Population
Indonesian adults living with obesity
OptimApp investigates how a theory-informed mobile intervention can support weight management among Indonesian adults living with obesity.
Lunch Log
450 kcal recorded
"Increase protein intake this afternoon to support muscle recovery and satiety targets."
OptimApp brings together nutrition science, behavioural support and mobile technology. Its intervention, DietducateX, turns evidence-informed strategies into practical routines that can be used and studied in everyday life.
Study at a glance
Indonesian adults living with obesity
Pilot feasibility study
66 participants
Ongoing · recruiting
The intervention
A mobile companion for structured nutrition and behaviour-change support—designed as the intervention platform for OptimApp.
DietducateX
Food, hydration and activity logging
Weight, waist and progress tracking
Goals, reminders and healthy-habit planning
Gamification and peer community
Nutrition education and daily tips
Ask Nutritionist support
The team
OptimApp connects nutritional epidemiology, data science, public health nutrition and field research across the United Kingdom and Indonesia.
PhD student · University of Leeds
A public health nutrition researcher working at the intersection of nutrition and digital health. His research focuses on mHealth for weight management, building on experience developing nutrition platforms including Dietducate, AhliGiziID and Nilaigizi.com.
Co-supervisor · University of Leeds
Professor of Data Science for Food and lead of the interdisciplinary Nutrition and Lifestyle Analytics team. Her work uses emerging data and data-science methods to understand diet, lifestyle, population health and planetary health.
Co-supervisor · University of Leeds
A nutritional epidemiologist and leader of the Nutritional Epidemiology Group at Leeds. Her research advances dietary assessment, including myfood24, and investigates relationships between diet and chronic disease.
Open research
Peer-reviewed publications are forthcoming. The study protocol, prospective registration and ethics approvals are available now.
Project materials and protocol documentation hosted on OSF.
View recordISRCTN45333971 · A study on a weight loss app for Indonesian adults living with obesity.
View recordIndependent approval in both partner institutions, with governance spanning the UK and Indonesia.
Approved · 22/12/2025Independent approval in both partner institutions, with governance spanning the UK and Indonesia.
Approved · 17/06/2025Findings will be shared through academic publications, conference outputs and the doctoral thesis as the study progresses.
Collaboration & support
OptimApp is a PhD research collaboration between the University of Leeds and Politeknik Negeri Jember. The doctoral research is funded by the Indonesia Endowment Fund for Education (LPDP).
Politeknik Negeri Jember
LPDP
Contact
For academic collaboration, funding enquiries or questions about the OptimApp study, contact the research team.
Email the research team fsmi@leeds.ac.ukKey information about the platform and how it supports structured nutrition programs.