# Trends and Perspectives of mHealth in Obesity Control
## 1 Introduction
Additionally, remote monitoring and telehealth services have become increasingly significant, especially during the COVID-19 pandemic, facilitating virtual consultations, remote coaching, and support from healthcare professionals [14, 33]. Numerous studies have demonstrated the effectiveness of mHealth interventions for weight control in promoting weight loss, improving dietary behaviors, and increasing physical activity levels [26, 34]. Randomized controlled trials (RCTs) have shown that mobile apps, when combined with personalized coaching or counseling, can yield clinically significant weight-loss outcomes comparable to traditional in-person interventions [35, 36, 37, 15, 34]. Researchers continue to explore innovative features and strategies to optimize the effectiveness of mHealth tools for weight management, including tailored feedback, adaptive goal setting, and integration with wearable sensors and home-based monitoring devices [38, 39, 40, 11, 41, 42]. Despite progress, challenges remain in achieving widespread adoption and sustained engagement with mHealth interventions for weight control. Issues such as user privacy, data security, and the digital divide need to be addressed to ensure equitable access and participation. Ongoing research is essential to evaluate the long-term effectiveness, scalability, and cost-efficiency of mHealth solutions across diverse populations and settings [43, 44, 45, 46, 47]. Collaboration among technology developers, healthcare providers, policymakers, and public health organizations is crucial to fully harness mHealth's potential for combating obesity and promoting healthy weight management on a global scale [43, 44, 45, 46]. In recent years, mHealth technologies have sparked considerable interest for their potential to revolutionize healthcare delivery, particularly in obesity control. By leveragingthe ubiquity of smartphones and wearable devices, mHealth interventions offer promising avenues for promoting behavior change, enhancing patient engagement, and facilitating personalized care [15, 44, 48]. However, the dynamic landscape of mHealth in obesity control necessitates a comprehensive exploration of current trends and perspectives to inform evidence-based strategies and interventions. This study aims to delve into the evolving role of mHealth in combating obesity, drawing insights from the ChatGPT (Generative Pre-trained Transformer) language model, which has been highlighted as an academic research tool in healthcare [49, 50, 51, 52, 53]. Obesity is a global health challenge, and mHealth technologies have emerged as innovative tools for managing and preventing it. This study explores current trends in mHealth interventions targeting obesity control, identifying key areas where these technologies contribute to improved health outcomes. It provides insights into personalized interventions, emerging technologies, and the role of remote monitoring, offering a focused perspective on how mHealth solutions address the obesity epidemic. By examining key themes such as trends and perspectives in mHealth for obesity control--including the effectiveness of mHealth applications, integration with wearable devices, personalized interventions, and the impact of AI--this study seeks to offer valuable insights for healthcare practitioners, researchers, and policymakers. Challenges such as privacy concerns and disparities in access will also be addressed, alongside opportunities for future research and development in the field. Through a thorough analysis of trends and perspectives, this study aims to advance mHealth interventions for obesity control, striving to promote healthier lifestyles and reduce obesity-related complications globally.