Related Experiment Video
Updated: Oct 18, 2025

Measuring the Motor Aspect of Cancer-Related Fatigue using a Handheld Dynamometer
Published on: February 20, 2020
A Prospective Study of Grip Strength Trajectories and Incident Cardiovascular Disease
Weida Liu1, Runzhen Chen2, Chenxi Song2
1State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Insights
A declining grip strength (GS) trajectory indicates a higher risk of developing cardiovascular disease (CVD). Monitoring GS patterns can help identify individuals at increased risk for CVD events.
Area of Science:
- Cardiology
- Epidemiology
- Gerontology
Background:
- Grip strength (GS) is a known predictor of cardiovascular disease (CVD) incidence.
- Long-term GS patterns and their association with incident CVD require further investigation.
Purpose of the Study:
- To characterize grip strength (GS) trajectories in a community-based cohort.
- To determine the association between long-term GS patterns and the incidence of major cardiovascular diseases (CVD).
Main Methods:
- Utilized data from 5,300 individuals without CVD from a British cohort, with GS measured in 2004, 2008, and 2012.
- Employed group-based trajectory modeling to identify long-term GS patterns.
- Applied Cox proportional hazard models to assess the relationship between GS trajectories and incident CVD over a median follow-up of 6.1 years.
Main Results:
- Identified three distinct GS trajectories for men and women.
- A low stable GS trajectory was significantly associated with a higher incidence of overall CVD (HR: 2.17), myocardial infarction (HR: 2.01), stroke (HR: 1.96), and heart failure (HR: 6.91) compared to a high stable GS group.
- These associations remained significant in fully adjusted models.
Conclusions:
- A trajectory of low grip strength (GS) is linked to an elevated risk of cardiovascular disease (CVD).
- Continuous monitoring of GS can serve as a valuable tool for identifying individuals at higher risk of CVD.
Abstract:
Background: A single measurement of grip strength (GS) could predict the incidence of cardiovascular disease (CVD). However, the long-term pattern of GS and its association with incident CVD are rarely studied. We aimed to characterize the GS trajectory and determine its association with the incidence of CVD (myocardial infarction, angina, stroke, and heart failure). Methods: This study included 5,300 individuals without CVD from a British community-based cohort in 2012 (the baseline). GS was repeatedly measured in 2004, 2008, and 2012. Long-term GS patterns were identified by the group-based trajectory model. Cox proportional hazard models were used to examine the associations between GS trajectories and incident CVD. We identified three GS trajectories separately for men and women based on the 2012 GS measurement and change patterns during 2004-2012. Results: After a median follow-up of 6.1 years (during 2012-2019), 392 participants developed major CVD, including 114 myocardial infarction, 119 angina, 169 stroke, and 44 heart failure. Compared with the high stable group, participants with low stable GS was associated with a higher incidence of CVD incidence [hazards ratio (HR): 2.17; 95% confidence interval (CI): 1.52-3.09; P <0.001], myocardial infarction (HR: 2.01; 95% CI: 1.05-3.83; P = 0.035), stroke (HR: 1.96; 95% CI: 1.11-3.46; P = 0.020), and heart failure (HR: 6.91; 95% CI: 2.01-23.79; P = 0.002) in the fully adjusted models. Conclusions: The low GS trajectory pattern was associated with a higher risk of CVD. Continuous monitoring of GS values could help identify people at risk of CVD.
Related Concept Videos
Longitudinal Research
Longitudinal Studies
Blood Studies for Cardiovascular System I: Cardiac Biomarkers
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...

