The relationship between waist circumference and abdominal and total body fat in children and adolescents: Sex and race differences

2012 ◽  
Vol 15 ◽  
pp. S273-S274
Author(s):  
T. Barreira ◽  
S. Broyles ◽  
A. Gupta ◽  
P. Katzmarzyk
Obesity ◽  
2011 ◽  
Vol 19 (2) ◽  
pp. 402-408 ◽  
Author(s):  
Sarah M. Camhi ◽  
George A. Bray ◽  
Claude Bouchard ◽  
Frank L. Greenway ◽  
William D. Johnson ◽  
...  

Obesity ◽  
2013 ◽  
Vol 21 (6) ◽  
pp. 1251-1255 ◽  
Author(s):  
A. E. Staiano ◽  
S. T. Broyles ◽  
A. K. Gupta ◽  
P. T. Katzmarzyk

Medicine ◽  
2017 ◽  
Vol 96 (39) ◽  
pp. e8126 ◽  
Author(s):  
Yiu-Hua Cheng ◽  
Yu-Chung Tsao ◽  
I-Shiang Tzeng ◽  
Hai-Hua Chuang ◽  
Wen-Cheng Li ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Brissia Lazalde ◽  
Héctor M. Huerta-Guerrero ◽  
Luis E. Simental-Mendía ◽  
Martha Rodríguez-Morán ◽  
Fernando Guerrero-Romero

Objective. To evaluate the association between Haptoglobin (HP) gene polymorphisms with inflammatory status in obese subjects.Materials and Methods. A cross-sectional study was carried out. A total of 276 apparently healthy men and nonpregnant obese women were enrolled and allocated according to theHPgenotype into theHP1/HP1,HP2/HP1, andHP2/HP2groups. Distribution ofHPgenotypes was 49, 87, and 140 for theHP1/HP1,HP2/HP1, andHP2/HP2, respectively. TheHPgenotype was determined using the polymerase chain reaction method. A multiple linear regression analysis adjusted by age, sex, waist circumference, and total body fat was used to determine the association betweenHPgenotypes with TNF-α, IL-6, and high-sensitivity C-reactive protein (hsCRP) levels.Results. A multiple linear regression analysis adjusted by sex, waist circumference, and total body fat was performed showing a significant association between theHP2/HP2genotype and TNF-α(β= 0.180; 95% CI 14.41–159.64,P= 0.01) and IL-6 (β= 0.188; 95% CI 1.53–12.72,P= 0.01) levels, but not with hsCRP (β= −0.008; 95% CI −1.64–1.47,P= 0.914) levels, whereas theHP2/HP1genotype showed no association compared with theHP1/HP1genotype (control group).Conclusion. Results of our study show that theHP2/HP2genotype is associated with elevated TNF-αand IL-6, but not with hsCRP, levels in obese subjects.


2006 ◽  
Vol 12 (2) ◽  
pp. 30-36
Author(s):  
Chloe ANG ◽  
Teik Hin KOH

LANGUAGE NOTE | Document text in English; abstract also in Chinese.The importance of reducing health risk associated with high abdominal fat is frequently emphasized. Consequently, in Singapore, we have witnessed good sales on motorized mechanical oscillators touted to induce slimming based on the principles of acupressure. However, to date, no study has been done to evaluate the efficacy of such equipment. This pilot study aims to examine the efficacy of motorized mechanical oscillators in reducing waist circumference, weight and abdominal fat percentage over 4 weeks as well as augment the data on acupressure for weight reduction. Two male subjects, one mildly overweight and the other severely overweight, were recruited. They were required to keep to their existing lifestyles and dietary habits and were instructed to wear the oscillator belt for 30 minutes each time, twice a day, as per instructions given in the manual. The machine was operated using the automatic mode. The results show a slight decrease in total body fat % ascertained by DEXA scans. There was also a reduction in waist circumference and an increase in lean mass in the trunk area in both subjects. Specifically, one participant (mildly overweight) lost 1.2% of total body fat, and 0.7cm on the waist girth but gained 1 kg of lean trunk mass. The other participant (severely overweight), although having lost only 0.2% of total body fat and 1.3cm on the waist girth, lost 1.7 kg in total body weight. He also gained in trunk lean mass that resulted in trunk fat reduction of 0.4%. There appears to be some success in such treatment modality particularly with regard to reducing abdominal fat. Certainly, more work needs to be done and future studies are being considered that will involve bigger sample sizes.調查顯示腹部脂肪的累積能引起健康危害,因此減少腹部脂肪的重要性需要廣泛重視的。在新加坡,瘦身產品如動力化的機械擺動瘦身帶都獲得非常好的銷售額。此瘦身帶是以穴位理療原理為依據而設計開發的。可是至今,這類產品的瘦身效果還沒得到科學證明。這項中間試驗的目的是研究在超過4個星期的時間裏,這類瘦身帶對減少腰圍,體重和腹部脂肪的百分數效果;同時也希望增添用穴位理療原理在減肥方面的資料。在二位男性患者當中,一位屬於輕微超重,而另一位屬於嚴重超重。在這項中間試驗調查中,二位患者接受了為期四周的治療療程。療程包括每日使用本瘦身帶二次,一次療程三十分鐘。除此以外,患者需要保持原本的生活方式和飲食習慣。並遵循指導手冊方法操作。此瘦身帶的操作是採用自動化的方法。由DEXA結果顯示二位元患者的脂肪都有顯微的下降,腰圍也有所減小,並且腹部的肌肉有明顯的增加。其中一位患者(輕微肥胖者)的脂肪減少了1.2%,腰圍減少了0.7公分,而肌肉增加了1公斤。第二位患者的身體脂肪減少了0.2%,腰圍減少了 1.3公分,體重也減輕了1.7公斤。同時肌肉也增加了,這使到他的腹部的脂肪減少了0.4%。由此可見,這類瘦身方法對減少腹部脂肪似乎有效。所以,這方面的調查和研究需要更多的工作。接下來希望進行更廣泛,更大規模的研究。


2006 ◽  
Vol 91 (11) ◽  
pp. 4459-4466 ◽  
Author(s):  
Gloria Lena Vega ◽  
Beverley Adams-Huet ◽  
Ron Peshock ◽  
DuWayne Willett ◽  
Brijen Shah ◽  
...  

Abstract Objectives: Several reports indicate that the body fat compartments, especially ip fat, predict metabolic risk better than total body fat. The objective of the study was to determine whether this can be confirmed and generalized throughout the population. Participants: A representative sample of 1934 Black and White women and men of the Dallas Heart Study participated in the study. Design: We measured the fat in total body, trunk, and lower body with dual-energy x-ray absorptiometry and in abdominal compartments (sc, ip, and retroperitoneal) with magnetic resonance imaging. Other measurements included body mass index (BMI), waist circumference, blood pressure, plasma lipids, glucose, insulin (including homeostasis model), and C-reactive protein. Results: In all groups, total body fat correlated positively with key metabolic risk factors, i.e. homeostasis model, triglyceride/high-density lipoprotein-cholesterol ratios, C-reactive protein, and blood pressure; however, it explained less than one third of the variability of all the risk factors. After adjustment for total body fat, truncal fat conferred additional positive correlation with risk factors. Furthermore, with multivariable regression analysis, ip fat conferred independent correlation with plasma lipids beyond a combination of other compartments including truncal fat. Still, except for insulin levels, all combinations including ip fat still explained less than one third of the variability in risk-factor levels. Conversely, lower body fat correlated negatively with risk factors; i.e. lower body fat appeared to offer some protection against risk factors. Conclusions: Body fat distribution has some influence on risk factors beyond total body fat content. Both waist circumference and BMI significantly predicted risk factors after adjustment for total body fat, and for clinical purposes, most of the predictive power for men was contained in waist circumference, whereas for women, BMI and waist circumference were similarly predictive. Finally, even though the correlations between combined body fat parameters and risk factors explained only a portion of the variation in the latter, the average number of categorical metabolic risk factors increased progressively with increasing obesity. Hence, obesity seemingly has more clinical impact than revealed in these correlative studies.


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