Running in Brazilian north region: can the environment characteristics influence into the practice?

Authors

  • Mabliny Thuany CIFI2D: Centro de Investigação, Formação, Inovação e Intervenção em Desporto. Faculdade de Desporto, Universidade do Porto – Porto, Portugal.
  • Douglas Vieira Alencar Programa de Pós-graduação em Educação Física. Universidade Federal de Sergipe, São Cristóvão – Brasil https://orcid.org/0000-0002-5552-5037
  • Cayo Vinnycius Pereira Lima Programa de Pós-graduação em Educação Física. Universidade Federal de Sergipe, São Cristóvão – Brasil https://orcid.org/0000-0002-9170-8666
  • Alana Cerqueira Programa de Pós-graduação em Educação Física. Universidade Federal de Sergipe, São Cristóvão – Brasil https://orcid.org/0000-0002-9876-4978
  • Guilherme Ferreira dos Santos Departamento de Educação Física. Universidade Federal de Sergipe, São Cristóvão – Brasil https://orcid.org/0000-0001-5666-5878
  • José Ywgne Vieira do Nascimento Programa de Pós-graduação em Educação Física. Universidade Federal de Sergipe, São Cristóvão – Brasil https://orcid.org/0000-0002-7113-6402
  • Thayse Natacha Gomes Programa de Pós-Graduação em Educação Física (PPGEF/UFS). Departamento de Educação Física – Universidade Federal de Sergipe, São Cristóvão-SE - Brasil.

DOI:

https://doi.org/10.20873/abef.2595-0096v5n27180

Keywords:

Running, Physical Activity, Health

Abstract

Mass activities (cycling, walking, running) are important strategies for physical activity (PA) increment among the population. Since running is an activity performed in outdoor spaces, the physical and natural environment characteristics are important determinants for practice commitment. The purpose of this study is to investigate the environmental factors associated with running training in the northern region of Brazil. We hypothesized that environmental characteristics, such as illumination and green spaces are related to higher training commitment. This is a cross-sectional study, named “InTrack”, that sampled non-professional runners. The sample comprised 76 (35,6±1,2 years) runners, residents in the states from the Brazilian north region. An online questionnaire was used for data collection, which included self-reported information about sex, age, body mass and height, and training. Environmental characteristics (public illumination, asphalt, sidewalks, and green area) were obtained from the research on Urban characteristics of the surroundings of the households. Data analysis was performed in Stata 14.0, comprising multiple regression, adjusted by the state of residence as a cluster. One regression model was built, considering sex and age as covariates, and a confidence interval of 95%. On average, participants were classified as normal weight. The higher training volumes were found for runners from Tocantins (43.5±5.8 km/week). Higher values ​​for public illumination, pavement, sidewalks, and green spaces were verified for Tocantins, Amazonas, and Amapá, respectively. State-adjusted regression analysis indicated a direct and significant association between environment and training; however, an inverse relation was shown for illumination. A “friendly” environment can enhance involvement in running practice and contribute to increases in PA levels of residents from the Brazilian north region.

References

Blair SN. Physical inactivity: the biggest public health problem of the 21st century. British Journal of Sports Medicine. 2009;43(1):1.

WHO WHO. WHO highlights high cost of physical inactivity in first-ever global report Geneva2022 [Available from: https://www.who.int/news/item/19-10-2022-who-highlights-high-cost-of-physical-inactivity-in-first-ever-global-report#:~:text=Almost%20500%20million%20people%20will,physical%20activity%20among%20their%20populations.

Bauman AE, Reis RS, Sallis JF, Wells JC, Loos RJ, Martin BW, et al. Correlates of physical activity: why are some people physically active and others not? The lancet. 2012;380(9838):258-71.

Junior LCH, Pillay JD, Mechelen Wv, Verhagen E. Meta-Analyses of the Effects of Habitual Running on Indices of Health in Physically Inactive Adults. Sports Med. 2015;45(10):1455-68.

Pereira HV, Palmeira AL, Encantado J, Marques MM, Santos I, Carraça EV, et al. Systematic review of psychological and behavioral correlates of recreational running. Front Psychol. 2021;12(624783).

Gladwell VF, Brown DK, Wood C, Sandercock GR, Barton JL. The great outdoors: how a green exercise environment can benefit all. Extrem Physiol Med. 2013;2(1):3.

Barton J, Pretty J. What is the best dose of nature and green exercise for improving mental health? A multi-study analysis. Environ Sci Technol. 2010;44(10):3947-55.

Sallis JF, Bull F, Burdett R, Frank LD, Griffiths P, Giles-Corti B, et al. Use of science to guide city planning policy and practice: how to achieve healthy and sustainable future cities. Lancet. 2016;388(10062):2936-47.

Sallis JF, Spoon C, Cavill N, Engelberg JK, Gebel K, Parker M, et al. Co-benefits of designing communities for active living: an exploration of literature. Int J Behav Nutr Phys Act. 2015;12:30.

Ministério do Esporte. Diagnóstico Nacional do Esporte. 2016. p. 70.

Capi AHC, Bahia MC, Grasso RMP, Stoppa EA, Isayama HF. Lazer na região norte do Brasil: as práticas cotidianas das diferentes classes sociais. Papers do NAEA. 2018;28(1).

Thuany M, Gomes TN, Almeida MB. Validação de um instrumento para caracterização e verificação de fatores associados ao desempenho de corredores de rua. Scientia Plena. 2020;16(3):1-7.

Nikolaidis P, Knechtle B. Validity of recreational marathon runners' self-reported anthropometric data. Perceptual and Motor Skills. 2020:31512520930159.

Thuany M, Gomes TN, Almeida MB. Is there any difference between “amateur” and “recreational” runners? A latent class analysis. Motriz, Rio Claro. 2020;26(4).

Knechtle B, Tanous DR, Wirnitzer G, Leitzmann C, Rosemann T, Scheer V, et al. Training and Racing Behavior of Recreational Runners by Race Distance-Results From the NURMI Study (Step 1). Front Physiol. 2021;12:620404.

Carmack MA, Martens R. Measuring Commitment to Running: A Survey of Runners' Attitudes and Mental States. Journal of Sport Psychology. 1979;1(1):25-42.

IBGE IBdGeE. Características urbanísticas do entorno dos domicílios. Rio de Janeiro2012. p. 1-175.

Deelen I, Janssen M, Vos S, Kamphuis CBM, Ettema D. Attractive running environments for all? A cross-sectional study on physical environmental characteristics and runners’ motives and attitudes, in relation to the experience of the running environment. BMC Public Health. 2019;19(1):366.

Schuurman N, Rosenkrantz L, Lear SA. Environmental Preferences and Concerns of Recreational Road Runners. 2021;18(12):6268.

Allen-Collinson J. Running the routes together: co-running and knowledge in action. J Contemp Ethnogr. 2008;37(1):38-61.

Silva ICM, Hino AA, Lopes A, Ekelund U, Brage S, Gonçalves H, et al. Built environment and physical activity: domain- and activity-specific associations among Brazilian adolescents. BMC Public Health. 2017;17(1):616.

Kaplan J, Chalfin A. Ambient lighting, use of outdoor spaces and perceptions of public safety: evidence from a survey experiment. Security Journal. 2022;35(3):694-724.

IBGE. Palmas (TO): Instituto Brasileiro de Geografia e Estatísticas; 2014 [Available from: https://cidades.ibge.gov.br/brasil/to/palmas/historico.

Published

2022-12-30

How to Cite

Thuany , M., Vieira Alencar, D., Pereira Lima , C. V., Cerqueira, A., Ferreira dos Santos, G., Vieira do Nascimento, J. Y., & Natacha Gomes, T. (2022). Running in Brazilian north region: can the environment characteristics influence into the practice?. Brazilian Archives of Physical Education, 5(2), 72–80. https://doi.org/10.20873/abef.2595-0096v5n27180

Similar Articles

<< < 1 2 3 4 5 > >> 

You may also start an advanced similarity search for this article.