Body Composition Fat Research Articles

Body fat composition determines outcomes before and after liver transplantation in patients with cirrhosis.

Cachexia occurs in late stages of liver cirrhosis, and a low‐fat mass is potentially associated with poor outcome. This study compared different computed tomography (CT)–derived fat parameters with respect to its prognostic impact on the development of complications and death before and after liver transplantation. Between 2001 and 2014, 612 patients with liver cirrhosis without hepatocellular carcinoma listed for liver transplantation met the inclusion criteria, including abdominal CT scan (±200 days to listing). A total of 109 patients without cirrhosis served as controls. The subcutaneous fat index (SCFI), the paraspinal muscle fat index, and the visceral fat index were assessed at L3/L4 level and normalized to the height (cm2/m2). Data were collected and analyzed retrospectively. Low SCFI was associated with a higher rate of ascites and increased C‐reactive protein levels (p < 0.001). In addition, multivariate Cox regression analysis adjusting for sex, age, body mass index (BMI), and Model for End‐Stage Liver Disease showed that decreasing SCFI was also associated with an increased risk of cirrhosis‐related complications (p = 0.003) and death on the transplant wait list (p = 0.013). Increased paraspinal and visceral fat were not only positively correlated with creatinine levels (p < 0.001), BMI, and metabolic comorbidities (all p < 0.001) before transplantation, but also predictive for 1‐year mortality after transplantation. Conclusion: The distribution of body fat is a major determinant for complications and outcome in cirrhosis before and after liver transplantation.

Management of Stress Fractures in Ballet.

Stress fractures are highly prevalent in ballet dancers and lead to notable time loss from dancing. Nutritional status, body composition, bone mineral density, and rate of increase in activity are among the components that influence risk for stress fractures. Proper evaluation and management of stress fractures is essential including a review of the causative factors involved in each stress injury. The purpose of this article was to summarize current evidence for risk factors involved in dancers' stress fractures to optimize prevention and treatment. Identified associated factors include low energy availability, low bone mineral density, low fat body composition, abnormal lower extremity biomechanics, genetic factors, and high training loads.

Influence of body composition measures on chyle leak after oesophagectomy.

BackgroundChyle leak (CL) is an infrequent but potentially serious complication of oesophagectomy. Sarcopenia is an increasingly recognised prognostic factor in oesophageal cancer surgery. The aim of this study was to identify the influence of body composition measures on CL following oesophagectomy.MethodsPatients who developed CL after oesophagectomy between January 2006–December 2020 were identified retrospectively from a prospectively maintained dataset. A control group of patients undergoing oesophagectomy, who did not experience chyle leak during the same time period, was also collected. Relationships between CL and demographics, operative factors and body composition measures were investigated as primary outcomes. Risk factors for severe CL were evaluated as a secondary outcome.ResultsThere were 26 patients who developed a CL following an oesophagectomy. On univariate analysis, preoperative body mass index (BMI) (P=0.001), subcutaneous fat index (P=0.001) and total fat index (P=0.004) were significantly associated with CL. On multivariate analysis, a lower preoperative subcutaneous fat index was a significant independent predictor of CL (P=0.003). Sarcopenia, as an overall measure, was not found to be a significant predictor of developing CLs. No significant predictors of severe CL were identified.ConclusionsA reduced preoperative BMI and body fat composition are risk factors for CL after oesophagectomy. Sarcopenia does not predict either the occurrence or severity of CL. This presents potentially modifiable risk factors for CL after oesophagectomy and emphasises the importance of physiological and nutritional optimisation before oesophagectomy.

Exposure to Second-Hand Smoke Predicts Breast Cancer Occurrence among Malaysian Women

Breast cancer is the commonest type of cancer among Malaysian women. This study aimed to determine the associated factors for breast cancer occurrence among Malaysian women. A case-control study was conducted at primary cancer referral centre in the East Coast of Peninsular Malaysia from January 2014 to August 2015. Untreated breast cancer (n=55) were assigned as cases compared to healthy controls (n=58). Sociodemographic and reproductive data were collected using a standardized questionnaire while dietary data was obtained using validated diet history questionnaires (DHQ). Anthropometric assessments (weight, height, hip, waist circumference (WC) and body fat composition) were recorded. Overnight fasting venous blood samples were analysed for glucose levels, insulin, high sensitivity C reactive protein (hs-CRP), high molecular weight (HMW) adiponectin and lipid profiles. Simple logistic regression showed factors associated with breast cancer risk include age, lower education level, lower monthly household income and exposure to secondary smoke (sociodemographic factors), pulse rate, the use of more than one year of traditional medicine, systolic, and diastolic blood pressures (physical examination and reproductive factors) as well as WC, HDL cholesterol, TG, blood glucose, and sugar intake (nutritional status) were investigated. Multiple logistic regression showed factors associated with breast cancer risk included exposure to a second-hand smoke (OR=10.00, (95% CI: 2.42, 41.30)), low monthly household income (OR=18.05, (95% CI: 2.56, 127.10)) and high systolic blood pressure (OR=1.08, (95% CI: 1.04, 1.12)). Exposure to second-hand smoke, low monthly household income and high systolic blood pressures are predictors to breast cancer among Malaysian women.

Association between vitamin D and malignant mammary tumors in obese female dogs

Overweight and obesity are known risk factors that are involved in the development and aggressiveness of breast tumors in women. In situations of obesity, local and systemic inflammation may worsen the prognosis of oncological patients. Moreover, hypovitaminosis D increases the risk of breast tumors in women. In female dogs, low vitamin D levels have been found in cases of lymphoma, osteosarcoma and mast cell tumor. The present study aimed to make correlations between body fat composition and serum 25(OH)D concentration in female dogs with mammary tumors. Two experimental groups were formed: healthy female dogs (n = 12; control group) and female dogs with mammary tumors (n = 11). An analysis on body composition was performed using dual-energy X-ray absorptiometry (DXA) equipment. In the tumor group, multicentric nodules were most prevalent (63,6%), with diameters of up to 8.2 cm. The most frequent histopathological diagnosis was tubular carcinoma (45.5%), and 9.1% presented metastases in axillary lymph nodes. The mean 25(OH)D concentration in the female dogs with mammary tumors (37.6 ng mL-1) was lower than the level in the control group (65.4 ng mL-1). Multivariate statistical analysis showed that elderly female dogs with malignant mammary tumors and high body fat levels presented lower 25(OH)D concentrations than those of the control group. It was concluded that female dogs with higher body adiposity presented mammary tumors of higher aggressivity, and that the higher the fat percentage was in the female dogs with malignant mammary tumors, the lower their vitamin D concentration was.

Body Composition and Energy Savings by Hibernation: Lessons from the South American Marsupial Dromiciops gliroides.

AbstractHibernation (i.e., seasonal or multiday torpor) has been described in mammals from five continents and represents an important adaptation for energy economy. However, direct quantifications of energy savings by hibernation are challenging because of the complexities of estimating energy expenditure in the field. Here, we applied quantitative magnetic resonance to determine body fat and body composition in hibernating Dromiciops gliroides (monito del monte). During an experimental period of 31 d in winter, fat was significantly reduced by g, and lean mass was significantly reduced by g. This fat and lean mass consumption is equivalent to a daily energy expenditure of hibernation (DEEH) of kJ d-1, representing 13.4% of basal metabolic rate, with a proportional contribution of fat and lean mass consumption to DEEH of 81% and 18%, respectively. During the deep heterothermic bouts of monitos, body temperature remained 0.41°C ± 0.2°C above ambient temperature, typical of hibernators. Animals shut down metabolism and passively cool down to a critical defended temperature of 5.0°C ± 0.1°C, where they begin thermoregulation in torpor. Using temperature data loggers, we obtained an empirical estimation of minimum thermal conductance of J g-1 h-1 °C-1, which is 107% of the expectation by allometric equations. With this, we parameterized body temperature/ambient temperature time series to calculate torpor parameters and metabolic rates in euthermia and torpor. Whereas the acute metabolic fall in each torpor episode is about 96%, the energy saved by hibernation is 88% (compared with the DEE of active animals), which coincides with values from the literature at similar body mass. Thus, estimating body composition provides a simple method to measure the energy saved by hibernation in mammals.

Vitamin D Deficiency, Excessive Gestational Weight Gain, and Oxidative Stress Predict Small for Gestational Age Newborns Using an Artificial Neural Network Model.

(1) Background: Size at birth is an important early determinant of health later in life. The prevalence of small for gestational age (SGA) newborns is high worldwide and may be associated with maternal nutritional and metabolic factors. Thus, estimation of fetal growth is warranted. (2) Methods: In this work, we developed an artificial neural network (ANN) model based on first-trimester maternal body fat composition, biochemical and oxidative stress biomarkers, and gestational weight gain (GWG) to predict an SGA newborn in pregnancies with or without obesity. A sensibility analysis to classify maternal features was conducted, and a simulator based on the ANN algorithm was constructed to predict the SGA outcome. Several predictions were performed by varying the most critical maternal features attained by the model to obtain different scenarios leading to SGA. (3) Results: The ANN model showed good performance between the actual and simulated data (R2 = 0.938) and an AUROC of 0.8 on an independent dataset. The top-five maternal predictors in the first trimester were protein and lipid oxidation biomarkers (carbonylated proteins and malondialdehyde), GWG, vitamin D, and total antioxidant capacity. Finally, excessive GWG and redox imbalance predicted SGA newborns in the implemented simulator. Significantly, vitamin D deficiency also predicted simulated SGA independently of GWG or redox status. (4) Conclusions: The study provided a computational model for the early prediction of SGA, in addition to a promising simulator that facilitates hypothesis-driven constructions, to be further validated as an application.

Body Fat Composition Related to Fatty Snack Habit Consumption of Office Workers in Urban Area

BACKGROUND:The fatty snack cooked with a deep-fried process is a snack that is often consumed by Indonesian people. The high oil content in fatty snacks results in the risk of obesity. AIM: The purpose of this study was to analyze the consumption habits of fatty snacks with body fat composition of office workers in urban area. METHOD: This research design uses a cross-sectional study with a purposive sampling method consisting of men and women with a total of 112 respondents. Food consumption data were obtained using semi-quantitative FFQ, while body fat composition used Bio Electrical Impedance Analysis. The relationship between fatty snacks consumption and body fat was analyzed using the chi-square test, while the differences between the two groups based on gender were analyzed using the independent sample t-test. RESULT: There was a significant relationship between age and body fat (P=0.005) and visceral fat (P=0.004). Nutritional status had a significant relationship with body fat (P=0.003) and visceral fat (P=0.000). Fatty snacks consumption habits were associated with body fat (P=0.008), while not visceral fat (P&gt;0.05). There was no significant difference (p&gt;0.05) between men and women based on body and visceral fat composition, nutritional status, and frequency of consumption of fatty snacks. CONCLUSION: Consumption of Fatty snacks more than once per day is closely related to body fat.

Association between physical activity and vitamin D is partially mediated by adiposity in older adults: EpiFloripa Aging Cohort Study

Studies have found that physical activity (PA) could be a protective factor and adiposity a risk factor for low serum 25-hydroxycholecalciferol (25(OH)D) concentration. This cross-sectional study hypothesized that PA could have a direct effect on 25(OH)D, and adiposity could be a mediating factor. Data from the second wave of the EpiFloripa Aging longitudinal study, collected during 2013 and 2014 (n = 1197) in Florianopolis, Santa Catarina, Brazil, was used. PA was measured using an accelerometer and classified as light PA (LPA), moderate and vigorous PA (MVPA), and total PA (TPA); 25(OH)D levels were measured using the microparticle chemiluminescence method. Body fat composition (%fat) was assessed using dual-energy X-ray absorptiometry. Structural equation modeling was performed to analyze the total, direct, and indirect effects of PA on %fat and 25(OH)D levels, presented using the standardized coefficient (β). Participants with complete data were included in the analysis (n = 574, 66.7% female). MVPA showed a direct (β = 0.11; P < .05) and total positive effect on 25(OH)D (β = 0.12; P < .05). All models of PA had a direct negative effect on %fat. Additionally, a direct negative effect of %fat on 25(OH)D was observed in all models. A marginal and partial effect of %fat as a mediator of the relationship between MVPA and 25(OH)D was noted (β = 0.01, P = .09). Our results show that PA presents a direct effect on serum 25(OH)D. %fat has a small contribution as a mediator of this relationship. These data suggest that an increase in MVPA and a decrease in %fat could be strategies to increase 25(OH)D levels in older adults.

Comparative study of nutritional status, body composition and eating practices in two high schools students

Blackground: The prevalence of Overweight and Obesity is a public health problem that affects the adolescent population. Healthy eating practices are optimized with motivation, resources and knowledge and thus favor growth, physical and mental development. Unhealthy eating practices can induce different types of nutritional disorders. Objective: Determine the relationship between eating practices, body mass index, and body fat composition in students from two public and private high schools. Methodology: 500 students participated, the instruments used CVUJU-R and CAR, assesses eating practices, sociodemographic variables and by anthropometry: mass index and body fat composition, for statistical analysis Student’s t, ANOVA, Pearson p&lt;.05 was used. Results. It was observed that they consume a variety of foods 1 to 3 times a week (47.6% to 67%), more than half do not practice a healthy diet related to motivation, knowledge and resources. They present a body mass index with: overweight (30.2%) and obesity (12%) when buying the body fat composition was higher: overweight (32%) and obesity due to adiposity (47%) in private high school women. The higher proportion in body fat composition and lower in body mass index stand out in the mean score. Contrasting the relationships: educational establishment, sex, age, percentage of body fat and body mass index was significant p=&lt;. 05. Discussion. Studies report unhealthy eating behaviors in overweight and obese populations as well as an increase in fat mass composition. Conclusions. The conditions show, dietary risk and standards to evaluate body mass composition. Strengthen nursing interventions to promote healthy eating behaviors in adolescents.

ADHD in childhood predicts BMI and body composition measurements over time in a population-based birth cohort.

Obesity has been reported as an attention-deficit hyperactivity disorder (ADHD) comorbidity. So far, few studies have aimed to explore the potential causal relationship between ADHD and obesity, as well as used other measures of body composition like fat-free mass (FFM) and fat mass (FM) as measures of obesity. This study aimed to test the association between ADHD and body composition (body mass index [BMI] and others) and to evaluate the potential causal relationship with obesity. Data from the 1993 Pelotas (Brazil) birth cohort at age 11-, 15-, 18-, and 22-year follow-up was used. We performed a cross-lagged panel model (CLPM) analysis between ADHD symptoms and BMI to explore the causal relationship between both traits. Finally, we tested whether ADHD, inattention, and hyperactivity symptom scales were associated with BMI, FM, and FFM at 22 years. In the CLPM, higher ADHD scores at age 11 predicted higher BMI at age 15 (β = 0.055, 95% CI [0.037; 0.073]). ADHD symptoms at age 11 was also associated with a decrease in the FFM (β = -0.16, 95% CI [-0.28; -0.05]), and an increase in the BMI (β = 0.17, 95% CI [0.10; 0.23]) and FM (β = 0.17, 95% CI [0.06; 0.29]) at 22 years. At 22 years of age, ADHD was associated with FFM and FM. Moreover, an increase in BMI was observed with an increase in several symptoms of ADHD in general (β = 0.06, 95% CI [0.004; 0.12]), and hyperactivity symptoms (β = 0.15, 95% CI [0.05; 0.25]). ADHD at 11 years predicted a higher BMI at 15 years, and body fat composition in adulthood, suggesting higher scores on ADHD symptoms in early life may be a critical point for body composition in early adulthood. The hyperactivity symptoms may play an important role in the BMI increase.

Body fat composition as biomarker for clinical outcomes and treatment tolerance in high-risk prostate cancer.

159 Background: Androgen deprivation therapy (ADT) is a standard of care for high-risk prostate cancer, but treatment tolerance is variable. Prior work has demonstrated the correlation between body composition (BC) and clinical outcomes in prostate cancer. Specifically, high visceral fat density has been associated with fat depletion phenomenon and poor prognosis in prostate cancer. However, the interaction of long-term ADT tolerance and body fat composition is less studied. We investigated if BC could predict for outcomes and treatment tolerance in patients with high-risk prostate cancer with planned ADT. Methods: An IRB-approved retrospective review was conducted at a tertiary care center of patients with high-risk (T3a or prostate-specific antigen [PSA] &gt; 20 ng/mL or Gleason score 8-10 or N/M+) prostate cancer who received definitive external beam radiation therapy (RT) from 2006 to 2013. A previously validated, fully automated deep learning BC analysis pipeline was performed on RT simulation scans to compute BC at the top of L3 slice, including total skeletal muscle (SM), subcutaneous fat (SF), and visceral fat (VF) surface area (cm2) and average CT density (Hounsfield Units (HU)); results were manually validated by experts. BC was stratified by median value. Adult Comorbidity Evaluation-27 (ACE) was used to measure co-morbidity. Long-term ADT was defined as &gt; 2 years, tolerance was defined as unplanned discontinuation &gt; 3-month difference in intended/actual duration of ADT. The association between BC markers, oncologic outcomes, and treatment tolerance was analyzed using univariable Cox regression and chi-square test. Results: A total of 207 men were analyzed with a median follow up time of 10.8 years (range 0.7-17.3y). Median age was 65 (range 42-83), with 61 (29.4%) patients classified as high-risk, 134 (64.7%) very-high-risk, and 12 (5.8%) N+/M+ at diagnosis. High VF density was associated with worse overall survival (OS) (HR 1.71, 95%CI 1.09-2.68, p = 0.0204) but not cancer-specific survival (CSS) (p = 0.08) or biochemical-relapse free survival (bRFS) (p = 0.97). SM and SF density, as well as area of SM, VF, SF, and total fat were not associated with outcomes. N/M stage was associated with bRFS (p = 0.0139), and N/M stage (p = 0.0101) and higher ACE score (p = 0.0218) were associated with OS. Among 88 (42.5%) patients planned for long-term ADT use, 24 (27%) patients discontinued ADT prior to duration, of which 15 (17%) patients discontinued due to toxicity. BC markers did not correlate with tolerance to long-term ADT (p = 0.17). Tolerance to long-term ADT was not associated with bRFS or OS. Conclusions: High VF density is associated with worse OS but not bRFS or CSS in high-risk prostate cancer patients, and not associated with adipose area or ADT tolerance. VF density may be a biomarker of underlying metabolic health in prostate cancer patients independent of disease, and a potential area of intervention.

Gut Dysfunction Markers Are Associated With Body Composition in Youth Living With Perinatally Acquired Human Immunodeficiency Virus.

The association between gut dysfunction and body fat composition in youth living with perinatal human immunodeficiency virus infection (YPHIV) has not been investigated. We included YPHIV aged 7-19 years from the Pediatric HIV/AIDS Cohort Study Adolescent Master Protocol with plasma available within 6 months of baseline whole-body dual energy x-ray absorptiometry (DXA) and HIV RNA ≤1000 copies/mL within 3 months of baseline DXA and a second DXA 2 years later. Plasma markers of bacterial translocation and gut barrier dysfunction (lipopolysaccharide binding protein [LBP], zonulin, and intestinal fatty acid binding protein [I-FABP]) were measured at baseline by enzyme-linked immunosorbent assay and log10 transformed. Adiposity outcomes included percentage total body, truncal, and extremity fat in kilograms from DXA. Linear regression models were fit using generalized estimating equations to assess associations of baseline gut markers (log10) on adiposity outcomes at baseline and 2 years, adjusted for demographic variables, current antiretroviral therapy exposure, and physical activity. Two hundred sixty-one youth were included; 128 had a second DXA. Median age at first DXA was 12 years (interquartile range, 10-14 years), 49% were female, and 69% were Black. After adjustment for potential confounders, log10 LBP was positively associated with percentage total body fat at baseline (β = 4.08, P < .01) and zonulin with adiposity measures at both time points (β = .94 to 6.50, P ≤ .01). I-FABP was inversely associated with percentage total body fat at baseline and year 2 (β = -2.36 and -3.01, respectively, P ≤ .02). Despite viral suppression, gut damage and the resultant bacterial translocation are associated with body composition measures in YPHIV.

Reduced calorie diet combined with NNMT inhibition establishes a distinct microbiome in DIO mice

Treatment with a nicotinamide N-methyltransferase inhibitor (NNMTi; 5-amino-1-methylquinolinium) combined with low-fat diet (LD) promoted dramatic whole-body adiposity and weight loss in diet-induced obese (DIO) mice, rapidly normalizing these measures to age-matched lean animals, while LD switch alone was unable to restore these measures to age-matched controls in the same time frame. Since mouse microbiome profiles often highly correlate with body weight and fat composition, this study was designed to test whether the cecal microbiomes of DIO mice treated with NNMTi and LD were comparable to the microbiomes of age-matched lean counterparts and distinct from microbiomes of DIO mice maintained on a high-fat Western diet (WD) or subjected to LD switch alone. There were minimal microbiome differences between lean and obese controls, suggesting that diet composition and adiposity had limited effects. However, DIO mice switched from an obesity-promoting WD to an LD (regardless of treatment status) displayed several genera and phyla differences compared to obese and lean controls. While alpha diversity measures did not significantly differ between groups, beta diversity principal coordinates analyses suggested that mice from the same treatment group were the most similar. K-means clustering analysis of amplicon sequence variants by animal demonstrated that NNMTi-treated DIO mice switched to LD had a distinct microbiome pattern that was highlighted by decreased Erysipelatoclostridium and increased Lactobacillus relative abundances compared to vehicle counterparts; these genera are tied to body weight and metabolic regulation. Additionally, Parasutterella relative abundance, which was increased in both the vehicle- and NNMTi-treated LD-switched groups relative to the controls, significantly correlated with several adipose tissue metabolites’ abundances. Collectively, these results provide a novel foundation for future investigations.

The relationships between physical fitness attributes and match demands in rugby union referees officiating the 2019 Rugby World Cup

ABSTRACT This study examined the relationships between physical fitness attributes and match demands in lead rugby union referees. Eleven referees underwent anthropometric and fitness assessments (40-m sprint, Yo-Yo Intermittent Recovery Test, 1.2-km shuttle run) prior to the 2019 Rugby World Cup. Match activities were assessed via global positioning system devices (total distance, high-speed running distance [>5 m·s−1], average speed, and peak intensities over 1-min, 5-min, and 10-min epochs) and heart rate variables were measured using chest-worn monitors (HRmean, summated-heart-rate-zones, time above 90% HRmax). Forty-metre sprint time was significantly related to maximum speed (P = 0.004; r = −0.79) and high-speed running distance (P = 0.037, r = −0.63) during matches. Likewise, ∑7 skinfold thickness was significantly correlated with high-speed running distance (P = 0.01, r = −0.72). Yo-Yo Intermittent Recovery Test, 1.2-km Shuttle Run Test, age, and body mass index exhibited non-significant correlations (P > 0.05, r = −0.58 to 0.53) with match demand variables. Results suggest it may be pertinent for referees to optimise sprint capacity and body fat composition to execute greater high-speed running volumes and reach higher peak speeds during matches. Yo-Yo Intermittent Recovery Test and 1.2-km shuttle run tests are not correlated to specific match activity variables and thus may not be relevant for monitoring of rugby union referees.

Correlates of cardiorespiratory fitness among overweight or obese individuals with type 2 diabetes

IntroductionMechanistic studies suggest that type 2 diabetes is independently associated with low cardiorespiratory fitness (CRF). Little is known about the CRF profile in type 2 diabetes; we assessed the correlates...

Flaxseed Mucilage (IQP-LU-104) Reduces Body Weight in Overweight and Moderately Obese Individuals in a 12-week, Three-Arm, Double-Blind, Randomized, and Placebo-Controlled Clinical Study

Introduction: The aim of this study was to evaluate the benefit and tolerability of two dosages of a proprietary flaxseed mucilage (IQP-LU-104) in reducing body weight in overweight and moderately obese individuals. Methods: In a double-blind, randomized, placebo-controlled, bi-center trial, 108 participants (body mass index [BMI] 25–<35 kg/m²) were randomly allocated to receive either IQP-LU-104 high dose (104HD), IQP-LU-104 low dose (104LD), or placebo. Participants were instructed to consume 1 sachet of the investigational product (containing IQP-LU-104 or matching placebo) before or with main meals twice daily and to follow a balanced but hypocaloric diet (20% reduction of individual’s daily energy requirements) for 12 weeks. At week 0 (baseline), and weeks 4, 8, and 12 of the intervention periods, the participants’ body weight, BMI, body fat composition, and waist and hip circumferences were measured. Blood samples were collected for safety assessment at screening visit (week -2) and at the end of the study. Adverse events were assessed by the investigators through interviewing the participants and were recorded at every visit post screening. Results: At the end of the 12-week study, body weight reduction was greater in the 104HD group (4.96 ± 1.89 kg, p < 0.001 vs. placebo) and 104LD group (3.70 ± 2.57 kg, p < 0.001 vs. placebo) compared to the placebo group (1.33 ± 2.05 kg). 68% and 46% of participants in the 104HD group (p < 0.001 vs. placebo) and 104LD group (p = 0.002 vs. placebo), respectively, experienced at least 5% weight loss, compared to 9% of participants in the placebo group. Significant decreases in waist and hip circumferences were observed in both the 104HD and 104LD groups compared to the placebo group (each p < 0.001). 104HD group had significantly higher reduction in body fat mass (4.25 ± 5.86 kg) than the placebo group (1.06 ± 3.20 kg) (p = 0.002). Respiratory tract infections and gastrointestinal symptoms were the main adverse events reported and none of the adverse events were related to the intake of IQP-LU-104. Conclusion: Results demonstrated IQP-LU-104 is safe and efficacious in body weight reduction at both dosages in overweight and moderately obese individuals.

Adipose tissue distribution from body MRI is associated with cross-sectional and longitudinal brain age in adults

There is an intimate body-brain connection in ageing, and obesity is a key risk factor for poor cardiometabolic health and neurodegenerative conditions. Although research has demonstrated deleterious effects of obesity on brain structure and function, the majority of studies have used conventional measures such as waist-to-hip ratio, waist circumference, and body mass index. While sensitive to gross features of body composition, such global anthropometric features fail to describe regional differences in body fat distribution and composition. The sample consisted of baseline brain magnetic resonance imaging (MRI) acquired from 790 healthy participants aged 18–94 years (mean ± standard deviation (SD) at baseline: 46.8 ± 16.3), and follow-up brain MRI collected from 272 of those individuals (two time-points with 19.7 months interval, on average (min = 9.8, max = 35.6). Of the 790 included participants, cross-sectional body MRI data was available from a subgroup of 286 participants, with age range 19–86 (mean = 57.6, SD = 15.6). Adopting a mixed cross-sectional and longitudinal design, we investigated cross-sectional body magnetic resonance imaging measures of adipose tissue distribution in relation to longitudinal brain structure using MRI-based morphometry (T1) and diffusion tensor imaging (DTI). We estimated tissue-specific brain age at two time points and performed Bayesian multilevel modelling to investigate the associations between adipose measures at follow-up and brain age gap (BAG) – the difference between actual age and the prediction of the brain’s biological age – at baseline and follow-up. We also tested for interactions between BAG and both time and age on each adipose measure. The results showed credible associations between T1-based BAG and liver fat, muscle fat infiltration (MFI), and weight-to-muscle ratio (WMR), indicating older-appearing brains in people with higher measures of adipose tissue. Longitudinal evidence supported interaction effects between time and MFI and WMR on T1-based BAG, indicating accelerated ageing over the course of the study period in people with higher measures of adipose tissue. The results show that specific measures of fat distribution are associated with brain ageing and that different compartments of adipose tissue may be differentially linked with increased brain ageing, with potential to identify key processes involved in age-related transdiagnostic disease processes.

Maternal anthropometric measurements and correlation to maternal and fetal outcomes in late pregnancy.

Background:Body mass index does not distinguish between lean and fat body mass; therefore, its utility defining body composition is limited in pregnancy. Anthropometric measurements may better represent variation in body composition among women who are overweight or obese. We sought to examine body fat composition using maternal anthropometric measurements in late pregnancy and correlate with mode of delivery.Methods:A prospective study of pregnant patients who were overweight (body mass index: 25–29.9 kg/m2) or obese (body mass index ⩾ 30 kg/m2) with singleton pregnancies who underwent anthropometric measurements between 27 weeks, 0 days to 34 weeks, 6 days gestation. Maternal skinfold thicknesses from eight sites were used to estimate body fat mass. Correlation of skinfold thickness, anthroprometric measurements, and estimated body fat percentage on mode of delivery were analyzed with p < .05 as significant.Results:A total of 41 women with overweight (34.1%) or obese (65.9%) body habitus were included. Mean age was 29.9 years, and the majority (43.9%) were Black and 31.7% identified Hispanic/Latinx. The average gestational age at recruitment was 30 weeks, 2 days and 38 weeks, 6 days at delivery. A greater weight at recruitment (94.2 vs 81.8 kg, p = .023), waist circumference (47.1 vs 43.5 inches, p = .010), Huston–Presley body fat percentage (36.4% vs 31.8%, p = .030), triceps skinfold thickness (20.1 vs 15.7 mm, p = .030), biceps skinfold thickness (18.6 vs 15.0 mm, p = .042), and skinfold thickness, as well as sum of skinfold sites (83.3 vs 68.8 mm, p = .049) were associated with cesarean delivery compared to vaginal delivery on univariate analysis.Conclusion:Third-trimester anthropometric measurements may help predict increased risk for c-section in women with obesity. Further research may elucidate utility in nutritional counseling and delivery planning.

DHA Supplementation of Obese Rats throughout Pregnancy and Lactation Modifies Milk Composition and Anxiety Behavior of Offspring.

We investigated if supplementing obese mothers (MO) with docosahexaenoic acid (DHA) improves milk long-chain polyunsaturated fatty acid (LCPUFA) composition and offspring anxiety behavior. From weaning throughout pregnancy and lactation, female Wistar rats ate chow (C) or a high-fat diet (MO). One month before mating and through lactation, half the mothers received 400 mg DHA kg−1 d−1 orally (C+DHA or MO+DHA). Offspring ate C after weaning. Maternal weight, total body fat, milk hormones, and milk nutrient composition were determined. Pups’ milk nutrient intake was evaluated, and behavioral anxiety tests were conducted. MO exhibited increased weight and total fat, and higher milk corticosterone, leptin, linoleic, and arachidonic acid (AA) concentrations, and less DHA content. MO male and female offspring had higher ω-6/ ω-3 milk consumption ratios. In the elevated plus maze, female but not male MO offspring exhibited more anxiety. MO+DHA mothers exhibited lower weight, total fat, milk leptin, and AA concentrations, and enhanced milk DHA. MO+DHA offspring had a lower ω-6/ω-3 milk intake ratio and reduced anxiety vs. MO. DHA content was greater in C+DHA milk vs. C. Supplementing MO mothers with DHA improves milk composition, especially LCPUFA content and ω-6/ω-3 ratio reducing offspring anxiety in a sex-dependent manner.