Leo Lundy

Lead Researcher


Curriculum vitae



Reilly Lab

Trinity College Dublin

The University of Dublin
College Green
Dublin 2
Ireland
D02 PN40



Psychology - Mental Health


Miles and mindset: The psychological toll of multi-marathoning


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Participation article

Authors:   L. Lundy , R. B. Reilly, N. Fleming, D. Wilczyńska 
 Published:   October 2025
Graphical Abstract

 Abstract

Objective

Multi-marathoners, usually 100 Marathon Club members, have completed dozens or even hundreds of marathons. While physiological benefits of endurance running are established, the psychological impacts, particularly depression and anxiety, remain underexamined. This study compared depression and anxiety in multi-marathoners with population norms and examined differences by age, gender, and psychological subgroup.

Methods

A cross-sectional online survey collected data from 576 multi-marathoners (56 % men), mean age 53.4 years (SD 9.88), average marathon completions of 146 (SD 196.77). Depression and anxiety were assessed using CESD-8 and STAI-S-6, and compared to TILDA, an Irish longitudinal ageing study. Age and gender trends were analysed with linear regression. Latent Class Analysis identified subgroups, while t-tests and ANOVA explored group differences.

Results

Compared to TILDA norms, multi-marathoners had higher depression and anxiety scores across demographics, though still below clinical thresholds (CESD-8 ≥ 8; STAI-S-6 ≥ 12). Women scored higher on depression than men. Older men had lower anxiety (slope = −0.35, p = 0.002), with a similar, non-significant trend in women. Depression scores were stable with minor, non-significant age-related shifts.
LCA identified four psychological profiles, mostly with minimal to moderate symptoms. Notably, 8 % of multi-marathoners fell into the Severe Depression & High Anxiety category, exceeding the highest clinical cut-offs.

Conclusion

Multi-marathoners did not consistently show lower depression or anxiety. While many exhibited low or subclinical symptoms, a subgroup showed clinically significant mental health issues. This highlights psychological variability and the limitations of group-level analysis, underscoring the need for targeted mental health assessments and individualised support. 

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