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Physical activity and inactivity trajectories associated with body composition in pre-schoolers.
Meredith-Jones, K, Haszard, J, Moir, C, Heath, AL, Lawrence, J, Galland, B, Taylor, B, Gray, A, Sayers, R, Taylor, R
International journal of obesity (2005). 2018;(9):1621-1630
Abstract
BACKGROUND/OBJECTIVES Early childhood is characterised by rapid development and is a critical period for the establishment of activity behaviours. We aim to examine how physical activity (PA) and sedentary behaviour (SB) track during the first 5 years of life, and to investigate associations between trajectories and body composition at 5 years of age. SUBJECTS/METHODS A total of 438 participants (50% male) wore an Actical accelerometer for 5 days at at least two of 1, 2, 3.5 and 5 years of age. Spearman correlation coefficients examined PA tracking from age 1 to 5 and trajectories of PA and SB were estimated using discrete mixture modelling. Regression models tested associations between both PA and SB trajectories and body composition measures. RESULTS Tracking coefficients for PA ranged from r = 0.31-0.51 across the ages, with similar tracking observed for sedentary behaviour (r = 0.21-0.39). Four distinct trajectory patterns were identified separately for PA and SB: consistently low, consistently high, increasing and decreasing. BMI and waist circumference were not significantly associated with PA trajectories, but those in the consistently high activity group had significantly lower % body fat (95% CI) at age 5 (14.3%; 13.5, 15.2) than those in the consistently low (16.8%; 15.6, 18.2) or increasing (15.7%; 14.7, 16.7) groups (P = 0.017). Sedentary behaviour trajectories were not associated with any of the anthropometric measures at age 5 (P > 0.05). CONCLUSIONS Physical activity and sedentary behaviour tracking is broadly similar from infancy to early childhood. Children with consistently higher levels of physical activity have reduced body fat at 5 years of age, although differences are relatively small.
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Body composition and insulin resistance in children.
Maffeis, C, Morandi, A
European journal of clinical nutrition. 2018;(9):1239-1245
Abstract
Insulin resistance is a condition of gluco-metabolic sufferance that may hesitate in the further development of type 2 diabetes and cardiovascular disease. The development of insulin resistance is mostly associated with the accumulation of excessive fat in the body. The epidemic impact of obesity in the youngest promoted an increase of the prevalence of insulin resistance also in children and adolescents. Increased fat accumulation in the peri-visceral area of the abdomen, occurring preferably at and after puberty, and in the liver, as non-alcoholic fatty liver disease, plays a role in the process. After puberty, males are at higher risk than females to develop insulin resistance. Also ethnicity contributes to sensitivity of children to develop insulin resistance, where Hispanics, South-Asians, and Indians are at higher risk than Whites and Blacks.In spite of the research progress in the field, several questions on the relationship between body composition and insulin resistance are still unanswered. Multiomics approach, combined with nutrition as well as imaging techniques might contribute to unravel the role of body composition on insulin resistance.
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Protein intake distribution pattern does not affect anabolic response, lean body mass, muscle strength or function over 8 weeks in older adults: A randomized-controlled trial.
Kim, IY, Schutzler, S, Schrader, AM, Spencer, HJ, Azhar, G, Wolfe, RR, Ferrando, AA
Clinical nutrition (Edinburgh, Scotland). 2018;(2):488-493
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Abstract
BACKGROUND & AIMS In our recent acute metabolic study, we found no differences in the anabolic response to differing patterns of dietary protein intake. To confirm this in a chronic study, we investigated the effects of protein distribution pattern on functional outcomes and protein kinetics in older adults over 8 weeks. METHODS To determine chronic effects of protein intake pattern at 1.1 g protein/kg/day in mixed meals on lean body mass (LBM), functional outcomes, whole body protein kinetics and muscle protein fractional synthesis rate (MPS) over 8-week respective dietary intervention, fourteen older subjects were randomly divided into either EVEN or UNVEN group. The UNEVEN group (n = 7) consumed the majority of dietary protein with dinner (UNEVEN, 15/20/65%; breakfast, lunch, dinner), while the EVEN group (n = 7) consumed dietary protein evenly throughout the day (EVEN: 33/33/33%). RESULTS We found no significant differences in LBM, muscle strength, and other functional outcomes between EVEN and UNEVEN before and after 8-week intervention. Consistent with these functional outcomes, we did not find significant differences in the 20-h integrated whole body protein kinetics [net protein balance (NB), protein synthesis (PS), and breakdown (PB)] above basal states and MPS between EVEN and UNEVEN intake patterns. CONCLUSIONS We conclude that over an 8-week intervention period, the protein intake distribution pattern in mixed meals does not play an important role in determining anabolic response, muscle strength, or functional outcomes. This trial is registered at https://ClinicalTrials.gov as NCT02787889.
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A haplotype of three SNPs in FTO had a strong association with body composition and BMI in Iranian male adolescents.
Kalantari, N, Keshavarz Mohammadi, N, Izadi, P, Doaei, S, Gholamalizadeh, M, Eini-Zinab, H, Salonurmi, T, Rafieifar, S, Janipoor, R, Azizi Tabesh, G
PloS one. 2018;(4):e0195589
Abstract
BACKGROUND Single-nucleotide polymorphisms (SNPs), which are located in the first intron of the FTO gene, are reported to be associated with body weight and the body mass index (BMI). However, their effects on anthropometric measurements in adolescents are poorly understood. OBJECTIVE This study aimed to investigate the association of three adjacent polymorphisms (rs9930506, rs9930501, & rs9932754) in the FTO gene with anthropometric indices in Iranian adolescent males. DESIGN The participants comprised a total of 237 adolescent males who were recruited randomly from two high schools in Tehran, Iran. The DNA samples were genotyped for the FTO gene polymorphisms by DNA sequencing. BMI, body fat percentage (BF%), and body muscle percentage (BM%) were determined using a validated bioelectrical impedance analysis scale. The association of the FTO polymorphisms with weight, height, BMI, BF%, and BM% was investigated. RESULTS A haplotype of rs9930506, rs9930501, and rs9932754 (GGT) in the first intron of the FTO with complete linkage disequilibrium (LD) was found to be significantly associated with higher weight (OR = 1.32), BMI (OR = 5.36) and BF% (OR = 1.46), and lower BM% (OR = 3.59) (all P<0.001). None of the students with GGC genotypes were underweight, while all of the students with AAT genotypes had high muscle mass. CONCLUSIONS A haplotype in the first intron of the FTO gene had a strong association with obesity indices in Iranian adolescent males. The FTO gene polymorphisms might have greater effects on anthropometric indices than what was previously imagined. Moreover, we suggested that the FTO gene exerted their effects on anthropometric measurements through haplotypes (and not single SNPs).
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Whey Protein Supplementation Improves Body Composition and Cardiovascular Risk Factors in Overweight and Obese Patients: A Systematic Review and Meta-Analysis.
Wirunsawanya, K, Upala, S, Jaruvongvanich, V, Sanguankeo, A
Journal of the American College of Nutrition. 2018;(1):60-70
Abstract
BACKGROUND Previous literature shows possible benefits of whey protein supplementation in promoting weight loss. However, most studies do not have enough power to show beneficial effects on body composition and cardiovascular disease (CVD) risk factors. This meta-analysis evaluated effects of whey protein in individuals who are overweight and obese. METHODS We comprehensively searched the databases of MEDLINE, Embase, and Cochrane databases. The inclusion criteria were published randomized control trials (RCTs) comparing whey protein supplementation to placebo or controls in individuals who are overweight or obese. The primary outcome was the differences in the change in body composition (body weight, waist circumference, total fat mass, body lean mass). We also examined the changes in CVD risk factors as secondary outcomes. We calculated pooled mean difference (MD) with 95% confidence intervals (CIs) using a random effects model. RESULTS Nine RCTs were included in the meta-analysis. There was a significant reduction of body weight (MD = 0.56, 95% CI: 0.30-0.81), lean mass (MD = 0.77, 95% CI: 0.59-0.96), and fat mass (MD = 1.12, 95% CI: 0.77-1.47) favoring the whey protein group. There were improvements in multiple CVD risk factors including levels of systolic blood pressure, diastolic blood pressure, glucose, high-density lipoprotein, and total cholesterol (all p values <0.05). CONCLUSIONS Whey protein supplementation seems to improve body weight, total fat mass, and some CVD risk factors in overweight and obese patients. Further studies regarding optimal dosage and duration of whey protein supplementation would be helpful to assess potential favorable effects in individuals who are overweight or obese.
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Exercise, energy balance and body composition.
Westerterp, KR
European journal of clinical nutrition. 2018;(9):1246-1250
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Activity-induced energy expenditure, as determined by the activity pattern including exercise, is the most variable component of daily energy expenditure. Here, the focus is on effects of exercise training on energy balance and body composition in subjects with a sedentary or light-active lifestyle. Then, exercise training induces an energy imbalance consistently lower than prescribed energy expenditure from exercise. Additionally, individual responses are highly variable and decrease in time. Combining the results from 23 exercise training studies in normal-weight, overweight, and obese subjects, varying in duration from 2 to 64 weeks, showed an average initial energy imbalance of about 2 MJ/day with an exponential decline to nearly zero after about 1 year. A compensatory increase in energy intake is the most likely explanation for the lower than expected effect of exercise on energy balance. Overall, exercise training results in a healthier body composition as reflected by a reduction of body fat, especially in overweight and obese subjects, with little or no long-term effect on body weight.
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7.
Body composition techniques.
Kuriyan, R
The Indian journal of medical research. 2018;(5):648-658
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Abstract
Body composition is known to be associated with several diseases, such as cardiovascular disease, diabetes, cancers, osteoporosis and osteoarthritis. Body composition measurements are useful in assessing the effectiveness of nutritional interventions and monitoring the changes associated with growth and disease conditions. Changes in body composition occur when there is a mismatch between nutrient intake and requirement. Altered body composition is observed in conditions such as wasting and stunting when the nutritional intake may be inadequate. Overnutrition on the other hand leads to obesity. Many techniques are available for body composition assessment, which range from simple indirect measures to more sophisticated direct volumetric measurements. Some of the methods that are used today include anthropometry, tracer dilution, densitometry, dual-energy X-ray absorptiometry, air displacement plethysmography and bioelectrical impedance analysis. The methods vary in their precision and accuracy. Imaging techniques such as nuclear magnetic resonance imaging and computed tomography have become powerful tools due to their ability of visualizing and quantifying tissues, organs, or constituents such as muscle and adipose tissue. However, these methods are still considered to be research tools due to their cost and complexity of use. This review was aimed to describe the commonly used methods for body composition analysis and provide a brief introduction on the latest techniques available.
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Skeletal Status, Body Composition, and Glycaemic Control in Adolescents with Type 1 Diabetes Mellitus.
Wierzbicka, E, Swiercz, A, Pludowski, P, Jaworski, M, Szalecki, M
Journal of diabetes research. 2018;:8121634
Abstract
BACKGROUND Disturbed bone turnover, osteoporosis, and increased fracture risk are late complications of insulin-dependent diabetes mellitus. Little is known about how far and to what extent can glycaemic control of type 1 diabetes mellitus (T1DM) prevent disturbances of bone health and body composition during the growth and maturation period. OBJECTIVE The aim of this cross-sectional study was to compare the skeletal status outcomes and body composition between patients stratified by glycaemic control (1-year HbA1c levels) into well- and poorly-controlled subgroups in a population of T1DM adolescents, that is, <8% and ≥8%, respectively. SUBJECTS AND METHODS Skeletal status and body composition were evaluated in 60 adolescents with T1DM (53.3% female; mean aged: 15.1 ± 1.9 years; disease duration: 5.1 ± 3.9 years) using dual energy X-ray absorptiometry (GE Prodigy). The results were compared to age- and sex-adjusted reference values for healthy controls. The calculated Z-scores of different metabolic control subgroups were compared. Clinical data was also assessed. RESULTS As evidenced by Z-scores, patients with T1DM revealed a significantly lower TBBMD (total body bone mineral density), TBBMC (total body bone mineral content), S24BMD (bone mineral density of lumbar spine L2-L4), and TBBMC/LBM ratio (total body bone mineral content/lean body mass), but higher FM (fat mass) and FM/LBM ratio (fat mass/lean body mass) values compared to an age- and sex-adjusted general population. The subset (43.3% patients) with poor metabolic control (HbA1c ≥ 8%) had lower TBBMD, TBBMC, and LBM compared to respective values noted in the HbA1c < 8% group, after adjusting for confounders (mean Z-scores: -0.74 vs. -0.10, p = 0.037; -0.67 vs. +0.01, p = 0.026; and -0.45 vs. +0.20, p = 0.043, respectively). Additionally, we found a significant difference in the TBBMC/LBM ratio (relative bone strength index) between the metabolic groups (-0.58 vs. -0.07; p = 0.021). A statistically significant negative correlation between 1-year HbA1c levels and Z-scores of TBBMD, TBBMC, and LBM was also observed. In patients with longer disease duration, a significant negative correlation was established only for TBBMD, after adjusting for confounders. The relationships between densitometric values and age at onset of T1DM and sex were not significant and showed no relation to any of the analysed parameters of the disease course. CONCLUSION Findings from this study of adolescents with T1DM indicate that the lower Z-scores of TBBMD, TBBMC, and LBM as well as the TBBMC/LBM ratio are associated with increased HbA1c levels. Their recognition can be crucial in directing strategies to optimise metabolic control and improve diabetes management for bone development and maintenance in adolescents with T1DM.
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The impact of rate of weight loss on body composition and compensatory mechanisms during weight reduction: A randomized control trial.
Coutinho, SR, With, E, Rehfeld, JF, Kulseng, B, Truby, H, Martins, C
Clinical nutrition (Edinburgh, Scotland). 2018;(4):1154-1162
Abstract
BACKGROUND & AIMS Rapid weight loss (WL) has been associated with a larger loss of fat free mass and a disproportional reduction in resting metabolic rate (RMR), but the evidence is inconclusive. We aimed to evaluate the impact of WL rate on body composition and compensatory mechanisms activated with WL (reduced RMR, increased exercise efficiency (ExEff) and appetite), both during negative and neutral energy balance (EB). METHODS Thirty-five participants with obesity were randomized to lose a similar weight rapidly (4 weeks) or gradually (8 weeks), and afterwards to maintain it (4 weeks). Body weight and composition, RMR, ExEff (10, 25 and 50 W), appetite feelings and appetite-regulating hormones (active ghrelin, cholecystokinin, total peptide YY (PYY), active glucagon-like peptide-1 and insulin), in fasting and every 30 min up to 2.5 h, were measured at baseline and after each phase. RESULTS Changes in body weight (≈9%) and composition were similar in both groups. With WL, RMR decreased and ExEff at 10 W increased significantly in the rapid WL group only. However, fasting hunger increased significantly with gradual WL only, while fasting and postprandial prospective food consumption, and postprandial hunger decreased (and postprandial fullness increased) significantly with rapid WL only. Basal total PYY, and basal and postprandial insulin decreased significantly, and similarly in both groups. After weight stabilization and no ketosis no differences between groups were found. CONCLUSIONS Despite differences while under negative EB, WL rate does not seem to have a significant impact on body composition or on compensatory mechanisms, once EB is reestablished. CLINICAL TRIAL REGISTRATION NUMBER NCT01912742 (the study was registered in clinicaltrial.gov).
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Baseline characteristics of participants in the VITamin D and OmegA-3 TriaL (VITAL): Effects on Bone Structure and Architecture.
Donlon, CM, LeBoff, MS, Chou, SH, Cook, NR, Copeland, T, Buring, JE, Bubes, V, Kotler, G, Manson, JE
Contemporary clinical trials. 2018;:56-67
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Abstract
UNLABELLED Vitamin D supplements are often used to benefit skeletal health, although data on effects of daily high-dose vitamin D alone on bone density and structure are lacking. The ongoing VITamin D and OmegA-3 TriaL (VITAL) is a double-blind, randomized, placebo-controlled trial testing effects of high-dose supplemental vitamin D3 (cholecalciferol; 2000 IU/day) and/or omega-3 fatty acids (FAs; 1 g/day) for the primary prevention of cancer and cardiovascular disease. The study has a mean treatment period of 5 years among 25,874 U.S. men ≥50 years and women ≥55 years old from all 50 states. The ancillary study, VITAL Effects on Bone Structure and Architecture, is testing effects of vitamin D3 and/or omega-3 FAs on musculoskeletal outcomes and body composition in a subcohort of 771 participants. At in-person visits at the Harvard Catalyst Clinical and Translational Science Center (CTSC), participants completed bone density/architecture, body composition, and physical performance assessments at baseline and two-year follow-up. Baseline characteristics were evenly distributed among treatment groups, suggesting that any uninvestigated confounders will be evenly distributed; sex differences were also analyzed. Future analyses of the two-year follow-up visits will elucidate whether daily high-dose, supplemental vitamin D3 and/or omega-3 FAs improve musculoskeletal outcomes, helping to advance clinical and public health recommendations. CLINICAL TRIAL REGISTRATION NUMBER NCT01747447.