ArticleMedComm2023
Predicting risk on cardiovascular or cerebrovascular disease based on a physical activity cohort: Results from APAC study.
Article in MedComm, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Association between mental work and biological aging: the mediating role of visceral adiposity index.Innovation in aging · 2025Article
- Associations of blood pressure in the third trimester and risk of venous thromboembolism postpartum.MedComm · 2024Article
- Predicting risk on cardiovascular or cerebrovascular disease based on a physical activity cohort: Results from APAC study.MedComm · 2023Article
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Authors and funding
11 authors.
Funding
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Abstract
Commonly used prediction models have been primarily constructed without taking physical activity into account. Using the Kailuan physical activity cohorts from Asymptomatic Polyvascular Abnormalities in Community (APAC) study, we developed a 9-year cardiovascular or cerebrovascular disease (CVD) risk prediction equation. Participants in this study were included from APAC cohort, which included 5440 participants from the Kailuan cohort in China. Cox proportional hazard regression model was applied to construct sex-specific risk prediction equations for the physical activity cohort (PA equation). Proposed equations were compared with the 10-year risk prediction model, which is developed for atherosclerotic cardiovascular disease risk in Chinese cohorts (China-PAR equation).
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