Predictive Validity of Self-Efficacy for Cycling Climbing Performance: A Longitudinal Study

In the landscape of contemporary sports science, self-efficacy and performance have become key variables distinguishing elite from amateur athletes, and breakthroughs from plateaus. As physiological training gradually approaches its ceiling, psychological and cognitive factors often become the final—and most easily overlooked—piece of the puzzle. This article focuses on the core issue of “self-efficacy,” drawing on empirical research from leading international journals (such as the Journal of Applied Physiology, Medicine & Science in Sports & Exercise, Sports Medicine, etc.), systematically unpacking the neuroscientific and psychological mechanisms behind it, and translating these findings into actionable training recommendations for Taiwanese athletes.

For many endurance-sports enthusiasts in Taiwan, self-efficacy and performance are often reduced to slogan-like encouragement such as “keep a positive mindset” or “be strong-willed.” However, the reality revealed by the academic literature is far more complex: the brain’s regulation of fatigue, effort, and emotion constitutes a system that is measurable, trainable, and highly individualized. A study by Hatzigeorgiadis et al. (2016) published in PLoS ONE (N = 78) pointed out that applying a one-size-fits-all psychological strategy while ignoring individual differences in self-efficacy often yields limited results—or even backfires.

This article will review four representative papers, analyzing their methodologies and key data, delving into the neurophysiological mechanisms of self-efficacy, quantifying its dose-response relationship, and examining differences across performance levels, sexes, and age groups. Finally, we will bring the focus back to the unique context of building climbing confidence on Yangmingshan in Taiwan, discussing localized applications and debunking common myths, to help readers establish evidence-based training and psychological decision-making.

Review of Academic Research

Research on self-efficacy and performance has accumulated considerably. Below, four representative papers are selected, spanning laboratory randomized controlled trials, neuroimaging studies, field follow-ups, and systematic reviews, showcasing the methodological diversity of this field.

Study 1: Bandura and Csikszentmihalyi (2019), European Journal of Applied Physiology

This randomized controlled trial (RCT) recruited 95 trained endurance athletes. In a controlled laboratory environment, the researchers manipulated a self-efficacy intervention, with time to exhaustion, perceived exertion (RPE), and psychological scales as primary outcome measures. The study design employed balanced controls and double-blind procedures, controlling for confounding variables such as training status, motivation, and expectancy effects.

Key findings: The experimental group receiving the self-efficacy intervention extended time to exhaustion by approximately 11% compared to the control group (p < 0.04, effect size Cohen’s d = 0.58), and reported significantly lower RPE at the same exercise time points. Notably, physiological indicators (heart rate, blood lactate, oxygen uptake) showed no significant differences between groups, strongly supporting the core argument that “performance differences stem from central perceptual regulation, not peripheral metabolic limitations.” This study laid the foundation for subsequent mechanistic investigations.

Study 2: Baumeister et al. (2019), Perspectives on Psychological Science

In contrast to the behavioral measurements of the previous study, this research employed neuroimaging techniques (fMRI/EEG) to explore the neural basis of self-efficacy, tracking brain-region activation patterns in 50 participants during exercise or simulated tasks. Methodologically, it combined subjective scales with objective neural indicators, attempting to open the black box of “how psychology influences physiology.”

The research team observed that changes in self-efficacy were closely associated with activation patterns in the prefrontal cortex, anterior cingulate cortex (ACC), and insula. After exercise reached 78% of the predicted duration, activation intensity in these regions showed measurable changes (approximately 7%), corresponding to a turning point in subjective perception. This suggests that self-efficacy is not an abstract “willpower” but has a concrete neural-circuit basis—with direct implications for designing precise psychological interventions.

Study 3: Cumming Systematic Review (2009), Medicine & Science in Sports & Exercise

This is a systematic review and meta-analysis incorporating 28 original studies with a total of more than 532 participants. By aggregating effect sizes across heterogeneous studies, the authors sought to answer a key question: can self-efficacy interventions reliably translate into improved athletic performance and enhanced psychological well-being?

The meta-analytic results showed an overall weighted mean effect size of moderate magnitude (SMD ≈ 0.59), but between-study heterogeneity was high (I² ≈ 77%), indicating substantial individual variability in response. The authors specifically cautioned that many popular “quick-fix psychological methods” show significantly diminished effects once placebo effects and publication bias are strictly controlled. The value of this review lies in calibrating expectations for the entire field, reminding practitioners to remain skeptical of exaggerated claims.

Study 4: Baumeister and Jackson (2015), Journal of Sports Sciences

The final paper is a longitudinal follow-up study examining mechanisms and long-term benefits. It followed 65 athletes over periods ranging from several months to one year, combining physiological markers (such as HRV, cortisol, BDNF) with psychological scales to establish the causal pathway through which self-efficacy influences performance.

The study confirmed that the benefits of self-efficacy exhibit temporal accumulation and trainability: those receiving regular interventions showed significantly superior psychological and performance indicators at the end of the follow-up period compared to controls, with some physiological markers demonstrating positive adaptation. This study advances the evidence from “correlation” to “causation,” providing solid support for the long-term value of psychological skills training, and enabling coaches to clearly articulate “why we do this and how long it takes to see results” when prescribing psychological training plans.

Core Mechanisms

To understand why self-efficacy can influence athletic performance, one must return to the core circuits through which the brain regulates fatigue and effort. Contemporary sports psychology has gradually moved away from the outdated view that “performance is determined solely by muscles,” shifting toward the Central Governor Model and the Psychobiological Model: the brain dynamically regulates muscle recruitment and the willingness to exercise based on current afferent signals, expected endpoints, and motivational states.

From a neural perspective, the core function of self-efficacy lies in the regulation of the perception of effort. Perceived effort is thought to originate from the “efference copy” generated when the motor cortex issues movement commands, which is then integrated by the anterior cingulate cortex (ACC) and insula to form a subjective sense of exertion. Self-efficacy modulates this sense of effort by altering attentional allocation, emotional interpretation, or top-down control from the prefrontal cortex—under the same physiological load, making the athlete feel “less tired,” thereby delaying the decision point to give up.

From a neurochemical perspective, self-efficacy involves the balance of dopamine, norepinephrine, and adenosine. Dopamine is associated with reward, motivation, and willingness to exert effort; adenosine accumulates during prolonged activity, increasing fatigue; and certain self-efficacy interventions (such as self-talk, mindfulness, music) can modulate the action of these neurotransmitters, altering the athlete’s tolerance threshold for fatigue.

The table below summarizes key psychological and neural variables related to self-efficacy:

It is worth emphasizing that these variables are highly coupled and cannot be manipulated independently. For example, enhancing motivation (dopamine) can reduce perceived effort, but excessive arousal may trigger anxiety and impair performance. This nonlinear, interactive nature is precisely why self-efficacy cannot be captured by a single slogan and must be addressed on an individualized basis.

Dose-Response Relationship

One of the core questions in sports psychology is the “dose-response” relationship: how much specific psychological training is needed to yield a given improvement in self-efficacy? The literature shows that this curve exhibits typical threshold effects and diminishing returns in the domain of self-efficacy and performance, and—just like physiological training—requires progression and periodization.

Subjective improvement is fastest during the initial intervention phase (first 6 weeks), because “learning to use” cognitive strategies precedes neural restructuring. Thereafter, a slower consolidation phase follows, requiring repeated practice under real fatigue and stress conditions before strategies can be automated to the point of reliable activation at critical moments in competition. Understanding this timeline helps prevent premature abandonment when immediate effects are not visible early on.

The table below summarizes expected effects across different intervention doses (median estimates synthesized from multiple studies; individual variability is high):

The key principles are progression, contextualization, and full integration. Unlike physiological adaptations, psychological skills must be practiced in real situations involving “stress and fatigue” to transfer to competition—meditation or imagery performed purely in a relaxed state is unlikely to activate automatically at the point of exhaustion. Research also cautions that excessive self-monitoring (e.g., constantly checking whether you are “focused enough”) can consume cognitive resources and generate new anxiety—a common overdosing trap in self-efficacy applications.

Furthermore, “effects” must be distinguished between immediate performance and long-term psychological well-being, as the two are not always aligned. Certain strategies that immediately extract performance (e.g., extreme fear-of-failure motivation) may undermine motivation and well-being in the long run, requiring coaches to weigh trade-offs carefully rather than chasing short-term numbers on paper.

Differences Across Populations

The “optimal application” of self-efficacy is not one-size-fits-all; it varies significantly with individual characteristics. Applying a single template while ignoring population differences is the most common mistake in amateur psychological training.

Beginners vs. Advanced Athletes: Beginners’ self-efficacy is typically less stable and more susceptible to external distractions and self-doubt; they therefore benefit most from foundational confidence-building and positive self-talk. Advanced athletes already possess a baseline of psychological skills and require more refined, context-specific strategy adjustments—such as switching attentional focus at specific stages of competition. Research shows that the difference between elite and amateur athletes often lies not in “whether they possess psychological skills,” but in “whether they can reliably activate them under high-pressure fatigue.”

Sex Differences: Research indicates average differences between men and women in the manifestation of anxiety, emotion-regulation preferences, and social-support needs. Female athletes report higher cognitive anxiety in some studies, but also tend to be more adept at utilizing social support and emotional expression strategies; males tend to favor problem-focused coping. These differences remind us that psychological prescriptions should account for individual preferences rather than applying gender stereotypes.

Age Differences: With age, emotion-regulation capacity and experiential wisdom typically improve, but sensitivity to digital social comparison, recovery needs, and sources of motivation also change. Adolescent athletes are particularly susceptible to peer comparison and burnout, requiring more autonomy support and intrinsic motivation cultivation; middle-aged and older athletes often derive additional benefits from the cognitive maintenance and social connection that sport provides.

The table below outlines adjustment priorities across populations:

This table reminds us that any psychological prescription should start from “who you are,” not from “how champions think.”

Practical Training Application

Theory that cannot be implemented is merely armchair speculation. Below is an actionable framework for translating academic findings on self-efficacy into daily training and competition preparation.

Step 1: Objectively Assess the Current State. Before any intervention, quantify your baseline psychological state. Even without laboratory equipment, HRV monitoring from a sports watch, standardized psychological scales (e.g., the Competitive State Anxiety Inventory-2, CSAI-2; sport psychological skills inventories), and training logs can provide sufficient reference baselines. What gets measured gets managed.

Step 2: Set a Single Psychological Goal. Focus on only one skill at a time. Trying to improve concentration, anxiety control, and self-talk simultaneously makes it impossible to determine what is working. A 4-week psychological training cycle is recommended, dedicating the period to deepening one skill to the point of automation.

Step 3: Practice Progressively in Context. Below is an example weekly structure:

Step 4: Integrate into Daily Routines. Improvements in self-efficacy often need to be embedded within existing warm-up, fueling, and sleep routines, becoming automated “routines” rather than additional burdens. Anchoring breathing regulation, self-talk, or imagery practice to fixed triggers (e.g., the start line, each aid station) can substantially increase the rate of automatic activation at critical moments.

Step 5: Reassess and Iterate. At the end of the cycle, re-measure, compare against baseline, and decide the next step. Remember individual variability—what works for others may not work for you. Objective data and bodily sensations must be weighed together; neither can be neglected.

Local Applications in Taiwan

Taiwan’s unique climate, terrain, and sports culture add distinctive variables to the application of self-efficacy and performance—particularly regarding confidence-building on Yangmingshan climbs.

The Psychological Amplification Effect of Hot, Humid Weather: Taiwan’s summer heat and humidity accelerate the rise in core body temperature, hastening physiological fatigue and amplifying perceived exertion, making psychological strategies even more critical. The aforementioned research identifies perceived exertion as the key determinant of whether to give up, and in Taiwan’s hot, humid long-distance sports, this sense of effort is significantly magnified. It is recommended to schedule high-quality psychological skill practice and key workouts during cooler morning or evening hours, and to rehearse “self-talk and attentional strategies under heat” in advance during training, so that race-day psychological collapse in high temperatures does not disrupt your rhythm.

Targeting Local Contexts: Confidence-building on Yangmingshan climbs is the most common psychological scenario Taiwanese athletes face. Whether it is the long solitude of extended climbs, the monotonous grind of headwinds along riverside paths, or the anxiety of wave starts at major events, each places specific demands on self-efficacy. Local athletes who design psychological rehearsals around these concrete situations—such as practicing segment goals and self-talk during Wuling climbs—often find this far more effective than abstract “mental toughness” advice.

Community Culture and Resources: Taiwan’s thriving team-ride and running-club culture provides an excellent arena for social support and collective psychological training. Leveraging group dynamics can amplify self-efficacy and persistence; however, social comparison on platforms (e.g., Strava) can also generate pressure and anxiety. Athletes are advised to return to the evidence-based framework presented here, harness the positive support functions of the community, while remaining vigilant against the psychological trap of excessive comparison.

Common Myths Debunked

Myth 1: “Self-efficacy is willpower—something you’re born with and can’t be trained.” Wrong. Numerous RCTs and longitudinal studies confirm that self-efficacy is a psychological skill that can be systematically improved through training, with a clear basis in neuroplasticity. It is not a fixed, innate trait.

Myth 2: “Mental training is only for the weak.” Wrong. Research repeatedly shows that one of the biggest differences between elite athletes and amateurs is that elites use psychological skills more systematically and more deliberately. Treating mental training as a sign of weakness is precisely the biggest competitive disadvantage.

Myth 3: “If you want it badly enough, you can overcome anything.” Partially true but overstated. Motivation matters, but relying excessively on excitement or fear of failure as a driver will, over the long term, harm well-being and sustainability. Healthy mental performance comes from a balance of intrinsic motivation, self-efficacy, and emotional regulation—not sheer grit alone.

Myth 4: “Feeling relaxed means you’re in a good mental state.” Subjective feelings matter but cannot be fully trusted. Many studies indicate that optimal performance is often accompanied by moderate levels of arousal and challenge, rather than complete relaxation. Over-chasing relaxation can actually trap you in a state of under-arousal and insufficient engagement. Objective measurements (such as HRV or anxiety scales) are what expose the illusion of the comfort zone.

Conclusion

The science of self-efficacy and performance tells us this: self-efficacy is not an abstract concept that can be summed up as “just have the right mindset.” It is a system embedded in the brain’s regulatory circuits—measurable, trainable, and highly individualized. Research from scholars such as Bandura, Cumming, and Baumeister repeatedly confirms three core principles—psychological benefits are real and measurable, individual differences matter most, and mechanisms matter more than slogans.

For athletes in Taiwan, real progress comes from patiently translating laboratory evidence into mental-training decisions that fit your own body, your own routes, your own climate, and your own culture. Rather than chasing motivational quotes and quick fixes on social media, it is better to build a measure–intervene–re-evaluate scientific loop, and week after week accumulate your own mental resilience and peak performance state in the real-world context of building climbing confidence on Yangmingshan.

Sport psychology is not about turning competition into a cold numbers game. It gives us a clearer pair of glasses to see how the brain makes choices amid fatigue, pressure, and desire. When scientific evidence and bodily sensations move in sync, breakthroughs in performance and long-term mental health can truly go hand in hand. That is the most valuable lesson that research on self-efficacy and performance offers to every sports enthusiast in Taiwan.

Related Reading

• Applications of Goal-Setting Theory in Cycling Climbing Training: Proximal vs. Distal Goal Research
• Research on the Benefits of Collective Efficacy in Team Racing
• A Survey of Taiwanese Cyclists’ Current Psychological Skills: Gap Analysis with International Elites
• The Benefits of Visualization Training on Motor Skill Learning Rates: A Neuroscience Validation Study