Related Experiment Video
Updated: Jun 27, 2026

Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running
Published on: July 17, 2020
Why do we run? A cross-sectional analysis of motivation profiles and training characteristics in the Garmin-RUNSAFE
Chloe T Blacket1, Sebastian Skejø2, Rasmus Østergaard Nielsen2
1Alliance for Research in Exercise, Nutrition and Activity (ARENA), School of Allied Health & Human Performance, College of Health, Adelaide University, Australia.
Objectives:
To investigate motivation profiles of runners and explore how they relate to training characteristics.
Design:
Cross-sectional analysis within an existing cohort study.
Methods:
Participants in the Garmin-RUNSAFE Running Health Study completed the Behavioural Regulations in Exercise Questionnaire, version 3 to assess running motivation (n = 2278). To identify motivation profiles, latent profile analysis was conducted based on questionnaire subscale scores. Weekly training characteristics (frequency, pace, duration, distance) from Global Positioning System smartwatches in the previous four weeks were compared between profiles.
Results:
Latent profile analysis identified four distinct motivation profiles: 'balanced engagers' (n = 620), 'autonomous achievers' (n = 1379), 'reluctant runners' (n = 117), and 'controlled engagers' (n = 162). These profiles reflected varying levels of autonomous and controlled motivation, with 'autonomous achievers' characterised by high levels of identified, integrated, and intrinsic regulation, and 'reluctant runners' characterised by higher amotivation and lower autonomous regulation compared to other profiles. 'Autonomous achievers' engaged in running more frequently (median: 3.0 runs/week) and for longer durations (median: 161.5 min/week) compared to other profiles (p < 0.01). Conversely, reluctant runners ran less frequently and for shorter durations (1.5 runs/week; 57.8 min/week) and substantially lower weekly distance compared to 'autonomous achievers' (9.1 vs. 26.6 km/week; p < 0.01).
Conclusions:
Distinct motivation profiles were identified within this large cohort of runners, with differences observed in training characteristics such as running frequency and duration. It may be important to consider runners' motivational orientation when aiming to promote sustainable physical activity through running.
More Related Videos
Related Concept Videos
Longitudinal Research
Cross-Sectional Research
Factors Influencing Heart Rate
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
Longitudinal Studies
Motivational Bias

