About this trial
This observational study aims to develop novel contemporary risk factor tools for detecting young onset diabetes (under 40y) in young Asians in Singapore. The investigators aim to recruit 3000 people not currently known to have diabetes, selected across age and Body Mass Index categories, and perform formal diagnostic tests for diabetes (oral glucose tolerance test and HbA1c). The participants will also undergo continuous glucose monitoring sensor, keep a food diary, and undergo body composition analysis using bioimpedance analysis, handgrip measurements for muscle strength, and sociobehavioural profiling through download of a curated list of social media interactions. The participants will also have a blood sample retrieved and stored for subsequent comparison between people with normal glucose versus abnormal glucose levels. The whole group will also have another blood sample stored for whole gene analysis.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Asian/Part Asian ethnicity living in Singapore, not known to have diabetes
Disqualifiers
Pregnancy women
Non-Asian ethnicity
On active cancer/steroid therapy
Haemoglobinopathies or haemolytic anaemia
Trial population
Islandwide across Singapore
Trial design
Cohort
Prospective
Treatments tested in this trial
Oral glucose tolerance test and HbA1c
Diagnostic testFollowing overnight fasting for 8 hours
Anthropometric measurements
Other interventionBody Mass Index, Waist-Hip ratio, Blood pressure
Body impedance Analysis
Diagnostic testBody composition analysis
Handgrip measurement
Diagnostic testHandgrip strength measured using Jamar Dynanometer
Continuous glucose monitoring
Diagnostic testUse of Retrospective continuous glucose monitoring sensor (Freestyle Libre Pro IQ)
Food diary recording over days 2 and 3 of continuous glucose monitoring
Other interventionIncluding written food records and photographs for all food and drink intake
Survey
Other interventionRetrieval of sociodemographic details, family history of diabetes and comorbid conditions, information on dietary intake, physical activity levels, and health seeking behaviour. This includes average daily step count for 7/30 days.
Skin reaction information
Other interventionForm to feedback on any sensor skin reactions
Download of social media data
Other interventionThis will involve a highly curated list of information to be retrieved from Facebook, Instagram and TikTok to enable AI-led sociobehavioural profiling. This will not retrieve any information on posts, photos, likes, comments, reactions or any item that will express intent.
Whole genome sequencing
Diagnostic testWhole blood sample will be retrieved and stored before being sent for whole genome sequencing at a later stage.
Treatment groups
Trial outcomes
Primary outcomes
Diagnosis of diabetes
Fasting glucose \>/=7mmol/l or 2-hour glucose \>/=11.1 mmol/l on oral glucose tolerance test or HbA1c \>/=7%.
Secondary outcomes
Diagnosis of pre-diabetes
Fasting glucose \>/=5.7mmol/l or 2-hour glucose \>/=7,8 mmol/l on oral glucose tolerance test or HbA1c \>/= 5.7%.
Locations
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Singapore General Hospital
Lead sponsor
SingHealth Duke-NUS Academic Medical Centre
Collaborator
Duke-NUS Centre of Quantitative Medicine
Collaborator
Data Science and Artificial intelligence Laboratory, SGH
Collaborator
Translational Research and Innovation Lab, SingHealth
Collaborator
This trial is not recruiting at the moment. You can still explore other options: