Psychosocial Correlates For Running Related Injuries In Recreational Runners - Preliminary Data

Psychosocial correlates for running related injuries in recreational runners – preliminary data MICHAL SEBERA1, JIRI SKYPALA1, DANIEL JANDACKA1, STERIANI ELAVSKY11University of Ostrava, Ostrava, Czech RepublicThe occurrence of running related injuries is frequent and is influenced by many factors. Risk factors related to training parameters and biomechanical variables have been described in the literature. Psychosocial risk factors are also emerging, but are still understudied. PURPOSE: To identify psychosocial variables that are associated with the development of running injuries in recreational runners. METHODS: This is a pre-analysis of data from the Healthy Ageing in the Industrial Environment (HAIE) study. HAIE study is a prospective cohort study of N = 1315 individuals aged 18–65 years. Participants were divided into two groups based on physical activity status (active runners vs. Insufficiently active). In this study, only runners were included (N = 729). Participants were screened and complete baseline assessments through online questionnaires and in-person lab-based participants assessments of physiological, biomechanical, neuroimaging and cognitive function parameters. Prospective 12-month intensive monitoring of air pollution and behavioral parameters (PA, inactivity, and sleep) follows, with a focus on running-related injuries and psychological factors through fitness trackers, smartphones, and mobile apps. Descriptive statistics were computed and partial correlations were evaluated for running related injuries and psychosocial factors controlled for age. Variables with statistical significance were grouped according to the COM-B model. Significance was evaluated based on a two tailed test with a critical value set at .05. The data were analyzed using IBM SPSS Statistics 24. RESULTS: 40% (N = 208) of runners sustained an injury during the 1-year follow up. There was significant correlation between running related injuries and neuroticism (r = 0.105, p = 0,04), social support (r = -0.127, p = 0,01), physical self-perception (r = -0.127, p = 0,01). CONCLUSION: Preliminary results suggest that neuroticism, social support and physical self-perception may be identified as risk factors for running related injury and will be subject to further research. This work is from the project, Research of Excellence on Digital Technologies and Wellbeing“ (CZ.02.01.01/00/22_008/0004583) which is co-financed by the European Union. The data are from the project 4HAIE,Healthy Aging in Industrial Environment - Program 4“ (CZ.02.1.01/0.0/0.0/16_019/0000798).

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2024-09-16
DOI
https://doi.org/10.1249/01.mss.0001060084.66128.89
Primary Topic
Winter Sports Injuries and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychosocial Correlates For Running Related Injuries In Recreational Runners - Preliminary Data

Michal Sebera
Medicine & Science in Sports & Exercise
Winter Sports Injuries and Performance
article

Psychosocial Correlates For Running Related Injuries In Recreational Runners - Preliminary Data

Michal Sebera
article en

Abstract

Psychosocial correlates for running related injuries in recreational runners – preliminary data MICHAL SEBERA1, JIRI SKYPALA1, DANIEL JANDACKA1, STERIANI ELAVSKY11University of Ostrava, Ostrava, Czech RepublicThe occurrence of running related injuries is frequent and is influenced by many factors. Risk factors related to training parameters and biomechanical variables have been described in the literature. Psychosocial risk factors are also emerging, but are still understudied. PURPOSE: To identify psychosocial variables that are associated with the development of running injuries in recreational runners. METHODS: This is a pre-analysis of data from the Healthy Ageing in the Industrial Environment (HAIE) study. HAIE study is a prospective cohort study of N = 1315 individuals aged 18–65 years. Participants were divided into two groups based on physical activity status (active runners vs. Insufficiently active). In this study, only runners were included (N = 729). Participants were screened and complete baseline assessments through online questionnaires and in-person lab-based participants assessments of physiological, biomechanical, neuroimaging and cognitive function parameters. Prospective 12-month intensive monitoring of air pollution and behavioral parameters (PA, inactivity, and sleep) follows, with a focus on running-related injuries and psychological factors through fitness trackers, smartphones, and mobile apps. Descriptive statistics were computed and partial correlations were evaluated for running related injuries and psychosocial factors controlled for age. Variables with statistical significance were grouped according to the COM-B model. Significance was evaluated based on a two tailed test with a critical value set at .05. The data were analyzed using IBM SPSS Statistics 24. RESULTS: 40% (N = 208) of runners sustained an injury during the 1-year follow up. There was significant correlation between running related injuries and neuroticism (r = 0.105, p = 0,04), social support (r = -0.127, p = 0,01), physical self-perception (r = -0.127, p = 0,01). CONCLUSION: Preliminary results suggest that neuroticism, social support and physical self-perception may be identified as risk factors for running related injury and will be subject to further research. This work is from the project, Research of Excellence on Digital Technologies and Wellbeing“ (CZ.02.01.01/00/22_008/0004583) which is co-financed by the European Union. The data are from the project 4HAIE,Healthy Aging in Industrial Environment - Program 4“ (CZ.02.1.01/0.0/0.0/16_019/0000798).

Medicine & Science in Sports & ExerciseVol. 56(10S)
University of Ostrava (CZ)
Gender equality
Openalex Percentile: Top 71%
Winter Sports Injuries and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.