Background: Body weight unloading is a common method of gait rehabilitation. However, little is known about its effects on the overground gait biomechanical parameters which were often confounded by the walking modality (treadmill) or the speed variability when subjects walked overground while having to pull the body weight unloading system to which they were attached. By designing a mechanical device that pulled the system at a constant speed, we were able to assess the unique effects of body weight unloading on healthy subjects' kinetics during overground gait.
Methods: Fifteen healthy subjects walked overground under three (0%, 15%, and 30%) body weight unloading experimental conditions. Kinetic measures included hip and knee frontal plane moments and impulses and the foot center of pressure.
Findings: A significant inverse relationship was shown between increased body weight unloading levels (0% to 30%) and a decrease in the hip and knee first adduction moments and impulses and an increase in the lateral shift of the foot center of pressure. Frontal plane hip and knee kinetic curvature patterns remained similar as evidenced by low normalized RMSE under paired comparisons of the experimental conditions.
Interpretation: Overground gait with up to 30% body weight unloading stands out as an efficient method of reducing loads on joints without distorting kinetic gait curvature patterns. The relationship between increased unloading with decreased hip and knee moments and impulses and increased lateral shift of the center of pressure also suggests that this shift may be an important diagnostic tool in gait assessment and correction.
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http://dx.doi.org/10.1016/j.clinbiomech.2016.09.005 | DOI Listing |
J Anim Physiol Anim Nutr (Berl)
December 2024
Department of Veterinary Medicine and Animal Sciences, University of Milan, Lodi, Italy.
Food leftovers can be used as alternative feed ingredients for monogastric to replace human-competing feedstuffs, such as cereals, recycle a waste product, reduce the feed-food competition and keep nutrients and energy in the feed-food chain. Among food leftovers, former food products (FFPs) are no more intended for human but still suitable for animal consumption. However, the metabolic impact of FFP has never been investigated.
View Article and Find Full Text PDFClin Endocrinol (Oxf)
December 2024
Department of Pediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Background: Osteocalcin is a metabolic active hormone, which correlates positively with bone formation and inversely with body mass index and waist circumference in adults.
Objectives: To investigate whether osteocalcin in infancy and early childhood were related to childhood growth or body composition.
Methods: A Swedish longitudinal birth cohort with blood samples from 551 children from birth until 5 years of age.
Pediatr Diabetes
December 2024
Department of Pediatrics, Division of Pediatric Endocrinology, University of Michigan, Ann Arbor, USA.
Context: Insulin sensitivity and secretion indices can be useful tools in understanding insulin homeostasis in children at risk for diabetes. There have been few studies examining the reproducibility of these measures in pediatrics.
Objective: To determine whether fasting or oral glucose tolerance test (OGTT)-derived insulin measures would be more reproducible and whether there would be differences based on weight, sex, race, and pubertal status.
World J Clin Cases
December 2024
Faculty of Medicine, Alatoo International University, Bishkek 720048, Kyrgyzstan.
Background: Obesity and type 2 diabetes mellitus (T2DM) are frequent co-occurring disorders that affect regular metabolic functions. Obesity has also been linked to an increased risk of developing diabetes. Obesity and diabetes are on the rise, increasing healthcare costs and raising mortality rates.
View Article and Find Full Text PDFFront Nutr
December 2024
Department of Systems Biology and Bioinformatics, Institute of Computer Science, University of Rostock, Rostock, Germany.
Introduction: Disease-related malnutrition is common but often underdiagnosed in patients with chronic gastrointestinal diseases, such as liver cirrhosis, short bowel and intestinal insufficiency, and chronic pancreatitis. To improve malnutrition diagnosis in these patients, an evaluation of the current Global Leadership Initiative on Malnutrition (GLIM) diagnostic criteria, and possibly the implementation of additional criteria, is needed.
Aim: This study aimed to identify previously unknown and potentially specific features of malnutrition in patients with different chronic gastrointestinal diseases and to validate the relevance of the GLIM criteria for clinical practice using machine learning (ML).
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