Cardiovascular Diseases, Healthy Aging, Metabolic Disease
Conditions
Keywords
Nutrition, Health, Healthy lifespan
Brief summary
This project aims to explore the relationship between healthy lifespan and nutrition through a 10-year longitudinal study in Zhejiang Province. The cohort will include individuals in a wide range of age groups. The demographic, diet, lifestyle information, health status, and corresponding bio-samples will be collected carefully. It will give a deeper insight to the relation between nutrition and healthy aging and longevity. Ultimately, this research will contribute to evidence-based nutrition interventions to improve health outcomes and enhance quality of life.
Detailed description
This project aims to elucidate the relationship between healthy lifespan and nutrition through the establishment of a large-scale cohort of participants and longitudinal follow-ups spanning around 10 years in Zhejiang Province. The cohort will comprise individuals in a wide range of age groups starting at 6 years old. The participants will provide demographic information, anthropometry measurements, detailed diet, lifestyle data and health status, including 3-day dietary records and long-term food intake frequency recalls. Integrated with previous information, diverse bio-samples will also be collected to establish a multi-dimensional biobank. It will give a deeper insight to the relation between nutrition and healthy aging and longevity. Ultimately, this research will contribute to the development of evidence-based nutrition designed to improve health outcomes and enhance the quality of life for individuals of all ages.
Interventions
None listed
Sponsors
Zhejiang Provincial Center for Disease Control and Prevention
Westlake University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
6 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Chinese citizens who have resided in the surveyed area for at least 6 months before the survey within the last 12 months. * Aged 6 years or older. * They are included as resident households, which are comprised of people living together in one place based on family relationships, and at least one resident with permanent household registration.
Exclusion criteria
* Residents living in functional zones such as construction worker dormitories, military barracks, schools, nursing homes, etc.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Occurrence of cardio-metabolic diseases | up to 10 years | The investigators will track for occurrence of cardio-metabolic diseases by follow-up surveys collected by the Zhejiang Center for Disease Control and Prevention. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Changes in fasting blood HbA1c | Every other year， up to 10 years | Fasting blood HbA1c will be examined in % |
| Changes in fasting lipid metabolism | Every other year， up to 10 years | Triglyceride, cholesterol, high density lipoprotein cholesterol and low density lipoprotein cholesterol will be examined in mmol/L. |
| Changes in fasting blood highly sensitive C-reactive protein (CRP) | Every other year， up to 10 years | CRP will be examined in mg/L. |
| Changes in fasting blood glucose | Every other year， up to 10 years | Fasting glucose will be examined in mmol/L. |
| Changes in blood pressure | Every other year， up to 10 years | Blood pressure, including systolic and diastolic blood pressure, will be measured in mmHg |
| Changes in gut microbiome profiling | Every other year， up to 10 years | 16S rRNA and/or shotgun metagenomic sequencing will be performed in stool samples. |
| Changes in body mass index | Every other year， up to 10 years | Body mass index (BMI) will be calculated in kg/m\^2 |
Countries
China
Outcome results
None listed