Evidence map›Paper›PMID 40913707›Full record

ArticleSports medicine (Auckland, N.Z.)2026

Training Volume and Training Frequency Changes Associated with Boston Marathon Race Performance.

Alexandra F DeJong Lempke, Kathryn E Ackerman, Trent Stellingwerff, Louise M Burke, Aaron L Baggish, Pierre A d'Hemecourt, Sophia Dyer, Chris Troyanos, Grace H Saville, Kaya Adelzadeh and 3 more

Abstract read
In one paragraph

Article in Sports medicine (Auckland, N.Z.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. A Systematic Review of the Factors Associated with Performance in Non-Elite Runners.Journal of functional morphology and kinesiology · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Alexandra F DeJong LempkeDepartment of Physical Medicine and Rehabilitation, School of Medicine, Virginia Commonwealth University, 1223 East Marshall Street, Richmond, USA. alexandra.lempke@vcuhealth.org.ORCID 0000-0002-5702-9184
Kathryn E AckermanWomen's Health, Sports & Performance Institute, Boston, USA.
Trent StellingwerffCanadian Sport Institute Pacific, Victoria, Canada.
Louise M BurkeMary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
Aaron L BaggishDepartment of Cardiology, Massachusetts General Hospital, Boston, USA.
Pierre A d'HemecourtHarvard Medical School, Boston, USA.
Sophia DyerBoston University School of Medicine, Boston, USA.
Chris TroyanosInternational Institute of Race Medicine, Plymouth, USA.
Grace H SavilleHarvard Medical School, Boston, USA.
Kaya AdelzadehHarvard Medical School, Boston, USA.
Bryan HoltzmanHarvard Medical School, Boston, USA.
Anthony C HackneyExercise and Sport Science; Nutrition, University of North Carolina, Chapel Hill, USA.
Kristin E WhitneyHarvard Medical School, Boston, USA.

Funding

Building Interdisciplinary Research Careers in Women's HealthK12AR084233 · NIAMS · VIRGINIA COMMONWEALTH UNIVERSITY · PI Barbara D. Boyan, SUSAN G. KORNSTEIN · 2023 to 2026
$2.2M
NIAMS NIH HHS K12 AR084233
6 · The paper itself

Abstract

backgroundPhysical training influences competitive marathon performance, including training volume and training frequency changes (TFCs) pre-race. Training intensity distribution (i.e., steady-state, quality sessions, interval training) and cross-training contribute to volume and TFCs that may influence performance.

objectiveThe aim of this study is to assess the relationships among training and TFCs preceding the 2022 Boston Marathon and race performance.

methodsAdult 2022 Boston Marathon registrants were contacted via email 1 month pre-race. Athletes reported demographics, training/racing experience, and training pre-race. TFCs were calculated by comparing two timeframes: 12-4 and 4-0 month pre-race training. Official race performance was obtained from chip timing data and demographics. Separate linear regressions were used to assess the effects of training and cross-training in 12-4 and 4-0 months pre-race and TFCs on performance, accounting for experience and demographics.

resultsIn total, 917 athletes were included (female: n = 495, 3:53 ± 0:37 h race times, 64.4 ± 24 km/week weekly distance; male: n = 422; 3:35 ± 0:39 h race times, 67.6 ± 26.2 km/week weekly distance). Higher running distance/week, running sessions/week (n), quality sessions/week ("hard sessions"; n), average distance in the 12-4 and 4-0 months pre-race (p ≤ 0.050), and more cross-training (p < 0.001) in the 4-0 months pre-race were associated with faster times and performance. Runners with TFCs of decreased running sessions/week (p = 0.035) had faster times and better performance versus athletes who maintained/increased volume.

conclusionHabitually higher training exposure 12-4 and 4-0 months, but relatively reduced training frequency 4-0 months pre-race, contributed to better marathon performance.

Indexed as

Athletic PerformanceMarathon RunningPhysical Conditioning, HumanRunningAdultBostonCompetitive BehaviorFemaleHumansMaleMiddle AgedTime Factors

Identifiers

PMID40913707
PMCPMC12441744

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.