Projects

The LDL-C sub-study investigates the efficacy of personalized health messaging in improving cholesterol management. By utilizing personality-tailored information grounded in behavioral science, this research explores how individualized communication can enhance the self-regulation of heart health. We invite current participants to join this optional investigation into the intersection of personality and cardiometabolic wellness.

Lighter-Mets is a longitudinal research study designed to evaluate a structured lifestyle intervention for individuals with metabolic syndrome. Cardiovascular and metabolic health are often influenced by interconnected lifestyle habits; this programme aims to address these factors through evidence-based dietary and behavioural support. Over the course of one year, we aim to investigate how a combination of professional health coaching and digital health tools can support sustainable improvements in metabolic markers. Participants provide vital data through clinical assessments and, depending on their randomized study group, may gain access to personalized coaching and our dedicated research platform.

The preMELOW study explores the multifaceted experiences of perimenopause and post-menopause among women in Singapore. The transition into menopause is a significant biological and psychological phase, yet the factors that influence the severity and duration of symptoms remain insufficiently understood in the local context. Through this research, we seek to identify specific environmental, biological, and lifestyle factors that may trigger or alleviate menopausal symptoms. By documenting these lived experiences, our goal is to develop better clinical and community-based support systems for women navigating this life transition.

This research investigates the intricate relationships between body image, weight stigma, and the development of professional identity among healthcare students and practitioners. By documenting these perspectives, the study aims to inform the design of targeted interventions to mitigate weight stigma within clinical environments and enhance the long-term well-being of the healthcare workforce.

PRISM-I is a pilot study investigating the effectiveness of a personalized, stepped-care approach to managing insulin resistance. As metabolic health is highly individualized, a “one-size-fits-all” approach often fails to address the underlying complexities of metabolic syndrome. Our research integrates digital health interventions with wearable technology, including continuous glucose monitors and smart rings, to gather precise, real-time data. By analyzing these metabolic responses, we aim to develop a data-driven path toward sustainable metabolic management and improved health outcomes.

The MELOW (Midlife Empowerment and Longevity through Optimizing Wellness) study is a 12-month longitudinal research initiative evaluating a personalized wellness programme for midlife women with abdominal obesity. This study investigates the impact of integrated digital and biological monitoring on visceral adipose tissue, the management of menopausal symptoms, and the reduction of overall cardiometabolic risk. By utilizing longitudinal physiological assessments and advanced wearable technology, the research aims to establish evidence-based strategies for enhancing healthy longevity and metabolic resilience during the menopausal transition.

The Cardiometabolic Foresight study is an upcoming research initiative dedicated to the early identification and prevention of cardiometabolic risks. Utilizing advanced longitudinal data and predictive modeling, we aim to identify the subtle physiological signals that precede clinical metabolic conditions. Our research integrates diverse health markers to establish a holistic, predictive view of individual health, facilitating the development of more effective and personalized preventive strategies in Singapore.

The eTRIP study (Improving Weight Loss in Healthy Adults) utilized an artificial intelligence-assisted dietary prediction and prevention system combined with continuous glucose monitoring to help individuals with overweight and obesity manage their weight more effectively through personalized metabolic insights.

The Social Comparison study examines the psychological mechanisms underlying dietary behaviors, specifically focusing on how social comparison directions influence daily caloric consumption. By investigating how individuals respond to perceived variations in others’ eating habits, this research aims to identify behavioral triggers that impact nutritional choices and self-regulation.