BACKGROUND
Metabolic Syndrome (MetS) is a growing concern among the adult population in India, particularly among the urban poor. The challenge of this group is a combination of risk factors including an urbanized lifestyle, poor access to healthcare, and financial limitations, leading to high levels of obesity, diabetes, and hypertension.
OBJECTIVE
The current study aims to address this challenge by designing, developing, and piloting a tailored, mobile-enabled interactive digital health intervention to enhance self-management of MetS among individuals living in urban slums of New Delhi, India.
METHODS
The study employs mixed methods, including both quantitative and qualitative data collection to design and evaluate the effectiveness of the intervention that is built on a multifactorial model in improving the self-management of MetS. Data will be collected at baseline and 12 months from the urban slums of Delhi.
RESULTS
The findings will be disseminated to both national and international audiences through peer-reviewed publications. The results will contribute to our understanding of the interplay of risk factors in MetS and the impact of tailored digital health interventions in addressing this challenge.
CONCLUSIONS
The study is expected to provide valuable insights into the role of digital health interventions in enhancing self-management of MetS among the urban poor population.
CLINICALTRIAL