Clinical Trial Details
— Status: Active, not recruiting
Administrative data
| NCT number |
NCT03179657 |
| Other study ID # |
2007032 |
| Secondary ID |
|
| Status |
Active, not recruiting |
| Phase |
|
| First received |
|
| Last updated |
|
| Start date |
July 1, 2008 |
| Est. completion date |
December 2027 |
Study information
| Verified date |
December 2022 |
| Source |
Sun Yat-sen University |
| Contact |
n/a |
| Is FDA regulated |
No |
| Health authority |
|
| Study type |
Observational
|
Clinical Trial Summary
Purpose: The Guangzhou Nutrition and Health Study (GNHS) project aims to assess the
determinants of metabolic disease in nutritional aspects, as well as other environmental and
genetic factors, and explore possible mechanisms with multi-omics integration.
Study design: GNHS is a community-based prospective cohort study. Participants: In this
cohort, the original GNHS and another cohort study (the controls of a case-control study of
hip fractures, CCFH) have been integrated into the one GNHS project. After completing the
baseline examination, a total of 5118 participants were recruited during 2008-2015 in the
GNHS project.
Visits and Data Collection: Participants were/will be visited every three years by invited to
the School of Public Health, Sun Yat-sen University. At each visit, face-to-face interviews,
specimen collection, anthropometric measurements, dual-energy x-ray absorptiometry (DXA)
scanning, ultrasonography evaluation, vascular endothelial function evaluation,
cardiopulmonary exercise testing, magnetic resonance imaging (MRI), 14-d real-time continuous
glucose monitoring tests, laboratory tests, and multi-omics data were/will be conducted. Up
to December 2022, 3442 and 2895 subjects completed the 2nd and 3rd visits.
Key variables:
1. Questionnaire interviews.
2. Physical examinations: Anthropometric measurements, blood pressure tests, handgrip
strength, muscle function and bracelet motion monitoring.
3. DXA scanning: To determine bone density, bone mineral content, bone geometry
information, fat mass, and muscle mass.
4. Ultrasonography evaluations: To determine carotid artery intima-media thickness and
plaque, and fatty liver.
5. Vascular endothelial function evaluation.
6. Cardiopulmonary exercise testing: Lung function.
7. MRI: Brain and upper-abdomen MRI.
8. 14-d Real-time continuous glucose monitoring tests.
9. Specimen collections: Overnight fasting blood, early morning first-void urine, faces,
and saliva samples.
10. Laboratory tests: Metabolic syndrome-related indices; Diabetes-related indices; Uric
acid; Nutritional indices; Inflammatory cytokines; Index of oxidative stress;
Adipocytes; Sexual hormones; Liver and renal function-related markers; Routine blood
test.
11. Multi-omics data: Genotyping data; Gut microbiota; Untargeted serum and fecal
proteomics; Targeted serum and fecal metabolomics.
12. Morbidity and mortality: Relevant data were/will be also retrieved via local multiple
health information systems.
Description:
Purpose: The Guangzhou Nutrition and Health Study (GNHS) aims to assess the determinants of
risk of metabolic diseases and changes in their relevant indices (e.g., osteoporosis,
atherosclerosis, type 2 diabetes, hypertension, metabolic syndrome, non-alcoholic fatty liver
disease, cardiovascular diseases, chronic kidney disease, body composition, lung function,
cognition function, etc.) in nutritional aspects, as well as other environmental and genetic
factors.
Study design: GNHS is a community-based prospective cohort study. Participants: In this
cohort, the original GNHS and another cohort study (the controls of a case-control study of
hip fractures, CCFH) have been integrated into the one GNHS project. About 4048 apparently
healthy residents (aged 40-80 years) in the original GNHS were recruited between 2008 and
2013, and 1070 participants in the CCFH baseline (52-83 years old) were recruited from 2009
to 2015, all living in Guangzhou city (South China) for >5 years. After completing the
baseline examination, a total of 5118 participants were recruited during 2008-2015 in the
GNHS project.
Visits and Data Collection: Participants were/will be visited every three years by invited to
the School of Public Health, Sun Yat-sen University. At each visit, face-to-face interviews,
specimen collection, anthropometric measurements, DXA scanning, ultrasonography evaluation,
vascular endothelial function evaluation, cardiopulmonary exercise testing, MRI, 14-d
real-time continuous glucose monitoring tests, laboratory tests, and multi-omics data
were/will be conducted. Up to December 2022, 3442 and 2895 subjects completed the 2nd and 3rd
visits. The 4th visit began in 2017 and has been ongoing, and 2243 participants have been
revisited so far. About 1500 participants responded in 2020-now at the 5th visit. It is
planned to follow up the participant in person for at least 15 years.
Key variables:
1. Questionnaire interviews: Structured questionnaires were/will be used to collect the
participants' socio-demographic characteristics (e.g., age, sex and household income),
lifestyle factors (smoking, passive smoking, alcohol drinking, tea drinking, physical
activity), menstruation and reproductive history (women only), sleep quality (Pittsburgh
Sleep Quality Index, PSQI), family history, psychological health (Self-Rating Anxiety
Scale, SAS), Simplified Geriatric Depression Scale (GDS), social support and
participation, cognitive function (Mini-Mental State Examinations (MMSE), and
Addenbrooke's cognitive examination (ACE)), habitual dietary intake (a validated 79-item
quantitative food frequency questionnaire), use of supplements and history of chronic
diseases.
2. Physical examinations: Anthropometric measurements (weight, height, waist, hip and neck
circumference, etc.), blood pressure tests, handgrip strength, muscle function and
bracelet motion monitoring.
3. DXA scanning: A dual-energy x-ray absorptiometry (DXA, Discovery W; Hologic Inc.)
was/will be used to determine bone density and bone mineral content at the whole body,
lumbar spine (L1-L4), left hip sites, bone geometry information at the hip, fat mass and
muscle mass at total body and its sub-regions.
4. Ultrasonography evaluations: Ultrasonography evaluation of the carotid artery and upper
abdominal organs (e.g., liver and kidney) was/will be performed to determine carotid
artery intima-media thickness and plaque, fatty liver.
5. Vascular endothelial function evaluation: Blood flow-mediated vasodilation.
6. Cardiopulmonary exercise testing: Lung function.
7. MRI: Magnetic resonance imaging in the brain was/will be used to study brain tissue's
microstructure and investigate brain function. Upper-abdomen MRI was/will be conducted
to assess the structure and contents of fat and iron of the liver, fat and muscle mass,
and vertebral bone marrow fat, and help to identify renal angiomyolipoma and malignant
renal tumours.
8. 14-d Real-time continuous glucose monitoring tests: A 14-d continuous glucose monitoring
was used to determine glycemic responses to various usual daily foods (by a 7-d
image-based food diary) using 3-type standard breakfast as internal calibrators.
9. Specimen collections: Overnight fasting blood sample was/will be collected and separated
into serum, plasma, erythrocyte and leukocyte within two hours. Early morning first-void
urine, faces, and saliva samples were/will be collected, separated and stored at -80°C
till tests.
10. Laboratory tests:
1. Fasting serum lipid profile.
2. Diabetes-related indices; fasting glucose, insulin, HbA1c, and fructosamine.
3. Uric acid.
4. Nutritional indices: fatty acids, vitamins, minerals, alkaloids, carotenoids,
flavonoids, sulfur-containing amino acids and so on.
5. Inflammatory cytokines.
6. Index of oxidative stress.
7. Adipocytes.
8. Sexual hormones.
9. Liver and renal function-related markers.
10. Routine blood test.
11. Multi-omics data:
1. Genotyping data (Illumina Asian Screening-750000 arrays).
2. Gut microbiota: 16S ribosomal RNA, metagenome, and internal transcribed spacer 2
(ITS2) sequencing.
3. Untargeted serum and fecal proteomics: about 430 unique human protein groups in
serum, 1253 human protein and 83683 microbial proteins in feces.
4. Targeted serum and fecal metabolomics: amino acids, benzenoid, bile acids,
carbohydrates, carnitines, fatty acids, indoles, nucleosides, organic acids,
organooxygen compounds, phenylpropanoic acids, pyridines and so on. Approximately
200 metabolites have been quantified so far.
12. Morbidity and mortality: Relevant data were/will be also retrieved via local multiple
health information systems.
13. Others: Many other laboratory tests or instrument tests will be developed depending on
needs and resources in future.
Data analysis: Analyses of variance and covariance, or mixed effects model were/will be used
to compare the mean differences in continuous outcomes (e.g., changes of bone mineral
density, body fat mass, or intima-media thickness) among the quartiles. Cox proportional
hazards or logistic regression models were/will be used to assess the risk of exposures
(e.g., nutrition intakes and physical activity) on categorical outcomes. Path analysis
was/will be used to assess the potential mediating effects in the causal pathway between
exposures and outcomes.
