Differences in sarcopenia indices in elderly Japanese women and their relationships with obesity classified according to waist circumference, BMI, and body fat percentage.

BACKGROUND: Sarcopenic obesity (SO) is defined as a decrease in lean body mass and an increase in body fat mass (BFM) due to aging. Detecting SO in elderly women is important from the perspective of extending healthy life expectancy. While various indices of SO are currently used, there is no global consensus regarding diagnostic criteria for SO. This study aimed to examine the relationship between obesity indices (waist circumference (WC), body mass index (BMI), and body fat percentage (BFP)) and sarcopenia indices (total body muscle mass (TBM), appendicular lean mass (ALM), skeletal mass index (SMI)), and physical function (gait speed (GS), handgrip strength (HGS)). METHODS: Subjects were 170 community-dwelling healthy elderly women aged 65-79 years (mean: 72.7 ± 5.78 years) who underwent measurements for WC, BMI, and BFP. A WC of ≥ 90cm was defined as the obese group, BMI was determined as weight (kg) divided by height squared (m2) and a cutoff of ≥ 25 kg/m2 was used to define the obesity group. BFM was measured using the bioelectrical impedance analysis (BIA) method and BFP was calculated from body weight and a cutoff of ≥ 30% was used to define the obesity group. TBM and ALM (kg) were measured using the BIA method, ALM (kg) was corrected for height (m2) to obtain SMI (kg/m2). Physical function was assessed by GS and HGS, which were measured by the 5-m walk test and a digital grip strength meter, respectively. RESULTS: When obesity was assessed using BMI, WC and BFP, obese individuals had higher TBM, ALM and SMI, and lower GS among the sarcopenia indicators. HGS did not differ significantly between the non-obese and obese groups. CONCLUSION: Our findings suggest HGS is thought to reflect muscle strength without being affected by obesity indices, suggesting that it may be useful in detecting possible sarcopenia in obese individuals.

Cardiorespiratory Fitness and Cardiometabolic Risk Factors in Children and Adolescents From Southwest Colombia: Association Patterns Considering Adiposity.

BACKGROUND: Little is known about the cardiorespiratory fitness (CRF)-cardiometabolic risk relationship in Latin American pediatric populations across different age/sex groups, especially when considering the potential effects of adiposity on the association. We evaluated cross-sectional associations between VO2max and cardiometabolic risk variables (CMRV), and verified whether the associations were independent of adiposity markers in school-aged children and adolescents from Cali, Colombia. METHODS: The sample consisted of 1206 children aged 5-17 years. CMRV were fasting glucose, HDL and LDL cholesterol, triglycerides, systolic, and diastolic pressure. Logistic regressions were conducted for associations of age/sex-specific tertiles of VO2max with age/sex-specific highest tertiles of CMRV (except HDL-C, lowest tertile) and a CMR cluster (> 2 CMRV in extreme tertiles), adjusting for socioeconomic stratum, and adiposity markers (BMI, body fat percentage, and waist circumference). RESULTS: Overweight/obesity ranged from 15% to 18% with no difference by sex. In children aged 5-11 years, high VO2max (highest tertile vs. lowest) was inversely associated with the CMR cluster [Odds ratio (95% confidence interval): 0.18 (0.06-0.47), p < 0.05] independently of adjustment for any adiposity marker in boys but not in girls. In the age group of 12-17 years, there were initially significant VO2max- CMR cluster and VO2max- CMRV associations but attenuated by adiposity adjustment. In girls, high VO2max was inversely associated with high systolic blood pressure regardless of adjustment for adiposity markers. CONCLUSION: VO2max is inversely associated with cardiometabolic risk, but adiposity influences the association. The adiposity-independent association among younger boys requires further research. Interventions to tackle cardiometabolic risk in childhood may primarily focus on reducing excess adiposity, and secondarily on improvement of CRF.

Association of multiple urinary metals/metalloids with obesity defined by body fat percentage: A cross-sectional study among Guangxi Zhuang ethnic in China.

BACKGROUND: Previous studies confirmed a link between urinary metals/metalloids and obesity; however, the majority of these studies defined obesity using body mass index (BMI) or waist circumference (WC), and their results were not constantly consistent. Studies defining obesity based on body fat percentage (BFP) is less reported. METHODS: A total of 5405 participants aged 35-74 from Guangxi Zhuang ethnic group in China were included in the analysis. Inductively coupled plasma mass spectrometry (ICP-MS) was used to detect the concentrations of 22 metals/metalloids in urine. Using a binary logistic regression model, the impact of individual metal/metalloid on the risk of BFP/obesity was analyzed, and the LASSO regression model was employed to choose metals/metalloids independently related with BFP/obesity to construct a multiple-metal models. The quantile g-computation model was used to evaluate the combined impacts of metals/metalloids on BFP/obesity. RESULTS: In multiple-metal models, compared with the lowest quartile, the highest quartile of urinary concentrations of Mg, Cd, and Ti was significantly associated with a reduced risk of BFP/obesity (Mg: OR=0.66, 95 %CI: 0.51, 0.85; Cd: OR=0.63, 95 %CI: 0.49, 0.82; Ti: OR=0.73, 95 %CI: 0.57, 0.93). Conversely, the highest quartiles of urinary concentrations of Zn, V, and Sb was significantly associated with an increased risk of BFP/obesity (Zn: OR=1.75, 95 %CI: 1.39, 2.22; V: OR=1.63, 95 %CI: 1.25, 2.14; Sb: OR=1.38, 95 %CI: 1.06, 1.79). In quantile g-computation analysis, Mg, Cd, and Sn were the main contributors to negative effects, while Zn, V, and Sb were the main contributors to positive effect, although no significant relationship was observed between the multiple metal/metalloid mixtures and BFP/obesity. CONCLUSIONS: According to our study, urinary Mg, Cd, and Ti levels were negatively associated with BFP/obesity risk, and Zn, V, and Sb levels were positively associated with BFP/obesity risk. However, these associations need to be further verified by longitudinal studies, and the molecular mechanisms need to be further explored by animal and cell experiments.

Association between community walkability and hypertension: Evidence from the Wuhan Chronic Disease Cohort Study.

While community walkability is recognized as a key environmental factor for health status, evidence linking it specifically to hypertension is rather limited. To fill the knowledge gap, we concluded a cross-sectional study among 6421 eligible participants from the Wuhan Chronic Disease Cohort. A well-developed algorithm was performed to evaluate community walkability across Wuhan, quantified as Walk Score. We then calculated each participant residential Walk Score using the geographic information system. The logistic and linear regression models were conducted to determine the relationship between walkability, hypertension and blood pressure, respectively. We further performed the mediation analysis to explore potential mechanisms. After adjusting for extra confounders, we observed a higher community walk score was associated with a lower hypertension risk (OR = 0.73; 95% CI: 0.63, 0.84), a lower systolic blood pressure (ß = -3.152 mmHg; 95% CI: -4.25, -2.05), a lower diastolic blood pressure (ß = -2.237 mmHg; 95% CI: -2.95, -2.53) and a lower mean arterial pressure (ß = -2.976 mmHg; 95% CI: -3.75, -2.20). The effect of community walkability on hypertension was partially mediated by body fat rate. Our study indicates a positive correlation between high walkability and a reduced odds of hypertension in China. This highlights the potential role of urban design in hypertension prevention, emphasizes the need for walkability-focused planning strategies to foster healthier communities, and guides future interventions and research to mitigate hypertension.

Blunted food conditioned place preference-like behavior in adolescent-stressed male hamsters.

Social stress during adolescence results in long lasting weight gain, obesity, and enhanced food hoarding behavior in hamsters. We wanted to determine whether stress also enhanced conditioned place preference-like behavior (CPP-like) for food reward, as would be expected from studies with substances like cocaine. Our experimental animals were exposed daily to aggressive adults for two weeks in early puberty, while also trained to explore a V-shaped maze containing a food reward at one end. They were tested for CPP-like behavior on the last day of social stress. Our results showed that while stress enhanced weight gain, food intake, food efficiency, and body fat, it caused a reduction of Place Preference as compared to controls. In fact, the correlated relationship between Place Preference and body fat was inverted by stress exposure: while it was positively correlated in controls, it was mildly negatively correlated in stressed hamsters. These unexpected data illustrate the extent of adaptive behavior in foraging animals once a resource has become untrustworthy.

Do patients with acne tend to have increased body fat? Comparison of body composition analysis of patients with acne vulgaris and healthy individuals: a prospective case control study.

BACKGROUND: Acne vulgaris is a chronic, inflammatory skin disease which has been associated with metabolic syndrome and obesity. However, data on body composition in patients with acne vulgaris are scarce. AIM: We aimed to assess body composition in patients with acne vulgaris, compare the results with those of healthy individuals, and evaluate the relationship between body composition and acne severity. METHODS: Between March 2023 and May 2023, body composition of patients with acne vulgaris and healthy individuals was prospectively evaluated using Tanita TBF-300 body composition analyzer. RESULTS: This study included a total of 320 subjects, 160 patients with acne vulgaris and 160 healthy individuals. Body mass index (BMI), body fat percentage and fat mass were significantly higher in patients with acne vulgaris compared to healthy individuals (p < 0.001, each). BMI, body fat percentage and fat mass were significantly higher in female patients compared to healthy females (p < 0.001, each), higher in male patients compared to healthy males (p = 0.001, p < 0.001, p < 0.001, respectively). BMI (p = 0.006), fat free body mass (p < 0.001) and total body water (p < 0.001) were higher in male patients, while body fat percentage (p < 0.001) was higher in female patients. Patients with moderate to severe acne had higher BMI (p < 0.001), body fat percentage (p = 0.001) and fat mass (p < 0.001) than in those with mild acne. CONCLUSION: Since high body fat may indicate increased risk and severity of acne, body composition analysis may be useful in treating patients with acne and taking preventive measures against metabolic syndrome in this population.

Effects of Supplementation with Omega-3 and Omega-6 Polyunsaturated Fatty Acids and Antioxidant Vitamins, Combined with High-Intensity Functional Training, on Exercise Performance and Body Composition: A Randomized, Double-Blind, Placebo-Controlled Trial.

The aim of this study was to investigate the effects of a supplement rich in ω-3 and ω-6 polyunsaturated fatty acids (PUFAs) and antioxidant vitamins on physical performance and body composition following a period of high-intensity functional training (HIFT). Nineteen healthy young adults (nine males, ten females) underwent an 8-week HIFT program (3 days·week-1) where they were randomized 1:1 into either the supplement group (SG)-n = 10, receiving a 20 mL daily dose of a dietary cocktail formula (Neuroaspis™ PLP10) containing a mixture of ω-3 and ω-6 PUFAs (12,150 mg), vitamin A (0.6 mg), vitamin E (22 mg), and γ-tocopherol (760 mg)-or the placebo group (PG)-n = 9, receiving a 20 mL daily dose of virgin olive oil. Body composition, cardiorespiratory fitness, muscle strength, and muscle endurance were assessed before and after the training period. Body mass did not change, but muscle mass increased by 1.7 ± 1.9% or 0.40 ± 0.53 kg in the SG (p = 0.021) and decreased by 1.2 ± 1.6% or 0.28 ± 0.43 kg (p = 0.097) in the PG, compared with baseline. VO2max, vertical jump, squat 1RM, bench press 1RM, and muscle endurance increased similarly in both groups. The effects of HIFT on physical performance parameters, muscle damage, and inflammation indices were not affected by the supplementation. In conclusion, HIFT combined with high doses of ω-3 and ω-6 PUFAs and antioxidant vitamins resulted in a small but significant increase in muscle mass and fat reduction compared with HIFT alone.

Effects of Different Exercises Combined with Different Dietary Interventions on Body Composition: A Systematic Review and Network Meta-Analysis.

BACKGROUND: Exercise and dietary interventions are essential for maintaining weight and reducing fat accumulation. With the growing popularity of various dietary strategies, evidence suggests that combining exercise with dietary interventions offers greater benefits than either approach alone. Consequently, this combined strategy has become a preferred method for many individuals aiming to maintain health. Calorie restriction, 5/2 intermittent fasting, time-restricted feeding, and the ketogenic diet are among the most popular dietary interventions today. Aerobic exercise, resistance training, and mixed exercise are the most widely practiced forms of physical activity. Exploring the best combinations of these approaches to determine which yields the most effective results is both meaningful and valuable. Despite this trend, a comparative analysis of the effects of different exercise and diet combinations is lacking. This study uses network meta-analysis to evaluate the impact of various combined interventions on body composition and to compare their efficacy. METHODS: We systematically reviewed literature from database inception through May 2024, searching PubMed, Web of Science, Embase, and the Cochrane Library. The study was registered in PROSPERO under the title: "Effects of Exercise Combined with Different Dietary Interventions on Body Composition: A Systematic Review and Network Meta-Analysis" (identifier: CRD42024542184). Studies were meticulously selected based on specific inclusion and exclusion criteria (The included studies must be randomized controlled trials involving healthy adults aged 18 to 65 years. Articles were rigorously screened according to the specified inclusion and exclusion criteria.), and their risk of bias was assessed using the Cochrane risk of bias tool. Data were aggregated and analyzed using network meta-analysis, with intervention efficacy ranked by Surface Under the Cumulative Ranking (SUCRA) curves. RESULTS: The network meta-analysis included 78 randomized controlled trials with 5219 participants, comparing the effects of four combined interventions: exercise with calorie restriction (CR+EX), exercise with time-restricted eating (TRF+EX), exercise with 5/2 intermittent fasting (5/2F+EX), and exercise with a ketogenic diet (KD+EX) on body composition. Intervention efficacy ranking was as follows: (1) Weight Reduction: CR+EX > KD+EX > TRF+EX > 5/2F+EX (Relative to CR+EX, the effect sizes of 5/2F+EX, TRF+EX and KD+EX are 2.94 (-3.64, 9.52); 2.37 (-0.40, 5.15); 1.80 (-1.75, 5.34)). (2) BMI: CR+EX > KD+EX > 5/2F+EX > TRF+EX (Relative to CR+EX, the effect sizes of 5/2F+EX, TRF+EX and KD+EX are 1.95 (-0.49, 4.39); 2.20 (1.08, 3.32); 1.23 (-0.26, 2.71)). (3) Body Fat Percentage: CR+EX > 5/2F+EX > TRF+EX > KD+EX (Relative to CR+EX, the effect sizes of 5/2F+EX, TRF+EX and KD+EX are 2.66 (-1.56, 6.89); 2.84 (0.56, 5.13); 3.14 (0.52, 5.75).). (4) Lean Body Mass in Male: CR+EX > TRF+EX > KD+EX (Relative to CR+EX, the effect sizes of TRF+EX and KD+EX are -1.60 (-6.98, 3.78); -2.76 (-7.93, 2.40)). (5) Lean Body Mass in Female: TRF+EX > CR+EX > 5/2F+EX > KD+EX (Relative to TRF+EX, the effect sizes of CR+EX, 5/2F+EX and KD+EX are -0.52 (-2.58, 1.55); -1.83 (-4.71, 1.04); -2.46 (-5.69,0.76).). CONCLUSION: Calorie restriction combined with exercise emerged as the most effective strategy for reducing weight and fat percentage while maintaining lean body mass. For women, combining exercise with time-restricted eating proved optimal for preserving muscle mass. While combining exercise with a ketogenic diet effectively reduces weight, it is comparatively less effective at decreasing fat percentage and preserving lean body mass. Hence, the ketogenic diet combined with exercise is considered suboptimal.

Comparison of four quick and reliable methods of assessing body fat appropriate for clinical settings among young, middle-age, and older healthy male and female adults.

[Purpose] Compare four quick (approximately 60 s), reliable methods of assessing %body-fat (%BF) among young (Y, 18-34 years), middle-age (M, 35-59 years), and older (O, 60-88 years) healthy-adults. [Participants and Methods] One-hundred-eighty healthy males-and-females were equally (n=30) divided into Y, M, and O age groups to assess %BF. The %BF methods were: 1) Bioelectrical-impedance-Inbody770 (IB)-criterion reference; 2) Body-mass-index (BMI); 3) Abdominal-and-hip circumferences (CIR); and 4) Skinfold (SF). [Results] %BF were significantly different among the four body-fat methods and among the three age-groups for both males-and-females. %BF among IB,BMI,CIR, and SF were, respectively, 15.7 ± 4.7%, 19.6 ± 3.2%, 17.3 ± 3.5%, and 12.1 ± 4.1% for Y-males; 18.3 ± 5.7%, 22.8 ± 3.6%, 19.6 ± 3.6%, and 15.6 ± 4.5% for M-males; 24.4 ± 6.5%, 25.8 ± 3.3%, 24.0 ± 4.5%, and 20.0 ± 4.1% for O-males; 24.9 ± 6.9%, 28.9 ± 4.1%, 29.4 ± 4.6%, and 22.4 ± 6.3% for Y-females; 25.1 ± 7.0%, 31.4 ± 4.7%, 33.0 ± 4.5%, and 25.0 ± 4.5% for M-females; 35.1 ± 6.3%, 35.5 ± 4.3%, 38.4 ± 4.8%, and 26.4 ± 3.7% for O-females. [Conclusion]The most accurate %BF-methods to use in clinical settings are CIR for Y-and-M-males, CIR and BMI for O-males, SF for Y-and M-females, and BMI for O-females. The least accurate %BF methods are BMI and SF for Y-males, BMI for M-males, SF for O-males, BMI and CIR for Y-and M-females, and SF for O-females. While all 4-methods of assessing %BF can easily and quickly be employed in clinical settings, some methods significantly underestimate or overestimate %BF and yield different results among varying age groups and sex. These findings help identify people at early health risk of cardiometabolic disease, with O-males and O-females at higher risk.

Agreement Between Bioelectrical Impedance Analysis and Dual-Energy X-ray Absorptiometry to Estimate Fat Mass in Hispanic Adults With Type 2 Diabetes Mellitus: A Cross-Sectional Study.

Background: Adipose tissue excess is associated with adverse health outcomes, including type 2 diabetes. Body mass index (BMI) is used to evaluate obesity but is inaccurate as it does not account for muscle mass, bone density, and fat distribution. Accurate measurement of adipose tissue through dual-energy X-ray absorptiometry (DXA) and computed axial tomography (CT) is crucial for managing and monitoring adiposity-related diseases. Still, these are not easily accessible in most hospitals in Mexico. Bioelectrical impedance analysis (BIA) is non-invasive and low-cost but may not be reliable in conditions affecting the body's hydration status, like diabetes. Objectives: To assess fat mass concordance between BIA and DXA in Hispanic-American adults with type 2 diabetes mellitus (T2DM). Methods: Cross-sectional study of a non-probabilistic sample of subjects over 18 years with type 2 diabetes. We used DXA as the reference method. Results: We evaluated the accuracy of FM estimation through BIA and DXA in 309 subjects with type 2 diabetes. Results showed a trend of overestimating the diagnosis of obesity using BIA, especially in individuals with a higher fat mass index (FMI). At the group level, we found BIA accurate; however, at the individual level, it is not. The bias between the 2 methods showed a statistically significant overestimation of body fat by BIA (P ⩽ .01) in both sexes. BIA demonstrated high precision in estimating fat mass. We were able to provide a correction factor of 0.55 kg in men. Conclusion: BIA is inaccurate compared to DXA for body composition assessment in patients with diabetes. Inaccurate measurements can result in misclassification. However, BIA is precise for body composition assessment in patients with diabetes, so it is reliable for tracking patient progress over time.

Agreement between bioelectrical impedance analysis and dual-energy X-ray absorptiometry to estimate fat mass in adults with type 2 Diabetes Mellitus This study compares 2 methods for measuring body composition in patients with diabetes in Mexico. The first method is Bioelectrical Impedance Analysis (BIA), which is non-invasive, low-cost, and easy to use but may not be reliable in conditions that affect the body's hydration status, like diabetes. The second method is Dual-energy X-ray Absorptiometry (DXA), which is more accurate but less easily accessible. The study was a cross-sectional evaluation of 309 participants over 18 years with type 2 diabetes mellitus (T2DM) by HbA1C levels. The present study found BIA to be precise for body composition assessment but not accurate compared to DXA as the reference method. The study showed a trend of overestimating the diagnosis of obesity using BIA, especially in individuals with a higher fat mass index. This study found BIA is accurate at the group level but not at the individual level. The bias between the 2 methods showed a statistically significant overestimation of body fat by BIA. We provided a correction factor of 0.55 kg in men but not women. BIA is not ideal for diagnosing obesity but is reliable for tracking patient progress over time.

Exploring the reciprocal relationships between body image flexibility and body fat and muscularity dissatisfaction: An 18-month longitudinal study in Chinese adolescents.

Body image flexibility has shown robust negative associations with body dissatisfaction. However, research in this area is confined to cross-sectional studies on adults in Western cultural contexts. Responding to these gaps and the unique cultural nuances and increasing prevalence estimates of body dissatisfaction in China, we examined the bi-directional nature of body image flexibility and body fat and muscularity dissatisfaction in Chinese adolescent boys and girls (N = 1381, 57.3 % girls) at two points over 18 months (Wave [W] 1=baseline, W2=18 months later). We also explored sex differences in longitudinal models. In boys, higher W1 body image flexibility was associated with lower W2 body fat dissatisfaction, and higher W1 body fat dissatisfaction was associated with lower W2 body image flexibility. Null prospective associations between body image flexibility and muscularity dissatisfaction were identified in boys. In girls, higher W1 body fat and muscularity body dissatisfaction were associated with lower W2 body image flexibility. Higher W1 body image flexibility was associated with lower W2 body fat and muscularity dissatisfaction in girls. We found no significant sex differences in the models. Findings advance a multicultural understanding of the temporal and bi-directional links between body image flexibility and body fat and muscularity dissatisfaction in Chinese adolescents.

Associations among motor competence, health-related fitness, and physical activity in children: A comparison of gold standard and field-based measures.

This study compared the associations among motor competence, health-related fitness, and physical activity measured by gold standard and field-based methods in children. A total of 248 first-grade children (153 boys) aged 6-7 years participated in the study. Motor competence was assessed using the Test of Gross Motor Development, Second Edition (TGMD -2). Gold standard measures were percent body fat using dual-energy X-ray absorptiometry, peak oxygen uptake per weight using a gas analyser, and moderate-to-vigorous physical activity using accelerometers. Field-based measures were body mass index, maximum speed during progressive running on a treadmill, and a physical activity questionnaire. Multiple regression analysis adjusted for age and sex was used to examine the associations of motor competence with one of the health-related variables and compared differences by measurement method. The results indicated that field-based measures models showed lower associations (R2 = 0.02-0.17) than the gold standard (R2 = 0.21-0.27) and lower standardised regression coefficients for sex and motor competence, except for maximum speed. In conclusion, gold standard measures resulted in stronger associations between motor competence, and health-related fitness and physical activity in children. Examining the contribution of motor competence in children's health using field-based tests can underestimate it.

Abdominal obesity is associated with increased worsening renal function risk in patients with heart failure with preserved ejection fraction.

BACKGROUND: Worsening renal function (WRF) is a frequent comorbidity of heart failure with preserved ejection fraction (HFpEF). However, its relationship with abdominal obesity in terms of HFpEF remains unclear. This study aimed to evaluate the value of waist circumference (WC) and body mass index (BMI) in predicting WRF and examine the correlation between abdominal obesity and the risk of WRF in the HFpEF population. METHODS: Data were obtained from the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist trial. Abdominal obesity was defined as WC ≥ 102 cm for men and ≥ 88 cm for women. WRF was defined as doubling of serum creatinine concentration from baseline. Restricted cubic splines and receiver operating characteristic curves were used to evaluate the value of WC and BMI in predicting WRF. Cumulative incidence curves and cox proportional-hazards models were used to compare patients with and without abdominal obesity. RESULTS: We included 2,806 patients with HFpEF in our study (abdominal obesity, n: 2,065). Although baseline creatinine concentrations did not differ, patients with abdominal obesity had higher concentrations during a median follow-up time of 40.9 months. Unlike BMI, WC exhibited a steady linear association with WRF and was a superior WRF predictor. Patients with abdominal obesity exhibited a higher risk of WRF after multivariable adjustment (hazard ratio: 1.632; 95% confidence interval: 1.015-2.621; P: 0.043). CONCLUSIONS: Abdominal obesity is associated with an increased risk of WRF in the HFpEF population. TRIAL REGISTRATION: URL: https://beta. CLINICALTRIALS: gov . Unique identifier: NCT00094302.

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.

The Effects of Body Cold Exposure (Cryolipolysis) on Fat Mass and Plasma Cholesterol.

INTRODUCTION: This study investigates the impact of cryolipolysis on reducing localized fat and altering plasma lipid profiles in 30 overweight and obese women. Conducted at the Health Technology Laboratory of the Evangelical University of Goiás, this clinical research adhered to stringent ethical guidelines. METHODS: Participants underwent three cryolipolysis sessions, with comprehensive assessments of body composition and plasma lipids performed pre- and post-intervention. RESULTS: Significant findings include a reduction in abdominal fat mass by an average of 4.1 kg and a decrease in BMI by 0.7 points (p < 0.05). Notably, total cholesterol levels decreased by an average of 15.7 mg/dL, and LDL cholesterol saw a reduction of 10.2 mg/dL (p < 0.01), with no significant changes in HDL cholesterol or triglyceride levels. These results suggest that cryolipolysis, in conjunction with standardized dietary control, offers a non-invasive alternative to surgical fat reduction, potentially mitigating cardiovascular risks associated with obesity. CONCLUSIONS: The study confirms the efficacy of cryolipolysis in targeted fat reduction and underscores its role in improving key cardiovascular risk factors. These findings warrant further exploration into the long-term benefits of cryolipolysis in metabolic health management and not only for aesthetic treatments.

The Clínica Universidad de Navarra-Body Adiposity Estimator index is a reliable tool for screening metabolic dysfunction-associated steatotic liver disease: an analysis from a gender perspective.

BACKGROUND: The Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) Index, serves as an effective tool for evaluating body fat (BF) levels. This research seeks to clarify the association between the CUN-BAE Index and metabolic dysfunction-associated steatotic liver disease (MASLD) from a gender perspective. METHODS: The study utilized data from a comprehensive health assessment initiative known as "Human Dock", involving 14,251 participants. MASLD was diagnosed using abdominal ultrasound, primarily evaluated based on the following sonographic features: hepatorenal echo contrast, vascular blurring, deep attenuation, liver brightness. First, we evaluated the association of MASLD with the CUN-BAE Index using multivariate logistic regression. Second, we visualized this association and estimated potential threshold effect points using the restricted cubic spline (RCS) regression model. Ultimately, we evaluated the ability of the CUN-BAE Index to detect MASLD through receiver operating characteristic (ROC) curves. RESULTS: The female-to-male ratio was 1:1.08, with a MASLD prevalence rate of 17.59%. Following the adjustment for confounding variables, an increase of one unit in the CUN-BAE Index corresponded to a 14% increase in the risk of MASLD for males and an 18% increase for females. RCS analysis revealed an S-shaped relationship between MASLD prevalence and the CUN-BAE Index for both genders, with potential threshold effect points at approximately 30 in females and 15 in males. Beyond these threshold points, the prevalence of MASLD increased rapidly. Further subgroup analyses indicated significant differences in the relationship of the CUN-BAE Index with MASLD within age and body mass index (BMI) subgroups in females, with a stronger association observed in younger and non-obese female participants. Additionally, ROC analysis revealed that the CUN-BAE Index possesses a strong ability to distinguish MASLD in both genders, especially in females. CONCLUSIONS: This research is the first to identify a positive relationship between the CUN-BAE Index and MASLD. The CUN-BAE Index appears to be more suitable for early screening of MASLD in females.

Prediction of presence and severity of metabolic syndrome using regional body volumes measured by a multisensor white-light 3D scanner and validation using a mobile technology.

Aims: To test whether an index based on the combination of demographics and body volumes obtained with a multisensor 3D body volume (3D-BV) scanner and biplane imaging using a mobile application (myBVI®) will reliably predict the severity and presence of metabolic syndrome (MS). Methods and results: We enrolled 1280 consecutive subjects who completed study protocol measurements, including 3D-BV and myBVI®. Body volumes and demographics were screened using the least absolute shrinkage and selection operator to select features associated with an MS severity score and prevalence. We randomly selected 80% of the subjects to train the models, and performance was assessed in 20% of the remaining observations and externally validated on 133 volunteers who prospectively underwent myBVI® measurements. The mean ± SD age was 43.7 ± 12.2 years, 63.7% were women, body mass index (BMI) was 28.2 ± 6.2 kg/m2, and 30.2% had MS and an MS severity z-score of -0.2 ± 0.9. Features ß coefficients equal to zero were removed from the model, and 14 were included in the final model and used to calculate the body volume index (BVI), demonstrating an area under the receiving operating curve (AUC) of 0.83 in the validation set. The myBVI® cohort had a mean age of 33 ± 10.3 years, 61% of whom were women, 10.5% MS, an average MS severity z-score of -0.8, and an AUC of 0.88. Conclusion: The described BVI model was associated with an increased severity and prevalence of MS compared with BMI and waist-to-hip ratio. Validation of the BVI had excellent performance when using myBVI®. This model could serve as a powerful screening tool for identifying MS.

[Comparison and application of obesity screening indicators in children and adolescents aged 6-18 years in Hangzhou in 2023].

OBJECTIVE: To determine the percentile reference values and reference curves of total body fat percentage in children and adolescents by sex and age, and to evaluate the reliability of different anthropometric indicators in screening for obesity in children and adolescents in order to explore the validity and practicality of a large-scale screening tool for childhood obesity and its desirable thresholds. METHODS: A total of 5983 children and adolescents aged 6-18 years from six primary and secondary schools were selected by stratified randomised cluster sampling in Hangzhou City in 2023, and their weight, height, waist and hip circumferences were measured, and the children's total body fat content was measured using the bioelectrical resistance-antibody composition analyser. A generalised additive model(GAMLSS) was used to construct a percentile reference curve for children's body fat percentage, and the performance of each anthropometric measure in correctly classifying children and adolescents as obese was assessed using receiver operating characteristic(ROC) curves. RESULTS: Over the period 6-18 years, body fat percentage in girls tended to increase with age from year to year, whereas in boys it tended to increase and then decrease. Fat mass index was the main factor contributing to the difference in BMI at the same age and sex(the optimal cutoff values were 26.82 and 24.52, with AUC values of 0.988 and 0.992, respectively), and the contribution of fat mass index was greater in those with a higher BMI. BMI, which had the largest area under the curve for both boys and girls, was the best indicator for assessing obesity in children and adolescents; the waist-to-height ratio(WHtR), with small variability and equally large area under curve values(0.980 for boys and 0.970 for girls), could simultaneously meet the requirements of accuracy and practicality for obesity assessment in mass screening of children and adolescents. CONCLUSION: This study establish the percentile reference value and reference curve of body fat percentage of children and adolescents aged 6-18 years in Hangzhou based on bioelectrical impedance method, and found that WHtR is a simple, effective and practical screening tool for childhood obesity with low variability, which can provide a reference basis for evaluating growth and development and identifying obesity in children aged 6-18 years in this region.

Systemic immunity-inflammation index is associated with body fat distribution among U.S. adults: evidence from national health and nutrition examination survey 2011-2018.

OBJECTIVE: The systemic immunity-inflammation index (SII) is a newly developed biomarker that provides an integrated measure of inflammation in the body. We aim to evaluate the relationship between SII and body fat distribution. METHODS: Adults from the National Health and Nutrition Examination Survey (NHANES) 2011-2018 were included. The SII was computed using lymphocyte (LC), neutrophil (NC), and platelet (PC) counts as its components. Body fat distribution was assessed by (total, android, gynoid) percentage fat, total abdominal fat area, subcutaneous adipose tissue area, visceral adipose tissue area, and the ratio of visceral to subcutaneous adipose tissue area (V/S ratio). Multivariable weighted linear regression and subgroup analysis were use to examine the relationships between fat distribution and SII. Restricted cubic splines (RCS) and threshold effect analysis were used to examine analyze nonlinear associations. RESULTS: After exclusions, a total of 11,192 adults with a weighted mean age of 38.46 ± 0.26 years were studied. In multivariable weighted linear regression, each level increase in log2SII was associated with increased of 0.23 SDs total percentage fat (95% CI = 0.03, 0.43) and 0.26 SDs android percentage fat (95% CI = 0.06, 0.47). Besides, the subgroup analysis showed that the positive association between SII and android percentage fat was mainly among obese individuals (BMI > 30 kg/m2) and non-obese individuals without DM or hypertension. Meanwhile, the relationship between SII and the V/S ratio was found to be significant in the female subgroup, the obese subgroup, individuals with non-alcoholic fatty liver disease (NAFLD), and those without diabetes mellitus. Finally, SII exhibited an inverted U-shaped relationship with total percentage fat, android percent fat and total abdominal fat. Accordingly, threshold effect analysis indicated a positive association between lower SII levels and total percentage fat, android percentage fat and total abdominal fat area. CONCLUSIONS: In the nationwide study, it was observed that the SII exhibited a significant correlation with higher levels of body fat, specifically android fat. This association was particularly noticeable within specific subgroups of the population.

Risk Profiling of Breast Cancer-Related Lymphedema (BCRL) in Patients With Breast Cancer Via Using Body Composition and Tissue Dielectric Constant (TDC) Method: A Cross-Sectional Study.

BACKGROUND: Breast Cancer-Related Lymphedema (BCRL) is one of the most prominent long-term side effects of breast cancer (BC) treatment. Although an increased BMI is a well-recognized risk factor for BCRL, there is a lack of knowledge regarding the potential associations between body composition and the risk of BCRL. Therefore, this study aimed to analyze the BCRL risk profiles of surgically operated BC patients via body composition and the Tissue Dielectric Constant (TDC) method, respectively. METHODS: A total of 72 patients were included. Patients' risk for BCRL was assessed with Moisture MeterD (Delfin, Finland) in 4 different probes each has unique penetration depths from 0.5 (10 mm) to 5.0 (55 mm) at both upper extremities. The body composition was analyzed with Tanita-BC-420 (TANITA, Japan). Comparing the dielectric values of extremities and proportioning to one another as TDC ratio (at-risk side/unaffected side) was used to profile BCRL risk. RESULTS: TDC values of the thorax reference point were significantly higher in all four probes on the at-risk side (P < .05). TDC ratios in the forearm and Thorax points were significantly correlated with fat mass (r = 0.256, P = .030; r = 0.269, P = .022) as well as with visceral fat rating (VFR) (r = 0.340, P = .003; r = 0.466, P < .001). CONCLUSION: This study highlights the need for further care and investigation in the assessment and prediction of BCRL by considering body composition. Since the risk reduction of BCRL can be maximized by considering the individual features, we can conclude that patients with higher body fat irrespective of the BMI should be followed up regularly.