Relationships Between Anthropometric Variables and the Internal Carotid Blood Flow

Authors

Alexandra M. Blades, Baylor UniversityFollow
Jose M. Moris, Baylor UniversityFollow
Ryan Curtis, Baylor UniversityFollow
Christian J. Chang, Baylor UniversityFollow
Vineet K. Paidisetty, Baylor UniversityFollow
Garett Petty, Baylor UniversityFollow
Yunsuk KohFollow

Abstract

Assessment of peak systolic velocity (PSV) of the internal carotid artery (ICA) is utilized to examine stroke-symptomatic individuals for ICA stenosis. While a sedentary lifestyle is a common risk factor for ICA stenosis, a deeper understanding of how body composition affects ICA blood flow could provide insights before symptoms appear. PURPOSE: To examine the relationship between ICA blood flow and body composition variables. METHODS: ICA blood flow was assessed in eight healthy males (21.88 ± 2.25 years) on three different days to control for possible diurnal variability that could affect blood flow. Participants abstained from caffeine and physical activity for a minimum of 12 hours prior to each visit. Dual-energy X-ray absorptiometry was used to assess body fat percentage (BF%) and visceral fat area (VFA). Bioelectrical impedance (BIA) was used to assess body water percentage (BW%), metabolic age (MetA), and visceral fat rating (VFR). Participants rested supine with eyes closed for 5 minutes prior to assessment of ICA. B-mode doppler ultrasound sonography (7.5 MHz linear transducer) was used to measure PSV, end-diastolic velocity (EDV), resistance index (RI), and vessel diameter on the right ICA after 2 minutes of continual scanning with a 60° insonation angle. The relationship between ICA blood flow and body composition variables was examined via Pearson correlation analysis. RESULTS: BF% was positively correlated with ICA EDV (r = 0.669, p < 0.001) and ICA PSV (r = 0.416, p = 0.043) but negatively correlated with ICA diameter (r = -0.424, p = 0.039). VFA was positively correlated with ICA EDV (r = 0.505, p = 0.012). BW% was negatively correlated with ICA PSV (r = -0.417, p = 0.043) and EDV (r = -0.620, p < 0.001). MetA was positively correlated with ICA EDV (r = 0.630, p < 0.001) but negatively correlated with ICA RI (r = -0.509, p = 0.011) and diameter (r = -0.513, p = 0.010). Similarly, VFR was positively correlated with ICA EDV (r = 0.644, p < 0.001) but negatively correlated with ICA RI (r = -0.511, p = 0.011) and diameter (r = -0.496, p = 0.014). CONCLUSION: EDV has a greater correlation with body composition than PSV, suggesting that adiposity-related factors can describe ICA blood flow. Similarly, BIA might offer a solid and easy-to-attain procedure to indirectly assess ICA blood flow that warrants further research.

Recommended Citation

Blades, Alexandra M.; Moris, Jose M.; Curtis, Ryan; Chang, Christian J.; Paidisetty, Vineet K.; Petty, Garett; and Koh, Yunsuk (2023) "Relationships Between Anthropometric Variables and the Internal Carotid Blood Flow," International Journal of Exercise Science: Conference Proceedings: Vol. 2: Iss. 15, Article 59.
Available at: https://digitalcommons.wku.edu/ijesab/vol2/iss15/59