Nanshan Elderly Cohort Study (NECS)

June 23, 2018 updated by: Yu-ming Chen, Sun Yat-sen University

Nanshan Elderly Cohort Study:a Community-based Prospective Cohort Study in Nanshan, Shenzhen Residents

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 -80°C till tests.
  6. Laboratory tests:

    1. Blood tests: Metabolic syndrome-related indices; nutritional indices; inflammatory markers; sexual hormones; genetic markers.
    2. Urinary tests: Flavonoids and flavones, minerals, creatinine and renal function related markers.
    3. Fecal test: Gut microbiota and related metabolites.
  7. Morbidity and mortality: Relevant data will be also retrieved via local multiple Health information systems.
  8. Others: Many other laboratory tests or instrument tests will be developed depended on needs and resources in future.

Study Overview

Detailed 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 -80°C till tests.
  6. Laboratory tests:

    1. 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;
    2. Nutritional indices: Serum concentrations of carotenoids, erythrocyte fatty acids, serum minerals, folate, betaine, choline, TMAO, and vitamin D, etc.
    3. Inflammatory markers (e.g., hsCRP, RBP4,IL-6, TNF-a)
    4. Sexual hormones (e.g., testosterone, SHBG)
    5. Genetic markers
    6. Urinary tests: Flavonoids and flavones, minerals, creatinine and renal function related markers.
    7. Fecal test: Gut microbiota and related metabolites.
  7. Morbidity and mortality: Relevant data will be also retrieved via local multiple Health information systems.
  8. 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.

Study Type

Observational

Enrollment (Anticipated)

20000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Guangzhou, China, 510080
        • Withdrawn
        • Department of Medical Statistics & Epidemiology, School of Public Health, Sun Yat-sen University
    • Guangdong
      • Shenzhen, Guangdong, China, 518054
        • Recruiting
        • Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control
        • Contact:

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

65 years and older (OLDER_ADULT)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

The participants who meet the inclusion and exclusion criteria will be recruited from all communities of Nanshan, Shenzhen by face-to-face communication.

Description

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.

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
Diabetes mellitus
Time Frame: Up to 10 years
The investigators will also track for occurrence of diabetes mellitus by follow-up surveys and annual record linkage to the population-based disease or death registry collected by the Shenzhen Center for Disease Control and Prevention and Health Insurance Bureau. All cases will be verified by medical record reviews.
Up to 10 years
Cardiovascular diseases (occurrence of cardiovascular diseases)
Time Frame: Up to 10 years
The investigators will track for occurrence of cardiovascular diseases by follow-up surveys and annual record linkage to the population-based disease or death registry collected by the Shenzhen Center for Disease Control and Prevention, and Health Insurance Bureau. All cases will be verified by medical record reviews.
Up to 10 years
Stroke (occurrence of stroke)
Time Frame: Up to 10 years
The investigators will track for occurrence of stroke by follow-up surveys and annual record linkage to the population-based disease or death registry collected by the Shenzhen Center for Disease Control and Prevention, and Health Insurance Bureau. All cases will be verified by medical record reviews.
Up to 10 years
Cognitive disorder (occurrence of cognitive disorder)
Time Frame: Up to 10 years
The investigators will track for occurrence of cognitive disorder by follow-up surveys and annual record linkage to the population-based disease or death registry collected by the Shenzhen Center for Disease Control and Prevention, and Health Insurance Bureau. All cases will be verified by medical record reviews.
Up to 10 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Metabolic syndrome
Time Frame: Up to 10 years
The investigators will measure metabolic syndrome-related indices at each visit (per every 3 years), the investigators can analysis the incidence of metabolic syndrome.
Up to 10 years
Change lipid profile
Time Frame: Up to 10 years
The investigators will measure fasting lipid profile (e.g., cholesterol, triglycerides, high-density lipoprotein cholesterol and low-density lipoprotein cholesterol) at each visit, and analyse the change of these indices.
Up to 10 years
Handgrip strength
Time Frame: Up to 10 years
The investigators will measure the handgrip strength, which will be used to diagnose sarcopenia according to definition recommended by Asian Working Group for Sarcopenia (AWGS): cutoff values for handgrip strength (<26 kg for men and <18 kg for women).
Up to 10 years
Usual gait speed
Time Frame: Up to 10 years
The investigators will measure the usual gait speed., which will also be used to diagnose sarcopenia according to definition recommended by Asian Working Group for Sarcopenia (AWGS): cutoff values for usual gait speed (<0.8 m/s).
Up to 10 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

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)

May 26, 2018

Primary Completion (ANTICIPATED)

December 30, 2028

Study Completion (ANTICIPATED)

December 30, 2028

Study Registration Dates

First Submitted

May 22, 2018

First Submitted That Met QC Criteria

June 23, 2018

First Posted (ACTUAL)

June 26, 2018

Study Record Updates

Last Update Posted (ACTUAL)

June 26, 2018

Last Update Submitted That Met QC Criteria

June 23, 2018

Last Verified

June 1, 2018

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

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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