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To investigate the changes in self-reported outcomes and body composition among colorectal cancer (CRC) patients over the course of chemotherapy and differences in body composition among different self-reported trajectory subgroups. Prospective longitudinal study. This longitudinal study surveyed 201 CRC patients from a cancer hospital in Fuzhou, China. Collected via a patient-reported outcome questionnaire, a bioelectrical impedance analyzer, a grip strength meter, a 30-s standing and sitting test, body circumference measurements, and skinfold thickness measurements. We explored trends in the abovementioned variables in the early, middle, and late stages of chemotherapy in CRC patients and differences in body composition under different patient reporting trajectories. This study adhered to the relevant STROBE checklist-guided reporting. The overall severity of the chemotherapy results reported by the patients increased from T1 to T2 (overall health outcome: -7.51%; function: -2.55%; and symptoms: 0.67%), followed by a slow recovery (overall health outcome: 1.31%; function: 1.83%; and symptoms: -2.79%). Different trajectory subgroups were observed, indicating the complexity of the patients' experiences during chemotherapy. During chemotherapy, obesity-related indicators (weight, BMI, body fat rate, etc.) significantly increased ( < 0.05). Although skeletal muscle mass did not change significantly over time ( > 0.05), the overall outcome and symptom trajectory subgroups reported by the patients during chemotherapy ( < 0.05) were significantly different. : It is necessary for healthcare workers to conduct dynamic assessments of patients with moderate to severe self-reported results as early as possible, give attention to the deterioration of body composition during chemotherapy, and explore effective measures to improve patients' body compositions to further optimize the patient experience. Nursing managers should promptly monitor patients' body composition and subjective experiences changes during treatment. Customized supportive care based on body composition measurements to optimize health outcomes, enhancing the personalization and precision of medical services.
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http://dx.doi.org/10.1155/jonm/1268096 | DOI Listing |
Abdom Radiol (NY)
September 2025
Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK.
Objectives: The escalating global incidence of obesity, cardiometabolic disease and sarcopenia necessitates reliable body composition measurement tools. MRI-based assessment is the gold standard, with utility in both clinical and drug trial settings. This study aims to validate a new automated volumetric MRI method by comparing with manual ground truth, prior volumetric measurements, and against a new method for semi-automated single-slice area measurements.
View Article and Find Full Text PDFEur J Heart Fail
September 2025
Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, Dallas, TX, USA.
Aims: Obesity is commonly hypothesized to lead to the development of heart failure (HF) in part due to increases in blood volume (BV) and left ventricular (LV) remodelling. Whether adiposity and obesity severity are associated with BV expansion and subsequent LV remodelling in middle-aged individuals at increased risk (IR) prior to the onset of HF is unknown.
Methods And Results: We analysed data from 96 middle-aged (40-64 years) non-obese (25.
Pediatr Pulmonol
September 2025
Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, University of Minnesota, Minneapolis, Minnesota, USA.
Background: The approval of cystic fibrosis transmembrane conductance regulator modulators elexacaftor/tezacaftor/ivacaftor (ETI), has significantly improved pulmonary function for people with cystic fibrosis (pwCF). However, the effects on CF-related bone disease and body composition remain unclear.
Methods: This retrospective real-world study examined adults with CF who received ETI treatment.
Int J Environ Health Res
September 2025
Unidad Interinstitucional de Investigación Clínica y Epidemiológica, Facultad de Medicina, Universidad Autónoma de Yucatán, Mérida, México.
The human microbiota consists of millions of microorganisms, predominantly bacteria, that inhabit the body and form communities. Each human body site has a unique population that is specifically adapted to complement the metabolic functions of the environments in which they are present. These microbial communities begin to form at birth, with their primary establishment occurring during the early years of childhood and persisting in adulthood.
View Article and Find Full Text PDFJ Obes
September 2025
School of Natural Sciences, University of Lincoln, Lincoln, UK.
To investigate the genetic determinants of fat distribution across anatomical sites and their implications for health outcomes. We analyzed neck-to-knee MRI data from the UK Biobank ( = 37,589) to measure fat at various locations and used Mendelian randomization to assess effects on 26 obesity-related diseases and 94 biomarkers from FinnGen and other consortia. We identified genetic loci associated with 10 fat depots: abdominal subcutaneous adipose tissue ( = 2 loci), thigh subcutaneous adipose tissue (25), thigh intermuscular adipose tissue (15), visceral adipose tissue (7), liver proton density fat fraction (PDFF) (8), pancreas PDFF (11), paraspinal adipose tissue (9), pelvic bone marrow fat (28), thigh bone marrow fat (27), and vertebrae bone marrow fat (5).
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