View clinical trials related to Body Weight.
Filter by:This study looks into how a common breast cancer treatment, paclitaxel, can sometimes cause severe side effects that make it hard for patients to continue treatment. These side effects can significantly affect a patient's quality of life and even impact their recovery and overall health costs. What's interesting about this research is that it considers how a patient's lifestyle, specifically their physical activity levels and body makeup (like how much muscle and fat they have), might influence these side effects. The researchers are doing a detailed study with 40 women receiving paclitaxel treatment, tracking how the drug is processed in their bodies and how their body composition and physical activity might play a role in the side effects they experience. They are using a special method to monitor drug levels in the blood and are also keeping tabs on the patients' health and physical activity through questionnaires and modern tracking devices. The goal here is twofold: first, to better understand why these side effects happen to some people and not others, and second, to develop a model that can predict who might be at higher risk for these side effects based on their body composition, lifestyle, and how their body handles the drug. This could lead to more personalized treatment plans that could help reduce the risk of severe side effects and improve the overall treatment experience for patients with breast cancer. In simpler terms, this research is trying to find a way to make breast cancer treatment with paclitaxel safer and more comfortable by considering how a person's lifestyle and body type might affect their reaction to the drug. This could make a big difference in helping patients complete their treatment successfully and with a better quality of life.
This project anticipates addressing the obesity epidemics problem which has caused unhealthy lifestyle in billions of obesities and overweight people worldwide. The investigators propose on digital health solution in providing healthcare-on-demand, for personalized health, healthy lifestyle and weight management. This study proposes on using Cognitive Behavior Therapy (CBT) in decreasing individual's food craving, which is administered through AI (Assistive Intelligence) tracking. As with any new medicine, uncertain long-term effects and high costs of these new drugs are also critical factors considered by physicians and policy makers worldwide. Researchers have also reported on 85% of people re-gaining premedication weight after 5 years. There is no easily available self-controlled monitoring strategy/intervention for the unhealthy lifestyle is believed to be one of the main problems. Therefore, the investigators propose on the research and development of self-managing digital health APP (application) for 12 months over two phases, with three months to design APP and nine months to confirm the clinical validation. During the first phase, the investigators propose on design of an "AI Mindful Eating" App, to enhance individual's healthy lifestyle with subsequent weight-loss. Based on "gut-brain-axis", this is anticipated to be achieved by using CBT and AI is used to recognize nutrition and mood within mobile images. This facilitates fulfilling lifestyle and long-term weight-loss. Finally, the study proposes to complete function definition and clinical validation for our AI Humanity APP. By scheduled check-up program by monitoring and analyzing body weight, body fat, anthropometric and metabolic change data between case and control groups. The investigators intend to disclose the effect of the AI assistant APP in weight management and metabolic disease prevention.
This study aims to evaluate the efficacy of a multi-component lifestyle interventions during pregnancy on promoting appropriate gestational weight gain, preventing GDM, and improving pregnancy, delivery, and neonatal outcomes among overweight or obese pregnant women. The intervention strategies are developed based on the transtheoretical model and mobile health (via WeChat Public Account in smartphone), and will be conducted online and offline. This study will recruit and follow-up 200 overweight or obese singleton pregnant women (pre-pregnancy BMI≥24 kg/m2) during the first trimester of pregnancy from Weifang maternal and Child Health Center, Shandong Province, China. The 200 overweight or obese pregnant women will be randomly allocated at a 1:1 ratio to either the intervention or control group, stratified by the categorical variables of age, BMI and parity. Participants in the control group will be provided usual prenatal care. The lifestyle intervention will last for approximately 6 months (from 10-14 weeks to 32-36 weeks of gestation). Follow-up timepoints included 10-14 weeks of gestation,24-28 weeks of gestation,32-36 weeks of gestation. The interventions are composed of health education related to gestational weight gain and healthy lifestyles, diet modification, active physical activity, regular individual in-person and telephone sessions, diet behavior monitoring, physical activity monitoring, and weight monitoring with Huawei smart watch. The hypothesis is that lifestyle interventions based on the transtheoretical model and mobile health will result in more appropriate gestational weight gain and lower risk of adverse pregnancy outcomes compared with usual care.
Obesity, defined by WHO standards as having a body mass index (BMI) equal to or greater than 30 kg/m², affects approximately 800 million people worldwide. It is evident that obesity has become a serious public health issue, resulting in significant health burdens. Previous systematic reviews have indicated an association between obesity and male factor infertility. In populations undergoing assisted reproductive technology (ART), some studies have shown a correlation between increased male BMI and adverse ART outcomes. Furthermore, the negative effects of obesity may also be transmitted to offspring through genetic and epigenetic changes in reproductive cell DNA, increasing their risk of obesity, metabolic diseases, or other chronic conditions. Currently, there is a lack of data on the impact of weight loss in obese men on fertility, and it is unclear which nutritional pattern in lifestyle interventions can more effectively control weight, improve semen quality, and address related endocrine issues in obese men, thereby improving reproductive treatment outcomes. Based on previous literature, we hypothesize that lifestyle interventions, particularly strict low-carbohydrate diets combined with lifestyle guidance, may offer greater health benefits for obese men. These benefits include effective weight loss, improvement in semen parameters, reproductive metabolic health, quality of life related to reproductive health, and the impact on reproductive treatment outcomes. This provides a basis for non-pharmacological intervention strategies and methods for the health of obese men.
The goal of this clinical trial is to Improve the quality of life in Hemodialysis patient. The main questions it aims to answer are: - [Improve the self-compliance of dialysis patients with weight management] - [alleviate the volume load of dialysis patients and reduce cardiovascular complications] Participants will be divided into two groups based on a weight management regimen： Control group: received routine outpatient management. Specific methods: The dialysis doctor registered the information of the patient's weight and blood pressure at the end of dialysis, and informed the patient of the purpose, role and importance of weight management. Intervention group: On the basis of routine outpatient management, patients or their family members were subjected to remote follow-up management based on wechat, and the follow-up time was 6 months. Specific methods: Same as the control group, the information of weight and blood pressure of the patients was registered at the end of dialysis, and the purpose, role and importance of weight management were informed to the patients. On this basis, a special wechat signal is set up to add patients or patients' family members as wechat friends and establish a wechat interaction platform with patients. In the interdialysis period, remind patients to weigh themselves through wechat (the time of each weighing is fixed, preferably consistent with the time of weighing in the hemodialysis center), control the weight gain during the interdialysis period not to exceed 4.5% of dry weight, and inform patients again about the purpose, role and importance of weight management.
The goal of this clinical trial is to study the effects of a intensive weight loss program (STREAM) in patients living with PCOS. The main questions the investigators aim to answer are: how much weight will these patients lose over a 24-week program, and what other health markers (ie., insulin sensitivity) will improve and by how much? Participants will complete a 24-week weight loss program (STREAM). During this program they will: - weigh themselves - complete regular bloodwork and - fill out a Quality of Life questionnaire at regular intervals
The regulation of human body weight and fatness is not fully understood. Although some models of regulation have been proposed (set point, dual-intervention point, others), no studies have been designed to test their predictions. In this pilot and feasibility study, the investigators will implement an experimental approach to test the predictions of models of body weight regulation in humans. Men and women with either underweight or obesity will be exposed to a 2-day fasting followed by a 2-day ad-libitum refeeding. During the entire fasting-refeeding period, energy intake and expenditure will be accurately measured within metabolic chambers. The investigators will therefore determine the compensatory responses to fasting elicited to prevent weight loss. The results will serve to design and power future studies to better understand body weight regulation.
The Investigators propose suture plication placement at the distal gastric body drives a significant portion of weight loss in endoscopic sleeve and sutures only need to be placed in the distal gastric body. Therefore, in this pilot study, the investigators aim to compare "belt" with "belt and suspenders" plication pattern using the Endomina system to determine percent total weight loss.
The goal of this experiment is to examine the effects on explicit weight bias of a selection task using 4 different types of front-of-package food labels to select healthy or unhealthy foods among a sample of Latine and low English proficiency adults. The main questions this experiment aims to answer are: - Does the use of different front-of-package label designs in a selection task lead to different effects on explicit weight bias among Latine and low English proficiency consumers? - Does the use of different front-of-package label designs in a selection task lead to different effects on attribution of personal responsibility for body weight among Latine and low English proficiency consumers? Participants will be randomly assigned to 1 of 4 types of front-of-package label designs. They will view 3 sets of products (frozen meals, frozen pizzas, and frozen desserts), shown in random order. For each product set, participants will view 3 products shown in random arrangement, each with participants' randomly assigned label shown on the front of package. After viewing all 3 product types, participants will answer questions about explicit weight bias and attribution of responsibility for body weight. Researchers will compare results across label designs.
- Efficacy of olanzapine on weight gain in advanced stage gynecologic cancer - Proprotion of pateints in advanced stage gynecologic cancer who recieving paclitaxel and carboplatin chemotherapy gain weight on olanzapine or placebo