scholarly journals 299 THE RELATIONSHIP BETWEEN OBESITY AND FOOT PAIN IS RELATED TO FAT MASS AND FAT DISTRIBUTION BUT NOT MUSCLE MASS

2011 ◽  
Vol 19 ◽  
pp. S139-S140 ◽  
Author(s):  
S.K. Tanamas ◽  
A.E. Wluka ◽  
P. Berry ◽  
H. Menz ◽  
B.J. Strauss ◽  
...  
2012 ◽  
Vol 64 (2) ◽  
pp. 262-268 ◽  
Author(s):  
Stephanie K. Tanamas ◽  
Anita E. Wluka ◽  
Patricia Berry ◽  
Hylton B. Menz ◽  
Boyd J. Strauss ◽  
...  

2019 ◽  
Vol 34 (7) ◽  
pp. 1254-1263 ◽  
Author(s):  
Louise Johanna Maria Alferink ◽  
Katerina Trajanoska ◽  
Nicole Stephanie Erler ◽  
Josje Dorothea Schoufour ◽  
Robert Jacobus Knegt ◽  
...  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
P Argüello ◽  
A Gálvez ◽  
L Castro ◽  
I Sánchez ◽  
P Melo

Abstract Background Body composition is a parameter that is evaluated to predict the nutritional status of the population. This is assessed by bioelectric impedance analysis, which reports BMI, fat percentage, skeletal muscle mass, phase angle (AP), among others. The latter, in recent years has become important because it is a direct electrical measurement in the body, used for the clinical prognosis of diseases such as cancer, anorexy nervous, sarcopenia and chronic liver disease. AP is an index of vitality and integrality of the cell membrane and an indicator of muscle strength and endurance; likewise, it is inversely related to BMI, age and gender, normal values in healthy populations range between 5.5° to 9°, it is believed that physical activity and sport can also modify AP values. Therefore, the purpose of the study was to determine the relationship between body composition and AP in soccer players in Bogotá, Colombia. Methods Quantitative, cross-sectional, correlational approach. The sample was 84 soccer players (age: 18.67 + 2.9 years; height: 1.73 + 0.07 m; weight: 66.58 + 9.94 Kg), who were assessed using the Bioimpedance method through InBody 770®. Results The averages obtained were: AP 6.46°+0.58; muscle mass 32.25 + 5.06 Kg, percentage of fat mass 15.90 + 3.97. There was a direct relationship between AP, skeletal muscle mass and lean mass in the right, left arm, trunk and right leg (p < 0.01), while with the percentage of body fat mass of the right and left arm the relationship was inverse. Conclusions Body composition with high values of musculoskeletal mass and AP favor the functionality and development of strength, which in turn are protective factors for the presence of diseases such as sarcopenia. Key messages The Phase Angle is constituted as an easily accessible marker of nutritional health and morphofunctional profile in athletes. The Phase Angle and body composition as determinants of the profile in athletes.


2005 ◽  
Vol 20 (5) ◽  
pp. 945-951 ◽  
Author(s):  
Sakae Ohkawa ◽  
Mari Odamaki ◽  
Naoki Ikegaya ◽  
Ikuo Hibi ◽  
Kunihiko Miyaji ◽  
...  

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
You HW ◽  
Tan PL ◽  
Mat Ludin AF

INTRODUCTION: Physical activity is an essential element in our daily life that leads to long-term health benefits. Physical activity refers to movement of the body that requires energy. Body mass index (BMI) indicates a ratio of body weight to squared height, which is a useful health indicator. On the contrary, body composition describes the body by measuring percentages of fat and muscle in human bodies. MATERIALS AND METHODS: This cross-sectional study aimed to determine the relationship between physical activities, BMI and body composition among pre-university students from one of the universities in Selangor, Malaysia. Stratified random sampling was employed to recruit 70 pre-university students into this study. RESULTS: From the study, 50% of the respondents are categorized as minimally active. In addition, there is significant difference between the physical activity levels of male and female respondents. The relationship between physical activity and BMI indicates a very weak negative correlation. Similarly, the correlation between physical activity and fat mass is a weak negative relationship. Meanwhile, there is a weak positive correlation between physical activity and muscle mass. CONCLUSION: Therefore, it can be concluded that when physical activity increases, BMI and body fat mass will decrease, while muscle mass will increase. Moreover, it was shown that there was a significant relationship between physical activity and body composition. 


2015 ◽  
Vol 43 (1) ◽  
pp. 138-143 ◽  
Author(s):  
Paul A. Butterworth ◽  
Hylton B. Menz ◽  
Donna M. Urquhart ◽  
Flavia M. Cicuttini ◽  
Karl B. Landorf ◽  
...  

Objective.Foot pain is a common complaint in adults. Evidence suggests that body composition is involved in the development of foot pain. However, whether this is the case in men remains unclear because previous studies mainly examined women. The aim of this cross-sectional study was to determine the relationship between body composition and foot pain in men while accounting for important risk factors.Methods.Among 978 men (median age 60 yrs, range 24–98) from the Geelong Osteoporosis Study who participated in a followup study in 2006 to 2011, 796 provided responses to questions on health status and foot pain. Foot pain was determined using the Manchester Foot Pain and Disability Index, and body composition was measured using dual-energy x-ray absorptiometry.Results.Of the 796 respondents, 177 (22%) had foot pain. Risk factors for foot pain were age (OR 1.03, 95% CI 1.02–1.04), self-reported depression (OR 2.05, 95% CI 1.30–3.20), decreased mobility (OR 1.54, 95% CI 1.05–2.24), and lower education (OR 1.47, 95% CI 1.03–2.09). Foot pain was associated with body mass index (OR 1.05, 95% CI 1.00–1.10), fat mass (OR 1.02, 95% CI 1.03–1.05), and fat mass index (OR 1.08, 95% CI 1.01–1.15), but not fat-free mass (OR 1.01, 95% CI 0.98–1.04) or fat-free mass index (OR 1.05, 95% CI 0.95–1.15) after appropriate adjustments were made.Conclusion.Fat mass is associated with foot pain in men. These findings complement those in studies that have mainly examined women, and provide further evidence for the relationship between obesity and foot pain.


Obesity Facts ◽  
2021 ◽  
pp. 1-9
Author(s):  
Masahiro Ohira ◽  
Yasuhiro Watanabe ◽  
Takashi Yamaguchi ◽  
Hiroki Onda ◽  
Shuhei Yamaoka ◽  
...  

<b><i>Introduction:</i></b> We previously reported that preoperative serum insulin-like growth factor-1 (IGF-1) is a predictor of total weight loss percentage (%TWL) after laparoscopic sleeve gastrectomy (LSG). IGF-1 may suppress muscle loss after surgery. IGF-1 almost accurately reflects the growth hormone (GH) secretion status, and GH has lipolytic effects. Therefore, IGF-1 may influence both the maintenance of skeletal muscle and the reduction of adipose tissue after LSG. The identification of the relationship between preoperative serum IGF-1 and body composition changes after LSG can help in understanding the pathophysiology of obesity. <b><i>Methods:</i></b> We retrospectively reviewed 72 patients with obesity who underwent LSG and were followed up for 12 months. We analyzed the relationship between preoperative serum IGF-1 levels and body composition changes after LSG. A multiple regression model was used. <b><i>Results:</i></b> LSG led to a significant reduction in body weight. Both body fat mass and skeletal muscle mass decreased after LSG. Preoperative serum IGF-1 levels significantly correlated with %TWL, changes in skeletal muscle mass, and body fat mass after LSG. The multiple regression model showed that preoperative serum IGF-1 levels were related to decreased body fat mass and maintaining skeletal muscle mass after LSG. <b><i>Discussion/Conclusion:</i></b> Preoperative IGF-1 measurement helps predict not only successful weight loss but also decreases body fat mass and maintains skeletal muscle mass after LSG.


2020 ◽  
Vol 61 ◽  
pp. 63-76
Author(s):  
Annamária Zsákai ◽  
Piroska Fehér ◽  
Dorina Annár ◽  
Erzsébet Kristóf ◽  
Ferenc Ács

A new clothing resistance model for estimating outdoor thermal load of a walking individual has been proposed by our research team. The model is used as a tool to analyse the relationship between clothing resistance (estimated by this new model) and body structural parameters in different weather conditions. More than 3000 children’s and adults’ body structural – BMI, relative fat mass (fatBMI) and relative muscle mass (muscleBMI) data, as well as simulated data of weather conditions having influence on thermal perception were used in the analysis. The relationship between BMI, fatBMI, muscleBMI and clothing resistance showed very strong relations both in simulated winter and summer conditions, in both sexes in almost every age-group. The bigger the BMI, fatBMI, muscleBMI, the smaller clothing resistance (smaller heating demand) was estimated in winter weather conditions, while the bigger clothing resistance (smaller cooling demand) was estimated in summer weather conditions. Females’ clothing resistance was higher in winter weather conditions, while was smaller in summer conditions than the clothing resistance of their male age-peers having the same relative body mass, fat mass or muscle mass. BMI showed the strongest relations with clothing resistance both in summer and winter thermal stresses. The preliminary results of the project confirmed that age, gender, BMI and presumably relative fat and muscle mass should be built in the procedure of parameterization of clothing resistance. Keywords: Weather conditions; Thermal load; Clothing resistance; Body structural parameters; Body mass index.


2015 ◽  
Author(s):  
Zaki Hassan-Smith ◽  
Angela Taylor ◽  
Beverly Hughes ◽  
Theresa Brady ◽  
Pamela Jones ◽  
...  

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