Accelerometer-based physical activity is associated with the gut microbiota in 8416 individuals in SCAPIS
(2024) In EBioMedicine 100.- Abstract
Background: Previous population-based studies investigating the relationship between physical activity and the gut microbiota have relied on self-reported activity, prone to reporting bias. Here, we investigated the associations of accelerometer-based sedentary (SED), moderate-intensity (MPA), and vigorous-intensity (VPA) physical activity with the gut microbiota using cross-sectional data from the Swedish CArdioPulmonary bioImage Study. Methods: In 8416 participants aged 50–65, time in SED, MPA, and VPA were estimated with hip-worn accelerometer. Gut microbiota was profiled using shotgun metagenomics of faecal samples. We applied multivariable regression models, adjusting for sociodemographic, lifestyle, and technical covariates, and... (More)
Background: Previous population-based studies investigating the relationship between physical activity and the gut microbiota have relied on self-reported activity, prone to reporting bias. Here, we investigated the associations of accelerometer-based sedentary (SED), moderate-intensity (MPA), and vigorous-intensity (VPA) physical activity with the gut microbiota using cross-sectional data from the Swedish CArdioPulmonary bioImage Study. Methods: In 8416 participants aged 50–65, time in SED, MPA, and VPA were estimated with hip-worn accelerometer. Gut microbiota was profiled using shotgun metagenomics of faecal samples. We applied multivariable regression models, adjusting for sociodemographic, lifestyle, and technical covariates, and accounted for multiple testing. Findings: Overall, associations between time in SED and microbiota species abundance were in opposite direction to those for MPA or VPA. For example, MPA was associated with lower, while SED with higher abundance of Escherichia coli. MPA and VPA were associated with higher abundance of the butyrate-producers Faecalibacterium prausnitzii and Roseburia spp. We observed discrepancies between specific VPA and MPA associations, such as a positive association between MPA and Prevotella copri, while no association was detected for VPA. Additionally, SED, MPA and VPA were associated with the functional potential of the microbiome. For instance, MPA was associated with higher capacity for acetate synthesis and SED with lower carbohydrate degradation capacity. Interpretation: Our findings suggest that sedentary and physical activity are associated with a similar set of gut microbiota species but in opposite directions. Furthermore, the intensity of physical activity may have specific effects on certain gut microbiota species. Funding: European Research Council, Swedish Heart-Lung Foundation, Swedish Research Council, Knut and Alice Wallenberg Foundation.
(Less)
- author
- organization
- publishing date
- 2024
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Accelerometery, Epidemiology, Exercise, Gastrointestinal microbiome, Sedentary behaviour
- in
- EBioMedicine
- volume
- 100
- article number
- 104989
- publisher
- Elsevier
- external identifiers
-
- pmid:38301483
- scopus:85183958910
- ISSN
- 2352-3964
- DOI
- 10.1016/j.ebiom.2024.104989
- language
- English
- LU publication?
- yes
- id
- 59dd698e-633c-415e-ba2e-7ec8a9f2e15f
- date added to LUP
- 2024-03-08 11:37:45
- date last changed
- 2024-04-23 16:22:11
@article{59dd698e-633c-415e-ba2e-7ec8a9f2e15f,
abstract = {{<p>Background: Previous population-based studies investigating the relationship between physical activity and the gut microbiota have relied on self-reported activity, prone to reporting bias. Here, we investigated the associations of accelerometer-based sedentary (SED), moderate-intensity (MPA), and vigorous-intensity (VPA) physical activity with the gut microbiota using cross-sectional data from the Swedish CArdioPulmonary bioImage Study. Methods: In 8416 participants aged 50–65, time in SED, MPA, and VPA were estimated with hip-worn accelerometer. Gut microbiota was profiled using shotgun metagenomics of faecal samples. We applied multivariable regression models, adjusting for sociodemographic, lifestyle, and technical covariates, and accounted for multiple testing. Findings: Overall, associations between time in SED and microbiota species abundance were in opposite direction to those for MPA or VPA. For example, MPA was associated with lower, while SED with higher abundance of Escherichia coli. MPA and VPA were associated with higher abundance of the butyrate-producers Faecalibacterium prausnitzii and Roseburia spp. We observed discrepancies between specific VPA and MPA associations, such as a positive association between MPA and Prevotella copri, while no association was detected for VPA. Additionally, SED, MPA and VPA were associated with the functional potential of the microbiome. For instance, MPA was associated with higher capacity for acetate synthesis and SED with lower carbohydrate degradation capacity. Interpretation: Our findings suggest that sedentary and physical activity are associated with a similar set of gut microbiota species but in opposite directions. Furthermore, the intensity of physical activity may have specific effects on certain gut microbiota species. Funding: European Research Council, Swedish Heart-Lung Foundation, Swedish Research Council, Knut and Alice Wallenberg Foundation.</p>}},
author = {{Baldanzi, Gabriel and Sayols-Baixeras, Sergi and Ekblom-Bak, Elin and Ekblom, Örjan and Dekkers, Koen F. and Hammar, Ulf and Nguyen, Diem and Ahmad, Shafqat and Ericson, Ulrika and Arvidsson, Daniel and Börjesson, Mats and Johanson, Peter J. and Smith, J. Gustav and Bergström, Göran and Lind, Lars and Engström, Gunnar and Ärnlöv, Johan and Kennedy, Beatrice and Orho-Melander, Marju and Fall, Tove}},
issn = {{2352-3964}},
keywords = {{Accelerometery; Epidemiology; Exercise; Gastrointestinal microbiome; Sedentary behaviour}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{EBioMedicine}},
title = {{Accelerometer-based physical activity is associated with the gut microbiota in 8416 individuals in SCAPIS}},
url = {{http://dx.doi.org/10.1016/j.ebiom.2024.104989}},
doi = {{10.1016/j.ebiom.2024.104989}},
volume = {{100}},
year = {{2024}},
}