Body Fat Mass Research Articles

Development Of Three Anthropometric Methods To Predict DXA-derived Body Fat Mass In Mexican Athletes

Development Of Three Anthropometric Methods To Predict DXA-derived Body Fat Mass In Mexican Athletes

Combined oral contraceptive use and obesity in women with polycystic ovary syndrome. A meta-analysis of randomized clinical trials.

Polycystic ovary syndrome (PCOS) is a heterogenous endocrine condition and combined oral contraceptives (COCs) have been demonstrated to be the first-line treatment to women who do not intend to become pregnant. The combination of COCs and PCOS may or may not amplify the risks of cardiovascular events. To investigate whether surrogates for obesity may be influenced by the use of COCs containing different formulations in women with PCOS. From January 2024 a literature search was conducted in Google Scholar and Pubmed databases using PCOS, COC, and obesity terms. Hand search of randomized clinical trials in the references of obtained manuscripts was also performed. After the exclusion of reviews and articles that did not fulfill eligibility criteria, compared the results obtained before and after the use of COCs in 13 randomized clinical trials (RCTs). Random-effects model was used to estimate the standardized mean differences (SMD) and standard errors (SE). Risk of bias was examined using the Rob2 tool. Thirteen heterogeneous RCTs reported no difference in waist circumference with the use of different COC formulations (p = 0.714). On the contrary, body fat mass increased with the use of pill (p = 0.013). Waist triglyceride index and lipid accumulation product tended to be higher after the use of COCs (p = 0.073 and p = 0.064, respectively). Combined oral contraceptives with different formulations might increase fat mass accumulation in women with PCOS. Lipids may also be increased in PCOS users. Because some concerns about the quality and heterogeneity identified in various RCTs, caution should be taken before a definitive conclusion regarding the use of COCs and obesity.

Greater energy surplus promotes body protein accretion in healthy young men: A randomized clinical trial

Background & aimsCaloric overfeeding combined with adequate protein intake increases not only body fat mass but also fat-free mass. However, it remains unclear whether the increase in fat-free mass due to overfeeding is associated with an increase in total body protein mass. We evaluated the hypothesis that overfeeding would promote an increase in total body protein mass. MethodsIn our randomized controlled trial, 23 healthy young men were fed a diet equivalent to their energy requirements with a +10 % energy surplus from protein alone or a +40 % energy surplus (+10 % from protein, +30 % from carbohydrate) for 6 weeks. We estimated total body protein mass by a four-compartment model using dual-energy X-ray absorptiometry, deuterium dilution, and hydrostatic underwater weighing. ResultsThe 40 % energy surplus over 6 weeks significantly increased body protein mass compared to baseline by 3.7 % (0.44 kg; 95 % confidence interval [CI], 0.21–0.67 kg; P = 0.003); however, the 10 % energy surplus did not result in a significant change (0.00 kg; 95 % CI, −0.38–0.39 kg; P = 0.980). A significant interaction between intervention duration (time) and energy surplus (group) was observed for total body protein mass (P = 0.035, linear mixed-effects model), with a trend toward a significant difference in total body protein mass gain between groups (P = 0.059, Wilcoxon rank sum test). The increase in body protein mass due to the energy surplus was correlated with an increase in fat mass (r = 0.820, p = 0.002). ConclusionsA higher energy intake was found to promote an increase in body protein mass in healthy men consuming excess protein, suggesting the importance of energy surplus in body protein accumulation. This effect of energy surplus may be related to factors such as increased body fat mass and the associated secretion of adipokines. Trial registrationThe trial was registered with the University Hospital Medical Information Network Clinical Trial Registry as UMIN000034158.

Development and clinical application of bioelectrical impedance analysis method for body composition assessment.

Obesity, which is characterized by excessive body fat, increases the risk of chronic diseases, such as type 2 diabetes, cardiovascular diseases, and certain cancers. Sarcopenia, a decline in muscle mass, is also associated with many chronic disorders and is therefore a major concern in aging populations. Body composition analysis is important in the evaluation of obesity and sarcopenia because it provides information about the distribution of body fat and muscle mass. It is also useful for monitoring nutritional status, disease severity, and the effectiveness of interventions, such as exercise, diet, and drugs, and thus helps assess overall health and longevity. Computed tomography, magnetic resonance imaging, and dual-energy X-ray absorptiometry are commonly used for this purpose. However, they have limitations, such as high cost, long measurement time, and radiation exposure. Instead, bioelectrical impedance analysis (BIA), which was introduced several decades ago and has undergone significant technological advancements, can be used. It is easily accessible, affordable, and importantly, poses no radiation risk, making it suitable for use in hospitals, fitness centers, and even at home. Herein, we review the recent technological developments and clinical applications of BIA to provide an updated understanding of BIA technology and its strengths and limitations.

Does the Composition of Breast Milk in the First Week Postpartum Differ Due to Maternal Factors or Neonatal Birth Weight and Percent Fat Body Mass?

Background: The composition of breast milk is dependent on numerous factors. However, the precise impact of maternal health conditions on breast milk composition remains to be fully elucidated. Similarly, there is a paucity of evidence regarding the correlation between neonatal body composition and human milk. The objective of the study was to evaluate the macronutrient composition of breast milk collected during the first week postpartum from mothers with gestational diabetes and healthy mothers in terms of selected maternal and neonatal factors. Methods: n = 70 breast milk samples were analyzed for fat, protein, carbohydrate, dry matter, true protein, and energy. The results were evaluated in terms of selected maternal factors, as well as neonatal birth weight (BW) and percent fat body mass (%FBM), which was assessed with a bioimpedance method. Results: Energy of breast milk in the study group was as follows: median 55.5 kcal/dL in GDM G1, median 55.5 kcal/dL in GDM G2, and median 65.0 kcal/dL in non-GDM, which differed significantly in Kruskal–Wallis ANOVA. Neonatal %FBM, but not BW, was found to be significantly related to concentrations of protein, true protein and dry matter. Maternal gestational weight gain, history of hypothyroidism, and classification by study group were identified as factors affecting both breast milk and neonatal body composition. Conclusions: The composition of breast milk in the initial week following childbirth is predominantly determined by maternal factors. The relationship between selected macronutrients and neonatal percent fat body mass was found to be weak, yet the significance of this finding is unclear. Further research is required to ascertain the influence of maternal milk composition on early infantile nutritional programming.

Dietary inflammatory index, physical activity, body composition, and high sensitivity c-reactive protein levels in adolescent athletes in Central Java

Inflammation is the body's response to tissue damage and infection. Prolonged inflammation can increase the risk of non-communicable diseases, including cardiovascular disease. Some factors that can trigger inflammation are dietary patterns, high physical activity, and body composition. This study examined the correlation between dietary inflammatory index (DII), physical activity, body composition, and high sensitivity C-reactive protein (hs-CRP) levels. It examined differences in characteristics based on gender. This study was a cross-sectional design of 55 adolescent athletes at the Student Sports Education and Training Center in Central Java. The exclusion criteria were an athlete who had a physical injury (did not participate in training) and a smoker. The DII score was calculated based on the dietary pattern using SQFFQ, anthropometric data (weight, height, and nutritional status based on BMI/age), body composition (body fat percentage, fat mass, and fat-free mass) using the BIA tool, physical activity data for the last seven days using IPAQ and hs-CRP levels using the FIA method. Our result showed that the DII score was significantly correlated with hs-CRP (p=0.013). There was no correlation between physical activity, body composition, and anthropometry with hs-CRP levels (p0.05). There were differences in body height, body weight, body fat percentage, and fat-free mass between males and females (p0.001). The diet of athletes had anti-inflammatory potential (83.6%), as evidenced by the intake of vitamins and minerals, and athletes had low hs-CRP levels 1 mg/L (85.5%), indicating that no inflammation occurred. Future longitudinal research is needed with a large population of adolescent athletes to explain the role of anti-inflammatory and pro-inflammatory diets on the incidence of inflammation and measure physical exercise in athletes to reduce inflammatory bias.

The LEAP2 Response to Cancer-Related Anorexia-Cachexia Syndrome in Male Mice and Patients.

The hormone ghrelin serves a protective role in cancer-related anorexia-cachexia syndrome (CACS)-a condition in which plasma levels of ghrelin rise, its administration lessens CACS severity, and experimentally reduced signaling by its receptor (GHSR) worsens fat loss and anorexia and accelerates death. Yet, actions for the related hormone liver-expressed antimicrobial peptide-2 (LEAP2), which is an endogenous GHSR antagonist, are unexplored in CACS. Here, we found that plasma LEAP2 and LEAP2/ghrelin ratio were lower in Lewis lung carcinoma (LLC) and RM-9 prostate cancer CACS mouse models. Ghrelin deletion exaggerated losses of tumor-free body weight and fat mass, reduced food intake, reduced soleus muscle weight, and/or lowered grip strength in LLC or RM-9 tumor-bearing mice. LEAP2 deletion lessened reductions in tumor-free body weight and fat mass and increased food intake in LLC or RM-9 tumor-bearing mice. In a 55-subject cohort of patients with CACS or weight-stable cancer, the plasma LEAP2/total ghrelin ratio was negatively correlated with 6-month weight change preceding blood collection. These data demonstrate that ghrelin deletion exacerbates CACS in the LLC and RM-9 tumor-bearing mouse models while contrastingly, LEAP2 deletion reduces measures of CACS in these tumor-bearing mouse models. Further, they suggest that lower plasma LEAP2/ghrelin ratio protects against worsened CACS.

Efficacy of Probiotics in Overweight and Obesity Control: An Umbrella Review and Subgroup Meta-Analysis.

Numerous primary and secondary studies have consistently demonstrated that probiotics, including lactobacillus and Bifidobacterium, possess a potential anti-obesity effect. However, it is worth noting that some studies have yielded contrasting results. Considering this, our study aims to present a comprehensive overview of published systematic reviews and meta-analyses, focusing on the efficacy and safety of probiotics in managing obesity. To achieve this objective, we conducted an umbrella review following the PRISMA protocol and Cochrane guidelines. We searched databases such as Embase, PubMed, Cochrane Library, and Google Scholar for relevant systematic reviews and meta-analyses published in English, without imposing any date restrictions. Our inclusion criteria encompassed studies evaluating the anti-obesity impact of probiotics, with a specific focus on changes in body mass index (BMI), fat mass percentage (FMP), body weight (BW), and body fat mass (BFM). These studies were meticulously reviewed by two independent reviewers. Our analysis included five systematic reviews and 18 meta-analyses that met the predefined inclusion and exclusion criteria. The meta-analyses revealed statistically significant reductions in the following parameters: BMI, a decrease of 0.30kg/m2 (p < 0.00001, 95% CI - 0.36 to - 0.25); BFM, a reduction of 0.86kg (p < 0.00001, 95% CI - 1.02 to - 0.71); BW, a decrease of 0.59kg (p < 0.00001, 95% CI - 0.74 to - 0.44); and FMP, a substantial decline of 78% (p < 0.00001, 95% CI - 1.02 to - 0.54). In summary, our umbrella review suggests that existing evidence supports the potential benefits of probiotics in managing obesity and overweight. However, it is essential to acknowledge that the credibility of this evidence is somewhat limited due to the inclusion of studies with poor-quality designs and relatively small participant numbers. To establish the true efficacy of probiotics in obesity management, we recommend conducting robust studies involving larger participant cohorts.

Impact of multiple obesity metrics on hypertensive disorders of pregnancy: a meta-analysis and Mendelian randomisation study

BackgroundThe relationships between various obesity measures and hypertensive disorders of pregnancy (HDP) remain inadequately explored, and their causal links are not well understood. This study aims to clarify these associations...

Acute Effects of High-intensity Circuit Training Using Body Weight on Body Composition Indices in Sedentary Collegiate Females

High-intensity circuit training (HICT) has become increasingly popular for enhancing health and fitness. However, limited research exists on the effects of high-intensity circuit training using body weight (HICTBW) on body composition in sedentary young adults. This study aimed to explore the impact of a 4-week HICTBW program on body composition in sedentary collegiate females. A randomized controlled trial design was employed. Twenty sedentary collegiate females were randomly assigned to either a training group (n=10), which participated in a 4-week HICTBW program, or a control group (n=10), which did not engage in any training. Body composition was assessed using bioelectrical impedance analysis (r = 0.642 to 0.78), measuring body fat percentage, fat mass, muscle mass, waist-to-hip ratio, and body mass index (BMI). Repeated measure ANOVA was used to compare between and within groups. Although no significant differences in body composition variables were observed between pre- and post-training (p&amp;gt;0.05), slight positive changes were noted in all measured parameters. The lack of significant findings may be attributed to the short duration and frequency of the intervention. Future studies with extended training periods are recommended to better understand the potential impact of HICTBW on body composition in sedentary collegiate females. This research highlights the need for more comprehensive studies to validate the effectiveness of HICTBW in improving body composition among this population.

The Herbal Blend of Sphaeranthus indicus and Garcinia mangostana Reduces Adiposity in High-Fat Diet Obese Mice.

Obesity is swiftly becoming a global epidemic, leading to numerous metabolic disorders and substantial socio-economic burdens. Investigating natural bioactive compounds is crucial to support the use of traditional anti-obesity medications while mitigating the adverse effects. This study posited that a combination of Sphaeranthus indicus and Garcinia mangostana (Meratrim) could prevent fat accumulation in obese mice. We used 4-week-old C57BL/6NTac mice, dividing them into six groups: (1) normal diet (ND); (2) high-fat diet (HFD, 45% kcal from fat); (3-5) Meratrim150, Meratrim300, and Meratrim450 (HFD with 150, 300, and 450 mg/kg bw of Meratrim); and (6) Metformin (HFD with 150 mg/kg bw of metformin). Meratrim was administered orally each day for 20 weeks. The group receiving 450 mg/kg of Meratrim showed a significant reduction in body weight and fat mass without changes in food consumption. The Meratrim450 group had markedly lower triglyceride levels in both serum and liver. Importantly, Meratrim-supplemented mice improved lipid homeostasis by inhibiting hepatic de novo lipogenesis and activating energy catabolic pathways such as non-shivering thermogenesis in brown adipose tissue. Our results suggest that the herbal mixture of Sphaeranthus indicus and Garcinia mangostana (Meratrim) is a promising natural anti-obesity agent, owing to its efficacy in reducing body fat and enhancing lipid homeostasis.

Application of Bioelectrical Impedance Analysis in Weight Management of Children with Spina Bifida.

Children with spina bifida (SB) face an elevated risk of obesity, which necessitates precise methods for assessing body composition to ensure effective weight management. Conventional measures like BMI are inadequate for this population because of variations in growth patterns and skeletal structure. Bioelectrical impedance analysis (BIA) is a method that offers a clearer picture of body composition, yet its use in children with SB remains underexplored. Conducted on 57 children with SB and 28 healthy controls, with a median age of 11 years, this study evaluated anthropometrics, including BMI and BIA-derived metrics. The Hoffer's scale to assess physical activity was applied in SB children. Results showed that while 32% of SB patients were classified as overweight or obese based on BMI, 62% exhibited high body fat percentage via BIA. Fat-free mass, muscle and fat mass, and fat-to-muscle ratio (FMR) differed significantly compared to the reference group. Non-ambulators showed a higher median body fat mass percentage (25.9% vs. 17.8%, p = 0.01) and FMR (0.92 vs. 0.44, p = 0.003) in comparison to the community walkers. In SB children, BIA-measured fat mass is a better obesity indicator than BMI. Non-ambulatory, SB patients with obesity had the highest FMR values, indicating a higher risk for metabolic syndrome.

The effect of active vitamin D supplementation on body weight and composition: A meta-analysis of individual participant data

Background & aimsObesity is associated with vitamin D (VitD) deficiency. However, previous studies showed mixed effects of VitD (25-hydroxyVitD/calcidiol) supplementation on body weight. The biological actions of VitD require the hydroxylation of inactive VitD into active VitD (1.25-dihydroxyVitD/calcitriol). This step is highly regulated; therefore, supplementing with inactive VitD might not be sufficient to overcome the potential adverse health effects of VitD deficiency. The objective of this study was to conduct a systematic review and individual participant data (IPD) meta-analysis of data acquired from randomised placebo-controlled calcitriol trials (RCTs) to determine the effects of calcitriol on body weight and weight-related parameters. MethodsStudies were identified from MEDLINE, EMBASE, and CENTRAL databases up to January 27, 2024, and excluded those involving dialysis or cancer patients. We obtained IPD from eligible trials and assessed bias using the Cochrane Collaboration risk-of-bias tool and methodological quality using the Heyland Methodological Quality Score. The study was prospectively registered with PROSPERO (CRD42017076202). ResultsAlthough none of the studies reported information regarding our primary objective, we obtained IPD for 411 patients, with 206 randomised to receive calcitriol and 205 to placebo. This dataset enabled us to conduct an IPD meta-analysis with 17,084 person-months of follow-up (median: 11 months). Meta-analysis showed that calcitriol does not alter body weight, BMI, waist circumference, fat mass or lean body mass compared to placebo. Adjusting for age and sex did not alter the outcomes. ConclusionsIn conclusion, this systematic review and IPD meta-analysis indicate that calcitriol does not affect body weight in normal-weight postmenopausal women and lean patients with type 1 diabetes nor in people suffering from obesity, type 2 diabetes and chronic kidney disease. Whether calcitriol lowers body weight in VitD-sufficient people with obesity remains to be elucidated.

Beneficial Effect of Dietary Approaches to Stop Hypertension Diet Combined with Regular Physical Activity on Fat Mass and Anthropometric and Metabolic Parameters in People with Overweight and Obesity.

Obesity and overweight have become growing health-related issues worldwide, which also applies to Poland. Excess fat mass is associated with an increased risk of metabolic and non-metabolic complications. The aim of our pre-post-designed study was to assess the effect of behavioral intervention on body weight, fat mass and anthropometric and metabolic parameters in obese and overweight individuals. The study included one hundred people (85 women) with excess fat mass who voluntarily declared their willingness to participate in the weight-loss program consisted of 12 weeks of the DASH diet combined with regular, supervised physical activity. Anthropometric measurements and laboratory tests were performed in all study participants, and anthropometric and metabolic indices were calculated at baseline and after three months of treatment. Body weight decreased significantly by 5.63 ± 4.03 kg, BMI by 2.06 ± 1.44 kg/m2, waist circumference by 5.6 ± 3.7 cm, fat mass from 40.04 ± 6.90 to 36.56 ± 7.07% and uric acid level by 16.0 ± 41.6 μmol/L (p < 0.001 in all cases). We also found an improvement in lipid profile and anthropometric and metabolic indices, except for HDL cholesterol and plasma glucose levels. The effect of the DASH diet and supervised physical activity was beneficial regardless of age, sex and the presence of hypertension or dysglycemia at baseline. The implementation of a healthy lifestyle was associated with a significant improvement in anthropometric and metabolic parameters, which, if continued, may reduce the risk of unfavorable health-related outcomes in the future.

Major depression recurrence is associated with differences in obesity-related traits in women, but not in men.

Obesity-related cardiometabolic comorbidity is common in major depressive disorder (MDD). However, sex differences and MDD recurrence may modify the MDD-obesity-link. Sex-specific associations of MDD recurrence (single [MDDS] or recurrent episodes [MDDR]) and obesity-related traits were analyzed in 4.100 adults (51.6% women) from a cross-sectional population-based cohort in Germany (SHIP-Trend-0). DSM-IV-based lifetime MDD diagnoses and MDD recurrence status were obtained through diagnostic interviews. Obesity-related outcomes included anthropometrics (weight, body mass index, waist- and hip-circumference, waist-to-hip ratio, waist-to-height ratio), bioelectrical impedance analysis of body fat mass and fat-free mass, and subcutaneous (SAT) and visceral adipose tissue (VAT) from abdominal magnetic resonance imaging. Sex-stratified linear regression models predicting obesity-related traits from MDD recurrence status were adjusted for age, education, and current depressive symptoms. 790 participants (19.3%) fulfilled lifetime MDD criteria (23.8% women vs. 14.5% men, p<0.001). In women, MDDS was inversely associated with anthropometric indicators of general and central obesity, while MDDR was positively associated with all obesity-related traits, except waist-to-hip ratio and fat-free mass. In women, MDDR versus MDDS was associated with higher levels of obesity across all outcomes except fat-free mass. In men, MDD was positively associated with SAT regardless of MDD recurrence. Additionally, lifetime MDD was positively associated with VAT in men. Results remained significant in sensitivity analyses after exclusion of participants with current use of antidepressants. The MDD-obesity association is modified by MDD recurrence and sex independent of current depressive symptoms. Accounting for sex and MDD recurrence may identify individuals with MDD at increased cardiometabolic risk.

Liraglutide prevents body and fat mass gain in ovariectomized Wistar rats

Estrogens exert beneficial metabolic effects by reducing food intake and enhancing energy expenditure through both central and peripheral mechanisms. The decrease of estrogen, as occurs in ovariectomy (OVX), leads to metabolic disturbances, such as increased body weight, adipose tissue mass, basal blood glucose, and impaired glucose tolerance. These effects can be reversed by reintroducing estrogen. GLP-1 and its receptor agonists, known for their antihyperglycemic properties, also exhibit anorexigenic effects. Besides that, research indicates that GLP-1 analogs can induce metabolic changes peripherally, such as increased fatty acid oxidation and inhibited lipogenesis. Given the shared metabolic actions of GLP-1 and estrogens, we explored whether liraglutide, a GLP-1 agonist, could mitigate the metabolic effects of estrogen deficiency. We tested this hypothesis using ovariectomized rats, a model that simulates menopausal estrogen deficiency, and treated them with either liraglutide or 17β-Estradiol benzoate for 21 days. Ovariectomy resulted in elevated DPP-IV activity in both plasma and inguinal white adipose tissue (iWAT). While estrogen replacement effectively countered the DPP-IV increase in both plasma and iWAT, liraglutide only prevented the rise in iWAT DPP-IV activity. Liraglutide prevented body weight and fat mass gain after ovariectomy to the same extent as estradiol treatment. This can be explained by the lower food intake and food efficiency caused by estradiol and liraglutide. However, liraglutide was associated with increased pro-inflammatory cytokines and inflammatory cells in white adipose tissue. Further research is crucial to fully understand the potential benefits and risks of using GLP-1 receptor agonists in the context of menopause.

Characterizing Human Peripheral Blood Lymphocyte Phenotypes and Their Correlations with Body Composition in Normal-Weight, Overweight, and Obese Healthy Young Adults.

Background and Objectives: Obesity-associated chronic low-grade inflammation supports various systemic alterations. In this descriptive study, 122 apparently healthy adults aged 20 to 35 years were voluntarily included and classified based on body mass index (BMI) as normal-weight (NW), overweight (OW), and obese (OB). This study aims to characterize peripheral blood (PB) lymphocyte (Ly) phenotypes and investigate their correlations with body composition indices (BCIs) in healthy young adults. Materials and Methods: The following BCIs were measured: waist circumference, hip circumference, height, waist-to-hip ratio, waist-to-height ratio, total body fat mass, visceral fat level, weight, and BMI. White blood cell count (WBC), Ly absolute count, serum TNF-α, and IFN-γ were quantified. Ly subpopulations were analyzed as follows: total TLy (TTLy-CD45+CD3+), early activated TLy (EATLy-CD45+3+69+), total NKLy (TNKLy-CD45+CD3-CD56+CD16+), NKdim (low expression of CD56+), NKbright (high expression of CD56+), BLy (CD45+CD3-CD19+), T helper Ly (ThLy-CD45+CD3+CD4+), and T cytotoxic Ly (TcLy-CD45+CD3+CD8+). Results: Higher BMI has significantly higher WBC and BLy (p < 0.0001; p = 0.0085). EATLy significantly decreased from NW to OB (3.10-NW, 1.10-OW, 0.85-OB, p < 0.0001). Only EATLy exhibited significant negative correlations with all the BCIs. A significantly higher TNF-α was observed in the OW and OB groups compared to the NW group. IFN-γ increased linearly but nonsignificantly with BMI. TTLy showed a nonsignificant positive correlation with both IFN-γ and TNF-α, while EATLy showed a negative correlation, significant only for IFN-γ. NKLy subpopulations exhibited a consistent negative correlation with TNF-α, significant only for NKdim (p = 0.0423), and a nonsignificant consistent positive correlation with IFN-γ. A nonsignificant negative correlation between age and both TNKLy (r = -0.0927) and NKdim (r = -0.0893) cells was found, while a positive correlation was found with NKbright (r = 0.0583). Conclusions: In conclusion, the baseline immunological profile of PB is influenced by excessive adipose tissue in healthy young adults.

Frequent Unrecognized Vertebral Fractures Associated with Increased Body Fat Mass in Children and Adolescents with Duchenne Muscular Dystrophy.

Patients with Duchenne muscular dystrophy (DMD) have an increased risk of vertebral fractures (VFs). Ethnic variations may partly contribute to the fracture risk. This study aimed to demonstrate the VFs and body fat mass in Asian patients with DMD. Demographic data and DMD-related parameters of the enrolled patients were collected. Lateral thoracolumbar spine radiographs were performed for VF assessment. Genant classification was applied for VF severity grading (mild, moderate and severe). Body composition analysis using dual-energy X-ray absorptiometry was performed. Serum calcium, phosphate, intact parathyroid hormone and 25-hydroxyvitamin D concentrations were determined. There were 25 children and adolescents with DMD enrolled. Median (IQR) age was 12.9 (9.6, 19.3) years. Nine patients (36%) had VFs with a total of 31 sites of VFs (mild, N=10; moderate, N=3 and severe, N=18). These VFs had never been recognized prior to this study. Comparing with the non-VF group, the VF group received a significantly greater cumulative prednisolone equivalent dose (1,258 (948, 1,664) vs. 291 (17, 823) mg/kg, p=0.003). Body fat mass, represented by fat mass index and body fat percentage Z-scores was greater in the VF group [2.46 (2.21, 2.51) vs. 1.63 (0.36, 2.07), p=0.011 and 4.4 (3.1, 5.5) vs. 1.8 (0.6, 3.5), p=0.008, respectively]. No differences in serum calciotropic hormones and vitamin D status were demonstrated between patients with and without VFs. VFs were frequent in patients with DMD. Patients with VFs had greater cumulative glucocorticoid dose and body fat mass than those without VFs.

Machine Learning Approach for Predicting Hypertension Based on Body Composition in South Korean Adults.

(1) Background: Various machine learning techniques were used to predict hypertension in Korean adults aged 20 and above, using a range of body composition indicators. Muscle and fat components of body composition are closely related to hypertension. The aim was to identify which body composition indicators are significant predictors of hypertension for each gender; (2) Methods: A model was developed to classify hypertension using six different machine learning techniques, utilizing age, BMI, and body composition indicators such as body fat mass, lean mass, and body water of 2906 Korean men and women; (3) Results: The elastic-net technique demonstrated the highest classification accuracy. In the hypertension prediction model, the most important variables for men were age, skeletal muscle mass (SMM), and body fat mass (BFM), in that order. For women, the significant variables were age and BFM. However, there was no difference between soft lean mass and SMM; (4) Conclusions: Hypertension affects not only BFM but also SMM in men, whereas in women, BFM has a stronger effect than SMM.

Evaluating the efficacy of intermittent fasting and exercise combinations for weight loss: A network meta-analysis.

The purpose of this study is to utilize network meta-analysis (NMA) to synthesize relevant randomized controlled trials (RCTs) and evaluate the most effective intermittent fasting (IF) combined with exercise interventions for weight loss. This study searched five databases up until April 2024, obtaining RCTs that investigated the effects of intermittent fasting (IF) combined with exercise. The quality of the literature was assessed using the Cochrane tool, followed by a random-effects statistical analysis of each intervention. Eventually, a NMA was conducted to compare the effectiveness of each intervention on weight loss, thereby determining their combined effectiveness on reducing weight. A total of nine trials, comparing 12 interventions involving 570 participants, were included. All interventions significantly reduced body weight (BW) and fat mass (FM) compared to the control (CON) group. In terms of BW reduction, the alternate-day fasting + moderate-intensity continuous training (ADF + MICT) intervention had the highest surface under the cumulative ranking curve average (SUCRA) score 88.1(MD: -4.44,95% CI -5.95, -2.92). Furthermore, for improving FM, the ADF + MICT intervention also had the highest SUCRA score 92.7(MD: -3.65,95% CI -5.05, -2.25), making it the optimal intervention for improving FM. The NMA results indicate that all interventions are effective in reducing weight. Among them, ADF + MICT is the most effective strategy for reducing BW, and it is also the best approach for improving FM.