Steven B. Heymsfield
Pennington Biomedical Research Center
EndocrinologyBody mass indexObesityDiabetes mellitusMedicine
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Publications 739
#1Dylan Lowe (UCSF: University of California, San Francisco)H-Index: 2
#2Ethan J. Weiss (UCSF: University of California, San Francisco)H-Index: 15
Last. Nancy Wu (UCSF: University of California, San Francisco)H-Index: 1
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#1Camila E. Orsso (U of A: University of Alberta)H-Index: 2
#2Maria Ines Barreto Silva (UERJ: Rio de Janeiro State University)
Last. Andrea M. Haqq (U of A: University of Alberta)H-Index: 19
view all 7 authors...
Accurate measurement of body composition is required to improve health outcomes in children and adolescents with overweight or obesity. This systematic review aimed to summarize the reliability and validity of field and laboratory body composition techniques employed in pediatric obesity studies to facilitate technique selection for research and clinical practice implementation. A systematic search in MEDLINE (via PubMed), EMBASE, CINAHL, and SPORTDiscus from inception up to December 2019 was co...
#1Angelo Pietrobelli (Pennington Biomedical Research Center)H-Index: 55
#2Luca PecoraroH-Index: 1
Last. Steven B. Heymsfield (Pennington Biomedical Research Center)H-Index: 111
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OBJECTIVE: To test the hypothesis that youths with obesity, when removed from structured school activities and confined to their homes during the COVID-19 pandemic, will display unfavorable trends in lifestyle behaviors. METHODS: The sample included 41 children and adolescents with obesity participating in a longitudinal observational study located in Verona, Italy. Lifestyle information including diet, activity, and sleep behaviors were collected at baseline and three weeks into the national lo...
#1Dympna Gallagher (Columbia University)H-Index: 45
#1Dympna Gallagher (Columbia University)H-Index: 42
Last. Shumei Sun (UM: University of Michigan)
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Body composition estimates are widely used in clinical research and field studies as measures of energy-nutrient balance, functionality and health. Despite their broad relevance and multiple applications, important gaps remain in techniques available for accurately and precisely quantifying body composition in infants and children from birth through 5 years. Identifying these gaps and highlighting research needs in this age group were the topics of a National Institutes of Health workshop held i...
#1Donna H. RyanH-Index: 52
#2Eric RavussinH-Index: 101
Last. Steven B. HeymsfieldH-Index: 111
view all 3 authors...
5 CitationsSource
#1Steven B. Heymsfield (Pennington Biomedical Research Center)H-Index: 111
#2Annaswamy Raji (MSD: Merck & Co.)H-Index: 2
Last. Steven G. Terra (Pfizer)H-Index: 12
view all 7 authors...
OBJECTIVE: This study aimed to evaluate ertugliflozin in patients with overweight and obesity with type 2 diabetes mellitus. METHODS: Data from three placebo-controlled, randomized, Phase 3 studies were pooled. Patients with baseline BMI >/= 25 (1,377/1,544; 89%) were assessed with a stratification by BMI subgroup. RESULTS: At week 26, reductions from baseline in glycated hemoglobin A1c (HbA1c), fasting plasma glucose, body weight (BW), and systolic blood pressure (SBP) were greater with ertugli...
#1Patrick S Harty (TTU: Texas Tech University)
#1Patrick S. Harty (TTU: Texas Tech University)H-Index: 2
Last. Grant M. Tinsley (TTU: Texas Tech University)H-Index: 7
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Estimates of body composition have been derived using 3-dimensional optical imaging (3DO), but no equations to date have been calibrated using a 4-component (4C) model criterion. This investigation reports the development of a novel body fat prediction formula using anthropometric data from 3DO imaging and a 4C model. Anthropometric characteristics and body composition of 179 participants were measured via 3DO (Size Stream® SS20) and a 4C model. Machine learning was used to identify significant ...
Purpose:To analyze the association between body-fluid changes evaluated by bioimpedance vector analysis (BIVA) and dilution techniques over a competitive season in athletes.Methods:Fifty-eight athl...
2 CitationsSource
#1Steven B. HeymsfieldH-Index: 111
#2Abishek StanleyH-Index: 1
Last. Moonseong HeoH-Index: 57
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One century ago Harris and Benedict published a short report critically examining the relations between body size, body shape, age, and basal metabolic rate. At the time, basal metabolic rate was a vital measurement in diagnosing diseases such as hypothyroidism. Their conclusions and basal metabolic rate prediction formulas still resonate today. Using the Harris-Benedict approach as a template, we systematically examined the relations between body size, body shape, age, and skeletal muscle mass ...
1 CitationsSource