Body fat estimates from bioelectrical impedance equations in cardiovascular risk assessment: The PREVEND cohort study

Abstract

Aims: To investigate prospectively the association of body fat percentage (BF%) estimates using various equations from bioelectrical impedance analysis (BIA) with cardiovascular events, compared with body mass index (BMI) and waist circumference. Methods and results: We used data of 34 BIA-BF%-equations that were used for estimation of BF% in 6486 (men ¼ 3194, women ¼ 3294) subjects. During a median follow-up of 8.3 years, 510 (7.9%) cardiovascular events (363 in men; 147 in women) occurred. In men, the crude hazard ratio (95% confidence interval) for BF% from the best predicting BIA-BF%-equation was 3.97 (3.30-4.78) against 2.13 (1.85-2.45) for BF% from the BIA device's BIA-BF%equation, 1.34 (1.20-1.49) for BMI and 1.49 (1.40-1.73) for waist circumference per log-1-SD increase of all. In women, the hazard ratios for best predicting BIA-BF%-equation, BIA device estimation, BMI and waist circumference were 3.80 (2.85-4.99), 1.89 (1.57-2.28), 1.35 (1.21-1.51) and 1.52 (1.31-1.75), respectively. After adjustments for age, Framingham cardiovascular disease risk score and creatinine excretion -a marker of muscle mass -BF%s and BMI remained independently associated with cardiovascular events in both men and women, while waist circumference was independently associated with cardiovascular events in men, but not in women. According to discrimination ability (C-index) and additive predictive value (net reclassification index and integrated discrimination index) on obesity measures to the Framingham cardiovascular disease risk score, BF% was superior to BMI and waist circumference in both men and women. Conclusions: BF% was independently associated with future cardiovascular events. Body fat estimates from the bestpredicting BIA-BF%-equations can be a more predictive measurement in cardiovascular risk assessment than BMI or waist circumference.

Body composition indices and cardiovascular risk in type 2 diabetes. CV biomarkers are not related to body composition

“…In a DXA-based study, the FRS estimated higher 10-yr CVD risk was associated with a combination of low muscle mass and high fat in men but not in women [38]. In the BIA-based PREVEND study BMI and BF% remained independently associated with CV events in both men and women, while WC -in men only, but not in women [38]. In our sample the 10-yr risk according to the FRS was associated only with the WHR, BF% and FFM, which is an ambiguous finding.…”

“…Another study of FRS in high-risk ethnic groups highlighted the best predictive value of WHR, while the WC was linked best to the arterial stiffness, and BMI was of value in specific subgroups only [37]. In a DXA-based study, the FRS estimated higher 10-yr CVD risk was associated with a combination of low muscle mass and high fat in men but not in women [38]. In the BIA-based PREVEND study BMI and BF% remained independently associated with CV events in both men and women, while WC -in men only, but not in women [38].…”

Dapagliflozin Add-On Therapy Improves Body Composition and Metabolic Parameters in Overweight Type 2 Diabetic Patients: A Pilot Study

“…Recently, it was demonstrated that body fat percentage in bioelectrical measurements is independently associated with the risk of future cardiovascular events and that the calculated percentage with the validated predictive equations can be a more predictive measurement in cardiovascular risk assessment than BMI or WC [19]. Our pilot study provides additional evidence about these results using a BIA.…”

Uso Da Teoria De Virginia Henderson Associada À Cipe No Cuidado a Idoso Com Erisipela: Relato De Caso De Enfermagem

“…Visceral fat was a strong point to the risk in alterations to the arterial pressure with p≤0,030 to men and p≤0,004 to women, given that it can provoke the release of pro inflammatory cytokines as interleukin 6 (IL-6), tumor necrosis factor (TNF) and adipokines that are able to reduce the NO levels in the vascular system and provoke reactivity, heightening its constriction (ANCHUELO, MARTÍNEZ-LARRAD, et al, 2019, UCHASOVA, GRUZDEVA, et al, 2018. It is, also, a well referred factor to cardiovascular sickening and arterial hypertension in the scientific literature (BYAMBASUKH, EISENGA, et al, 2019, DAVID, GUIMARÃES, et al, 2019, PICHÉ, POIRIER, et al, 2018, RAPHAEL DAVID, LEMOS SILVA, et al, 2018.…”