National University of Singapore
Singapore, 117546
Location status: Recruiting
NCT Number: NCT06775132
This cross-sectional study aims to investigate the associations between dietary intake, cardiometabolic health markers, and gut microbiota composition in Singapore adults.
Interested in participating?
Request Info21 year–80 year
All sexes
Observational
Singapore, 117546
Location status: Recruiting
Diet plays a crucial role in maintaining overall health, and changes in dietary patterns are increasingly recognized as major contributors to chronic disease development. Inadequate dietary intake and poor diet quality have been linked to increased risks of cardiometabolic diseases and disruptions in gut microbiota composition. However, most studies investigating these associations have been conducted on Western populations, and there is a lack of research focusing on Asian populations. Given the genetic, metabolic, and dietary differences between Western and Asian populations, examining these associations in an Asian population is essential for a deeper understanding of population-specific risk factors and health outcomes. Therefore, there is an urgent need to assess the associations between dietary intake, cardiometabolic health, and gut microbiota composition in Asian population.
This cross-sectional study aims to investigate the associations between dietary intake, cardiometabolic health markers, and gut microbiota composition in Singapore adults.
Findings from this study will offer valuable insights into the relationship between diet, cardiometabolic health, and the gut microbiota in this population. In addition, this research may identify specific dietary patterns or nutrients that offer greater benefit for cardiometabolic and gut health. In turn, these findings can contribute to the improvement of current dietary guidelines aimed at promoting better cardiometabolic and gut microbiota outcomes for the broader Singaporean population.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: Day 7
Use a 3-day food record to document dietary intake
Time frame: Day 1
Systolic and diastolic blood pressure (in mmHg) will be measured by a blood pressure monitor.
Time frame: Day 1
Total cholesterol, LDL, HDL, and triglyceride concentration in the blood will be measured
Time frame: Day 1
Glucose concentration in the blood will be measured
Time frame: Day 1
Endothelial functions are determined by the percentage of endothelial progenitor cells (CD34+/KDR+) expression in peripheral blood mononuclear cells
Time frame: Day 1
SCFA concentration in the blood will be measured
Time frame: Day 1
Trimethylamine N-oxide (TMAO) concentration in the blood will be measured
Time frame: Day 1
Bile acids concentration will be determined from fecal samples of the subjects
Time frame: Day 1
Zonulin concentration will be determined from fecal samples of the subjects
Time frame: Day 1
Calprotectin concentration will be determined from fecal samples of the subjects
Time frame: Day 1
The estimated Glomerular Filtration Rate (eGFR) of the subjects will be measured from the blood
Time frame: Day 1
Pittsburgh Sleep Quality Index Questionnaire (PSQI) will be used to assess the sleep quality. Overall score ranging from 0 to 21 points, where lower scores denote a healthier sleep quality.
Time frame: Day 1
Use Montreal Cognitive Assessment (MoCA) questionnaires to assess cognitive function. A score of 26 or above (out of 30) is generally considered normal, though adjustments may be made for educational level.
Time frame: Day 1
Skin carotenoid concentration: This can be measured by Resonance Raman Spectroscopy, the unit is skin carotenoid score, a higher score means optimal, lower score means poor condition of skin carotenoids.
Time frame: Day 1
Macular Pigment Optical Density (MPOD): A measurement of macular pigment of the eye using a heterochromatic flicker photometry device. The measurements are in arbitrary units.
Time frame: Day 1
The Global Physical Activity Questionnaire (GPAQ) will be used to assess physical activity levels in three areas: work, transport, and leisure. It measures activity in terms of frequency, duration, and intensity, generating a score in metabolic equivalents (METs). Higher MET values indicate higher levels of physical activity.
Time frame: Day 1
The Perceived Stress Scale (PSS-10) will be used to assess the level of perceived stress over the past month. The scale consists of 10 items scored on a 5-point Likert scale (0 = never to 4 = very often), with a total score ranging from 0 to 40. Higher scores indicate greater perceived stress.
Time frame: Day 1
The Beck Anxiety Inventory (BAI) will be used to measure the severity of anxiety symptoms. It consists of 21 questions scored on a 4-point Likert scale (0 = not at all to 3 = severely). The total score ranges from 0 to 63, with higher scores reflecting more severe anxiety symptoms.
Time frame: Day 1
The Beck Depression Inventory-II (BDI-II) will be used to assess the severity of depressive symptoms over the past two weeks. It contains 21 questions scored on a 4-point scale (0 = no symptoms to 3 = severe symptoms). Total scores range from 0 to 63, with higher scores indicating more severe depression.
Time frame: Day 1
Participants will read out letters on a ETDRS LogMAR chart at a fixed distance where letters becomes smaller as it goes down the chart. Tests results will be recorded in number of letters read, where the more letters the better the outcome.
Time frame: Day 1
A questionnaire to for participants to self-evaluate their perception of their current eye health based on general vision, ocular pain, near activities, distance activities, vision specific functions, driving, color vision and peripheral vision. The best possible score is 100 and worst possible score is 0.
Time frame: Day 1
Skin advanced glycation end products (AGE) levels: Measurement of skin advanced glycation end products level using a skin autofluorescence device, where participants wlll be instructed to place their forearm over the device and a light will be shone and a reading can be captured by detecting fluorescence. The results will be presented as arbitrary units.
Time frame: Day 1
Height, weight, and waist circumference will be measured for each subject
Contact information is provided by the study sponsor or research team.
National University of Singapore
Other
Associations Between Dietary Intake and Cardiometabolic and Gut Microbiota Outcomes in Singapore Adults
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.
Published trials that share one or more normalized conditions with this study.
NCT07678736
Behavior, Cardiometabolic Risk Factors
Ghent, East Flanders, Belgium
View Trial DetailsNCT06953232
Body Weight, Cardiometabolic Risk Factors
Loughborough, Leicestershire, United Kingdom
View Trial DetailsNCT07322237
Ascites, Cardiometabolic Risk Factors
Chandigarh, India
View Trial DetailsNCT05353322
Behavior, Blood Pressure
New York, United States
View Trial Details