A18964 Could a clinical and user-friendly body fat percentage assessment predict inflammatory state as a cardiovascular risk factor among CKD patients?

2018 ◽  
Vol 36 ◽  
pp. e261
Author(s):  
Mochammad Thaha ◽  
Maulana A. Empitu ◽  
Ika N. Kadariswantiningsih ◽  
Maulana M. Suryansyah ◽  
Yusuke Suzuki
Keyword(s):  
Risk Factor ◽  
Cardiovascular Risk ◽  
Body Fat ◽  
Cardiovascular Risk Factor ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Inflammatory State ◽  
User Friendly

scholarly journals Association between Neutrophil-to-Lymphocyte Ratio with Abdominal Obesity and Healthy Eating Index in a Representative Older Spanish Population

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 855 ◽  
Author(s):  
Elena Rodríguez-Rodríguez ◽  
Ana M. López-Sobaler ◽  
Rosa M. Ortega ◽  
M. Luisa Delgado-Losada ◽  
Ana M. López-Parra ◽  
...  
Keyword(s):  
Older Adults ◽  
Body Fat ◽  
Abdominal Obesity ◽  
Healthy Eating ◽  
Healthy Eating Index ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Lymphocyte Ratio ◽  
Inflammatory Status ◽  
Inflammatory State

Poor diet quality and obesity, especially abdominal obesity, have been associated with systemic inflammation. The neutrophil-to-lymphocyte Ratio (NLR) is an available and inexpensive inflammation biomarker. The aim of the present study was to determine the association of dietary patterns and obesity with an inflammatory state. A group of 1747 Spanish noninstitutionalized older adults individuals were included, and a food-frequency questionnaire was applied. The Global Food Score (GFS) and Healthy Eating Index for Spanish population (SHEI) were calculated. Weight, height and waist (WC) and hip circumferences were measured, and BMI, waist-to-height ratio (WHtR), and waist-to-hip ratio (WHR) determined. In addition, body-fat percentage was measured by bioimpedance. NLR was calculated (NLR ≥ p80: 2.6; 2.8 and 2.4 as inflammatory status in the entire population, men and women, respectively). The men with inflammatory status presented significative higher values of WC, WHtR, WHR, and body-fat percentage (101.82 ± 10.34 cm, 0.61 ± 0.06, 0.98 ± 0.06, and 31.68 ± 5.94%, respectively) than those with better inflammatory status (100.18 ± 10.22 cm, 0.59 ± 0.06, 0.97 ± 0.07, and 30.31 ± 6.16%, respectively). Those males with worse inflammatory state had lower scores for protein foods (OR = 0.898 (0.812–0.993); p = 0.037). The women with NLR ≥ 2.4 had higher WHtR and WHR (0.62 ± 0.09 and 0.91 ± 0.09) than those with NLR < 2.4 (0.60 ± 0.08 and 0.90 ± 0.08). In multiple linear regression analysis, NLR was positively related with WHtR and negatively related with SHEI score (β = 0.224 ± 0.094; R2 = 0.060; p < 0.05 and β = −0.218 ± 0.101; R2 = 0.061; p < 0.05), adjusting by sex, age, marital status, education level, smoking, hours of sleeping and inflammatory diseases. In women, the higher the SHEI and GFS scores were and the better meeting the aims of cereal and vegetable servings, the less the odds of inflammatory status (OR = 0.970 (0.948–0.992); p = 0.008; OR = 0.963 (0.932–0.995); p = 0.024; OR = 0.818 (0.688–0.974); p = 0.024 and OR = 0.829 (0.730–0.942); p = 0.004, respectively). WHtR and quality of diet is related to the inflammation status in older adults regardless to the sex.

The estimation of cardiovascular risk factors by body mass index and body fat percentage in Korean male adults

Metabolism ◽  
2009 ◽  
Vol 58 (6) ◽  
pp. 765-771 ◽  
Author(s):  
Young Gyu Cho ◽  
Hong Ji Song ◽  
Jin Myoung Kim ◽  
Kyung Hee Park ◽  
Yu Jin Paek ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Body Mass ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Fat Percentage

Body Fat Percentage as a Risk Factor for Atherosclerosis but not for Inflammation for Hemodialysis Patients: Differences Between Genders

2012 ◽  
Vol 22 (5) ◽  
pp. 490-498 ◽  
Author(s):  
Siren Sezer ◽  
Şebnem Karakan ◽  
Gülşah Şaşak ◽  
Emre Tutal ◽  
F. Nurhan Özdemir Acar
Keyword(s):  
Risk Factor ◽  
Body Fat ◽  
Hemodialysis Patients ◽  
Body Fat Percentage ◽  
Fat Percentage

scholarly journals Assessment of the Body Composition and Parameters of the Cardiovascular Risk in Juvenile Idiopathic Arthritis

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Ewa Jednacz ◽  
Lidia Rutkowska-Sak
Keyword(s):  
Body Composition ◽  
Juvenile Idiopathic Arthritis ◽  
Cardiovascular Risk ◽  
Lipid Profile ◽  
Body Mass ◽  
Body Fat ◽  
The Body ◽  
Control Group ◽  
Body Fat Percentage ◽  
Fat Percentage

The study was aimed to evaluate cardiovascular risk parameters, body mass index (BMI) centiles for sex and age, and body fat percentage using the electric bioimpedance method in children with juvenile idiopathic arthritis (JIA). 30 children with JIA participated in the study. A control group included 20 children. Patients were well matched for the age and sex. The body mass and body fat percentage were determined using the segmental body composition analyser; the BMI centiles were determined. All patients had the following parameters determined: lipid profile, hsCRP, homocysteine, and IL-6. The intima media thickness (IMT) was measured. Patients with JIA had significantly lower body weight, BMI, and the BMI centile compared to the control group. The IL-6 levels were significantly higher in patients with JIA compared to the control group. There were no differences between two groups with regard to the lipid profile, % content of the fat tissue, homocysteine levels, hsCRP, and IMT. Further studies are necessary to search for reasons for lower BMI and BMI centile in children with JIA and to attempt to answer the question of whether lower BMI increases the cardiovascular risk in these patients, similarly as in patients with rheumatoid arthritis (RA).

scholarly journals Body fat percentage and CRP correlates with a composite score of vascular risk markers in healthy, young adults - The Lifestyle, Biomarkers, and Atherosclerosis (LBA) study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Paul Pettersson-Pablo ◽  
Yang Cao ◽  
Torbjörn Bäckström ◽  
Torbjörn K. Nilsson ◽  
Anita Hurtig-Wennlöf
Keyword(s):  
Young Adults ◽  
Cardiovascular Risk ◽  
Body Fat ◽  
Structure And Function ◽  
Body Fat Percentage ◽  
Vascular Structure ◽  
Fat Percentage ◽  
Cluster Analyses ◽  
And Function

Abstract Background Identification of early signs of atherosclerosis in young adults have the potential to guide early interventions to prevent later cardiovascular disease. We therefore analyzed measures of vascular structure and function and biomarkers of cardiovascular risk in a sample of young healthy adults. Methods Pulse-wave velocity (PWV), carotid-intima media thickness (cIMT) and augmentation index (AIX) were measured in 834 healthy non-smokers (ages 18.0–25.9). Emphasis was put on discriminating between individuals having a vascular structure and function associated with a higher or lower risk, and cluster analysis algorithms were employed to assign the subjects into groups based on these vascular measurements. In addition, a vascular status score (VSS) was calculated by summarizing the results according to quintiles of the vascular measurements. The associations between VSS and cardiovascular biomarkers were examined by regression analyses. Results The cluster analyses did not yield sufficiently distinct clustering (groups of individuals that could be categorized unequivocally as having either a vascular structure and function associated with a higher or lower CVD risk). VSS proved a better classificatory variable. The associations between VSS and biomarkers of cardiovascular risk were analyzed by univariable and multivariable regressions. Only body fat percentage and C-reactive protein (CRP) were independently associated with VSS. Conclusions A VSS calculation, which integrates PWV, cIMT, and AIX measurements is better suited for cardiovascular risk evaluation in young adults than cluster analyses. The independent associations of VSS with body fat percentage and CRP highlight the decisive role of adiposity and systemic inflammation in early atherosclerotic progression and suggests a subordinate role of insulin and lipid metabolism in this age span.

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