Evidence map›Paper›PMID 40549279›Full record

ArticleEuropean journal of epidemiology2025

Cohort profile: the Guangzhou older longitudinal dynamic health (GOLD-Health) cohort.

Hui Liu, Xiaojie Wang, Weiquan Lin, Ge Chen, Jiamin Chen, Zilong Zhang, Qin Zhou, Yin Yang, Xiangyi Liu, Junguo Zhang and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Association between PMBMC cardiovascular disorders · 2026
    Article
  2. Ambient PMEnvironment & health (Washington, D.C.) · 2026
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Hui Liu *Department of Basic Public Health, Center for Disease Control and Prevention of Guangzhou (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Xiaojie Wang *Research Team of Prevention and Treatment of Cerebral Hemorrhage Applying Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
Weiquan LinDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Ge ChenDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Jiamin ChenDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Zilong ZhangDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Qin ZhouDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Yin YangDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Xiangyi LiuDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Junguo ZhangDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Yingying FangDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Liying LuoDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Hualiang LinDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China. linhualiang@mail.sysu.edu.cn.
Zhoubin ZhangDepartment of Basic Public Health, Center for Disease Control and Prevention of Guangzhou (Guangzhou Health Supervision Institute), Guangzhou, 510440, China. zhang_zhoubin@163.com.

Funding

National Natural Science Foundation of China 72104061National Science and Technology Major Project of China 2024ZD0524500The Key Project of Medicine Discipline of Guangzhou No.2025-2027-12
6 · The paper itself

Abstract

The Guangzhou Older Longitudinal Dynamic Health (GOLD-Health) Cohort is a prospective population-based cohort study aimed at investigating the risk factors associated with non-communicable diseases (NCDs) among adult individuals in Guangzhou, one of China's most developed and densely populated cities. From 1 Jan 2018 until 31 Dec 2020, 737,863 participants (mean age = 71.8 years, 58.9% were female) completed baseline data collection, among which approximately 92.1% donated blood samples. Baseline data collection comprises various factors, including general characteristics, socio-economic factors, lifestyle habits, cooking fuel usage and living standards, and medical history of chronic diseases. Additionally, physical and biochemical indicator examinations are conducted by trained medical staff. Two complementary follow-up approaches are utilized to validate and enrich the outcome information on mortality and non-communicable disease outcomes, ensuring its reliability and comprehensiveness. First, routine linkage with the Guangzhou Municipal Health Commission's electronic records provides continuous monitoring of mortality events and participants' inpatient and outpatient hospital visits. Second, periodic follow-up is conducted through telephone interviews and regular face-to-face surveys to collect detailed information on health status, lifestyle changes, newly diagnosed conditions, and self-reported events not captured in hospital records. This combined approach ensures both the completeness and accuracy of the cohort data. This cohort may serve as a decision-making tool for chronic disease management and contributes to the evaluation of scientific findings under real-world conditions.

Indexed as

Noncommunicable DiseasesAgedAged, 80 and overChinaChronic DiseaseFemaleHealth StatusHumansLife StyleLongitudinal StudiesMaleMiddle AgedProspective StudiesRisk FactorsSocioeconomic FactorsChinaCohort profileNon-communicable diseasesReal-world data

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.