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

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Title:	Walking Pace Optimizes Conventional Cardiovascular Disease Risk Prediction Models Among Vulnerable Subpopulations: A Prospective Cohort Study.
Authors:	Wang L; The Fourth Affiliated Hospital, International School of Medicine, International Institutes of Medicine, and School of Nursing and Institute of Nursing Research Zhejiang University School of Medicine Zhejiang China.; Nursing School Zhejiang Chinese Medical University Zhejiang China., Li X; School of Public Health, The Second Affiliated Hospital, Zhejiang Key Laboratory of Intelligent Preventive Medicine Zhejiang University School of Medicine Zhejiang China.; Human Phenome Institute, Zhangjiang Fudan International Innovation Center Fudan University Hangzhou China., Jia X; School of Public Health, The Second Affiliated Hospital, Zhejiang Key Laboratory of Intelligent Preventive Medicine Zhejiang University School of Medicine Zhejiang China., Zheng Y; School of Public Health, The Second Affiliated Hospital, Zhejiang Key Laboratory of Intelligent Preventive Medicine Zhejiang University School of Medicine Zhejiang China., Liu Z; School of Public Health, The Second Affiliated Hospital, Zhejiang Key Laboratory of Intelligent Preventive Medicine Zhejiang University School of Medicine Zhejiang China., Shao J; The Fourth Affiliated Hospital, International School of Medicine, International Institutes of Medicine, and School of Nursing and Institute of Nursing Research Zhejiang University School of Medicine Zhejiang China.
Source:	Journal of the American Heart Association [J Am Heart Assoc] 2026 May 05; Vol. 15 (9), pp. e042337. Date of Electronic Publication: 2026 Apr 28.
Publication Type:	Journal Article
Journal Info:	Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 101580524 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2047-9980 (Electronic) Linking ISSN: 20479980 NLM ISO Abbreviation: J Am Heart Assoc Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	2047-9980
DOI:	10.1161/JAHA.125.042337