving their athletes to extrapolate from evidence generated in very different sporting contexts. The reviewers caution against generalizing findings from soccer players to athletes whose technical, physiological and competition demands differ substantially.

Perhaps the most consequential finding concerns injury prevention, the rationale most often cited for warming up in the first place. Only 34 studies—about 3.5 percent of the dataset—contained any direct injury-related endpoint, symptom measure or perceived protection outcome. The rest relied on proxies such as balance, flexibility, landing mechanics or joint-position sense, which the authors insist should not be treated as equivalent to demonstrated reductions in injury incidence or burden. Importantly, they emphasize that this scarcity reflects a surveillance and reporting gap rather than evidence that warm-up programmes fail to prevent injuries. Proper injury-outcome research demands large samples, prolonged follow-up, exposure-adjusted surveillance, standardized injury definitions and reliable monitoring of adherence—requirements that few studies have met.

The review also untangles a conceptual confusion that has muddied the field for decades. Acute performance-oriented warm-ups are designed to enhance immediate readiness through raised muscle temperature, improved oxygen kinetics, reduced stiffness and neuromuscular potentiation. Structured injury-prevention programmes, by contrast—such as the FIFA 11+ in football or neuromuscular training programmes in basketball and netball—work through repeated exposure, cumulative neuromuscular adaptation and implementation fidelity over an entire season. Both may be delivered before training, but their mechanisms and time courses are fundamentally different. Lumping them together under the single label of warm-up, the authors argue, leads to inappropriate attribution of long-term preventive effects to a single acute session, and vice versa.

A further blind spot is the individual athlete. The reviewers found 917 distinct labels used to describe competitive level across the included studies, from recreational and collegiate to elite, professional and international, with no standardization. Approximately 71 to 76 records did not clearly report competitive level at all. This matters because the balance between potentiation and fatigue after a warm-up depends on training status, strength, age, maturation and sex—variables that were inconsistently defined across the literature. The authors recommend adopting frameworks such as McKay’s Participant Classification Framework and, for youth athletes, reporting maturation status, so that warm-up responses can be compared meaningfully across populations.

Where does the field go from here? The Evidence Gap Map points clearly to the priorities: direct, exposure-adjusted injury endpoints; competition-referent outcomes that test whether laboratory gains survive contact with real matches; implementation research on feasibility, adherence and real-world deployment; and better coverage of underrepresented sports, female athletes and youth populations. The authors also call for minimum reporting standards specifying the complete order of warm-up components, their durations, intensity anchors, volumes, recovery intervals and the transition time before performance. Until then, the message for athletes and coaches is nuanced rather than dismissive: the acute performance benefits of a well-designed warm-up are reasonably well supported, but the deeper claims—about staying injury-free and winning on game day—still rest on a surprisingly narrow and unevenly mapped foundation of evidence.

Subject of Research: Mapping the distribution and gaps of warm-up research evidence in athletes across sports, intervention types and outcome domains

Article Title: Mapping Research on Warm-Up in Athletes: A Scoping Review with Evidence Gap Map

Article References: Bruno, J., Abade, E., Montoro-Bombú, R., Thapa, R. K., & Sarmento, H. (2026). Mapping Research on Warm-Up in Athletes: A Scoping Review with Evidence Gap Map. Sports Medicine – Open, 12(1), Article 154. https://doi.org/10.1186/s40798-026-01123-9

Image Credits: AI Generated

DOI: 10.1186/s40798-026-01123-9

Keywords: warm-up, athletes, scoping review, evidence gap map, injury prevention, post-activation potentiation, sports performance, neuromuscular, PRISMA, sport science, stretching, RAMP framework

The research team, led by Jingwen Xiao and Xiaowei Zhou of Wuhan Sports University alongside colleagues from Central China Normal University, set out to settle debates that have simmered in the sport psychology literature for decades. Previous meta-analyses had suggested that talking to oneself helps, but they disagreed on the details — on whether instructional phrases beat motivational ones, on whether saying “I” or “you” to yourself matters, on whether the words should be spoken aloud or kept silent, and on how the demands of the motor task shape which kind of self-talk works best. The new analysis, drawing on randomized controlled trials identified through searches of seven electronic databases, was designed specifically to test these emerging and previously established moderator variables and to clarify how they interact with one another.

The scale of the evidence base is meaningful if not enormous. After applying predefined inclusion and exclusion criteria following PRISMA guidelines, the team retained 33 eligible randomized controlled trials encompassing 56 separate effect sizes and a pooled sample of 1,848 participants. That these were randomized controlled trials — the gold standard for causal inference — matters enormously. Participants were assigned to self-talk interventions or control conditions by chance, which means the observed differences in performance cannot be easily explained by pre-existing differences in motivation, skill, or confidence. The analysis was conducted with a three-level random-effects model using the metafor package in R, a statistically sophisticated approach that acknowledges a crucial structural reality of meta-analysis: multiple effect sizes drawn from the same study are not independent of one another, and ignoring that nesting inflates the apparent certainty of the findings.

The headline result is striking in its clarity. Across all included trials, self-talk improved sport performance with a pooled effect size of Hedges’ g equal to 0.52, with a 95 percent confidence interval spanning 0.35 to 0.68 and a p-value below 0.001. In practical terms, an effect of this magnitude means that the average athlete receiving a self-talk intervention performed better than roughly 70 percent of athletes in control conditions — a difference comparable to many physical training interventions that athletes and teams spend considerable money pursuing. Hedges’ g is a corrected version of the standardized mean difference, adjusting for small-sample bias, which makes this estimate more trustworthy than a raw Cohen’s d would be in a literature populated by modestly sized experiments.

But the true novelty of this analysis lies in what it found — and did not find — among the moderators. The most consequential moderator to survive statistical scrutiny was self-talk content itself, which significantly influenced the size of the performance benefit at p below 0.05. This distinction maps onto a classic framework in the field: instructional self-talk, consisting of cue words that direct attention to technique and movement execution, such as “elbow up” or “follow through,” versus motivational self-talk, consisting of phrases designed to energize, build confidence, and sustain effort, such as “I can do this” or “give it everything.” The significant moderation effect confirms that what you say to yourself is not interchangeable — the words must be matched to the psychological function they are meant to serve, and some content strategies reliably outperform others.

Perhaps more surprising is the list of variables that failed to reach significance. The moderating effects of motor skill level, motor demands, overtness of the self-talk, personal pronoun use, application situation, and intervention duration were all statistically non-significant at p above 0.05. This is a genuine challenge to received wisdom. The influential matching hypothesis in sport psychology has long held that instructional self-talk works better for fine, precision-based tasks while motivational self-talk works better for gross, strength- and endurance-based tasks. The new analysis tested the interaction between motor demand and content directly and found it did not reach significance. Similarly, the interaction between motor demand and overtness — whether the self-talk was spoken aloud or performed silently — also failed to achieve statistical significance. The message is that the broad strokes of self-talk may be more forgiving than theorists have assumed: athletes appear to benefit across skill levels, task types, and delivery formats, so long as the content is appropriately constructed.

Methodological rigor was a central selling point of the update. Study quality was assessed using the Risk of Bias 2.0 tool, the current standard from the Cochrane collaboration for randomized trials, which evaluates bias arising from the randomization process, deviations from intended interventions, missing outcome data, measurement of outcomes, and selective reporting. The certainty of the evidence was further evaluated using GRADEpro, the grading framework that rates confidence in effect estimates across a body of evidence. The authors explicitly frame their contribution as providing improved methodological rigor relative to earlier syntheses, and the three-level modeling with restricted maximum likelihood estimation represents a technical step forward in handling the dependence among effect sizes. A likelihood ratio test framework was employed in the moderator analyses, ensuring that comparisons between subgroups accounted for the hierarchical structure of the data.

Yet the analysis is not without an important caveat, and the authors are commendably upfront about it. Publication bias diagnostics revealed a possible small-study effect, with Egger’s test returning a p-value below 0.001. In plain language, this pattern suggests that smaller studies in the self-talk literature may be more likely to report larger effects — a signature consistent with publication bias, in which null or weak findings languish in file drawers while positive results reach print. If that is the case, the pooled estimate of 0.52 may represent something of an optimistic ceiling, and the true effect could be somewhat smaller. The authors explicitly caution that the results should be interpreted with this in mind, a level of transparency that strengthens rather than weakens confidence in the overall enterprise.

The practical implications ripple outward from the laboratory to the field, the gym, and the starting line. Because the moderators that many practitioners obsess over — pronoun choice, overtness, duration, skill level — showed no significant effects, the barrier to entry for self-talk training appears low. An athlete does not need a precisely calibrated script or weeks of graduated practice to benefit; what matters most is choosing content that fits the intended function, whether that is refining technique with instructional cues or summoning effort and confidence with motivational phrases. For coaches, this suggests that embedding brief self-talk cues into technical instruction and pre-performance routines is an evidence-supported practice, not a superstitious flourish. For recreational athletes, the finding that benefits emerge across skill levels is quietly democratizing: the mental tool is not reserved for elites.

The authors close with a call that is both standard and necessary: future research should include more high-quality studies to further examine how relevant moderators shape the effect size of self-talk interventions. The unresolved questions are real — the non-significant interaction tests may reflect genuine null effects or simply insufficient statistical power within the available trial pool, and the small-study effect flagged by Egger’s test demands larger, preregistered, rigorously blinded trials to confirm the true magnitude of the benefit. Still, the core conclusion stands on firm ground. With 33 randomized controlled trials and nearly two thousand participants pointing the same direction, the science now says what athletes have intuited all along: the voice in your head, given the right words, is a genuine performance enhancer — free, portable, and always available on demand.

Subject of Research: Effects of self-talk interventions on sports performance and their moderator variables

Article Title: Emerging moderators in effects of self-talk on sports performance: an updated meta-analysis of randomized controlled trials

Article References: Xiao, J., Zhou, X., Wang, N., Li, J., Zhu, J., Li, J., & Hong, X. (2026). Emerging moderators in effects of self-talk on sports performance: an updated meta-analysis of randomized controlled trials. BMC Psychology. https://doi.org/10.1186/s40359-026-05674-0

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05674-0

Keywords: self-talk, sports performance, meta-analysis, sport psychology, randomized controlled trials, instructional self-talk, motivational self-talk, moderators, publication bias, motor skill, Hedges g, BMC Psychology