an we explain running-related injury preventive behavior? A path analysi

Author(s)

Hespanhol, Luiz ^{[1, 2, 3]} ; Vallio, Caio Sain ^[2] ; van Mechelen, Willem ^{[1, 4, 5, 3, 6, 7]} ; Verhagen, Evert ^{[1, 3, 6]}

Affiliation

^[1] Locat VU Univ Med Ctr Amsterdam VUmc, Amsterdam Univ Med Ctr, Amsterdam Publ Hlth Res Inst APH, Dept Publ & Occupat Hlth DPOH, Amsterdam - Netherlands

^[2] Univ Cidade Sao Paulo UNICID, Masters & Doctoral Programs Phys Therapy, Rua Cesario Galeno 448, BR-03071100 Sao Paulo, SP - Brazil

^[3] Locat VU Univ Med Ctr Amsterdam VUmc, Amsterdam Univ Med Ctr, Amsterdam Collaborat Hlth & Safety Sports ACHSS, Amsterdam Movement Sci, Amsterdam - Netherlands

^[4] Univ Coll Dublin, Sch Publ Hlth Physiotherapy & Populat Sci, Dublin - Ireland

^[5] Univ Med Ctr Groningen, Ctr Human Movement Sci, Groningen - Netherlands

^[6] Univ Cape Town, Fac Hlth Sci, Dept Human Biol, Div Exercise Sci & Sports Med ESSM, Cape Town - South Africa

^[7] Univ Queensland, Fac Hlth & Behav Sci, Sch Human Movement & Nutr Sci, Brisbane, Qld - Australia

• Document type: Journal article
• Source: BRAZILIAN JOURNAL OF PHYSICAL THERAPY; v. 25, n. 5, p. 601-609, SEP-OCT 2021.
• Web of Science Citations: 1

Abstract

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% (R-2 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. (C) 2021 Associacao Brasileira de Pesquisa e Pos-Graduacao em Fisioterapia. Published by Elsevier Espana, S.L.U. All rights reserved. (AU)

• FAPESP's process: 17/11665-4 - Development and evaluation process of a prevention program on running-related injuries
• Grantee: Caio Sain Vallio
• Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
• FAPESP's process: 16/09220-1 - Development and evaluation process of a prevention program on running-related injuries
• Grantee: Luiz Carlos Hespanhol Junior
• Support Opportunities: Research Grants - Young Investigators Grants