scholarly journals OR-039 Normal-weight obesity and physical fitness in Chinese university students: an overlooked association

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Meizhen Zhang ◽  
Moritz Schumann ◽  
Tao Huang ◽  
Timo Törmäkangas ◽  
Sulin Cheng
Keyword(s):  
Skeletal Muscle ◽  
University Students ◽  
Physical Fitness ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Normal Weight ◽  
Female Students ◽  
Male And Female ◽  
Chinese University ◽  
Normal Weight Obesity

Objective The primary aim of this study was to examine the associations of normal weight obesity with physical fitness in Chinese university students. As a secondary aim, we assessed whether possible differences in physical fitness between students classified as NWO and normal weight non-obese (NWNO) were mediated by skeletal muscles mass. Methods A total of 383 students (205 males and 178 females, aged 18–24 years) from two universities volunteered to participate in this study. Body height and weight were measured by standard procedures and body composition was assessed by a bio-impedance device (InBody 720). NWO was defined by a BMI of 18.5 - 23.9 kg/m2 and a body fat percentage of > 20% and > 30% in male and female students, respectively. Physical fitness was measured using a 10-min intermittent endurance running test (Andersen test), counter movement jumps (CMJ) and a 5 × 5-m shuttle run test (5mSR). The level of leisure time physical activity (PA) was assessed by a questionnaire. Results  13.7% of male and 27.5% of female students were classified as NWO. Compared to NWNO, students classified as NWO showed a significantly poorer performance on the Andersen test (males: 1146 ± 70 m vs. 1046 ± 95 m, females: 968 ± 61 m vs. 907 ± 67m, p < 0.001), CMJ (males: 55.0 ± 7.6 cm vs. 44.9 ± 7.5 cm, females: 39.8 ± 8.0 cm vs. 33.7 ± 5.9 cm, p < 0.001), 5mSR (males: 18.7 ± 1.0 s vs. 20.0 ± 0.9 s, females: 21.1 ± 1.1 s vs. 22.4 ± 1.3 s, p < 0.001), respectively. The lower levels of physical fitness in NWO were partially explained by lower skeletal muscle mass (p < 0.001) both in male and female students Conclusions NWO was associated with poorer physical fitness and the relationship was partially mediated by lower skeletal muscle mass. The study indicated that attention should be paid for the potential hidden health risk in university students with normal body mass index but excessive fat mass

The increase in skeletal muscle mass in male and female mice

1973 ◽  
Vol 177 (3) ◽  
pp. 465-469 ◽  
Author(s):  
G. E. Griffin ◽  
G. Goldspink
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Male And Female ◽  
Female Mice

scholarly journals Association between −308 G/A TNF-αPolymorphism and Appendicular Skeletal Muscle Mass Index as a Marker of Sarcopenia in Normal Weight Obese Syndrome

2013 ◽  
Vol 35 ◽  
pp. 615-623 ◽  
Author(s):  
L. Di Renzo ◽  
F. Sarlo ◽  
L. Petramala ◽  
L. Iacopino ◽  
G. Monteleone ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Lean Mass ◽  
Skeletal Muscle Mass ◽  
Normal Weight ◽  
Sarcopenic Obesity ◽  
Appendicular Skeletal Muscle ◽  
Skeletal Muscle Mass Index ◽  
Appendicular Skeletal Muscle Mass

Background and Aim. Normal weight obese (NWO) syndrome is characterized by normal body mass index (BMI), but high amount of fat mass and reduced lean mass. We evaluated allelic frequency of the G/A −308 TNF-αpolymorphism and prevalence of sarcopenia in NWO.Methods. We enrolled 120 Italian healthy women, distinguished into 3 groups: normal weight (NW); NWO, and preobese-obese (PreOB/OB) and evaluated anthropometric parameters, body composition by dual X-ray absorptiometry, blood tests, and genotyping of G/A −308 TNF-αpolymorphism.Results. We found a positive association between sarcopenic obesity and −308 TNF-αpolymorphism. All obese women were sarcopenic and were no carrier of mutation (G/G). Among all G/G, NWO showed significant differences in lean mass and total body lean mass (TBLean) with respect to NW and PreOB/OB (P<0.001). Regarding appendicular skeletal muscle mass index values, 4.21% of NW were sarcopenic (50% G/G and 50% G/A); the same percentage was observed in NWO subjects (100% G/G). Moreover, 2.10% of PreOB/OB were sarcopenic and all were G/G.Conclusion. Our study suggests that TNF-αpolymorphism contributes to sarcopenic obesity susceptibility, in association with body composition. This is the first study that shows the importance of TNF-αpolymorphism to determine TBLean variation in NWO syndrome.

scholarly journals THU0610-HPR PREDICTION EQUATION FOR MUSCLE MASS OVERESTIMATES MUSCLE MASS IN PATIENTS WITH RHEUMATOID ARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 546.2-547
Author(s):  
R. Cavalheiro Do Espírito Santo ◽  
L. Santos ◽  
L. Filippin ◽  
P. Lora ◽  
R. Xavier
Keyword(s):  
Rheumatoid Arthritis ◽  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Rio Grande ◽  
Prediction Equation ◽  
Normal Weight ◽  
Rio Grande Do Sul ◽  
Total Body

Background:Rheumatoid Arthritis (RA) is a chronic, progressive, inflammatory autoimmune disease characterized by systemic manifestations. Often is observed in RA patients changes in body composition, such as reduced muscle mass (sarcopenia) with stable or increased fat mass (FM) [1]. Total-body skeletal muscle mass (SMM), specifically appendicular skeletal muscle, is a key diagnostic feature for the assessment of geriatric syndromes associated with skeletal muscle wasting, such as sarcopenia [2]. Estimation of SMM can be accomplished by a variety of methods, but the majority that considered the gold standard for this purpose are high cost. Due high cost, this methods are unfeasible in population studies and increases the difficulty of use in different clinical contexts. Predictive equations have been developed for estimation of whole-body skeletal muscle mass on the basis of anthropometric data, which can be collected in a more affordable manner, in an attempt to make SMM calculation easier and enable its use in epidemiological research and in clinical settings [3]. However, these equations were not developed for RA populations.Objectives:To compare the anthropometric equation that estimate SMM with body composition measurements derived from DXA in RA patients.Methods:Ninety patients diagnosed with RA according to ACR/EULAR criteria were recruited. Body composition was assessed by total body dual-energy x-ray absorptiometry (DXA) for measurement of appendicular lean mass index (ALMI, kg/m2). The prediction equation for muscle mass proposed by Lee et al (variables included: body weight, height, age, sex and race) was used to generate estimates of SMM, stratified by BMI. Frequency analysis, independent student’s t test and intraclass correlation coefficients (ICC) were performed. Statistical significance was considered as p<0.05Results:Of the 90 patients analyzed, most were women (86.7%; 78/91), with mean age of 56.5±7.3 and median disease duration time of 8.5 (3-18) years. The mean of BMI was 27.39±5.14. Thirty (33.3%) RA patients had normal weight, forty patients (44.4%) were overweight and twenty patients (22.2%) were obese. In normal weight patients, just like overweight and obese patients, the estimates of SMM obtained by Lee equation were higher than those obtained by DXA measurements(Obese: Lee 10.66±1.19 vs DXA 7.10±0.73; Overweight: Lee 8.63±0.99 vs DXA 6.57±0.82; Normal weight: Lee 7.14±0.85vs DXA 6.03±0.71; p<0.05). The Lee equation estimates showed ICC of 0.78 (0.66 - 0.85) with DXA measurements. When stratified by BMI, Lee equation showed ICC of 0.87 (0.72 - 0.94) for normal weight, 0.83 (0.68 - 0.91) for overweight and 0.77 (0.42 - 0.90) for obese with DXA.Conclusion:The muscle mass index by Lee equation overestimates the muscle mass in overweight or obese RA patients compared to DXA. Thus, sarcopenic RA patients may be wrongly classified as normal by the equation. This is probably related to the obese cachexia that these patients often present. More studies are necessary to analysis to better prediction equations for muscle mass in RA patients.References:[1]Smolen JS et al. Nat Rev Dis Prim. 2018;4:18001; [2] Kim J et al. Am J Clin Nutr 2002; 76: 378–83.; [3] Lee RC et al. Am J Clin Nutr 2000;72:796-803.Acknowledgments:We thank the Coordination for the Improvement of Higher Level Personnel (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—CAPES) institution, the Foundation for Research Support of the Rio Grande do Sul State (Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul—FAPERGS), the Research and Events Incentive Fund (Fundo de Incentivo à Pesquisa e Eventos—FIPE) of HCPA and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico—CNPq).Disclosure of Interests:Rafaela Cavalheiro do Espírito Santo: None declared, Leonardo Santos: None declared, Lidiane Filippin: None declared, Priscila Lora: None declared, Ricardo Xavier Consultant of: AbbVie, Pfizer, Novartis, Janssen, Eli Lilly, Roche

scholarly journals Effects of 6 Months of Soy-Enriched High Protein Compared to Eucaloric Low Protein Snack Replacement on Appetite, Dietary Intake, and Body Composition in Normal-Weight Obese Women: A Randomized Controlled Trial

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2266
Author(s):  
Neda Haghighat ◽  
Damoon Ashtary-Larky ◽  
Reza Bagheri ◽  
Alexei Wong ◽  
Neda Cheraghloo ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Dietary Intake ◽  
Muscle Mass ◽  
Body Mass ◽  
Skeletal Muscle Mass ◽  
Controlled Trial ◽  
Normal Weight ◽  
High Protein ◽  
Low Protein

(1) Background: The favorable effects of high protein snacks on body composition and appetite status in lean and athletic populations have been illustrated previously. However, the effects of soy-enriched high protein snacks have not been investigated in women with normal-weight obesity (NWO). Consequently, we aimed at comparing the effects of six months of soy-enriched high protein snack replacement on appetite, body composition, and dietary intake in women with NWO. (2) Methods: One hundred seven (107) women with NWO [(age: 24 ± 3 yrs, BMI: 22.7 ± 2.3 kg/m2, body fat percentage (BFP): 38 ± 3.2%)] who were assigned to one of two groups; high protein snack (HP, n = 52) containing 50 g soybean or isocaloric low-protein snack (protein: 18.2 g, carbohydrate: 15 g, fat: 10 g, energy: 210 kcal) or isocaloric low protein snack (LP, n = 55) containing 3.5 servings of fruit (protein: <2 g, carbohydrate: ≈50 g, fat: <1 g, energy: ≈210 kcal) as part of their daily meals (as a snack at 10 a.m.), successfully completed the study interventions. Body mass (BM), body mass index (BMI), waist circumference (WC), BFP, skeletal muscle mass, dietary intake, and appetite levels were evaluated prior to and after the six-month intervention. (3) Results: Appetite (HP = −12 mm and LP = −0.6 mm), energy intake (HP = -166.2 kcal/day and LP = 91.3 kcal), carbohydrate intake (HP = −58.4 g/day and LP = 6.4 g/day), WC (HP = −4.3 cm and LP = −0.9 cm), and BFP (HP = −3.7% and LP = −0.9%) were significantly (p < 0.05) reduced, while skeletal muscle mass (HP = 1.2 kg and LP = 0.3 kg) significantly increased in the HP compared to the LP group, respectively. (4) Conclusions: Six months of a soy-enriched high protein snack replacement decreased appetite and improved body composition in women with NWO. Our findings suggest that soy-enriched high protein snacks are an efficacious strategy for body composition improvement.

scholarly journals Skeletal Muscle Mass and Fat Mass Relationships With Physical Fitness Test Performance in Law Enforcement Recruits Before Academy

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Robert G. Lockie ◽  
Blake N. Carlock ◽  
Tomas J. Ruvalcaba ◽  
Joseph M. Dulla ◽  
Robin M. Orr ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Law Enforcement ◽  
Physical Fitness ◽  
Muscle Mass ◽  
Fat Mass ◽  
Test Performance ◽  
Skeletal Muscle Mass ◽  
Physical Fitness Test ◽  
Fitness Test
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