View clinical trials related to Body Weight.
Filter by:Childhood obesity is a global public health issue, with rising prevalence rates. In Spain, the problem is significant, particularly in the southern regions. Factors contributing to childhood obesity include dietary habits, lack of physical activity, and socioeconomic influences. Efforts to address childhood obesity in Spain include various programs focusing on dietary modification, increased physical activity, and family involvement. Despite these initiatives, there is a need for continued intervention, as changing dietary and lifestyle patterns have led to reduced fruit and vegetable consumption and increased sedentary behavior among children. Childhood obesity has concerning health implications, including heart-related issues. Echocardiography plays a vital role in early detection. Given the limited research on the impact of childhood obesity on musculoskeletal development and mobility, a comprehensive study is needed to analyze its prevalence and associated factors. The study aims to assess the effectiveness of nutritional interventions administered by school nurses. In summary, childhood obesity in Spain is a growing concern, with multifaceted causes and health implications. Ongoing efforts are required to combat this issue and promote healthier lifestyles among children.
This study aims to address the prevalence of undiagnosed hypertension and diabetes by assessing the impact of the FOR-Care model on preventive medicine. The model focuses on improving the documentation of blood pressure, height, and weight in outpatient settings. Through a cluster randomized trial at National Taiwan University Hospital, clinics will either implement the FOR-Care model or continue with usual care. The trial will evaluate the effectiveness of the intervention in documenting these measurements and its impact on diagnosing hypertension and diabetes. The outcomes will provide valuable insights into enhancing preventive medicine and improving care for chronic diseases.
Weight stigma and weight bias internalization (WBI) are common among adolescents at higher weight statuses. WBI is associated with negative physical and mental health outcomes. The current study aims to test intervention for weight stigma and WBI in conjunction with an evidence-based adolescent weight management program. Adolescents (ages 13-17) will participate in a 20-week program tailored to improve WBI and weight-related health behaviors in tandem. Primary outcomes are feasibility and acceptability of the developed intervention, assessed following the 20-week intervention.
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.
In recent years, the prevalence of overweight and obesity has increased dramatically worldwide, of which 34.3% and 16.4% of adults in China are overweight and obese, respectively, ranking first in the world's obese population. Dapagliflozin is a sodium-glucose transporter 2 Inhibitors that inhibits glucose reabsorption and promotes urinary glucose excretion by inhibiting renal proximal tubular sodium-glucose transporter 2 Inhibitors for the treatment of type 2 diabetes mellitus. The urinary glucose excretion induced by dapagliflozin can induce weight loss through energy loss or body water loss caused by osmotic diuresis. In addition, in patients with type 2 diabetes, dapagliflozin may also induce weight loss by reducing body fat as well as subcutaneous and visceral fat.In a randomized controlled trial, type 2 diabetes patients treated with sodium-glucose transporter 2 Inhibitors lost approximately 1-3 kg. Also, sodium-glucose transporter 2 Inhibitors have shown good weight loss in obese people without type 2 diabetes. In real-world studies, a minority of type 2 diabetes patients taking dapagliflozin experienced weight gain. The American Lipid Association defines a low carbohydrate diet as the calorie intake of carbohydrates accounting for 10-25% of the total daily energy intake. In a randomized controlled trial, a low-carbon diet showed a more significant decrease in body weight, fat mass index, whole body fat, and visceral fat after 8 weeks compared to the standard diet. So, this study intends to investigate whether the weight loss effect of dapagliflozin is affected by different dietary structures.
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.
In recent years, the technology to detect the gut microbiome's function has become increasingly developed. GMMs are tools (GitHub - raeslab/GMMs: A manually curated database of human gut metabolic modules.) for describing metabolic pathways for linking microbial metabolic function to species associated with a single metabolite, helping to analyze the transcriptional characteristics and metabolic functions of each bacterium, and studying their role of the food chain in the ecosystem. According to our previous research, the group with good weight loss response (more than 10% body weight loss in 8 weeks) after low-carb diet intervention has higher Shannon's diversity and carbohydrate degradation activity test by GMMs, implying the deficiency of availability of energy sources may cause more weight changes. Based on the above research, we designed a low-carb diet (rich in monounsaturated fatty acids) and a low-fat diet (whole grains) with the same calories as a means of weight loss. The primary purpose of this study is to evaluate the pre-GMM test for determines the weight loss benefit of the intervention diet. Furthermore, we try to found the possible mechanism of whether metabolites of microbiota (e.g. SCFA) could affect the immune cell change which modulates adipose tissue .
Researchers thought that the molecules Sfrp-5, Resistin and Netrin-4, which will be examine, they may have a significant effect on weight gain during pregnancy. Based on these foundations, researchers expect changes in the levels of these molecules in women who gain excessive weight during pregnancy. In this study, researchers aimed to examine the moderator relationship between the molecules will be examine and weight gain in women who gained weight above the normal limits determined during pregnancy. For this reason, 44 participant who gained excessive weight during pregnancy and 46 pregnant participant who gained normal weight were included in the study. The levels of Netrin-4, Sfrp-5 and Resistin molecules in the blood serum of the individuals in the study group were measured with a Commercial Elisa kit.
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.
The purpose of this study is to compare RMR values from the BIA, predicted equations, and indirect calorimetry.