Lower Percent Body Fat Research Articles

Body fat or muscle underneath body mass index in heart failure patients: characteristics and prognostic values

Abstract Background Body Mass Index (BMI) has been recognized as a prognosticator for heart failure (HF) in that higher BMI relates to lower mortality. However, limited data are available whether body composition underneath BMI would further differentiate patients with a better or worse outcome, especially in those with lower or normal BMI. Purpose To investigate the characteristics of body fat and body muscle in HF patient groups with different BMI, and their impact on prognosis. Methods Between July 2021 and July 2022, hospitalized HF patients who were suitable for the examination underwent body composition analysis by using bioelectrical analyses (BIA) in the stable state after decongestion therapy and before discharge. Percentage of body fat (PBF) and percentage of body muscle (PBM) were calculated by dividing the mass of body fat, or body muscle, respectively. Patients were divided into underweight (<18.5kg/m2), normal weight (20-24.9 kg/m2), overweight/obese (≥25kg/m2) based on BMI, who were followed for 180 days for all-cause death. Results 127 consecutive patients with obtained data were finally enrolled (60±15 years, 70% males), including 20 (15.75%) underweight, 75 (59.06%) normal weight, and 32 (25.19%) overweight/obese. As shown in Table 1, As shown in Table 1, the body fat mass and muscle mass varied with BMI, though they showed a different rate of change. Compared with patients with normal weight, the fat and muscle mass in those overweight/obese was 81.8% and 12.4% higher; whereas it was 39.2%, and 23.1% lower in those underweight, respectively. As results, the overweight/obesity group had a higher PBF, but a lower percentage of PBM. Consequently, the overweight/obesity group had a higher PBF, a lower PBM and a decreased muscle mass/fat mass ratio (MFR); conversely, the underweight group had a lower PBF, a higher PBM and an increased MFR. During 180-day follow-up, 17 (13.4%) died for all cause. By Cox regression analysis, MFR independently predict all-cause death (HR, 1.273, 95% CI: 1.056-1.534, p=0.011) after adjusted for age, BMI, ejection fraction and NT-proBNP. Of note, in patients with normal weight, Receiver Operating Characteristic (ROC) curve analysis suggested the capability of MFR (AUC=0.780, p=0.003) as well as its superiority over BMI in association with all-cause mortality (Figure 1). Conclusions The change of body fat or muscle mass with BMI displayed a different rate in HF patients, so that the MFR was higher in underweight but lower in overweight/obese when compared to normal weight group. Apart from BMI, MFR emerged as a predictor of mortality, in particular in patients with normal weight.

Cardiorespiratory Fitness and Sleep, but not Physical Activity, are Associated with Functional Connectivity in Older Adults.

Aging results in changes in resting state functional connectivity within key networks associated with cognition. Cardiovascular function, physical activity, sleep, and body composition may influence these age-related changes in the brain. Better understanding these associations may help clarify mechanisms related to brain aging and guide interventional strategies to reduce these changes. In a large (n = 398) sample of healthy community dwelling older adults that were part of a larger interventional trial, we conducted cross sectional analyses of baseline data to examine the relationships between several modifiable behaviors and resting state functional connectivity within networks associated with cognition and emotional regulation. Additionally, maximal aerobic capacity, physical activity, quality of sleep, and body composition were assessed. Associations were explored both through correlation and best vs. worst group comparisons. Greater cardiovascular fitness, but not larger quantity of daily physical activity, was associated with greater functional connectivity within the Default Mode (p = 0.008 r = 0.142) and Salience Networks (p = 0.005, r = 0.152). Better sleep (greater efficiency and fewer nighttime awakenings) was also associated with greater functional connectivity within multiple networks including the Default Mode, Executive Control, and Salience Networks. When the population was split into quartiles, the highest body fat group displayed higher functional connectivity in the Dorsal Attentional Network compared to the lowest body fat percentage (p = 0.011; 95% CI - 0.0172 to - 0.0023). These findings confirm and expand on previous work indicating that, in older adults, higher levels of cardiovascular fitness and better sleep quality, but not greater quantity of physical activity, total sleep time, or lower body fat percentage are associated with increased functional connectivity within key resting state networks.

Body composition in a pediatric population with type-1 diabetes – The importance of planned physical exercise

Objective and methodsThis study aimed to assess the body composition of pediatric patients with type-1 diabetes (T1D) in a Portuguese pediatric endocrinology/diabetic clinic, using the InBody 570 bioimpedance system. Preschool children (<6 years) and those recently diagnosed (<6 months) were excluded. ResultsThe study included 78 patients (53% female). Median age at assessment was 14 years, with 81% pubertal children. Eighty-seven percent were using continuous subcutaneous insulin infusion (CSII), 25% with an automated closed-loop model. Median HbA1c was 7.3%. Most had an adequate body mass index (BMI) standard deviation score (62%) and 48% engaged in regular physical exercise (PE) outside of school. Median percentage body fat (PBF) was 21.5% and was abnormal in 48%, with median visceral adiposity of 4. Despite adequate BMI, 11% had excessive PBF. PBF was significantly associated with visceral fat (r=0.79; P<0.001), female gender (P<0.001) and PE performed out of school (P=0.005). PE was associated with lower PBF (P=0.005), lower visceral fat (P=0.002), and higher muscle-to-fat ratio (P=0.006). ConclusionEngaging in physical exercise out of school correlated significantly with improved body composition, characterized by reduced PBF and diminished visceral adiposity. Considering the known benefits of physical exercise for metabolic and glycemic control, this study highlights the importance of promoting regular physical exercise in T1D patients.

Is There a Relationship Between Body Mass Index and Eating Disorder Symptoms in Professional Male Fashion Models?

This study is the first to examine the utility of body mass index (BMI) as an indicator of eating disorder (ED) pathology and fitness for employment for professional male fashion models. We assessed the relationship between experimenter-measured BMI, muscle mass, body fat percentage, and ED severity (EDE-Q score) in male models and nonmodels. Except for higher eating concern, the two groups displayed similar EDE-Q scores after controlling for age. Models relative to nonmodels endorsed significantly greater frequency of compulsive exercise and self-induced vomiting as a means of controlling shape or weight. BMI was a poor indicator of body fat percentage in models. Lower BMI in models, and higher BMI in nonmodels, was associated with higher EDE-Q scores. Interestingly, all the male models with clinically significant EDE-Q scores (≥4.0) had >18.5 experimenter-measured BMI. Higher muscle mass in models, and lower muscle mass in nonmodels, was associated with higher EDE-Q scores. Inversely, lower percentage body fat in models, and higher percentage body fat in nonmodels, was associated with higher EDE-Q scores. BMI, muscle mass, and percentage body fat were associated with ED tendencies in male models and nonmodels. Findings also suggest males with clinical ED symptoms would be overlooked if only low BMI (<18.5) was considered. These results may guide the development of more effective mandates to safeguard models' wellbeing, and men generally.

Association between thermogenic brown fat and genes under positive natural selection in circumpolar populations

BackgroundAdaptation to cold was essential for human migration across Eurasia. Non-shivering thermogenesis through brown adipose tissue (BAT) participates in cold adaptation because some genes involved in the differentiation and function of BAT exhibit signatures of positive natural selection in populations at high latitudes. Whether these genes are associated with the inter-individual variability in BAT thermogenesis remains unclear. In this study, we evaluated the potential associations between BAT activity and single nucleotide polymorphisms (SNPs) in candidate gene regions in East Asian populations.MethodsBAT activity induced by mild cold exposure was measured in 399 healthy Japanese men and women using fluorodeoxyglucose-positron emission tomography and computed tomography (FDG-PET/CT). The capacity for cold-induced thermogenesis and fat oxidation was measured in 56 men. Association analyses with physiological traits were performed for 11 SNPs at six loci (LEPR, ANGPTL8, PLA2G2A, PLIN1, TBX15-WARS2, and FADS1) reported to be under positive natural selection. Associations found in the FDG-PET/CT population were further validated in 84 healthy East Asian men and women, in whom BAT activity was measured using infrared thermography. Associations between the SNP genotypes and BAT activity or other related traits were tested using multiple logistic and linear regression models.ResultsOf the 11 putative adaptive alleles of the six genes, two intronic SNPs in LEPR (rs1022981 and rs12405556) tended to be associated with higher BAT activity. However, these did not survive multiple test comparisons. Associations with lower body fat percentage, plasma triglyceride, insulin, and HOMA-IR levels were observed in the FDG-PET/CT population (P < 0.05). Other loci, including TBX15-WARS2, which is speculated to mediate cold adaptation in Greenland Inuits, did not show significant differences in BAT thermogenesis.ConclusionsOur results suggest a marginal but significant association between LEPR SNPs. However, robust supporting evidence was not established for the involvement of other loci under positive natural selection in cold adaptation through BAT thermogenesis in East Asian adults. Given the pleiotropic function of these genes, factors other than cold adaptation through BAT thermogenesis, such as diet adaptation, may contribute to positive natural selection at these loci.

The Impact of Body Composition and Physical Fitness on Parasympathetic Reactivation in Firefighters

Objective: Firefighting involves aerobic and anaerobic physical activities that cause heart rates to rise from submaximal to above maximal levels. These varying demands can occur with each call firefighters respond to during their shift, imposing both acute and cumulative cardiovascular loads. Heart rate is commonly used to measure cardiovascular responses during disasters, emergencies, firefighting, and firefighting simulations. There is substantial evidence suggesting that heart rate recovery (HRR) parameters are associated with body composition and aerobic fitness. Therefore, the primary aim of this study is to determine the relationship between body composition, physical fitness, and HRR parameters in firefighters. Method: This cross-sectional descriptive study was conducted among firefighters working in a metropolitan municipality. Using the G-Power 3.1 program, seventy-four firefighters (age = 32.61 ± 8.9 years, height = 1.76 ± 0.6 cm, weight = 83.9 ± 13 kg) volunteered to participate in this study. Body mass index (BMI), waist circumference (WC), and body fat percentage (BFP) were recorded for each subject. To determine aerobic fitness (VO2max), each participant performed a submaximal exercise test on a treadmill. HRR was calculated as the difference between peak heart rates post-exercise (HRmax) and heart rates at the first and second minutes of the recovery phase, recorded as HRR1 and HRR2, respectively. Results: The mean VO2max and BMI of the participants were 48.32 ± 9.18 ml/kg/min and 27.10 ± 3.49 kg/m², respectively. No significant relationship was found between the HRR1 and HRR2 parameters and the variables of BMI, WC, and BFP in firefighters (p&amp;gt;0.05). However, positive significant relationships were detected between HRR1 and HRR2 and VO2max (p&amp;lt;0.05). A statistically significant negative relationship was found between VO2max and the variables of BMI, WC, BFP, and weight (p&amp;lt;0.05). These findings indicate that higher aerobic capacity is associated with better heart rate recovery and lower body fat percentage. Conclusion: The results of this study demonstrate that cardiovascular autonomic function is significantly related to maximum aerobic fitness. However, no measure of body composition appears to affect the overall HRR response of the firefighters. This research provides important insights into how the aerobic capacity of firefighters affects their heart rate recovery responses. These findings offer a crucial foundation for improving the physical fitness levels and maintaining the cardiovascular health of firefighters.

Associations of Wearable Ring Measured Sleep, Sedentary Time, and Physical Activity With Cardiometabolic Health: A Compositional Data Analysis Approach.

Movement behaviors within the 24-h day, including physical activity (PA), sedentary time, and sleep, are associated with cardiometabolic health. We aimed to determine the association between 24-h movement composition and cardiometabolic health while accounting for sleep efficiency. Altogether, 1134 participants from the Northern Finland Birth Cohort 1986 study, free from prior cardiovascular disease, provided at least 4 days of 24-h activity and sleep efficiency measured with a wearable ring. Participants' body composition was assessed with bioimpedance, blood pressure, and waist circumference were measured, and lipids and glucose were analyzed from a fasting blood sample. Linear regression models for cardiometabolic outcomes were created with 24-h movement composition and covariates, including sleep efficiency and behavioral and socioeconomic factors. Isotemporal time reallocations were used to demonstrate the dose-dependent associations between time use and outcomes. Beneficial associations with the outcomes were detected when sedentary time was reallocated to light PA, moderate-to-vigorous PA (MVPA), or sleep. For example, substituting 30 min of sedentary time with MVPA was associated with 7.2% (95% CI from -9.8% to -4.5%) lower visceral fat area, 4.9% (95% CI from -6.5% to -3.3%) lower body fat percentage, 1.6% (95% CI from -2.3% to -0.9%) smaller waist circumference, and 2.4% (95% CI from 1.2% to 3.5%) higher high-density lipoprotein (HDL) cholesterol after accounting for gender, marital status, education level, employment, smoking, alcohol consumption, and sleep efficiency. Substituting sedentary time with sleep or light PA showed beneficial but smaller differences in adiposity measures and HDL cholesterol. Limiting sedentary time should be encouraged in adulthood.

Association of body composition indicators with colorectal cancer: a hospital-based case-control study

PurposeColorectal cancer (CRC) is a common malignancy that affects adults worldwide, causing a high disease burden. Few studies have examined the relationship between body composition (BC) measures and the prevalence of CRC. Our purpose was to investigate the relationship between pertinent BC indicators and CRC.MethodsBioelectrical impedance analysis, laboratory test results, face-to-face questionnaire investigation, and nutritional risk assessment (Nutritional Risk Screening 2002 and Patient-Generated Subjective Global Assessment) were used in this case-control study. Bioelectrical impedance analysis in the case group was performed prior to antitumor therapy/surgery.ResultsFrom June 2018 to January 2019, a total of 303 cases and 286 controls were included. The results showed that low body fat percentage (BFP) and high visceral adiposity index (VAI) groups had a higher risk of developing CRC in comparison to the normal BFP and normal VAI groups. The risk of CRC decreased with the increase of BFP. The group with a normal BC had a lower risk of developing CRC compared to those with a greater VAI and a lower BFP, as indicated by the results of the pairwise and total combinations of VAI, fat-free mass index (FFMI), and BFP. Additionally, FFMI and VAI had positive correlations with prealbumin, serum albumin, and nutritional risk scores.ConclusionLow BFP and high VAI are associated with higher CRC risk. FFMI and VAI are positively correlated with prealbumin, serum albumin, and nutritional risk scores in CRC patients.

A STUDY OF ASSOCIATION AMONG BODY COMPOSITION AND KHAT CHEWING AMONG THE EMPLOYEES OF UNIVERSITY OF SCIENCE AND TECHNOLOGY, SANA’A, YEMEN

Catha edulis (khat) is a plant grown commonly in the Republic of Yemen. The leaves of small khat are chewed by the people for its stimulant action. Association between body composition, khat chewing is little known. We recruited 300 individuals 19-70 years of age from University of Science and Technology, Sana’a, Yemen. Demographic, body composition and physical activity data were collected using structured questionnaires and anthropometric measurements devices. Muscle mass (kg), body fat (kg), visceral fat (kg), waist circumference (cm) and body Mass index (kg/m2) were estimated. Participants in habit of khat chewing were 170 (56.7%) of Chewer and 130 (43.3%) of non-chewer. Participants’ mean ± SD of age was 38.7±9 years, 217 (72.3%) and 83 (27.7%) were males and females, respectively. Including 40 (13.3%) smokers and 260 (86.7%) non-smokers. Whereas 151 (88.8%) of the men and 19 (11.2%) of the women take khat, including 39 (22.9%) academics and 131 (77.1%) non-academics. In addition, 46 (27.1%) have low activity and 105 (61.8%) %) had moderate activity and 19 (11.2%) had high activity. Participants in daily khat chewing were 77 (45.3%) while 14 (8.2%), 43 (25.3%), 36 (21.2%) were 4-6 times/week, 2-3 times/week and Once/week, respectively. Participants spent an average of 4.5±2 hours per day in khat chewing sessions, with 52.9% spending 1-4 hours, 43.5% spending 5-8 hours, and 3.5% spending more than 8 hours. The majority of khat chewers reported spending around 2000 Yemeni Riyals (Y.R.) per day on khat. In terms of the impact on meal schedules, 38.8%. Khat chewers had higher muscle mass (33±6), lower body fat percentages (27.8±9), higher levels of visceral fat (9.3±4), larger waist circumferences (88.4±10) and slightly higher BMI values (25.9±4) compared with non-chewers were muscle mass (29.9±7), body fat percentages (31±12 levels of visceral fat (7.8±4), waist circumferences (82.6±11) and BMI values (24.9±4). In addition to, males khat chewers had higher muscle mass, higher visceral fat levels and higher waist circumferences values in compared with females where were muscle mass, visceral fat levels and waist circumferences low. There is no significant association between khat chewers’ status and excess body fat.

The 300 Marines: characterizing the US Marines with perfect scores on their physical and combat fitness tests.

Determine distinguishing characteristics of the "300 Marines" (perfect PFT and CFT scores) that may provide insights into the physical and physiological requirements associated with this capability. These tests have been refined over time to reflect physical capabilities associated with Marine Corps basic rifleman performance. Data were analyzed from US Marines, including 497 women (age, 29 ± 7years; height 1.63 ± 0.07m; body mass, 67.4 ± 8.4kg) and 1,224 men (30 ± 8years; 1.77 ± 0.07m; 86.1 ± 11.1kg). Marines were grouped by whether they earned perfect 300 scores on both the PFT and CFT (300 Marines) or not. We analyzed group differences in individual fitness test events and body composition (dual-energy x-ray absorptiometry). Only 2.5% (n = 43) of this sample earned perfect PFT and CFT scores (n = 21 women; n = 22 men). Compared to sex-matched peers, 300 Marines performed more pull-ups, with faster three-mile run, maneuver-under-fire, and movement-to-contact times (each p < 0.001); 300 Marines of both sexes had lower fat mass, body mass index, and percent body fat (each p < 0.001). The lower percent body fat was explained by greater lean mass (p = 0.041) but similar body mass (p = 0.085) in women, whereas men had similar lean mass (p = 0.618), but lower total body mass (p = 0.025). Marines earning perfect PFT and CFT scores are most distinguished from their peers by their maneuverability, suggesting speed and agility capabilities. While both sexes had considerably lower percent body fat than their peers, 300 Marine women were relatively more muscular while men were lighter.

Comparison of Age-Related Decline and Behavioral Validity in C57BL/6 and CB6F1 Mice.

Variability in physical resilience to aging prompts a comprehensive examination of underlying mechanisms across organs and individuals. We conducted a detailed exploration of behavioral and physiological differences between C57BL/6 and CB6F1 mice across various age groups. In behavioral assays, B6 mice displayed superior performance in rotarod tasks but higher anxiety while CB6F1 mice exhibited a decline in short-term memory with age. Grip strength, long-term memory, and voluntary wheel running declined similarly with age in both strains. Examining physiological phenotypes, B6 mice exhibited lower body fat percentages across ages compared to CB6F1 mice, though cataract severity worsened with age in both strains. Analysis of cardiac functions revealed differences between strains, with worsening left ventricular hypertrophy and structural heart abnormalities with age in CB6F1 mice along with higher blood pressure than B6. Lesion scores showed an age-related increase in heart, kidney, and liver lesions in both strains, while lung lesions worsened with age only in CB6F1 mice. This study underscores the validity of behavioral assays and geropathology assessment in reflecting age-related decline and emphasizes the importance of considering strain specificity when using mouse models to study human aging.

Resting Metabolic Rate in Indian Adolescents and Youth with Type 1 Diabetes Mellitus: A Case Controlled Study

Abstract Introduction: Energy metabolism in type 1 diabetes (T1D) is known to be different. Resting metabolic rate (RMR) accounts for the largest portion of total energy needs. The objective of our study was to assess resting metabolic rate and its determinants in adolescents and young adults with T1D in comparison with age- and gender-matched healthy controls. Methods: This cross-sectional study included 97 children and young adults (10–19 years) with type 1 diabetes having a disease duration of at least 1 year. For the control population, 95 age- and gender-matched healthy adolescents were enrolled. Clinical examination and biochemical evaluation of parameters pertaining to diabetes and body composition were estimated, and RMR was measured using indirect calorimetry for both cases and controls. Results: Adolescents with T1D were significantly shorter, and had significantly lower calorie intake, higher RMR and volume of oxygen consumed (VO2) as compared to the healthy controls (P &lt; 0.05). RMR adjusted for weight showed a significant positive correlation with lean body mass (LBM) percentage, and energy intake and a negative correlation with disease duration. Those with a T1D duration of less than 5 years demonstrated a significantly higher RMR, lower body fat percentage, higher LBM percentage, carbohydrate and energy intake/kg body weight and higher calculated insulin sensitivity (IS) as compared to those with greater disease duration. Muscle mass percentage and higher energy intake were found to be significant positive predictors and advancing age/diabetes duration was a negative predictor of weight-adjusted RMR (P &lt; 0.05), whereas IS and male gender tended towards significant negative association (P = 0.06). Conclusion: Indian children with type 1 diabetes had a higher resting metabolic rate as compared to healthy children. Muscle mass, energy intake and diabetes duration were observed to be important predictors of RMR in T1D. Reduction in RMR with advancing age/disease duration may predispose to weight gain and subsequent double diabetes in T1D.

Anthocyanins as Adjuvant Treatment for Non-alcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis.

Recent studies suggest a role for anthocyanins in the treatment of non-alcoholic fatty liver disease (NAFLD). The purpose of the present review was to assess the effect of anthocyanins as an adjuvant treatment in patients with NAFLD. The literature search was conducted on MEDLINE/PubMed, the Cochrane Central Register of Controlled Trials (CENTRAL), the Web of Science, and Scopus without language or time limits up to March 27, 2024. The primary outcomes included the severity of liver fibrosis and the level of liver transaminases. Secondary outcomes included obesity and lipid profile assessments. Standardized mean differences (SMDs) with 95% CIs were calculated for numerical outcomes. Five studies were included. The pooled effect sizes showed lower levels of liver fibrosis and liver transaminases in the anthocyanin group, but the difference was nonsignificant and small in size. The same result was obtained with anthropometric measurements of total cholesterol, low-density lipoprotein, and serum triglycerides, where effect sizes ranged from negligible to medium in magnitude but were all nonsignificant. The anthocyanin group showed a significantly lower body fat percentage (SMD = -0.41 (95%CI: -0.76; -0.06), P = 0.021). Currently, no evidence is available on the efficacy of anthocyanins in improving liver fibrosis or dyslipidemia in patients with NAFLD. There is limited evidence that anthocyanins can lower body fat percentages, but the effect was not reflected in the pooled results of other obesity indices. The few available clinical trials showed several limitations and variations regarding the doses of anthocyanins. Future clinical trials should avoid the limitations of the current studies and provide evidence supporting or refuting the use of anthocyanins in NAFLD patients.

Phthalate and phthalate replacement concentrations in relationship to adiposity in a multi-racial cohort of children

Background/ObjectivePhthalates and phthalate replacements are used in multiple everyday products, making many of them bioavailable to children. Experimental studies suggest that phthalates and their replacements may be obesogenic, however, epidemiologic studies remain inconsistent. Therefore, our objective was to examine the association between phthalates, phthalate replacements and childhood adiposity/obesity markers in children.Subjects/MethodsA cross-sectional study was conducted in 630 racial/ethnically diverse children ages 4–8 years. Urinary oxidative metabolites of DINCH and DEHTP, three low molecular weight (LMW) phthalates, and eleven high molecular weight (HMW) phthalates were measured. Weight, height, waist circumference and % body fat were measured. Composite molar sum groups (nmol/ml) were natural log-transformed. Linear regression models adjusted for urine specific gravity, sex, age, race-ethnicity, birthweight, breastfeeding, reported activity level, mother’s education and pre-pregnancy BMI.ResultsAll children had LMW and HMW phthalate metabolites and 88% had DINCH levels above the limit of detection. One unit higher in the log of DINCH was associated with 0.106 units lower BMI z-score [β = −0.106 (95% CI: −0.181, −0.031)], 0.119 units lower waist circumference z-score [β = −0.119 (95% CI: −0.189, −0.050)], and 0.012 units lower percent body fat [β = −0.012 (95% CI: −0.019, −0.005)]. LMW and HMW group values were not associated with adiposity/obesity.ConclusionsWe report an inverse association between child urinary DINCH levels, a non-phthalate plasticizer that has replaced DEHP in several applications, and BMI z-score, waist circumference z-score and % body fat in children. Few prior studies of phthalates and their replacements in children have been conducted in diverse populations. Moreover, DINCH has not received a great deal of attention or regulation, but it is a common exposure. In summary, understanding the ubiquitous nature of these chemical exposures and ultimately their sources will contribute to our understanding of their relationship with obesity.

Discriminating factors of body composition characteristics for academic performance in nursing college students: a cross-sectional study

BackgroundPoor body composition may affect health status, and better body composition is often associated with better academic performance. Nursing students face heavy academic and practical pressures, and the relationship between body composition and academic performance in this group is not fully understood.MethodsThis cross-sectional observational study used de-identified student data from a university of technology in southern Taiwan to analyze the correlation between body composition characteristics and academic performance using regression models.ResultsA total of 275 nursing college students were divided into four groups according to academic performance. The group with the lowest academic performance had a lower percentage of body fat (P < 0.05) but a higher percentage of muscle mass (P < 0.05) than the other three groups. Academic performance was positively correlated with percentage of body fat (R = 0.16, P < 0.01) and body age (R = 0.41, P < 0.01), but was negatively correlated with percentage of muscle mass (R = − 0.16, P < 0.01). Percentage of body fat, visceral fat area, and body age were significant discriminators of academic performance (P < 0.05).ConclusionsThe relationship between academic performance and body composition among nursing college students is not straightforward. Contrary to our initial hypothesis, students with higher academic performance tended to have a higher percentage of body fat and a lower percentage of muscle mass. Percentage of body fat, visceral fat area, and body age were significant discriminators of academic performance, indicating that body composition should be considered an important factor in nursing education and practice.

Associations between temporal eating patterns and body composition in young adults: a cross-sectional study.

The aim of this study was to examine the associations between body composition and temporal eating patterns, including time of first eating occasion, time of last eating occasion, eating window, and eating jet lag (the variability in meal timing between weekdays and weekends). A total of 131 participants were included in the study. Temporal eating pattern information was collected through consecutive 7-day eat timing questionnaires and photographic food records. Body composition was assessed by bioelectrical impedance analysis. Multiple linear regression models were used to evaluate the relationships of temporal eating patterns with body composition, and age was adjusted. Eating midpoint was additionally adjusted in the analysis of eating window. On weekdays, both later first eating occasion and last eating occasion were associated with lower lean mass, and longer eating window was associated with lower body fat percentage. On weekends, both later first eating occasion and last eating occasion were associated with lower lean mass, and longer eating window was associated with higher FFMI. Longer first eating occasion jet lag was associated with lower lean mass. Our study suggested that earlier and more regular eating patterns may have a benefit on body composition.

Maternal Exercise Improves Infant Mesenchymal Stem Cell Lipid Storage and Oxidation, and Decreases Infant Adiposity

Rates of pediatric obesity are continuously rising and are likely to translate into high incidence of metabolic disease later in life. Maternal exercise during pregnancy has been established as a useful non-pharmacological intervention to improve infant metabolic health; however, mechanistic insight behind these adaptations remains mostly confined to animal models. Infant mesenchymal stem cells (MSCs) give rise to a multitude of infant peripheral tissue (e.g., skeletal muscle) and remain involved in mature tissue repair and maintenance. Importantly, these cells preserve the phenotype of an offspring donor and represent a model for the investigation of mechanisms behind infant metabolic health improvements. We used undifferentiated MSC collected during a randomized controlled trial to investigate if maternal exercise, regardless of exercise mode, affects infant adiposity and fatty acid oxidation. Compared to control, we observed &gt;160% higher neutral lipid content in Ex-MSCs (p&lt;0.01). However, this finding was coupled with significantly higher complete fatty acid oxidation to CO2 and lower incomplete fat oxidation (ASM production) in Ex-MSCs (p≤0.05). Infants in the exercise group had significantly lower body fat percentage compared to same age infants of controls at one month of age (p≤0.05). There was no difference in lean body mass volume (p&gt;0.05) or infant one-month BMI (p=0.069). Together, these data indicate that maternal exercise exposure in utero is still associated with decreased infant adiposity one month after birth. MSC lipid content was positively associated with maternal fitness and exercise volume (p&lt;0.01) during pregnancy. Finally, an increase in average maternal exercise volume (MET*min/wk; r=-0.4, p≤0.05) and total gestational MET*min (r=-0.36, p≤0.05), but not VO2max (p=0.07) was associated with infant 1-month body fat percentage. Together, these data showcase the influence of maternal exercise exposure on improvements in cellular metabolism and at 1 month of age. Collectively, our data suggests that exposure to maternal exercise could contribute to lower adiposity in early infancy. This project was supported by the American Heart Association (18IPA34150006 to L.E.M.). This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Olfactory genes affect major depression in highly educated, emotionally stable, lean women: a bridge between animal models and precision medicine

Most current approaches to establish subgroups of depressed patients for precision medicine aim to rely on biomarkers that require highly specialized assessment. Our present aim was to stratify participants of the UK Biobank cohort based on three readily measurable common independent risk factors, and to investigate depression genomics in each group to discover common and separate biological etiology. Two-step cluster analysis was run separately in males (n = 149,879) and females (n = 174,572), with neuroticism (a tendency to experience negative emotions), body fat percentage, and years spent in education as input variables. Genome-wide association analyses were implemented within each of the resulting clusters, for the lifetime occurrence of either a depressive episode or recurrent depressive disorder as the outcome. Variant-based, gene-based, gene set-based, and tissue-specific gene expression test were applied. Phenotypically distinct clusters with high genetic intercorrelations in depression genomics were found. A two-cluster solution was the best model in each sex with some differences including the less important role of neuroticism in males. In females, in case of a protective pattern of low neuroticism, low body fat percentage, and high level of education, depression was associated with pathways related to olfactory function. While also in females but in a risk pattern of high neuroticism, high body fat percentage, and less years spent in education, depression showed association with complement system genes. Our results, on one hand, indicate that alteration of olfactory pathways, that can be paralleled to the well-known rodent depression models of olfactory bulbectomy, might be a novel target towards precision psychiatry in females with less other risk factors for depression. On the other hand, our results in multi-risk females may provide a special case of immunometabolic depression.

Inflammatory Bowel Disease exercise and diet (IBDeat) habits study: exploring lifestyle habits and cardiometabolic disease risk factors

Patients with inflammatory bowel disease (IBD) have higher risk of developing cardiometabolic diseases due to chronic gut and systemic inflammation which promotes atherogenesis. Adopting healthy lifestyle habits can prevent development of cardiometabolic diseases, but can be challenging for people with IBD. The IBD exercise and diet (IBDeat) habits study describes the lifestyle habits and cardiometabolic disease risk factors of adults with IBD in Aotearoa, New Zealand (NZ).This is a cross-sectional study including adult NZ IBD patients recruited online via Crohn’s and Colitis NZ and Dunedin hospital from 2021 to 2022. An online questionnaire collected demographics, smoking status, comorbidities, medications, disease severity scores, quality of life, physical activity, and dietary intake. The Dunedin cohort had physical measurements taken including anthropometrics, handgrip strength, blood pressure, body composition (bioelectrical impedance), blood nutritional markers, and faecal calprotectin. Data were compared to established reference values and linear regression analysis investigated associations between lifestyle habits and cardiometabolic risk factors. The study received University of Otago ethical approval (reference: H21/135). A total of 213 adults with IBD (54% Crohn’s disease; 46% ulcerative colitis) completed the online questionnaire and a subset of 102 from Dunedin provided physical measurements. Participants characteristics were: median age 37 (IQR 25, 51) years, 71% female, 82% NZ European, 4% smokers, and 1.4% had active IBD. Thirty-five percent of participants had at least one comorbidity and 34% of participants had poor quality of life. Known dietary risk factors associated with cardiometabolic diseases were common: low intakes of vegetables (77%), fruit (51%), fibre (35%) and high intakes of total fat (84%) and saturated fat (98%). Physical activity recommendations were met by 61% of participants and 63% reported barriers to being more active from fatigue (63%) and joint pain (54%). Other cardiometabolic risk factors were common in the Dunedin cohort: high LDL (79%) and total cholesterol (76%), central adiposity (64%), high body fat percentage (44%), high blood pressure (26%), and low handgrip strength (25%). Regression analysis showed that vegetable (per serve) and carbohydrate (per 5% of total daily energy intake (TE)) were associated with 0.22 mmol/L (95%CI 0.43, 0.013) and 0.20 mmol/L (95%CI 0.34, 0.057) lower LDL cholesterol. Discretionary food items were associated with higher LDL cholesterol, 0.11 mmol/L per daily serve (95%CI 0.028, 0.19). A 5% difference in TE intake from carbohydrate was associated with 1.11% (95%CI 2.22%, 0.0038%) lower body fat percentage while protein was associated with 3.1% (95%CI 0.81%, 5.39%) higher body fat percentage. Physical activity had weak associations with cardiometabolic disease risk factors. Adults with IBD have multiple modifiable risk factors for cardiometabolic diseases. Vegetable and carbohydrate intake were associated with lower LDL cholesterol concentration while discretionary food items showed otherwise. Protein intake was associated with higher body fat percentage.

Seasonal Changes in Body Composition in Elite Male Handball Players

Having knowledge of an athlete's body composition values enables individuals to assess their physical condition and performance. It has become increasingly important in recent years to demonstrate the significant relationship between body composition and athletes' physical performance. The aim of this study is to examine the changes in body composition of elite male handball players during preparation and competition periods (42 weeks). Twenty-three elite male handball players volunteered for this study The Tanita brand body analysis device was used to evaluate body composition and eight measurements were taken. Athletes were divided according to their playing positions (playmakers n=8 and goalkeepers n=4, wings n=7 and pivots n=4). 7 measurements were evaluated, which were weight (W), body fat percentage (BF%), fat mass (FM), muscle mass (MM), total body water (TBW), body mass index (BMI), and basal metabolic rate (BMR). Wing players had lower body fat percentage and body fat mass than all other playing positions and regardless of position, all athletes' body fat percentage and body fat mass significantly decreased at T2 (p&amp;lt;0.05). As a result, increase in body fat percentage and fat mass was observed during the competition period, and this increase continued (p&amp;lt;0.05). The increase in fat mass during the competition period may be due to different training content and higher training intensity during the preparation period, changes in nutrition habits due to camps, long trips, and tournaments, as well as the ef-fects of fatigue and stress. Further studies are needed in these areas.