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Abstract
Escherichia coli harboring polyketide synthase (pks+E. coli) has been suggested to contribute to colorectal cancer development. Physical activity is strongly associated with lower colorectal cancer risks, but its effects on pks+E. coli remain unclear. The aim of this study was to investigate the association between pks+E. coli prevalence and physical activity. A cross-sectional study was conducted on 222 Japanese adults (27–79-years-old, 73.9% female). Triaxial accelerometers were used to measure light-intensity physical activity, moderate-to-vigorous intensity physical activity, the physical activity level, step-count, and time spent inactive. Fecal samples collected from participants were used to determine the prevalence of pks+E. coli. Multivariate logistic regression analysis and restricted cubic spline curves were used to examine the association between pks+E. coli prevalence and physical activity. The prevalence of pks+E. coli was 26.6% (59/222 participants). The adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the highest tertile with reference to the lowest tertile of physical activity variables were as follows: light-intensity physical activity (OR 0.63; 95% CI 0.26–1.5), moderate-to-vigorous intensity physical activity (OR 0.85; 95% CI 0.39–1.87), physical activity level (OR 0.69; 95% CI 0.32–1.51), step-count (OR 0.92; 95% CI 0.42–2.00) and time spent inactive (OR 1.30; 95% CI 0.58–2.93). No significant dose–response relationship was found between all physical activity variables and pks+E. coli prevalence. Our findings did not suggest that physical activity has beneficial effects on the prevalence of pks+E. coli. Longitudinal studies targeting a large population are needed to clarify this association.
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Details
1 National Institutes of Biomedical Innovation, Health and Nutrition, Department of Physical Activity Research, Tokyo, Japan (GRID:grid.482562.f)
2 National Institutes of Biomedical Innovation, Health and Nutrition, Department of Physical Activity Research, Tokyo, Japan (GRID:grid.482562.f); National Institutes of Biomedical Innovation, Health and Nutrition, Laboratory of Gut Microbiome for Health, Microbial Research Center for Health and Medicine, Osaka, Japan (GRID:grid.482562.f)
3 National Institutes of Biomedical Innovation, Health and Nutrition, Department of Physical Activity Research, Tokyo, Japan (GRID:grid.482562.f); Waseda University, Faculty of Sport Sciences, Saitama, Japan (GRID:grid.5290.e) (ISNI:0000 0004 1936 9975)
4 National Institutes of Biomedical Innovation, Health and Nutrition, Department of Physical Activity Research, Tokyo, Japan (GRID:grid.482562.f); Kiryu University, Department of Nutrition, Gunma, Japan (GRID:grid.448781.6) (ISNI:0000 0004 0638 7154)
5 National Institutes of Biomedical Innovation, Health and Nutrition, Department of Physical Activity Research, Tokyo, Japan (GRID:grid.482562.f); Toyo University, Faculty of Food and Nutritional Sciences, Gunma, Japan (GRID:grid.265125.7) (ISNI:0000 0004 1762 8507)
6 National Institutes of Biomedical Innovation, Health and Nutrition, Department of Physical Activity Research, Tokyo, Japan (GRID:grid.482562.f); Ritsumeikan University, Faculty of Sport and Health Science, Shiga, Japan (GRID:grid.262576.2) (ISNI:0000 0000 8863 9909)
7 University of Shizuoka, Department of Pharmaceutical Sciences, Shizuoka, Japan (GRID:grid.469280.1) (ISNI:0000 0000 9209 9298)




