scholarly journals Relationship between body mass, lean mass, fat mass, and limb bone cross-sectional geometry: Implications for estimating body mass and physique from the skeleton

2018 ◽  
Vol 166 (1) ◽  
pp. 56-69 ◽  
Author(s):  
Emma Pomeroy ◽  
Alison Macintosh ◽  
Jonathan C.K. Wells ◽  
Tim J. Cole ◽  
Jay T. Stock
2021 ◽  
pp. 921-929
Author(s):  
I. Ságová ◽  
D. Pavai ◽  
D. Kantárová ◽  
D. Holováčová ◽  
M. Kužma ◽  
...  

Carpal tunnel syndrome (CTS) is neuropathy that occurs due to compression of the median nerve in the carpal tunnel. Acromegaly is one of the important causes of CTS. The aim of this study was to examine median nerve with ultrasound in acromegalic patients and to assess the relationship with activity, duration of disease and body composition parameters. We prospectively examined the cross-sectional area (CSA) of the median nerve with high-resolution ultrasound in 107 acromegalic patients – control group (70 females and 37 males) and 107 healthy controls (70 females and 37 males) matched for age, gender, and BMI. Body composition parameters were assessed by dual-energy X-ray absorptiometry (DXA). The Student t-tests and Pearson correlation were used for data analysis. The cross sectional area of the median nerve was increased in acromegalic patients compared to controls (11.9±4.8 mm2 vs. 7.7±2.4 mm2, P<0.001). Positive correlation was found between IGF-1 levels and CSA in the acromegalic group (R = 0.400, P<0.001). Relationship between CSA and duration of acromegaly was not confirmed. In acromegalic patients, BMI correlated with the CSA (R=0.294, P=0.002). There was no significant difference in BMI, fat mass between the acromegalic and control group, but lean mass was higher in acromegalic patients compared with controls (54.8±13.3 vs. 51±11.6, P=0.047). Lean mass and LMI (total body lean mass/height) positively correlated with CSA in acromegalic patients (R=0.340, P<0.001; R=0.424, P<0.001). No correlation was observed between fat mass and CSA of median nerve in all groups. We confirmed the enlargement of the median nerve in acromegalic patients. This enlargement is proportional to the degree of IGF-1 levels and is not dependent on the duration of the disease. The enlargement of the median nerve in acromegalic patients also depends on lean body mass and is not dependent on fat body mass.


2020 ◽  
Vol 9 (2) ◽  
pp. 522
Author(s):  
Ulrike H. Mitchell ◽  
Bruce Bailey ◽  
Patrick J. Owen

Aerobic exercise training has many known cardiovascular benefits that may promote healthy aging. It is not known if long-term aerobic exercise training is also associated with structural benefits (e.g., lower fat mass, higher areal bone mineral density (BMD) and greater muscle mass). We evaluated these parameters in middle-aged long-term endurance runners compared to sex-, age-, height-, and weight-matched non-running controls. Total and regional lean and fat mass and areal BMD were assessed by dual-energy X-ray absorptiometry. Sagittal magnetic resonance images captured the cross-sectional area and thickness of the lumbar multifidus. Runners (n = 10; all male) had a mean (standard deviation; SD) age of 49 (4) years, height of 178.9 (4.9) cm, weight of 67.8 (5.8) kg, body mass index (BMI) of 21.4 (1.4) kg/m2 and had been running 82.6 (27.9) km/week for 23 (13) years. Controls (n = 9) had a mean (SD) age of 51 (5) years, height of 176.0 (5.1) cm, weight of 72.8 (7.1) kg, and BMI of 23.7 (2.1) kg/m2. BMI was greater in controls (p = 0.010). When compared to controls on average, runners had a 10 percentage-point greater total body lean mass than controls (p = 0.001) and 14% greater trunk lean mass (p = 0.010), as well as less total body (8.6 kg; p < 0.001), arm (58%; p = 0.002), leg (52%; p < 0.001), trunk (73%; p < 0.001), android (91%; p < 0.001), and gynoid fat mass (64%; p < 0.001). No differences were observed between groups for BMD outcomes or multifidus size. These results underscore the benefits of endurance running to body composition that carry over to middle-age.


Circulation ◽  
2018 ◽  
Vol 138 (Suppl_1) ◽  
Author(s):  
Christine Haedtke ◽  
Debra K Moser ◽  
Susan J Pressler ◽  
Terry Lennie

Introduction: As NYHA Class increases from I (ordinary physical activity does not cause undue fatigue), to Class IV (Symptoms are present while at rest) physical limitations become severe. It has previously been shown that HF patients have increased fat within the muscle thus decreasing exercise performance and tolerance. It is unclear if all NYHA classes are similarly affected. Hypothesis: HF patients with NYHA class III-IV will have more fat and less lean mass than those with NYHA class I-II. Methods: Secondary data analysis using cross sectional data from N=253. The parent study was a multicenter study about nutrition and body composition among patients with HF (preserved or reduced, and NYHA classification I-IV) who had been on a stable medication regimen, able to participate in dual-energy X-ray absorptiometry scan and/or BodPod body composition measures, able to read and speak English, and had no cognitive impairment. Women and men were analyzed separately due to known differences in fat and lean mass. Results: Table 1: Sample characteristic’s Testing the hypothesis using 2-way ANOVA and comparing the percentage of body weight that is lean and fat mass in NYHA class I-II vs III-IV found the interaction of gender and NYHA was not significant in either % lean or %fat (p=0.221, 0.190 respectively). NYHA class by itself was not significant (p=0.067) in %lean but was significant in %fat (p=0.046). Gender was significant in both %lean and %fat with men having 9.6% less fat (1.139 SE) and 9.8% more lean mass (1.066 SE) (p≤0.001). NYHA class III-IV had 2.3% (1.139 SE) more fat than those in NYHA class I-II. The R squared was 0.265 and adjusted R squared was 0.256. Conclusions: Part of our hypothesis was correct in that NYHA class III-IV had more fat mass than those in class I-II, but no difference was found in lean. This is an unexpected finding as healthy people gain fat mass while losing lean mass as they age. Additional studies are needed to further examine this result.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
L Gnatiuc ◽  
J Alegre-Diaz ◽  
A Garcilazo-Avila ◽  
R Ramirez ◽  
C Gonzales-Carballo ◽  
...  

Abstract Background Higher body-mass index is associated with increased mortality from vascular disease, renal disease and other metabolic causes. However, body mass reflects both fat and lean mass, which may have very different effects on risk. We investigated the individual and joint relevance of fat and lean mass to mortality from these causes, using data from the Mexico City Prospective Study. Methods Between 1998 and 2004, 150,000 adults from Mexico City were recruited into a prospective study and tracked for cause-specific mortality for 14 years. Fat and lean mass at recruitment were predicted using Mexican-specific anthropometric equations, validated in a subset of participants with additional bio-impedance measures. Cox regression was used to assess the relevance of fat and lean mass at recruitment to mortality from a vascular, renal, or other metabolic cause at ages 35–74 years. Analyses were adjusted for age at risk, sex, residential district, education, recreational physical activity, smoking and alcohol consumption. To avoid reverse causality, analyses excluded those with diabetes or other chronic diseases at recruitment, and deaths in the first 5 years of follow-up. Mortality rate ratios (RRs) relate to the differences per SD of the usual values of various factors or the differences between the top tenth and bottom fifth of the values. Results Among 112,923 participants aged 35–74 years, mean (SD) fat mass in men and women was 22.0 (6.4) kgs and 29.4 (7.8) kgs respectively, while mean (SD) lean mass was 54.9 (7.2) kgs and 39.2 (5.0) kgs respectively. In both men and women, equation-predicted fat and lean mass closely matched the bio-impedance values (all r>0.86). Both fat and lean mass were positively and approximately log-linearly associated with mortality from a vascular or metabolic cause. However, the association of lean mass with mortality was more than accounted for by the correlation of lean with fat mass. Hence, after adjustment for fat mass, lean mass was inversely associated with risk. For a given amount of fat mass, the RR for vascular/metabolic mortality comparing those in the top tenth versus bottom fifth of the predicted lean mass was 0.35 (95% CI 0.24–0.52). Conversely, for a given amount of lean mass, the RR comparing those in the top tenth versus bottom fifth of the predicted fat mass was 4.06 (3.06–5.39). The RRs associated with each SD higher fat mass (1.51, 1.40–1.63) or lean mass (0.79, 0.73–0.86) appeared to be little affected by age, sex, or levels of other confounders, and were broadly similar for the major vascular, renal, and other metabolic mortality. The height-adjusted RRs were 1.41 (1.30–1.53) for fat mass and 0.91 (0.82–1.00) for lean mass. Conclusions In this Mexican cohort, predicted fat and lean mass had opposing effects on vascular and other metabolic deaths, with no evidence of any thresholds throughout the ranges studied.


2012 ◽  
Vol 97 (10) ◽  
pp. 3700-3708 ◽  
Author(s):  
Pawel Szulc ◽  
Michael Schoppet ◽  
Claudia Goettsch ◽  
Martina Rauner ◽  
Thomas Dschietzig ◽  
...  

Abstract Context: Myostatin is expressed mainly in skeletal muscle cells and acts as an inhibitor of muscle growth and differentiation. However, data on the determinants of serum myostatin concentrations in humans are limited. Objective: The aim of the study was to assess the correlates of serum myostatin concentrations in men. Design: We conducted a cross-sectional analysis of the STRAMBO cohort. Setting: Men holding private health insurance coverage with Mutuelle de Travailleurs de la Région Lyonnaise were included in the study. Participants: A total of 1121 male volunteers aged 20–87 yr participated in the study. Interventions: Nonfasting blood samples were collected. Main Outcome Measures: We measured the association of the investigated variables with circulating myostatin levels. Results: Serum myostatin levels increased slightly with age until 57 yr and then decreased. Circulating myostatin levels showed circannual variation, with the highest concentration in spring. In men older than 57 yr, serum myostatin levels decreased across increasing quartiles of body mass index and of total central and peripheral fat mass (P &lt; 0.05 to &lt; 0.001). Serum myostatin levels were positively correlated with serum levels of 25-hydroxycholecalciferol (25OHD), even after adjustment for season. Average myostatin levels were 0.47 sd higher in men with 25OHD above 40 ng/ml, compared with those with 25OHD below 20 ng/ml (P &lt; 0.05). Current smokers had lower myostatin concentration. Neither current physical activity nor serum levels of PTH, testosterone, and 17β-estradiol were associated with myostatin concentrations. Conclusions: In men, circulating myostatin levels show seasonal changes and are associated with age, body mass index, fat mass, smoking, and 25OHD levels.


2009 ◽  
Vol 160 (3) ◽  
pp. 387-395 ◽  
Author(s):  
M B Snijder ◽  
A Flyvbjerg ◽  
C D A Stehouwer ◽  
J Frystyk ◽  
R M A Henry ◽  
...  

ObjectiveTo investigate whether adiponectin is associated with arterial stiffness, and whether adiponectin explains the association between body composition and arterial stiffness.DesignCross-sectional cohort study.MethodsSubjects were participants (n=456, mean age 68.9±6.1 years; age range 60–86 years) of the third follow-up examination of the Hoorn Study. Trunk fat, leg fat, trunk lean, and leg lean mass were measured by dual-energy X-ray absorptiometry. Ultrasound was used to measure distensibility and compliance of the carotid, femoral, and brachial arteries, and carotid Young's elastic modulus (as estimates of peripheral arterial stiffness).ResultsTrunk fat mass was negatively associated with (ln-transformed) adiponectin (standardizedβ=−0.49,P<0.001), while leg fat mass was positively associated with adiponectin (β=0.44,P<0.001), after adjustment for each other, age, and lean mass. After adjustment for age, sex, mean arterial pressure, and estimated glomerular filtration rate, higher adiponectin was associated with decreased peripheral arterial stiffness (βof meanZ-scores of all three arteries=0.14,P=0.001). However, the associations of trunk fat (β=−0.26,P<0.001) and leg fat (β=0.16,P=0.006) with peripheral arterial stiffness were only minimally explained by adiponectin levels.ConclusionTrunk fat and leg fat are oppositely associated with adiponectin. Although low adiponectin was a determinant of increased peripheral arterial stiffness, it only explained a small part of the association between body fat and peripheral arterial stiffness. This indicated that factors other than adiponectin may be more important in the pathophysiological mechanisms by which abdominal obesity leads to arterial stiffness.


2001 ◽  
Vol 4 (4) ◽  
pp. 353-361 ◽  
Author(s):  
Hong-Wen Deng ◽  
Dong-Bing Lai ◽  
Theresa Conway ◽  
Jing Li ◽  
Fu-Hua Xu ◽  
...  

1996 ◽  
Vol 270 (2) ◽  
pp. E320-E327 ◽  
Author(s):  
E. Seeman ◽  
J. L. Hopper ◽  
N. R. Young ◽  
C. Formica ◽  
P. Goss ◽  
...  

Are the associations between muscle strength, lean mass, and bone mineral density (BMD) genetically determined? Based on within-pair differences in 56 monozygotic (MZ) and 56 dizygotic (DZ) female twin pairs, mean age 45 yr (range 24-67), BMD was associated with lean mass, independent of fat mass and height (P < 0.05). A 10% increment in femoral neck (FN) BMD was associated with a 15% increment in lean mass (approximately 6 kg). BMD was associated with muscle strength (measured in 35 pairs) before, but not after, adjusting for lean mass. Based on age-adjusted cross-sectional analyses, same-trait correlations (+/- SE) in MZ pairs were double those in DZ pairs: FN BMD (0.62 +/- 0.08, 0.33 +/- 0.12) and lean mass (0.87 +/- 0.03, 0.30 +/- 0.11; all P < 0.001), consistent with a genetic hypothesis. The cross-trait correlation (r) between lean mass and FN BMD in the same individual was 0.43 +/- 0.06. The cross-trait cross-twin correlation between lean mass in one twin and FN BMD in the other was 0.31 +/- 0.07 in MZ pairs, approximately 75% of the cross-trait correlation (r) and 0.19 +/- 0.09 in DZ paris (P < 0.001). After adjusting for height and fat mass, the MZ and DZ cross-trait cross-twin correlations were no different (0.16 +/- 0.08 and 0.13 +/- 0.09, respectively). Therefore, genetic factors account for 60-80% of the individual variances of both FN BMD and lean mass, and > 50% of their covariance. The association between greater muscle mass and greater BMD is likely to be determined by genes regulating size.


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