Centre for Healthy Longevity at Alexandra Hospital
Singapore, 159964
NCT Number: NCT06555978
The Ageing BIOmarker Study in Singaporeans (ABIOS) aims to understand the biological aging processes and how they affect health among people in Singapore. As people grow older, their risk of developing chronic diseases increases. This study aims to better understand the biological changes that come with age, particularly in three major ethnic groups: Chinese, Malay, and Indian adults over 21 years old. By examining a range of health indicators such as DNA methylation, inflammation, metabolism, cardiovascular health, physical function, and physical activity (i.e., molecular, physiological, and digital biomarkers of ageing), the study seeks to identify how ethnicity, lifestyle, and socioeconomic factors influence ageing. This unique study focuses on an all-Asian population, aiming to enhance our understanding of healthy aging across different ethnic groups.
This study is active but is not currently recruiting participants.
21 year and older
All sexes
Observational
Singapore, 159964
Biological ageing is the primary driver of age-associated chronic diseases in older adults. Asian populations have been underrepresented in studies developing biological age predictors and understanding age-related diseases. Thus, the Ageing BIOmarker Study in Singaporeans (ABIOS) aims to characterise the biomarkers of ageing in Singaporeans, exploring associations between molecular, physiological, and digital biomarkers of ageing.
This is a single-centre, cross-sectional study that recruits healthy community-dwelling adults (≥ 21 years) from three different ethnic groups (Chinese, Malay, and Indian). Molecular biomarkers of ageing include a multi-omics approach, such as DNA methylation and metabolic and inflammatory parameters in blood, saliva, and stool. Physiological biomarkers of ageing include bone density, body composition, skin autofluorescence, arterial stiffness, physical performance (e.g., muscle strength and flexibility), cognition, and nutritional status. Digital biomarkers of ageing include three-dimensional facial morphology and objective physical activity. Additional factors such as habitual physical activity, dietary patterns, and medical history are also examined. The associations between the molecular, physiological, and digital phenotypes will be explored.
By examining diverse age-related biomarkers, clinical indicators, and lifestyle factors, ABIOS will offer unique insights into the ageing process within these ethnic groups to develop health policies and interventions for promoting healthy ageing in an all-Asian population.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: Baseline
DNA methylation ageing clock, years
Time frame: Baseline
Arterial stiffness measured by pulse wave velocity, m/s
Time frame: Baseline
Handgrip strength measured by dynamometer, kg
Time frame: Baseline
Lower body strength measured by maximum weight for 8 leg extension repetitions, kg
Time frame: Baseline
Skin advanced glycation endproducts measured by autofluorescence
Time frame: Baseline
Objective physical activity measured by an activity tracking monitor
Time frame: Baseline
Facial ageing clock based on 3D face morphometry, years
Time frame: Baseline
Clinical blood parameters, RBC x 10^12/L
Time frame: Baseline
Clinical blood parameters, WBC x 10^9/L
Time frame: Baseline
Lipid profile panel, mmol/L
Time frame: Baseline
Lipid profile panel, mmol/L
Time frame: Baseline
Lipid profile panel, mmol/L
Time frame: Baseline
Lipid profile panel, mmol/L
Time frame: Baseline
Clinical blood parameters, mmol/L
Time frame: Baseline
Liver profile panel, mmol/L
Time frame: Baseline
Liver profile panel, umol/L
Time frame: Baseline
Clinical blood parameters, U/L
Time frame: Baseline
Clinical blood parameters, Roche immunoassay, mU/L
Time frame: Baseline
Clinical blood parameters, %
Time frame: Baseline
Central and brachial blood pressure measurements, mmHg
Time frame: Baseline
Waist-to-hip circumference ratio
Time frame: Baseline
Bone mineral density measured by DEXA scan, g/cm^2
Time frame: Baseline
Fat-free mass measured by DEXA scan, kg
Time frame: Baseline
Fat mass measured by DEXA scan, kg
Time frame: Baseline
Number of arm curl repetitions at a certain weight in 30 seconds
Time frame: Baseline
Backscratch test to assess upper body flexibility, distance between fingers in cm
Time frame: Baseline
Number of chair sit-to-stand repetitions in 30 seconds
Time frame: Baseline
Time it takes for the participant to walk 4 metres, seconds
Time frame: Baseline
Habitual physical activity patterns reflected by the Global Physical Activity Questionnaire
Time frame: Baseline
Cognitive function test assessed by the Montreal Cognitive Assessment (MoCA), ranging from 0 to 30
Time frame: Baseline
Frailty assessed by the FRAIL scale (fatigue, resistance, aerobic capacity, illnesses, and loss of weight), with three categories: robust (score=0), prefrail (score=1-2), and frail (score=3-5)
Time frame: Baseline
Risk of malnutrition assessed by the Mini Nutritional Assessment (MNA), with three categories: malnourished (0-7 points), at risk of malnutrition (8-11 points), normal nutritional status (12-14 points)
Time frame: Baseline
DNA methylation ageing clock, years
National University of Singapore
Other
Ageing BIOmarker Study in Singaporeans (ABIOS)
Acronym: ABIOS
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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