View clinical trials related to Weight Change, Body.
Filter by:A prospective interventional trial for 9 months will be carried out on 300 type-2 diabetes mellitus volunteer patients who are above 18-year-old and participants will be selected through consecutive sampling and will be evaluated on the basis of glycemic index and history of patients. Selected parameters will be measured at baseline and after the 12 weeks of therapy. Statistical analysis will be carried out by SPSS, ANOVA, and t-test. From this experimental design, we are expecting improvement in the management of glycemic index, reduction in systolic and diastolic blood pressure, and reduction in weight GLP-1 naive patients.
Thyroid hormones play an important role in the regulation of the body's metabolism. But the relationship between thyroid hormone status and the basal metabolism rate is not absolute. Because thyroid hormone function is not the only factor of control the metabolism and it can be influenced by various factors such as physical activity and diet. Weight change after thyroidectomy is one of the concerns for thyroid cancer patients. The evidence on the bodyweight changes following thyroidectomy has not been established well. Being overweight and obese can increase the risk of developing many potential health problems, such as heart disease, diabetes, high blood pressure, and malignant disease. Recently, digital health care technology has been developed and applied for medical purposes in many clinical practices. Digital Lifestyle Management is one of the strategies that can be helpful for the obese to control their body weight by lifestyle modification. It provides comprehensive, multifactorial, intensive interventions which are delivered via the digital health care mobile service Noom application. The aim of this study is to evaluate the efficacy of digital lifestyle management on body weight and quality of life after total thyroidectomy in thyroid cancer patients by using the digital health care Noom application.
The aim of this study is to utilize the E-Health platform (EHIP) containing behavioural tipps to enable the provision of early appropriate nutrition recommendations to patients undergoing cancer therapy thereby stabilizing the nutrition status as measured with the scored Patient-Generated Subjective Global Assessment. Furthermore, we plan to explore the causal pathway between the change in the number and severity of nutrition related symptoms, measure the difference in weight change in percent between the two groups, determine a change in the level of the distress status, and measure the change in functional status. This Information could provide a basis for future nutrition intervention strategies aimed at improving overall nutrition status of patients undergoing cancer therapy and could potentially improve clinical and functional outcomes of this population.
This research will test the efficacy of a weight management intervention through a three-group randomized trial: mHealth only, mHealth+Community Health Worker (CHW) support, versus control group, among residents of Boston's public housing developments. The mHealth group consists of a 1-year text messaging program to promote diet and physical activity behavior changes and the CHW support consists of monthly phone counseling delivered by a CHW to support the text messaging program. Our hypothesis is that the mHealth+CHW group will be more effective in bringing about weight loss compared to mHealth alone or the assessment only control group. The findings are expected to inform future health promotion efforts among residents in public housing developments.
Relative Energy Deficiency in Sport (RED-S) characterizes a range of negative health and performance outcomes that result from chronically low energy availability. RED-S concerns high performance junior and senior athletes across Canada and has a prevalence rate of 3-60%. Our ability to assess and diagnose RED-S remains poor. Accordingly, we aim to create the best parameters to diagnose and manage RED-S; along with information of the prevalence and severity across Canada and globally. These outcomes are expected to have a significant positive impact on the health and performance of Canadian athletes in preparation for the Olympic Games in 2022 and beyond.
Many patients would benefit from dietary/nutritional support to better manage their conditions but evaluating current intake in relation to personal targets is labour-intensive and often does not feature as part of clinical consultations. Primary objective: test usability and acceptability of 'myfood24 Health' for monitoring dietary intake in a group of patients. Recruit 60 gastroenterology surgery patient (Leeds) and 60 Tier 3 Weight Management patients (30 Leeds/ 30 York). Randomise to 3 groups 1. usual care 2. myfood24Health 3. myfood24Health plus personalised feedback 'diet optimisation engine' which suggests changes to amounts or types of foods During a 2-month follow-up, patients in group 2 or 3 will be asked to record daily diet in myfood24, including weekend and weekdays and use it a minimum of 4 times. HCPs will be able to review diet/nutrients for group 2 and 3 patients and can support dietary change or nutritional goals, as part of patients' ongoing clinical management, during existing scheduled clinic visits (N.B. not all participants will have a scheduled clinic appointment during the study). 2 months after recruitment, all participants will receive a link to an online feedback questionnaire. At end of study, HPCs will be invited to provide feedback during a 30 minute interview.
In this is an observational study, obese patients that administed and followed in endocrinology clinic of Marmara University Medical school hospital will follow for clinical and laboratory parameters prospectively for 5 years
The participants will visit the laboratory on 3 occasions, once for a preliminary visit and a further two occasions to complete experimental trials in a randomised order. The experimental trials will consist of cycling under two conditions; HIIE-First followed by Continuous (Trial-A) or Continuous-First followed by HIIE (Trial-B). Participants will be asked to standardise their diet for 24-hours and complete an overnight fast prior to visiting the laboratory. Participants will then complete 60-min of cycling split throughout the day into two 30-min bouts, HIIE or continuous cycling before breakfast followed by a 3.5 hour rest period before completing their remaining 30-min HIIE or Continuous cycling before lunch. Each experimental trail will last approximately 8 hours and begin at 08:00am. Throughout the trial measurements of subjective feelings of appetite, gastric emptying rate, substrate utilisation and regular blood samples will be taken. Post-trial nutritional and well-being questionnaires will be collected at 24-h post. Study hypothesis 1. The order in which continuous and HIIE is undertaken will result in differences in gastric emptying rate after ingesting a semi-sold lunch? 2. Depending on which mode of exercise is undertaken first will result in different gastrointestinal hormone responses, metabolic responses and appetite responses throughout the trial day? 3. Will the order in which different modes of exercise, undertaken within the same day effect nutritional intake and well-being 24-h after both exercise bout have been completed? 4. Is substrate oxidation effected by the order in which multiple exercise bout of different modes are undertaken within the same day.
To assess the effect of wearing a custom-fitted, FDA-registered, Class I device, compression garment (Obesinov, S.A.R.L.) by an individual with a BMI ≥ 35 on his/her day-to-day quality of life over a period of one year. Various measures of quality of life will be taken, including assessing an individual's level of pain, mood, self-stigma and comfort with the use of a compression garment. Additionally, to assess the impact of the compression garment on activity, strength, posture and movement of an individual with a BMI ≥35 over the period of one year.
The investigators will study the influence of initial fat cell size/number and adipose function (in particular lipolysis) on weight development over very long time periods (years). By comparing investigations of fat biopsies or blood samples obtained at baseline, the investigators will determine the association between adipose morphology/function and changes in weight or development of metabolic complications (e.g. metabolic syndrome, glucose intolerance, type 2 diabetes, dyslipidemia and hypertension).