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eval set · question 18 of 22 · graded by hand

Does a low weekly training volume relate to a slower marathon finish time?

Multiple large studies show higher weekly training volume/distance is associated with faster marathon finish times, implying lower volume relates to slower times. 1 2 3 4 5

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Increases in weekly running distance, number of weekly runs, maximum weekly distance, long runs, and weekly running hours correlate with faster marathon times across elite and recreational runners. 3

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In recreational marathoners, monthly training volume predicts marathon time, but only significantly when per-workout distances exceed certain thresholds (≥21 km longest run or ≥10 km average run). 5

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World-class distance runners maintain very high weekly volumes (160-220 km for marathoners) with most training at low intensity, consistent with volume supporting performance. 6

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Low weekly volume (<15 km/week) and slower pace are linked to higher injury risk in half-marathon training, which could indirectly affect race outcomes, though this evidence is about injury not finish time. 7

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What we can't tell you


Sources

1

Faster marathon runners accumulate larger training volumes primarily through increased Z1 (easy) training and adopt a pyramidal training intensity distribution more frequently than slower runners.

pop. Marathon runners across performance levels (151,813 marathons completed by 119,452 runners), analyzed 16 weeks before race; fastest subgroup marathon time 120-150 min. · direction Negative - faster marathon times associated with higher training volumes and greater proportion of Z1 training. · design Large observational cohort analysis · strong

passage withheld — license not verified for reproduction

The Training Intensity Distribution of Marathon Runners Across Performance Levels. (2025) · doi 10.1007/s40279-024-02137-7

2

Marathon finishers with better performance show higher training volume, higher shares of low-intensity training, continuous velocity increases, and high-intensity runs ≤5% of overall volume.

pop. Marathon finishers (n=6,771) using fitness app data · direction positive (better performance associated with higher volume, low-intensity emphasis, and structured intensity distribution) · design retrospective cohort analysis · weak

passage withheld — license not verified for reproduction

Retrospective Analysis of Training and Its Response in Marathon Finishers Based on Fitness App Data (2021) · doi 10.3389/fphys.2021.669884

3

Increases in various training parameters (weekly running distance, number of weekly runs, maximum weekly distance, long runs ≥32km, training pace, longest run, and weekly running hours) are associated with faster marathon finish times in elite and recreational marathoners.

pop. Elite and recreational marathon runners (42.2km); 137 cohorts from 85 studies, 25% female · direction Positive (increased training parameters associated with faster finish times) · design Systematic review and meta-regression of observational and interventional studies · strong

passage withheld — license not verified for reproduction

An evaluation of the training determinants of marathon performance: A meta-analysis with meta-regression. (2019) · doi 10.1016/j.jsams.2019.09.013

4

Higher running distance per week, running sessions per week, quality sessions per week, and cross-training in the 4-0 months pre-race, combined with decreased running sessions per week in the final 4 months, are associated with faster Boston Marathon race times.

pop. Adult Boston Marathon registrants (917 athletes: 495 female, 422 male; mean weekly distance 64.4-67.6 km/week) · direction Positive: higher volume and quality sessions associated with faster times; decreased training frequency in final 4 months associated with faster times versus maintained/increased frequency · design Cross-sectional observational study with linear regression · weak

passage withheld — license not verified for reproduction

Training Volume and Training Frequency Changes Associated with Boston Marathon Race Performance. (2026) · doi 10.1007/s40279-025-02304-4

5

Monthly training volume is the most important factor in predicting marathon time, but its influence is only significant if running distance per workout exceeds a certain threshold (≥21 km for longest running distance and ≥10 km for average running distance).

pop. Male recreational marathon runners (n=587, 494 finishers) participating in the Hokkaido Marathon 2017 · direction Negative (higher training volume associated with faster marathon times), conditional on running distance per workout exceeding ≥21 km LRD or ≥10 km ARD · design Cross-sectional observational study · weak

passage withheld — license not verified for reproduction

Interactions between monthly training volume, frequency and running distance per workout on marathon time. (2023) · doi 10.1007/s00421-022-05062-7

6

World-class distance runners perform ≥80% of total running volume at low intensity throughout the training year, with 11-14 sessions per week and weekly distances of 160-220 km for marathoners and 130-190 km for track runners.

pop. World-leading track runners (5000 and 10,000 m) and marathon specialists · direction positive - high training volume with low-intensity emphasis as characteristic of world-class performance · design review integrating scientific literature and results-proven practice · moderate

passage withheld — license not verified for reproduction

The Training Characteristics of World-Class Distance Runners: An Integration of Scientific Literature and Results-Proven Practice (2022) · doi 10.1186/s40798-022-00438-7

7

Runners covering less than 15 km per week and/or running slower than 6 min/km may sustain more running-related injuries than counterpart runners during a 14-week half-marathon training program.

pop. Healthy runners (n=784) following a specific half-marathon running schedule · direction negative (lower injury risk with higher weekly volume and faster pace) · design prospective cohort study · moderate

passage withheld — license not verified for reproduction

ProjectRun21: Do running experience and running pace influence the risk of running injury-A 14-week prospective cohort study. (2019) · doi 10.1016/j.jsams.2018.08.014