Prediction of lean body mass from height and weight

Hume, Robert

doi:10.1136/jcp.19.4.389

Cited by 279 publications

(189 citation statements)

References 2 publications

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“…They estimated that the relative contribution of skeletal muscle lipase to total LPLA increased upon starvation. This was not apparent in our present study, if we consider that the total adipose tissue mass 29 was…”

Section: Discussioncontrasting

confidence: 58%

Serum lipoprotein and lipoprotein lipase in overweight, type II diabetics during and after supplemented fasting.

Vessby¹,

Selinus²,

Lithell³

1985

Arteriosclerosis

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Section: Discussioncontrasting

confidence: 58%

Serum lipoprotein and lipoprotein lipase in overweight, type II diabetics during and after supplemented fasting.

Vessby¹,

Selinus²,

Lithell³

1985

Arteriosclerosis

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“…Because adipocytes contain only 5%-7% water (24), the additional dialysis needed to remove dialyzable toxins might be smaller in people with greater fat mass. In contrast, for a given weight, greater height may indicate greater lean body mass (25), and hence a larger pool of dialyzable toxins. Thus, taller people with ESRD may have a greater exposure to uremic toxins because they may have increased numbers of nonadipocyte cells and more dialyzable toxins due to increased muscle mass, for the same weight on average, as compared with shorter persons (26).…”

Section: Discussionmentioning

confidence: 99%

Association of Height with Mortality in Patients Undergoing Maintenance Hemodialysis

Shapiro

Streja

Ravel

et al. 2015

Clinical Journal of the American Society of Nephrology

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Background and objectives Body mass index (BMI), determined as kilograms in body weight divided by the square of the height in meters (m 2 ), is inversely associated with mortality in patients undergoing maintenance hemodialysis (MHD). It is commonly inferred that differences in the weight component of the BMI equation are responsible for this negative correlation. However, there are almost no data on the relationship between height and mortality in these patients. This study was conducted to examine the association between height and mortality in MHD patients and to evaluate the contribution of height to the BMI-mortality relationship. , and median follow-up was 852 days (interquartile range, 504-1367 days). Mortality hazard ratios were computed within sexstandardized deciles of height and weight, and outcomes included all-cause mortality and cardiovascular, gastrointestinal, cancer, and infection mortality. Hazard models were unadjusted, adjusted for case-mix variables, or adjusted for case-mix variables plus laboratory variables.Results Mean age was 61615 years; 45% of patients were women and 57% had diabetes. In adjusted models, height, also adjusted for weight, was directly associated with all-cause mortality and cardiovascular, infection, and cancer mortality. Compared with the median height decile, mortality risk in the highest height decile was 1.18 (95% confidence interval, 1.14 to 1.23) in fully adjusted analyses (P,0.001). Receiver-operating characteristic curves indicated that in adjusted analyses the contribution of height to the relationship between BMI and mortality was almost identical to that of weight.Conclusions In MHD patients, height is positively associated with mortality risk and contributes similarly to weight with regard to the negative BMI-mortality relationship.

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“…Steady-state EGP during the clamp was obtained as the difference between the mean glucose rate of appearance during the last 40 min and the mean exogenous glucose infusion during the same time period. Lean body mass was estimated by Hume's formula (28). Statistical analysis.…”

Section: Methodsmentioning

confidence: 99%

Clustering of Insulin Resistance With Vascular Dysfunction and Low-Grade Inflammation in Type 2 Diabetes

Natali

Toschi²,

Baldeweg³

et al. 2006

Diabetes

171

131

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1Vascular dysfunction, low-grade inflammation, insulin resistance, and impaired fibrinolysis have each been reported to be present in type 2 diabetes, but their relationships, and the role of obesity, have not been investigated. We measured insulin sensitivity (euglycemic clamp), forearm blood flow responses to graded local acetylcholine (Ach) and sodium nitroprusside (SNP) infusions, plasma concentrations of tumor necrosis factor (TNF)-␣, interleukin (IL)-6, von Willebrand factor (vWF), plasminogen activator inhibitor (PAI)-1, tissue plasminogen activator (tPA), and high-sensitivity C-reactive protein (hs-CRP) in 81 diabetic patients. When patients were stratified by insulin resistance, more severe insulin resistance was associated (P < 0.05) with overweight, central fat distribution, hypertension, and dyslipidemia (with similar sex distribution, age, fasting plasma glucose, and HbA 1c ). With regard to vascular function, both endothelium-dependent (Ach) (؊22, ؊40, and ؊52%; P < 0.0001) and -independent (SNP) (؊3, ؊7, and ؊27%; P < 0.02) vasodilatation were progressively reduced across insulin resistance tertiles. In multivariate analysis, inflammatory markers (IL-6, hs-CRP, and TNF-␣) were independently associated with insulin resistance and fasting glycemia, fibrinolytic markers PAI-1 and tPA with insulin resistance and central fat distribution, and vascular indexes (vWF, Ach, and SNP vasodilation) with insulin resistance and obesity or cytokines (TNF-␣ or IL-6). In type 2 diabetes, insulin resistance is associated with vascular dysfunction/damage, impaired fibrinolysis, and low-grade inflammation independently of obesity and poor glycemic control.

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Prediction of lean body mass from height and weight

Cited by 279 publications

References 2 publications

Serum lipoprotein and lipoprotein lipase in overweight, type II diabetics during and after supplemented fasting.

Serum lipoprotein and lipoprotein lipase in overweight, type II diabetics during and after supplemented fasting.

Association of Height with Mortality in Patients Undergoing Maintenance Hemodialysis

Clustering of Insulin Resistance With Vascular Dysfunction and Low-Grade Inflammation in Type 2 Diabetes

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