View clinical trials related to Body Weight.
Filter by:This study will address the following aims: Aim 1: Conduct an 8-week pilot RCT to examine the effects of a whole foods diet intervention on body adiposity in adolescents with obesity. Aim 1a (Primary): Evaluate intervention effectiveness on total fat mass following the 8-week intervention. Hypothesis 1a: Adolescents randomized to the whole foods intervention will have lower total fat mass (kg) at the 8-week follow-up than those in the control group. Aim 1b: Evaluate intervention effectiveness on anthropometric changes following the 8-week intervention. Hypothesis 1b: Adolescents randomized to the whole foods intervention will have lower weight, BMI-z scores and/or waist circumference at the 8-week follow-up than those in the control group. Secondary Aims: Aim 2: Conduct an 8-week pilot RCT to examine the effects of a whole foods diet intervention on diet quality in adolescent and parent pairs during the study period. Hypothesis 2: Adolescents and parents randomized to the whole foods intervention will have higher diet quality scores at the 8-week follow-up than those in the control group. Aim 3: Conduct post-intervention family focus groups to identify how individual/family needs and preferences and social determinants of health (SDOH) may be perceived barriers and/or facilitators of diet adherence to a whole foods diet pattern.
Fetal Abdominal subcutaneous tissue thickness (FASTT) can be easily measured during the routine ultrasound examination of pregnant women. Numerous reports have shown FASTT measurement to be a good way of evaluating subcutaneous fat tissue. However, to the best of our knowledge, no studies have investigated the association of FASTT with abnormal fetal growth in nondiabetic. For this reason, in this study we evaluated whether FASTT can predict birth weight or diagnose LGA and/or LBW infants in the third trimester.
The objective of this clinical trial is to investigate the effect of weight reduction through a diet management application and an intelligent weight scale on a composite cardiovascular endpoint in obese patients with heart failure. The main questions are: Does the use of a diet management APP and intelligent weight scale reduce 1-year all-cause mortality, heart failure hospitalization, and first heart failure hospital stay? Does the use of a diet management APP and intelligent weight scale improve the outcomes of assessment of heart failure frailty and quality of life for heart failure? Researchers will compare using the fully functional diet management app and intelligent weight scale to using the limitedly functional app and intelligent weight scale to see if the app works to improve heart failure conditions. Participants will: Use the diet management app at every meal and the intelligent weight scale every day for 12 months, and visit the clinic at 12 months for checkups.
The goal of the study is to assess how tirzepatide impacts bodyweight and cardiovascular risk factors when used in conjunction with healthy nutrition and physical activity in adolescents with obesity and multiple weight related comorbidities. The study will last approximately 76 weeks and may include up to 23 visits.
The goal of this clinical trial is to observe for changes in rate of weight gain in the very low birth weight (VLBW) infants by adding an enteral Zinc supplement of 1 mg/kg/day of elemental zinc. The main question it aims to answer: • Does an enteral Zinc supplement of 1 mg/kg/day increase rate of weight gain in VLBW infants Researches will compare the experimental group to a placebo group to see if there is a statistical difference in rate of weight gain between the two groups - Once the participants have reached 100 ml/kg/day of enteral feeds. The participants will be randomized to one of two groups. The treatment group will receive ~1 mg/kg/day of elemental enteral Zinc, and the control group to receive similar amount of enteral sterile water put in a colored syringe. The Zinc Supplement would be Zinc Sulfate. The primary team would otherwise be managing the patient's feeding using our hospital's feeding protocol. As long as the patient is tolerating 100 ml/kg/day of enteral feeds, the Zinc Supplement will continue until 36 weeks postmenstrual age (PMA) or hospital discharge, whichever comes first. - The participants will have three Zinc levels measured: once prior to Zinc Supplementation, once at around the four week mark, and once at the completion of therapy.
To examine is user knowledge of a dietary self-monitoring (DSM) calorie tracking app and improving patient adherence to daily caloric food intake to help with weight loss.
The study addresses the pressing issue of overweight and obesity among breast cancer patients, which exacerbates recurrence rates and mortality risks. Its primary objective is to assess the efficacy of two intervention models, the Diet, Exercise, and Mindfulness (DEM) model and the Diet and Exercise (DE) model, in facilitating weight loss, enhancing self-efficacy, mindfulness, and quality of life. The anticipated outcomes include long-term engagement in online self-learning, overcoming the limitations of ineffective self-management learning, and empowering healthcare professionals with scenario-based teaching materials. Through online platforms, patients can learn and review without constraints, ultimately achieving a holistic balance among physical, mental, and spiritual health.
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.