- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03421444
Beijing Children and Adolescents Metabolic Syndrome Study (BCAMS Study) (BCAMS)
January 29, 2018 updated by: Ming Li, Peking Union Medical College Hospital
Base on enriched resources from the Metabolic Syndrome cohort in children, a long-term prospective cohort study will be carried out.
This cohort is a unique biochemical and genetic database of Chinese population with large number of subjects in the world.
By collecting information of disease history and lifestyle, measuring clinical and metabolic parameters, especially biomarkers which can reflect the underlying mechanism of insulin resistance and metabolic syndrome, we intend to sort out some unique biochemical and genetic markers for Chinese population.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
A representative sample of 19,593 school children, aged 6-18 years, were chosen from four of the eight urban districts and three of seven rural districts in the Beijing area between April and October, 2004.
Among these children and adolescents, 4,500 were recognized as having risk factors defined by the presence of any one of the following: overweight, total cholesterol (TC) ≥ 5.2 mmol/L, triglyceride (TG) ≥ 1.7 mmol/L or fasting glucose (FG) ≥ 5.6 mmol/L based on initial finger capillary blood tests.
Moreover, all subjects at increased risk for metabolic syndrome, together with a parallel reference population of 1,095 children, were invited to undergo medical examinations for verification based on venipuncture blood samples.
Clinical data, biomarkers including adipokines, and lifestyle factors such as physical activity and diet were measured and documented.
Genetic variants previously reported from genome-wide association study (GWAS) of obesity and diabetes and DNA-methylation were also assessed.
Further, high-throughput analysis of proteomics and metabolomics of the blood samples were conducted.
Cross-sectional and follow-up evaluations will be undertaken.
The unique biochemical and genetic markers for Chinese population will be identified in the BCAMS study.
The biomarkers will build a solid foundation for progressive study on mechanism of metabolic diseases and lead to early prediction of these diseases.
Study Type
Observational
Enrollment (Actual)
19593
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
6 years to 18 years (Child, Adult)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
Sampling Method
Probability Sample
Study Population
School children, aged 6-18 years, from four of the eight urban districts and three of seven rural districts in the Beijing area
Description
Inclusion Criteria:
- Children aged 6 to 18 years old from Beijing area in China
Exclusion Criteria:
- Children or their parents refused to participate in the study
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Metabolic syndrome
Time Frame: Baseline
|
The presence of pediatric metabolic syndrome (MS) at baseline was defined by the modified criteria of Adult Treatment Panel III (ATP III).
|
Baseline
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Metabolic syndrome
Time Frame: At 10-year follow-up
|
Metabolic syndrome in adolescents and adults after follow-up was defined by the harmonized definition.
|
At 10-year follow-up
|
Obesity
Time Frame: Baseline
|
The participants' height and weight were measured under standardized conditions by trained staff.
Body mass index (BMI) was calculated as weight (kg) divided by height squared (m^2).
Normal weight, overweight and obesity were defined by age- and gender-specific BMI percentiles according to the criteria from the Working Group on Obesity in China.
|
Baseline
|
Obesity
Time Frame: At10-year follow-up
|
The participants' height and weight were measured under standardized conditions by trained staff.
Body mass index (BMI) was calculated as weight (kg) divided by height squared (m^2).
|
At10-year follow-up
|
Insulin resistance
Time Frame: Baseline
|
Insulin resistance index was calculated by homeostasis model assessment of insulin resistance (HOMA-IR), HOMA-IR = fasting insulin (mU/L) × FG (mmol/L) / 22.5.
|
Baseline
|
Insulin resistance
Time Frame: At 10-year follow-up
|
Insulin resistance index was calculated by homeostasis model assessment of insulin resistance (HOMA-IR), HOMA-IR = fasting insulin (mU/L) × FG (mmol/L) / 22.5.
|
At 10-year follow-up
|
Hypertension
Time Frame: Baseline
|
Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured in the right arm three times, 10 minutes apart, and the average of the three measurements was used in the analysis.Hypertension is defined by SBP / DBP ≥ 90th percentile for age, gender for subjects less than 18 years.
|
Baseline
|
Hypertension
Time Frame: At 10-year follow-up
|
Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured in the right arm three times, 10 minutes apart, and the average of the three measurements was used in the analysis.Hypertension is defined by SBP ≥ 130 mmHg or DBP ≥ 85 mmHg for adults.
|
At 10-year follow-up
|
Hyperglycemia
Time Frame: Baseline
|
The concentrations of plasma glucose (mmol/L).
|
Baseline
|
Hyperglycemia
Time Frame: At 10-year follow-up
|
The concentrations of plasma glucose (mmol/L).
|
At 10-year follow-up
|
Triglyceride (TG)
Time Frame: Baseline
|
The concentrations of plasma triglyceride (TG) (mmol/L).
|
Baseline
|
Triglyceride (TG)
Time Frame: At 10-year follow-up
|
The concentrations of plasma triglyceride (TG) (mmol/L).
|
At 10-year follow-up
|
Total cholesterol (TC)
Time Frame: Baseline
|
The concentrations of plasma total cholesterol (TC) (mmol/L).
|
Baseline
|
Total cholesterol (TC)
Time Frame: At 10-year follow-up
|
The concentrations of plasma total cholesterol (TC) (mmol/L).
|
At 10-year follow-up
|
High-density lipoprotein cholesterol(HDL-C)
Time Frame: Baseline
|
The concentrations of plasma high-density lipoprotein cholesterol(HDL-C) (mmol/L).
|
Baseline
|
High-density lipoprotein cholesterol(HDL-C)
Time Frame: At 10-year follow-up
|
The concentrations of plasma high-density lipoprotein cholesterol(HDL-C) (mmol/L).
|
At 10-year follow-up
|
Low-density lipoprotein cholesterol (LDL-C)
Time Frame: Baseline
|
The concentrations of plasma triglyceride low-density lipoprotein cholesterol (LDL-C) (mmol/L).
|
Baseline
|
Low-density lipoprotein cholesterol (LDL-C)
Time Frame: At 10-year follow-up
|
The concentrations of plasma triglyceride low-density lipoprotein cholesterol (LDL-C) (mmol/L).
|
At 10-year follow-up
|
Left ventricular mass
Time Frame: At 10-year follow-up
|
Assessment by a non-invasive transthoracic echocardiogram using a LOGIQ P5 B-mode ultrasonogram equipped (LOGIQ P5, GE Ultrasound, Korea) with a 2.5-3.5 MHz probe.
|
At 10-year follow-up
|
Non Alcoholic Fatty Liver Disease
Time Frame: At 10-year follow-up
|
Nonalcoholic fatty liver disease (NAFLD) was diagnosed by B ultrasonography according to the 2010 Prevention and Treatment Guidelines for NAFLD published by the Society of Hepatology, Chinese Medical Association.
|
At 10-year follow-up
|
Self-concept
Time Frame: At 10-year follow-up
|
The Chinese version of the Self-Description Questionnaire II (SDQ-II) was used to assess self-concept.
|
At 10-year follow-up
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Ming Li, MD, Peking Union Medical College Hospital
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Li L, Yin J, Cheng H, Wang Y, Gao S, Li M, Grant SF, Li C, Mi J, Li M. Identification of Genetic and Environmental Factors Predicting Metabolically Healthy Obesity in Children: Data From the BCAMS Study. J Clin Endocrinol Metab. 2016 Apr;101(4):1816-25. doi: 10.1210/jc.2015-3760. Epub 2016 Feb 25.
- Wang Q, Yin J, Xu L, Cheng H, Zhao X, Xiang H, Lam HS, Mi J, Li M. Prevalence of metabolic syndrome in a cohort of Chinese schoolchildren: comparison of two definitions and assessment of adipokines as components by factor analysis. BMC Public Health. 2013 Mar 21;13:249. doi: 10.1186/1471-2458-13-249.
- Li L, Fu J, Yu XT, Li G, Xu L, Yin J, Cheng H, Hou D, Zhao X, Gao S, Li W, Li C, Grant SFA, Li M, Xiao Y, Mi J, Li M. Sleep Duration and Cardiometabolic Risk Among Chinese School-aged Children: Do Adipokines Play a Mediating Role? Sleep. 2017 May 1;40(5):zsx042. doi: 10.1093/sleep/zsx042.
- Feng D, Zhang J, Fu J, Wu H, Wang Y, Li L, Zhao Y, Li M, Gao S. Association between sleep duration and cardiac structure in youths at risk for metabolic syndrome. Sci Rep. 2016 Dec 14;6:39017. doi: 10.1038/srep39017.
- Li G, Xu L, Zhao Y, Li L, Fu J, Zhang Q, Li N, Xiao X, Li C, Mi J, Gao S, Li M. Leptin-adiponectin imbalance as a marker of metabolic syndrome among Chinese children and adolescents: The BCAMS study. PLoS One. 2017 Oct 11;12(10):e0186222. doi: 10.1371/journal.pone.0186222. eCollection 2017.
- Fu J, Li G, Li L, Yin J, Cheng H, Han L, Zhang Q, Li N, Xiao X, Grant SFA, Li M, Gao S, Mi J, Li M. The role of established East Asian obesity-related loci on pediatric leptin levels highlights a neuronal influence on body weight regulation in Chinese children and adolescents: the BCAMS study. Oncotarget. 2017 Aug 24;8(55):93593-93607. doi: 10.18632/oncotarget.20547. eCollection 2017 Nov 7.
- Fu J, Hou C, Li L, Feng D, Li G, Li M, Li C, Gao S, Li M. Vitamin D modifies the associations between circulating betatrophin and cardiometabolic risk factors among youths at risk for metabolic syndrome. Cardiovasc Diabetol. 2016 Oct 6;15(1):142. doi: 10.1186/s12933-016-0461-y.
- Li G, Yin J, Fu J, Li L, Grant SFA, Li C, Li M, Mi J, Li M, Gao S. FGF21 deficiency is associated with childhood obesity, insulin resistance and hypoadiponectinaemia: The BCAMS Study. Diabetes Metab. 2017 Jun;43(3):253-260. doi: 10.1016/j.diabet.2016.12.003. Epub 2017 Jan 27.
- Wang D, Feng D, Wang Y, Dong P, Wang Y, Zhong L, Li B, Fu J, Xiao X, Speakman JR, Li M, Gao S. Angiopoietin-Like Protein 8/Leptin Crosstalk Influences Cardiac Mass in Youths With Cardiometabolic Risk: The BCAMS Study. Front Endocrinol (Lausanne). 2022 Jan 25;12:788549. doi: 10.3389/fendo.2021.788549. eCollection 2021.
- Wu Y, Zhong L, Li G, Han L, Fu J, Li Y, Li L, Zhang Q, Guo Y, Xiao X, Qi L, Li M, Gao S, Willi SM. Puberty Status Modifies the Effects of Genetic Variants, Lifestyle Factors and Their Interactions on Adiponectin: The BCAMS Study. Front Endocrinol (Lausanne). 2021 Dec 24;12:737459. doi: 10.3389/fendo.2021.737459. eCollection 2021.
- Li Y, Feng D, Esangbedo IC, Zhao Y, Han L, Zhu Y, Fu J, Li G, Wang D, Wang Y, Li M, Gao S, Willi SM. Insulin resistance, beta-cell function, adipokine profiles and cardiometabolic risk factors among Chinese youth with isolated impaired fasting glucose versus impaired glucose tolerance: the BCAMS study. BMJ Open Diabetes Res Care. 2020 Feb;8(1):e000724. doi: 10.1136/bmjdrc-2019-000724.
- Fu J, Wang Y, Li G, Han L, Li Y, Li L, Feng D, Wu Y, Xiao X, Li M, Grant SFA, Li M, Gao S. Childhood sleep duration modifies the polygenic risk for obesity in youth through leptin pathway: the Beijing Child and Adolescent Metabolic Syndrome cohort study. Int J Obes (Lond). 2019 Aug;43(8):1556-1567. doi: 10.1038/s41366-019-0405-1. Epub 2019 Jul 8.
- Wu Y, Yu X, Li Y, Li G, Cheng H, Xiao X, Mi J, Gao S, Willi SM, Li M. Adipose Tissue Mediates Associations of Birth Weight with Glucose Metabolism Disorders in Children. Obesity (Silver Spring). 2019 May;27(5):746-755. doi: 10.1002/oby.22421. Epub 2019 Feb 27.
- Li G, Han L, Wang Y, Zhao Y, Li Y, Fu J, Li M, Gao S, Willi SM. Evaluation of ADA HbA1c criteria in the diagnosis of pre-diabetes and diabetes in a population of Chinese adolescents and young adults at high risk for diabetes: a cross-sectional study. BMJ Open. 2018 Aug 8;8(8):e020665. doi: 10.1136/bmjopen-2017-020665.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
April 1, 2004
Primary Completion (Actual)
October 1, 2004
Study Completion (Actual)
October 1, 2004
Study Registration Dates
First Submitted
January 9, 2018
First Submitted That Met QC Criteria
January 29, 2018
First Posted (Actual)
February 5, 2018
Study Record Updates
Last Update Posted (Actual)
February 5, 2018
Last Update Submitted That Met QC Criteria
January 29, 2018
Last Verified
January 1, 2018
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- BCAMS
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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