Fat-Free Mass Index, Visceral Fat Level, and Muscle Mass Percentage Better Explain Deviations From the Expected Value of Aortic Pressure and Structural and Functional Arterial Properties Than Body Fat Indexes
Bioelectrical impedance analysis (BIA)-derived indexes [e.g., fat (FMI) and fat-free mass indexes (FFMI), visceral fat level (VFL)] are used to characterize obesity as a cardiovascular risk factor (CRF). The BIA-derived index that better predicts arterial variability is still discussed.AimsTo determ...
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Nutrition |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnut.2022.856198/full |
| _version_ | 1818009610117709824 |
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| author | Mariana Gómez-García Mariana Gómez-García Juan Torrado Juan Torrado María Pereira Daniel Bia Daniel Bia Yanina Zócalo Yanina Zócalo |
| author_facet | Mariana Gómez-García Mariana Gómez-García Juan Torrado Juan Torrado María Pereira Daniel Bia Daniel Bia Yanina Zócalo Yanina Zócalo |
| author_sort | Mariana Gómez-García |
| collection | DOAJ |
| description | Bioelectrical impedance analysis (BIA)-derived indexes [e.g., fat (FMI) and fat-free mass indexes (FFMI), visceral fat level (VFL)] are used to characterize obesity as a cardiovascular risk factor (CRF). The BIA-derived index that better predicts arterial variability is still discussed.AimsTo determine: (1) the association of classical [weight, height, body mass index (BMI), basal metabolic rate (BMR)] and BIA-derived indexes, with arterial properties deviations from expected values (arterial z-scores); (2) maximum arterial variations attributable to BIA-derived indexes; (3) whether the composition of total body, trunk and/or limbs is most closely associated with arterial variations.MethodsHemodynamic, structural, and functional parameters of different histological types of arteries were assessed (n = 538, 7–85 years). Classical and BIA-derived indexes [fat mass and percentage, FMI, VFL, muscle mass percentage (PMM), FFMI, and percentage] were measured (mono- and multi-segmental devices). Arterial z-scores were obtained using age-related equations derived from individuals not-exposed to CRFs (n = 1,688).ResultsFirst, regardless of the classical index considered, the associations with the arterial properties showed a specific hierarchy order: diameters and local stiffness > aortic and brachial blood pressure (BP) > regional stiffness. Second, all the associations of FMI and FFMI with z-scores were positive. Third, FFMI exceeded the association obtained with BMI and BMR, considering structural z-scores. In contrast, FMI did not exceed the association with z-scores achieved by BMI and BMR. Fourth, regardless of CRFs and classical indexes, arterial z-scores would be mainly explained by FFMI, VFL, and PMM. Fifth, regardless of the body-segment considered, the levels of association between FMI and z-scores did not exceed those found for classic and FFMI. Total fat mass and trunk indexes showed a greater strength of association with z-scores than the FMI of limbs. Sixth, compared to lower limb FFMI indexes, total and upper limbs FFMI showed higher levels of association with z-scores.ConclusionsFFMI (but not FMI) exceeded the strength of association seen between BMI or BMR and structural z-scores. Regardless of the body segment analyzed, the associations between FMI and z-scores did not exceed those found with classic and FFMI. Arterial z-scores could be independently explained by FFMI, VFL, and PMM. |
| first_indexed | 2024-04-14T05:43:55Z |
| format | Article |
| id | doaj.art-8115ffc01849493b98550572fb327c67 |
| institution | Directory Open Access Journal |
| issn | 2296-861X |
| language | English |
| last_indexed | 2024-04-14T05:43:55Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Nutrition |
| spelling | doaj.art-8115ffc01849493b98550572fb327c672022-12-22T02:09:20ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2022-04-01910.3389/fnut.2022.856198856198Fat-Free Mass Index, Visceral Fat Level, and Muscle Mass Percentage Better Explain Deviations From the Expected Value of Aortic Pressure and Structural and Functional Arterial Properties Than Body Fat IndexesMariana Gómez-García0Mariana Gómez-García1Juan Torrado2Juan Torrado3María Pereira4Daniel Bia5Daniel Bia6Yanina Zócalo7Yanina Zócalo8Departamento de Educación Física y Salud, Instituto Superior de Educación Física, Universidad de la República, Montevideo, UruguayCUiiDARTE-Movimiento, Actividad, Salud (CUiiDARTE-MAS), Comisión Sectorial de Investigación Científica, Universidad de la República, Montevideo, UruguayCUiiDARTE-Movimiento, Actividad, Salud (CUiiDARTE-MAS), Comisión Sectorial de Investigación Científica, Universidad de la República, Montevideo, UruguayDepartment of Internal Medicine, Jacobi Medical Center, Albert Einstein College of Medicine, New York, NY, United StatesDepartment of Obstetrics and Gynecology, BronxCare Hospital Center a Clinical Affiliate of Mt Sinai Health Systems and Academic Affiliate of Icahn School of Medicine, New York, NY, United StatesCUiiDARTE-Movimiento, Actividad, Salud (CUiiDARTE-MAS), Comisión Sectorial de Investigación Científica, Universidad de la República, Montevideo, UruguayDepartamento de Fisiología, Facultad de Medicina, Centro Universitario de Investigación, Innovación y Diagnóstico Arterial (CUiiDARTE), Universidad de la República, Montevideo, UruguayCUiiDARTE-Movimiento, Actividad, Salud (CUiiDARTE-MAS), Comisión Sectorial de Investigación Científica, Universidad de la República, Montevideo, UruguayDepartamento de Fisiología, Facultad de Medicina, Centro Universitario de Investigación, Innovación y Diagnóstico Arterial (CUiiDARTE), Universidad de la República, Montevideo, UruguayBioelectrical impedance analysis (BIA)-derived indexes [e.g., fat (FMI) and fat-free mass indexes (FFMI), visceral fat level (VFL)] are used to characterize obesity as a cardiovascular risk factor (CRF). The BIA-derived index that better predicts arterial variability is still discussed.AimsTo determine: (1) the association of classical [weight, height, body mass index (BMI), basal metabolic rate (BMR)] and BIA-derived indexes, with arterial properties deviations from expected values (arterial z-scores); (2) maximum arterial variations attributable to BIA-derived indexes; (3) whether the composition of total body, trunk and/or limbs is most closely associated with arterial variations.MethodsHemodynamic, structural, and functional parameters of different histological types of arteries were assessed (n = 538, 7–85 years). Classical and BIA-derived indexes [fat mass and percentage, FMI, VFL, muscle mass percentage (PMM), FFMI, and percentage] were measured (mono- and multi-segmental devices). Arterial z-scores were obtained using age-related equations derived from individuals not-exposed to CRFs (n = 1,688).ResultsFirst, regardless of the classical index considered, the associations with the arterial properties showed a specific hierarchy order: diameters and local stiffness > aortic and brachial blood pressure (BP) > regional stiffness. Second, all the associations of FMI and FFMI with z-scores were positive. Third, FFMI exceeded the association obtained with BMI and BMR, considering structural z-scores. In contrast, FMI did not exceed the association with z-scores achieved by BMI and BMR. Fourth, regardless of CRFs and classical indexes, arterial z-scores would be mainly explained by FFMI, VFL, and PMM. Fifth, regardless of the body-segment considered, the levels of association between FMI and z-scores did not exceed those found for classic and FFMI. Total fat mass and trunk indexes showed a greater strength of association with z-scores than the FMI of limbs. Sixth, compared to lower limb FFMI indexes, total and upper limbs FFMI showed higher levels of association with z-scores.ConclusionsFFMI (but not FMI) exceeded the strength of association seen between BMI or BMR and structural z-scores. Regardless of the body segment analyzed, the associations between FMI and z-scores did not exceed those found with classic and FFMI. Arterial z-scores could be independently explained by FFMI, VFL, and PMM.https://www.frontiersin.org/articles/10.3389/fnut.2022.856198/fullaortic pressurearterial stiffnessbioelectrical impedance analysisbody composition assessment techniquescardiovascular diagnosiscardiovascular research |
| spellingShingle | Mariana Gómez-García Mariana Gómez-García Juan Torrado Juan Torrado María Pereira Daniel Bia Daniel Bia Yanina Zócalo Yanina Zócalo Fat-Free Mass Index, Visceral Fat Level, and Muscle Mass Percentage Better Explain Deviations From the Expected Value of Aortic Pressure and Structural and Functional Arterial Properties Than Body Fat Indexes Frontiers in Nutrition aortic pressure arterial stiffness bioelectrical impedance analysis body composition assessment techniques cardiovascular diagnosis cardiovascular research |
| title | Fat-Free Mass Index, Visceral Fat Level, and Muscle Mass Percentage Better Explain Deviations From the Expected Value of Aortic Pressure and Structural and Functional Arterial Properties Than Body Fat Indexes |
| title_full | Fat-Free Mass Index, Visceral Fat Level, and Muscle Mass Percentage Better Explain Deviations From the Expected Value of Aortic Pressure and Structural and Functional Arterial Properties Than Body Fat Indexes |
| title_fullStr | Fat-Free Mass Index, Visceral Fat Level, and Muscle Mass Percentage Better Explain Deviations From the Expected Value of Aortic Pressure and Structural and Functional Arterial Properties Than Body Fat Indexes |
| title_full_unstemmed | Fat-Free Mass Index, Visceral Fat Level, and Muscle Mass Percentage Better Explain Deviations From the Expected Value of Aortic Pressure and Structural and Functional Arterial Properties Than Body Fat Indexes |
| title_short | Fat-Free Mass Index, Visceral Fat Level, and Muscle Mass Percentage Better Explain Deviations From the Expected Value of Aortic Pressure and Structural and Functional Arterial Properties Than Body Fat Indexes |
| title_sort | fat free mass index visceral fat level and muscle mass percentage better explain deviations from the expected value of aortic pressure and structural and functional arterial properties than body fat indexes |
| topic | aortic pressure arterial stiffness bioelectrical impedance analysis body composition assessment techniques cardiovascular diagnosis cardiovascular research |
| url | https://www.frontiersin.org/articles/10.3389/fnut.2022.856198/full |
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