Tumor metabolic activity is associated with subcutaneous adipose tissue radiodensity and survival in non-small cell lung cancer.

BACKGROUND: Cachexia-associated body composition alterations and tumor metabolic activity are both associated with survival of cancer patients. Recently, subcutaneous adipose tissue properties have emerged as particularly prognostic body composition features. We hypothesized that tumors with higher metabolic activity instigate cachexia related peripheral metabolic alterations, and investigated whether tumor metabolic activity is associated with body composition and survival in patients with non-small-cell lung cancer (NSCLC), focusing on subcutaneous adipose tissue. METHODS: A retrospective analysis was performed on a cohort of 173 patients with NSCLC. 18F-fluorodeoxyglucose positron emission tomography-computed tomography (PET-CT) scans obtained before treatment were used to analyze tumor metabolic activity (standardized uptake value (SUV) and SUV normalized by lean body mass (SUL)) as well as body composition variables (subcutaneous and visceral adipose tissue radiodensity (SAT/VAT radiodensity) and area; skeletal muscle radiodensity (SM radiodensity) and area). Subjects were divided into groups with high or low SAT radiodensity based on Youden Index of Receiver Operator Characteristics (ROC). Associations between tumor metabolic activity, body composition variables, and survival were analyzed by Mann-Whitney tests, Cox regression, and Kaplan-Meier analysis. RESULTS: The overall prevalence of high SAT radiodensity was 50.9% (88/173). Patients with high SAT radiodensity had shorter survival compared with patients with low SAT radiodensity (mean: 45.3 vs. 50.5 months, p = 0.026). High SAT radiodensity was independently associated with shorter overall survival (multivariate Cox regression HR = 1.061, 95% CI: 1.022-1.101, p = 0.002). SAT radiodensity also correlated with tumor metabolic activity (SULpeak rs = 0.421, p = 0.029; SUVpeak rs = 0.370, p = 0.048). In contrast, the cross-sectional areas of SM, SAT, and VAT were not associated with tumor metabolic activity or survival. CONCLUSION: Higher SAT radiodensity is associated with higher tumor metabolic activity and shorter survival in patients with NSCLC. This may suggest that tumors with higher metabolic activity induce subcutaneous adipose tissue alterations such as decreased lipid density, increased fibrosis, or browning.

The Impact of Caustic Ingestion on Nutritional Status: Case Report.

Introduction: Caustic injuries remain a major public health concern. Nutritional status plays a pivotal role in determining the outcome. Unfortunately, nutritional care guidelines are not widely implemented in clinical practice, and decisions are often based on prior experience and local policies. Case Presentation: We present the case of an 83-year-old man who accidentally ingested alkali, resulting in severe caustic injury and subsequent complications that further deteriorated his nutritional status. The management of esophageal strictures necessitated constant adjustments to the nutritional strategies employed. The clinical evaluation revealed protein and energy malnutrition, accompanied by type 2 intestinal failure. However, with individually tailored parenteral nutritional therapy, a significant improvement in the patient's nutritional status was observed. Conclusion: Recognizing that caustic injuries increase metabolic demands, a comprehensive and active nutritional assessment is crucial, focusing on the need for adequate energy, high protein intake, and an appropriate feeding route. In cases of acute or prolonged type 2 intestinal failure with insufficient oral or enteral nutrition, parenteral feeding should be the primary therapy. Effective management of caustic injuries requires a multidisciplinary and multicenter approach, integrating nutritional evaluation, including body composition measurements, into the clinical algorithm. Early initiation of nutritional therapy is vital to prevent chronic intestinal failure.

A systematic review of automated segmentation of 3D computed-tomography scans for volumetric body composition analysis.

Automated computed tomography (CT) scan segmentation (labelling of pixels according to tissue type) is now possible. This technique is being adapted to achieve three-dimensional (3D) segmentation of CT scans, opposed to single L3-slice alone. This systematic review evaluates feasibility and accuracy of automated segmentation of 3D CT scans for volumetric body composition (BC) analysis, as well as current limitations and pitfalls clinicians and researchers should be aware of. OVID Medline, Embase and grey literature databases up to October 2021 were searched. Original studies investigating automated skeletal muscle, visceral and subcutaneous AT segmentation from CT were included. Seven of the 92 studies met inclusion criteria. Variation existed in expertise and numbers of humans performing ground-truth segmentations used to train algorithms. There was heterogeneity in patient characteristics, pathology and CT phases that segmentation algorithms were developed upon. Reporting of anatomical CT coverage varied, with confusing terminology. Six studies covered volumetric regional slabs rather than the whole body. One study stated the use of whole-body CT, but it was not clear whether this truly meant head-to-fingertip-to-toe. Two studies used conventional computer algorithms. The latter five used deep learning (DL), an artificial intelligence technique where algorithms are similarly organized to brain neuronal pathways. Six of seven reported excellent segmentation performance (Dice similarity coefficients > 0.9 per tissue). Internal testing on unseen scans was performed for only four of seven algorithms, whilst only three were tested externally. Trained DL algorithms achieved full CT segmentation in 12 to 75 s versus 25 min for non-DL techniques. DL enables opportunistic, rapid and automated volumetric BC analysis of CT performed for clinical indications. However, most CT scans do not cover head-to-fingertip-to-toe; further research must validate using common CT regions to estimate true whole-body BC, with direct comparison to single lumbar slice. Due to successes of DL, we expect progressive numbers of algorithms to materialize in addition to the seven discussed in this paper. Researchers and clinicians in the field of BC must therefore be aware of pitfalls. High Dice similarity coefficients do not inform the degree to which BC tissues may be under- or overestimated and nor does it inform on algorithm precision. Consensus is needed to define accuracy and precision standards for ground-truth labelling. Creation of a large international, multicentre common CT dataset with BC ground-truth labels from multiple experts could be a robust solution.

Clinical Relevance of Body Fluid Volume Status in Diabetic Patients With Macular Edema.

Objective: To investigate body fluid status in diabetic macular edema (DME) patients and the extent to which it is affected by renal function. Methods: One hundred and thirty-two eyes from 132 patients with diabetes mellitus (DM) were prospectively collected in this cross-sectional, observational study. Thirty-five were DM patients without diabetic retinopathy (DR), 31 were DR patients without DME, and 66 were DME patients. The fluid status of each participant was quantified with extracellular water-to-total body water ratio (ECW/TBW) using a body composition monitor. Central subfield thickness (CST) and macular volume (MV) were obtained using optical coherence tomography (OCT). Urine albumin-to-creatinine ratio (UACR), estimated glomerular filtration rate (eGFR), and albumin was obtained using serum and urine laboratory data. Results: ECW/TBW was significantly increased in DME patients (39.2 ± 0.9, %) compared to DM (38.1 ± 0.7, %, P = 0.003) and DR patients without DME (38.7 ± 0.9, %, P < 0.001). In multilinear regression, fluid overload was positively related to DME and UACR (DME vs. DM: ß = 2.418, P < 0.001; DME vs. DR: ß = 1.641, P = 0.001; UACR, per 102, ß = 1.017, P = 0.01). In the binary logistic regression for DME risk, the area under the receiver operating characteristic curve (AUROC) increased significantly by adding ECW/TBW along with UACR and age (AUC: 0.826 vs. 0.768). Conclusion: DME patients had elevated body fluid volume independent of kidney functions. The assessment of extracellular fluid status may help in the management of DME.

Dietary Intake, Body Composition and Performance of Professional Football Athletes in Slovenia.

This is the first study to examine the nutritional status of professional Slovenian football players. This study aimed to analyze the dietary intake of elite football players during their preparation phase of the season and to investigate whether there is a relationship between energy and macronutrient intake with body composition and physical performance. Twenty-three footballers completed a three-day dietary and physical activity diary and underwent body composition measurements via bioelectrical impedance vector analysis (BIVA). Fifteen participants also took part in the Cooper treadmill test to assess their physical performance in correlation with their nutritional intake. Football players had an energy intake that was significantly too low for their needs, reflecting low energy availability. The average carbohydrate (CHO) intake was below the Union of European Football Associations (UEFA) recommendations, i.e., <4 g CHO/kg body weight (BW). Additionally, players had adequate intakes of protein and fat, and inadequate intakes of saturated fat, fiber, calcium and vitamin D. There was a positive correlation between protein intake and lean body mass. Additionally, a negative correlation was observed between body fat mass and carbohydrate intake as well as between performance with the percentage of energy intake from fat. Results of this study highlight what aspects of nutrition might be improved upon in professional football players to maximize performance, longevity and body composition of athletes, as well as the necessity of a nutritionist role in this process.

Body Composition Measurement Improved Performance of GLIM Criteria in Diagnosing Malnutrition Compared to PG-SGA in Ambulatory Cancer Patients: A Prospective Cross-Sectional Study.

BACKGROUND AND AIMS: Muscle mass reduction (MMR) is one of the three etiologic criteria in the Global Leadership Initiative on Malnutrition (GLIM) framework. This study aimed to evaluate the value of MMR in GLIM criteria among ambulatory cancer patients. METHODS: A single-center prospective cross-sectional study was conducted. All participants underwent calf circumference (CC) measurement and body composition measurement by bioelectrical impedance analysis (BIA). MMR was identified by CC, fat-free mass index (FFMI), appendicular skeletal muscle index (ASMI), or combinations of the above three indicators. Patients-generated Subjective Global Assessment (PG-SGA) was used as the comparator. RESULTS: A total of 562 cancer patients receiving intravenous treatment were evaluated. Of the participants, 62.8% (355/562) were male. The median age of the patients was 59.0 years (range, 21-82 y). The median BMI was 22.8 kg/m2 (range, 14.6-34.5 kg/m2). A total of 41.8% of patients were evaluated as malnutrition (PG-SGA ≥ 4), and 11.9% were diagnosed with severe malnutrition (PG-SGA ≥ 9). For the GLIM criteria, the prevalence of malnutrition was 26.9%, and severe malnutrition was 12.3%. For all criteria combinations of GLIM together versus PG-SGA, sensitivity was 60.4% (53.8-66.7), specificity was 97.9% (95.4-99.1), while the accordance between GLIM and PG-SGA was moderate (κ = 0.614). The performance of the GLIM worsened when MMR was excluded (κ = 0.515), with reduced sensitivity (50.2% (43.7-56.8)) and the same specificity (97.9% (95.4-99.1)). Including FFMI and ASMI by BIA can further improve the performance of GLIM than using CC alone (κ = 0.614 vs. κ = 0.565). CONCLUSIONS: It is important to include MMR in the GLIM framework. Using body composition measurement further improves the performance of the GLIM criteria than using anthropometric measurement alone.

Correlation between body composition measurement by bioelectrical impedance analysis and intradialytic hypotension.

OBJECTIVE: To explore the correlation between body composition measurement by bioelectrical impedance analysis (BIA) and intradialytic hypotension (IDH). METHODS: The clinical data of 127 patients with end-stage renal disease (ESRD) who underwent regular dialysis in the Blood Purification Center of the Second Affiliated Hospital of Chongqing Medical University were retrospectively analyzed. According to the occurrence of IDH, the patients were divided into IDH group and intradialytic normotension group. The difference in body composition measured by BIA and its relationship with IDH were compared between the two groups. RESULTS: Compared with intradialytic normotension group, the intracellular water (ICW) ratio (P = 0.009), extracellular water (ECW) ratio (P = 0.029), total body water (TBW) ratio (P = 0.012), protein ratio (P = 0.010), soft lean mass (SLM) ratio (P = 0.011), fat-free mass (FFM) ratio (P = 0.012) and skeletal muscle mass (SMM) ratio (P = 0.009) in IDH group were significantly decreased. However, the fat mass (FM) ratio (P = 0.016), percentage body fat (PBF) ratio (P = 0.001), extracellular water/total body water (ECW/TBW) ratio (P = 0.036), extracellular water/total body water in trunk (ECW/TBWT) ratio (P = 0.045) and visceral fat area (VFA) (P = 0.003) in IDH group were significantly increased when compared with intradialytic normotension group. In addition, there was a positive correlation between systolic blood pressure (SBP) during IDH and ECW ratio, ECW/TBW ratio, and ECW/TBWTR ratio before dialysis. CONCLUSIONS: The body composition of dialysis patients is closely related to the occurrence of IDH. Strengthening the body composition management of dialysis patients outside the hospital may reduce the occurrence of IDH and improve the long-term prognosis of dialysis patients.

Prevalence and related factors of sarcopenia in newly diagnosed cancer patients.

INTRODUCTION: Sarcopenia is defined as the loss of muscle mass and muscular functioning. Although sarcopenia prevalence is highly variable in the literature, pre-chemotherapy sarcopenia prevalence was not well studied in newly diagnosed cancer patients. In this context, the present study aims to determine the prevalence of sarcopenia and its related factors in this population. MATERIAL AND METHODS: Prospectively, newly diagnosed cancer patients were evaluated for body composition measurement and muscle strength by employing the bioelectric impedance analysis method and handgrip dynamometer tool. RESULTS: A total of 461 patients were included in the study. The median age of patients was 59 years (range 18-83) and 258 patients (56%) were women. Sarcopenia was present in 77 patients (16.7%) and was at significantly higher frequencies in men (p = 0.015), advanced age (≥ 65 years, p = 0.014), lower body mass index (BMI < 25, p = < 0.001), and poor performance status (ECOG status > 0, p = 0.026). In multivariate analyses, advanced age (over 65 years), gender (men), and lower body mass index (BMI < 25) were significantly associated with sarcopenia (p values 0.033, < 0.001, and < 0.001, respectively). CONCLUSIONS: Our study is the first prevalence study conducted with bioelectric impedance analysis on Turkish cancer patients and sarcopenia was detected to be notably prevalent among our patients with newly diagnosed cancer. Given the likely negative outcomes of sarcopenia reported in the literature (treatment failure, increased complications, and impaired survival), it is important to know the presence of sarcopenia before treatment and take preventive precautions.

Reliability and Validity of Commercially Available Low-Cost Bioelectrical Impedance Analysis.

Research comparing portable body composition methods, such as bioelectrical impedance analysis (BIA), to air displacement plethysmography (ADP) is limited. We assessed reliability and validity of predicting fat-free mass (FFM) by the RJL, Omron, and Tanita BIA machines using ADP via BodPod as a criterion. FFM (kg) was assessed twice in college students (N = 77, 31 males and 46 females; age = 19.1 ± 1.2 years) using ADP, RJL, Omron, and Tanita BIAs. Reliability was assessed using analysis of variance to obtain an intraclass correlation statistic (Rxx). Validity was assessed using Pearson correlation (r) coefficient. FFM averaged 75.6 ± 9.4 kg in men and 59.8 ± 7.6 kg in women. Reliability was high in both genders RJL (Rxx = .974-.994), Omron (Rxx = .933-.993), and Tanita (Rxx = .921-.991). Validity within males was also high: RJL (r = .935), Omron (r = .942), and Tanita (r = .934), and only slightly lower in females: RJL (r = .924), Omron (r = .897), and Tanita (r = .898). The RJL, Omron, and Tanita BIA machines appear to be both reliable and valid for predicting FFM of male and female college students. Therefore, any of these three BIA devices is appropriate to use for body composition assessment in a healthy adult population.

Preliminary research on body composition measurement using X-ray phase contrast imaging.

Body composition measurement is of cardinal significance for medical and clinical applications. Currently, the dual-energy X-ray absorptiometry (DEXA) technique is widely applied for this measurement. In this study, we present a novel measurement method using the absorption and phase information obtained simultaneously from the X-ray grating-based interferometer (XGI). Rather than requiring two projection data sets with different X-ray energy spectra, with the proposed method, both the areal densities of the bone and the surrounding soft tissue can be acquired utilizing one projection data set. By using a human body phantom constructed to validate the proposed method, experimental results have shown that the compositions can be calculated with an improved accuracy comparing to the dual energy method, especially for the soft tissue measurement. Since the proposed method can be easily implemented on current XGI setup, it will greatly extend the applications of the XGI, and meanwhile has the potential to be an alternative to DEXA for human body composition measurement.

Phase-contrast imaging for body composition measurement.

PURPOSE: In this paper, we propose a novel method for human body composition measurement, especially for the bone mineral density (BMD) measurement. The proposed method, using the absorption and differential phase information retrieved from X-ray grating-based interferometer (XGBI) to measure the BMD, has potential to replace dual-energy X-ray absorptiometry (DEXA), which is currently widely used for body composition measurement. METHODS: The DEXA method employs two absorption images acquired at two different X-ray spectra (high energy and low energy) to calculate the human body composition. In this paper, a new method to calculate BMD using a single X-ray measurement is proposed. XGBI is a relatively new X-ray technique that provides absorption, phase and scattering information simultaneously using a single X-ray spectrum. With the absorption and differential phase information retrieved from XGBI, BMD can be measured using only one single X-ray spectrum. Numerical simulations are performed with a body phantom of bone (Cortical, ICRU-44) surrounded by soft tissue (Soft, ICRU-44). BMD is calculated with both the DEXA method and the proposed method. RESULTS: Results show that BMD can be measured accurately with the proposed method; moreover, better signal-to-noise ratio (SNR) is obtained compared to DEXA. CONCLUSION: With the proposed method, BMD can be measured with XGBI setup. Further, the proposed method can be realized using current X-ray phase-contrast imaging (XPCI) apparatus without any hardware modification, suggesting that this technique can be a promising supplementary function to current XPCI equipment.

Psoas muscle area is not representative of total skeletal muscle area in the assessment of sarcopenia in ovarian cancer.

BACKGROUND: Computed tomography measurements of total skeletal muscle area can detect changes and predict overall survival (OS) in patients with advanced ovarian cancer. This study investigates whether assessment of psoas muscle area reflects total muscle area and can be used to assess sarcopenia in ovarian cancer patients. METHODS: Ovarian cancer patients (n = 150) treated with induction chemotherapy and interval debulking were enrolled retrospectively in this longitudinal study. Muscle was measured cross sectionally with computed tomography in three ways: (i) software quantification of total skeletal muscle area (SMA); (ii) software quantification of psoas muscle area (PA); and (iii) manual measurement of length and width of the psoas muscle to derive the psoas surface area (PLW). Pearson correlation between the different methods was studied. Patients were divided into two groups based on the extent of change in muscle area, and agreement was measured with kappa coefficients. Cox-regression was used to test predictors for OS. RESULTS: Correlation between SMA and both psoas muscle area measurements was poor (r = 0.52 and 0.39 for PA and PLW, respectively). After categorizing patients into muscle loss or gain, kappa agreement was also poor for all comparisons (all κ < 0.40). In regression analysis, SMA loss was predictive of poor OS (hazard ratio 1.698 (95%CI 1.038-2.778), P = 0.035). No relationship with OS was seen for PA or PLW loss. CONCLUSIONS: Change in psoas muscle area is not representative of total muscle area change and should not be used to substitute total skeletal muscle to predict survival in patients with ovarian cancer.

[Sarcopenia in rheumatoid arthritis].

The clinical picture of rheumatoid arthritis covers the condition of chronic inflammation connected to the increased concentration of inflammatory mediators, reduced physical activity, immobilization caused by pain, stiffness and joint destruction as well as accompanying hormonal and metabolic disorders. It all may lead to extra-articular complications, also to the loss of muscle mass with the weakness of muscle strength, adding to the disability and significantly lowering the patients' quality of life. Sarcopenia is an advanced form of muscle mass loss which constitutes an independent and vital threat for dexterity. Attempts are made to define and classify sarcopenia basing on the measurements of muscle mass where the examinations are conducted by the method of computed tomography, magnetic resonance imaging, absorptiometry of two X-ray beams of various energies, electric bioimpedance and anthropometric methods. The data gained in few studies conducted in order to estimate the reduction of muscle mass in patients with rheumatoid arthritis confirm the significant increase of sarcopenia occurence in this group. Procedure with rheumatoid arthritis covers primarily treatment of the inflammatory process with traditional and biological medicaments that modify the course of illness. Such treatment seems to diminish the risk of equal sarcopenia occurrence. The effectiveness of using anabolic medicaments and high protein diet has not been proved. Currently, regular physical activity including aerobic exercise and exercises with load is considered a good method of muscle mass loss prevention and a procedure in case of confirmed muscle mass loss.

Preterm infant body composition cannot be accurately determined by weight and length.

BACKGROUND: Body composition is a key metric for assessing nutrition in preterm infants. In many neonatal intensive care units body composition is estimated using anthropometric indices which mathematically combine body weight and length. However, the accuracy of these indices is unknown in preterm infants. In contrast, air-displacement plethysmography (ADP) has been shown to accurately measure neonatal fat mass, but it is not widely available. OBJECTIVE: The aim was to determine which anthropometric index is most correlated to infant fat mass, as determined by ADP. DESIGN: We performed a retrospective observational study, comparing ADP-determined percent body fat at 366 time points for 239 preterm infants (born <32 weeks), with simultaneous weight and length measurements. Non-linear regression was performed to determine the best fit anthropometric index to the body fat percentage as determined by ADP. Our non-linear regression model, % fat = AxwtαxLß, is the generalization of the most common anthropometric indices (BMI, ponderal index, etc.). RESULTS: The best-fit regression formula most closely matched the formula for BMI. However, the regression explained only 51% of variability seen in body fat percentage at post-menstrual age <50 weeks, and 16% of variation seen at 50 weeks or greater. CONCLUSION: Even optimal formulas relating weight and length to body fat percentage predict only a fraction of the variation seen in body composition, especially beyond 50 weeks. BMI was the anthropometric index most predictive of body fat percentage, but still has limited accuracy.

Reproducibility of MRI Dixon-Based Attenuation Correction in Combined PET/MR with Applications for Lean Body Mass Estimation.

UNLABELLED: The aim of this study was to assess the reproducibility of standard, Dixon-based attenuation correction (MR-AC) in PET/MR imaging. A further aim was to estimate a patient-specific lean body mass (LBM) from these MR-AC data. METHODS: Ten subjects were positioned in a fully integrated PET/MR system, and 3 consecutive multibed acquisitions of the standard MR-AC image data were acquired. For each subject and MR-AC map, the following compartmental volumes were calculated: total body, soft tissue (ST), fat, lung, and intermediate tissue (IT). Intrasubject differences in the total body and subcompartmental volumes (ST, fat, lung, and IT) were assessed by means of coefficients of variation (CVs) calculated across the 3 consecutive measurements and, again, across these measurements but excluding those affected by major artifacts. All subjects underwent a body composition measurement using air displacement plethysmography (ADP) that was used to calculate a reference LBMADP A second LBM estimate was derived from available MR-AC data using a formula incorporating the respective tissue volumes and densities as well as the subject-specific body weights. A third LBM estimate was obtained from a sex-specific formula (LBMFormula). Pearson correlation was calculated for LBMADP, LBMMR-AC, and LBMFormula Further, linear regression analysis was performed on LBMMR-AC and LBMADP. RESULTS: The mean CV for all 30 scans was 2.1 ± 1.9% (TB). When missing tissue artifacts were excluded, the CV was reduced to 0.3 ± 0.2%. The mean CVs for the subcompartments before and after exclusion of artifacts were 0.9 ± 1.1% and 0.7 ± 0.7% for the ST, 2.9 ± 4.1% and 1.3 ± 1.0% for fat, and 3.6 ± 3.9% and 1.3 ± 0.7% for the IT, respectively. Correlation was highest for LBMMR-AC and LBMADP (r = 0.99). Linear regression of data excluding artifacts resulted in a scaling factor of 1.06 for LBMMR-AC CONCLUSION: LBMMR-AC is shown to correlate well with standard LBM measurements and thus offers routine LBM-based SUV quantification in PET/MR. However, MR-AC images must be controlled for systematic artifacts, including missing tissue and tissue swaps. Efforts to minimize these artifacts could help improve the reproducibility of MR-AC.

A randomized comparison study regarding the impact of short-duration, high-intensity exercise and traditional exercise on anthropometric and body composition measurement changes in post-menopausal women--A pilot study.

BACKGROUND: The mode and duration of exercise necessary to change body composition and reduce weight remains debatable. Menopause results in hormonal changes that preclude weight loss. This randomized pilot study compared the effects of short-duration, high-intensity interval training and traditional exercise on anthropometric and body composition measurement changes in post-menopausal women. OBJECTIVE: To compare the effects of short-duration, high-intensity interval training and traditional methods of exercise (walking) on anthropometric, body composition and body weight change over a 12-week period. MAIN OUTCOME MEASURES: Subjects (N = 18) were post-menopausal, sedentary female volunteers, randomly assigned into one of two exercise groups. Both groups exercised five out of seven days for 12 weeks. The resistance group (n = 8) (54.3 ± 7.3 years; BMI = 28.0 ± 2.1 kg/m(2); mean ± SD) exercised for 15.0 ± 3.5 min, which consisted of five different exercise routines including upper and lower extremity, a cardio segment, yoga and abdominal exercises. The walkers (n = 10) (56.6 ± 5.2 years; BMI = 29.2 ± 2.6 kg/m(2); mean ± SD) exercised for 40.0 ± 5.0 min at 65% of their age-predicted maximum heart rate. Relative (%) body fat was measured via DEXA scan, along with five anthropometric measurements, all of which were taken prior to and after 12 weeks. Independent sample t-tests were probed for differences, p ≤ 0.05. RESULTS: No statistically significant changes were determined between the groups for pre-and post-measurements. CONCLUSIONS: The outcomes of this study provide a foundation for future comparisons of short-duration high-intensity interval training exercise and traditional exercise, or walking, on anthropometric and body composition measurement changes in sedentary, overweight, post-menopausal females over a 12-week period.

[Sarcopenia in rheumatoid arthritis].

The clinical picture of rheumatoid arthritis covers the condition of chronic inflammation connected to the increased concentration of inflammatory mediators, reduced physical activity, immobilization caused by pain, stiffness and joint destruction as well as accompanying hormonal and metabolic disorders. It all may lead to extra-articular complications, also to the loss of muscle mass with the weakness of muscle strength, adding to the disability and significantly lowering the patients' quality of life. Sarcopenia is an advanced form of muscle mass loss which constitutes an independent and vital threat for dexterity. Attempts are made to define and classify sarcopenia basing on the measurements of muscle mass where the examinations are conducted by the method of computed tomography, magnetic resonance imaging, absorptiometry of two X-ray beams of various energies, electric bioimpedance and anthropometric methods. The data gained in few studies conducted in order to estimate the reduction of muscle mass in patients with rheumatoid arthritis confirm the significant increase of sarcopenia occurence in this group. Procedure with rheumatoid arthritis covers primarily treatment of the inflammatory process with traditional and biological medicaments that modify the course of illness. Such treatment seems to diminish the risk of equal sarcopenia occurrence. The effectiveness of using anabolic medicaments and high protein diet has not been proved. Currently, regular physical activity including aerobic exercise and exercises with load is considered a good method of muscle mass loss prevention and a procedure in case of confirmed muscle mass loss.