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Body Composition and Risk for Development of Pre-diabetes in Post-menopausal Chinese Women in Singapore

Body Composition and Risk for Development of Pre-diabetes in Post-menopausal Chinese Women in Singapore

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03503552
Enrollment
97
Registered
2018-04-20
Start date
2015-02-13
Completion date
2016-02-29
Last updated
2018-04-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Metabolic Syndrome, Osteoporosis

Brief summary

This project aims to ascertain that novel imaging and metabolic markers can be used to identify as well as to validate and improve the detection of Singapore-Chinese women at increased risk of diabetes.

Detailed description

Disproportionate non-communicable disease risk present in some ethnicities has been demonstrated and is amplified by increased weight gain. Relative to Malay and Caucasian populations, the prevalence of obesity increased sharply in people of Chinese and Indian ethnicity and diabetes risk is prevalent at a BMI of 21 (equivalent to a BMI \>25 in Caucasian populations). It was also speculated that Chinese Singaporean women are prone to metabolic syndrome at a lower BMI. This study will recruit two groups of postmenopausal women with different BMI's and to measure markers for metabolic syndrome. These participants will visit Clinical Nutrition Research Centre for a single session and will undergo a whole body scan and a regional scan of the lumbar spine and femoral neck with a bone densitometer and fasting baseline blood and urine samples collected. Dual Energy X-ray Absorptiometry (DEXA) scan will provide percentage fat mass, fat in gram, whole body bone mineral content and total body lean mass. From these, gynoid and android fat distribution will be derived and appendicular lean mass will be calculated and an index calculated using kg/m2 to give an indication of relative muscle mass. In addition blood and urine samples will be collected for metabolic risk analysis. Participants will be also be undergoing a Quantitative Computed Tomography (QCT) scan which will allow true volumetric measurements of the lumbar spine and proximal femur independent of the body size. Volumetric density values will be measured in Hounsfield units transformed into Bone Mineral Density measurements using a calibration phantom underneath the patient. Magnetic Resonance Imaging of the 3rd lumbar vertebra and the right hip will also be performed.

Interventions

None listed

Sponsors

University of Auckland, New Zealand
CollaboratorOTHER
Massey University
CollaboratorOTHER
Institute of Materials Research and Engineering (IMRE)
CollaboratorUNKNOWN
JeyaKumar Henry
Lead SponsorOTHER_GOV

Study design

Observational model
OTHER
Time perspective
OTHER

Eligibility

Sex/Gender
FEMALE
Age
55 Years to 70 Years
Healthy volunteers
Yes

Inclusion criteria

* Healthy Chinese women * Aged 55 to 70 years * Be 5 years past menopause * Have not been diagnosed with type 1 diabetes

Exclusion criteria

* Have been diagnosed with Hyper or Hypo-thyroidism, Parathyroid disease, Diabetes Mellitus, Cushing's syndrome. * Have Cancers * Have Systemic Lupus Erythematosus and Rheumatoid Arthritis * Respiratory Disease * Had Operations such as Gastrectomy and Intestinal resection * Have Liver Disease such as Liver cirrhosis * On prescribed medication known to affect the study outcomes.

Design outcomes

Primary

MeasureTime frameDescription
Body composition1 hourMeasured using Air Displacement Plethysmograph (BOD POD)
Bone mineral densityHalf an hourMeasured using Dual Energy X-Ray Absorptiometry (DEXA)

Secondary

MeasureTime frameDescription
Blood biomarkersHalf an hourMeasure of fasting blood glucose
Urine MarkersHalf an hourMeasure urinary C-telopeptide of type II collagen

Countries

Singapore

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026