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Original Research

Presence of Spotters Improves Bench Press Performance: A Deception Study

Sheridan, Andrew1; Marchant, David C.1; Williams, Emily L.2; Jones, Hollie S.3; Hewitt, Phil A.4; Sparks, Andy1

Author Information
Journal of Strength and Conditioning Research: July 2019 - Volume 33 - Issue 7 - p 1755-1761
doi: 10.1519/JSC.0000000000002285
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Resistance exercise forms a considerable proportion of training loads for athletes and is increasingly prescribed by health professionals for recreational gym users (36). The popularity of resistance exercise is also increasing because of the visible physical benefits such as weight loss, increased muscle mass, and increased self-esteem (26). These beneficial adaptations are also linked to reduced visceral fat and increased insulin sensitivity (10,36). Such benefits have also shifted perceptions of the effectiveness of resistance exercise as a prescribed activity for the treatment and prevention of some noncommunicable diseases and for athletic training (32). Training adaptation goals, such as increasing muscular strength, power, endurance, and hypertrophy, require different training methods (1,31). The training outcome requires specific volume, intensity, and rest periods to bring about the desired skeletal muscle response (3). Increased evidence for the efficacy of resistance exercise for both health and sport performance has prompted an increase in research interest that has sought to investigate methods of further enhancing these beneficial training adaptations and performance.

Several studies have attempted to investigate the effects of the social interaction during resistance training programs. Indeed, social facilitation (41) and the presence of training partners, coaches, or personal trainers have previously been shown to improve strength and power after 12-week training programs (12,23). This has led to the commonly held belief that adherence and enjoyment of resistance exercise may be improved in more social situations, especially in less well-trained populations. In diabetic patients prescribed resistance exercise, the presence of additional individuals in the exercise environment has been shown to be facilitative (34). Conversely, in other types of exercise, such as individual endurance activities, the use of social situation effects has been shown to have no influence on self-determined running duration, speed, or postexercise ratings of perceived exertion (RPE), during recreational running (11). Interestingly however, when a competitor is present during time-trial cycling, performance improvements have been observed, as a result of external attentional focus-mediated reductions in perceptions of effort (39). Furthermore, the presence of a team-mate avatar, within a virtual exercise environment, facilitated self-paced rowing in female exercisers (25), suggesting that some individuals might feel additional pressure to seem skillful and competent, in the presence of others, and so perform better. At present, it is unclear whether such acute changes to performance occur during resistance exercise activities when the social situation is manipulated.

Strength and conditioning training requires significant mental effort, the characteristics of which influence movement quality and quantity and therefore related physiological adaptations (17). One such variable that drives effective physical effort is self-efficacy (40). Bandura's self-efficacy theory (6) suggests that self-judgment of personal capability has a critical influence on goal-directed behavior. Importantly, in training settings, one's self-efficacy influences both the amount of effort and the length of time that effort is invested (7). Furthermore, self-efficacy is a state variable that fluctuates in accordance with changing perceptions of the self, the task, and environment. Accordingly, Rhea et al. (27) showed that 1 repetition maximum (1RM) bench press performance was improved by 12.9% when participants underwent the test in the presence of an audience of spectators. The employment of such social facilitation effects may have important implications for training impulse and exercise adherence (29). Although the presence of an audience during a competitive situation seems to improve resistance exercise performance, it remains unclear whether the proximity of a small number of individuals has similar effects. This is important because most training sessions take place in either solo situations, or in the presence of a few training partners or spotters.

Currently, little is known about the effects of spotter presence on the individual performing the exercise. However, the National Strength and Conditioning Association (NSCA) recommends the use of spotters during resistance protocols (15) and there is a generally held belief that exercise with social facilitation is desirable (11). Wise et al. (40) demonstrated that exercise trainers could influence the self-efficacy of novice female exercisers to complete bench press exercise through highlighting their professional qualifications, providing specific feedback, and communicating beliefs about the exerciser's ability. Despite the important role of exercise trainers in instructing and supporting exercisers, less is known of their additional role within the strength training environment acting as a spotter. It is possible that the spotter not only has a social-facilitating effect on performance but also supports self-efficacy through behaviors explicitly highlighting their beliefs in the exerciser's ability to complete exercise movements. Conversely, the lack of any active intervention from the spotter may also influence self-efficacy. Therefore, the aim of this study was to determine the effect of the presence of spotters on performance and the psychophysiological responses during bench press exercise. It was hypothesized that the visual presence of spotters would lead to improved performance because of increased desire to perform mediated by associated social facilitation effects.


Experimental Approach to the Problem

An experimental design consisting of 3 laboratory visits was used. After the initial determination of 1RM, 2 subsequent experimental trials performed in a randomized cross-over manner were used. During the experimental trials, sets of bench press exercise to failure were performed, during which participant's awareness of the presence of spotters was manipulated. The chosen method to achieve this was through a deceptive approach, whereby in one of the trials, spotters were openly present and visible to the participants (spotter), whereas in the other trial, they remained present but hidden from view (deception). During the exercise bouts, dependent variables of performance, perceptions of effort, self-efficacy, and blood lactate were measured.


Twelve recreationally trained male participants (Table 1) were recruited for this study. All participants gave written informed consent before any data collection and then underwent pre-exercise medical screening. Participants had experience of resistance training for a minimum of 12 months and were training 4.6 ± 1.0 times per week. The participants were all injury-free for the past 6 months, of low health risk and data collection took place between January and March in the northern hemisphere. This study was approved by the local Department of Sport and Physical Activity Research Ethics Committee of Edge Hill University. The true deceptive nature and aim of the study was kept hidden from the participants. Participants were initially told that the aim of the study was to assess the test-retest reliability of the lifting protocol. After the completion of data collection, all participants were fully debriefed as to the true nature of the experiment.

Table 1.:
Mean (±SD) participant characteristics.*


Before the start of data collection, participants were told to avoid ingesting food within 2 hours of exercise and preworkout supplements. They were also instructed to limit caffeine consumption and to ensure that they were adequately hydrated by consuming at least 1 L of water in the 2–4 hours before testing, to reduce the negative impact of dehydration on resistance exercise performance (18). Participants were required to replicate this regimen on all subsequent laboratory visits using a 24-hour diet diary. During the first laboratory visit, all participants underwent body composition analysis using air displacement plethysmography (BodPod; Cosmed, Rome, Italy). Immediately, after this, the participants were required to demonstrate a safe unloaded bench press on a Smith machine (Hammer Strength; Life Fitness, Ely, United Kingdom). Participants then completed a 4-minute warm-up of low-intensity cycling against no additional resistance (874E; Monarch Exercise AB, Vansbro, Sweden) maintaining a speed of 70 rpm. Two sets of 10-second hold upper-body stretching were completed, of the chest, shoulders, and triceps muscle groups (37). To ensure consistent performances, and despite the participants being experienced, coaching points devised by the NSCA were given during the warm-up, before any testing (13). Bench press 1RM was then determined using the protocol standardized by the NSCA (24), which is widely used to measure maximal strength (4). This involved the performance of a 12-repetition warm-up set at 10% of estimated 1RM on a Smith machine (Hammer Strength, Life Fitness). On completion of the initial set, participants then rested for 1 minute before performing a 6-repetition set with an additional 20% load. Then, after a further 2-minute rest period, a final warm-up set of 3 repetitions (reps) with an estimated near-maximal load added was completed. An estimation of the 1RM was then made, and participants were allowed to attempt single lifts. If they were successful, 1.25, 2.5, or 5 kg was progressively added to the bar to determine the actual 1RM. Each lift attempt was completed after a 2- to 4-minute rest, and all 1RM's were determined within 3–6 attempts.

The participants were then required to attend the laboratory on 2 further occasions to perform either the spotter trial or the deception trial. In both trials, 2 spotters were present, 1 spotter at either side of the Smith machine bar, during lifts. In the spotter trial, their presence was made visually obvious to the participants, before and on completion of each set. In the deception trial, spotters remained in place only during the lifts but not visible to the participants, and then, moved to remain hidden from view during the rest periods between sets. This was achieved, using opaque material shielding around the Smith machine frame, which was in place during both experimental trials. This allowed the bar and weight plates to move freely, while obscuring the view of the spotters from the participants when needed. Participants were told that the shielding was to reduce the chances of peripheral distractions and were instructed to focus on a marker, which had been placed on the middle of the bar. During the trials, the same male principal investigator was visible to the participants, and the same male spotters were used for all trials.

The lifting protocols required participants to complete the same cycling and stretching warm-up outlined before the 1RM testing, followed by a set of 10 bench press reps with no weight on the bar, to limit the likelihood of injury (14) and attain maximal force output (35). The participants were then shown the loaded bar and told that this was 60% of their 1RM, after which they performed 3 sets of bench press reps to failure at 60% of 1RM unassisted with 2-minute rest periods between sets (38). This exercise protocol was chosen because it has previously been shown to have a low test-retest coefficient of variation (2.1–6.6%) and, therefore, has good reliability (16) and been previously used to determine performance differences in a similar population (24). The principle investigator recorded the number of reps in each set and the total weight lifted in each trial. No verbal encouragement was given to the participants. Before each set, the participants received the same scripted verbal instructions: (a) “Maintain your visual focus on the bar throughout each set,” (b) “Think about the movement of the bar,” and (c) “Lift to failure.” This was performed to maximize muscular endurance (21,22).

Capillary blood lactate concentrations were measured from the earlobe (Lactate Pro 2, Arkray, Kyoto, Japan) before the start of each trial and at the end of the third set. Ratings of perceived exertion and the local RPE (L-RPE) of the chest and arms were measured after the completion of each set using a 6–20 scale (9). Before the start of sets 2 and 3, rating of self-efficacy to replicate the performance of the previous set, during the next set, was assessed using a numeric 1–10 scale. This was anchored with 1 representing no confidence and 10 representing fully confident. At each measurement point, participants were asked “how confident are you that you will match the previous number of repetitions?” Each participant performed the trials with a minimum of 3 days between laboratory visits to minimize the effects of delayed onset muscle soreness (28) but not more than 7 days apart.

Statistical Analyses

All data were analyzed for normality using standard graphical procedures. Thereafter, main effects for experimental condition, set, and condition × set interactions were determined using repeated-measures analysis of variance (ANOVA) for the number of reps, RPE, L-RPE, blood lactate, and self-efficacy. Post hoc pairwise comparisons were made using the Bonferroni adjustment where main effects were observed. Comparisons between experimental conditions were made using paired t tests for the total number of reps per trial and the total weight lifted, as well as to determine differences at each measurement point for all variables. Effect sizes were determined using for ANOVA and Cohen's d for paired t tests, along with 95% confidence intervals (CIs). Effect sizes were categorized as small, medium, and large effects using values of 0.01, 0.06, and 0.14 for and 0.2, 0.5, and 0.8 for Cohen's d, respectively. Statistical significance was regarded as p ≤ 0.05, and all procedures were conducted using SPSS version 22 for Windows (IBM Inc., Portsmouth, United Kingdom).


The visible presence of the spotters resulted in a significant increase in the total number of reps (Figure 1) and the total weight lifted (Figure 2) during the 2 conditions (mean difference = 4.5 reps, CI = 2.8–6.2, t = 5.68, p < 0.001, d = 1.64 and mean difference = 209.63 kg, CI = 128.0–291.2, t = 5.65, p < 0.001, d = 1.63, respectively). Furthermore, there was a significant main effect of the spotters present across all 3 sets (f = 32.2, p < 0.001, = 0.75), with the deception trial resulting in significantly poorer performances in all 3 (mean difference = 1.42 reps, t = 2.49, p = 0.03, d = 0.72; mean difference = 1.83 reps, t = 5.70, p < 0.001, d = 1.64; and mean difference = 1.25 reps, t = 3.56, p = 0.004, d = 1.03 for sets 1, 2, and 3, respectively). There was also a significant main effect for the number of reps performed in each set (f = 87.3, p < 0.001, = 0.89), with the number of reps performed reducing through each trial (mean differences = 6.3, 3.2, and 9.5 reps, p < 0.001, for sets 1–2, sets 2–3, and sets 1–3, respectively). When data were reorganized to reflect trial 1 vs. trial 2, no trial order effect was detected for total number of reps performed (mean difference = 0.50 reps, CI = −2.9 to 3.9, t = 0.32, p = 0.755, d = 0.07). The blood lactate responses (Table 2) were significantly higher in the spotter condition after the completion of the 3 sets (mean difference = 1.19 mmol·L−1, CI = 0.23–2.16, t = 2.72, p = 0.002, d = 0.78) but not before the start of exercise (mean difference = 0.05 mmol·L−1, CI = −0.13 to 0.23, t = 0.61, p = 0.56, d = 0.18). This resulted in significant main effects for condition (f = 7.74, p = 0.018, = 0.41), time (f = 294.01, p < 0.001, = 0.96), and a condition × time interaction (f = 6.54, p = 0.027, = 0.37).

Figure 1.:
Mean (±SEM) bench press repetition performance. *Significantly higher number of repetitions between conditions (p ≤ 0.05) and Δsignificant reduction in repetitions from the previous set (p < 0.001).
Figure 2.:
Individual and mean (±SEM) total weight lifted during bench press performance. *Significant difference between conditions (p ≤ 0.05).
Table 2.:
Mean (±SD) of all psychophysiological variables.*

Ratings of perceived exertion (Table 2) were significantly higher in the deception condition when spotters were not visible (f = 6.16, p = 0.03, and = 0.36) in set 1 (mean difference = 0.83 astronomical unit [AU], CI = −1.64 to −0.03, t = 2.28, p = 0.044, and d = 0.66) and set 2 (mean difference = 1.00 AU, CI = −1.86 to −0.14, t = 2.57, p = 0.026, and d = 0.74) but not in set 3 (mean difference = 0.50 AU, CI = −1.29 to 0.29, t = 1.39, p = 0.191, and d = 0.40). As the sets progressed, RPE significantly increased in both conditions (f = 54.44, p < 0.001, and = 0.83). Similar responses were observed for L-RPE (Table 2), with significant main effects for condition (f = 5.89, p = 0.034, and = 0.35), and sets (f = 113.11, p < 0.001, and = 0.91). The L-RPE was significantly higher in the deception trial after set 1 (mean difference = 1.08 AU, CI = −1.96 to −0.21, t = 2.72, p = 0.02, and d = 0.79) but not after set 2 (mean difference = 0.58 AU, CI = −1.46 to 0.29, t = 1.47, p = 0.171, and d = 0.42) or set 3 (mean difference = 0.75 AU, CI = −1.69 to 0.19, t = 1.75, p = 0.108, and d = 0.51). Self-efficacy was significantly higher in the spotter condition (f = 26.90, p < 0.001, and = 0.69), both after set 1 (mean difference = 1.85 AU, CI = 0.83–2.86, t = 3.97, p = 0.002, and d = 1.21) and set 2 (mean difference = 1.31 AU, CI = 0.64–1.98, t = 4.25, p = 0.001, and d = 1.31), but there were no significant within-trial changes to the self-efficacy ratings, as the sets progressed (f = 0.67, p = 0.43, and = 0.05) in either condition.


This is the first study to investigate the influence of the presence of spotters on resistance exercise performance, using a deceptive strategy. This type of experimental design allowed the presence of the spotters to remain during the exercise trials while obscuring them from the view of the participants. On completion of both trials, during the debriefing process, all participants confirmed that they had been unaware of the true nature of the study and had not detected the spotters during the deception condition. The performance of 3 sets of bench press exercise to failure, at 60% 1RM in trained participants, was increased by 11.2 ± 8.1%, for both number of reps and total work when spotters are visible. Interestingly, 11 of the 12 participants performed best in the spotter condition (5.3–30.7% improvement range), and the participant who did not, performed identically in both conditions. This observed performance improvement occurred independently of a trial order effect and the percentage improvement of which was larger than the previously observed intertrial reliability, suggesting a significant and measurable improvement when spotters are present. Furthermore, it would seem that postset RPE significantly decreased after the first 2 sets, and ratings of self-efficacy were considerably enhanced when spotters were obviously present. These findings show the acute effects of the close proximity of a small number of people during lifts, whereas previous work has demonstrated the chronic effects on adherence to training (12,23,34) or the effects of an audience during a competitive situation (27). These findings are important because they demonstrate that performance, and therefore, training impulse may be enhanced with the presence of close observers, documenting for the first time that the perceived absence of these individuals has a negative impact on total work performed.

The influence of spotters on lifting performance seems to be derivative of social-cognitive and perceptual variables, specifically through supporting positive self-efficacy toward the task and lower perceptions of effort. In this study, self-efficacy was enhanced with the presence of the spotters supporting the assertion that the verbal and nonverbal communication from others influences self-efficacy beliefs (30). Although the spotters did not provide verbal encouragement, their physical behavior explicitly acts on social persuasive mechanisms proposed to support self-efficacy (5,6). Their active intervention in the lift indicates a judgment on the limit of the lifter's ability. As such, when the participant is aware of the spotters' nonintervention, this supports the self-efficacy by confirming the belief in their ability to continue. Consequently, participants then invest further effort to improve their performance, which caused greater increases in blood lactate concentrations at the end of the spotter trials. A proposed theoretical mechanism to explain these effects is through relation-inferred self-efficacy (RISE) that is influenced by verbal and nonverbal behavior (30). In the present context, Lent and Lopez's conceptual model (20) proposes that RISE is generated through the lifter's perceptions of interpersonal cues from the spotter. By not intervening, this is interpreted as the spotters' confidence in the participant's ability to continue with the exercise. The social-cognitive environment, within which strength and conditioning training is undertaken, is a key consideration when aiming to maximize performance (8).

The effect of the mere presence of others on performance, according to social facilitation theory, tends to be weak (33). However, the nature of the interaction and behavior of the social influence are suggested to be important mediating factors of the social facilitative effect. According to social impact theory, the impact of social presence on emotions and behavior is determined by multiplicative “social forces” including size (1 or more people present), immediacy (proximity), and social source strength (importance) (19). In this study, when both spotters were visibly present to the participants, they remained in close proximity of the bar throughout the exercise bouts and rest periods. During this period, the investigator also remained in view, further increasing the number of individuals that were present and reinforcing the importance of the task at the start of each set. Clearly, the behavior of the investigator remained consistent in every trial, so it is perhaps more likely that the factor that seems to have facilitated improvements in performance in the spotter conditions are more strongly linked to the number and proximity social forces. In conditions where the audience or the number of individuals present increases, there is a greater impact on emotions and behavior (27). Individuals tend to have a pervasive desire to be viewed in a positive light and will engage in impression management behaviors to achieve this (2). As the presence of people increases, there is an increased tendency to manage these impressions. In this study, the participants all had experience of weight training and may have, therefore, had a greater desire to be perceived as competent in the task, when the researcher and spotters were both visibly present. To manage and satisfy this impression of competency, an increase in effort would be a likely strategy and, therefore, support the findings of a better performance attained in the spotter condition.

The proximity of the social presence has also been found to moderate the effect of social size on emotions and behaviors (2). Partially interactive social influences may have a different effect than noninteractive (audience) or active (competitor or coactor) influences. The interaction may be based on verbal/nonverbal communication or behavior of the social presence. A spotter is suggested to be present in a number of resistance exercise settings (15) and acts as a partially active social influence, whereas an audience/spectator is nonactive without direct interaction and can be classed as “mere presence.” This could explain the greater magnitude of the effect of spotters on performance, SE, and RPE in this study vs. the smaller or trivial effects previously found in research exploring audience effects (33).

Similar performance improvements have been previously observed in 12-week training program interventions, using direct supervision of youth rugby league players (12) and moderately resistance trained men (23). Notably, this study suggests that the close proximity of spotters influences the performance of bench press exercise, but the nature and role of the individuals that are present during such activities might also be important in potentially enhancing training impulse (12,23). Future studies should therefore investigate the presence of spotters on a wider variety of resistance exercise activities but more crucially, the nature, behavior, and interaction of the spotter with the athlete/client.

Practical Applications

Improved performance of bench press exercise to failure is mediated by perceptions of spotter presence. Therefore, coaches and exercise professionals should ensure that their athletes or clients perform resistance exercise in the proximity of others, ideally in a spotting role. This is not just because of the potential safety benefits, but also because this is likely to cause an observable improvement in total work performed, which occurs with enhanced self-efficacy and reduced ratings of effort. This has important implications for measurements of exercise capacity, client self-efficacy, and those using this type of exercise protocol as a performance criterion.


All works were conducted in the sport and exercise science laboratories of the Department of Sport and Physical Activity at Edge Hill University. No external funding was provided for this work. The authors have no conflicts of interest to disclose.


1. Arazi H, Mirzaei B, Heidari N. Neuromuscular and metabolic responses to three different resistance exercise methods. Asian J Sports Med 5: 30–38, 2013.
2. Argo JJ, Dahl DW, Manchanda RV. The influence of a mere social presence in a retail context. J Consum Res 32: 207–212, 2005.
3. Baker JS, Davies B, Cooper SM, Wong DP, Buchan DS, Kilgore L. Strength and body composition changes in recreationally strength-trained individuals: Comparison of one versus three sets resistance-training programmes. Biomed Res Int 2: 1–6, 2013.
4. Baechle TR, Earle RW, Wathen D. Resistance training. In: Essentials of Strength Training and Conditioning. Baechle TR, Earle RW, eds. Champaign, IL: Human Kinetics, 2008. pp. 381–412.
5. Bandura A. Self-efficacy: Toward a unifying theory of behavioral change. Psychol Rev 84: 191–215, 1977.
6. Bandura A. Self-Efficacy: The Exercise of Control. New York, NY: Freeman and Co, 1997. pp. 1–35.
7. Bandura A. Exercise of Personal Agency Through the Self-Efficacy Mechanism. In: Schwarzer, R. Self-Efficacy: Thought Control of Action. Washington, DC: Hemisphere Publishing Corp. 1992. pp. 3–38.
8. Booth ML, Owen N, Bauman A, Clavisi O, Leslie E. Social–cognitive and perceived environment influences associated with physical activity in older Australians. Prev Med 31: 15–22, 2000.
9. Borg GAV. Borg's Rating of Perceived Exertion and Pain Scales. Champaign, IL: Human Kinetics, 1998. pp. 105–106.
10. Bweir S, Al-Jarrah M, Almalty AM, Maayah M, Smirnova IV, Novikova L, Stehno-Bittel L. Resistance exercise training lowers HbA1c more than aerobic training in adults with type 2 diabetes. Diabetol Metab Synd 10: 1–27, 2009.
11. Carnes AJ, Petersen JL, Barkley JE. Effects of peer influence on exercise behavior and enjoyment in recreational runners. J Strength Cond Res 30: 497–503, 2016.
12. Coutts AJ, Murphy AJ, Dascombe BJ. Effects of direct supervision of a strength coach on measures of muscular strength and power in young rugby league players. J Strength Cond Res 18: 316–323, 2004.
13. Cramer JT, Coburn JW. Fitness Testing Protocols and Norms. In: Earle, RW, and Baechle, TR, eds. The Essentials of Personal Training. Champaign, IL: Human Kinetics, 2004. pp. 217–264.
14. Fradkin AJ, Gabbe BJ, Cameron PA. Does warming up prevent injury in sport? The evidence from randomised controlled trials? J Sci Med Sport 9: 214–220, 2006.
15. Fry A. Weight room safety. NSCA J 7: 32–33, 1985.
16. González-Badillo JJ, Yaňez-García JM, Mora-Custodio R, Rodríguez-Rosell D. Velocity loss as a variable for monitoring resistance exercise. Int J Sports Med 38: 217–225, 2017.
17. Ives JC, Shelley GA. Psychophysics in functional strength and power training: Review and implementation framework. J Strength Cond Res 17: 177–186, 2003.
18. Judelson DA, Maresh CM, Farell MJ, Yamamoto LM, Armstrong LE, Kraemer WJ, Volek JS, Spiering BA, Casa DJ, Anderson JM. Effect of hydration state on strength, power, and resistance exercise performance. Med Sci Sports Exerc 39: 1817–1824, 2007.
19. Latané B. The psychology of social impact. Am Psychol 36: 343–356, 1981.
20. Lent RW, Lopez FG. Cognitive ties that bind: A tripartite view of efficacy beliefs in growth-promoting relationships. J Social Clin Psychol 21: 256–286, 2002.
21. Marchant D, Greig M, Scott C. Attentional focusing instructions influence force production and muscular activity during isokinetic elbow flexions. J Strength Cond Res 23: 2358–2366, 2009.
22. Marchant D, Greig M, Bullough J, Hitchen D. Instructions to adopt an external focus enhance muscular endurance. Res Q Exerc Sport 82: 466–473, 2011.
23. Mazzetti SA, Kraemer WJ, Volek JS, Duncan ND, Ratamess NA, Gomez AL, Newton RU, Häkkinen K, Fleck SJ. The influence of direct supervision of resistance training on strength performance. Med Sci Sports Exerc 32: 1175–1184, 2000.
24. Mosher SL, Sparks SA, Williams EL, Bentley DJ, Mc Naughton LR. Ingestion of a nitric oxide enhancing supplement improves resistance exercise performance. J Strength Cond Res 30: 3520–3524, 2016.
25. Murray EG, Neumann DL, Moffitt RL, Thomas PR. The effects of the presence of others during a rowing exercise in a virtual reality environment. Psych Sport Exerc 22: 328–336, 2016.
26. Phillips SM. Resistance exercise: Good for more than just grandma and grandpa's muscles. J Appl Physiol Nutr Metab 32: 1198–1205, 2007.
27. Rhea MR, Landers DM, Alvar BA, Arent SM. The effects of competition and the presence of an audience on weight lifting performance. J Strength Cond Res 17: 303–306, 2003.
28. Rodas G, Ventura JL, Cadefau JA, Cussó R, Parra J. A short training programme for the rapid improvement of both aerobic and anaerobic metabolism. Eur J Appl Physiol 82: 480–486, 2000.
29. Ryan RM, Kuhl J, Deci EL. Nature and autonomy: An organizational view of social and neurobiological aspects of self-regulation in behavior and development. Dev Psychopathol 9: 701–728, 1997.
30. Saville PD, Bray SR. Athletes' perceptions of coaching behaviour, relation-inferred self-efficacy (RISE), and self-efficacy in youth sport. J Appl Sport Psychol 28: 1–13, 2016.
31. Schoenfeld BJ, Ratamess NA, Peterson MD, Contreras B, Sonmez GT, Alvar BA. Effects of different volume-equated training loading strategies on muscular adaptations in well-trained men. J Strength Cond Res 28: 2909–2918, 2014.
32. Shaw BS, Shaw I, Brown G. Resistance exercise is medicine: Strength training in health promotion and rehabilitation. Int J Ther Rehab 22: 385–389, 2015.
33. Strauss B. Social facilitation in motor tasks: A review of research and theory. Psychol Sport Exerc 3: 237–256, 2002.
34. Tulloch H, Sweet SN, Fortier M, Capstick G, Kenny GP, Sigal RJ. Exercise facilitators and barriers from adoption to maintenance in the diabetes aerobic and resistance exercise trial. Can J Diabetes 37: 367–374, 2013.
35. Vossen JF, Kramer JE, Burke DG, Vossen DP. Comparison of dynamic push-up training and plyometric push-up training on upper-body power and strength. J Strength Cond Res 14: 248–253, 2000.
36. Westcott WL, Winett RA, Annesi JJ, Wojcik JR, Anderson ES, Madden PJ. Prescribing physical activity: Applying the ACSM protocols for exercise type, intensity, and duration across three training frequencies. Physician Sportsmed 37: 51–58, 2009.
37. Wilcox J, Larson R, Brochu KM, Faigenbaum AD. Acute explosive-force movements enhance bench-press performance in athletic men. Int J Sports Physiol Perform 1: 261–269, 2006.
38. Willardson JM, Burkett LN. The effect of rest interval length on bench press performance with heavy vs. light loads. J Strength Cond Res 20: 396–399, 2006.
39. Williams EL, Jones HS, Sparks SA, Marchant DC, Midgley AW, McNaughton LR. Competitor presence reduces internal attentional focus and improves 16.1 km cycling time trial performance. J Sci Med Sport 18: 486–491, 2015.
40. Wise JB, Posner AE, Walker GL. Verbal messages strengthen bench press efficacy. J Strength Cond Res 18: 26–29, 2004.
41. Zajonc RB. Social facilitation. Science 149: 269–274, 1965.

resistance exercise; training; social facilitation; self-efficacy

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