Associations of Platelet Indices with Body Fat Mass and Fat Distribution

Obesity ◽  
2018 ◽  
Vol 26 (10) ◽  
pp. 1637-1643 ◽  
Author(s):  
Shuang Han ◽  
Da Gan ◽  
Guowei Wang ◽  
Yuan Ru ◽  
Chao Huang ◽  
...  
1990 ◽  
Vol 70 (4) ◽  
pp. 888-893 ◽  
Author(s):  
C. M. DE RIDDER ◽  
P. F. BRUNING ◽  
M. L. ZONDERLAND ◽  
J. H. H. THIJSSEN ◽  
J. M. G. BONFRER ◽  
...  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C.J.F Camm ◽  
B Lacey ◽  
B Casadei ◽  
J.C Hopewell

Abstract Background Atrial fibrillation (AF) and obesity are common conditions with important health implications. Greater adiposity has been associated with higher risk of AF. However, body fat distribution differs between sexes, and the independent effects of different adiposity measures on AF risk remain unclear. Purpose To establish the independent effects of general and central adiposity on risk of incident AF in men and women. Methods UK Biobank is a prospective study involving 502,536 adults (aged 40–69). Participants underwent an extensive baseline interview and physical assessment (including bio-impedance measurements). Incident AF cases were identified by linkage to national hospital statistics and death registry data. Cox regression models adjusted for age, sex, ethnicity, deprivation, smoking and alcohol, were used to estimate effects of general adiposity (body mass index [BMI] and body fat mass), central adiposity (waist circumference [WC]), and lean mass, on risk of incident AF (per sex-specific standard deviation [SD]). Results Among 477,918 participants (mean age 56.4 years, SD 8.1; 45% men) with no history of AF, mean BMI was similar in women (27.0kg/m2, SD 5.0) and men (27.8kg/m2, SD 4.1). Conversely, mean WC was lower in women (84.5cm, SD 12.3) than men (96.8cm, SD 11.0), while mean body fat mass was higher in women (26.9kg, SD 9.8) than men (22.2kg, SD 8.0). A total of 14,362 incident AF events were identified (5,254 in women, 9,108 in men) over 8.1 years median follow-up. AF was positively associated with adiposity. A 1-SD higher BMI, equivalent to 4.6kg/m2, and a 1-SD higher WC, equivalent to 11.7cm, were each associated with >30% higher risks of AF (hazard ratio [HR] BMI 1.32 [95% CI 1.30–1.34]; WC 1.37 [1.35–1.39]), and showed no sex differences. Lean mass was also strongly associated with AF (1.41 [1.39–1.43]), and similar between sexes. In contrast, a 1-SD higher body fat mass, equivalent to 9.0kg, was associated with a 34% higher risk of AF overall (1.34 [1.32–1.36]), but had a stronger effect in women (1.41 [1.38–1.45]) than men (1.30 [1.28–1.33]), p-interaction 1x10–6; albeit effects were comparable per kg). After adjustment for body fat mass and lean mass, WC remained positively associated with AF overall (1.19 [1.15–1.23]) and in both sexes (1.14 [1.09–1.20] in women, 1.21 [1.17–1.26] in men). However, following adjustment for lean mass and WC, body fat mass remained positively associated with AF (1.09 [1.06–1.12]) overall, and in women (1.19 [1.14–1.26]) but was almost completely attenuated in men (1.04 [1.01–1.08]), p-interaction 0.004 (Figure). Associations were not materially changed by further adjustment for height, or by excluding those with prior vascular disease. Conclusions Central adiposity is strongly and independently associated with AF in both sexes. Conversely, general adiposity is independently associated with risk of AF in women but not men. Suggesting the impact fat distribution on AF risk differs by sex. Fat mass, waist circumference & AF risk Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): British Heart Foundation


1997 ◽  
Vol 21 (7) ◽  
pp. 536-541 ◽  
Author(s):  
H Shimizu ◽  
Y Shimomura ◽  
R Hayashi ◽  
K Ohtani ◽  
N Sato ◽  
...  

2020 ◽  
Author(s):  
Qingmei Yang ◽  
Ping Ma ◽  
Hao Zhang ◽  
Rongrong Cai ◽  
Yangyang Dong ◽  
...  

Abstract Background: The association between total fat, body fat distribution and cardiometabolic risk factors are highly controversial among adolescents. The aim of the present study was to evaluate the association of body fat distribution with cardiometabolic risk factors clustering among Chinese adolescents.Methods: In this cross-sectional study a total of 1175 adolescents aged 10 to 18 years underwent a comprehensive assessment of cardimetabolic risk factors. Body fat analysis was performed with Bioelectrical impedance analysis. Results: Individuals with the CVRFs ≥1 or CVRFs ≥2 had higher indices of body fat distribution such as body fat mass(BFM) compared to those with normal CVRFs (all P<0.001). The prevalence of CVRFs ≥1, CVRFs ≥2 increased with increasing of the quartile of BFM, TBFM, ABFM, LBFM, PBF, VFL compared to normal subjects. After adjusted for age and sex, the study indicated an linear relationship between TBFM(β=0.693, 95%CI:0.363,1.023), LBFM(β=-1.471, 95%CI:-2.768,-0.175) and CVRFs z-score. Logistic regression models suggested TBFM was associated with CVRFs≥1 and CVRFs≥2 by higher odds. Lower odds of LBFM was associated with CVRFs≥2. Conclusions A significant association between body fat mass of trunk(TBFM), body fat mass of leg(LBFM) and cluster of cardiometabolic risk factors was showed in the study. It suggested to reduce body fat mass of trunk and increase body fat mass of leg were essential for adolescents to prevent cardiovascular risk factors clustering.


2020 ◽  
Vol 60 (5) ◽  
pp. 269-76
Author(s):  
Aman Bhakti Pulungan ◽  
Resyana Putri Nugraheni ◽  
Najib Advani ◽  
Arwin AP Akib ◽  
Yoga Devaera ◽  
...  

Background Menarcheal age is important in adolescent girls due to its associations with health outcomes at adulthood. Modifiable factors that may influence menarcheal age include body fat mass and fat distribution. Objective: To investigate possible correlations between body fat mass and fat distribution with age at menarche in adolescent girls. Methods This study was a cross-sectional study on 32 girls aged 10-15 years in Central Jakarta, who experienced menarche within the time period of July to September 2019. Data on menarcheal age was collected by recall. Body fat mass and distribution were calculated using anthropometric measurements and bioelectrical impedance analyzer (BIA) results. Results  The mean age of study subjects was 12.06 (SD 0.82) years and the mean age at menarche was 11.91 (SD 0.83) years. Correlation tests revealed a moderate negative correlation between body mass index-for-age and menarcheal age (r= -0.45; P=0.01) and weak negative correlation between waist-height ratio and menarcheal age (r= -0.37; P=0.03). Conclusion Menarcheal age is correlated with body mass index-for-age and waist-height ratio. However, no significant correlations between menarcheal age and body fat mass or distribution are found.


2003 ◽  
Vol 56 (5-6) ◽  
pp. 232-236
Author(s):  
Biljana Srdic ◽  
Edita Stokic ◽  
Agneza Polzovic

Introduction Obesity is defined as an increase of body fat mass. Regional fat distribution, especially abdominal obesity, is a very important risk factor for cardiovascular and metabolic complications in obesity. The aim of this study was to investigate the relationship between some anthropometrics parameters and body fat mass in normal weight and obese subjects Material and methods The study group consisted of 60 obese and 60 normal-weight subjects of both sexes. All examinees underwent following anthropometrics measurements: body height, body weight, waist circumference hip circumference and sagittal abdominal diameter. We calculated values of body mass index (BMI), waist to hip ratio (WHR), waist to stature ratio (WSR) and sagittal abdominal diameter to height ratio (SAD/H). Body fat percent (FAT%) was measured using bioelectrical impedance analysis Results and discussion We have established that FAT% has the strongest correlation with BMI in all examined groups. Comparing with other body fat distribution parameters, FAT% had the best correlation with waist circumference and WHR. 13.33% of normal-weight women and 10% of normal-weight men presented with borderline increased body fat mass, whereas 6.67% of normal-weight women had increased values (normal-weight obesity). Normal-weight subjects had higher values of anthropometrics parameters comparing with normal-weight subjects with normal FAT%. Conclusion In order to achieve precise diagnosis of obesity it is necessary, apart from certain anthropometrics measurements, to establish the body fat mass, using some methods of body composition analysis. In order to identify subjects with higher risk for obesity complications, it is necessary to analyze the size of intraabdominal fat depots. We found that waist circumference, as a good predictor of specific fat distribution, also has a very good correlation with total body fat mass.


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