A haplotype of three SNPs in FTO had a strong association with body composition and BMI in Iranian male adolescents

Introduction: To investigate the effects of a multiprofessional approach on anthropometric parameters and body composition and the level of food processing in adolescents. Methods: Twelve overweight/obese male adolescents between 13-17 years old participated in a series of 12-week multiprofessional interventioms led by physical education, nutrition and psychology professionals. The participants were assessed before the intervention as well as at 6 and 12 weeks into it. Anthropometric assessments were performed, including body weight, stature and body mass index; body composition, with fat mass (FM), body fat (%BF), skeletal muscle mass (SMM) and resting metabolic rate (RMR) and by filling in a three-day food record, in order to calculate the ingested foods, by the level of processing of the food: fresh, minimally processed, processed and ultra-processed. Results: No differences were observed for the anthropometric parameters performed at different stages (p>0.05). Reductions for FM and %BF and increases in SMM and RMR (p<0.05) were identified, all after 12-week of the intervention. There was an increase in the consumption of natural foods/g, and an increase in the caloric consumption of processed foods/kcal, after 12-week of interventions (p<0.05). Conclusion: The model resulted in decreases in FM and %BF, an increase in SMM, RMR, natural foods/g and processed foods/kcal.

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Comparison of Estimates of Resting Energy Expenditure Equations in Haemodialysis Patients

The International Journal of Artificial Organs ◽

10.5301/ijao.5000575 ◽

2017 ◽

Vol 40 (3) ◽

pp. 96-101 ◽

Cited By ~ 4

Author(s):

Rachel Hung ◽

Sivakumar Sridharan ◽

Ken Farrington ◽

Andrew Davenport

Keyword(s):

Body Composition ◽

Energy Expenditure ◽

Muscle Mass ◽

Strong Association ◽

Resting Energy Expenditure ◽

Tissue Mass ◽

Waste Products ◽

Co Morbidity ◽

Patient Reported ◽

Resting Energy

Purpose Waste products of metabolism accumulate in patients with chronic kidney disease, and require clearance by haemodialysis (HD). We wished to determine whether there was an association between resting energy expenditure (REE) and total energy expenditure (TEE) in HD patients and body composition. Subjects/Methods We determined REE by recently validated equations (CKD equation) and compared REE with that estimated by standard equations for REE, and TEE calculated from patient reported physical activity, in HD patients with corresponding body composition measured by dual energy X-ray absorptiometry (DEXA) scanning. Results We studied 107 patients, 69 male (64.5%), mean age 62.7 ± 15.1 years. The CKD equation REE was 72.5 ± 13.3 watts (W) and TEE 83.2 ± 9.7 W There was a strong association between REE with body surface area (BSA) (r2 = 0.80), total soft lean and fat lean tissue mass (r2 = 0.69), body mass index (BMI) (r2 = 0.34), all p<0.001. REE estimated using the modified Harris Benedict, Mifflin St. Jeor, Katch McArdle, Bernstein and Robertson equations underestimated REE compared to the CKD equation. TEE was more strongly associated with BSA (r2 = 0.51), appendicular muscle mass (r2 = 0.42), than BMI (r2 = 0.15) all p<0.001. TEE was greater for those employed (104.9 ± 10.7 vs. 83.1 ± 12.3 W, p<0.001), and with no co-morbidity (88.7 ± 14.8 vs. 82.7 ± 12.3 W, P<0.05). Conclusions Standard equations underestimate REE in HD patients compared to the CKD equation. TEE was greater in those with more skeletal muscle mass, in those who were employed and in those with the least comorbidity. More metabolically active patients may well require greater dialytic clearances.

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Effect of 12 weeks Taekwondo Poomsae training on body composition, health-related fitness and dietary intake in male adolescents

TAEKWONDO JOURNAL OF KUKKIWON ◽

10.24881/tjk.2013.4.1.61 ◽

2013 ◽

Vol 4 (1) ◽

pp. 61-76

Author(s):

Jongkook Song ◽

강효정 ◽

정현철 ◽

김현배

Keyword(s):

Body Composition ◽

Dietary Intake ◽

Male Adolescents ◽

Health Related ◽

Health Related Fitness

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The Association of Dietary Energy Density and Body Composition Components in a Sample of Iranian Adults

Frontiers in Nutrition ◽

10.3389/fnut.2021.751148 ◽

2021 ◽

Vol 8 ◽

Author(s):

Elham Bazshahi ◽

Sanaz Pourreza ◽

Hossein Imani ◽

Leila Azadbakht ◽

Mojdeh Ebaditabar ◽

...

Keyword(s):

Body Composition ◽

Fatty Acid ◽

Energy Density ◽

Abdominal Obesity ◽

Strong Association ◽

Fat Free Mass ◽

Dietary Quality ◽

Dietary Energy ◽

Anthropometric Indices ◽

Dietary Energy Density

Background: We aimed to investigate the association between the energy density (ED) of diet and body composition components in Iranian adults.Methods: We conducted a cross-sectional study on 267 adults in Tehran. We obtained ED (kcal/g) using the two most common methods: ED1, ED from foods only with the exclusion of all beverages and ED2, from foods and all beverages. Body composition was measured using a multifrequency bio-impedance analysis. To find a strong association, we used both the linear and binary regression analysis in the three adjusted models.Results: The mean of ED1 and ED2 was 1.34 ± 0.23 and 0.89 ± 0.20 kcal/g, respectively. Increasing the ED of diet in both methods was associated with a high intake of dietary fat, of saturated fatty acid (SFA), of monounsaturated fatty acid (MUFA), of polyunsaturated fatty acid (PUFA), of oleic and linoleic acids, accompanied by a low intake of fruits, vegetables, and some vitamins and minerals. There was a significant positive relationship between fat-free mass index (FFMI) and ED1 (β = 4.44, p = 0.02). However, we found no significant association between the consumption of ED1 and fat mass index (FMI) (0.28; 95% CI 0.08, 0.98; p = 0.07), and abdominal obesity (0.91; 95% CI 0.43, 1.94; p = 0.82). Also, ED2 had no association with FMI (0.86; 95% CI 0.26, 2.80; p = 0.81) and abdominal obesity (0.78; 95% CI 0.35, 1.72; p = 0.54). No significant associations were found between ED and other anthropometric indices and body composition components after considering the confounders.Conclusion: This study supports the positive association between ED and poor dietary quality. However, our findings did not show significant associations of dietary energy density (DED) with anthropometric indices and body composition components. Further well-designed studies are required to investigate the exact link between DED and body composition.

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Development and Cross-Validation of a Simple Model to Estimate Percent Body Fat in Persons with Multiple Sclerosis

International Journal of MS Care ◽

10.7224/1537-2073.2020-034 ◽

2021 ◽

Author(s):

Fabio Bertapelli ◽

Stephanie L. Silveira ◽

Stamatis Agiovlasitis ◽

Robert W. Motl

Keyword(s):

Multiple Sclerosis ◽

Body Composition ◽

Body Fat ◽

Health Care Providers ◽

Cross Validation ◽

Strong Association ◽

Absolute Error ◽

Percent Body Fat ◽

Care Providers ◽

Separate Sample

Abstract Background: Persons with multiple sclerosis (MS) have higher body composition variability compared with the general population. Monitoring body composition requires accurate methods for estimating percent body fat (%BF). We developed and cross-validated an equation for estimating %BF from body mass index (BMI) and sex in persons with MS. Methods: Seventy-seven adults with MS represented the sample for the equation development. A separate sample of 33 adults with MS permitted the equation cross-validation. Dual-energy xray absorptiometry (DXA) provided the criterion %BF. Results: The model including BMI and sex (mean ± SD age: women, 49.2 ± 8.8 years; men, 48.6 ± 9.8 years) had high predictive ability for estimating %BF (P < .001, R2 = 0.77, standard error of estimate = 4.06%). Age, MS type, Patient-Determined Disease Steps score, and MS duration did not improve the model. The equation was %BF = 3.168 + (0.895 × BMI) – (10.191 × sex); sex, 0 = woman; 1 = man. The equation was cross-validated in the separate sample (age: women, 48.4 ± 9.4 years; men, 43.8 ± 15.4 years) based on high accuracy as indicated by strong association (r = 0.89, P < .001), nonsignificant difference (mean: 0.2%, P > .05), small absolute error (mean: 2.7%), root mean square error (3.5%), and small differences and no bias in Bland-Altman analysis (mean difference: 0.2%, 95% CI: −6.98 to 6.55, rs = −0.07, P = .702) between DXA-determined and equation-estimated %BF. Conclusions: Health care providers can use this developed and cross-validated equation for estimating adiposity in persons with MS when DXA is unavailable.

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Comparação entre dois modelos de treinamento sobre o gasto energético de repouso e a composição corporal de adolescentes com obesidade

Brazilian Journal of Kinanthropometry and Human Performance ◽

10.5007/1980-0037.2016v18n3p268 ◽

2016 ◽

Vol 18 (3) ◽

pp. 268

Author(s):

Bruno Affonso Parenti de Oliveira ◽

Fabrício Eduardo Rossi ◽

Camila Buonani ◽

Tiego Aparecido Diniz ◽

Paula Alves Monteiro ◽

...

Keyword(s):

Body Composition ◽

Strength Training ◽

Lean Body Mass ◽

Body Mass ◽

Fat Mass ◽

Resting Energy Expenditure ◽

Functional Training ◽

Obese Adolescents ◽

Training Models ◽

Male Adolescents

DOI: http://dx.doi.org/10.5007/1980-0037.2016v18n3p268 Different types of physical activity programs have been used with the purpose of improving body composition and increasing resting energy expenditure (REE) in obese adolescents. The aim of the present study was to compare the effects of two training models on REE and body composition in this population. The study included 20 obese male adolescents, who were randomly assigned to follow two training models: strength training (n=8, age=13,4±1.0) and functional training (n=12, age= 13.0±1.1). Body composition variables were estimated by dual-energy X-ray absorptiometry. REE was assessed by indirect calorimetry using the QUARK-PFT equipment (COSMED, Rome, Italy). The training protocol consisted of 30 minutes of aerobic training followed by 30 minutes of strength training (ST) or functional training (FT), both with a duration of 20 weeks. There were no significant differences between the two training models with regard to body composition (fat mass, FT= -7.6±5.5% vs. ST= -8.9±6.2%; p=0.620), (lean body mass, FT= 9.0±5.3% vs. ST= 6.8±6.7%; p=0.431) and to REE (FT= 19.6±15.3% vs. ST= 10.7±24.5%; p=0.331). Moreover, lean body mass (p=0.01) and fat mass (0.01) had an influence on REE. No differences were observed between the two training models, but both were effective in improving body composition and increasing REE in obese adolescents. Furthermore, the present study showed the importance of systematic physical training, since lean body mass and fat mass contributed to the increase in REE after the training period.

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