The associations of body composition and anthropometric measures with carotid intima-media thickness in obese and non-obese schoolchildren: A possible predictor for cardiovascular diseases

Al-Shorman, Alaa; Al-Domi, Hayder; Al-Atoum, Muatasem

doi:10.1177/1708538117735457

Cited by 14 publications

(8 citation statements)

References 35 publications

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“…13 It is a risk factor for the development of diseases such as diabetes, hypertension, coronary heart disease and some different types of cancer. [14][15][16][17][18][19][20][21][22][23][24][25] Obesity is related to mitochondrial metabolism. [26][27][28][29][30][31] The excess of fat in the tissues and the overweight aspect of it enhance the production of reactive oxygen species (ROS), which contribute to the origin and establishment of oxidative stress.…”

Section: Introductionmentioning

confidence: 99%

Oxygenic metabolism in nutritional obesity induced by olive oil. The influence of vitamin C

et al. 2019

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Section: Introductionmentioning

confidence: 99%

Oxygenic metabolism in nutritional obesity induced by olive oil. The influence of vitamin C

et al. 2019

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“…In this regard, FFM has been considered a significant determinant of BP (44,46), regional arterial stiffness (46), CCA IMT, and lumen area (35,47). As previously mentioned, these findings are in contradiction with previous results, which did not show significant associations between FFM and structural parameters (e.g., IMT) and cardiovascular risk (39,40,48). Our findings significantly differ from previously published data, which showed a stronger association between FMI and baBP rather than with FFMI (51).…”

Section: Discussionmentioning

confidence: 83%

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

et al. 2022

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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.

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“…Furthermore, the Avon Longitudinal Study of Parents and Children study showed that elevated levels of FFM were associated with increases in cIMT independent of FM 25) . Several previous studies used absolute FM and BF% as an index of body fat [21][22][23][24][25] . However, the absolute FM is correlated with height.…”

Section: Discussionmentioning

confidence: 99%

“…To clarify the association between body composition and cIMT, two different body compositions should be considered. Many previous studies have mutually adjusted FM and FFM to consider body composition [21][22][23][24][25] . However, there is a correlation between FM and FFM because higher FFM is required to carry excess body fat.…”

Section: Anthropometrymentioning

confidence: 99%

Associations between the Combined Fat Mass Index and Fat-Free Mass Index with Carotid Intima-Media Thickness in a Japanese Population: The Tohoku Medical Megabank Community-Based Cohort Study

Takase

Nakamura

Nakaya

et al. 2023

JAT

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Aim: Although many epidemiological studies have shown that obesity assessed by body mass index is associated with carotid intima-media thickness (cIMT), few studies have evaluated fat-free mass, which is a component of body composition. We investigated the associations between the combined fat mass index (FMI) and fat-free mass index (FFMI) with cIMT. Methods:We conducted a cross-sectional study of 3,873 men and 9,112 women aged 20 years or older who lived in Miyagi prefecture, Japan. The FMI and FFMI were calculated as fat mass and fat-free mass divided by height squared, respectively. The indices were classified into sex-specific quartiles and were combined into 16 groups. The maximum common carotid artery was measured using high-resolution B-mode ultrasound. An analysis of covariance was used to assess associations between the combined FMI and FFMI with cIMT adjusted for age and smoking status. The linear trend test was conducted by stratifying the FMI and FFMI, scoring the categories from 1 (lowest) to 4 (highest), and entering the number as a continuous term in the regression model. Results:In multivariable models, a higher FMI was not related to higher cIMT in men and women in most FFMI subgroups. Conversely, a higher FFMI was related to higher cIMT in all FMI subgroups (p＜0.001 for linear trend).Conclusions : FMI was not associated with cIMT in most FFMI subgroups. Conversely, FFMI was positively associated with cIMT independently of FMI.

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The associations of body composition and anthropometric measures with carotid intima-media thickness in obese and non-obese schoolchildren: A possible predictor for cardiovascular diseases

Cited by 14 publications

References 35 publications

Oxygenic metabolism in nutritional obesity induced by olive oil. The influence of vitamin C

Oxygenic metabolism in nutritional obesity induced by olive oil. The influence of vitamin C

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

Associations between the Combined Fat Mass Index and Fat-Free Mass Index with Carotid Intima-Media Thickness in a Japanese Population: The Tohoku Medical Megabank Community-Based Cohort Study

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