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Steven B. Heymsfield
University of California, San Francisco
365Publications
101H-index
43.9kCitations
Publications 365
Newest
Published on Nov 1, 2017in Bone 4.36
John A. Shepherd47
Estimated H-index: 47
(UCSF: University of California, San Francisco),
Bennett K. Ng5
Estimated H-index: 5
(UCSF: University of California, San Francisco)
+ 1 AuthorsSteven B. Heymsfield101
Estimated H-index: 101
(UCSF: University of California, San Francisco)
Abstract Body composition measurements from DXA have been available since DXA technology was developed 30 years ago, but are historically underutilized. Recently, there have been rapid developments in body composition assessment including the analysis and publication of representative data for the US, official usage guidance from the International Society for Clinical Densitometry, and development of regional body composition measures with clinical utility. DXA body composition is much more than...
Published on Jan 1, 2017
Mark P. Ettinger18
Estimated H-index: 18
,
Thomas W. Littlejohn4
Estimated H-index: 4
+ 8 AuthorsNancy Stambler1
Estimated H-index: 1
Context Obese individuals tend to resist the weight-regulating effects of exog- enously administered leptin. A genetically engineered recombinant human variant cili- ary neurotrophic factor (rhvCNTF) that signals through leptinlike pathways in the hy- pothalamus has been shown to bypass leptin resistance in animal models of obesity. Objective To identify a safe and well-tolerated dose of rhvCNTF that causes weight loss in obese adults. Design, Setting, and Patients Twelve-week, double-blind, ran...
Published on May 1, 2016in The American Journal of Clinical Nutrition 6.57
Courtney M. Peterson18
Estimated H-index: 18
,
Diana M. Thomas26
Estimated H-index: 26
(MSU: Montclair State University)
+ 1 AuthorsSteven B. Heymsfield101
Estimated H-index: 101
(Pennington Biomedical Research Center)
Ideal body weight (IBW) equations and body mass index (BMI) ranges have both been used to delineate healthy or normal weight ranges, although these 2 different approaches are at odds with each other. In particular, past IBW equations are misaligned with BMI values, and unlike BMI, the equations have failed to recognize that there is a range of ideal or target body weights.For the first time, to our knowledge, we merged the concepts of a linear IBW equation and of defining target body weights in ...
Published on Feb 1, 2016in Current Biology 9.19
Diana M. Thomas26
Estimated H-index: 26
(MSU: Montclair State University),
Steven B. Heymsfield101
Estimated H-index: 101
(Pennington Biomedical Research Center)
Summary Do greater levels of exercise always promote relatively higher levels of daily energy expenditure and health? Recent studies challenge the traditional assumption that ‘more exercise is better' by suggesting daily energy expenditure and health plateaus are reached beyond which incremental gains are minimal.
Published on Nov 1, 2015
Steven B. Heymsfield101
Estimated H-index: 101
(LSU: Louisiana State University),
M. Cristina Gonzalez10
Estimated H-index: 10
(UCPel: Universidade Católica de Pelotas)
+ 2 AuthorsJolene Zheng7
Estimated H-index: 7
(LSU: Louisiana State University)
The first reports of accurate skeletal muscle mass measurement in human subjects appeared at about the same time as introduction of the sarcopenia concept in the late 1980s. Since then these methods, computed tomography and MRI, have been used to gain insights into older (i.e. anthropometry and urinary markers) and more recently developed and refined methods (ultrasound, bioimpedance analysis and dual-energy X-ray absorptiometry) of quantifying regional and total body skeletal muscle mass. The o...
Published on Apr 1, 2015in Obesity Reviews 8.19
Steven B. Heymsfield101
Estimated H-index: 101
(Pennington Biomedical Research Center),
Cara B. Ebbeling35
Estimated H-index: 35
(Boston Children's Hospital)
+ 4 AuthorsDavid S. Ludwig66
Estimated H-index: 66
(Boston Children's Hospital)
Summary Excess adiposity is the main phenotypic feature that defines human obesity and that plays a pathophysiological role in most chronic diseases. Measuring the amount of fat mass present is thus a central aspect of studying obesity at the individual and population levels. Nevertheless, a consensus is lacking among investigators on a single accepted ‘reference’ approach for quantifying fat mass in vivo. While the research community generally relies on the multi-component body volume class of ...
Published on Feb 1, 2015in Obesity 3.97
Candice A. Myers7
Estimated H-index: 7
(Pennington Biomedical Research Center),
Tim Slack15
Estimated H-index: 15
(LSU: Louisiana State University)
+ 2 AuthorsSteven B. Heymsfield101
Estimated H-index: 101
(Pennington Biomedical Research Center)
Objective Significant clusters of high- and low-obesity counties have been demonstrated across the United States (US). This study examined regional disparities in obesity prevalence and differences in the related structural characteristics across regions of the US. Methods Drawing on model-based estimates from the Centers for Disease Control and Prevention, regional differences in county-level adult obesity prevalence (percent of the adult population [≥ 20 years] that was obese [BMI ≥ 30 kg/m2] ...
Published on Jan 1, 2015
Ralf Nass18
Estimated H-index: 18
,
Suzan S. Pezzoli21
Estimated H-index: 21
+ 7 AuthorsMichael O. Thorner66
Estimated H-index: 66
The present invention provides synthetic compounds, antibodies that recognize and bind to these compounds, polynucleotides that encode these compounds, and immune effector cells raised in response to presentation of these epitopes. The invention further provides methods for inducing an immune response and administering immunotherapy to a subject by delivering the compositions of the invention.
Published on Sep 1, 2014in Advances in Nutrition 7.24
John A. Dawson12
Estimated H-index: 12
(UAB: University of Alabama at Birmingham),
Kevin D. Hall37
Estimated H-index: 37
(NIH: National Institutes of Health)
+ 3 AuthorsSteven B. Heymsfield101
Estimated H-index: 101
(Pennington Biomedical Research Center)
There is limited insight into the mechanisms, progression, and related comorbidities of obesity through simple modeling tools such as linear regression. Keeping in mind the words of the late George E. P. Box that “all models are wrong, some are useful,” this symposium presented 4 useful mathematical models or methodologic refinements. Presenters placed specific emphasis on how these novel models and methodologies can be applied to further our knowledge of the etiology of obesity.
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