A Longitudinal Study of Changes in Body Mass Index and Total Body Composition After Radioiodine Treatment for Thyrotoxicosis

Thyroid ◽  
1997 ◽  
Vol 7 (3) ◽  
pp. 401-405 ◽  
Author(s):  
RAYMOND E. de la ROSA ◽  
JAMES V. HENNESSEY ◽  
JOSEPH R. TUCCI
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Longitudinal Study ◽  
Body Mass ◽  
Radioiodine Treatment ◽  
Total Body Composition ◽  
Total Body

Integrated total body composition versus Body Mass Index in young athletes

2020 ◽  
Vol 72 (3) ◽  
Author(s):  
Cristian Petri ◽  
Gabriele Mascherini ◽  
Vittorio Bini ◽  
Giuseppe Anania ◽  
Piergiuseppe Calà ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Young Athletes ◽  
Total Body Composition ◽  
Total Body

scholarly journals Patterns of clinical presentation of climacteric syndrome and total body composition in women with menopausal metabolic syndrome

2021 ◽  
pp. 170-175
Author(s):  
Z. E. Shulukian ◽  
L. S. Tselkovich ◽  
R. B. Balter ◽  
T. V. Ivanova ◽  
A. R. Ibragimova ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Metabolic Disorders ◽  
Clinical Presentation ◽  
The Body ◽  
Menopausal Women ◽  
Total Body Composition ◽  
Total Body

Introduction. Modern gynecological endocrinology widely discusses various disorders accompanying the onset of menopause. Metabolic disorders are one of the leading risk factors for the development of ischemic heart disease and vascular dystonia in menopausal women. That is why the drugs prescribed as part of menopausal hormone therapy are contraindicated for patients with severe metabolic disorders and predisposition to thrombosis. Women with a normal body mass index may develop the menopausal metabolic syndrome, since its presentations largely depend on the total body composition and the specific gravity of visceral adipose tissue.Aim. To assess the patterns of clinical presentation of menopause in women with metabolic menopausal syndrome.Materials and methods. In the furtherance of that aim, we examined 184 women who were in menopause 1 to 5 years at the age of 52 to 57 years (average age 54.2 ± 0.5 years). Of these, 87 were diagnosed with metabolic syndrome – they were included in the main group. The comparison group included 97 menopausal women without metabolic disorders.Results and discussion. We assessed the severity of clinical presentations and the total body composition of the patients in the selected groups. It has been established that the body mass index cannot serve as a criterion for evaluation of metabolic processes, despite the sufficient simplicity of its computation.Conclusions. The authentic view of the risks of metabolic disorders in menopausal women requires the study of total body composition.

Annual Changes in Total Body Fat and Fat-free Mass in Children from 8 to 18 Years in Relation to Changes in Body Mass Index: The Fels Longitudinal Study

2006 ◽  
Vol 904 (1) ◽  
pp. 420-423 ◽  
Author(s):  
ROGER M. SIERVOGEL ◽  
L. MICHELE MAYNARD ◽  
WAYNE A. WISEMANDLE ◽  
ALEX F. ROCHE ◽  
SHUMEI S. GUO ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Longitudinal Study ◽  
Body Mass ◽  
Body Fat ◽  
Fat Free Mass ◽  
Total Body Fat ◽  
Annual Changes ◽  
Total Body

The Half Body Study Does Effectively Reflect Total Body Composition of Fat, Lean and Total Body Mass

2014 ◽  
Vol 17 (3) ◽  
pp. 413
Author(s):  
J. Wang ◽  
A.K. Pall ◽  
F. Rajan ◽  
M. Lothert ◽  
T.W. Schwalenberg ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Total Body Mass ◽  
Total Body Composition ◽  
Total Body

scholarly journals Body Mass Index, Lean Mass, and Body Fat Percentage as Mediators of the Relationship between Milk Consumption and Bone Health in Young Adults

Nutrients ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2500 ◽  
Author(s):  
Ana Torres-Costoso ◽  
Purificación López-Muñoz ◽  
Asunción Ferri-Morales ◽  
Elisabeth Bravo-Morales ◽  
Vicente Martínez-Vizcaíno ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Bone Health ◽  
Milk Consumption ◽  
Mineral Density ◽  
Total Body ◽  
The Relationship

Identifying environmental factors that influence bone health is crucial for developing effective intervention strategies that maximize peak bone mass. The aim of this study was to estimate the relationship between milk consumption and bone mineral density (BMD) in young adults, and to examine whether this relationship is mediated by body mass index (BMI) and total lean and fat mass. A cross-sectional study involving college students (n = 239) from a Spanish public university was performed. Data on milk consumption and anthropometric and body composition variables were collected. The Pearson correlation coefficients among total body BMD, body composition variables, and milk consumption ranged from −0.111 to −1.171, most of them statistically significant (p < 0.05). The ANCOVA (analysis of covariance) models showed that those with higher regular milk consumption had less total body BMD than those with lower regular milk consumption (p < 0.05), even after controlling for different sets of confounders. In the mediation analysis, BMI and lean and fat mass turned out to act as full mediators of the relationship between regular milk consumption and total body BMD (z = −1.7148, −1.3208, and −1.8549, respectively; p ≤ 0.05). In conclusion, milk consumption, per se, does not seem to have a direct effect on bone development, because its association seems to be fully mediated by body composition variables in young adults.

Factors influencing body composition in persons with spinal cord injury: a cross-sectional study

2003 ◽  
Vol 95 (6) ◽  
pp. 2398-2407 ◽  
Author(s):  
Ann M. Spungen ◽  
Rodney H. Adkins ◽  
Charles A. Stewart ◽  
Jack Wang ◽  
Richard N. Pierson ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Body Composition ◽  
Body Mass ◽  
Lean Mass ◽  
The Body ◽  
Control Group ◽  
Cord Injury ◽  
Total Body

To determine the body composition differences across age, 133 men with chronic spinal cord injury (SCI) (66 with tetraplegia, 67 with paraplegia) were compared with an age-, height-, and ethnicity-matched able-bodied male reference population ( n = 100) using two different dual-energy X-ray absorptiometry densitometers. The effects of duration of injury, level, and completeness of lesion were analyzed in the SCI population. Independent of age, total body and regional lean mass were lower and fat mass was higher in persons with SCI compared with controls. The SCI group was 13 ± 1% (means ± SE) fatter per unit of body mass index (kg/m2) compared with the control group ( P < 0.0001). Advancing age was strongly associated with less lean mass and greater adiposity in those with SCI, whereas it was mildly related in the controls. Total body and regional arm and trunk, but not leg, lean tissues were lower in subjects with SCI, across all ages, than in the controls. In summary, persons with SCI were fatter for any body mass index and demonstrated significantly less lean and more adipose tissues for any given age compared with controls.

scholarly journals Traits of Orthorexia Nervosa and the Determinants of These Behaviors in Elite Athletes

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2683
Author(s):  
Olga Surała ◽  
Jadwiga Malczewska-Lenczowska ◽  
Dorota Sadowska ◽  
Izabela Grabowska ◽  
Agata Białecka-Dębek
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Female Athletes ◽  
Elite Athletes ◽  
Orthorexia Nervosa ◽  
Total Body Mass ◽  
Training Time ◽  
Weekly Training ◽  
Total Body Composition ◽  
Total Body

Background: The purpose of this study was to evaluate the traits of orthorexia nervosa (ON) and its relation to body composition and anthropometric indices among elite athletes. Methods: We studied 273 (125 female, 148 male) competitive athletes. ON was assessed with the self-administered ORTO-15 questionnaire. Total body composition was determined using dual-energy X-ray absorptiometry (DXA). Results: The ORTO-15 score was independent of sex, type of effort or age. The ORTO-15 score was related to: total body mass (TBM) (p = 0.037; R = 0.170), body mass index (BMI) (p = 0.022; R = 0.187), bone mineral content (BMC) (p = 0.035; R = 0.172), lean soft tissue (p = 0.026; R = 0.182) and visceral adipose tissue (VAT) (p = 0.007; R = 0.255) in the male; BMI (p = 0.045; R = 0.412) and BMC (p = 0.012; R = 0.506) in weight-dependent male athletes. There was no relationship between ORTO-15 score and body composition in the total study group and subgroup of female athletes. In female athletes, ON tendencies were related to the weekly training time (p = 0.039), but in sprint and high-intensity intermittent efforts subgroup exclusively. Conclusions: Factors related to ON tendencies concerned exclusively BMI and body composition in male, and the weekly training time in female athletes. The results from this study demonstrate that a significant percentage of athletes, irrespective of sex, age, type of sport or hours of training per week, may manifest traits of orthorexia nervosa.

scholarly journals Study on the Anthropometric and Body Composition Indices for Prediction of Cold and Heat Patter

2021 ◽  
Vol 42 (4) ◽  
pp. 195-206
Author(s):  
Sujeong Mun ◽  
Kihyun Park ◽  
Siwoo Lee
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Prediction Models ◽  
Correlation Coefficients ◽  
The Body ◽  
Extracellular Water ◽  
Heat Pattern ◽  
Parsimonious Model ◽  
Total Body

Objectives: Many symptoms of cold and heat patterns are related to the thermoregulation of the body. Thus, we aimed to study the association of cold and heat patterns with anthropometry/body composition.Methods: The cold and heat patterns of 2000 individuals aged 30–55 years were evaluated using a self-administered questionnaire.Results: Among the anthropometric and body composition variables, body mass index (-0.37, 0.39) and fat mass index (-0.35, 0.38) had the highest correlation coefficients with the cold and heat pattern scores after adjustment for age and sex in the cold-heat group, while the correlation coefficients were relatively lower in the non-cold-heat group. In the cold-heat group, the most parsimonious model for the cold pattern with the variables selected by the best subset method and Lasso included sex, body mass index, waist-hip ratio, and extracellular water/total body water (adjusted R2 = 0.324), and the model for heat pattern additionally included age (adjusted R2 = 0.292).Conclusions: The variables related to obesity and water balance were the most useful for predicting cold and heat patterns. Further studies are required to improve the performance of prediction models.

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