View clinical trials related to Body Weight.
Filter by:This study is a parallel randomized controlled trial (RCT). To determine the effect of intermittent fasting, intermittent fasting with behavioral economics, and intensive lifestyle modification on nutritional status; the differences between HOMA-IR, body weight change, and body composition in obese people. Each participant will be randomized to receive the intervention (intermittent fasting, intermittent fasting with behavioral economics, or intensive lifestyle modification. The study protocol will be explained to the eligible participant and informed written consent will be obtained. The total sample size will be 123 participants. Blood and urine samples will be collected at baseline and each follow-up visit including 1-month, 2-months, 6-month, and 12-months, respectively for further study to find out the mechanisms of weight loss, weight regain, and the improvement in the metabolic disease.
The SCAN-AID study is a prospective, randomized, controlled, and unblinded study that compares the performance of novices in ultrasound fetal weight estimation. The study evaluates the impact of two levels of AI support: a straightforward black box AI and a more detailed explainable AI.
Haemodialysis (HD) is the most commonly used method among renal replacement therapy options in patients with End Stage Renal Failure. Although one of the most important factors affecting the success of this treatment is compliance with fluid restriction, the rates of non-compliance with fluid control vary between 10-74%. It is understood from the literature that fluid restriction is one of the most difficult areas in compliance with HD treatment. Interdialytic weight gain is the most widely accepted method to assess compliance with fluid control by measuring the amount of fluid accumulated in the body. Thus, studies on this subject have shown that excessive interdialytic weight gain is a common problem in HD patients. It is known that excessive interdialytic weight gain increases the risk of morbidity and mortality in HD patients. The main factors causing interdialytic weight gain are fluid and salt intake between two HD sessions is appears to be. Therefore, it is stated that the easiest solution to control excessive interdialytic weight gain is to reduce fluid and salt intake. However, studies have reported that HD patients have difficulty in adapting to a salt-restricted diet, and in this case, they increase their fluid consumption. Therefore, it is of vital importance that public health nurses carry out interventions to ensure HD patients' compliance with fluid and salt control. In the literature review conducted with this perspective, studies were encountered in which results were obtained that m-health interventions provided a decrease in interdialytic weight gain averages and sodium intake. In this direction, a HafifMod programme based on the use of mobile health technologies was created. The aim of the study is to examine the effect of the LightMod programme for fluid and salt control guided by the Health Belief Model on interdialytic weight gain in routine haemodialysis patients.
This is a prospective collection of data from adult patients who have had an endoscopic metabolic and bariatric endoscopy procedure (EMBT) for primary or revision surgical procedures for obesity.
The study aim is to evaluate a patient-centred intervention focusing on improved quality of life and wellbeing among individuals with obesity and risk factors for adverse outcome.
The purpose of the study is to determine if patients wearing a CAM boot have a change in weight compared to patients who wear a CAM boot and are provided nutritional guidelines and perform upper body exercises.
Kangaroo mother care plus massage therapy will lead to improved growth of preterm low birth weight infants at discharge.
In thıs study, planned for prımary chıldren between 7-11 years, pılates exercıses wıll be done wıth the chıldren who accept to partıcıpate ın the study wıth the accountance of the researcher and compared wıth the control group. Evaluatıon; parameters; engıne performance tests and body composıtıon analysıs.
Objectives: To look for the effect of upper limb loading with external weights during partial body weight support treadmill training on gait speed, gait endurance and trunk control. Hypothesis: Investigator's hypothesis is that loading the upper limb with 1 lb. external weights during partial body weight support treadmill training is more effective than partial body weight support treadmill training without loading of the upper limbs in improving gait speed, gait endurance and trunk control.
Whole-body diffusion-weighted MRI (WBDWI) is a non-invasive tool used for staging and response evaluation in oncologic practice and is at the core of emerging response criteria in advanced prostate and breast cancers. WBDWI is a sensitive tool that radiologists can use to review the extent of disease and is achieved using a series of sequential imaging stations from the head to the mid-thigh. WBDWI accounts for more than 50% of the acquisition time of conventional whole-body MRI studies with a 1-hour duration. Despite national and international guidance for using whole-body MRI, a recent UK survey indicated that only 27% of UK radiology departments were offering a whole-body MRI service with a lack of scanner availability cited by 50% of respondents as the main challenge to service delivery. In the context of the ever-increasing capacity pressures on MRI departments, reducing acquisition times would facilitate the wider adoption of clinical WBDWI, reduce costs, and improve the patient experience. DWI is also embedded into consensus MRI protocols across almost all tumour types including primary prostate and breast cancers, metastatic liver disease, gynaecological cancers & GI cancers, where acquisition time savings could also be beneficial. The investigators have previously published accelerated DWI with deep learning based denoising filters (quickDWI), which can provide up to 50% reduction in whole-body MRI acquisition times. The goal of the deep-learning algorithm is to remove the noise in these subsampled images, producing an image with acceptable clinical quality. The aim of this investigation is to extend this work by testing quickDWI within a larger retrospective data cohort, incorporating other cancers such as disease of the abdomen and pelvis, primary prostate cancer, liver metastases, and pancreatic cancer.