Changes In Body Composition Research Articles

Examining variations in body composition among patients with colorectal cancer according to site and disease stage

Patients with colorectal cancer (CRC) often exhibit changes in body composition (BC) which are associated with poorer clinical outcomes. Many studies group colon and rectal cancers together, irrespective of staging, potentially affecting assessment and treatment strategies. Our study aimed to compare BC in patients with CRC focusing on tumor location and metastasis presence. A total of 635 individuals were evaluated, with a mean age of 61.8 ± 12.4 years and 50.2% female. The majority had rectal cancer as the primary cancer site (51.0%), and 23.6% had metastatic disease. The first regression model showed tumor site and metastasis as independent factors influencing skeletal muscle (SM), skeletal muscle index (SMI), and visceral adipose tissue variability (all p values < 0.05). The second model, adjusted for BMI, indicated tumor site as the primary factor affecting SMI variations (adjusted R2 = 0.50 p < 0.001), with colon tumors inversely associated with SM (standardized β − 2.15(− 3.3; − 0.9) p < 0.001). A third model, considering all the confounders from the directed acyclic graphs, was constructed and the found association remained independent. Our findings highlight significant BC variations in patients with CRC, influenced by tumor location and metastases presence, underscoring the need for location-specific assessment in CRC management.

Evaluation of Change in Body Composition, including Phase Angle, in Post-Myocardial Infarction Patients Rehabilitated under the KOS-Zawał (MC-AMI) Programme

Background: Ischaemic heart disease, including myocardial infarction, is one of the main causes leading to heart failure as a consequence of ischaemic myocardial damage. In recent years, survival in the acute phase of myocardial infarction has improved significantly, but the high mortality rate within 12 months of hospital discharge (reaching up to 9.8% in Poland) remains a challenge. Therefore, the KOS-Zawał (MC-AMI) comprehensive 12-month post-MI care programme was introduced in Poland in 2017. Aim: This study aimed to assess body composition (including, but not limited to, the phase angle, visceral fat, total body fat, redistribution between intracellular and extracellular fluid in the body, and metabolic age) using a bioelectrical impedance analysis (BIA) in post-MI patients before and after early post-MI rehabilitation who were participating in the KOS-Zawał (MC-AMI) programme. Methods: This study involved an examination (before rehabilitation) of 94 post-myocardial infarction patients who were referred to a cardiology appointment within 7–10 days of hospital discharge, during which a clinical assessment, electrocardiogram, and biochemical blood tests (complete blood count, CRP, and serum creatinine) were performed. For various reasons (death, qualification for device implantation, non-completion of rehabilitation, failure to attend a follow-up BIA), data from 55 patients who were examined twice (before and after rehabilitation) were used for the final analysis. Measurements were taken using a high-grade Tanita MC-780 BIA body composition analyser, which measured the resistance of tissues to a low-intensity electrical impulse (not perceptible to the subject). Results: Participation in rehabilitation as part of the KOS-Zawał (MC-AMI) programme was associated with a decrease in metabolic age in patients, with a reduction in visceral fat levels and levels of adipose tissue in the lower and upper limbs. Moreover, a clinically beneficial reduction in the ratio of extracellular water to total body water was also observed. These changes were statistically significant (p &lt; 0.005). In contrast, there were no statistically significant differences in the change in phase angle values in the subjects before and after the 5-week post-infarction rehabilitation. Conclusions: Participation in early post-myocardial infarction rehabilitation as part of the KOS-Zawał (MC-AMI) programme (25 training sessions) is associated with significant improvements in body composition parameters, such as visceral adipose tissue, limb fat, and water redistribution, and, consequently, a reduction in metabolic age, despite no significant increase in phase angle values. It was hypothesised that the good baseline condition of the subjects might explain the lack of significant change in the phase angle over the short observation period. For further analysis, it would be worthwhile to increase the number of patients with baseline reduced phase angle values and monitor changes in this parameter throughout rehabilitation and the entire MC-AMI programme, because changes in the phase angle may also be influenced by other programme components such as dietary or psychological education. It is worth considering implementing a regular BIA assessment in patients in the programme as a motivating stimulus for diligent exercise and extending rehabilitation to be followed by telerehabilitation or hybrid telerehabilitation.

Associations of body composition with physical activity, nutritional intake status, and chronotype among female university students in Japan

BackgroundHaving higher muscle mass in early adulthood is an important factor in preventing sarcopenia. However, university students undergo lifestyle changes compared to their high school years, which may lead to changes in body composition, such as an increase in body fat and a decrease in muscle mass. The study aimed to investigate the association between body composition and lifestyle behaviors, including chronotype, among Japanese female university students, due to the prevalence of underweight among young females in the country.MethodsThe physical activity level (PAL), daily dietary intake status, morningness-eveningness questionnaire (MEQ) score, and body composition of 230 students were assessed in this cross-sectional study. Body composition was measured using a multifrequency bioelectrical impedance analyzer, and body mass index (BMI), body fat percentage (%BF), and skeletal muscle mass index (SMI) were determined.ResultsIndividuals who were evening type (ET) had a higher %BF and lower SMI than those who were non-ET, but no differences in body weight or BMI were found. Although ET individuals had lower total energy intake, protein intake, and PALs than non-ETs, the differences were small. However, multiple regression analyses showed that SMI was significantly positively associated with MEQ and PAL, and %BF was significantly negatively associated with MEQ and PAL.ConclusionThese results suggest that female university students with lateness of chronotype and low physical activity have a body composition imbalance resulting in higher body fat and lower muscle mass. Therefore, young females may need to take chronotype-specific measures (especially ET individuals) to help them maintain an appropriate body composition.

Frailty in midlife as a predictor of changes in body composition from midlife into old age: a longitudinal birth cohort study.

Few studies have investigated the association between frailty and subsequent body composition. We performed separate linear mixed model analyses to study the associations between changes in the participants frailty status assessed by a frailty index (FI) and subsequent body mass index (BMI), lean mass index (LMI), fat mass index (FMI), and FMI to LMI-ratio values assessed on three occasions over 17 years. The analyses were carried out among 996 participants spanning from age 57 to 84 years. With advancing age, LMI and BMI decreased, whereas FMI and FMI to LMI -ratio increased. Participants with 'stable frailty', followed by those with 'increasing frailty' experienced faster decreases in LMI and faster increases in FMI and FMI to LMI -ratio values from midlife into old age relative to those in the group 'stable not frail'. Contrastingly, those in the highest third of absolute annual increase in FMI and FMI to LMI -ratio became more frail faster from midlife into old age relative to those in the lowest third. We found evidence of an adverse health outcome of frailty where lean indices declined faster and fat indices and fat to lean -ratios increased faster from midlife into old age. The changes resembled those that occurred with aging, but at a faster pace. The relationship between body composition and frailty is likely bidirectional, where high or increasing levels of fat are associated with the risk of becoming more frail earlier, but where a longer duration of frailty may increase the risk of faster age-related changes to body composition.

Investigating the effects of synbiotic supplementation on functional movement, strength and muscle health in older Australians: a study protocol for a double-blind, randomized, placebo-controlled trial

BackgroundAging has been associated with a progressive loss of skeletal muscle quality, quantity and strength, which may result in a condition known as sarcopenia, leading to a decline in physical performance, loss of independence and reduced quality of life. While the cause of impaired physical functioning observed in elderly populations appears to be multifactorial, recent evidence suggests that age-associated alterations in gut microbiota could be a contributing factor. The primary objective will be to assess the effects of a dietary synbiotic formulation on sarcopenia-related functional outcomes such as handgrip strength, gait speed and physical performance within older individuals living independently. The secondary objective will be to examine associations between changes in gut microbiota composition, functional performance and lean muscle mass.MethodsSeventy-four elderly (60–85 years) participants will be randomized in a double-blind, placebo-controlled fashion to either an intervention or control group. The intervention group (n = 37) will receive oral synbiotic formulation daily for 16 weeks. The control group (n = 37) will receive placebo. Assessments of physical performance (including Short Physical Performance Battery, handgrip strength and timed up-and-go tests) and muscle ultrasonography will be performed at 4 time points (baseline and weeks 8, 16 and 20). Likewise, body composition via bioelectric impedance analysis and blood and stool samples will be collected at each time point. Dual-energy X-ray absorptiometry will be performed at baseline and week 16. The primary outcomes will be between-group changes in physical performance from baseline to 16 weeks. Secondary outcomes include changes in body composition, muscle mass and architecture, fecal microbiota composition and diversity, and fecal and plasma metabolomics.DiscussionGut-modulating supplements appear to be effective in modifying gut microbiota composition in healthy older adults. However, it is unclear whether these changes translate into functional and/or health improvements. In the present study, we will investigate the effects of a synbiotic formulation on measures of physical performance, strength and muscle health in healthy older populations.Trial registrationThis study was prospectively registered with the Australian New Zealand Clinical Trials Registry (ACTRN12622000652774) in May 2022.

Body composition changes and satisfaction associated with gender-affirming hormone therapy in transgender men

Body composition changes and satisfaction associated with gender-affirming hormone therapy in transgender men

Early changes in muscle strength and body composition under gender-affirming hormonal therapy in transgender people assigned female at birth

Early changes in muscle strength and body composition under gender-affirming hormonal therapy in transgender people assigned female at birth

Quarterly Percentual Change in Height, Weight, Body Fat and Muscle Mass in Young Football Players of Different Categories

Quarterly Percentual Change in Height, Weight, Body Fat and Muscle Mass in Young Football Players of Different Categories

Impacts of protein quantity and distribution on body composition

The importance of meal distribution of dietary protein to optimize muscle mass and body remains unclear, and the findings are intertwined with age, physical activity, and the total quantity and quality of protein consumed. The concept of meal distribution evolved from multiple discoveries about regulating protein synthesis in skeletal muscle. The most significant was the discovery of the role of the branched-chain amino acid leucine as a metabolic signal to initiate a post-meal anabolic period of muscle protein synthesis (MPS) in older adults. Aging is often characterized by loss of muscle mass and function associated with a decline in protein synthesis. The age-related changes in protein synthesis and subsequent muscle atrophy were generally considered inevitable until the discovery of the unique role of leucine for the activation of the mTOR signal complex for the initiation of MPS. Clinical studies demonstrated that older adults (&amp;gt;60 years) require meals with at least 2.8 g of leucine (~30 g of protein) to stimulate MPS. This meal requirement for leucine is not observed in younger adults (&amp;lt;30 years), who produce a nearly linear response of MPS in proportion to the protein content of a meal. These findings suggest that while the efficiency of dietary protein to stimulate MPS declines with aging, the capacity for MPS to respond is maintained if a meal provides adequate protein. While the meal response of MPS to total protein and leucine is established, the long-term impact on muscle mass and body composition remains less clear, at least in part, because the rate of change in muscle mass with aging is small. Because direct diet studies for meal distribution during aging are impractical, research groups have applied meal distribution and the leucine threshold to protein-sparing concepts during acute catabolic conditions such as weight loss. These studies demonstrate enhanced MPS at the first meal after an overnight fast and net sparing of lean body mass during weight loss. While the anabolic benefits of increased protein at the first meal to stimulate MPS are clear, the benefits to long-term changes in muscle mass and body composition in aging adults remain speculative.

Abstract PO2-08-10: Effect of 6 months of bazedoxifene + conjugated estrogens on body composition and insulin resistance

Abstract Menopause transition is often marked by an acceleration of visceral fat accumulation. Excess visceral fat is associated with insulin resistance and increased risk for breast cancer as well as heart disease and diabetes. We measured change in body composition (via iDXA), fasting insulin and glucose as part of an ongoing, Phase IIB trial (NCT04821141) of 6 months of bazedoxifene (BZA) + conjugated estrogen (CE) vs control with primary endpoints of change in mammographic density and breast tissue Ki-67. Participants are women ages 45-60 with vasomotor symptoms at increased risk for development of breast cancer. Methods: Visceral and total fat, lean, and total mass, were measured with iDXA (GE CoreScan™). Fasting plasma was assayed same day as drawn for total insulin using a chemiluminescence assay and glucose using a hexokinase method. Values generated were used to calculate HOMA IR (as a measure of insulin resistance) using the formula insulin µl/ml x glucose mg/dl/405. HOMA %S was calculated as 1/HOMA IR X100 as a measure of insulin sensitivity. Optimal HOMA IR is considered as ≤1; HOMA IR &amp;gt;1.5 is considered abnormal with &amp;gt;2.0 as evidence of insulin resistance. Optimal HOMA %S is 100%. Results: 24 women (12 BZA+CE, 12 Control) have completed baseline and 6-month body composition and insulin resistance assessments. Women randomized to BZA+CE were more likely to experience reduction in insulin resistance and improved insulin sensitivity despite a small weight gain over the initial 6 months. 7/12 randomized to BZA+CE had ≥15% reduction in HOMA IR vs only 2/12 controls. Three participants had HOMA IR &amp;gt;2 at baseline. Of these, one was randomized to BZA+CE and had a normal HOMA IR value at 6 months. The remaining two women were in the control group and saw no improvement in HOMA IR at 6 months. In addition, one woman randomized to control with normal HOMA-IR at baseline had HOMA IR &amp;gt; 2 at 6 months. Next Steps: The improvements in insulin resistance parameters with BZA+CE are similar to those observed in our rodent studies, supporting this combination as promising for use in breast cancer risk reduction in women with vasomotor symptoms at high-risk for metabolic disease. Citation Format: Carol Fabian, Adrian Zelenchuk, Kandy Powers, Amy Kreutzjans, Krystal Pittman, Bill Hendry, Christy Altman, Erin Giles, Katherine L. Cook, Stephen Hursting, Bruce Kimler. Effect of 6 months of bazedoxifene + conjugated estrogens on body composition and insulin resistance [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-08-10.

Abstract PO1-11-09: Body composition correlates with BMI and menopausal status in patients with breast cancer

Abstract Background: Obesity is associated with higher risk of breast cancer (BC)-related death, all-cause mortality, and recurrence. While used to estimate body fat, body mass index (BMI) is insensitive to body fat distribution and lean muscle mass. We hypothesized that BMI categories (BMI 18.5-24.9 [healthy], 25-29.9 [overweight], and ≥30 kg/m2 [obesity]) would not correlate with CT-derived body composition. Methods: We retrospectively identified 180 patients diagnosed with new or recurrent Stage I-IV BC who presented to Johns Hopkins from 2015-2018 and were part of an institutional database. We extracted demographics, diagnosis date, cancer characteristics, BMI, and CT abdomen pelvis scans from the medical record. Baseline BMI was defined as the closest measurement to diagnosis between 1 year prior and 1 month after diagnosis. Baseline CT was within 6 months of and closest to the baseline BMI date. Fully automated deep-learning algorithms identified L1 and performed muscle and adipose tissue segmentation and quantification. Body composition data included: cross-sectional areas (CSA) of subcutaneous, visceral, and total adipose tissue; the mean, median, and standard deviation of the average of the muscle attenuation (density); and the body wall musculature CSA. ANOVA tests assessed associations between body composition, BMI, and menopausal status. Results: Among 180 patients, 136 (76%) had early-stage BC, and 44 (24%) had metastatic BC. Most patients were women (98%) and non-Hispanic (94%). Patients identified as White (57%), Black (29%), Asian (6%), and Other Race (8%). Sixty percent were post-menopausal. Hormone receptor-positive, HER2-positive, and triple negative subtypes were 56%, 19% and 22%, respectively. At diagnosis, 24% had a healthy BMI while 36% and 41% had overweight and obesity, respectively. All body composition measures were significantly associated with BMI (Table 1). As BMI increased, the average body wall musculature and subcutaneous, visceral, and total adipose tissue CSAs increased while the average muscle attenuation decreased. Specifically, the average visceral adipose tissue CSAs were 2.7 and 4.0-fold larger for overweight and obesity compared to that of the healthy BMI group, respectively, while their average muscle attenuations were 62.4% and 40.6% of the healthy BMI group. Postmenopausal women had 1.5-fold higher visceral adipose tissue CSA and 44.7% less average muscle attenuation compared to premenopausal women. Conclusion: Body composition correlates with all BMI categories in primarily white, non-Hispanic women with breast cancer. As BMI increases, body composition changes reliably, with increased subcutaneous and visceral adipose tissue, increased muscle area, and decreased muscle density. Muscle density, not size/area, is more associated with muscle performance, which can relate to functional status and outcomes. Despite validity concerns, BMI is an accessible and economical surrogate for body adiposity in patients with breast cancer. Postmenopausal status was also associated with greater visceral and total adiposity and lower muscle density. Further investigation is needed to confirm these findings. Table 1: Correlation between body composition, BMI, and menopausal status in patients with breast cancer All measures of body composition were significantly associated with BMI. Visceral adipose tissue increased and muscle density decreased as BMI increased and with post-menopausal status. Citation Format: Terrence Tsou, Tingchang Wang, Amanda Blackford, Ronald Summers, Vered Stearns, Jennifer Sheng. Body composition correlates with BMI and menopausal status in patients with breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-11-09.

Abstract PO5-12-02: Landscape analysis of oncology nutrition research among patients being treated for breast cancer

Abstract The American Institute for Cancer Research/World Cancer Research Fund and the American Cancer Society regularly conduct systematic reviews on the evidence supporting nutrition interventions during cancer treatment. These reviews have found that the evidence to support clinical oncology nutrition practice guidelines is limited. It is unclear how many oncology nutrition studies are currently being conducted, especially among patients being treated for breast cancer. The goal of this project was to conduct a landscape analysis of nutrition research being conducted among breast cancer patients over the past 10 years. Methods: This analysis was part of a larger effort to describe the oncology nutrition research landscape for all cancer sites. Searches of ClinicalTrials.gov were performed on 1/8/2023 using the following search terms/combinations: “cancer AND nutrition”, “cancer nutrition”, “oncology AND nutrition”, “diet AND cancer”, “cancer, oncology, neoplasms, nutrition, diet”. Search results were downloaded as .csv files and uploaded to RStudio for merging and data cleaning (elimination of duplicates, and exclusion of studies registered in ClinicalTrials.gov before 1/1/2013 or after 12/31/2022). The resulting harmonized dataset was then uploaded to REDCap, and each entry was reviewed for eligibility by one of the authors. To be included in this landscape analysis, studies must have included data collection from patients who were actively receiving cancer treatment at the time of the study and the study had to be first posted to ClinicalTrials.gov between 1/1/2013 and 12/31/2022. Studies were excluded if they: 1) focused on the role of diet in primary cancer prevention, 2) focused on cancer survivors who had completed primary treatment for their cancers. Following eligibility review, the study datafile was returned to RStudio for further cleaning and analysis. Results: The initial ClinicalTrials.gov search identified 4,345 unique study listings. After review, 1,267 studies met the inclusion criteria, of which 132 (10.4%) studies were specific to breast cancer (117 intervention studies and 15 observational studies). Among breast cancer studies, reasons for exclusion were: study focused on diet/nutrition in the prevention of a primary cancer diagnosis (n=40), study participants had already completed their cancer treatment (n=128), study did not include a diet/nutrition intervention or assessment (n=31). The largest number of breast cancer specific studies were based in the United States (n=55, 41.6%), Italy (n=11, 8.3%), France (n=10, 7.6%) and Canada (n=9, 6.8%). Dietary supplement interventions were the most common type of intervention (n=50 studies, 42.7%), followed by behavior change interventions (n=22, 18.8%), diet in relation to a drug intervention (n=25, 21.4%), diet in relation to a device/procedure/radiation intervention (n=16, 14%), fasting/time-restricted feeding studies (n=13, 11.1%) and ketogenic diet interventions (n=3, 2.6%). Changes in weight or body composition (n=52, 39.4%), quality of life (n=45, 34.1%), adverse events (n=24, 18.2%), survival (n=20, 15,2%) and fatigue (n=17, 12.9%) were the most common outcome measures. Sixteen (12.1%) studies were supported by NIH funding and 9 (6.8%) studies were industry funded, although the majority (n=124, 93.9%) reported funding from “other” sources. Of the 41 studies that started between 2013-2017 (five years prior to the January 2023 ClinicalTrials.gov search), only 21 (51.2%) were listed as being “completed” and of those, only 7 were listed as “has results”. Conclusion: More research is needed to support evidence-based supportive care guidelines for oncology nutrition interventions during breast cancer treatment. Efforts should be made to support researchers in completing studies and disseminating research findings. Citation Format: Kim Robien, Heather Wopat. Landscape analysis of oncology nutrition research among patients being treated for breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-12-02.

Temporal Trends in Body Composition and Metabolic Markers Prior to Diagnosis of Pancreatic Ductal Adenocarcinoma

Changes in body composition and metabolic factors may serve as biomarkers for the early detection of pancreatic ductal adenocarcinoma (PDAC). The aim of this study was to capture the longitudinal changes in body composition and metabolic factors prior to diagnosis of PDAC. We performed a retrospective cohort study in which all patients (≥18 years) diagnosed with PDAC from 2002 to 2021 were identified. We collected all abdominal CT scans and 10 different blood-based biomarkers up to 36 months prior to diagnosis. We applied a fully automated abdominal segmentation algorithm previously developed by our group for three-dimensional quantification of body composition on CT scans. Longitudinal trends of body composition and blood-based biomarkers prior to PDAC diagnosis were estimated using linear mixed models, compared across different time windows, and visualized using spline regression. We included 1,690 patients in body composition analysis, of whom 516 (30.5%) had ≥ 2 prediagnostic CT scans. For analysis of longitudinal trends of blood-based biomarkers, 3,332 individuals were included. As an early manifestation of PDAC, we observed a significant decrease in visceral and subcutaneous adipose tissue (β =-1.94 (95% CI, -2.39, -1.48) and β = -2.59 (95% CI, -3.17, -2.02 in area (cm2)/height (m2) per 6 months closer to diagnosis, accompanied by a decrease in serum lipids (e.g., LDL; β = -2.83; 95% CI, -3.31, -2.34, total cholesterol; β = -2.69; 95% CI, -3.18, -2.20, and triglycerides; β = -1.86; 95% CI, -2.61, -1.11), and an increase in blood glucose levels. Loss of muscle tissue and bone volume was predominantly observed in the last 6 months prior to diagnosis. This study identified significant alterations in a variety of soft tissue and metabolic markers that occur in the development of PDAC. Early recognition of these metabolic changes may provide an opportunity for early detection.

Changes in Bone Mineral Density in Patients With Non-dialysis-Dependent Chronic Kidney Disease Are Associated With Body Composition

Chronic kidney disease (CKD) and low bone mineral density (BMD) are highly prevalent and can co-exist. Parameters of mineral metabolism are associated with BMD in CKD, but other contributing factors may contribute. The aim of this study was to assess changes in BMD and its determinants in patients with non-dialysis-dependent CKD (NDD-CKD). Body composition and biochemical profiles were assessed in a retrospective hospital-based cohort study of patients with NDD-CKD. BMD, lean soft tissue (LST), appendicular LST (ALST), and percentage fat mass were assessed by dual-energy X-ray absorptiometry (DXA). ALST index (ALSTI, ALST/height2) and load-capacity index (LCI, fat mass/LST) were calculated. Low BMD was defined as t-score ≤-1.0. Mean time between assessments was 2.8±1.3 years, 46 patients were included. A reduction in renal function was observed. Changes in body composition included reductions in ALST (p=0.031), ALSTI (p=0.021) and a trend for BMD (p=0.053); and an increase in percentage fat mass (p=0.044) and LCI (p=0.032). Females had a reduction in BMD (p=0.034), ALST (p=0.026), and ALSTI (p=0.037). Patients with low BMD at baseline had lower LST (p=0.013), ALST (p=0.023), and percentage fat mass (p=0.037) than those with normal BMD. Additionally, reductions in LST (p=0.041), ALST (p=0.006), and ALSTI (p=0.008) were observed in patients who had low BMD at baseline, while no significant changes in body composition were observed in those with normal BMD at baseline. The following body composition parameters at baseline were determinants of BMD status at follow-up: LST (OR:0.899, 95%CI:0.829-0.976, p=0.010), ALST (OR:0.825, 95%CI:0.704-0.967, p=0.017), and ALSTI (OR:0.586, 95%CI:0.354-0.968, p=0.037), independent of fat mass, and LCI. Detrimental body composition changes were observed without changes in body weight; these were more significant in females. Moreover, this is the first longitudinal study showing a protective effect of LST against BMD loss in patients with NDD-CKD.

ARE THERE NON-RESPONDERS TO HIIT IN CANCER SURVIVORS? CHANGES IN CARDIORESPIRATORY FITNESS, BODY COMPOSITION AND SYSTEMIC INFLAMMATION

INTRODUCTION High intensity interval training (HIIT) has been shown to elicit significant improvements in VO2peak in cancer survivors. Only 46-60% of healthy individuals are reported to respond to exercise interventions, though this rate has not been investigated in cancer survivors. AIMS: To determine the response rate in cancer survivors over 28-weeks of HIIT as measured by changes in cardiorespiratory fitness. Secondarily, the study aimed to observe associations between changes in cardiorespiratory fitness, body composition and inflammatory markers. METHODS 131 survivors of breast, prostate or colorectal cancer were observed over 28-weeks of HIIT (4x4 minutes; 85-95% HRpeak). VO2peak, body composition and markers of systemic inflammation were assessed at baseline, four-, 16- and 28-weeks. An improvement in VO2peak of 3.5 ml.kg-1.min-1 was used as a standard of minimal clinically important difference (MCID). Body composition was measured using DEXA, and inflammatory markers were assessed for each timepoint. RESULTS 59.6% of participants improved their VO2peak greater than MCID (+3.5 ml.kg-1.min-1) and these individuals were retrospectively classified as responders. Responders showed improvements in VO2peak at four- and 16-weeks and maintained this change through to 28-weeks (0-4 weeks: +2.92 ml.kg-1.min-1, p&amp;lt;0.001; 0-16 weeks: +5.70 ml.kg-1.min-1, p&amp;lt;0.001; and 0-28 weeks: +5.30 ml.kg-1.min-1, p&amp;lt;0.001). No significant change in VO2peak was seen in non-responders (40.4%). Time since treatment, cancer type, and cancer treatment were all found to contribute to a model predicting VO2peak change (R=0.464, R2 = 21.5%., adj R2=16.1%, p&amp;lt;0.001). Body composition and inflammatory markers improved in response to training however were not associated with VO2peak change. CONCLUSIONS HIIT elicited a MCID in VO2peak in almost 60% of cancer survivors. Independent to VO2peak change and cancer type, survivors showed significant favourable changes in inflammation and body composition in response to training.

Fat loss and muscle gain: the possible role of cortical glutamate in determining the efficacy of physical exercise

BackgroundPhysical exercise is widely acknowledged for its health benefits, but its effectiveness in treating obesity remains contentious due to variability in response. Owing to the roles of glutamate in appetite regulation, food addiction, and impulsivity, this observational cohort-study evaluated medial prefrontal cortex (mPFC) glutamate as a predictor of variability in exercise response, specifically in terms of fat loss and muscle gain. MethodsHealthy non-exercising adult men (n = 21) underwent an 8-week supervised exercise program. Baseline glutamate levels in the mPFC were measured through magnetic resonance spectroscopy. For exercise-dependent changes in body composition (fat and muscle mass), basal metabolic rate (BMR), and blood metabolic biomarkers related to lipid and glucose metabolism, measurements were obtained through bioelectrical impedance and blood sample analyses, respectively. ResultsThe exercise program resulted in significant improvements in body composition, including reductions in percentage body fat mass, body fat mass, and waist-to-hip ratio and an increase in mean muscle mass. Furthermore, BMR and metabolic indicators linked to glucose and lipids exhibited significant changes. Notably, lower baseline glutamate levels were associated with greater loss in percentage body fat mass (r = 0.482, p = 0.027), body fat mass (r = 0.441, p = 0.045), and increase in muscle mass (r = -0.409, p = 0.066, marginal) following the exercise program. ConclusionThese preliminary findings contribute to our understanding of the neurobiology of obesity and emphasize the significance of glutamate in regulating body composition. The results also highlight cortical glutamate as a potential predictor of exercise-induced fat loss and muscle gain.

Analysis of Body Composition and Physical Fitness Variables of Korean Middle School Students: National Fitness Award (2018-2022)

OBJECTIVES The purpose of this study is to analyze the trend of yearly changes in adolescent body composition and health-related physical fitness variables using National Fitness Award.METHODS We sampled 209.924 adolescents (age: 13.99 ± 0.85) and investigated their body composition, muscle strength, and cardiopulmonary function. Subgroups by year (2018, 2019, 2020, 2021, 2022) were compared using one-way analysis of variance and frequency analysis tests.RESULTS In the subgroup classified by year, there were significant differences between groups in height, BMI, and gender, and there were significant differences between groups in relative grip strength, 20m PACER, and maximal oxygen consumption.CONCLUSIONS In conclusion, this study presents changes in body composition, muscle strength, and cardiopulmonary function by year as basic data to help understand adolescents' health conditions, and it is expected to provide data that can have a positive impact for future use as clinical and public health information.

Incretin-Based Weight Loss Pharmacotherapy: Can Resistance Exercise Optimize Changes in Body Composition?

This narrative review highlights the degree to which new antiobesity medications based on gut-derived nutrient-stimulated hormones (incretins) cause loss of lean mass, and the importance of resistance exercise to preserve muscle. Glucagon-like peptide 1 receptor agonists (GLP-1RA) induce substantial weight loss in randomized trials, effects that may be enhanced in combination with glucose-dependent insulinotropic polypeptide (GIP) receptor agonists. Liraglutide and semaglutide (GLP-1RA), tirzepatide (GLP-1 and GIP receptor dual agonist), and retatrutide (GLP-1, GIP, and glucagon receptor triple agonist) are peptides with incretin agonist activity that induce ∼15-24% weight loss in adults with overweight and obesity, alongside beneficial impacts on blood pressure, cholesterol, blood glucose, and insulin. However, these agents also cause rapid and significant loss of lean mass (∼10% or ∼6 kg), comparable to a decade or more of aging. Maintaining muscle mass and function as humans age is crucial to avoiding sarcopenia and frailty, which are strongly linked to morbidity and mortality. Studies indicate that supervised resistance exercise training interventions with a duration >10 weeks can elicit large increases in lean mass (∼3 kg) and strength (∼25%) in men and women. After a low-calorie diet, combining aerobic exercise with liraglutide improved weight loss maintenance compared with either alone. Retaining lean mass during incretin therapy could blunt body weight (and fat) regain on cessation of weight loss pharmacotherapy. We propose that tailored resistance exercise training be recommended as an adjunct to incretin therapy to optimize changes in body composition by preserving lean mass while achieving fat loss.

Dynamic changes in body composition during XELOX/SOX chemotherapy in patients with gastric cancer

ObjectivesIn this study, we compared the dynamic changes in body composition during XELOX/SOX chemotherapy in patients with gastric cancer. Furthermore, we investigated the potential impact of these changes on the occurrence of toxic side effects.MethodsPatients with gastric cancer who received adjuvant or first-line XELOX/SOX chemotherapy between January 2020 and June 2023 were enrolled. The Brief Conghua Scale was used to assess energy intake, and nutritional management was carried out with reference to the Chinese Guidelines for Nutritional Therapy of Cancer 2020. The NRS 2002 Nutritional Risk Screening Scale, PG-SGA scale, bioelectrical impedance analysis, and dynamic changes in lumbar 3 vertebral skeletal muscle index were compared between baseline and post-chemotherapy in the study. The neutropenia was evaluated using the Common Terminology Criteria for Adverse Events V.5.0, developed by the National Institutes of Health.ResultsDynamic follow-up was completed in 39 cases, with a mean follow-up time of 117.62 ± 43.38 days. The incidence of sarcopenia increased significantly after chemotherapy, escalating from 46.2% to 51.3%. After chemotherapy, the mean L3SMI decreased from 36.00 cm2/m2 to 34.99 cm2/m2. Furthermore, when compared to pre-chemotherapy values, the body composition indexes body mass index (BMI), SL3, fat mass free index (FFMI), lean body mass (LBM), and body surface area (BSA) were significantly reduced after chemotherapy. Regardless of baseline or post-chemotherapy status, the incidence of grade ≥ 3 neutropenia was significantly higher in the sarcopenia group than in the non-sarcopenia group. Furthermore, when the skeletal muscle index decreased during chemotherapy, the incidence of grade ≥ 3 neutropenia was significantly higher in both the sarcopenia and non-sarcopenia groups compared to baseline. When the incidence of grade ≥ 3 neutropenia in the post-chemotherapy sarcopenia group was compared to baseline status, the increase was significantly higher in the sarcopenia group than in the maintenance/increase group.ConclusionsSkeletal muscle mass decreased progressively during XELOX/SOX chemotherapy in gastric cancer patients, followed by a higher incidence of grade ≥ 3 neutropenia.

Biphasic Kinetics of IGF-I and IGFBP-3 in Response to Military Field Training in Brazilian Air Force Recruits.

Insulin-like growth factor type I (IGF-I) has gained considerable notoriety in military training, primarily because it is responsible for energy deficits and sensitive to an inadequate protein intake, which are situations that are commonly experienced in specific military operations. Therefore, this study aimed to assess the kinetics of IGF-I and insulin-like growth factor binding protein type 3 (IGFBP-3) in a 4-day military field training exercise. The sample comprised 12 male soldiers (21.71 ± 1.64 years). Changes were assessed at 3 times: time 1-basal (control week); time 2-after specific military field training; and time 3-1 week after the specific training (control week). Changes in body composition and serum levels of IGF-I and IGFBP-3 were observed. The main finding of this study was it verified the biphasic kinetics of both IGF-I and IGFBP-3 at the 3 times observed, that is, a significant drop from time 1 (basal-IGF-I: 189 ng/mL and IGFBP-3: 4.71 mg/L) to time 2 (immediately after military training-IGF-I: 162 ng/mL and IGFBP-3: 4.08 mg/L) and a subsequent recovery of these markers, with a significant increase from time 2 (immediately after military training) to time 3 (a week after military training-IGF-I: 199 ng/mL and IGFBP-3: 4.96 mg/L). It can be concluded that IGF-I and IGFBP-3 levels respond quickly to the stimuli caused by military training, especially after specific field training. However, the same markers quickly return to their basal values after this type of training finishes, simply by following the daily routine of the battalion in the control weeks, with no specific intervention being necessary.