Body Composition Measurements Research Articles

Dietary antioxidant capacity is inversely associated with F2- isoprostane and body fat percentage in elite soccer referees

Background Dietary antioxidant Capacity (DaC) has been used as a tool for predicting plasma and dietary antioxidant concentrations. However, the DaC association with oxidative stress (OS) and body composition parameters is an unexplored area, mainly in physically active individuals. Given the potential for increased OS in physically active individuals, it becomes crucial to investigate this association. The aim of this study was to analyze the association between DaC, OS biomarkers, and body composition in healthy and physically active individuals. Methods This Cross-sectional study included 20 male soccer referees. Body composition measurements (body mass, fat mass, lean mass, and waist circumference), OS biomarkers (F2-isoprostane, total antioxidant state, total oxidative status, reduced glutathione, oxidized glutathione, superoxide dismutase, glutathione peroxidase (GPx) and catalase), and DaC were evaluated. Linear regression models were used to determine the association between DaC and the dependent variables. The study was approved by the Human Research Ethics Committee of the Federal University of Santa Catarina (UFSC), CAAE 82584318.0.0000.0121, and file no. 2.572.301. Results DaC was inversely associated with F2-isoprostane (p = 0.044), GPx activity (p = 0.048), and body fat percentage (p = 0.025). Conclusions Increased DaC in physically active individuals may bring benefits related to biomarkers of OS, such as decreasing F2-isoprostane and increasing GPx activity. The increase in DaC also showed an improvement in body composition, demonstrated by the lower percentage of body fat in the study subjects.

Reliability, biological variability, and accuracy of multi-frequency bioelectrical impedance analysis for measuring body composition components

IntroductionBioelectrical impedance analysis (BIA) systems are gaining popularity for use in research and fitness assessments as the technology improves and becomes more affordable and easier to use. Multifrequency BIA (MF-BIA) may improve accuracy and precision using octopolar contacts for segmental analyses.PurposeEvaluate reliability, biological variability, and accuracy of component measures (total body water, mass, and composition) of commercially available MF-BIA system (InBody 770, Cerritos, California, USA).MethodsFourteen healthy military-age adults were assessed by MF-BIA in duplicate on five laboratory visits across 3 weeks (10 measures each). Participants were evaluated at the same time of day after refraining from strenuous exercise (> 48 h), alcohol consumption (> 24 h), and caffeine, nicotine, and food (> 10 h). Systematic error (test–retest reliability) and biological variability (day-to-day reliability) were summarized by intraclass correlation coefficient (ICC) values determined for body mass (fat, fat-free, total) and body water (extracellular, intracellular, total). Body composition measurements derived from BIA on the second visit were also tested for accuracy compared to dual-energy x-ray absorptiometry (DXA).ResultsTest–retest reliability was very high for all measurements of whole-body water and mass (ICC ≥ 0.999) and high for regional body water and mass (ICC 0.973–1.000). Biological variability was observable with very minor differences between tests (same day) for total and regional body water (0.0–0.2 L) and total and regional body mass measurements (0.0–0.2 kg); while between day differences were slightly higher (0.0–0.5 L and 0.1–0.7 kg). Compared to DXA, the MF-BIA whole-body measures showed an offset in %BF (Bias −4.0 ± 2.8%; Standard error of the estimate (SEE), 2.6%), an overprediction for total body fat-free mass (Bias 2.8 ± 2.1 kg; SEE 2.2 kg) and an underprediction of total body fat mass (Bias −2.9 ± 2.0 kg; SEE 1.9 kg).ConclusionUnder controlled conditions with fit and healthy men and women, this MF-BIA system has high methodological reliability and demonstrates stable day-to-day measurements of major body composition components. Previously reported ~3% body fat offset compared to criterion methods was again confirmed. Precision of the InBody 770 shows consistency and supports further testing of this specific device as a new military standards method and suitability across a wider range of %BF.

Deep learning-based body composition analysis from whole-body magnetic resonance imaging to predict all-cause mortality in a large western population

Manually extracted imaging-based body composition measures from a single-slice area (A) have shown associations with clinical outcomes in patients with cardiometabolic disease and cancer. With advances in artificial intelligence, fully automated volumetric (V) segmentation approaches are now possible, but it is unknown whether these measures carry prognostic value to predict mortality in the general population. Here, we developed and tested a deep learning framework to automatically quantify volumetric body composition measures from whole-body magnetic resonance imaging (MRI) and investigated their prognostic value to predict mortality in a large Western population. The framework was developed using data from two large Western European population-based cohort studies, the UK Biobank (UKBB) and the German National Cohort (NAKO). Body composition was defined as (i) subcutaneous adipose tissue (SAT), (ii) visceral adipose tissue (VAT), (iii) skeletal muscle (SM), SM fat fraction (SMFF), and (iv) intramuscular adipose tissue (IMAT). The prognostic value of the body composition measures was assessed in the UKBB using Cox regression analysis. Additionally, we extracted body composition areas for every level of the thoracic and lumbar spine (i) to compare the proposed volumetric whole-body approach to the currently established single-slice area approach on the height of the L3 vertebra and (ii) to investigate the correlation between volumetric and single slice area body composition measures on the level of each vertebral body. In 36,317 UKBB participants (mean age 65.1±7.8 years, age range 45-84 years; 51.7% female; 1.7% [634/36,471] all-cause deaths; median follow-up 4.8 years), Cox regression revealed an independent association between VSM (adjusted hazard ratio [aHR]: 0.88, 95% confidence interval [CI] [0.81-0.91], p=0.00023), VSMFF (aHR: 1.06, 95% CI [1.02-1.10], p=0.0043), and VIMAT (aHR: 1.19, 95% CI [1.05-1.35], p=0.0056) and mortality after adjustment for demographics (age, sex, BMI, race) and cardiometabolic risk factors (alcohol consumption, smoking status, hypertension, diabetes, history of cancer, blood serum markers). This association was attenuated when using traditional single-slice area measures. Highest correlation coefficients (R) between volumetric and single-slice area body composition measures were located at vertebra L5 for SAT (R=0.820) and SMFF (R=0.947), at L3 for VAT (R=0.892), SM (R=0.944), and at L4 for IMAT (R=0.546) (all p<0.0001). A similar pattern was found in 23,725 NAKO participants (mean age 53.9±8.3 years, age range 40-75; 44.9% female). Automated volumetric body composition assessment from whole-body MRI predicted mortality in a large Western population beyond traditional clinical risk factors. Single slice areas were highly correlated with volumetric body composition measures but their association with mortality attenuated after multivariable adjustment. As volumetric body composition measures are increasingly accessible using automated techniques, identifying high-risk individuals may help to improve personalised prevention and lifestyle interventions. This project was conducted using data from the German National Cohort (NAKO) (www.nako.de). The NAKO is funded by the Federal Ministry of Education and Research (BMBF) [project funding reference numbers: 01ER1301A/B/C, 01ER1511D, and 01ER1801A/B/C/D], federal states of Germany and the Helmholtz Association, the participating universities and the institutes of the Leibniz Association. This research has been conducted using the UK Biobank Resource under Application Number 80337. MJ was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)-518480401. VKR was funded by American Heart Association Career Development Award 935176 and National Heart, Lung, and Blood Institute-K01HL168231.

Creatine supplementation protocols with or without training interventions on body composition: a GRADE-assessed systematic review and dose-response meta-analysis.

Despite the robust evidence demonstrating positive effects from creatine supplementation (primarily when associated with resistance training) on measures of body composition, there is a lack of a comprehensive evaluation regarding the influence of creatine protocol parameters (including dose and form) on body mass and estimates of fat-free and fat mass. Randomized controlled trials (RCTs) evaluating the effect of creatine supplementation on body composition were included. Electronic databases, including PubMed, Web of Science, and Scopus were searched up to July 2023. Heterogeneity tests were performed. Random effect models were assessed based on the heterogeneity tests, and pooled data were examined to determine the weighted mean difference (WMD) with a 95% confidence interval (CI). From 4831 initial records, a total of 143 studies met the inclusion criteria. Creatine supplementation increased body mass (WMD: 0.86 kg; 95% CI: 0.76 to 0.96, I2 = 0%) and fat-free mass (WMD: 0.82 kg; 95% CI: 0.57 to 1.06, I2 = 0%) while reducing body fat percentage (WMD: -0.28 %; 95% CI: -0.47 to -0.09; I2 = 0%). Studies that incorporated a maintenance dose of creatine or performed resistance training in conjunction with supplementation had greater effects on body composition. Creatine supplementation has a small effect on body mass and estimates of fat-free mass and body fat percentage. These findings were more robust when combined with resistance training.

Impact of daily fasting duration on body composition and cardiometabolic risk factors during a time-restricted eating protocol: a randomized controlled trial

BackgroundTime-restricted eating (TRE) is a dietary regimen that limits food intake for at least 12 h daily. Unlike other fasting protocols, TRE does not dictate what or how much to eat but rather focuses on the timing of meals. This approach has been previously demonstrated to improve body composition in individuals with obesity or metabolic impairments. However, its impact on body composition and cardiometabolic factors in healthy individuals remains unclear. Furthermore, the optimal fasting duration is still debated. Thus, we aimed to compare the effects of 8 weeks of different fasting durations on body composition and biochemical parameters in metabolically healthy, non-trained individuals using a parallel randomized controlled trial.MethodsForty-one volunteers were randomly assigned to one of the four experimental groups: TRE 16:8 (16 h of fasting,8 h of eating), TRE 14:10 (14 h of fasting,10 h of eating), TRE 12:12 (12 h of fasting,12 h of eating) or a normal diet group (ND; no dietary restriction). Participants underwent body composition measurements and blood tests for lipid profiles (i.e., total cholesterol, LDL, HDL, and triglycerides), fasting glucose, leptin, and anabolic hormones (i.e., insulin and testosterone) levels. Data were analyzed using both intention-to-treat (ITT) and per-protocol (PP) analysis to account for compliance. A two-way ANOVA for repeated measures was employed to assess interactions between time and group.ResultsIn the ITT analysis, TRE 16:8 reduced body mass (-2.46%, p = 0.003) and absolute fat mass (-8.65%, p = 0.001) with no changes in lean soft tissue and in calorie intake. These results were consistent with the PP analysis which included 8 participants in TRE 16:8, 5 in TRE 14:10, 9 in TRE 12:12, and the entire ND group. Participants in the TRE 16:8 group spontaneously reduced their total caloric intake, although this reduction was not statistically significant. None of the other measurements significantly changed after 8 weeks.ConclusionsOur results suggest that a 16-hour fasting window, even without caloric restriction, may be a viable strategy for improving body composition in healthy and non-trained individuals, whereas a shorter fasting period may be insufficient to produce significant changes in a healthy population.Trial registrationNCT, NCT04503005. Registered 4 August 2020, https://clinicaltrials.gov/study/NCT04503005.

Exploring Biomarkers for Excess Extracellular Fluid in the Context of Physical Function in Chronic Kidney Disease Patients

Background/Objectives: Fluid overload is an important risk factor for protein-energy wasting, which could lead to poor outcomes, such as higher morbidity and mortality, in patients with chronic kidney disease (CKD). This study aimed to validate the possible myokine as a biomarker of volume status in patients with non-dialysis CKD. Methods: In total, 151 patients with CKD were enrolled from a single medical center. Demographic data were collected via medical record review. Bioimpedance analysis was performed to measure body composition, and physical performance was assessed by measuring hand grip strength. Results: The physical performance of hand grip strength (21.9 ± 8.7 vs. 19.0 ± 10.1 kg, p = 0.233) and walking speed (1.05 ± 0.29 vs. 0.86 ± 0.52 m/s, p = 0.192) was higher in the low extracellular water/total body water (ECW/TBW) ratio group. Although higher, the median value of the brain-derived neurotrophic factor (BDNF) was not significant in the low ECW/TBW ratio group. Despite that, it had significant negative correlations with the ECW/TBW ratio in Pearson’s correlation analyses (r = −0.329, p &lt; 0.001; r = −0.287, p &lt; 0.001; and r = −0.238, p = 0.003). Linear regression analysis showed that the BDNF level had a significant negative relationship with the ECW/TBW ratio and significant associations even after multivariate analysis. Conclusions: Among myokines, BDNF had a significant negative relationship with the ECW/TBW ratio, suggesting that BDNF could be a possible biomarker for volume status in patients with non-dialysis CKD.

Artificial intelligence measured 3D lumbosacral body composition and clinical outcomes in rectal cancer patients.

Patient body composition (BC) has been shown to help predict clinical outcomes in rectal cancer patients. Artificial intelligence algorithms have allowed for easier acquisition of BC measurements, creating a comprehensive BC profile in patients using data from an entire three-dimensional (3D) region of the body. This study has utilized AI technology to measure BC from the entire lumbosacral (L1-S5) region and assessed the associations between BC and clinical outcomes in rectal cancer patients who have undergone neoadjuvant therapy followed by surgery. A retrospective, cross sectional analysis was performed on locally advanced rectal cancer (LARC) patients treated with neoadjuvant long-course chemoradiotherapy followed by curative resection with total mesorectal excision at a tertiary referral centre, Western Health, Melbourne, Australia. A pre-trained and validated in-house AI segmentation model was used to automatically segment and measure intramuscular adipose tissue (IMAT), visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and skeletal muscle (SM) from CT slices across the entire L1-S5 level of each patient. Multivariate analysis between patient BC and clinical outcomes was performed. Two hundred and fourteen patients were included in the study. One hundred and fifty-one (70.6%) patients were male and 63 (29.4%) patients were female. The average age at diagnosis was 62.4 (±12.7) years. SM density, but not volume, was associated with better overall survival (OS) (HR 0.24, P = 0.029), recurrence-free survival (RFS) (HR 0.45, P = 0.048) and decreased length of stay (LoS) (HR 1.58, P = 0.036). Both IMAT volume (HR 0.13, P = 0.008) and density (HR 0.26, P = 0.006) were associated with better OS. This study measured 3D BC from the entire lumbosacral region of rectal cancer patients. SM density was the most significant BC parameter, and was associated with improved OS, RFS and LoS. This adds to growing evidence that SM is a key component of BC in cancer patients and should be optimized prior to treatment. IMAT was also a prognostic factor, giving rise to avenues of future research into the role of adiposity on nutrition and tumour immunology.

No effects of high versus low protein breakfast on body composition and cardiometabolic health in young women with overweight - the NewStart randomized trial.

The aim of this randomized, controlled trial was to investigate effects of breakfast high or low in protein on body composition and cardiometabolic markers in young women with overweight. In total, 56 women aged 18-30 years consumed a breakfast containing either high-protein (HP, 34 g protein, n= 26) or low-protein (LP, 6 g protein, n=30) for 12 weeks. Measurements of body composition by DXA, waist circumference, glucose tolerance, and fasting glucose, insulin, and lipid profile were performed before and after this period. The primary outcome was fat mass. Satiety and hunger were evaluated by self-reported VAS-scores. Dietary intake was estimated by 4-day dietary records, and calcium intake was estimated by food frequency questionnaires. At baseline, relative daily protein intake was 15.2±2.8 E%, which increased to 19.3±3.4 E% in HP but was unchanged in LP (P<0.001 between groups). HP reported higher satiety compared to LP (P=0.02). Yet, no group differences were observed in changes in energy intake, body composition, blood lipid profile, or measures of glucose tolerance (all P>0.10). However, bone mineral content tended to increase in HP (P=0.05) and decrease in LP (P=0.07, interaction effect: P=0.01). Conclusively, a high versus low content of protein in breakfast increased satiety but did not affect body composition or cardiometabolic markers in young women with overweight. This study adds to the sparse evidence on effects of breakfast with different macro-nutrient compositions on health parameters in women with overweight. Registered at clinicaltrials.gov: NCT04518605.

Approximation of bone mineral density and subcutaneous adiposity using T1-weighted images of the human head

Abstract Bones and brain are intricately connected and scientific interest in their interaction is growing. This has become particularly evident in the framework of clinical applications for various medical conditions, such as obesity and osteoporosis. The adverse effects of obesity on brain health have long been recognised, but few brain imaging studies provide sophisticated body composition measures. Here we propose to extract the following bone- and adiposity-related measures from T1-weighted MR images of the head: an approximation of skull bone mineral density (BMD), skull bone thickness, and two approximations of subcutaneous fat (i.e., the intensity and thickness of soft non-brain head tissue). The reliability and validity of these four distinct measures were tested in two large-scale databases, the UK Biobank and OASIS-3. The measures pertaining to skull BMD, skull bone thickness, and intensity-based adiposity proxy proved to be reliable (ICC=.95/.83/.66, p&amp;lt;.001) and valid, with high correlations to DXA-derived head BMD values (rho=.70, p&amp;lt;.001) and MRI-derived abdominal subcutaneous adipose volume (rho=.62, p&amp;lt;.001). Thickness-based adiposity proxy had only a low retest reliability (ICC=.53, p&amp;lt;.001). The outcomes of this study constitute an important step towards extracting relevant non-brain features from available brain scans.

Design and Development of Portable Body Composition Analyzer for Children

Objectives: The aim of this study was (i) to design and develop a portable BCA device for measuring body composition parameters such as body weight, body fat (BF) %, total body water (TBW), fat-free mass (FFM), muscle mass (MM), and bone mass (BM); (ii) to validate the developed portable BCA with the Tanita MC 980 MA BCA device. Methods: For this current study, two hundred healthy and obese subjects, whose ages ranged from 8 to 12 years (8.4 ± 1.7), were considered. Results: The highest percentage difference between the two study groups was found to be in BFat (50.39%), followed by body mass index (BMI) (41.73 kg), FFM (38.32 kg), and MM (37.89 kg), and this was found to be statistically significant. The results obtained from the designed prototype of the body composition analyzer were validated using Tanita MC 980MA BCA. The overall error% was calculated as ±3% for measuring the different body composition parameters. Conclusions: Due to its low standard error and high overall accuracy, the BCA prototype demonstrates the potential to be a dependable instrument for evaluating and tracking the body composition of children.

Body Composition and Incident High-Intensity Back Pain and/or High Disability: A 10-Year Prospective Population-Based Male Cohort.

Back pain poses a significant global burden, within which individuals with more severe symptoms consume higher healthcare expenses than those with lesser back pain. Whether measures of body composition predict high-intensity back pain and/or high-disability in population-based cohorts is unknown. This study aimed to examine the association between body composition at baseline and their change in the prior 5 years (between 2001-2005 and 2006-2010) and incident high-intensity back pain and/or high-disability in long-term follow-up, 10 years later (2016-2021) in a population-based cohort of men. This study examined men with no or low-intensity back pain and disability (Graded Chronic Pain Scale) at back pain study baseline (2006-2010) within the Geelong Osteoporosis Study. Those developing high-intensity pain and/or high disability at follow-up (2016-2021) were identified. Weight, body mass index (BMI), abdominal circumferences, fat mass and lean mass (dual energy X-ray absorptiometry) were assessed prebaseline (2001-2005) and at baseline. The association of body composition at baseline and change in body composition from prebaseline to baseline with incident high-intensity pain and/or high disability at follow-up were examined using multivariable logistic regression. Of 695 participants with no or low-intensity pain and disability at baseline, 441 (62.3%) completed follow-up with a mean age of 54.3 ± 14.1 years: 37 (8.3%) developed high-intensity pain and/or high-disability, 33 (7.5%) developed high-intensity pain and 14 (3.2%) high disability. No measures of body composition at baseline were associated with incident high-intensity pain and/or high disability at follow-up in the whole population. In subgroup analysis, among men aged over 60 years, but not younger, higher lean mass was associated with decreased likelihood of high-intensity pain and/or high-disability (odds ratio [OR] 0.86, 95% confidence interval [CI] 0.76, 0.97, interaction p < 0.001). In the whole population, examination of the relationship between change in measures of body composition between prebaseline and baseline, only a one unit increase in BMI, equivalent to 3.1-kg weight gain, was associated with increased incident high disability (OR 1.63, 95% CI 1.06, 2.51). In a population-based sample, without severe back pain and disability, in older men aged ≥60 years, higher lean mass was protective of incident high-intensity pain and/or high disability. An increase in BMI, over 5 years, equivalent to 3.1-kg weight gain, was associated with incident back pain related high disability 10 years later. These results demonstrate another detrimental consequence of weight gain and highlight the importance of maintaining muscle mass in older men.

The role of diet as adjuvant treatment in FAP patients.

The management of individuals with familial adenomatous polyposis (FAP) includes invasive prophylactic surgery and intensive endoscopic surveillance to reduce their risk of colorectal cancer. FAP patients frequently ask for dietary recommendations to alleviate bowel disturbances after prophylactic colectomy, and to prevent the formation and growth of new adenomas. We have enriched the multidisciplinary outpatient clinic for FAP with nutritional support. This paper presents the results of the first six months of this nutritional activity. Sixty-eight individuals with FAP, >18 years of age, who underwent a prophylactic total colectomy, entered in this observational study. At the baseline visit, participants underwent anthropometric measurements, answered the Mediterranean Diet Adherence Screener (MEDAS), the Faecal Incontinence Quality of Life (FIQL) questionnaire, and reported the number of their diarrhoeal discharges per day. They received dietary recommendations including specific information about the inflammatory food to reduce (red/processed meat, sugar, sweets), and the Mediterranean food to increase (vegetables, fruits, whole grain cereal in cream and legumes' hummus). After six months, participants repeated the same baseline measurements. Fifty-three individuals with FAP completed the six-month follow-up. The before-after analysis showed significant improvements in patients' body composition measurements and MEDAS score. Participants significantly reduced the number of diarrhoeal discharges per day. FIQL results showed improvements in lifestyle, behaviour, and depression scores. These results suggest that targeted low-inflammatory Mediterranean dietary recommendations are effective in improving anthropometric parameters, diet quality, and various aspects of quality of life related to bowel function in individuals with FAP.

Urinary pentosidine as a potential biomarker of muscle and physical performance in young adult men

Pentosidine is representative of the cross-linked structure of advanced glycation end products (AGEs) and has been suggested as a biomarker to assess bone and muscle quality. As studies on pentosidine in young adult men remain limited, we aimed to clarify the associations of urinary pentosidine with musculoskeletal status and physical performance in young men. Participants in this study comprised 32 men (age range: 19–39 years). Anthropometric measurements (body composition by InBody 430; stiffness index by ultrasound), muscle performance (grip strength by dynamometer, thigh muscle thickness by ultrasound), physical performance (functional reach test, 30-s chair stand test, and timed up and go test), and urinary biomarkers (pentosidine, N-telopeptide of type I collagen, and creatinine) were measured. In partial correlation analysis adjusted for age and height, higher urinary pentosidine levels were significantly associated with lower fat-free mass index (rho = − 0.368, p = 0.046), grip strength (rho = − 0.433, p = 0.017), rectus femoris thickness (rho = − 0.393, p = 0.032), and anterior thigh thickness (rho = − 0.416, p = 0.022), and a marginally inverse correlation was noted between urinary pentosidine levels and functional reach test (rho = − 0.327, p = 0.078). Our findings suggest that pentosidine correlates inversely with a few muscle and physical performance indicators. Pending future validations, urinary pentosidine may be a biomarker of AGEs in young men.

Do Time-Dependent Repeated Measures of Anthropometric and Body Composition Indices Improve the Prediction of Incident Diabetes in the Cohort Study? Findings from a Community-Based Korean Genome and Epidemiology Study.

Cumulative evidence consistently shows that anthropometric and body composition measurements are strongly linked to the risk of incident diabetes, typically based on baseline measurements. This study aims to assess whether repeated measurements enhance the prediction of diabetes risk beyond baseline assessments alone. We utilized data from a 16-year population-based follow-up cohort within the Korean Genome and Epidemiology Study, comprising 6,030 individuals aged 40 to 69 years at baseline. We included eight indices: a body shape index (ABSI), body adiposity index (BAI), waist circumference (WC), body mass index (BMI), waist-to-hip ratio (WHR), weight-adjusted skeletal muscle index (SMI), percent body fat, and fat-to-muscle ratio. The effect of these measurements for incident diabetes was estimated using Harrell's C-indexes and hazard ratios with 95% confidence intervals, employing time-dependent Cox proportional hazard models. Over the 16-year follow-up, 939 new diabetes cases were identified (cumulative incidence, 15.6%). The median number of indicator measurements per participant was eight. The basic model, including 10 features (sex, age, education levels, physical activity, alcohol intake, current smoking, total energy intake, dietary diversity score, and log-transformed C-reactive protein levels, and quartiles of unweighted genetic risk score at baseline), yielded a Harrell's C-index of 0.610. The highest C-index in repeated measurements was for WC (0.668) across the general population, weight-adjusted SMI in men, and WHR in women. However, except for ABSI and BAI, the diabetes predictive power of the other indicators was comparable. Additionally, repeated measurements of WC, BMI, and WHR in women were found to contribute to improved discrimination compared to baseline measurements, but not in men. Utilizing repeated measurements of general and central adiposity to predict diabetes may be helpful in predicting hidden risks, especially in women.

Association of oral health with nutritional status of the older adults: a cross-sectional study.

The potential association between oral health and nutritional status of the very old, has been poorly investigated. Thus, we carried out the cross-sectional study to evaluate the association of oral health with the nutritional status of the older adults. 210 participants aged over 75 years were included in the study. Nutritional status was assessed by the Short-form Mini-Nutritional Assessment (MNA-SF) and body composition measurement. Data were available for self-reported oral health (10-item Eating Assessment Tool (EAT-10) and Chewing Function Questionnaire (CFQ)) and specific experimental tests including salivary flow, tongue and lip pressure, occlusal force, water swallow test and taste test for the detection of oral functions. Spearman rank correlation was used to analyze the correlation between body composition and oral health. Logistic regression and restricted cubic spline models were applied to examine the association of oral health with malnutrition. The study reveals that poor oral health is related to the malnutrition. The tongue pressure and molar occlusal force were significantly associated with malnutrition in an L-shaped dose-response relationship after adjustment for potential confounding factors. The higher the tongue pressure and molar occlusal force, the lower the risk of malnutrition. Besides, the CFQ score, salty, sour, and bitter taste, are risk factors for malnutrition. The presence of malnutrition is significantly associated with poor oral health in older adults. Our study supposes that the design of food suitable for oral conditions of the older adults may be another feasible solution to the nutritional problems among them.

Genetically Predicted Body Composition and Risk of Surgical Site Infection: A Mendelian Randomization Study.

Objective: This study employed uni-variable and multi-variable Mendelian randomization (MVMR) analyses, utilizing publicly available genome-wide association study (GWAS) data, to assess the causal relationship between body composition measures such as body mass index (BMI), waist circumference (WC), and the occurrence of surgical site infection (SSI). Patients and Methods: GWAS summary statistical data were obtained for BMI, WC, and SSI from the MRC Integrated Epidemiology Unit (MRC-IEU) database, inverse variance weighted (IVW) method was used as the main analysis, and supplement sensitivity analysis (including heterogeneity test, pleiotropy analysis, leave-one-out analysis, and Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO)) was used to check the robustness of the results. Results: The MR analysis showed that the increase in BMI and WC predicted by genes had a substantial causal effect on the incidence of SSI (IVW: odds ratio [OR] = 1.003, 95% confidence interval [CI] = 1.002-1.004, p < 0.001; IVW: OR = 1.003, 95% CI = 1.002-1.005, p < 0.001), respectively, and the MVMR analysis showed that after jointly incorporating smoking and alcohol parameters, the impact of BMI and WC on SSI remained substantial (OR = 1.003, 95% CI = 1.002-1.004, p < 0.001; OR = 1.004, 95% CI = 1.002-1.005, p < 0.001). Conclusion: We further support the causal relationship between increased body composition including BMI and WC and the occurrence of SSI, highlighting the importance of SSI prevention in patients with obesity. Further research is required to mitigate the occurrence of surgical incisions in patients with obesity in the future.

Lifestyle intervention improves cardiometabolic profiles among children with metabolically healthy and metabolically unhealthy obesity

BackgroundIn recent years, there has been a surge of interest in the metabolic phenotype among children with obesity characterized by the absence of associated cardiometabolic risk factors (CRFs), known as metabolically healthy obesity (MHO), as opposed to those with metabolically unhealthy obesity (MUO). This study investigated the effect of lifestyle intervention on CRFs among children with MHO and MUO.MethodsA total of 102 school-aged children with obesity (54 girls and 48 boys) aged 8–16 years completed a 16-week school-based lifestyle modification intervention program, MyBFF@school Phase I. The intervention consisted of physical activity, healthy eating promotion, and psychological empowerment. MHO and MUO statuses were defined based on the 2018 consensus-based criteria. Fasting venous blood collection, body composition measurement, clinical assessment and physical fitness testing were conducted at baseline and at the end of week 16.ResultsAfter the intervention, the CRFs of the children with MUO improved with significant decreases in systolic (p < 0.001) and diastolic (p = 0.01) blood pressure and a significant increase in high-density lipoprotein cholesterol (HDL-C) (p = 0.005), while the CRFs of the children with MHO had a significant decrease in uric acid (p = 0.04). Additionally, 51.6% of the children with MHO transitioned to the MUO, while 26.8% of the children with MUO crossed over to the MHO at the end of the intervention. Furthermore, the odds of having high systolic blood pressure among children with MUO were 59% lower at week-16 than at baseline (OR = 0.41 (95% CI = 0.18, 0.92), p = 0.03).ConclusionsOur findings demonstrated that CRFs improved more prominently among children with MUO following the intervention. More importantly, our findings indicate that MHO in children is transient, hence, strategies to protect children against MUO are warranted.Trial registration: ClinicalTrials.gov NCT02212873.

Non-modifiable and Modifiable Risk Factors in Vascular Ageing Extremes: The African-PREDICT Study

BackgroundCardiovascular risk factors accelerate vascular ageing beyond chronological age, hence early vascular ageing (EVA). Carotid to femoral pulse wave velocity (cfPWV) is a measure of vascular ageing and is used to identify EVA and supernormal vascular ageing (SUPERNOVA). Vascular ageing is not completely understood in African populations. Therefore, we aimed to phenotype young South African adults stratified by cfPWV extremes in terms of non-modifiable and modifiable risk factors. This study included 1133 young adults (mean age: 24.5 years). We measured cfPWV using applanation tonometry. Body composition measures, self-reported 24-h dietary intake, smoking and alcohol consumption were included. Fasting blood samples were analysed for biochemical risk factors. Three groups based on cfPWV percentiles were compared and included SUPERNOVA (≤ 10th percentile), average vascular ageing (AVA, between 10 to 90th percentile) and EVA (≥ 90th percentile).ResultsChronological age, male sex, smoking, alcohol use, and blood pressure were incrementally higher across PWV groups (all p trend ≤ 0.007). Black ethnicity was higher (p = 0.038) in the SUPERNOVA group. In exploratory factor analysis, a factor pattern including mean arterial pressure and fasting glucose showed beneficial odds (OR 0.62, p = 0.002) for SUPERNOVA and higher likelihood (OR 2.10, p < 0.001) for EVA. Another factor pattern of socio-economic status and total dietary fat showed lower odds (OR 0.64, p = 0.003) for EVA.ConclusionPoor lifestyle behavioural risk factors seem detrimental in the EVA group conferring a possible higher risk of future CVD.

Consistency between bioelectrical impedance analysis and dual-energy X-ray absorptiometry in body composition measurement in children aged 6-17 years in China

Objective: To evaluate the consistency between bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA) in the measurement of body composition in children aged 6-17 years in China. Methods: Fat-free mass, fat mass and fat mass percentage were measured by both BIA and DXA in 1 161 children. t-test or Wilcoxon paired test was used to evaluate the different outcome of the two methods. The correlation and consistency between the methods were evaluated by Spearman correlation coefficients (r) and Bland-Altman analysis. Results: Body compositions measured by BIA was positively correlated with those measured by DXA (fat mass r=0.95, fat-free mass r=0.98, fat mass percentage r=0.86, all P<0.05). Comparing with DXA, BIA underestimate children's fat mass [the mean difference is -3.15 kg, and the SD is 2.35 kg, 95% limits of agreement (LoA): -7.74-1.45 kg] and fat mass percentage (the mean difference is -8.45%, and the SD is 4.63%, 95% LoA: -17.53%-0.64%). Conclusions: Body compositions measured by BIA was highly positively correlated with those measured by DXA. BIA has certain application value in the measurement of body fat mass and fat-free mass of children aged 6-17 years.

Paying attention to body composition characteristics of children in China

Human body composition can be divided into adipose tissue and non-adipose tissue. The content and composition ratio of body composition, which are influenced by multiple factors, such as age, gender, growth and development, dietary nutrition, physical activity and disease, can be used to reflect the nutritional and health status of human body. The body composition of children and adolescents shows more obvious characteristics of changing with their growth and development. Scientific evaluation of the body composition characteristics of children and adolescents, and the level and relative position of individual body composition in the whole population in China is of great significance for the understanding of one's nutritional status, prevention and control of overweight and obesity, and evaluation of long-term health risks. Bioelectrical impedance method has many advantages in the measurement of body composition, such as safety, non-invasiveness, easy operation and stable and reliable results. Moreover, it is suitable for the measurement of body composition of children and adolescents.