Zimian Wang
Biographic Data
| ID | 4283920 |
|---|---|
| NAME | Zimian Wang |
| GIVEN NAMES | Zimian |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Z |
| AFFILIATIONS | St. Luke's-Roosevelt Hospital Center |
| VERIFIED | No |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1999 |
| LATEST PUBLICATION YEAR | 2012 |
| H-INDEX | 0 |
New insights into scaling of fat‐free mass to height across children and adults
OBJECTIVE: Forbes expressed fat-free mass (FFM, in kg) as the cube of height (H, in m): FFM = 10.3 × H(3). Our objective is to examine the potential influence of gender and population ancestry on the association between FFM and height. METHODS: This is a cross-sectional analysis involving an existing dataset of 279 healthy subjects (155 males and 124 females) with age 5-59 years and body mass index (BMI) 14-28 kg/m(2). FFM was measured by a four-…
High ratio of resting energy expenditure to body mass in childhood and adolescence
The high REE/BM ratio in childhood results from two model variables: the high fraction of body mass as liver, brain, heart, and kidneys, and their high specific resting metabolic rates. The proposed REE/BM model promotes understanding of the REE, and allows a rational establishment of energy requirements for children and adolescents
Evaluation of specific metabolic rates of major organs and tissues
OBJECTIVES: The specific resting metabolic rates (K(i) , in kcal/kg per day) of major organs and tissues in the Reference Man were suggested in 1992 by Elia: 200 for liver, 240 for brain, 440 for heart and kidneys, 13 for skeletal muscle, 4.5 for adipose tissue and 12 for the residual mass. However, it is unknown whether gender influences the K(i) values. The aim of the present study was to compare the K(i) values observed in nonelderly nonobese …
Ethnicity‐related skeletal muscle differences across the lifespan
Despite research and clinical significance, limited information is available on the relations between skeletal muscle (SM) and age in adults, specifically among Hispanics, African Americans (AA), and Asians. The aim was to investigate possible sex and ethnic SM differences in adults over an age range of 60 years. Subjects were 468 male and 1280 female adults (≥18 years). SM was estimated based on DXA‐measured appendicular lean‐soft tissue using a…
A cellular level approach to predicting resting energy expenditure
We previously derived a cellular level approach for a whole-body resting energy expenditure (REE) prediction model by using organ and tissue mass measured by magnetic resonance imaging (MRI) combined with their individual cellularity and assumed stable-specific resting metabolic rates. Although this approach predicts REE well in both young and elderly adults, there were no studies in adolescents that specifically evaluated REE in relation to orga…
Muscularity in adult humans
Muscularity, or the proportion of adipose tissue-free body mass (ATFM) as skeletal muscle (SM), provides valuable body composition information, especially for age-related SM loss (i.e., sarcopenia). Limited data from elderly cadavers suggest a relatively constant SM/ATFM ratio, 0.540 ± 0.046 for men (mean ± SD, n = 6) and 0.489 ± 0.049 for women (n = 7). The aim of the present study was to examine the magnitude and constancy of the SM/ATFM ratio …
Skeletal muscle mass and distribution in 468 men and women aged 18–88 yr
We employed a whole body magnetic resonance imaging protocol to examine the influence of age, gender, body weight, and height on skeletal muscle (SM) mass and distribution in a large and heterogeneous sample of 468 men and women. Men had significantly ( P
History of the study of human body composition
This review assembles a chronology of human body composition research with the goal of exposing historical roots and identifying future potential trends. Body composition research has emerged over the past several decades as a distinct field, and for many scientists body composition is their primary investigative focus. Technological advances will likely move the field forward and, ultimately, help to expand knowledge of human body composition va…
No prominent works on this page.
History of the study of human body composition
This review assembles a chronology of human body composition research with the goal of exposing historical roots and identifying future potential trends. Body composition research has emerged over the past several decades as a distinct field, and for many scientists body composition is their primary investigative focus. Technological advances will likely move the field forward and, ultimately, help to expand knowledge of human body composition va…
Skeletal muscle mass and distribution in 468 men and women aged 18–88 yr
We employed a whole body magnetic resonance imaging protocol to examine the influence of age, gender, body weight, and height on skeletal muscle (SM) mass and distribution in a large and heterogeneous sample of 468 men and women. Men had significantly ( P
Muscularity in adult humans
Muscularity, or the proportion of adipose tissue-free body mass (ATFM) as skeletal muscle (SM), provides valuable body composition information, especially for age-related SM loss (i.e., sarcopenia). Limited data from elderly cadavers suggest a relatively constant SM/ATFM ratio, 0.540 ± 0.046 for men (mean ± SD, n = 6) and 0.489 ± 0.049 for women (n = 7). The aim of the present study was to examine the magnitude and constancy of the SM/ATFM ratio …
Ethnicity‐related skeletal muscle differences across the lifespan
Despite research and clinical significance, limited information is available on the relations between skeletal muscle (SM) and age in adults, specifically among Hispanics, African Americans (AA), and Asians. The aim was to investigate possible sex and ethnic SM differences in adults over an age range of 60 years. Subjects were 468 male and 1280 female adults (≥18 years). SM was estimated based on DXA‐measured appendicular lean‐soft tissue using a…
A cellular level approach to predicting resting energy expenditure
We previously derived a cellular level approach for a whole-body resting energy expenditure (REE) prediction model by using organ and tissue mass measured by magnetic resonance imaging (MRI) combined with their individual cellularity and assumed stable-specific resting metabolic rates. Although this approach predicts REE well in both young and elderly adults, there were no studies in adolescents that specifically evaluated REE in relation to orga…
Evaluation of specific metabolic rates of major organs and tissues
OBJECTIVES: The specific resting metabolic rates (K(i) , in kcal/kg per day) of major organs and tissues in the Reference Man were suggested in 1992 by Elia: 200 for liver, 240 for brain, 440 for heart and kidneys, 13 for skeletal muscle, 4.5 for adipose tissue and 12 for the residual mass. However, it is unknown whether gender influences the K(i) values. The aim of the present study was to compare the K(i) values observed in nonelderly nonobese …
New insights into scaling of fat‐free mass to height across children and adults
OBJECTIVE: Forbes expressed fat-free mass (FFM, in kg) as the cube of height (H, in m): FFM = 10.3 × H(3). Our objective is to examine the potential influence of gender and population ancestry on the association between FFM and height. METHODS: This is a cross-sectional analysis involving an existing dataset of 279 healthy subjects (155 males and 124 females) with age 5-59 years and body mass index (BMI) 14-28 kg/m(2). FFM was measured by a four-…
High ratio of resting energy expenditure to body mass in childhood and adolescence
The high REE/BM ratio in childhood results from two model variables: the high fraction of body mass as liver, brain, heart, and kidneys, and their high specific resting metabolic rates. The proposed REE/BM model promotes understanding of the REE, and allows a rational establishment of energy requirements for children and adolescents
Body Composition Measurement Techniques (8 works) · Medicine (7 works) · Internal Medicine (5 works) · Body mass index (4 works) · Biology (3 works) · Body weight (3 works) · Demography (3 works) · Diet and metabolism studies (3 works) · Endocrinology (3 works) · Nutrition and Health in Aging (3 works)