Changes In Body Composition Research Articles

Post-transplant diabetes mellitus: Findings in nutritional status and body composition

IntroductionWeight gain and changes in body composition are associated with the onset of diabetes after kidney transplantation, and detailing these changes can help prevent this situation. The study aimed to assess the prevalence of diabetes mellitus after kidney transplantation and changes in the nutritional status and body composition in patients with diabetes one year from surgery. Materials and methodsThis survey was a single-center, prospective cohort study. Twenty-nine patients over 18 years old who underwent isolated kidney transplantation, without diabetes, were included and followed up for one year. At hospital discharge after transplantation and one year later, anthropometric (weight, height and abdominal circumference), body composition (electrical bioimpedance), routine biochemical and dietary intake assessments were performed. ResultsMost of the patients were male (75%), and the mean age was 48.0±11.8 years old. In the first-year post-surgery 27.6% of patients had DM and the diagnosis was made, on average, 4 months after transplantation. The group with diabetes had, from the beginning to the end of the study, greater weight and body fat, especially abdominal fat. The non-diabetic group, after one year, showed an increase in phase angle, body weight and body masses, more pronounced of fat-free mass, when compared with fat mass gain. ConclusionsBoth groups showed weight gain, but in the non-diabetic group these changes can be interpreted as an improvement in the nutritional profile. Metabolic abnormalities associated with immunosuppression and eating habits, combination that maintains increased the risk for diabetes for long time, keeping this group with priority in nutritional care.

Intervention of muscle-building and antifrailty exercise combined with Baduanjin for frailty of different functional levels: study protocol for a randomised controlled trial

IntroductionFrailty has been currently considered as a multidimensional concept, including physical, cognitive and social frailty. Frailty has also been associated with a range of adverse events, which might increase the...

Body fluids and muscle changes in trail runners of various distances.

This study aims to investigate body fluids and muscle changes evoked by different trail races using anthropometric, bioelectrical, and creatine kinase (CK) measurements. A total of 92 subjects (55 men, 37 women) participating in three different races of 14, 35, and 52 km were evaluated before (PRE) and after (POST) the races. Classic bioelectrical impedance vector analysis was applied at the whole-body level (WB-BIVA). Additionally, muscle-localized bioelectrical assessments (ML-BIVA) were performed in a subgroup of 11 men (in the quadriceps, hamstrings, and calves). PRE-POST differences and correlations between bioelectrical values and CK, running time and race distance were tested. Changes in whole-body vectors and phase angles disclosed an inclination towards dehydration among men in the 14, 35, and 52 km groups (p < 0.001), as well as among women in the 35 and 52 km groups (p < 0.001). PRE Z/H was negatively correlated with running time in the 35 km men group and 14 km women group (r = -0.377, p = 0.048; r = -0.751, p = 0.001; respectively). POST Z/H was negatively correlated with running time in the 14 km women group (r = -0.593, p = 0.02). CK was positively correlated with distance in men and women (p < 0.001) and negatively correlated with reactance and vector length in the 14 km men group (p < 0.05). ML-BIVA echoed the same tendency as the WB-BIVA in the 35 and 52 km runners, with the most notable changes occurring in the calves (p < 0.001). WB-BIVA and CK measurements underscored a conspicuous trend towards post-race dehydration and muscle damage, displaying a weak association with performance. Notably, ML-BIVA detected substantial alterations primarily in the calves. The study underscores the utility of BIVA as a technique to assess athlete's body composition changes.

Prognostic value of age in body composition changes among prostate cancer patients treated with hormone and radiotherapy

Prognostic value of age in body composition changes among prostate cancer patients treated with hormone and radiotherapy

Lifestyle Empowerment for Alzheimer’s Prevention (LEAP! Rx) week 12 outcomes

AbstractBackgroundClinicians have few tools to incorporate physical activity into clinical care to capitalize on the benefits of exercise for Alzheimer’s prevention. Barriers limit older adults from initiating and maintaining exercise recommendations. We tested the efficacy of an exercise and healthy lifestyle program, LEAP! Rx, in physician‐referred patients vs. self‐referred patients (typical referral method). Physician referrals occurred via electronic prescription embedded in the electronic health record. The program included 12 weeks of regular supervised exercise at a network of YMCAs, followed by 40 weeks of intermittent supervised exercise. Participants were offered monthly Alzheimer’s prevention classes (diet, cognitive engagement, stress reduction).MethodAn RCT tested efficacy of LEAP! Rx for gains in cardiorespiratory fitness and reduced disease markers. Participants (age 65+) were randomized to the Intervention Group (n = 110) or a Control Group (n = 110). 54% were referred by physicians, 46% were self‐referred. During the pandemic, exercise coaching was moved online. We analyzed increases in cardiorespiratory fitness (VO2max) and changes in insulin resistance, body composition, and lipids between baseline and week 12.ResultAnalyses are based on 179 participants’ data at week 12. The intervention group increased 3.6% in cardiorespiratory fitness (VO2max ml/kg/min) vs. 1.0% in Controls (non‐significant trend, t = 1.66, p = .098). The intervention group reduced fat mass by 2.0% vs. 0.7% in Controls (non‐significant trend, t = 0.163, p = .105). Self‐referred participants increased 4.7% in VO2max (p = .007) vs. 2.0% in physician‐referred (p = 0.20). Both referral groups had reductions in fat mass (p&lt;.05). Adherence was lower in physician‐referred (fewer aerobic goals met (p = .038), more weeks of pandemic‐related gym closures (p&lt;.001)). Physician‐referred had more participants identifying as Black and Latino/a (22%) vs. self‐referred (8%).ConclusionAlthough outcomes improved across 12 weeks, we found no significant differences between intervention and control groups. A potential explanation is differences between physician‐referred and self‐referred groups. Our unique physician referral method resulted in a more racially/ethnically diverse sample. However, the physician‐referred group had fewer VO2 gains, likely due to greater pandemic‐related adherence disruption. When week 52 is complete, we will investigate feasibility and acceptability of the referring physicians’ role and analysis of actigraphy data to clarify mechanisms of differential benefits.

Effects of Antipsychotics on Bone Mineral Density in Schizophrenia

Abstract Previous researches have shown that patients with schizophrenia who were using antipsychotics in their treatment developed changes in Bone Mineral Density and body composition, leading to osteoporosis and modifications in weight, skeletal muscle mass index and percent of fat tissue. Results of many studies suggested that the use of antipsychotic causes hyperprolactinemia and consequently lower bone mineral density values were observed. Further, antipsychotics increase food intake and have possible effects on metabolism, causing changes in weight, glucose level and lipid status, all of which can be a risk for developing metabolic syndrome and result in changing of bone mineral density. Antipsychotics change cytokine profiles in patients with schizophrenia and on the other hand the influence of T cells, B cells and inflammatory cytokines on osteoclasts and on osteoblasts was also established. In assessing the effects of antipsychotic on bone metabolism very important is to consider the duration of the treatment and clinical course of the disease, but undeniable effect is careless life style and inadequate physical activity that patients with schizophrenia have. Our attempt is to give an overview of the newest findings in this field, regarding the direct effects of antipsychotics on the bone metabolism, but also through prolactine elevation, metabolic and immune changes. Better understanding of the underlying mechanisms of schizophrenia and changes in bone mineral density could improve our clinical practice: affect to choice of the individually most appropriate antipsychotic, point to the need to monitor possible immunmetabolic changes during the treatment and improvement of the life quality of this vulnerable population.

Calliandra honey and nutritional deficiency influence to spermatozoa motility and viability in Rattus norvegiccus

Nutritional deficiency or malnutrition is one of the severe health problems that causes changes in body weight, body composition, and physical function. The potential of calliandra honey to spermatozoa motility and viability, in the male white rat (Rattus norvegiccus) undergoing nutritional deficiency will be investigated in this research. 24 male white rats with body weights 250-300 grams were used and divided into four groups with each group containing six white rats. The first group was the negative control (C-) group, C+ was the group with fasting condition but without honey administration, T1 and T2 were the fasting treatment in ten days with 30% and 50% honey, respectively. The result was significance differences between C-group with C+ or T1 and T2 (p<0.05). The T1 and T2 can increase the motility and viability of spermatozoa and the difference significant with C+ (p<0.05), but it cannot restore the motility and viability of spermatozoa to normal conditions. It can be concluded that the administration of Calliandra honey in the T1 and T2 with concentrations of 30% and 50% can already improve the quality of spermatozoa which can be seen from the motility and viability of spermatozoa.

Effect of Chiglitazar and Sitagliptin on Bone Mineral Density and Body Composition in Untreated Patients with Type 2 Diabetes.

To evaluate the changes in bone mineral density (BMD) and body composition in untreated patients with type 2 diabetes mellitus (T2DM) before and after chiglitazar or sitagliptin treatment. A total of 81 patients with T2DM were randomly divided to receive chiglitazar or sitagliptin treatment for 24 weeks (54 in the chiglitazar group and 27 in the sitagliptin group). We measured the spine lumbar BMD, hip BMD, fat mass (FM), fat-free mass (FFM), percent body fat (%BF), android FM, gynoid FM and skeleton muscle mass (SMM) using dual-energy X-ray absorptiometry (DEXA) and examined serum adiponectin (ADP) levels at baseline and the end of the study. There were no significant changes in the BMD of the L2-4, femoral neck, trochanter or total hip as well as in the BMC after 24 weeks of treatment with chiglitazar or sitagliptin. After chiglitazar administration, the FM, gynoid FM and gynoid to total FM ratio were higher, while the android to total FM ratio and the android to gynoid FM ratio (AOI) were significantly lower. Sitagliptin intervention did not result in statistically significant differences in total fat loss, but it did cause significant decreases in %BF and AOI as well as increases in the FFM, gynoid to total FM ratio and SMM. The ADP levels had significantly negative associations with AOI in all eligible patients. The chiglitazar had no deleterious effects on BMD and resulted in body fat redistribution in untreated patients with T2DM. The trial is registered at ClinicalTrials.gov (CT.gov identifier: NCT02173457).

The effect of regular running on body weight and fat tissue of individuals aged 18 to 65

BackgroundAge and reduction in performed physical activity cause physiological changes that include an increase in body fat (BF) and visceral fat (VF) during aging. These parameters, together with increased body mass (BM), are some of the risk factors of several noninfectious diseases. However, changes in body composition can be influenced by regular physical activity. Running is a suitable, accessible, and the most effective physical activity cultivating people. The objective of this study is to investigate the effects of long-term, regular PA, specifically recreational running, on changes in body composition among recreational adult runners covering a weekly distance of at least 10 km, compared with inactive adult individuals within the same age bracket.MethodsThe study included 1296 runners and inactive individuals (691 male and 605 female), divided into 5 age groups: 18–25, 26–35, 36–45, 46–55, and 56–65 years. Runners are as follows: ran ≥ 10 km/week, and inactive is as follows: did not follow the WHO 2020 physical activity recommendations. The measured parameters included BM, BF, and VF. To check statistical significance, the Mann–Whitney U-test was used. Practical significance was assessed using the effect of size.ResultsAll age groups of runners were selected to include individuals who run at least 10 km per week. In fact, they ran, on average, from 21.6 to 31.4 km per week in relation to age and showed significantly lower values of BM, BMI, BF, and VF (p < 0.05) than inactive individuals. Exceptions included insignificant differences (p > 0.05) in BM and BMI in males in the age category of 18–25 and in females in the age category of 18–25 and 26–35.ConclusionThe selected runners had to run at least 10 km per week. Their actual average volume was significantly higher (from 21.6 to 31.4 km/week), and the results showed that it could lead to significantly better body composition values. It may lead to significant changes in body mass, body fat, and visceral fat. It may meet the contemporary societal expectations for physical activities that are both achievable and effective at the lowest possible volume.

Beneficial effects of the probiotics and synbiotics supplementation on anthropometric indices and body composition in adults: A systematic review and meta-analysis.

Studies have suggested that probiotics and synbiotics can improve body weight and composition. However, randomized controlled trials (RCTs) demonstrated mixed results. Hence, we performed a systematic review and meta-analysis to evaluate the effectiveness of probiotics and synbiotics on body weight and composition in adults. We searched PubMed/Medline, Ovid/Medline, Scopus, ISI Web of Science, and Cochrane library up to April 2023 using related keywords. We included all RCTs investigating the effectiveness of probiotics and/or synbiotics supplementation on anthropometric indices and body composition among adults. Random-effects models were applied for performing meta-analyses. In addition, we conducted subgroup analyses and meta-regression to explore the non-linear and linear relationship between the length of follow-up and the changes in each outcome. We included a total of 200 trials with 12,603 participants in the present meta-analysis. Probiotics or synbiotics intake led to a significant decrease in body weight (weighted mean difference [WMD]: -0.91 kg; 95% CI: -1.08, -0.75; p< 0.001), body mass index (BMI) (WMD: -0.28 kg/m2 ; 95% CI: -0.36, -0.21; p< 0.001), waist circumference (WC) (WMD: -1.14 cm; 95% CI: -1.42, -0.87; p< 0.001), waist-to-hip ratio (WHR) (WMD: -0.01; 95% CI: -0.01, -0.00; p< 0.001), fat mass (FM) (WMD: -0.92 kg; 95% CI: -1.05, -0.79; p< 0.001), and percentage of body fat (%BF) (WMD: -0.68%; 95% CI: -0.94, -0.42; p< 0.001) compared to controls. There was no difference in fat-free mass (FFM) and lean body mass (LBM). Subgroup analyses indicated that probiotics or synbiotics administered as food or supplement resulted in significant changes in anthropometric indices and body composition. However, compared to controls, FM and %BF values were only reduced after probiotic consumption. Our results showed that probiotics or synbiotics have beneficial effects on body weight, central obesity, and body composition in adults and could be useful as an add on to weight loss products and medications.

An analytical investigation of body parts more susceptible to aging and composition changes using statistical hypothesis testing

In recent years, age-related changes in body composition in the elderly are attracting attention. This is associated with a decline in physical functions and an increased risk of disease development. In general, age-related changes in body composition can be minimized with appropriate exercise. However, there are no studies that investigate body parts susceptibility to aging and changes in body composition of those parts. Therefore, devising exercise programs and advising daily life while taking these into account becomes difficult. This study aims to identify body parts that are more susceptible to aging and their body composition changes. The body composition was obtained with a Direct Segmental Multi-frequency Bioelectrical Impedance Analysis using InBody770 in 8 male elderly patients who had been shortly hospitalized. Statistical hypothesis testing was used to determine whether site-specific body composition changed significantly between hospital discharge and 1 year, 1 year and 2 years, and hospital discharge and 2 years. The results showed that Lean body mass, Total Body Water, Intracellular Water, Extracellular Water in the right arm; Lean body mass and Total Body Water in the left arm and trunk are more sensitive to aging.

Characterization of Anthropometric Changes in Patients with Relapsed/Refractory Myeloma Treated with BCMA Bispecific Antibody Teclistamab

Introduction: Cancer-associated cachexia is associated with poor survival rates in several cancer types. Multiple Myeloma (MM) preferentially occurs in the elderly and is the most common cancer that causes lytic bone metastasis causing bone pain, fractures, mobility limitations, and falls. Cachexia is projected to be common in myeloma but has not been fully studied. Myeloma treatments including corticosteroids, radiation and alkylators cause muscle loss, while novel immunotherapy is tumor-specific but their impact on cachexia is unknown. We characterize the changes in body composition in patients with relapsed/refractory myeloma treated with BCMA bispecific antibody teclistamab and determine the association between body composition with treatement response and overall survival. Methods: 49 MM patients treated with teclistamab between 2000 and 2021 were included. All were with relapsed/refractory disease after &amp;gt; 4 lines of therapy and received an approved dose and schedule of teclistamab. The response assessment was according to IMWG criteria. Body weight, body mass index (BMI), tumor burden, and organ function were assessed at baseline and post-treatment. Standard-of-care abdominopelvic CT or PET/CT scans at baseline and at last known follow up were analyzed with Data Analysis Facilitation Suite (DAFS) software to quantify skeletal muscle (SKM), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT). Differences between groups were tested using the χ 2 test or paired t-test. Progression free survival (PFS) and overall survival (OS) from the start of teclistamab to progression and death or last follow-up, respectively, were analyzed by the Kaplan-Meier method. Comparisons were made with the log-rank test. Results: Patient characteristics are detailed in Table 1. Based on the WHO definition, 2% were underweight, 16% were normal weight, 19% were overweight and 13% were obese, at baseline. The baseline mean SKM was 105.6 ± 27.8 (Male 122.0 ± 25.3, female 93.4 ± 23.5). SAT and VAT varied widely. Median SAT was 196.5 (range 48.3-558.6), and median VAT was 136.6 (33.09-448.1). Of 32 patients in the obese group, 16 (50%) patients had SKM that was below the mean SKM of the group. Baseline SAT and VAT, but not SKM were correlated with BMI. Twenty-seven of the 49 patients had paired imaging. The absolute changes in skeletal muscle and adipose tissue compartments are shown in Table 2. A majority of patients had a decline in SKM, SAT and VAT post-treatment: mean SKM decrease was 8.9 cm 2 ( p ≤ 0.01), mean SAT decreased 24.3 cm 2 ( p = 0.02) and mean VAT decreased 27.4 cm 2 ( p = 0.03), while BMI and weight were unchanged. Nineteen of 27 (70%) subjects responded to therapy. The changes in SKM, VAT, and SAT loss did not differ significantly between responders and non-responders. 38.8% of patients (19/49) had died by the end of the follow-up. Median follow-up duration was 2.8 years, overall survival was 1.7 years and PFS was 0.9 years. Baseline SKM, SAT, and VAT did not correlate with PFS or OS, but a decline in SMK significantly correlated with a shorter OS (p=0.04); 7/18 patients with decreased SKM and 2/9 patients with unchanged or increased SKM died. Response correlated strongly with overall survival (p=0.002). Conclusions: Body composition analysis of standard CT images may provide clinically relevant information for patients with advanced myeloma. Sarcopenia was common despite high BMI, and a further decline in skeletal muscle mass correlated with shorter survival, regardless of response to tumor-specific immunotherapy. Anthropometric changes should be validated in larger patient cohorts and included in future clinical trials. Further efforts should focus on the maintenance of muscle and visceral adipose tissue in this patient population.

Pemeriksaan Status Gizi dan Edukasi Pencegahan Diabetes Melitus terhadap Lansia di Wilayah Putukrejo, Desa Peniwen, Kabupaten Malang

The number of elderly people in Indonesia is increasing from year to year. The increasing age of the elderly, as well as the increasing prevalence of diabetes mellitus in the elderly, are the result of neurohormonal changes, lifestyle changes, decreased physical activity, changes in body composition, and increased oxidative stress. The goal of this community service is to provide health services in the form of nutritional assessments for the elderly and education to increase the elderly's knowledge in Peniwen Village, Malang Regency. Community service activities begin with screening Upper Arm Circumference, Abdominal Circumference, Height, Weight, Body Mass Index, Blood Pressure, and Random Blood Sugar levels in the elderly. Counseling was then provided to 20 people using powerpoint media, brochures, and booklets. The information provided included diabetes mellitus, risk factors, random blood sugar levels, and diabetes mellitus prevention. The level of knowledge of respondents is assessed using pre-test and post-test instruments. According to the results of the pre-test and post-test conducted by the elderly in Putukrejo Hamlet, educational methods in the form of presentations, booklets, and brochures containing material about Diabetes Mellitus, risk factors for events, measurement of blood sugar levels in the elderly, and diabetes mellitus prevention went as expected, namely a 40% increase.

1985. A Prospective, Randomized Trial to Assess a Protease Inhibitor–based Regimen Switch Strategy to Manage Integrase Inhibitor–related Weight Gain

Abstract Background Integrase inhibitor (INI)–based antiretroviral (ARV) therapies are associated with greater weight gain than non-nucleoside reverse transcriptase inhibitor– or boosted protease inhibitor–based regimens, disproportionately affecting Black and Hispanic individuals and women. The mechanisms underlying this weight gain are unknown, and there are no prospective, randomized data exploring the impact of switching ARV classes to mitigate or reverse ARV-related weight gain. Methods DEFINE (ClinicalTrials.gov: NCT04442737) is a randomized (1:1), prospective, 48-week, active-controlled, open-label, multicenter phase 4 study evaluating switching to darunavir/cobicistat/emtricitabine/tenofovir alafenamide (D/C/F/TAF) versus continuing INI+TAF/emtricitabine (FTC) in virologically-suppressed HIV-1–infected adults who had ≥10% weight gain while on the INI-based regimen. The primary objective was to assess percent change in body weight from baseline to Week 24 in both arms. The primary endpoint was analyzed using a mixed model for repeated measures in the intent-to-treat set of randomized participants who had received ≥1 dose of study drug. Secondary endpoints included change in body mass index (BMI), waist circumference (WC), efficacy, and safety. Data through Week 24 are reported. Results Overall, 103 adults were randomized to D/C/F/TAF (n=53) or continued INI+TAF/FTC (n=50); 30% were female and 61% were Black/African American, with median 27.0 months virologic suppression on INI+TAF/FTC (Table 1). Discontinuation rates were low and similar between arms. At Week 24, there was no significant difference in percent change in body weight from baseline between the D/C/F/TAF and INI+TAF/FTC arms (Figure). Most participants in each arm had body weight changes of ≤±3% and remained within baseline BMI and WC categories. Percent body weight changes for key subgroups are shown in Table 2. Switching to D/C/F/TAF was safe and well tolerated, and efficacy was maintained.Table 1.Demographics and Baseline Characteristics (ITT Set)BMI, body mass index; D/C/F/TAF, darunavir/cobicistat/emtricitabine/tenofovir alafenamide; FTC, emtricitabine; INI, integrase inhibitor; ITT, intent-to-treat; TAF, tenofovir alafenamide. *One participant in the D/C/F/TAF arm did not have available data. Percent Change From Baseline in Body Weight Over Time for Participants Who Switched to D/C/F/TAF and Those Who Continued Their Current INI+TAF/FTC Regimen (ITT Set) D/C/F/TAF, darunavir/cobicistat/emtricitabine/tenofovir alafenamide; FTC, emtricitabine; INI, integrase inhibitor; ITT, intent-to-treat; LS, least-squares; TAF, tenofovir alafenamide. LS means percent changes in body weight were calculated in the ITT set of randomized participants who had received ≥1 dose of study drug using a mixed model for repeated measures, in which the dependent variable was percent change from baseline in body weight; independent variables were treatment, baseline body mass index, sex, and race (Black/African American vs non–Black/African American); and visits were repeated measures. Participants in the ITT set with baseline records and ≥1 postbaseline record were included. Conclusion There was no significant difference in weight change through 24 weeks after switching from an INI-based regimen to D/C/F/TAF in adults with INI-related weight gain. Additional analyses are ongoing, including follow up through Week 48 and evaluation of changes in biomarkers and body composition (DEXA).Table 2.Percent Change From Baseline in Body Weight at Week 24 Among Key Subgroups (ITT Set)BMI, body mass index; D/C/F/TAF, darunavir/cobicistat/emtricitabine/tenofovir alafenamide; FTC, emtricitabine; INI, integrase inhibitor; ITT, intent-to-treat; TAF, tenofovir alafenamide. Disclosures William R. Short, MD, Gilead Sciences: Advisor/Consultant|ViiV: Advisor/Consultant|ViiV: Honoraria Moti Ramgopal, MD, FACP, FIDSA, AbbVie: Honoraria|Gilead Sciences, Inc.: Advisor/Consultant|Gilead Sciences, Inc.: Honoraria|Janssen Pharmaceuticals: Advisor/Consultant|Janssen Pharmaceuticals: Honoraria|Merck: Advisor/Consultant|ViiV Healthcare: Advisor/Consultant|ViiV Healthcare: Honoraria Debbie P. Hagins, MD, FAPCR, AAHIVS, Janssen Pharmaceuticals: Advisor/Consultant Johnnie Lee, MD, Janssen Pharmaceuticals: Employee|Janssen Pharmaceuticals: Stocks/Bonds Richard Bruce Simonson, BS, Janssen Pharmaceuticals: Employee|Janssen Pharmaceuticals: Stocks/Bonds Tien-Huei Hsu, PhD, Janssen Pharmaceuticals: Employee|Janssen Pharmaceuticals: Stocks/Bonds Ping Xu, PhD, Janssen Pharmaceuticals: Employee|Janssen Pharmaceuticals: Stocks/Bonds David Anderson, MD, Janssen Pharmaceuticals: Employee|Janssen Pharmaceuticals: Stocks/Bonds

Resistance training maintains physical function but does not prevent changes in body composition and biochemical markers after detraining in aging adults

ObjectiveThe objective of the present study was to analyze the effects of 10 weeks of resistance training (RT) and subsequent 4 weeks of detraining on physical function, body composition, and biochemical markers in aging adults. MethodsThe study sample was selected by convenience and consisted of 12 women with a mean age of 58 ± 7 years. Physical function [Latin-American Group of Development for Maturity (GDLAM) general index], body composition, total and fractional cholesterol, triglycerides, and glycemia were assessed before and after RT (10 weeks) and detraining (4 weeks). ResultsAfter 10 weeks of RT, there were improvements in fat-free mass (39.1 ± 4.2 vs. 39.9 ± 4.4 kg; p < 0.05 and d = 0.2), fat mass (39.9 ± 6.3% vs. 38.7 ± 6.4%; p < 0.05 and d = −0.2), conicity index (1.47 ± 0.07 vs. 1.43 ± 0.06; p = 0.001 and d = −0.6), and physical function (GDLAM index [27.2 ± 5.5 vs. 25.0 ± 4.7; p = 0.001 and d = −0.4]). Significant improvements were also found in total cholesterol (271.8 ± 75.7 vs. 217.2 ± 52.2 mg/dL; p < 0.01 and d = −0.8), LDL-cholesterol (196.5 ± 61.6 vs. 159.3 ± 38.5 mg/dL; p < 0.01 and d = −0.7), HDL-cholesterol (53.1 ± 7.3 vs. 64.3 ± 23.7 mg/dL; p < 0.05 and d = 0.7), and triglycerides (165.8 ± 32.6 vs. 139.9 ± 46.6 mg/dL; p = 0.001 and d = −0.6). After the detraining period, all benefits in physical function were successfully maintained. ConclusionRT provided benefits in physical function, body composition, and biochemical markers in aging adults. However, 4-week detraining impaired body composition and biochemical markers in the investigated sample.

Hepatic steatosis and skeletal muscle alterations during the COVID-19 lockdown in a cohort of patients with chronic liver disease in Japan.

Following the coronavirus disease outbreak, a state of public emergency was declared worldwide, which enforced lifestyle changes. This study therefore aimed to investigate the changes in lifestyle, body composition, hepatic steatosis, and fibrosis in patients with chronic liver disease (CLD) under lockdown. During the lockdown period, 1344 patients with CLD answered a lifestyle questionnaire. In 298 patients, body composition and liver stiffness measure (LSM)/controlled attenuation parameter (CAP) were analyzed by InBody and FibroScan, respectively, and serial data were obtained in 137 patients. More than half of the CLD patients answered decreases in physical activity and frequency of outings during lockdown, while diet was less affected. Overall, 58% of patients showed elevations in CAP values, which were not different statistically over time. Women, but not men, were more likely to increase CAP values during lockdown. Neither LSM nor serum fibrosis markers were elevated chronologically during lockdown. In men, body mass index (BMI), body fat percentage, and visceral fat area (VFA) were significantly increased, whereas in women, lower-limb muscle mass was significantly decreased. Patients with decreased SMI showed elevations in CAP and VFA values, and patients who exercised less showed increases in BMI. In response to lockdown, men tended to increase body fat but the degree of hepatic steatosis was less affected, while women were more likely to exacerbate hepatic steatosis with skeletal muscle loss among CLD patients. Gender-specific approaches need to be established for management of CLD patients to avoid exacerbation or comorbidity of steatotic liver disease.

A O03 Host phenotypic adversity independently predicts progression to resection in neoadjuvantly-treated pancreatic cancer

Abstract Background Neoadjuvant treatment (NAT) offers a modest survival benefit to the otherwise dismal outcomes of pancreatic ductal adenocarcinoma (PDAC), however methods for assessing treatment response and disease trajectory during NAT are limited. Cachexia and sarcopenia are hallmark features of PDAC and defining host phenotypic adversity is crucial in understanding the tumour-host relationship and its influence on clinical outcomes. We sought to determine the relationship between body composition, systemic inflammation, and outcomes in NAT PDAC to lay foundations for improving assessment of treatment response. Methods This is a retrospective, observational study with an intention-to-treat design, analysing resected (n = 109) and non-resected (n = 117) NAT PDAC (total n = 226) from the tertiary West of Scotland Pancreatic Unit, Glasgow Royal Infirmary. Patients were included if they had resectable or borderline resectable disease and received NAT. Patients were excluded if they had locally advanced or metastatic disease. Body composition was determined by single-slice L3 cross-sectional measurements. Results Patients with an adverse phenotype defined by change in body composition were less likely to progress to resection (40.9% vs 68.8%, p &amp;lt; 0.001). Logistic regression confirms the independence of this effect (OR 3.79, 95% CI 1.99-7.22, p &amp;lt; 0.001). There was a trend towards systemic inflammation in the non-resected group (CRP rise 51.4% vs 29.9%, p = 0.008). Patients treated with Folfirinox who required dose reduction received higher doses of irinotecan, 5-fluorouracil (bolus) and 5-fluorouracil (infusion) per unit muscle mass (7.3 vs 6.9mg/cm2⋅m-2, p = 0.010; 16.2 vs 14.7mg/cm2⋅m-2, p = 0.002; 96.5 vs 91.1mg/cm2⋅m-2, p = 0.026). Conclusions Host phenotypic adversity during NAT presents a potentially valuable addition to a limited arsenal of tools to aid decision making in resectable and borderline resectable PDAC. Early assessment of body composition trend during chemotherapy may present an opportunity to switch the host phenotype from adverse to favourable in some patients, or highlight the futility of continuing aggressive treatment in others. Chemotherapeutic prescribing by body surface area overlooks crucial differences in lean body mass and may be exposing patients to avoidable and burdensome toxicities.

Muscularity and adiposity are differently associated with inflammatory and nutritional biomarkers among patients on hemodialysis and peritoneal dialysis

PurposeNutritional alterations are prevalent in patients undergoing hemodialysis (HD) and peritoneal dialysis (PD). We aimed at evaluating whether body composition parameters in HD vs PD are differently associated with nutritional and inflammatory biomarkers. MethodsBody composition was assessed by bioimpedance analysis. Neutrophil to lymphocyte ratio (NLR), serum albumin and C-reactive protein were used as nutritional and inflammatory biomarkers. Multivariable linear regression analysis was used to determine association(s) of body composition parameters with biomarkers. ResultsWe enrolled a total of 108 patients, 58 on HD and 50 on PD. Fat free mass percent was higher in HD patients than PD (p = 0.006) and higher extracellular water (ECW)/intracellular water (ICW) in HD compared to PD patients (p = 0.023), as well as fat mass index was greater in PD than HD (p = 0.004). In HD patients, albumin positively correlated with fat free mass (r = 0.42; p = 0.001) and ICW/h2 (r = 0.31; p = 0.02). In PD, NLR positively correlated with fat mass (r = 0.36; p = 0.01), fat mass index (r = 0.37; p = 0.01) and ECW (r = 0.41; p = 0.005), and negatively correlated with fat free mass percent (r = -0.30; p = 0.04) and ICW percent (r = -0.34; p = 0.02). By linear regression analysis, in HD fat free mass index was associated with albumin and the absence of diabetes. In PD, the association of fat free mass index was present with NLR. Regarding adiposity, in HD we found no association of ECW/ICW with NLR and CRP, whereas in PD the ECW/ICW was associated with NLR. ConclusionInflammation drives body composition changes with differences according to the type of dialysis, as expressed by the modulation of some circulating biomarkers.

Associations between Power Training-Induced Changes in Body Composition and Physical Function in Older Men: A Pre-Test-Post-Test Experimental Study.

It is well-established that cross-sectional measurements of poor body composition are associated with impaired physical function and that power training effectively enhances total lean mass and physical function in older adults. However, it is unclear if power training-induced changes in body composition are associated with improved physical function in older adults. The present study investigated associations between body composition and physical function cross-sectionally and with power training-induced changes in older men. Forty-nine older men (68 ± 5 yrs) completed a 10-week biweekly power training intervention. Body composition was measured using dual-energy X-ray absorptiometry. Physical function was assessed as a composite Z-score combining measures from Sit-to-stand power, Timed up-and-go time, and loaded and unloaded Stair-climbing time (15 steps). Linear and quadratic regression analyses were performed to assess associations between body composition and physical function. At baseline, total (R2 = 0.11, p < 0.05) and percentage body fat (R2 = 0.15, p < 0.05) showed a non-linear relationship with physical function. The apex of the quadratic regression for body composition was 21.5% body fat. Furthermore, there was a non-linear relationship between changes in body fat percentage and physical function from pre- to post-intervention (R2 = 0.15, p < 0.05). The present study's findings indicate that participants with a body composition of ~20% body fat displayed the highest level of physical function at baseline. Furthermore, despite small pre-post changes in body fat, the results indicate that those who either preserved their body fat percentage or experienced minor alterations observed the greatest improvements in physical function.

Predicted lean body mass trajectories, and cancer risk and cancer-specific and all-cause mortality: A prospective cohort study.

Although many studies have investigated the association between body composition, cancer risk and mortality, predicting these risks through a single body composition measurement undoubtedly increases the limitations of the study. Few studies have explored the association between the trajectory of changes in body composition and the risk of cancer and death. We aimed to explore the association of predicted lean mass trajectories with cancer risk, cancer-specific mortality and all-cause mortality. The participants in this study were all from the Kailuan cohort, a prospective, periodic, resurvey cohort study initiated in 2006. Latent mixture modelling was used to identify predicted lean mass trajectories for 2006-2010. The hazard ratios (HRs) and 95% confidence intervals (95% CIs) of the Cox proportional hazard models were used to describe the association between predicted lean mass trajectories and cancer risk and cancer-specific and all-cause mortality during follow-up (2010-2021). A total of 44374 participants (average age, 53.01±11.41years, 78.99% men and 21.01% women) were enrolled in this study. Five distinct trajectories were identified: low-stable (n=12060), low-increasing (n=8027), moderately stable-decreasing (n=4725), moderately stable-increasing (n=8053) and high-stable (n=11509). During the 11-year follow-up period, 2183 cancer events were recorded. After adjusting for age, predicted fat mass in 2010, sex, BMI, sedentary, physical activity, smoke, alcohol use, salt consumption, high-fat diet, high-sensitivity C-reactive protein, serum creatinine, family history of tumour, hypertension, diabetes mellitus, compared with the low-stable group, participants in the low-increasing group (HR=0.851, 95% CI, 0.748-0.969), moderately stable-increasing group (HR=0.803, 95% CI, 0.697-0.925) and high-stable group (HR=0.770, 95% CI, 0.659-0.901) had a lower cancer risk, but not in the moderately stable-decreasing group (HR=0.864, 95% CI, 0.735-1.015). Compared with the low-stable group, the risk of cancer-specific mortality was reduced by 25.4% (8.8-38.9%), 36.5% (20.3-49.4%) and 35.4% (17.9-49.2%), and the risk of all-cause mortality was reduced by 24.2% (16.9-30.8%), 37.0% (30.0-43.2%) and 47.4% (41.0-53.1%) in the low-increasing, moderately stable-increasing group and high-stable groups, respectively. Predicted lean mass trajectories may be closely associated with cancer risk and cancer-specific and all-cause mortality. Regular monitoring of body composition is necessary.