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S. S. Guo
Wright State University
137Publications
41H-index
16.6kCitations
Publications 137
Newest
#1W. Cameron Chumlea (Wright State University)H-Index: 25
#2S. S. Guo (Wright State University)H-Index: 41
24 CitationsSource
#1Wm. Cameron Chumlea (Wright State University)H-Index: 50
#2S. S. Guo (Wright State University)H-Index: 41
Single-frequency bioelectrical impedance analyzers used to assess body composition are being replaced by multiple-frequency analyzers. At low frequencies, the current flows primarily through extracellular fluids; at high frequencies, it completely penetrates all body tissues. Measures of bioelectrical impedance at multiple frequencies can differentiate total and extracellular fluid compartments in the body. This has considerable value for assessing clinical and nutritional status. Impedance meas...
152 CitationsSource
#1Roger M. Siervogel (Wright State University)H-Index: 43
#2L. Michele Maynard (Wright State University)H-Index: 8
Last.Bradford Towne (Wright State University)H-Index: 35
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38 CitationsSource
#1S. S. Guo (Wright State University)H-Index: 41
#2Roger M. Siervogel (Wright State University)H-Index: 43
Last.Wm. Cameron Chumlea (Wright State University)H-Index: 50
view all 3 authors...
: The amounts of fat and fat-free mass (FFM) are functions of life-style, diseases, increasing age, and genetics. The levels of these body compartments are established risk factors for cardiovascular and related chronic diseases. Body composition can be assessed by several methods. The measurements for each method have inherent variations, which can be due to error in the measurement or biological variation. This presentation focuses on the reliability and precision of body composition measureme...
13 CitationsSource
#1Wm. Cameron Chumlea (Wright State University)H-Index: 50
#2Roger M. Siervogel (Wright State University)H-Index: 43
Last.S. S. Guo (Wright State University)H-Index: 41
view all 5 authors...
4 CitationsSource
#1W. Cameron Chumlea (Wright State University)H-Index: 25
#2Thomas Rhodes (USMA: United States Military Academy)H-Index: 40
Last.S. S. Guo (Wright State University)H-Index: 41
view all 7 authors...
Introduction: The genetic basis of androgenetic alopecia (AGA) is well accepted in the medical community and among the general population. However, rigorous studies investigating th
33 CitationsSource
#1Wm. Cameron Chumlea (Wright State University)H-Index: 50
#2S. S. Guo (Wright State University)H-Index: 41
Last.Van S. Hubbard (NIH: National Institutes of Health)H-Index: 41
view all 9 authors...
BACKGROUND: Body composition estimates for the US population are important in order to analyze trends in obesity, sarcopenia and other weight-related health conditions. National body composition estimates have not previously been available. OBJECTIVE: To use transformed bioelectrical impedance analysis (BIA) data in sex-specific, multicomponent model-derived prediction formulae, to estimate total body water (TBW), fat-free mass (FFM), total body fat (TBF), and percentage body fat (%BF) using a n...
389 CitationsSource
#1S. S. Guo (Wright State University)H-Index: 41
#2Wei Wu (Wright State University)H-Index: 1
Last.Alex F. Roche (Wright State University)H-Index: 48
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Background: The Centers for Disease Control and Prevention (CDC) introduced the clinical use of the body mass index (BMI; in kg/m 2 ) in growth charts for young males and females. Objective: This study updates our previous report with the use of new CDC BMI charts and definitions of adult overweight and obesity to predict adult overweight or obesity. Design: Logistic models were fitted to relate adult overweight and obesity to childhood and adolescent BMI values at each age for 166 males and 181...
926 CitationsSource
#1Wm. Cameron Chumlea (Wright State University)H-Index: 50
#2Wayne Wisemandle (Wright State University)H-Index: 12
Last.Roger M. Siervogel (Wright State University)H-Index: 43
view all 4 authors...
Background: Frame size is a description of the supportive structure of the skeleton that is used to adjust for skeletal mass and size in measures of body composition and weight. Objective: Data from the Fels Longitudinal Study were used to investigate the relation between bicristal, elbow, knee, biacromial, and wrist breadths and measures of total body fat (TBF), fat-free mass (FFM), bone mineral content (BMC), and bone mineral density (BMD) from dual-energy X-ray absorptiometry. Design: The sam...
32 CitationsSource
OBJECTIVES: The Medical Outcomes Study Short-Form Health Survey (SF-36) was used to assess the quality of life for adults who differed in level of risk for cardiovascular disease. METHODS: Subjects were 51 men and 80 women from southwestern Ohio between the ages of 20 and 86 years. Individuals' level of risk was based on the culmination of four cardiovascular disease risk factors: hypertension (i.e., systolic BP ≥ 140 mmHg or diastolic BP ≥ 90 mmHg), obesity (i.e., BMI ≥ 30), high cholesterol (i...
28 Citations
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