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Is there an association between countries’ culture and runners’ performance?

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Abstract

Background

It is widely accepted that countries’ characteristics influence sports performance. However, there is a missing link regarding the association between cultural dimensions and runners’ performance. Our purpose was to verify if the six cultural dimensions of Hofstede are related to performance in non-elite runners and to investigate whether cultural factors remain as predictors when individual factors are considered.

Methods

We used a cross-sectional design, sampling 279 runners from Brazil, Spain, Kenya, Portugal, and Poland. We used a web survey to collect data from runners, while countries’ cultural dimensions were obtained through the six dimensions of Hofstede’s theory (power distance, individualism, masculinity, uncertainty avoidance, long-term orientation, and indulgence). A robust regression analysis was performed considering three different models (crude, adjusted by cultural dimensions, adjusted by runners’ characteristics). For all analyses, running pace was considered as performance indicator. Analysis was performed in STATA (version 14), adopting a 95% confidence interval.

Results

The crude model showed that power distance and indulgence were associated with running pace. The culture-adjusted model showed that higher scores of masculinity in a country leads to lower performance (β = 3.9; p < 0.001), while higher scores of individualism is associated with to higher performance (β = −3.3; p < 0.001). When the model was adjusted for runners’ variables, individualism remained as a significant predictor (β = −1.4; p = 0.035). The last model explains 41% of the runner’s performance variance.

Conclusion

Runners, coaches, and policymakers can better understand the drivers and barriers to performance and running practice across different countries.

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Data availability

The datasets used and analysed during the current study are available from the corresponding author upon reasonable request.

Code availability

Not applicable.

Abbreviations

BMI:

Body mass index

CI:

Confidence interval

References

  1. V Bosscher De S Shibli H Westerbeek B Mv 2015Successful elite sport policies: an international comparison of the sports policy factors leading to international sporting success (SPLISS 2.0) in 15 nationsMeyer Meyer Sports (UK) Ltd

  2. Wicker P, Hallmann K, Breuer C (2012) Micro and macro level determinants of sport participation. Sport Busi Manag Intern J Behav Nutri Phy Act 2(1):51–68. https://doi.org/10.1108/20426781211207665

    Article  Google Scholar 

  3. Bohme MTS, Bastos FC (2016) Esporte de alto rendimento: fatores críticos de sucesso - gestão - identificação de talentos, 1st edn. São Paulo, Phorte, p 360

    Google Scholar 

  4. The WM, Race GSA (2010) An international comparative study on sports policy factors leading to international sporting success (SPLISS). Eur Sport Manag Q 10(5):613–615. https://doi.org/10.1080/16184742.2010.524242

    Article  Google Scholar 

  5. Shiraev EB, Levy DA (2010) Cross-cultural psychology critical thinking and contemporary applications, 4th edn. Allyn & Bacon, Boston

    Google Scholar 

  6. Spector PE, Liu C, Sanchez JI (2015) Methodological and substantive issues in conducting multinational and cross-cultural research. Annu Rev Organ Psychol Organ Behav 2:101–131

    Article  Google Scholar 

  7. Cook S, Larsen J (2022) Geographies of running cultures and practices. Geogr Compass 16(10):e12660. https://doi.org/10.1111/gec3.12660

    Article  Google Scholar 

  8. Henriksen K, Stambulova N, Roessler KK (2010) Successful talent development in track and field: considering the role of environment. Scand J Med Sci Sports. https://doi.org/10.1111/j.1600-0838.2010.01187.x

    Article  PubMed  Google Scholar 

  9. Hofstede Insights. Country comparison 2022 [cited 2022 23 August]. https://www.hofstede-insights.com/country-comparison/the-usa/.

  10. Guo Q, Liu Z, Li X, Qiao X (2018) Indulgence and long term orientation influence prosocial behavior at national level. Front Psychol. https://doi.org/10.3389/fpsyg.2018.01798

    Article  PubMed  PubMed Central  Google Scholar 

  11. Akaliyski P, Minkov M, Li J, Bond MH, Gehrig S (2022) The weight of culture: societal individualism and flexibility explain large global variations in obesity. Soc Sci Med Epub. https://doi.org/10.1016/j.socscimed.2022.115167

    Article  Google Scholar 

  12. Choi YH, Wei Q, Zhang L, Choi S-J (2022) The impact of cultural distance on performance at the summer olympic games. SAGE Open 12(1):21582440221085264. https://doi.org/10.1177/21582440221085265

    Article  Google Scholar 

  13. Bank TW. Kenya 2015 [cited 2023 29 March]. https://data.worldbank.org/country/kenya.

  14. World Athletics. What it takes to become a Kenyan distance champion: World Athletics,; 2022 [cited 2022 20 August]. https://worldathletics.org/be-active/performance/kenyan-distance-running-reasons-success.

  15. Wilber RL, Pitsiladis YP (2012) Kenyan and Ethiopian distance runners: what makes them so good? Int J Sports Physiol Perform 7(2):92–102. https://doi.org/10.1123/ijspp.7.2.92

    Article  PubMed  Google Scholar 

  16. Larsen HB (2003) Kenyan dominance in distance running. Comp Biochem Physiol A Mol Integr Physiol 136(1):161–170. https://doi.org/10.1016/s1095-6433(03)00227-7

    Article  PubMed  Google Scholar 

  17. Bale J, Sang J (1996) Kenyan running: movement culture, geography and global change, 1st edn. Routledge, UK

    Google Scholar 

  18. Santos P, Sousa C, da Silva AS, Knechtle B, Nikolaidis P, Sales M et al (2019) Human development index and the frequency of nations in athletics world rankings. Sport Sci Health 15(2):393–398. https://doi.org/10.1007/s11332-019-00529-1

    Article  Google Scholar 

  19. Gomes-Sentone R, Lopez-Gi JF, Caetano CI, Cavichioll FR (2019) Relationship between human development index and the sport results of Brazilian swimming athletes. JHSE 14(5):S2009–S2018. https://doi.org/10.14198/jhse.2019.14.Proc5.22

    Article  Google Scholar 

  20. Andersen JJ. The State of Trail Running 2022 2022 [cited 2023 23 April]. https://runrepeat.com/the-state-of-trail-running-2022.

  21. RunRepeat. The State of Ultra Running 2020 2021 [cited 2021 24 September 2021]. https://runrepeat.com/state-of-ultra-running.

  22. RunRepeat. Marathon Statistics 2019 Worldwide Online2020 [cited 2020 07 March]. https://runrepeat.com/research-marathon-performance-across-nations.

  23. Andersen JJ. The state of running 2019: RunRepeat; 2019 [cited 2020 17 August]. https://runrepeat.com/state-of-running.

  24. Scheerder J, Breedveld K, Borgers J (2015) Who is doing a run with the Running Boom? In: Scheerder J, Breedveld K, Borgers J (eds) Running across Europe: the rise and size of one of the largest sport markets. Palgrave Macmillan UK, London, pp 1–27

    Chapter  Google Scholar 

  25. Lassalle G, Recours R, Griffet J (2019) Cultures of running: characteristics and determinants. Sport Soc 22(3):342–360. https://doi.org/10.1080/17430437.2018.1490264

    Article  Google Scholar 

  26. Kazimierczak M, Dąbrowska A, Adamczewska K, Malchrowicz-Mośko E (2019) The impact of modern ultramarathons on shaping the social identity of runners. the case study of karkonosze winter ultramarathon. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph17010116

    Article  PubMed  PubMed Central  Google Scholar 

  27. Wegner CE, Ridinger LL, Jordan JS, Funk DC (2015) Get Serious. J Leis Res 47(3):305–321. https://doi.org/10.1080/00222216.2015.11950362

    Article  Google Scholar 

  28. Thuany M, Gomes TN, Weiss K, Scheer V, Hill L, Rolim R et al (2023) InTrack project–theoretical framework, design, and methods: a study protocol. PLoS ONE 18(3):e0283157. https://doi.org/10.1371/journal.pone.0283157

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Eysenbach G (2004) Improving the quality of web surveys: the checklist for reporting results of internet e-surveys (CHERRIES). J Med Internet Res. https://doi.org/10.2196/jmir.6.3.e34

    Article  PubMed  PubMed Central  Google Scholar 

  30. Thuany M, Gomes TN, Almeida MB (2020) Validação de um instrumento para caracterização e verificação de fatores associados ao desempenho de corredores de rua. Sci plena. 16(3):1–7. https://doi.org/10.14808/sci.plena.2020.032801

    Article  Google Scholar 

  31. Junior L, Costa L, Carvalho A, Lopes A (2012) Perfil das características do treinamento e associação com lesões musculoesqueléticas prévias em corredores recreacionais: um estudo transversal. Rev Bras Fisioter 16(1):46–53. https://doi.org/10.1590/S1413-35552012000100009

    Article  Google Scholar 

  32. Nikolaidis PT, Knechtle B (2020) Validity of recreational marathon runners’ self-reported anthropometric data. Percept Mot Skills. https://doi.org/10.1177/0031512520930159

    Article  PubMed  Google Scholar 

  33. Alvero-Cruz JR, Carnero EA, García MAG, Alacid F, Correas-Gómez L, Rosemann T et al (2020) Predictive performance models in long-distance runners: a narrative review. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph17218289

    Article  PubMed  PubMed Central  Google Scholar 

  34. Paquette MR, Napier C, Willy RW, Stellingwerff T (2020) Moving beyond weekly “distance”: optimizing quantification of training load in runners. J Orthop Sports Phys Ther. https://doi.org/10.2519/jospt.2020.9533

    Article  PubMed  Google Scholar 

  35. Batterham A, Hopkins W (2006) Making meaningful inferences about magnitudes. Int J Sports Physiol Perform 1(1):50–57

    Article  PubMed  Google Scholar 

  36. Sedeaud A, Marc A, Marck A, Dor F, Schipman J, Dorsey M et al (2014) BMI, a performance parameter for speed improvement. PLoS ONE. https://doi.org/10.1371/journal.pone.0090183

    Article  PubMed  PubMed Central  Google Scholar 

  37. Le Mat F, Géry M, Besson T, Ferdynus C, Bouscaren N, Millet GY (2023) Running endurance in women compared to men: retrospective analysis of matched real-world big data. Sports Med. https://doi.org/10.1007/s40279-023-01813-4

    Article  PubMed  Google Scholar 

  38. Turner AN, Bishop C, Cree J, Carr P, McCann A, Bartholomew B et al (2019) Building a high-performance model for sport: a human development-centered approach. Strength Cond J 41(2):100–107. https://doi.org/10.1519/ssc.0000000000000447

    Article  Google Scholar 

  39. Keith KD (2013) Dimensions of culture (geert h. hofstede)–masculinity. Encyclopedia Cross Cultural Psychol Wiley Online Library, US

    Book  Google Scholar 

  40. Thibault V, Guillaume M, Berthelot G, Helou NE, Schaal K, Quinquis L et al (2010) Women and men in sport performance: the gender gap has not evolved since 1983. J Sports Sci Med 9(2):214–223

    PubMed  PubMed Central  Google Scholar 

  41. de Sa TH, Garcia LMT, Claro RM (2014) Frequency, distribution and time trends of types of leisure-time physical activity in Brazil, 2006–2012. Int J Public Health 59(6):975–982. https://doi.org/10.1007/s00038-014-0590-6

    Article  PubMed  Google Scholar 

  42. McLoughlin D. 45.85% of female runners have experienced harassment (Survey) 2021 [cited 2022 08th Jan]. https://runrepeat.com/running-harassment-survey.

  43. Besson T, Macchi R, Rossi J, Morio CYM, Kunimasa Y, Nicol C et al (2022) Sex differences in endurance running. Sports Med. https://doi.org/10.1007/s40279-022-01651-w

    Article  PubMed  Google Scholar 

  44. Flory J, Gneezy U, Leonard K, List J (2018) Gender, age, and competition: a disappearing gap? J Econ Behav Organ 150:256–276

    Article  Google Scholar 

  45. Tanaka H, Seals DR (2008) Endurance exercise performance in Masters athletes: age-associated changes and underlying physiological mechanisms. J Physiol 1(1):55–63. https://doi.org/10.1113/jphysiol.2007.141879

    Article  CAS  Google Scholar 

  46. Boullosa D, Esteve-Lanao J, Casado A, Peyré-Tartaruga LA, Rosa RGd, Coso JD (2020) Factors affecting training and physical performance in recreational endurance runners. Sports. https://doi.org/10.3390/sports8030035

    Article  PubMed  PubMed Central  Google Scholar 

  47. Renfree A, Casado A (2018) Athletic races represent complex systems, and pacing behavior should be viewed as an emergent phenomenon. Front Physiol. https://doi.org/10.3389/fphys.2018.01432

    Article  PubMed  PubMed Central  Google Scholar 

  48. Hofstede G, Hofstede GJ (2005) Culture and Organizations—Software of the Mind: Intercultural Cooperation and its Importance for Survival, 2nd edn. McGraw Hill, New York

    Google Scholar 

  49. Cypryańska M, Nezlek JB (2019) Everyone can be a winner: the benefits of competing in organized races for recreational runners. J Posit Psychol 14(6):749–755. https://doi.org/10.1080/17439760.2018.1557244

    Article  Google Scholar 

  50. Waśkiewicz Z, Nikolaidis P, Chalabaev A, Rosemann T, Knechtle B (2019) Motivation in ultra-marathon runners. Psychology research behavior management. https://doi.org/10.2147/prbm.s189061

    Article  PubMed  Google Scholar 

  51. Schwartz S (1994) The fallacy of the ecological fallacy: the potential misuse of a concept and the consequences. Am J Public Health 84(5):819–824. https://doi.org/10.2105/ajph.84.5.819

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Schein EH (2004) Organizational culture and leadership, 3rd edn. Jossey-Bass, United States of America

    Google Scholar 

  53. Gerlach P, Eriksson K (2021) Measuring cultural dimensions: external validity and internal consistency of hofstede’s vsm, 2013 scales. Front Psychol. https://doi.org/10.3389/fpsyg.2021.662604

    Article  PubMed  PubMed Central  Google Scholar 

  54. Ross MH, Homer E (1976) Galton’s Problem in Cross-National Research. World Pol 29(1):1–28

    Article  Google Scholar 

  55. DeCouto BS, Cowan RL, Fawver B, Müller E, Steidl-Müller L, Pötzelsberger B et al (2021) Nationality and sociocultural factors influence athlete development and sport outcomes: perspectives from United States and Austrian youth alpine ski racing. J Sports Sci 39(10):1153–1163. https://doi.org/10.1080/02640414.2020.1861739

    Article  PubMed  Google Scholar 

  56. Onywera VO (2009) East African runners: their genetics, lifestyle and athletic prowess. Med Sport Sci. https://doi.org/10.1159/000235699

    Article  PubMed  Google Scholar 

  57. Uehara L, Falcous M, Button C, Davids K, Araújo D, de Paula AR et al (2021) The Poor “Wealth” of Brazilian Football: how poverty may shape skill and expertise of players. Frontiers Sports Active Living. https://doi.org/10.3389/fspor.2021.635241

    Article  Google Scholar 

  58. Tekeş B, Üzümcüoğlu Y, Hoe C, Özkan T (2019) The relationship between hofstede’s cultural dimensions, schwartz’s cultural values, and obesity. Psychol Rep 122(3):968–987. https://doi.org/10.1177/0033294118777965

    Article  PubMed  Google Scholar 

  59. Knechtle B, Rosemann T, Nikolaidis P (2020) The role of nationality in ultra-endurance sports: the paradigm of cross-country skiing and long-distance running. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph17072543

    Article  PubMed  PubMed Central  Google Scholar 

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Funding

Mabliny Thuany is founded by Fundação para a Ciência e Tecnologia, with a PhD scholarship (grant number 2023.04886.BD).

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Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Mabliny Thuany, Thayse Natacha Gomes, Kevin Kipchumba, Ewa Malchrowicz-Mośko, Mateusz Rozmiarek and Marcos André Moura dos Santos. The first draft of the manuscript was written by Mabliny Thuany and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Mabliny Thuany.

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Conflict of interest

Mabliny Thuany, Thayse Natacha Gomes, Kevin Kipchumba, Lucy-Joy Wachira, Ewa Malchrowicz-Mośko, Mateusz Rozmiarek, Beat Knecthle, Ramiro Rolim, and Marcos André Moura dos Santos declare no competing interests.

Ethical approval and consent to participate

All participants received information about the study’s purposes. The study was approved by the ethics committee in Brazil (the Federal University of Sergipe, protocol nº 5.286.914), Kenya (Kenyatta University Ethics Review Committee–Center for Research Ethics and Safety, PKU/2521/11648 and research permit by the National Commission for Science, Technology, and Innovation, NACOSTI/P/22/18904), and Portugal (Faculty of Sports, University of Porto—CEFADE 12/2022), and complies with the recommendations for the 7th Revision of the Declaration of Helsinki. In Poland, the study did not require any formal ethical approval, because following the rules, the Bioethics Committee does not consider applications for surveys involving the use of standardized surveys that are used for their intended purpose.

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Thuany, M., Gomes, T.N., Kipchumba, K. et al. Is there an association between countries’ culture and runners’ performance?. Sport Sci Health (2024). https://doi.org/10.1007/s11332-024-01177-w

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