Non-modifiable and Modifiable Risk Factors in Vascular Ageing Extremes: The African-PREDICT Study

Abstract Background Cardiovascular risk factors accelerate vascular ageing beyond chronological age, hence early vascular ageing (EVA). Carotid to femoral pulse wave velocity (cfPWV) is a measure of vascular ageing and is used to identify EVA and supernormal vascular ageing (SUPERNOVA). Vascular age...

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Main Authors: Donavan Rooi, Ruan Kruger, Esmé Jansen van Vuren, Yolandi Breet
Format: Article
Language:English
Published: BMC 2024-11-01
Series:Artery Research
Subjects:
Online Access:https://doi.org/10.1007/s44200-024-00063-7
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author Donavan Rooi
Ruan Kruger
Esmé Jansen van Vuren
Yolandi Breet
author_facet Donavan Rooi
Ruan Kruger
Esmé Jansen van Vuren
Yolandi Breet
author_sort Donavan Rooi
collection DOAJ
description Abstract Background Cardiovascular risk factors accelerate vascular ageing beyond chronological age, hence early vascular ageing (EVA). Carotid to femoral pulse wave velocity (cfPWV) is a measure of vascular ageing and is used to identify EVA and supernormal vascular ageing (SUPERNOVA). Vascular ageing is not completely understood in African populations. Therefore, we aimed to phenotype young South African adults stratified by cfPWV extremes in terms of non-modifiable and modifiable risk factors. This study included 1133 young adults (mean age: 24.5 years). We measured cfPWV using applanation tonometry. Body composition measures, self-reported 24-h dietary intake, smoking and alcohol consumption were included. Fasting blood samples were analysed for biochemical risk factors. Three groups based on cfPWV percentiles were compared and included SUPERNOVA (≤ 10th percentile), average vascular ageing (AVA, between 10 to 90th percentile) and EVA (≥ 90th percentile). Results Chronological age, male sex, smoking, alcohol use, and blood pressure were incrementally higher across PWV groups (all p trend ≤ 0.007). Black ethnicity was higher (p = 0.038) in the SUPERNOVA group. In exploratory factor analysis, a factor pattern including mean arterial pressure and fasting glucose showed beneficial odds (OR 0.62, p = 0.002) for SUPERNOVA and higher likelihood (OR 2.10, p < 0.001) for EVA. Another factor pattern of socio-economic status and total dietary fat showed lower odds (OR 0.64, p = 0.003) for EVA. Conclusion Poor lifestyle behavioural risk factors seem detrimental in the EVA group conferring a possible higher risk of future CVD.
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spelling doaj-art-3938f7adb2d9428c8127a08ab63e9fc82025-02-02T12:14:53ZengBMCArtery Research1876-44012024-11-013011810.1007/s44200-024-00063-7Non-modifiable and Modifiable Risk Factors in Vascular Ageing Extremes: The African-PREDICT StudyDonavan Rooi0Ruan Kruger1Esmé Jansen van Vuren2Yolandi Breet3Hypertension in Africa Research Team (HART), North-West UniversityHypertension in Africa Research Team (HART), North-West UniversityHypertension in Africa Research Team (HART), North-West UniversityHypertension in Africa Research Team (HART), North-West UniversityAbstract Background Cardiovascular risk factors accelerate vascular ageing beyond chronological age, hence early vascular ageing (EVA). Carotid to femoral pulse wave velocity (cfPWV) is a measure of vascular ageing and is used to identify EVA and supernormal vascular ageing (SUPERNOVA). Vascular ageing is not completely understood in African populations. Therefore, we aimed to phenotype young South African adults stratified by cfPWV extremes in terms of non-modifiable and modifiable risk factors. This study included 1133 young adults (mean age: 24.5 years). We measured cfPWV using applanation tonometry. Body composition measures, self-reported 24-h dietary intake, smoking and alcohol consumption were included. Fasting blood samples were analysed for biochemical risk factors. Three groups based on cfPWV percentiles were compared and included SUPERNOVA (≤ 10th percentile), average vascular ageing (AVA, between 10 to 90th percentile) and EVA (≥ 90th percentile). Results Chronological age, male sex, smoking, alcohol use, and blood pressure were incrementally higher across PWV groups (all p trend ≤ 0.007). Black ethnicity was higher (p = 0.038) in the SUPERNOVA group. In exploratory factor analysis, a factor pattern including mean arterial pressure and fasting glucose showed beneficial odds (OR 0.62, p = 0.002) for SUPERNOVA and higher likelihood (OR 2.10, p < 0.001) for EVA. Another factor pattern of socio-economic status and total dietary fat showed lower odds (OR 0.64, p = 0.003) for EVA. Conclusion Poor lifestyle behavioural risk factors seem detrimental in the EVA group conferring a possible higher risk of future CVD.https://doi.org/10.1007/s44200-024-00063-7AgeingPulse wave velocityRisk factorsRisk stratificationArterial stiffness
spellingShingle Donavan Rooi
Ruan Kruger
Esmé Jansen van Vuren
Yolandi Breet
Non-modifiable and Modifiable Risk Factors in Vascular Ageing Extremes: The African-PREDICT Study
Artery Research
Ageing
Pulse wave velocity
Risk factors
Risk stratification
Arterial stiffness
title Non-modifiable and Modifiable Risk Factors in Vascular Ageing Extremes: The African-PREDICT Study
title_full Non-modifiable and Modifiable Risk Factors in Vascular Ageing Extremes: The African-PREDICT Study
title_fullStr Non-modifiable and Modifiable Risk Factors in Vascular Ageing Extremes: The African-PREDICT Study
title_full_unstemmed Non-modifiable and Modifiable Risk Factors in Vascular Ageing Extremes: The African-PREDICT Study
title_short Non-modifiable and Modifiable Risk Factors in Vascular Ageing Extremes: The African-PREDICT Study
title_sort non modifiable and modifiable risk factors in vascular ageing extremes the african predict study
topic Ageing
Pulse wave velocity
Risk factors
Risk stratification
Arterial stiffness
url https://doi.org/10.1007/s44200-024-00063-7
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