TY - JOUR
T1 - Can we explain running-related injury preventive behavior? A path analysis
T2 - A path analysis
AU - Hespanhol, Luiz
AU - Vallio, Caio Sain
AU - van Mechelen, Willem
AU - Verhagen, Evert
N1 - Funding Information: Luiz Hespanhol was granted with a Young Investigator Grant from the Sao Paulo Research Foundation (FAPESP), grant 2016/09220?1. Caio Sain Vallio was granted with a PhD scholarship from FAPESP, process number 2017/11665?4. The authors wish to thank MudSweatTrails and Marc Weening for their assistance during the recruitment, and all trail runners who participated in this study. Funding Information: Luiz Hespanhol was granted with a Young Investigator Grant from the Sao Paulo Research Foundation (FAPESP), grant 2016/09220–1. Caio Sain Vallio was granted with a PhD scholarship from FAPESP, process number 2017/11665–4. The authors wish to thank MudSweatTrails and Marc Weening for their assistance during the recruitment, and all trail runners who participated in this study. Publisher Copyright: © 2021 Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/9/1
Y1 - 2021/9/1
N2 - Background: Behavioral and social science theories/models have been gaining attention in sports injury prevention. Objective: To investigate the potential of the Theory of Planned Behavior in explaining running-related injury preventive behavior. Methods: Six-month prospective cohort study based on data gathered from a randomized controlled trial. From a total of 1512 invited trail runners, 232 were included in this study. Preventive behaviors and their determinants were assessed at baseline and two and six months after baseline. Five-point Likert scales were used to assess the determinants of preventive behavior. A Bayesian path analysis was conducted applying mixed models and mediation analysis. Results: A 1-point increase in intention, attitude, subjective norm, and perceived behavioral control predicted an increase of 54% (95% Bayesian credible interval [BCI]: 38, 71) in the rate of performing running-related injury preventive behavior, explaining 49% (R2 0.49; 95% BCI: 0.41, 0.56) of the variance around preventive behavior. Intention and perceived behavioral control predicted running-related injury preventive behavior directly, while 40% (95% BCI: 21, 61) and 44% (95% BCI: 20, 69) of the total effect of attitude was mediated by intention and perceived behavioral control, respectively. Attitude, subjective norm, and perceived behavioral control predicted intention. Conclusions: The Theory of Planned Behavior may have the potential to explain half of the variance around running-related injury preventive behavior and intention. Therefore, such theory may be considered a relevant and useful tool in developing, investigating, and/or implementing programs aimed at preventing running-related injuries.
AB - Background: Behavioral and social science theories/models have been gaining attention in sports injury prevention. Objective: To investigate the potential of the Theory of Planned Behavior in explaining running-related injury preventive behavior. Methods: Six-month prospective cohort study based on data gathered from a randomized controlled trial. From a total of 1512 invited trail runners, 232 were included in this study. Preventive behaviors and their determinants were assessed at baseline and two and six months after baseline. Five-point Likert scales were used to assess the determinants of preventive behavior. A Bayesian path analysis was conducted applying mixed models and mediation analysis. Results: A 1-point increase in intention, attitude, subjective norm, and perceived behavioral control predicted an increase of 54% (95% Bayesian credible interval [BCI]: 38, 71) in the rate of performing running-related injury preventive behavior, explaining 49% (R2 0.49; 95% BCI: 0.41, 0.56) of the variance around preventive behavior. Intention and perceived behavioral control predicted running-related injury preventive behavior directly, while 40% (95% BCI: 21, 61) and 44% (95% BCI: 20, 69) of the total effect of attitude was mediated by intention and perceived behavioral control, respectively. Attitude, subjective norm, and perceived behavioral control predicted intention. Conclusions: The Theory of Planned Behavior may have the potential to explain half of the variance around running-related injury preventive behavior and intention. Therefore, such theory may be considered a relevant and useful tool in developing, investigating, and/or implementing programs aimed at preventing running-related injuries.
KW - Bayesian analysis
KW - Health behavior
KW - Physical therapy
KW - Psychological theory
KW - Risk reduction behavior
KW - Sports injuries
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85106213300&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/34001423
U2 - https://doi.org/10.1016/j.bjpt.2021.04.007
DO - https://doi.org/10.1016/j.bjpt.2021.04.007
M3 - Article
C2 - 34001423
SN - 1809-9246
VL - 25
SP - 601
EP - 609
JO - Brazilian Journal of Physical Therapy
JF - Brazilian Journal of Physical Therapy
IS - 5
ER -