Javascript must be enabled to continue!
108 Why do we run? Motivation profiles and training characterstics in the Garmin-RUNSAFE Running Health Study
View through CrossRef
Abstract
Purpose
To identify differences in training between runners with different motivation profiles.
Methods
We invited runners enrolled in the Garmin-RUNSAFE Running Health Study to answer the Behavioural Regulations in Exercise Questionnaire, version 3 (BREQ-3) – a 24-item, six subscale questionnaire assessing motivation.
For each runner, we computed the mean weekly number of running sessions (Mfreq), the mean weekly running distance (Mkmwk), the mean weekly running duration (Mdurwk) and the average pace (Mminkm) in the four weeks preceding BREQ-3 completion.
We identified motivation profiles using latent profile analysis on the BREQ-3 subscale scores and compared profiles’ training using Kruskal-Wallis and Dunn’s test with Bonferroni correction with statistical significance set at p < 0.05.
Results
2278 runners completed the BREQ-3. We identified four motivation profiles: ‘balanced engagers’ (n = 620, Mfreq = 2.6, Mkmwk = 23.6 km, Mdurwk = 2.3 hours, Mminkm = 6.15 min/km) with moderate-to-high levels of autonomous motivation; ‘autonomy achievers’ (n = 1379, Mfreq = 3.4, Mkmwk = 31.3 km, Mdurwk = 3.1 hours, Mminkm = 6.10 min/km) with high levels of autonomous motivation; ‘reluctant runners’ (n = 117, Mfreq = 1.9, Mkmwk = 13.2 km, Mdurwk = 1.4 hours, Mminkm = 6.46 min/km) with low levels of autonomous motivation; and ‘controlled engagers’ (n = 162, Mfreq = 2.9, Mkmwk = 24.5 km, Mdurwk = 2.5 hours, Mminkm = 6.38 min/km) with high amotivation and extrisinc motivation, but also high autonomous motivation.
‘Autonomy achievers’ had higher Mfreq, Mkmwk, Mdurwk and Mminkm compared to all other profiles (p < 0.001), while ‘reluctant runners’ had lower Mfreq, Mkmwk and Mdurwk than all other profiles (p < 0.001).
Conclusions
Running is one of the most popular forms of physical activity. Our findings show that runners have different motivation profiles which are associated with distinct training patterns. Therefore, it may be important to consider runners’ motivational orientation when designing policies and interventions aimed at enhancing physical activity through running.
Support
The study is supported by unconditional grants from Aarhus University Research Foundation (grant number: AUFF-E-2015-FLS-9-9) and the Danish Rheumatism Association (grant number: R160-A5157).
Oxford University Press (OUP)
Title: 108 Why do we run? Motivation profiles and training characterstics in the Garmin-RUNSAFE Running Health Study
Description:
Abstract
Purpose
To identify differences in training between runners with different motivation profiles.
Methods
We invited runners enrolled in the Garmin-RUNSAFE Running Health Study to answer the Behavioural Regulations in Exercise Questionnaire, version 3 (BREQ-3) – a 24-item, six subscale questionnaire assessing motivation.
For each runner, we computed the mean weekly number of running sessions (Mfreq), the mean weekly running distance (Mkmwk), the mean weekly running duration (Mdurwk) and the average pace (Mminkm) in the four weeks preceding BREQ-3 completion.
We identified motivation profiles using latent profile analysis on the BREQ-3 subscale scores and compared profiles’ training using Kruskal-Wallis and Dunn’s test with Bonferroni correction with statistical significance set at p < 0.
05.
Results
2278 runners completed the BREQ-3.
We identified four motivation profiles: ‘balanced engagers’ (n = 620, Mfreq = 2.
6, Mkmwk = 23.
6 km, Mdurwk = 2.
3 hours, Mminkm = 6.
15 min/km) with moderate-to-high levels of autonomous motivation; ‘autonomy achievers’ (n = 1379, Mfreq = 3.
4, Mkmwk = 31.
3 km, Mdurwk = 3.
1 hours, Mminkm = 6.
10 min/km) with high levels of autonomous motivation; ‘reluctant runners’ (n = 117, Mfreq = 1.
9, Mkmwk = 13.
2 km, Mdurwk = 1.
4 hours, Mminkm = 6.
46 min/km) with low levels of autonomous motivation; and ‘controlled engagers’ (n = 162, Mfreq = 2.
9, Mkmwk = 24.
5 km, Mdurwk = 2.
5 hours, Mminkm = 6.
38 min/km) with high amotivation and extrisinc motivation, but also high autonomous motivation.
‘Autonomy achievers’ had higher Mfreq, Mkmwk, Mdurwk and Mminkm compared to all other profiles (p < 0.
001), while ‘reluctant runners’ had lower Mfreq, Mkmwk and Mdurwk than all other profiles (p < 0.
001).
Conclusions
Running is one of the most popular forms of physical activity.
Our findings show that runners have different motivation profiles which are associated with distinct training patterns.
Therefore, it may be important to consider runners’ motivational orientation when designing policies and interventions aimed at enhancing physical activity through running.
Support
The study is supported by unconditional grants from Aarhus University Research Foundation (grant number: AUFF-E-2015-FLS-9-9) and the Danish Rheumatism Association (grant number: R160-A5157).
Related Results
Peta batimetri Danau Sentani Papua
Peta batimetri Danau Sentani Papua
Abstract. Lake Sentani is located in Jayapura Regency, Papua Province with an area 9,360 ha and 70-90 meters above sea level. The lake directly adjacent to Cycloops Mountains Natur...
The Development of Sustainable Training for Youth Dancesport in China
The Development of Sustainable Training for Youth Dancesport in China
This research aims to study factors related to sustainable training for youth dancesport in China. The second aim is to study mediating roles of motivation to learn and expectation...
Lebanese students’ motivation in medical school: does it change throughout the years? A cross-sectional study
Lebanese students’ motivation in medical school: does it change throughout the years? A cross-sectional study
Abstract
Background
Students entering medical school are driven by different types of motivation: autonomous motivation, controlled motivation, or a...
ACKNOWLEDGMENTS
ACKNOWLEDGMENTS
The UP Manila Health Policy Development Hub recognizes the invaluable contribution of the participants in theseries of roundtable discussions listed below:
RTD: Beyond Hospit...
Sport Motivation and Health: Relationship Between Health and Sport Motivation Among Key Junior High Schools’ Students in China
Sport Motivation and Health: Relationship Between Health and Sport Motivation Among Key Junior High Schools’ Students in China
The existing research has focused on physical and mental health, yet exploring the relationship between sports motivation and overall health remains indispensable. This study inves...
Exploring running-style modulation
Exploring running-style modulation
Technological advances in the past decades allow runners to measure a large range of variables by means of wearables and smartphone applications. However, the interpretation of suc...
Health literacy and motivation to change health behavior among cardiovascular patients
Health literacy and motivation to change health behavior among cardiovascular patients
Abstract
Introduction
Today, cardiovascular diseases (CVDs) have become increasingly prevalent in various societies. Having an adequate level of ...
Housing Improvements for Health and Associated Socio‐Economic Outcomes: A Systematic Review
Housing Improvements for Health and Associated Socio‐Economic Outcomes: A Systematic Review
Poor housing is associated with poor health. This suggests that improving housing conditions might lead to improved health for residents. This review searched widely for studies fr...

