Body composition markers from classic anthropometry, bioelectrical impedance analysis, and magnetic resonance imaging are associated with inflammatory markers in the general population

被引:3
|
作者
Bibi, Saima [1 ,7 ]
Naeem, Muhammad [1 ,6 ]
Bahls, Martin [2 ,3 ]
Doerr, Marcus [2 ,3 ]
Friedrich, Nele [3 ,4 ]
Nauck, Matthias [3 ,4 ]
Buellow, Robin [5 ]
Voelzke, Henry [1 ,3 ]
Markus, Marcello Ricardo Paulista [2 ,3 ]
Ittermann, Till [1 ,3 ]
机构
[1] Univ Med Greifswald, Inst Community Med, Dept Clin Epidemiol Res, Greifswald, Germany
[2] Univ Med Greifswald, Dept Internal Med Cardiol Intens Care Pulm Med & I, Intens Care Pulm Med & Infect Dis, Greifswald, Germany
[3] German Ctr Cardiovasc Res, DZHK, Partner Site Greifswald, Greifswald, Germany
[4] Univ Med Greifswald, Inst Clin Chem & Lab Med, Greifswald, Germany
[5] Univ Med Greifswald, Inst Radiol & Neuroradiol, Greifswald, Germany
[6] Univ Malakand, Dept Zool, Khyber Pakhtunkhwa 18800, Pakistan
[7] Univ Med Greifswald, Inst Community Med, Dept Clin Epidemiol Res, Walther Rathenau Str 48, D-17475 Greifswald, Germany
关键词
Obesity; Inflammation; High-sensitivity C-reactive protein (hsCRP); Waist circumference (WC); Magnetic resonance imaging (MRI); C-REACTIVE PROTEIN; CHILDHOOD OBESITY; ADIPOSE-TISSUE; RISK-FACTORS; MASS INDEX; OVERWEIGHT; HEALTH; COHORT; ADULTS;
D O I
10.1016/j.numecd.2023.05.026
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background and aim: The associations of body composition markers derived from different modalities with inflammatory markers are unclear. The aim of this study was to determine associations of the body composition markers from different modalities with inflammatory markers in a population-based study. Methods and results: We analyzed data from 4048 participants (2081 women, 51.4%) aged 20-84 years. Linear regression models adjusted for confounding were used to analyze the association of classic anthropometry markers, absolute and relative fat mass, absolute fat-free mass (FFM), and body cell mass (BCM) assessed by bioelectrical impedance analysis, subcutaneous, visceral, and liver fat from magnetic resonance imaging (MRI), with markers of inflammation. We found positive associations of classic anthropometry markers, total body fat, subcutaneous, visceral, and liver fat, with all inflammatory markers. Waist circumference (WC) showed the strongest association with high-sensitivity C-reactive protein (hsCRP) (b: 1.39; 95% confidence interval [CI]: 1.22 to 1.56) and white blood cell (WBC) (0.39; 0.29 to 0.48), whereas visceral fat showed the strongest association with ferritin (41.9; 34.7 to 49.0). Relative body fat was strongly associated with hsCRP (1.39; 1.20 to 1.58), fibrinogen (0.29; 0.27 to 0.32), and WBC (0.35; 0.25 to 0.46). Conversely, we found inverse associations of body height, FFM, and BCM with hsCRP, fibrinogen, and WBC. Conclusions: Our study indicates the importance of WC as an easily measured marker for early inflammation. MRI-assessed markers of central obesity seem to be most strongly related to ferritin. (c) 2023 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:1899 / 1906
页数:8
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