Evidence map›Paper›PMID 37813622›Full record

ArticleJournal of epidemiology2024

Cohort Profile: Guangzhou Nutrition and Health Study (GNHS): A Population-based Multi-omics Study.

Chu-Wen Ling, Haili Zhong, Fang-Fang Zeng, Gengdong Chen, Yuanqing Fu, Cheng Wang, Zhe-Qing Zhang, Wen-Ting Cao, Ting-Yu Sun, Ding Ding and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
6.7field-weighted citation impact, top 2% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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

16 authors at 10 institutions in 1 country.

Chu-Wen LingDepartment of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University.ORCID 0000-0002-2644-0587
Haili ZhongDepartment of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University.
Fang-Fang ZengDepartment of Epidemiology, School of Medicine, Jinan University.
Gengdong ChenDepartment of Obstetrics, Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan.
Yuanqing FuKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University.
Cheng WangDepartment of Clinical Nutrition, Sun Yat-sen Memorial Hospital.
Zhe-Qing ZhangDepartment of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University.
Wen-Ting CaoInternational School of Public Health and One Health, Hainan Medical University.
Ting-Yu SunDepartment of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University.
Ding DingGlobal Health Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences.
Yan-Hua LiuDepartment of Nutrition, the First Affiliated Hospital of Zhengzhou University.
Hong-Li DongScientific Education Section and Department of Child Healthcare, Affiliated Maternity & Child Health Care Hospital of Nantong University.
Li-Peng JingDepartment of Epidemiology, School of Public Health, Lanzhou University.
Wenhua LingDepartment of Nutrition, School of Public Health, Sun Yat-sen University.
Ju-Sheng ZhengKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University.
Yu-Ming ChenDepartment of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University.
Sun Yat-sen University · CNWestlake University · CNFirst Affiliated Hospital of Zhengzhou University · CNFoshan Maternity and Child Health Care Hospital · CNGuangdong Academy of Medical Sciences · CNHainan Medical University · CNLanzhou University · CNNantong University · CNSouthern Medical University · CNUniversity of Jinan · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Guangzhou Nutrition and Health Study (GNHS) aims to assess the determinants of metabolic disease in nutritional aspects, as well as other environmental and genetic factors, and explore possible biomarkers and mechanisms with multi-omics integration.

methodsThe population-based sample of adults in Guangzhou, China (baseline: 40-83 years old; n = 5,118) was followed up about every 3 years. All are tracked via on-site follow-up and health information systems. We assessed detailed information on lifestyle factors, physical activities, dietary assessments, psychological health, cognitive function, body measurements, and muscle function. Instrument tests included dual-energy X-ray absorptiometry scanning, carotid artery and liver ultrasonography evaluations, vascular endothelial function evaluation, upper-abdomen and brain magnetic resonance imaging, and 14-day real-time continuous glucose monitoring tests. We also measured multi-omics, including host genome-wide genotyping, serum metabolome and proteome, gut microbiome (16S rRNA sequencing, metagenome, and internal transcribed spacer 2 sequencing), and fecal metabolome and proteome.

resultsThe baseline surveys were conducted from 2008 to 2015. Now, we have completed 3 waves. The 3rd and 4th follow-ups have started but have yet to end. A total of 5,118 participants aged 40-83 took part in the study. The median age at baseline was approximately 59.0 years and the proportion of female participants was about 69.4%. Among all the participants, 3,628 (71%) completed at least one on-site follow-up, with a median duration of 9.48 years.

conclusionThe cohort will provide data that will be influential in establishing the role of nutrition in metabolic diseases with multi-omics.

Indexed as

Nutritional StatusAdultAgedAged, 80 and overBiomarkersChinaCohort StudiesFemaleGastrointestinal MicrobiomeHumansMaleMetabolic DiseasesMiddle AgedMultiomicsBiomarkerscohort studymetabolic healthmulti-omicsnutritionpopulation-based

Identifiers

PMID37813622
PMCPMC11078596
OpenAlexW4387415621

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.