Relationship of Serum Leptin to Total and Truncal Body Fat

1997 ◽  
Vol 93 (6) ◽  
pp. 581-584 ◽  
Author(s):  
Melina S. Solin ◽  
Madeleine J. Ball ◽  
Iain Robertson ◽  
Andrea De Silva ◽  
Julie A. Pasco ◽  
...  
Keyword(s):  
Body Fat ◽  
Partial Correlation ◽  
Correlation Coefficients ◽  
Fat Distribution ◽  
Anthropometric Measures ◽  
Serum Leptin ◽  
Percentage Body Fat ◽  
Independent Association ◽  
Relationship Of ◽  
The Relationship

1. In this study we investigated the relationship between serum leptin levels and body fat distribution in a random sample of women of widely ranging age and body mass index. Anthropometry and dual energy X-ray absorptiometry were used to measure body fat and its distribution. 2. Leptin levels (log transformed) were not significantly correlated with age, but were significantly positively correlated (P < 0.001) with most anthropometric measures except waist-to-hip circumference ratio. The strongest correlations were with total grams of body fat and percentage body fat (r = 0.68 and 0.76 respectively, P < 0.001). When corrected for percentage body fat the partial correlation coefficients for all other measures became non-significant. The correlation with truncal body fat fell significantly from 0.66 to −0.05 after correction, but the partial correlation with total body fat remained significant (P < 0.005) when grams of truncal fat were controlled for (r = 0.21). 3. These results indicate that the relationship of serum leptin to percentage body fat is the strongest, and that truncal body fat, although the most metabolically active, does not appear to have an independent association with serum leptin.

Degree of obesity influences the relationship of PAI-1 with body fat distribution and metabolic variables in African women

2016 ◽  
Vol 146 ◽  
pp. 95-102 ◽  
Author(s):  
Sunelle A. Barnard ◽  
Marlien Pieters ◽  
Cornelie Nienaber-Rousseau ◽  
Herculina S. Kruger
Keyword(s):  
Body Fat ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
African Women ◽  
Metabolic Variables ◽  
Relationship Of ◽  
The Relationship ◽  
Pai 1

scholarly journals The relationship of the digit ratio (2D:4D) with body fat distribution and handgrip strength in medical students

2021 ◽  
Vol 46 (2) ◽  
pp. 555-565
Author(s):  
Gülay AÇAR ◽  
Betül DİGİLLİ ◽  
Abdulselam SAĞLAM ◽  
Aynur ÇİÇEKCİBAŞI
Keyword(s):  
Medical Students ◽  
Body Fat ◽  
Handgrip Strength ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Digit Ratio ◽  
Relationship Of ◽  
The Relationship

Adiposity and pulmonary function: Relationship with body fat distribution and systemic inflammation

2011 ◽  
Vol 34 (1) ◽  
pp. 64 ◽  
Author(s):  
Andréa Lessard ◽  
Nathalie Alméras ◽  
Hélène Turcotte ◽  
Angelo Tremblay ◽  
Jean-Pierre Després ◽  
...  
Keyword(s):  
Pulmonary Function ◽  
Body Fat ◽  
Systemic Inflammation ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Anthropometric Measures ◽  
Necrosis Factor Alpha ◽  
Serum Leptin ◽  
Tnf Α ◽  
Hs Crp

Purpose: Obesity is associated with changes in pulmonary function and increased systemic inflammation. We explored the relationships among adiposity, body fat distribution indices, serum inflammatory markers and pulmonary function. Methods: This was a post-hoc cross-sectional analysis that included subjects who had previously participated in randomized studies on obesity at our centre. Non-smoking sedentary men (282 subjects, mean age 42) without respiratory diseases were studied. BMI, waist circumference (WC), visceral and subcutaneous adipose tissue (AT), lung residual volume (RV), vital capacity (VC) and expiratory reserve volume (ERV) were measured. Serum leptin, adiponectin, tumor necrosis factor alpha (TNF-α) and high-sensitive C-reactive protein (hs-CRP) levels were measured. Results: In subjects with metabolic syndrome (n=124), percent predicted ERV and RV were significantly associated with BMI (ERV: r=-0.19, p=0.02, RV: r=-0.28, p=0.0007), WC (r=-0.20, p=0.02, r=-0.26, p=0.002), visceral (r=-0.22, p=0.007, r=-0.25, p=0.002) and subcutaneous AT (r=-0.19, p=0.02, r=-0.28, p=0.0007). Percent predicted VC correlated with visceral (r=-0.20, p=0.02) and subcutaneous AT (r=-0.18, p=0.03). Leptin was strongly correlated with BMI (MS/no-MS: r=0.52, p=0.0005/r=0.62, p < 0.0001), WC (r=0.41, p=0.008/r=0.49, p < 0.0001), visceral (r=0.27,p=0.09/0.43, p < 0.0001) and subcutaneous AT (r=0.46, p=0.003/r=0.66, p < 0.0001), while adiponectin levels were associated in subjects with no-MS with WC (r=-0.20, p=0.01), visceral (r=-0.22, p=0.008), and subcutaneous AT (r=-0.17, p=0.05). When adjusted for anthropometric measures, neither ERV, RV nor VC was significantly correlated with serum leptin, adiponectin, TNF-α, or hs-CRP levels. Conclusion: These results suggest that the influence of obesity on lung function in healthy subjects is mostly mediated by mechanical factors. Furthermore, not only BMI but also the pattern of fat distribution should be considered when studying associations between adiposity indices and mechanical or inflammatory variables potentially associated with pulmonary function.

scholarly journals A novel body circumferences-based estimation of percentage body fat

2018 ◽  
Vol 119 (6) ◽  
pp. 720-725 ◽  
Author(s):  
Yair Lahav ◽  
Yoram Epstein ◽  
Ron Kedem ◽  
Haggai Schermann
Keyword(s):  
Body Fat ◽  
Field Research ◽  
Cost Effective ◽  
Population Based ◽  
Reliable Estimate ◽  
Study Cohort ◽  
Anthropometric Measures ◽  
Percentage Body Fat ◽  
Health Club ◽  
Body Circumferences

AbstractAnthropometric measures of body composition are often used for rapid and cost-effective estimation of percentage body fat (%BF) in field research, serial measurements and screening. Our aim was to develop a validated estimate of %BF for the general population, based on simple body circumferences measures. The study cohort consisted of two consecutive samples of health club members, designated as ‘development’ (n 476, 61 % men, 39 % women) and ‘validation’ (n 224, 50 % men, 50 % women) groups. All subjects underwent anthropometric measurements as part of their registration to a health club. Dual-energy X-ray absorptiometry (DEXA) scan was used as the ‘gold standard’ estimate of %BF. Linear regressions where used to construct the predictive equation (%BFcal). Bland–Altman statistics, Lin concordance coefficients and percentage of subjects falling within 5 % of %BF estimate by DEXA were used to evaluate accuracy and precision of the equation. The variance inflation factor was used to check multicollinearity. Two distinct equations were developed for men and women: %BFcal (men)=10·1−0·239H+0·8A−0·5N; %BFcal (women)=19·2−0·239H+0·8A−0·5N (H, height; A, abdomen; N, neck, all in cm). Bland–Altman differences were randomly distributed and showed no fixed bias. Lin concordance coefficients of %BFcal were 0·89 in men and 0·86 in women. About 79·5 % of %BF predictions in both sexes were within ±5 % of the DEXA value. The Durnin–Womersley skinfolds equation was less accurate in our study group for prediction of %BF than %BFcal. We conclude that %BFcal offers the advantage of obtaining a reliable estimate of %BF from simple measurements that require no sophisticated tools and only a minimal prior training and experience.

Body fat distribution and genetic variants are associated with sex differences in serum leptin and adiponectin concentrations

2018 ◽  
Vol 275 ◽  
pp. e173
Author(s):  
T. Christen ◽  
S. Trompet ◽  
R. Noordam ◽  
J. van Klinken ◽  
K. Willems van Dijk ◽  
...  
Keyword(s):  
Sex Differences ◽  
Body Fat ◽  
Genetic Variants ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Serum Leptin
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