Actively Recruiting
Improving LDL-C Levels Through Temporal Self-regulation Theory-based, Personality-tailored Health Messages
Led by National University Health System, Singapore · Updated on 2026-04-13
3000
Participants Needed
1
Research Sites
153 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The study is meant to run parallel to the larger study, RESET. The goal of this study is to to evaluate the effectiveness of a once-off general and personality-tailored text message on GP consultation among RESET participants identified to have high LDL-C. The main question it aims to answer is: Will participants exposed to personality tailored advice have a higher adherence to GP consultation compared to the participants in the control group? Researchers will compare a personalized message to a general message (with no personalization according to patients personality type) and control group to see if the messages increase adherence. Participants are required to complete two questionnaires: one before and one after they receive their RESET results.
CONDITIONS
Official Title
Improving LDL-C Levels Through Temporal Self-regulation Theory-based, Personality-tailored Health Messages
Who Can Participate
Eligibility Criteria
You may qualify if you...
- New participants of RESET who have given consent to be contacted for future studies
- 21 years old or older
You will not qualify if you...
- Unable to read, write, or communicate in English
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
National University of Singapore
Singapore, Singapore, 117599
Actively Recruiting
Research Team
J
Jocelyn Chew
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
PREVENTION
Number of Arms
3
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here