Key result
Low muscle mass plus high waist circumference is linked to ~3.2-fold higher peripheral vascular disease risk.
Why the study?
There is little epidemiological data on the role of body composition phenotypes in diabetes and hypertension prevalence among patients with peripheral and cerebral vascular disease.
Does body composition phenotype interact with blood pressure and diabetes prevalence in patients with peripheral and cerebral vascular disease?
Cross-Sectional (n=233)
Does body composition phenotype interact with blood pressure and diabetes prevalence in patients with peripheral and cerebral vascular disease?
Answers are grounded in this paper and cite their sources.
Adverse body composition phenotypes, specifically combining low skeletal muscle mass and high adiposity, are associated with significantly higher blood pressure and increased risk of peripheral and cerebral vascular disease.
Introduction: Background: peripheral (PVD) and cerebral vascular disease (CeVD) are two vascular conditions of relevance in older adults. However, there is little epidemiological studies about the body composition role (i.e., skeletal muscle mass [by calf circumference] and adiposity [by waist circumference]) in the diabetes and hypertension (HTN) prevalence in PVD and CeVD conditions. Aim: to describe the characteristics of population with PVD and CeVD by different body composition phenotypes and determine the interaction between PVD/CeVD, and body composition with the HTN and diabetes prevalence. Methods: a cross-sectional study of the Chilean population based on the National Health Survey 2016-2017. A sample size of n = 233 participants was characterized according to previous PVD and CeVD or not No-PVD/No-CeVD history. Four body composition phenotypes were described such as; low skeletal muscle mass plus high waist circumference (Lsmm-Hwc), low skeletal muscle mass plus low waist circumference (Lsmm-Lwc), high skeletal muscle mass plus high waist circumference (Hsmm-Hwc), and high skeletal muscle mass plus low waist circumference (Hsmm-Lwc), by main outcomes as systolic (SBP), and diastolic BP (DBP) and fasting glucose. Results: there was a significant interaction between body composition (Groups x CeVD), in SBP (CeVD, F (3.40), p = 0.002, ES: 0.007), where SBP in Lsmm-Lwc was higher (diff +28 mmHg) versus the Hsmm-Lwc reference group. Lsmm-Hwc (odds ratio [OR], 3.2 [1.8; 5.9], p < 0.0001), Lsmm-Lwc (OR, 1.7 [1.0; 3.1], p = 0.047), and Hsmm-Hwc (OR, 2.2 [1.5; 3.3], p < 0.0001) showed a higher risk for suffering from PVD vs. Hsmm-Lwc group. Conclusion: Chilean adults with both PVD and CeVD are shown to be aged 60, with obesity and hypertensive condition, and report lower handgrip strength in comparison with adult peers with higher muscle mass and lower waist circumference.
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Delgado‐Floody et al. (2025) conducted a cross-sectional in Peripheral and cerebral vascular disease (n=233). Low skeletal muscle mass plus high waist circumference (Lsmm-Hwc) vs. High skeletal muscle mass plus low waist circumference (Hsmm-Lwc) was evaluated on Risk of peripheral vascular disease (PVD) (OR 3.2, 95% CI 1.8-5.9, p=<0.0001). Low skeletal muscle mass combined with high waist circumference was associated with a significantly higher risk of peripheral vascular disease (OR 3.2; 95% CI 1.8-5.9; p<0.0001).
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