Xiaohua Liang1,2, Shaoyong Su2, Guang Hao2, Harold Snieder3, Frank Treiber4, Gaston Kapuku2, Xiaoling Wang2. 1. Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, Key Laboratory of Pediatrics in Chongqing, China International Science and Technology Cooperation Center of Child Development and Critical Disorders, Chongqing, China. 2. Georgia Prevention Institute, Medical College of Georgia, Augusta University, Augusta, Georgia, USA. 3. Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands. 4. College of Nursing, Medical University of South Carolina, Charleston, USA.
Abstract
OBJECTIVE: Increased arterial stiffness measured by pulse wave velocity (PWV) has been shown to be an important parameter of cardiovascular risk. Longitudinal development of PWV from youth to early adulthood and its possible sociodemographic, anthropometric, hemodynamic and behavioral moderators will be illustrated. METHODS: Individual growth curves of carotid-distal PWV across age were created for 559 African American and European American men and women with a maximum of five assessments over an average of 7-year follow-up (mean age at participants' first assessment, 22.3 ± 3.4). RESULTS: African Americans and men had significantly higher PWV than did European Americans and women (Ps < 0.01), respectively. A three-way interaction (P < 0.001) between age, sex and ethnicity was observed with African American men displaying a larger rate of increase in PWV with age than the other three ethnic and sex groups. The ethnicity and sex effects on PWV persisted when controlling for other moderators. Waist circumference was the strongest anthropometric predictor but its effect on PWV was only significant in women. Mean arterial pressure was the strongest hemodynamic predictor, marital status of parents was the strongest socioeconomic predictor and marijuana use was the strongest behavioral predictor of PWV. The best-fitting full model explained in total 59.4% of the between-subject variance in PWV with ethnicity, sex and age explaining 25.6%. CONCLUSION: We observed significant ethnic and sex differences in longitudinal trajectories of PWV in youth and young adults. In addition, individual differences in PWV growth can largely be explained by mean arterial pressure, waist, marital status of parents and marijuana use.
OBJECTIVE: Increased arterial stiffness measured by pulse wave velocity (PWV) has been shown to be an important parameter of cardiovascular risk. Longitudinal development of PWV from youth to early adulthood and its possible sociodemographic, anthropometric, hemodynamic and behavioral moderators will be illustrated. METHODS: Individual growth curves of carotid-distal PWV across age were created for 559 African American and European American men and women with a maximum of five assessments over an average of 7-year follow-up (mean age at participants' first assessment, 22.3 ± 3.4). RESULTS: African Americans and men had significantly higher PWV than did European Americans and women (Ps < 0.01), respectively. A three-way interaction (P < 0.001) between age, sex and ethnicity was observed with African American men displaying a larger rate of increase in PWV with age than the other three ethnic and sex groups. The ethnicity and sex effects on PWV persisted when controlling for other moderators. Waist circumference was the strongest anthropometric predictor but its effect on PWV was only significant in women. Mean arterial pressure was the strongest hemodynamic predictor, marital status of parents was the strongest socioeconomic predictor and marijuana use was the strongest behavioral predictor of PWV. The best-fitting full model explained in total 59.4% of the between-subject variance in PWV with ethnicity, sex and age explaining 25.6%. CONCLUSION: We observed significant ethnic and sex differences in longitudinal trajectories of PWV in youth and young adults. In addition, individual differences in PWV growth can largely be explained by mean arterial pressure, waist, marital status of parents and marijuana use.
Authors: Xiaoling Wang; Joseph C Poole; Frank A Treiber; Gregory A Harshfield; Coral D Hanevold; Harold Snieder Journal: Circulation Date: 2006-11-27 Impact factor: 29.690
Authors: J Caroline Dekkers; Robert H Podolsky; Frank A Treiber; Paule Barbeau; Bernard Gutin; Harold Snieder Journal: Am J Clin Nutr Date: 2004-04 Impact factor: 7.045
Authors: Jessica E Haley; Shalayna A Woodly; Stephen R Daniels; Bonita Falkner; Michael A Ferguson; Joseph T Flynn; Coral D Hanevold; Stephen R Hooper; Julie R Ingelfinger; Philip R Khoury; Marc B Lande; Lisa J Martin; Kevin E Meyers; Mark Mitsnefes; Richard C Becker; Bernard A Rosner; Joshua Samuels; Andrew H Tran; Elaine M Urbina Journal: Hypertension Date: 2022-06-28 Impact factor: 9.897