During the 1990’s, two professors decided to test out a radical, revolutionary treatment approach for losing weight. Hundreds of overweight subjects were given a diet and exercise program to follow, but only half were given the special treatment.
After 6 months, only 24 percent of the control group had lost weight, but 66 percent of the people receiving the treatment were successful! (1)
What was this amazing treatment?
Numerous studies have come to the same conclusions (1-3). Another study found that when people exercised alone, 43% ended up giving up and quitting their exercise routine. When people exercised with a companion, only 6.3% ended up quitting (3).
Epidemiologists have found that fitness spreads through social networks in a manner similar to a flu virus (4-7).
How is this possible?
In the early 1990’s, an anthropologist named Robert Dunbar began to notice an interesting phenomenon. Examining the brains of different primate species revealed that the size of the most advanced brain regions were correlated with the size of the primate’s tribe (8-10). The larger the tribe, the more developed the brain regions were that are responsible for controlling impulses. Based off of this finding, anthropologists theorized that our peers have a direct effect on our self-control.
Was this theory correct?
Many studies over the past few decades have supported this theory. Brain scans have demonstrated that merely telling subjects that they are being watched by others activates areas of the brain responsible for impulse control (11-12).
Even the illusion of being watched, such as pictures of eyes, is enough to cause people to litter less (13-16), steal less (17-18), wash their hands more (19), and assist others (20).
When we make a commitment to other people, we are exponentially more likely to follow through than when we make a commitment only to ourselves (21-37). For example, one study found that individuals who made their New Year’s resolutions public were ten times more likely to succeed than those who kept their resolutions to themselves (21).
In all types of endeavors, ranging from stuffing envelopes to quitting smoking to exercising, people try harder when they are in a group than when they are alone (38-46).
Conclusion: Group Training Increases Self-Control and Causes People to Work Harder
The benefits of group training extend beyond the effects on self-control. Exercise responds best to group activities even better than other activities due to additional mechanisms. One study found that people who were exercising in a group experienced an increased endorphin production and twice as high of a pain threshold as people exercising alone (47).
Another study found that people who were being verbally encouraged by peers experienced increase muscle activation (48).
Conclusion: Group Training Allows People to Push Themselves Closer to their Physical Limits
Not only do people work harder while in groups, but they enjoy it more as well. According to research, experiences that are boring or difficult but experienced with others are later remembered to be more enjoyable than experiences that are easy or exciting but completed in isolation (51).
Conclusion: Group Training is More Fun
Unfortunately, many individuals are hesitant to invest the time and energy into an exercise routine because they are worried that they will ultimately fail and have wasted their time. When obstacles arise, this lack of confidence can lead these people to give up. Not surprisingly, much research has found that this confidence is a major factor in who ultimately is able to stick to an exercise regimen (60-66) and lose weight (67).
One of the best ways to improve confidence is to train in a group. When we see our friends and family succeed, we become more confident that we too can be successful (53-59), and this confidence allows us to push ourselves harder and persevere in the face of obstacles.
Conclusion: Group Training Boosts Confidence and Perseverance
Another important benefit of group training is the affordability of working with a coach. Research has shown that compare to those who exercise alone, subjects who work with a coach lose more fat, build more muscle, gain more strength, improve endurance more, and are more likely to prevent injury (68-74).
Group training makes working with a coach dramatically more affordable. For example, rather than one client paying $80/hour, there may be eight clients paying $10/hour. This way, clients can still gain access to much-needed coaching at affordable rates.
Conclusion: Group Training is More Affordable
Next time you try to lose weight or improve your fitness, don’t do it alone. Finding one or more like-minded individuals with similar goals to train with may be one of the most important steps you can take towards improving your results and making progress towards your goals.
1 Wing, R. R., & Jeffery, R. W. (1999). Benefits of recruiting participants with friends and increasing social support for weight loss and maintenance. Journal of consulting and clinical psychology, 67(1), 132. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/10028217
2 Neil Thomas, G., Macfarlane, D. J., Guo, B., Cheung, B. M., McGhee, S. M., Chou, K. L., … & Tomlinson, B. (2012). Health promotion in older Chinese: A 12-month cluster randomized controlled trial of pedometry and peer support. Medicine and science in sports and exercise. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/22143109
3 Wallace, J. P., Raglin, J. S., & Jastremski, C. A. (1995). Twelve month adherence of adults who joined a fitness program with a spouse vs without a spouse. The Journal of sports medicine and physical fitness, 35(3), 206-213. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/8775648
4 Centola, D. (2011). An experimental study of homophily in the adoption of health behavior. Science, 334(6060), 1269-1272. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/22144624
5 Fowler, J. H., & Christakis, N. A. (2008). Estimating peer effects on health in social networks: A response to Cohen-Cole and Fletcher; Trogdon, Nonnemaker, Pais. Journal of health economics, 27(5), 1400. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2597062/
6 Gorin, A. A., Wing, R. R., Fava, J. L., Jakicic, J. M., Jeffery, R., West, D. S., … & DiLillo, V. G. (2008). Weight loss treatment influences untreated spouses and the home environment: evidence of a ripple effect. International Journal of Obesity, 32(11), 1678-1684. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/18762804
7 Mahboobeh Ghesmaty Sangachin, Mohammadreza Samadi, Lora A. Cavuoto. Modeling the Spread of an Obesity Intervention through a Social Network. Journal of Healthcare Engineering, 2014; 5 (3): 29. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/25193369
8 Dunbar, R. I. (2009). The social brain hypothesis and its implications for social evolution. Annals of human biology, 36(5), 562-572. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/19575315
9 Silk, J. B. (2007). Social components of fitness in primate groups. Science, 317(5843), 1347-1351. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/17823344
10 Sawaguchi, T. (1988). Correlations of cerebral indices for’extra’cortical parts and ecological variables in primates. Brain, behavior and evolution, 32(3), 129-140. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/3143467
11 Pfeifer, J. H., Masten, C. L., Borofsky, L. A., Dapretto, M., Fuligni, A. J., & Lieberman, M. D. (2009). Neural correlates of direct and reflected self‐appraisals in adolescents and adults: When social perspective‐taking informs self‐perception. Child development, 80(4), 1016-1038. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/19630891
12 Ochsner, K. N., Beer, J. S., Robertson, E. R., Cooper, J. C., Gabrieli, J. D., Kihsltrom, J. F., & D’Esposito, M. (2005). The neural correlates of direct and reflected self-knowledge. Neuroimage, 28(4), 797-814.
Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/16290016
13 Ernest-Jones, M., Nettle, D., & Bateson, M. (2011). Effects of eye images on everyday cooperative behavior: a field experiment. Evolution and Human Behavior, 32(3), 172-178. Retrieved from http://psycnet.apa.org/index.cfm?fa=search.displayRecord&UID=2011-08073-003
14 Bateson, M., Callow, L., Holmes, J. R., Roche, M. L. R., & Nettle, D. (2013). Do images of ‘watching eyes’ induce behaviour that is more pro-social or more normative? A field experiment on littering. PloS one, 8(12), e82055. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3855385/
15 Francey, D., & Bergmüller, R. (2012). Images of eyes enhance investments in a real-life public good. PLoS One, 7(5), e37397. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/22624026
16 Bateson, M., Robinson, R., Abayomi-Cole, T., Greenlees, J., O’Connor, A., & Nettle, D. (2015). Watching eyes on potential litter can reduce littering: evidence from two field experiments. PeerJ, 3, e1443. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/26644979
17 Bateson, M., Nettle, D., & Roberts, G. (2006). Cues of being watched enhance cooperation in a real-world setting. Biology letters, 2(3), 412-414. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/17148417
18 Nettle, D., Nott, K., & Bateson, M. (2012). ‘cycle thieves, we are watching you’: impact of a simple signage intervention against bicycle theft. PloS one, 7(12), e51738. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3520908/
19 King, D., Vlaev, I., Everett-Thomas, R., Fitzpatrick, M., Darzi, A., & Birnbach, D. J. (2016). “Priming” hand hygiene compliance in clinical environments. Health Psychology, 35(1), 96. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/26214075
20 Haley, K. J., & Fessler, D. M. (2005). Nobody’s watching?: Subtle cues affect generosity in an anonymous economic game. Evolution and Human behavior, 26(3), 245-256. Retrieved from http://psycnet.apa.org/psycinfo/2005-05624-003
21 Norcross, J. C., Mrykalo, M. S., & Blagys, M. D. (2002). Auld lang Syne: Success predictors, change processes, and self‐reported outcomes of New Year’s resolvers and nonresolvers. Journal of Clinical Psychology, 58(4), 397-405. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/11920693
22 Ward, P., & Carnes, M. (2002). EFFECTS OF POSTING SELF‐SET GOALS ON COLLEGIATE FOOTBALL PLAYERS’SKILL EXECUTION DURING PRACTICE AND GAMES. Journal of Applied Behavior Analysis, 35(1), 1-12. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1284356/
23 Tedeschi, J. T., Schlenker, B. R., & Bonoma, T. V. (1971). Cognitive dissonance: Private ratiocination or public spectacle?. American Psychologist, 26(8), 685. Retrieved from http://psycnet.apa.org/psycinfo/1972-10747-001
24 Werner, C. M., Turner, J., Shipman, K., Twitchell, F. S., Dickson, B. R., Bruschke, G. V., & Wolfgang, B. (1995). Commitment, behavior, and attitude change: An analysis of voluntary recycling. Journal of Environmental Psychology, 15(3), 197-208. Retrieved from http://psycnet.apa.org/psycinfo/1996-18642-001
25 Katzev, R. D., & Johnson, T. R. (1984). Comparing the Effects of Monetary Incentives and Foot‐in‐the‐Door Strategies in Promoting Residential Electricity Conservation. Journal of Applied Social Psychology, 14(1), 12-27. Retrieved from http://psycnet.apa.org/psycinfo/1984-32986-001
27 Nelson, Z. P., & Mowry, D. D. (1976). Contracting in crisis intervention. Community mental health journal, 12(1), 37-44. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/954395
28 Moriarty, T. (1975). Crime, commitment, and the responsive bystander: Two field experiments. Journal of Personality and Social Psychology, 31(2), 370. Retrieved from http://psycnet.apa.org/journals/psp/31/2/370/
29 Putnam, D. E., Finney, J. W., Barkley, P. L., & Bonner, M. J. (1994). Enhancing commitment improves adherence to a medical regimen. Journal of Consulting and Clinical Psychology, 62(1), 191. Retrieved from http://psycnet.apa.org/journals/ccp/62/1/191/
30 Burn, S. M., & Oskamp, S. (1986). Increasing community recycling with persuasive communication and public
31 Greenwald, A. G., Carnot, C. G., Beach, R., & Young, B. (1987). Increasing voting behavior by asking people if they expect to vote. Journal of Applied Psychology, 72(2), 315. Retrieved from http://psycnet.apa.org/journals/apl/72/2/315/
32 Becker, H. S. (1960). Notes on the concept of commitment. American journal of Sociology, 32-40. Retrieved from http://psycnet.apa.org/psycinfo/1961-00741-001
33 Cioffi, D., & Garner, R. (1996). On doing the decision: Effects of active versus passive choice on commitment and self-perception. Personality and Social Psychology Bulletin, 22(2), 133-147. Retrieved from http://psycnet.apa.org/psycinfo/1996-02777-003
34 De Leon, I. G., & Fuqua, R. W. (1995). The effects of public commitment and group feedback on curbside recycling. Environment and Behavior, 27(2), 233-250. Retrieved from http://psycnet.apa.org/psycinfo/1995-23506-001
35 Allison, S. T., & Messick, D. M. (1988). The feature-positive effect, attitude strength, and degree of perceived consensus. Personality and Social Psychology Bulletin, 14(2), 231-241. Retrieved from http://psycnet.apa.org/psycinfo/1989-15453-001
36 Fazio, R. H., Sherman, S. J., & Herr, P. M. (1982). The feature-positive effect in the self-perception process: Does not doing matter as much as doing?. Journal of Personality and Social Psychology, 42(3), 404. Retrieved from http://psycnet.apa.org/journals/psp/42/3/404/
37 Schienker, B. R., Dlugolecki, D. W., & Doherty, K. (1994). The impact of self-presentations on self-appraisals and behavior: The power of public commitment. Personality and Social Psychology Bulletin, 20(1), 20-33. Retrieved from http://psycnet.apa.org/psycinfo/1994-25328-001
38 Irwin, B. C., Scorniaenchi, J., Kerr, N. L., Eisenmann, J. C., & Feltz, D. L. (2012). Aerobic exercise is promoted when individual performance affects the group: a test of the Kohler motivation gain effect. Annals of Behavioral Medicine, 44(2), 151-159. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/22576339
39 Feltz, D. L., Kerr, N. L., & Irwin, B. C. (2011). Buddy up: The Köhler effect applied to health games. Journal of Sport and Exercise Psychology, 33(4), 506. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/21808077
40 Feltz, D. L., Forlenza, S. T., Winn, B., & Kerr, N. L. (2014). Cyber buddy is better than no buddy: A test of the Köhler Motivation Effect in exergames. GAMES FOR HEALTH: Research, Development, and Clinical Applications, 3(2), 98-105. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/26196051
41 Irwin, B. C., Feltz, D. L., & Kerr, N. L. (2013). Silence is golden: Effect of encouragement in motivating the weak link in an online exercise video game. Journal of medical Internet research, 15(6). Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/23732514
42 Carr, P. B., & Walton, G. M. (2014). Cues of working together fuel intrinsic motivation. Journal of Experimental Social Psychology, 53, 169-184. doi:10.1016/j.jesp.2014.03.015
43 Triplett, N. (1898). The dynamogenic factors in pacemaking and competition. The American journal of psychology, 9(4), 507-533. Retrieved from http://psycnet.apa.org/psycinfo/1926-00161-001
44 Kahn, E. B., Ramsey, L. T., Brownson, R. C., Heath, G. W., Howze, E. H., Powell, K. E., … & Corso, P. (2002). The effectiveness of interventions to increase physical activity: A systematic review. American journal of preventive medicine, 22(4), 73-107. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/11985936
45 Osborn, K. A., Irwin, B. C., Skogsberg, N. J., & Feltz, D. L. (2012). The Köhler effect: Motivation gains and losses in real sports groups. Sport, Exercise, and Performance Psychology, 1(4), 242. Retrieved from http://psycnet.apa.org/psycinfo/2012-03825-001/
46 Desender, K., Beurms, S., & Van den Bussche, E. (2016). Is mental effort exertion contagious?. Psychonomic bulletin & review, 23(2), 624-631. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/26265430
47 Cohen, E. E., Ejsmond-Frey, R., Knight, N., & Dunbar, R. I. (2010). Rowers’ high: behavioural synchrony is correlated with elevated pain thresholds. Biology Letters, 6(1), 106-108. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/19755532
48 Amagliani, R. M., Peterella, J. K., & Jung, A. P. (2010). Type of encouragement influences peak muscle force in college-age women. International journal of exercise science, 3(4), 165. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738869/
49 Wienke, B., & Jekauc, D. (2016). A Qualitative Analysis of Emotional Facilitators in Exercise. Frontiers in Psychology, 7. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/27621718
50 Phillips, L. A., Chamberland, P. É., Hekler, E. B., Abrams, J., & Eisenberg, M. H. (2016). Intrinsic rewards predict exercise via behavioral intentions for initiators but via habit strength for maintainers. Sport, Exercise, and Performance Psychology, 5(4), 352. Retrieved from http://psycnet.apa.org/psycinfo/2016-41700-001/
51 Boothby, E. J., Clark, M. S., & Bargh, J. A. (2014). Shared experiences are amplified. Psychological science, 25(12), 2209-2216. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/25274583
52 Duckworth, A. L., Peterson, C., Matthews, M. D., & Kelly, D. R. (2007). Grit: perseverance and passion for long-term goals. Journal of personality and social psychology, 92(6), 1087. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/17547490
53 Hofstetter, C. R., Hovell, M. F., & Sallis, J. F. (1990). Social learning correlates of exercise self-efficacy: Early experiences with physical activity. Social Science & Medicine, 31(10), 1169-1176. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/2274805
54 Prussia, G. E., & Kinicki, A. J. (1996). A motivational investigation of group effectiveness using social-cognitive theory. Journal of Applied Psychology, 81(2), 187. Retrieved from http://psycnet.apa.org/journals/apl/81/2/187/
55 Shah, J. (2003). Automatic for the people: how representations of significant others implicitly affect goal pursuit. Journal of personality and social psychology, 84(4), 661. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/12703642
56 Hoyle, R. H. (2010). Regulatory accessibility and social influences on state self-control. Personality and Social Psychology Bulletin, 36(2), 251-263. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3664398/
57 Seta, J. J. (1982). The impact of comparison processes on coactors’ task performance. Journal of Personality and Social Psychology, 42(2), 281. Retrieved from http://psycnet.apa.org/journals/psp/42/2/281/
58 Aarts, H., Gollwitzer, P. M., & Hassin, R. R. (2004). Goal contagion: perceiving is for pursuing. Journal of personality and social psychology, 87(1), 23. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/15250790
59 Fitzsimons, G. M., & Bargh, J. A. (2003). Thinking of you: nonconscious pursuit of interpersonal goals associated with relationship partners. Journal of personality and social psychology, 84(1), 148. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/12518976
60 Williams, D. M., Lewis, B. A., Dunsiger, S., Whiteley, J. A., Papandonatos, G. D., Napolitano, M. A., … & Marcus, B. H. (2008). Comparing psychosocial predictors of physical activity adoption and maintenance. Annals of Behavioral Medicine, 36(2), 186-194. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/18777124
61 Neupert, S. D., Lachman, M. E., & Whitbourne, S. B. (2009). Exercise Self-Efficacy and Control Beliefs Predict Exercise Behavior After an Exercise Intervention for Older Adults. Journal of aging and physical activity, 17(1), 1. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3740728/
62 Oman, R. F., & King, A. C. (1998). Predicting the adoption and maintenance of exercise participation using self-efficacy and previous exercise participation rates. American Journal of Health Promotion, 12(3), 154-161. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/10176088
63 DuCharme, K. A., & Brawley, L. R. (1995). Predicting the intentions and behavior of exercise initiates using two forms of self-efficacy. Journal of behavioral medicine, 18(5), 479-497. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/8847716
64 Desharnais, R., Bouillon, J., & Godin, G. (1986). Self-efficacy and outcome expectations as determinants of exercise adherence. Psychological Reports. Retrieved from http://psycnet.apa.org/psycinfo/1988-01411-001
65 Ewart, C. K., Stewart, K. J., Gillilan, R. E., & Kelemen, M. H. (1986). Self-efficacy mediates strength gains during circuit weight training in men with coronary artery disease. Medicine & Science in Sports & Exercise. Retrieved from http://psycnet.apa.org/psycinfo/1988-04841-001
66 Rodgers, W. M., & Sullivan, M. J. (2001). Task, Coping, and Scheduling Self‐Efficacy in Relation to Frequency of Physical Activity1. Journal of Applied Social Psychology, 31(4), 741-753. Retrieved from http://psycnet.apa.org/psycinfo/2001-01583-005
67 Weinberg, R. S., Hughes, H. H., Critelli, J. W., England, R., & Jackson, A. (1984). Effects of preexisting and manipulated self-efficacy on weight loss in a self-control program. Journal of research in personality, 18(3), 352-358. Retrieved from http://psycnet.apa.org/psycinfo/1985-28125-001
68 Storer, T. W., Dolezal, B. A., Berenc, M. N., Timmins, J. E., & Cooper, C. B. (2014). Effect of supervised, periodized exercise training vs. self-directed training on lean body mass and other fitness variables in health club members. The Journal of Strength & Conditioning Research, 28(7), 1995-2006. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/24276303
69 Smart, D. J., & Gill, N. D. (2013). Effects of an off-season conditioning program on the physical characteristics of adolescent rugby union players. The Journal of Strength & Conditioning Research, 27(3), 708-717. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/22652917
70 Gentil, P., & Bottaro, M. (2010). Influence of supervision ratio on muscle adaptations to resistance training in nontrained subjects. The Journal of Strength & Conditioning Research, 24(3), 639-643. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/19661830
71 Bartels, S. J., Pratt, S. I., Aschbrenner, K. A., Barre, L. K., Naslund, J. A., Wolfe, R., … & Feldman, J. (2014). Pragmatic replication trial of health promotion coaching for obesity in serious mental illness and maintenance of outcomes. American Journal of Psychiatry. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537796/
72 Killen, L. G., Barry, V. W., Cooper, C., & Coons, J. M. (2014). Live vs. Digital Video Disk Exercise in College-Aged Females. The Journal of Strength & Conditioning Research, 28(12), 3393-3398. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/24918301
73 Mazzetti, S. A., Kraemer, W. J., Volek, J. S., Duncan, N. D., Ratamess, N. A., Gomez, A. L., … & Fleck, S. J. (2000). The influence of direct supervision of resistance training on strength performance. Medicine and Science in Sports and Exercise, 32(6), 1175-1184. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/10862549
74 Frost, D. M., Beach, T. A., Callaghan, J. P., & McGill, S. M. (2015). Exercise-based performance enhancement and injury prevention for firefighters: Contrasting the fitness-and movement-related adaptations to two training methodologies. The Journal of Strength & Conditioning Research, 29(9), 2441-2459. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/25763518