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Running distance is associated with how female runners distribute their daily energy expenditure (opens in a new tab)

medicalxpress.com · 2026-10-28

Short answerEvidenceSource

Short answer

Mostly supported

Mostly supported.

The claims we could check match the study, but some claims were not covered by the evidence reviewed.

  • 5 supported
  • 1 not covered

Checked against the study summary. The full text wasn't available, so some details couldn't be settled either way.

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Follow the evidence trail
1
2

NewsLink checks it

Mostly supported

Every claim we could check holds up. Five of six claims match the study. This overall rating is based only on the claims we could check. One claim the study doesn't address.

  • 5 supported
  • 1 not covered
Open claim evidence
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Then inspect each claim

Evidence layer

Claim by claim

Each claim gets a verdict. Expand it to see the evidence directly below.

6 claims in this story

Showing all 6 claimsChoose a verdict to focus the list.

Claim 1 of 6Not coveredThe article says similar patterns were observed in both groups, but further research is needed to determine whether menstrual status modifies these associations and whether the differences are beneficial or reflect early energy deficiency.View evidenceHide evidence

Why this verdict

The profile supports the similar directional associations in both menstrual-status groups and the limitation that the study was not powered to test effect modification. However, the additional interpretation about whether the differences are beneficial or reflect early energy deficiency is not present in the abstract-depth profile, so that part is not verifiable at this depth.

1

Study evidence

Total energy expenditure (TEE) and its components (SMR, RMR, NEAT, EEE) did not differ between amenorrhoeic and non-amenorrhoeic runners.

“examined their relationship with physical activity, particularly weekly running distance.”
Claim 2 of 6SupportedLonger weekly running distance was associated with greater energy expenditure during exercise, but total energy expenditure was not associated with running distance.View evidenceHide evidence

Why this verdict

The profile states that weekly running distance was positively associated with EEE and was not correlated with TEE. The headline framing remains associational and does not overstate causality.

1

Study evidence

Total energy expenditure (TEE) and its components (SMR, RMR, NEAT, EEE) did not differ between amenorrhoeic and non-amenorrhoeic runners.

“examined their relationship with physical activity, particularly weekly running distance.”
Claim 3 of 6SupportedResearchers at University of Tsukuba compared total energy expenditure and its components in female runners with and without amenorrhea and assessed their associations with weekly running distance.View evidenceHide evidence

Why this verdict

The supplied profile supports that the study compared TEE and components between amenorrhoeic and non-amenorrhoeic female endurance runners and examined associations with weekly running distance. The University of Tsukuba affiliation is not independently evidenced in the supplied profile, but the scientific claim is supported.

1

Study evidence

Total energy expenditure (TEE) and its measured components (RMR, SMR, NEAT, EEE) did not differ between amenorrhoeic and non-amenorrhoeic runners.

“This study compared TEE components-SMR, RMR, non-exercise activity thermogenesis (NEAT), and EEE-between amenorrhoeic and non-amenorrhoeic runners”
2

Study evidence

Total energy expenditure (TEE) and its components (SMR, RMR, NEAT, EEE) did not differ between amenorrhoeic and non-amenorrhoeic runners.

“examined their relationship with physical activity, particularly weekly running distance.”
Claim 4 of 6SupportedThe study found that total energy expenditure and its components were similar in amenorrheic and non-amenorrheic runners.View evidenceHide evidence

Why this verdict

The profile states that TEE and its components—RMR, SMR, NEAT, and EEE—did not differ between amenorrhoeic and non-amenorrhoeic runners.

1

Study evidence

Total energy expenditure (TEE) and its measured components (RMR, SMR, NEAT, EEE) did not differ between amenorrhoeic and non-amenorrhoeic runners.

“This study compared TEE components-SMR, RMR, non-exercise activity thermogenesis (NEAT), and EEE-between amenorrhoeic and non-amenorrhoeic runners”
2

Study evidence

Total energy expenditure (TEE) and its components (SMR, RMR, NEAT, EEE) did not differ between amenorrhoeic and non-amenorrhoeic runners.

“examined their relationship with physical activity, particularly weekly running distance.”
Claim 5 of 6SupportedRunners covering longer distances tended to expend less energy during non-exercise activities, with lower non-exercise activity thermogenesis; resting and sleeping metabolic rates were also negatively associated with running distance, although those associations weakened after adjustment for fat-free and fat mass.View evidenceHide evidence

Why this verdict

The profile reports that weekly running distance was negatively associated with NEAT, positively associated with EEE, and that negative associations with RMR and SMR were attenuated after adjustment for body composition.

1

Study evidence

Total energy expenditure (TEE) and its components (SMR, RMR, NEAT, EEE) did not differ between amenorrhoeic and non-amenorrhoeic runners.

“examined their relationship with physical activity, particularly weekly running distance.”
Claim 6 of 6SupportedBecause the study was cross-sectional, the article says longitudinal studies are necessary to establish causality.View evidenceHide evidence

Why this verdict

The profile identifies the study as observational and cross-sectional and states that associations cannot establish causality. The specific wording that longitudinal studies are necessary is not quoted in the profile, but the substance of the causal-inference caveat is supported.

1

Study evidence

Total energy expenditure (TEE) and its measured components (RMR, SMR, NEAT, EEE) did not differ between amenorrhoeic and non-amenorrhoeic runners.

“This study compared TEE components-SMR, RMR, non-exercise activity thermogenesis (NEAT), and EEE-between amenorrhoeic and non-amenorrhoeic runners”
2

Study evidence

Total energy expenditure (TEE) and its components (SMR, RMR, NEAT, EEE) did not differ between amenorrhoeic and non-amenorrhoeic runners.

“examined their relationship with physical activity, particularly weekly running distance.”
Then look for missing context

Context layer

What the story left out

Important study details the story did not include.

  • TEE and components were measured using doubly labeled water, whole-room metabolic chamber measures, accelerometry/training reports, and subtraction-derived EEE.

    The story discusses the outcomes but does not describe the measurement stack used to obtain TEE, RMR, SMR, NEAT, and EEE.

    From Cross-sectional observational group comparison; Cross-sectional observational association analysis

  • Small sample size, including only 20 participants and 10 per menstrual-status subgroup, limits precision and statistical power.

    The story mentions need for further research on menstrual-status modification but does not report the small overall and subgroup sample sizes, an important limitation for interpreting null group differences and subgroup patterns.

    From Cross-sectional observational group comparison; Cross-sectional observational association analysis

7 things the story did carry across
  • The study was a cross-sectional observational analysis of 20 female middle- and long-distance runners, 10 amenorrhoeic and 10 non-amenorrhoeic.
  • TEE and its components did not differ between amenorrhoeic and non-amenorrhoeic runners.
  • Weekly running distance was not correlated with TEE, was negatively associated with NEAT, and was positively associated with EEE.
  • Negative associations between weekly running distance and RMR/SMR were attenuated after adjustment for body composition.
  • Similar directional associations were observed in both menstrual-status groups, but the study was not powered to test effect modification by menstrual status.
  • The observational cross-sectional design limits causal inference.
  • The abstract-depth profile provides no numerical effect sizes, confidence intervals, or p-values for the reported comparisons and associations.
Then read the study layer

Study layer

Study at a glance

Scan the study first. Expand only the parts you want to inspect.

Pieces of work

2

Evidence read

study summary

Lead result

human in vivo

1Lead resulthuman in vivoCompare total energy expenditure (TEE) and its components (RMR, SMR, NEAT, EEE) between amenorrhoeic and non-amenorrhoeic female endurance runners under free-living conditions.Cross-sectional observational group comparisonExpand

In plain English

In a two-group observational study of 20 female middle- and long-distance runners (10 amenorrhoeic, 10 non-amenorrhoeic), total energy expenditure (TEE) and component measures (resting metabolic rate [RMR], sleeping metabolic rate [SMR], non-exercise activity thermogenesis [NEAT], and exercise energy expenditure [EEE]) were measured using doubly labeled water (TEE, body composition), a whole-room metabolic chamber (RMR, SMR), accelerometry plus training reports (NEAT), and calculation by subtraction (EEE). The groups did not differ in TEE or its component expenditures. Weekly running distance was not correlated with TEE, was negatively associated with NEAT and positively associated with EEE, and showed negative associations with RMR and SMR that were attenuated after adjustment for body composition. Similar directional associations were observed within both menstrual-status groups, but the study was not powered to test effect modification by menstrual status. Findings were interpreted as consistent with a constrained TEE model in chronically trained runners.

Key findings

  • Total energy expenditure (TEE) and its measured components (RMR, SMR, NEAT, EEE) did not differ between amenorrhoeic and non-amenorrhoeic runners.
  • Weekly running distance was not correlated with TEE but was negatively associated with NEAT and positively associated with EEE.
“This study compared TEE components-SMR, RMR, non-exercise activity thermogenesis (NEAT), and EEE-between amenorrhoeic and non-amenorrhoeic runners”
What this piece can’t prove
  • Small sample size (n=20; 10 per group), limiting statistical power and precision.
  • Observational, cross-sectional group comparison—associations cannot establish causality.
  • Abstract provides no numerical effect sizes, confidence intervals, or p-values for reported comparisons and associations.
  • Study not powered to test effect modification by menstrual status (explicitly stated).
2human in vivoTest whether weekly running distance (training volume/physical activity) is associated with TEE and with specific TEE components (NEAT, EEE, RMR, SMR), consistent with a constrained TEE model, and assess whether associations are similar by menstrual status (exploratory).Cross-sectional observational association analysisExpand

In plain English

In 20 female middle- and long-distance runners (10 amenorrhoeic, 10 non-amenorrhoeic), weekly running distance was not correlated with total energy expenditure (TEE) but showed negative associations with non-exercise activity thermogenesis (NEAT) and positive associations with exercise energy expenditure (EEE). Negative associations between weekly running distance and resting metabolic rate (RMR) and sleeping metabolic rate (SMR) were attenuated after adjustment for body composition. TEE and its components did not differ between amenorrhoeic and non-amenorrhoeic runners, and similar directional associations by menstrual status were reported though the study was not powered to test effect modification. Findings were interpreted as consistent with a constrained TEE model.

Key findings

  • Total energy expenditure (TEE) and its components (SMR, RMR, NEAT, EEE) did not differ between amenorrhoeic and non-amenorrhoeic runners.
  • Weekly running distance was not correlated with total energy expenditure (TEE).
“examined their relationship with physical activity, particularly weekly running distance.”
What this piece can’t prove
  • Small sample size (n=20) limits precision and statistical power.
  • Study was not powered to test effect modification by menstrual status (interaction).
  • Observational cross-sectional associations limit causal inference.
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Papers considered

The selected paper, plus nearby candidates.

PubMed, Europe PMC, Crossref · 19 candidate papers

And 13 more candidates considered.