Nanshan Elderly Cohort Study (NECS)

  • STATUS
    Recruiting
  • End date
    Dec 30, 2028
  • participants needed
    20000
  • sponsor
    Sun Yat-sen University
Updated on 4 March 2022
electrocardiogram
renal function
metabolic syndrome
chronic disease
fasting
microbiota
kidney function tests
fatty liver
metabolic disorders
renal function test
renal function study
genetic markers
Accepts healthy volunteers

Summary

Objective: The Nanshan Elderly Cohort Study (NECS) aims to investigate the nutritional, as well as other environmental and genetic factors of chronic diseases, such as cardio-metabolic diseases.

Study design: NECS is a community-based prospective cohort study. Participants: About 10000-20000 apparently healthy residents, living in Nanshan Shenzhen (South China) for >5 years, aged 65 years, will be recruited between 2018 and 2019.

Visits and Data Collection: Participants will be followed up approximately every 3 years by invited to the Community Healthcare Service Centre. At each survey, face-to-face interviews, anthropometric measurements, ultrasonography examination, electrocardiogram test and specimen collection will be conducted.

Key variables:

  1. Face-to-face interviews: Structured questionnaires will be used to collect the participants' socio-demographic characteristics, lifestyles, habitual dietary intake, physical activity, history of chronic diseases, use of supplements and medications, family history, psychological health and cognitive function.
  2. Physical examinations: Anthropometric measurements, blood pressure tests, handgrip strength, and usual gait speed.
  3. Ultrasonography examinations: Ultrasonography examination will be performed to determine carotid artery intima-media thickness and plaque, fatty liver.
  4. Electrocardiogram test: Electrocardiogram test is to obtain information about the structure and function of the heart.
  5. Specimen collections: Overnight fasting blood sample, early morning first-void urine sample and faeces samples will be collected and stored at -80C till tests.
  6. Laboratory tests:
  7. Blood tests: Metabolic syndrome-related indices; nutritional indices; inflammatory markers; sexual hormones; genetic markers.
  8. Urinary tests: Flavonoids and flavones, minerals, creatinine and renal function related markers.
  9. Fecal test: Gut microbiota and related metabolites.
  10. Morbidity and mortality: Relevant data will be also retrieved via local multiple Health information systems.
  11. Others: Many other laboratory tests or instrument tests will be developed depended on needs and resources in future.

Description

Objective: The Nanshan Elderly Cohort Study (NECS) aims to investigate the nutritional, as well as other environmental and genetic factors of chronic diseases, such as hypertension, type 2 diabetes mellitus, cardiovascular diseases, stroke, obesity, metabolic syndrome, chronic kidney disease, cancer and sarcopenia.

Study design: NECS is a community-based prospective cohort study. Participants: Healthy residents who had lived in Nanshan Shenzhen (South China) for >5 years, aged 65 years are eligible. Participants would be excluded if they are confirmed to have serious chronic diseases, such as cardiovascular disease, liver or renal failure, or cancer. About 10000-20000 apparently healthy residents will be recruited between 2018 and 2019.

Visits and Data Collection: Participants will be followed up approximately every 3 years by invited to the Community Healthcare Service Centre. At each survey, face-to-face interviews, anthropometric measurements, ultrasonography examinations, electrocardiogram test and specimen collection will be conducted.

Key variables:

  1. Face-to-face interviews: Structured questionnaires will be used to collect the participants' socio-demographic characteristics (e.g., age, sex and household income, education level), lifestyles (smoking, passive smoking, alcohol and tea drinking), habitual dietary intake (a 62-item quantitative food frequency questionnaire), physical activity, history of chronic diseases, use of supplements and medications, family history, psychological health (Self-Rating Anxiety Scale, SAS), social support and participation, cognitive function (Mini-Mental State Examinations, MMSE);
  2. Physical examinations: Anthropometric measurements (weight, height, waist, hip and neck circumference, etc.), blood pressure tests, handgrip strength, and usual gait speed.
  3. Ultrasonography examinations: Ultrasonography examination of the carotid artery and upper abdominal organs (e.g., liver and kidney) will be performed to determine carotid artery intima-media thickness and plaque, fatty liver.
  4. Electrocardiogram test: Electrocardiogram test is to obtain information about the structure and function of the heart.
  5. Specimen collections: Overnight fasting blood sample will be collected and separated into serum, plasma, red blood cell and leukocyte within two hours. Early morning first-void urine sample and faeces samples will be collected. All specimens will separated and stored at -80C till tests.
  6. Laboratory tests:
  7. Metabolic syndrome-related indices: Fasting serum lipid profile (e.g., cholesterol, triglycerides, high-density lipoprotein cholesterol and low-density lipoprotein cholesterol), diabetes-related indices (e.g., glucose, glycated hemoglobin, fructosamine and insulin), uric acid and creatinine;
  8. Nutritional indices: Serum concentrations of carotenoids, erythrocyte fatty acids, serum minerals, folate, betaine, choline, TMAO, and vitamin D, etc.
  9. Inflammatory markers (e.g., hsCRP, RBP4IL-6, TNF-a)
  10. Sexual hormones (e.g., testosterone, SHBG)
  11. Genetic markers
  12. Urinary tests: Flavonoids and flavones, minerals, creatinine and renal function related markers.
  13. Fecal test: Gut microbiota and related metabolites.
  14. Morbidity and mortality: Relevant data will be also retrieved via local multiple Health information systems.
  15. Others: Many other laboratory tests or instrument tests will be developed depended on needs and resources in future.

Statistical analysis: Cox proportional hazards models or logistic regression models will be used to estimate the risk of exposures on categorical outcomes. Path analysis also will be used to assess the potential mediating effects in the causal pathway between exposures and outcomes.

Details
Condition Hypertension, Type 2 Diabetes Mellitus, Cardiovascular Diseases, Stroke, Obesity, Metabolic Syndrome, Sarcopenia, Chronic Kidney Disease, Cancer, Death
Clinical Study IdentifierNCT03569735
SponsorSun Yat-sen University
Last Modified on4 March 2022

Eligibility

Yes No Not Sure

Inclusion Criteria

Age: 65 years
Living in Nanshan, Shenzhen for at least 5 years
Chinese

Exclusion Criteria

Had a history of hospital-confirmed diabetes, failure(s) of heart, liver, or kidney, cancer, CVD events
On special diet due to a disease or weight control
Mental and physical disability
Likely to move to other city within 5 years
Did not want to attend any one item of the survey or sample collection
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