Associations Between Physical Activity Measurement Modality and Gut Microbiome in Breast Cancer Survivors

Background/Objectives: Physical activity (PA), physiological fitness, and the gut microbiome have each been linked to health outcomes among breast cancer survivors (BCS); however, these associations have been inconsistent. Few studies have directly compared the associations of self-reported PA, accelerometer-derived PA, and physiological fitness with the gut microbiome within the same population. This study evaluated whether associations with gut microbiome outcomes vary by PA and fitness measurement modality in post-primary treatment BCS. Methods: Baseline data from 69 BCS enrolled in a randomized controlled trial were analyzed. PA was assessed using self-reported moderate-to-vigorous PA (MVPA) and accelerometer-derived light PA (LPA), MVPA, and sedentary behaviors. Physiological fitness was evaluated using peak oxygen uptake (V˙O2peak) and related fitness metrics. Gut microbiome outcomes included α-diversity, β-diversity, and exploratory taxa-level analyses derived from 16S rRNA sequencing. Associations were evaluated using correlation and regression analyses, with adjustment for relevant clinical covariates. Results: Accelerometer-derived PA, particularly MVPA, demonstrated the strongest and most consistent associations with α-diversity and β-diversity, whereas physiological fitness measures showed only weak associations. Sedentary behavior was inversely associated with both diversity metrics, while self-reported MVPA was not associated with diversity indices. Medication burden and comorbidity status attenuated several PA-microbiome associations, and no taxa-level associations remained significant after correction for multiple testing. Conclusions: Associations between PA, fitness, and gut microbiome outcomes varied according to measurement modality. Accelerometer-derived MVPA demonstrated more consistent associations with microbiome diversity and composition than self-reported MVPA or physiological fitness. Future studies should incorporate multiple complementary measures of PA and fitness when examining PA–microbiome relationships.

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Publication Details

Journal
Nutrients
Published
2026-10-07
DOI
https://doi.org/10.3390/nu18193286
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
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article

Associations Between Physical Activity Measurement Modality and Gut Microbiome in Breast Cancer Survivors

Lyse A. Norian, Bülent Turan, Laura Q. Rogers, Helen Krontiras et al.
Nutrients
Gut microbiota and health
article

Associations Between Physical Activity Measurement Modality and Gut Microbiome in Breast Cancer Survivors

Lyse A. Norian, Bülent Turan, Laura Q. Rogers, Helen Krontiras, Whitney N. Neal, Erica A. Schleicher, Rebecca B. Little, Robert A. Oster, Elliot J. Lefkowitz, Stephen J. Carter, Keri M. Kemp, Jin Lu, Gary R. Hunter, Robert W. Motl
article en

Abstract

Background/Objectives: Physical activity (PA), physiological fitness, and the gut microbiome have each been linked to health outcomes among breast cancer survivors (BCS); however, these associations have been inconsistent. Few studies have directly compared the associations of self-reported PA, accelerometer-derived PA, and physiological fitness with the gut microbiome within the same population. This study evaluated whether associations with gut microbiome outcomes vary by PA and fitness measurement modality in post-primary treatment BCS. Methods: Baseline data from 69 BCS enrolled in a randomized controlled trial were analyzed. PA was assessed using self-reported moderate-to-vigorous PA (MVPA) and accelerometer-derived light PA (LPA), MVPA, and sedentary behaviors. Physiological fitness was evaluated using peak oxygen uptake (V˙O2peak) and related fitness metrics. Gut microbiome outcomes included α-diversity, β-diversity, and exploratory taxa-level analyses derived from 16S rRNA sequencing. Associations were evaluated using correlation and regression analyses, with adjustment for relevant clinical covariates. Results: Accelerometer-derived PA, particularly MVPA, demonstrated the strongest and most consistent associations with α-diversity and β-diversity, whereas physiological fitness measures showed only weak associations. Sedentary behavior was inversely associated with both diversity metrics, while self-reported MVPA was not associated with diversity indices. Medication burden and comorbidity status attenuated several PA-microbiome associations, and no taxa-level associations remained significant after correction for multiple testing. Conclusions: Associations between PA, fitness, and gut microbiome outcomes varied according to measurement modality. Accelerometer-derived MVPA demonstrated more consistent associations with microbiome diversity and composition than self-reported MVPA or physiological fitness. Future studies should incorporate multiple complementary measures of PA and fitness when examining PA–microbiome relationships.

NutrientsVol. 18(19)
Koç University (TR), University of Pittsburgh (US), Markey Cancer Center (US), University of Alabama at Birmingham (US), University of Illinois Chicago (US), Indiana University Bloomington (US)
Openalex Percentile: Top 22%
Gut microbiota and health
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