Diabetes In Asians at Risk in Youth

Summary

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.

Conditions

• Young Onset Asian Diabetes (Under 40 Years)

Interventions

DIAGNOSTIC_TEST

Oral glucose tolerance test and HbA1c

Following overnight fasting for 8 hours

OTHER

Anthropometric measurements

Body Mass Index, Waist-Hip ratio, Blood pressure

DIAGNOSTIC_TEST

Body impedance Analysis

Body composition analysis

DIAGNOSTIC_TEST

Handgrip measurement

Handgrip strength measured using Jamar Dynanometer

DIAGNOSTIC_TEST

Continuous glucose monitoring

Use of Retrospective continuous glucose monitoring sensor (Freestyle Libre Pro IQ)

OTHER

Food diary recording over days 2 and 3 of continuous glucose monitoring

Including written food records and photographs for all food and drink intake

OTHER

Survey

Retrieval 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.

OTHER

Skin reaction information

Form to feedback on any sensor skin reactions

OTHER

Download of social media data

This 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.

DIAGNOSTIC_TEST

Whole genome sequencing

Whole blood sample will be retrieved and stored before being sent for whole genome sequencing at a later stage.

Sponsors & Collaborators

• SingHealth Duke-NUS Academic Medical Centre

  collaborator UNKNOWN

• Duke-NUS Centre of Quantitative Medicine

  collaborator UNKNOWN

• Data Science and Artificial intelligence Laboratory, SGH

  collaborator UNKNOWN

• Translational Research and Innovation Lab, SingHealth

  collaborator UNKNOWN

• Singapore General Hospital

  lead OTHER

Principal Investigators

• Daphne SL Gardner, BA, BMBCh(Oxon), MRCP (UK) · Singapore Health

Eligibility

Min Age

21 Years

Max Age

39 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2026-03-18

Primary Completion

2029-01-02

Completion

2029-01-02