» Articles » PMID: 30461641

A Body Shape Index and Vascular Structure and Function in Spanish Adults (MARK Study): A Cross-sectional Study

Abstract

A body shape index (ABSI) has been introduced as a marker of the relationship between body composition and all-cause mortality. However, until now, the relationships between ABSI and vascular structure and function have not been evaluated. The aim of this study was to investigate the association of ABSI with vascular structure and function in Spanish adults with intermediate cardiovascular risk. This cross-sectional study analyzed the data of 2354 subjects [age, 35-74 years (median, 62.0 years [range, 56.0-67.0 years]), 61.9% men] enrolled into the MediAte Risk management (MARK) study. ABSI was calculated by using the following formula: ABSI = waist circumference (m)/[body mass index × height (m))]. Vascular function was assessed by measuring cardio-ankle vascular index (CAVI) with the VaSera device and brachial ankle pulse wave velocity (baPWV) by using a validated equation. Vascular structure was assessed by measuring carotid intima-media thickness (IMT) by ultrasonography. Median value of ABSI was 0.083 (range, 0.081-0.090), mean CAVI was (8.5 ± 1.2), and median IMT was 0.727 (range, 0.672-0.799). The values of ABSI and CAVI were higher in men. After adjusting for confounders, ABSI was positively associated with CAVI, baPWV, and average mean IMT. Thus, for each unit increase in ABSI, CAVI increased by 0.16 units, baPWV by 0.25 m/s, and IMT by 0.033 mm. In the logistic regression analysis, the odds ratio of ABSI was > 1 for high CAVI ≥ 9, baPWV ≥ 15 m/s, and IMT ≥ 0.90 mm in the overall subject group, and in the sex- and age-specific (> 62 years, ≤ 62 years) subgroups, after adjusting for confounders. The area under the receiver-operating characteristic curve of the ABSI was 0.631 (95% confidence interval [CI], 0.608-0.654) for CAVI ≥ 9, and 0.617 (95% CI, 0.593-0.641) for high baPWV ≥ 15 m/s. ABSI showed a positive association with vascular structure and function, independent of other confounders that might influence weight and fat mass distribution in Spanish subjects at intermediate cardiovascular risk.Trial Registration: ClinicalTrials.gov Identifier: NCT01428934 (registered: September 2, 2011; last updated: September 8, 2016).

Citing Articles

Association between body shape index and arterial stiffness: results of the EVasCu study and a meta-analysis.

Saz-Lara A, Cavero-Redondo I, Moreno-Herraiz N, Rescalvo-Fernandez E, Berlanga-Macias C, Medrano M Int J Obes (Lond). 2024; .

PMID: 39468316 DOI: 10.1038/s41366-024-01663-8.


Relationship between the novel and traditional anthropometric indices and subclinical atherosclerosis evaluated by carotid intima-media thickness (c-IMT).

Costo-Muriel C, Calderon-Garcia J, Rico-Martin S, Galan-Gonzalez J, Escudero-Sanchez G, Sanchez-Bacaicoa C Front Nutr. 2023; 10:1170450.

PMID: 37457970 PMC: 10348712. DOI: 10.3389/fnut.2023.1170450.


Cardio-ankle vascular index is more closely associated than brachial-ankle pulse wave velocity with arterial damage and risk of cardiovascular disease in patients with diabetes.

Saigusa T, Watanabe K, Hada Y, Ishii K, Kameda W, Susa S BMC Cardiovasc Disord. 2022; 22(1):365.

PMID: 35945498 PMC: 9364514. DOI: 10.1186/s12872-022-02800-9.


Association between dietary fat quality indices with anthropometric measurements in children and adolescents.

Mozafarinia M, Heidari-Beni M, Abbasi B, Kelishadi R BMC Pediatr. 2022; 22(1):244.

PMID: 35501838 PMC: 9059420. DOI: 10.1186/s12887-022-03307-0.


Body Shape Index and Cardiovascular Risk in Individuals With Obesity.

Haciagaoglu N, Oner C, Cetin H, Simsek E Cureus. 2022; 14(1):e21259.

PMID: 35178315 PMC: 8843105. DOI: 10.7759/cureus.21259.


References
1.
Fujita M, Sato Y, Nagashima K, Takahashi S, Hata A . Predictive power of a body shape index for development of diabetes, hypertension, and dyslipidemia in Japanese adults: a retrospective cohort study. PLoS One. 2015; 10(6):e0128972. PMC: 4451769. DOI: 10.1371/journal.pone.0128972. View

2.
Al-Daghri N, Al-Attas O, Wani K, Alnaami A, Sabico S, Al-Ajlan A . Sensitivity of various adiposity indices in identifying cardiometabolic diseases in Arab adults. Cardiovasc Diabetol. 2015; 14:101. PMC: 4566864. DOI: 10.1186/s12933-015-0265-5. View

3.
Turin T, Kita Y, Rumana N, Takashima N, Kadota A, Matsui K . Brachial-ankle pulse wave velocity predicts all-cause mortality in the general population: findings from the Takashima study, Japan. Hypertens Res. 2010; 33(9):922-5. DOI: 10.1038/hr.2010.103. View

4.
Satoh N, Shimatsu A, Kato Y, Araki R, Koyama K, Okajima T . Evaluation of the cardio-ankle vascular index, a new indicator of arterial stiffness independent of blood pressure, in obesity and metabolic syndrome. Hypertens Res. 2008; 31(10):1921-30. DOI: 10.1291/hypres.31.1921. View

5.
Martin V, Davila-Batista V, Castilla J, Godoy P, Delgado-Rodriguez M, Soldevila N . Comparison of body mass index (BMI) with the CUN-BAE body adiposity estimator in the prediction of hypertension and type 2 diabetes. BMC Public Health. 2016; 16:82. PMC: 4730622. DOI: 10.1186/s12889-016-2728-3. View