NCT03569735

Brief 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. 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. 2.Physical examinations: Anthropometric measurements, blood pressure tests, handgrip strength, and usual gait speed.
  3. 3.Ultrasonography examinations: Ultrasonography examination will be performed to determine carotid artery intima-media thickness and plaque, fatty liver.
  4. 4.Electrocardiogram test: Electrocardiogram test is to obtain information about the structure and function of the heart.
  5. 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. 6.Laboratory tests:
  7. 7.Blood tests: Metabolic syndrome-related indices; nutritional indices; inflammatory markers; sexual hormones; genetic markers.
  8. 8.Urinary tests: Flavonoids and flavones, minerals, creatinine and renal function related markers.
  9. 9.Fecal test: Gut microbiota and related metabolites.
  10. 10.Morbidity and mortality: Relevant data will be also retrieved via local multiple Health information systems.
  11. 11.Others: Many other laboratory tests or instrument tests will be developed depended on needs and resources in future.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
20,000

participants targeted

Target at P75+ for all trials

Timeline
32mo left

Started May 2018

Longer than P75 for all trials

Geographic Reach
1 country

2 active sites

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress75%
May 2018Dec 2028

First Submitted

Initial submission to the registry

May 22, 2018

Completed
4 days until next milestone

Study Start

First participant enrolled

May 26, 2018

Completed
1 month until next milestone

First Posted

Study publicly available on registry

June 26, 2018

Completed
10.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 30, 2028

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 30, 2028

Last Updated

June 26, 2018

Status Verified

June 1, 2018

Enrollment Period

10.6 years

First QC Date

May 22, 2018

Last Update Submit

June 23, 2018

Conditions

Keywords

Prospective Cohort StudyNutritionChronic diseasesNanshanChinese

Outcome Measures

Primary Outcomes (4)

  • Diabetes mellitus

    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)

    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)

    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)

    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 Outcomes (4)

  • Metabolic syndrome

    Up to 10 years

  • Change lipid profile

    Up to 10 years

  • Handgrip strength

    Up to 10 years

  • Usual gait speed

    Up to 10 years

Eligibility Criteria

Age65 Years+
Sexall
Healthy VolunteersYes
Age GroupsOlder Adult (65+)
Sampling MethodNon-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.

You may qualify if:

  • Age: ≥ 65 years;
  • Living in Nanshan, Shenzhen for at least 5 years;
  • Chinese.

You may not qualify if:

  • 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.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control

Shenzhen, Guangdong, 518054, China

RECRUITING

Department of Medical Statistics & Epidemiology, School of Public Health, Sun Yat-sen University

Guangzhou, 510080, China

WITHDRAWN

Biospecimen

Retention: SAMPLES WITH DNA

Overnight fasting blood sample, early morning first-void urine sample and faeces samples will be collected at baseline and follow-up。

MeSH Terms

Conditions

HypertensionDiabetes Mellitus, Type 2Cardiovascular DiseasesStrokeObesityMetabolic SyndromeSarcopeniaRenal Insufficiency, ChronicNeoplasmsDeathChronic Disease

Condition Hierarchy (Ancestors)

Vascular DiseasesDiabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesCerebrovascular DisordersBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesOverweightOvernutritionNutrition DisordersBody WeightSigns and SymptomsPathological Conditions, Signs and SymptomsInsulin ResistanceHyperinsulinismMuscular AtrophyNeuromuscular ManifestationsNeurologic ManifestationsAtrophyPathological Conditions, AnatomicalRenal InsufficiencyKidney DiseasesUrologic DiseasesFemale Urogenital DiseasesFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital DiseasesMale Urogenital DiseasesDisease AttributesPathologic Processes

Study Officials

  • Yuming Chen

    Sun Yat-sen University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

May 22, 2018

First Posted

June 26, 2018

Study Start

May 26, 2018

Primary Completion (Estimated)

December 30, 2028

Study Completion (Estimated)

December 30, 2028

Last Updated

June 26, 2018

Record last verified: 2018-06

Data Sharing

IPD Sharing
Will not share

Locations