Walking Pace Optimizes Conventional Cardiovascular Disease Risk Prediction Models Among Vulnerable Subpopulations: A Prospective Cohort Study.

Wang L, Li X, Jia X, Zheng Y, Liu Z, Shao J

Open source

DOI
10.1161/jaha.125.042337
Published
2026 May 5
Container
Journal of the American Heart Association
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1161/jaha.125.042337,
  title = {Walking Pace Optimizes Conventional Cardiovascular Disease Risk Prediction Models Among Vulnerable Subpopulations: A Prospective Cohort Study.},
  author = {Wang L and Li X and Jia X and Zheng Y and Liu Z and Shao J},
  year = {2026},
  journal = {Journal of the American Heart Association},
  doi = {10.1161/jaha.125.042337},
  url = {https://doi.org/10.1161/jaha.125.042337}
}

RIS

TY  - JOUR
TI  - Walking Pace Optimizes Conventional Cardiovascular Disease Risk Prediction Models Among Vulnerable Subpopulations: A Prospective Cohort Study.
AU  - Wang L
AU  - Li X
AU  - Jia X
AU  - Zheng Y
AU  - Liu Z
AU  - Shao J
PY  - 2026
JO  - Journal of the American Heart Association
DO  - 10.1161/jaha.125.042337
UR  - https://doi.org/10.1161/jaha.125.042337
ER  - 

APA

L, W., X, L., X, J., Y, Z., Z, L., & J, S. (2026). Walking Pace Optimizes Conventional Cardiovascular Disease Risk Prediction Models Among Vulnerable Subpopulations: A Prospective Cohort Study.. Journal of the American Heart Association. https://doi.org/10.1161/jaha.125.042337

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