Body composition and metabolic syndrome in patients with type 1 diabetes

BACKGROUND In recent years,the prevalence of obesity and metabolic syndrome in type 1 diabetes(T1DM)patients has gradually increased.Insulin resistance in T1DM deserves attention.It is necessary to clarify the relationship between body composition,metabolic syndrome and insulin resistance in T1DM to guide clinical treatment and intervention.AIM To assess body composition(BC)in T1DM patients and evaluate the relationship between BC,metabolic syndrome(MS),and insulin resistance in these indi-viduals.METHODS A total of 101 subjects with T1DM,aged 10 years or older,and with a disease duration of over 1 year were included.Bioelectrical impedance analysis using the Tsinghua-Tongfang BC Analyzer BCA-1B was employed to measure various BC parameters.Clinical and laboratory data were collected,and insulin resistance was calculated using the estimated glucose disposal rate(eGDR).RESULTS MS was diagnosed in 16/101 patients(15.84%),overweight in 16/101 patients(15.84%),obesity in 4/101(3.96%),hypertension in 34/101(33.66%%)and dyslip-idemia in 16/101 patients(15.84%).Visceral fat index(VFI)and trunk fat mass were significantly and negatively correlated with eGDR(both P<0.001).Female patients exhibited higher body fat percentage and visceral fat ratio compared to male patients.Binary logistic regression analysis revealed that significant factors for MS included eGDR[P=0.017,odds ratio(OR)=0.109],VFI(P=0.030,OR=3.529),and a family history of diabetes(P=0.004,OR=0.228).Significant factors for hypertension included eGDR(P<0.001,OR=0.488)and skeletal muscle mass(P=0.003,OR=1.111).Significant factors for dyslipidemia included trunk fat mass(P=0.033,OR=1.202)and eGDR(P=0.037,OR=0.708).CONCLUSION Visceral fat was found to be a superior predictor of MS compared to conventional measures such as body mass index and waist-to-hip ratio in Chinese individuals with T1DM.BC analysis,specifically identifying visceral fat(trunk fat),may play an important role in identifying the increased risk of MS in non-obese patients with T1DM.

Influence of ear tags on the results of body composition analysis in mice

Background:The aim of this study was to investigate the influence of marking meth-ods on the outcomes of body composition analysis and provide guidance for the se-lection of marking methods in mouse body composition analysis.Methods:Male C57BL/6J mice aged 6 weeks were randomly assigned for pre-and post-ear tagging measurements.The body composition of the mice was measured using a small animal body composition analyzer,which provided measurements of the mass of fat,lean,and free fluid.Then,the mass of fat,lean and free fluid to body weight ratio was gained.Further data analysis was conducted to obtain the range and coeffi-cient of variation in body composition measurements for each mouse.The distribution of fat and lean tissue in the mice was also analyzed by comparing the fat-to-lean ratio.Results:(1)The mass of all body composition components in the ear tagging group was significantly lower than that in the control group.(2)There was a significant in-crease in the range and coefficient of variation of body composition measurements between the ear tagging group and the control group.(3)The fat-to-lean ratio in the ear tagging group was significantly lower than that in the control group.Conclusions:Ear tagging significantly lowered the results of body composition analy-sis in mice and higher the results of measurement error.Therefore,ear tagging should be avoided as much as possible when conducting body composition analysis experi-ments in mice.

Automated body composition analysis system based on chest CT for evaluating content of muscle and adipose

Objective To establish a body composition analysis system based on chest CT,and to observe its value for evaluating content of chest muscle and adipose.Methods T7—T8 layer CT images of 108 pneumonia patients were collected(segmented dataset),and chest CT data of 984 patients were screened from the COVID 19-CT dataset(10 cases were randomly selected as whole test dataset,the remaining 974 cases were selected as layer selection dataset).T7—T8 layer was classified based on convolutional neural network(CNN)derived networks,including ResNet,ResNeXt,MobileNet,ShuffleNet,DenseNet,EfficientNet and ConvNeXt,then the accuracy,precision,recall and specificity were used to evaluate the performance of layer selection dataset.The skeletal muscle(SM),subcutaneous adipose tissue(SAT),intermuscular adipose tissue(IMAT)and visceral adipose tissue(VAT)were segmented using classical fully CNN(FCN)derived network,including FCN,SegNet,UNet,Attention UNet,UNET++,nnUNet,UNeXt and CMUNeXt,then Dice similarity coefficient(DSC),intersection over union(IoU)and 95 Hausdorff distance(HD)were used to evaluate the performance of segmented dataset.The automatic body composition analysis system was constructed based on optimal layer selection network and segmentation network,the mean absolute error(MAE),root mean squared error(RMSE)and standard deviation(SD)of MAE were used to evaluate the performance of automatic system for testing the whole test dataset.Results The accuracy,precision,recall and specificity of DenseNet network for automatically classifying T7—T8 layer from chest CT images was 95.06%,84.83%,92.27%and 95.78%,respectively,which were all higher than those of the other layer selection networks.In segmentation of SM,SAT,IMAT and overall,DSC and IoU of UNet++network were all higher,while 95HD of UNet++network were all lower than those of the other segmentation networks.Using DenseNet as the layer selection network and UNet++as the segmentation network,MAE of the automatic body composition analysis system for predicting SM,SAT,IMAT,VAT and MAE was 27.09,6.95,6.65 and 3.35 cm 2,respectively.Conclusion The body composition analysis system based on chest CT could be used to assess content of chest muscle and adipose.Among them,the UNet++network had better segmentation performance in adipose tissue than SM.

The Role of Body Composition Analyzer in the Preoperative Assessment of Breast Cancer Patients

Background: The segmental multi-frequency bioelectrical impedance analysis (SMF-BIA) is a useful method for evaluating physical health and nutritional status in various clinical settings. But less is known about its role in the preoperative assessment of breast cancer patients. Herein, we try to monitor the changes in body composition of preoperative patients by SMF-BIA and figure out its association with clinical features. Methods: The changes in body composition were monitored by SMF-BIA in 563 female patients with breast cancer. Monitor body moisture and collect relevant data on the day before surgery as a prospective study. Retrospective analysis will be conducted based on preoperative data and pathological results after lymph node resection, Spearman’s correlation coefficients were calculated to investigate the correlation among parameters. Results: We found that the body water, extracellular water ratio, and bioelectrical impedance of the affected upper limbs of patients with different tumor stages or different numbers of lymph node metastases were significantly different from those of their healthy upper limbs (P P P P P Conclusion: SMF-BIA can help monitor the changes in body composition of breast cancer patients and provide detailed information for making a personalized treatment plan and individual nursing schedule. However, the value of SMF-BIA in preoperative assessment still needs to be validated in large prospective clinical trials.

Exploring overweight and obesity beyond body mass index:A body composition analysis in people with and without patellofemoral pain

Background:We compared body mass index(BMI),body fat,and skeletal muscle mass between(1) a mixed-sex nonathletic cohort of people with patellofemoral pain(PFP) and pain-free people,and(2) a nonathletic cohort of people with PFP and pain-free people subgrouped by sex(i.e.,men and women with PFP vs.pain-free men and women).Methods:This cross-sectional study included 114 people with PFP(71 women,43 men) and 54 pain-free controls(32 women,22 men).All participants attended a single testing session to assess body composition measures,which included BMI,percentage of body fat(%BFBioimpedance),and skeletal muscle mass(both assessed by bioelectrical impedance analysis),and percentage of body fat(%BFskinfoid)(assessed by skinfold caliper analysis).A one-way univariate analysis of covariance(age and physical activity levels as covariates) was used to compare body composition measures between groups(i.e.,PFP vs.pain-free group;women with PFP vs.pain-free women;men with PFP vs.pain-free men).Results:Women with PFP presented significantly higher BMI,%BFBiompedance,and %BFSkinfold,and lower skeletal muscle mass compared to pain-free women(p≤0.04;effect size:-0.47 to 0.85).Men with PFP and men and women combined had no differences in BMI,%BFBioimpedance,%BFSkinfold,and skeletal muscle mass compared to their respective pain-free groups(p> 0.05).Conclusion:Our findings indicate that BMI and body composition measures should be considered as part of the evaluation and management of people with PFP,especially in women,who have demonstrated higher BMI and body fat and lower skeletal muscle mass compared to pain-free controls.Future studies should not assess body composition measures in a mixed-sex population without distinguishing men participants from women participants.

Association of Breastfeeding Duration with Body Composition in Children Aged 3–5 Years

Objective This study aimed to assess the relationship between the body composition of children aged 3–5 years and breastfeeding status and duration.Methods The study was conducted using data from the National Nutrition and Health Systematic Survey for children 0–17 years of age in China(CNHSC),a nationwide cross-sectional study.Breastfeeding information and potential confounders were collected using standardized questionnaires administered through face-to-face interviews.The body composition of preschool children was measured using bioelectrical impedance analysis.A multivariate linear regression model was used to assess the relationship between breastfeeding duration and body composition after adjusting for potential confounders.Results In total,2,008 participants were included in the study.Of these,89.2%were ever breastfed and the median duration of breastfeeding was 12 months(IQR 7–15 months).Among children aged 3 years,the height-for-age Z-score(HAZ)for the ever breastfed group was lower than that for never breastfed group(0.12 vs.0.42,P=0.043).In addition,the weight-for-age Z-score(WAZ)of the ever breastfed group was lower than that of the never breastfed group(0.31 vs.0.65,P=0.026),and the WAZ was lower in children aged 4 years who breastfed between 12 and 23 months than in those who never breastfed.Compared to the formula-fed children,the fat-free mass of breastfed infants was higher for children aged 3 years(12.84 kg vs.12.52 kg,P=0.015)and lower for those aged 4 years(14.31 kg vs.14.64 kg,P=0.048),but no difference was detected for children aged 5 years(16.40 kg vs.16.42 kg,P=0.910)after adjusting for potential confounders.No significant difference was detected in the weight-for-height Z-score(WHZ),body mass index(BMI)-for-age Z-score(BAZ),fat-free mass index,and body fat indicators in the ever breastfed and never breastfed groups and among various breastfeeding duration groups for children aged 3–5 years.Conclusion No obvious associations were detected between breastfeeding duration,BMI,and fat mass indicators.Future prospective studies should explore the relationship between breastfeeding status and fat-free mass.

The Association of Maternal Body Composition and Dietary Intake with the Risk of Gestational Diabetes Mellitus during the Second Trimester in a Cohort of Chinese Pregnant Women

Objective To investigate the association of maternal body composition and dietary intake with the risk of gestational diabetes mellitus （GDM）. Methods A total 154 GDM subjects and 981 controls were enrolled in a prospective cohort study in 11 hospitals from May 20, 2012 to December 31, 2013. Bioelectrical impedance analysis and dietary surveys were used to determine body composition and to evaluate the intake of nutrients in subjects at 21-24 weeks＇ gestation （WG）. Logistic regression analysis was applied to explore the relationships of maternal body composition and dietary intake with the risk of GDIVl morbidity. Results Age, pre-pregnant body weight （BW）, and body mass index （BMI） were associated with increased risk of GDM. Fat mass （FM）, fat mass percentage （FMP）, extracellular water （ECW）, BMI, BW, energy, protein, fat, and carbohydrates at 21-24 WG were associated with an increased risk of GDM. In contrast, fat free mass （FFM）, muscular mass （MM）, and intracellular water （ICW） were associated with a decreased risk of GDM. Conclusion Maternal body composition and dietary intake during the second trimester of pregnancy were associated with the risk of GDM morbidity.

Effects of the Dietary Probiotic Clostridium butyricum on Intestine Digestive and Metabolic Capacities, SCFA Content and Body Composition in Marsupenaeus japonicus

A 56-day feeding trial was performed to evaluate the effects of dietary probiotic Clostridium butyricum(CB) on intestine digestive and metabolic capacities, intestine short-chain fatty acids(SCFA) content and body composition of kuruma shrimp Marsupenaeus japonicus. Shrimp s were randomly allocated into 9 tanks, 30 each, and f ed with diets containing different levels of C. butyricum(1×10~9 cfug^(-1)): 0 mgg^(-1) feed(Control), 100 mgg^(-1) feed(CB-100), 200 mgg^(-1) feed(CB-200), while each level was triplicated. The results indicated that compared with the control group, the intestine pepsin(Pep) activity and 5-hydroxytryptamine(5-HT) concentration of two C. butyricum group s were both increased. Amylase(AM Y) and lipase(LPS) activities wer e only induced in CB-200 group. Alanine aminotransferase(ALT) and aspartate aminotransferase(A ST) activities of two C. butyricum group s showed no significant change. The α-amylase(AM Y) gene expression was induced in CB-200 group, and tryp sin gene expression of two C. butyricum treated group s were both induced. Intestine SCFA content and body composition analysis showed that the contents of propionic acid, butyric acid and the crude protein of two C. butyricum group s were all higher than those of control. These results revealed that C. butyricum can modulate intestine digestive and metabolic capacities, improve intestine SCFA content and body crude protein content in M. japonicus.

Influence of stocking density on growth, body composition and energy budget of Atlantic salmon Salmo salar L. in recirculating aquaculture systems

Atlantic salmon Salmo salar were reared at four stocking densities--high density D1 （final density -39 kg/m^3）, medium densities DE （-29 kg/m^3） and D3 （~19 kg/m^3）, and low density D4 （-12 kg/m^3）- for 40 days to investigate the effect of stocking density on their growth performance, body composition and energy budgets. Stocking density did not significantly affect specific growth rate in terms of weight （SGRw） but did affect specific growth rate in terms of energy （SGRe）. Stocking density significantly influenced the ration level （RLw and RLe）, feed conversion ratio （FCRw and FCRe） and apparent digestibility rate （ADR）. Ration level and FCRw tended to increase with increasing density. Fish at the highest density D~ and lowest density D4 showed lower FCRe and higher ADR than at medium densities. Stocking density significantly affected protein and energy contents of the body but did not affect its moisture, lipid, or ash contents. The expenditure of energy for metabolism in the low-density and high-density groups was lower than that in the medium-density groups. Stocking density affected energy utilization from the feces but had no effect on excretion rate. The greater energy allocation to growth at high density and low density may be attributed to reduced metabolic rate and increased apparent digestibility rate. These findings provide information that will assist selection of suitable stocking densities in the Atlantic-salmon-farming industry.

Effects of chromium nanoparticle dosage on growth,body composition,serum hormones and tissue chromium in Sprague-Dawley rats

This 6-week study was conducted to evaluate the effects of seven different levels of dietary chromium (Cr) (0,75,150,300,450,600,and 1200 ppb Cr) in the form of Cr nanoparticle (CrNano) on growth,body composition,serum hormones and tissue Cr in Sprague-Dawley (SD) rats. Seventy male SD rats (average initial body weight of (83.2±4.4) g) were randomly assigned to seven dietary treatments (n=10). At the end of the trial,body composition was assessed via dual energy X-ray absorptiometry (DEXA). All rats were then sacrificed to collect samples of blood,organs and tissues for determination of serum hormones and tissue Cr contents. The results indicated that lean body mass was significantly increased (P<0.05) due to the addition of 300 and 450 ppb Cr from CrNano. Supplementation of 150,300,450,and 600 ppb Cr decreased (P<0.05) percent body fat significantly. Average daily gain was increased (P<0.05) by addition of 75,150,and 300 ppb Cr and feed efficiency was increased (P<0.05) by supplementation of 75,300,and 450 ppb Cr. Addition of 300 and 450 ppb Cr decreased (P<0.05) the insulin level in serum greatly. Cr contents in liver and kidney were greatly increased (P<0.05) by the addition of Cr as CrNano in the dosage of from 150 ppb to 1 200 ppb. In addition,Supplementation of 300,450,and 600 ppb Cr significantly increased (P<0.05) Cr content in the hind leg muscle. These results suggest that supplemental CrNano has beneficial effects on growth performance and body composition,and increases tissue Cr concentration in selected muscles.

Effect of dietary genistein on growth performance,digestive enzyme activity,and body composition of Nile tilapia Oreochromis niloticus

An 8-week feeding experiment was performed to evaluate the effect of dietary genistein on growth performance,body composition,and digestive enzymes activity of juvenile Nile tilapia(Oreochromis niloticus).Four isonitrogenous and isoenergetic diets were formulated containing four graded supplements of genistein:0,30,300,and 3 000 μg/g.Each diet was randomly assigned in triplicate to tanks stocked with 15 juvenile tilapia(10.47±1.24 g).The results show that 30 and 300 μg/gdietary genistein had no significant effect on growth performance of Nile tilapia,but the higher level of genistein(3 000 μg/g)significantly depressed the final body weight and specific growth rate.There was no significant difference in survival rate,feed intake,feed efficiency ratio or whole body composition among all dietary treatments.An assay of digestive enzymes showed that the diet containing 3 000 μg/ggenistein decreased stomach and hepatopancreas protease activity,and amylase activity in the liver and intestine,while a dietary level of300 μg/g genistein depressed stomach protease and intestine amylase activities.However,no significant difference in stomach amylase activity was found among dietary treatments.Overall,the results of the present study indicate that a high level of dietary genistein(3 000 μg/g,or above) would significantly reduce the growth of Nile tilapia,partly because of its inhibitory effect on the activity of major digestive enzymes.Accordingly,the detrimental effects of genistein,as found in soybean products,should not be ignored when applied as an alternative ingredient source in aquaculture.

Effects of the Amplitude and Frequency of Salinity Fluctuation on the Body Composition and Energy Budget of Juvenile Tongue Sole(Cynoglossus semilaevis)

Effects of the amplitude(± 2, ± 4, ± 6, and ± 8) and frequency(2, 4, and 8 d) of salinity fluctuation on the body composition and energy budget of juvenile tongue sole(Cynoglossus semilaevis) were investigated in a 64-d experiment. Results showed that the amplitude and frequency of salinity fluctuation had significant interaction and both substantially affected the final weight and specific growth rate of juvenile tongue sole. The tongue sole exhibited better growth in treatments with moderate amplitude and frequency of salinity fluctuation(amplitude ± 4–6; frequency 4–8 d) than in other treatments and the control. In terms of energy budget, salinity fluctuation strongly affected the proportions of energy components, including those deposited for growth and lost in respiration, feces, and excretion. Moderately amplitude and frequency of salinity fluctuationg that favored the growth of tongue sole partitioned more energy for growth and less energy for metabolism than the constant and other amplitude and frequency of salinity fluctuation. Average energy budget for tongue sole at moderately fluctuating salinity was determined to be 100C(food) = 30.92G(growth) + 10.30F(feces) + 6.77U(excretion) + 52.01R(respiration). Energetic advantage at moderately fluctuating salinity, including increased energy intake, high assimilation efficiency, reduced metabolism expenditure, and more energy partitioned into growth, might account for the enhancement of tongue sole growth. Commercial farmers are recommended to rear juvenile tongue sole with moderate salinity fluctuations for better growth performance of this species.

Leisure-time physical activity,anthropometrics,and body composition as predictors of quality of life domains after spinal cord injury:an exploratory cross-sectional study

The objective of the current work was to examine the relationships between quality of life(QOL)domains in persons with spinal cord injury(SCI)and their levels of weekly leisure-time physical activity(LTPA),anthropometric variables,and body composition variables.This exploratory cross-sectional study consisted of baseline data collected as part of a randomized clinical trial at a VA Medical Center and SCI center.A convenience sample of 36 community-dwelling persons with SCI participated in the current study.Outcome measures included the World Health Organization Quality of Life Short Form(WHOQOL-BREF),Leisure-Time Physical Activity Questionnaire for People with Spinal Cord Injury(LTPAQ-SCI),anthropomorphic measures(waist,hip,and abdominal circumference),and dual-energy x-ray absorptiometry(DXA)to quantify regional and total body composition.Multiple regression models suggested that engagement in LTPA accounted for 35.7%of the variance in physical health QOL,33.5%in psychological QOL,14.2%in social relationships QOL,and 38.2%in environmental QOL.Anthropometric measures accounted for 11.3%,3.1%,12.0%,and 6.7%of the variance in these QOL indices,respectively,and DXA indices accounted for 18.7%,17.5%,27.4%,and 21.9%.Within these models,the number of minutes of heavy LTPA per day uniquely predicted physical health QOL,the number of mild LTPA days per week uniquely predicted psychological QOL,and the amount of mild LTPA per day uniquely predicted environmental QOL.Bivariate analyses also suggested that android and trunk fat,as well as supine waist and abdominal circumferences,were positively associated with social relationships QOL.Encouraging individuals with SCI to engage in LTPA may robustly enhance multiple aspects of QOL while reducing the risk for cardiovascular and metabolic morbidities associated with SCI.Moreover,this may lead to a further understanding of how QOL may impact longitudinal intervention trials.The study protocol and procedures were reviewed and approved by the McGuire VA Research Institutional Review Board(IRB#02152,approval date August 9,2015;IRB#02375,approval date May 2,2018).

The levels of osteopontin in human milk of Chinese mothers and its associations with maternal body composition

Objective:This study explored the content and change trend of osteopontin(OPN)in breast milk and analyzed the relationship between OPN in breast milk and maternal body composition.Methods:Breast-feeding mothers were recruited in Xinhua Hospital to collect breast milk and provide pertinent information.The content of OPN in breast milk was determined by enzyme-linked immunosorbent assay(ELISA).Determination of protein content in human milk was performed via the BCA method.The maternal body composition was determined by the bioelectrical impedance method.Serum glucocorticoid receptorα,adiponectin,insulin,and leptin were determined by ELISA.SPSS 25 was used for statistical analysis.Results:In the longitudinal cohort,106 mothers provided 318 milk samples at different lactation periods.The results indicate that the OPN showed dynamic changes.OPN levels were(343.2±163.5)mg/L during 1-14 days postpartum,(228.4±121.5)mg/L during 2-4 months postpartum,and(204.8±100.6)mg/L during 5-7 months postpartum.The content of OPN was very high in the first 1-14 days postpartum and then decreased.Compared with early postpartum milk,the OPN content of mature milk showed a significant relationship with maternal weight-related parameters.Additional body composition analysis was performed in 88 women at the mature milk phase.The results show that the OPN in milk is related to the mother’s body composition,especially the content of skeletal muscle mass,but not to relevant humoral factors.Conclusions:The levels of OPN in human milk of Chinese mothers showed dynamic changes with the extension of lactation time.The OPN in human milk was related to the mother’s body composition but not related to related humoral factors.

The Effects of Lactobacillus rhamnosus GG on Mechanical Properties of Long Bones and Body Composition in Immunodeficient Mice

This study aimed to assess whether a daily supplementation with Lactobacillus rhamnosus GG (LGG) can alter the body composition as well as bone turnover and the mechanical properties of the bones in systemic immunodeficiency. For this, we use an in vivo model of severe combined immunodeficient (scid) mice supplemented daily with LGG over 8 weeks period. After 8 weeks of the treatment, the animals were assessed by DEXA and then the blood was collected from the hepatic portal vein for bone turnover biomarkers;post-mortem, the caecum was removed for isolation and enumeration of the gut bacteria, while femurs/tibiae were excised for the assessment of their mechanical properties. LGG treatment affected the composition of the gut microbiota at the order level, and it decreased (P = 0.002) total adipose tissue content. Moreover, LGG treatment decreased the stiffness (N/mm) of both femurs (P = 0.008) and tibiae (P = 0.011). To conclude, this study shows that dietary supplementation with LGG in immunodeficient animals can alter mechanical properties of the long bones and concomitantly it can modify host’s total adiposity level.

Hydration status,body composition,and anxiety status in aeronautical military personnel from Spain:a crosss-ectional study

Background: An adequate hydration status is critical to ensure efficiency during mental and physical activities.Our goal was to assess the hydration status of a Spanish group of aeronautical military men and to determine the association of hydration status with body composition and anxiety.Methods: A total of 188 men were evaluated through a validated hydration questionnaire, anthropometric and biochemical parameters, and an anxiety questionnaire. Based on these methods, the criteria of hydration were established.Results: Of the total sample, 81% met the hydration criteria(urine color = well hydrated, water balance ≥0 ml, and total water intake/weight ≥35 ml/kg), and 19% did not meet the hydration criteria(urine color = not sufficiently hydrated or dehydrated, water balance <0 ml, and total water intake/weight <35 ml/kg). Subjects not meeting the hydration criteria had lower urine pH, negative water balance, and lower water intake. The latter also had higher anxiety status(score=4 vs. 3, P=0.026), weight [(84.7±10.5) kg vs.(80.5±10.2) kg], body mass index [(26.3±3.1) kg/m;vs.(25.2±2.8) kg/m;], body fat [(22.3±5.6)% vs.(18.3±6.5)%], urine specific gravity, and urine color. Using a logistic binary regression model, hydration status was related significantly with the percentage of body fat(P=0.004), but no relation was found with age, comorbidities, or medications. Furthermore, total water intake/weight was positively correlated with percentage of body water(r=0.357, P=0.000) and negatively with body fat(kg)(r=–0.427, P=0.000), percentage of body fat(r=–0.405, P=0.000), and waist/hip ratio(r=–0.223, P=0.002). Based on a linear regression model, total water intake/weight was related significantly with percentage of body fat(P=0.001) and percentage of body water content(P=0.035). No relation was found, however, with waist/hip ratio, age, comorbidities, or medications.Conclusions: These findings all suggest a relationship between hydration status and body composition but also set the bases for future studies that relate hydration status and anxiety status. These results can be used to improve the hydration status and body composition of military personnel.

Effects of different levels of sweet potato in feeds on body composition and digestive enzymes activities of A postichopus japonicas Selenka

The aim of this study was to test the ef fects of including sweet potato tuber and stem powder in feed on the body composition and digestive enzyme activities of the sea cucumber A postichopus japonicas Selenka. Dif ferent proportions of sweet potato tuber and stem powders(from 10% to 50%) were added into compound feeds, which were supplied to A. japonicas during a 60-day experiment. The results showed that the two sweet potato ingredients had different eff ects on the nutrient contents of the sea cucumber body wall. The group supplied with feed containing 20% sweet potato tuber powder(T2) had the highest level of crude protein in body walls(P <0.05), while there were no significant dif ferences in the moisture and ash contents of body walls among the groups(P >0.05). In all the groups fed with powdered sweet potato tubers(T groups), the proportions of glutamic acid and lysine in body walls were higher than those in the control, whereas the proportion of methionine decreased slightly. Diff erent proportions of sweet potato ingredients in compound feeds also af fected digestive enzyme activities in the sea cucumbers. The activities of protease and lipase first increased and then gradually decreased with increasing proportions of sweet potato materials in the feed. The highest protease activity was in the T2 and the group and the highest lipase activity was in the 10% sweet potato stem(S1) group. These results show that feed components can stimulate digestive enzyme activities in sea cucumber, and that the proportions of tubers and stems of sweet potato in feed can be adjusted to improve the digestion and growth of A. japonicas in marine farms.

Relationship between peak oxygen uptake and regional body composition in Japanese subjects

Purpose： To investigate the link between peak oxygen uptake and regional body composition by dual energy X-ray absorptiometry （DEXA） in Japanese subjects. Methods： A total of 93 men （42.2 ± 12.3 years old） and 106 women （43.5 ± 12.3 years old） were enrolled in this cross-sectional investigation study. Peak oxygen uptake was measured by the breath-by-breath method. Regional body composition i.e., body fat mass, lean body mass, and body fat percentage was evaluated using DEXA. In addition, metabolic risk parameters were also evaluated. Results： Peak oxygen uptake was 37.6± 8.7 mL/kg/min in men and 31.1 ± 6.4 mL/kg/min in women, and decreased with age in both genders. Peak oxygen uptake was significantly correlated with total body fat percentage （men： r = -0.684, p 〈 0.0001; women： r = -0.681, p 〈 0.0001）. These associations remained even after adjusting for age and total lean body mass. However, peak work rate was positively and significantly correlated with leg lean body mass. Conclusion： Peak oxygen uptake was closely correlated with total body fat percentage in both genders. Aerobic exercise as well as leg resistance training might be useful for improving peak oxygen uptake in Japanese subjects. Copyright

Challenges in the noninvasive detection of body composition using near-infrared spectroscopy

Noninvasive detection of body composition plays a significant role in the improvement of life quality and reduction in complications of the patients,and the near-infrared(NIR)spectroscopy,with the advantages of painlessness and convenience,is considered as the most promising tool for the online noninvasive monitoring of body composition.However,quite different from other fields of online detection using NIR spectroscopy,such as food safety and environment monitoring,noninvasive detection of body composit ion demands higher precision of the instruments as well as more rigor-ousness of measurement conditions.Therefore,new challenges emerge when NIR spectroscopy is applied to the noninvasive detection of body composition,which,in this paper,are first concluded from the aspects of measurement methods,measurement conditions,instrument precision,multi-component influence,individual difference and novel weak signal extraction method based on our previous research in the cutting edge field of NIR noninvasive blood glucose detection.Moreover,novel ideas and approaches of our group to solve these problems are introduced,which may provide evidence for the future development of noninvasive blood glucose detection,and further contibute to the noninvasive detection of other body compositions using NIR spectroscopy.

Statistical Medical Pattern Recognition for Body Composition Data Using Bioelectrical Impedance Analyzer

Identifying patterns,recognition systems,prediction methods,and detection methods is a major challenge in solving different medical issues.Few categories of devices for personal and professional assessment of body composition are available.Bioelectrical impedance analyzer is a simple,safe,affordable,mobile,non-invasive,and less expensive alternative device for body composition assessment.Identifying the body composition pattern of different groups with varying age and gender is a major challenge in defining an optimal level because of the body shape,body mass,energy requirements,physical fitness,health status,and metabolic profile.Thus,this research aims to identify the statistical medical pattern recognition of body composition data by using a bioelectrical impedance analyzer.In previous studies,a pattern was identified for four indicators that concern body composition(e.g.,body mass index(BMI),body fat,muscle mass,and total body water).The novelty of our study is the fact that we identified a recognition pattern by using medical statistical methods for a body composition that contains seven indicators(e.g.,body fat,visceral fat,BMI,muscle mass,skeletal muscle mass,sarcopenic index,and total body water).The youth that exhibited the body composition pattern identified in our study could be considered healthy.Every deviation of one or more parameters outside the margins of the pattern for body composition could be associated with health issues,and more medical investigations would be needed for a diagnosis.BIA is considered a valid and reliable device to assess body composition along with medical statistical methods to identify a pattern for body composition according to the age,gender,and other relevant parameters.