Metabolic diseases, such as cardiovascular disease and diabetes, are leading causes of global mortality and disability [1]. A growing body of research highlights the potential of wearable devices and smartphones to monitor modifiable risk factors (physiological and lifestyle, such as nutrition, sleep, stress and physical activity) [2] and to support precision medicine and precision nutrition by tailoring interventions based on individual data [3]. This thesis offers an opportunity to systematically explore how these digital tools contribute to the prevention and management of metabolic diseases.

Project Overview

This research aims to conduct a comprehensive scoping review of the literature to assess how wearables and smartphones are used to monitor modifiable risk factors in metabolic diseases [4]. The thesis will focus on understanding how these technologies measure lifestyle factors, such as nutrition and physical activity, and their role in advancing precision medicine and nutrition. The goal is to identify potential gaps in the measurement of modifiable risk factors in current digital metabolic health research. The results are expected to inform more standardized guidelines for wearable and smartphone-based measurements, as well as to identify potential applications that contribute to precision medicine.

Key Responsibilities

• Develop a clear approach, research question, and hypothesis to guide the process.
• Co-conduct a comprehensive literature search using five major databases (Scopus, Web of Science, PubMed, Cochrane, and SPORTDiscus) with predefined search terms related to wearables, smartphones, modifiable risk factors (including lifestyle and physiological factors)
• Screen and extract data from eligible studies, ensuring a systematic and organized approach to data collection.
• Perform a systematic literature review following PRISMA-ScR guidelines.
• Analyze and synthesize findings qualitatively and quantitatively to identify trends, gaps, and opportunities in the use of wearable devices and smartphones for personalized interventions in metabolic diseases.
• Collaborate closely with your thesis supervisor to ensure the research aligns with the highest academic standards and contributes meaningfully to the field of digital health.

We offer 

• Flexible working opportunity
• Topic refinement to your desired topic of interest (i.e. physical activity or nutrition) and your future goals
• Insights into interdisciplinary research experience at the Centre for Digital Health Interventions
• If your work excels, we will support your efforts to publish in leading journals

Requirements

We are seeking self-driven and motivated students with a background in public health, food science, health science, nutrition science, epidemiology, medicine, digital health, or a related field. A strong interest in digital health, lifestyle, precision medicine, and precision nutrition are of interest to this project.