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Higher skeletal muscle mass is associated with higher blood pressure and left ventricular mass
Eduard Shantsila1,2, Alena Shantsila2,3, Matthew Sperrin4
1Department of Primary Care and Mental Health.
Insights
Higher skeletal muscle mass (SMM) is linked to increased blood pressure (BP) and left ventricular mass index (LVMI), independent of body fat. Further research is needed to confirm causality and optimal exercise strategies.
Area of Science:
- Cardiovascular Health
- Muscle Physiology
- Biostatistics
Background:
- Skeletal muscle mass (SMM) constitutes approximately 40% of total body mass.
- The precise relationship between SMM, blood pressure (BP), and cardiac structure remains incompletely understood.
- This study investigates the independent associations of SMM with BP and left ventricular mass index (LVMI).
Purpose of the Study:
- To examine the cross-sectional and longitudinal associations between skeletal muscle mass and blood pressure.
- To investigate the relationship between skeletal muscle mass and left ventricular mass index.
- To determine if these associations persist independently of adiposity.
Main Methods:
- Utilized cross-sectional and longitudinal cohort designs with data from 492,498 UK Biobank participants.
- Measured muscle mass using bioimpedance analysis (MMI), DEXA (lean mass index), and MRI (thigh MMI).
- Assessed fat mass index (FMI) and left ventricular mass index (LVMI) using bioimpedance, DEXA, and MRI; employed multivariable regression analysis.
Main Results:
- Higher muscle mass metrics were independently associated with higher systolic and diastolic blood pressure (SBP/DBP) in cross-sectional analyses.
- Longitudinal analyses revealed that increases in muscle mass were independently associated with increases in SBP and DBP.
- Elevated muscle mass and its changes were also independently associated with higher LVMI in both cross-sectional and cohort analyses.
Conclusions:
- Increased skeletal muscle mass is associated with elevated blood pressure and left ventricular mass index, irrespective of adiposity.
- The findings suggest a potential link between muscle mass and cardiovascular parameters.
- Further research is warranted to establish causality and identify optimal exercise interventions for cardiovascular health.
Background And Aims:
Skeletal muscles make up about 40% of the body mass, but the effects of skeletal muscle mass (SMM) on blood pressure (BP) and the heart remain unclear and were explored in this study.
Methods:
The study used cross-sectional and longitudinal cohort designs with data from 492 498 UK Biobank (ID 54078) participants without a history of stroke [mean (SD) age 56.5 (8.1) years, 45% men, 94% white]. Muscle mass index (MMI) was measured by bioimpedance analysis, lean mass index by DEXA, and thigh MMI by MRI, fat mass index (FMI) by bioimpedance and DEXA, left ventricular mass index (LVMI) by MRI. Multivariable regression was used to relate muscle mass, BP, and LVMI.
Results:
On cross-sectional analysis, people with hypertension have higher values of all muscle mass metrics, which were independently associated with higher SBP and DBP after adjustment for age, sex, use of BP-lowering drugs and their interactions. Each 1 kg/m 2 higher muscle mass was associated with higher SBP by 0.67 [95% confidence interval (CI) 0.63-0.71] mmHg for MMI, 0.82 (95% CI 0.68-0.97) mmHg for lean mass index and 4.7 (95% CI 4.3-5.1) mmHg for thigh MMI. On longitudinal cohort analyses, higher values of muscle mass changes were independently associated with higher SBP and DBP after adjustment for age, sex and FMI (for SBP per 1 kg/m 2 increase) MMI during first follow-up of 4.3 years was independently associated with 2.2 (95% CI 1.9-2.5) mmHg increase in SBP, with consistent findings during longer follow-ups and MMI assessment by DEXA and MRI ( P < 0.001 for all). Similarly, higher values of muscle mass metrics and their follow-up changes were independently associated with higher LVMI on cross-sectional and cohort analysis.
Conclusion:
Higher SMM is associated with higher BP and LVMI, independently of adiposity. Further research is needed to establish whether the observed association is causal and to identify the optimal exercise modes for optimal BP and better health outcomes.
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