Evidence map›Paper›PMID 42414010›Full record

ArticleBMJ open2026

Guangxi Eco-Environmental Health and Aging Study (GEHAS).

Xu Tang, Jiansheng Cai, Shuzhen Liu, Zeyan Ye, Yujian Liang, Jiahui Rong, Meijie Jiang, Yuting Wang, Xiaoting Mo, Sifan Tian and 9 more

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Xu Tang *Guilin Medical University, Guilin, China.ORCID http://orcid.org/0000-0003-1070-9745
Jiansheng Cai *Guilin Medical University, Guilin, China.
Shuzhen Liu *School of Public Health, Peking University, Beijing, China.
Zeyan YeGuilin Medical University, Guilin, China.ORCID http://orcid.org/0000-0001-5177-1778
Yujian LiangGuangxi Medical University, Nanning, China.
Jiahui RongGuangxi Medical University, Nanning, China.
Meijie JiangSchool of Public Health, Peking University, Beijing, China.
Yuting WangSchool of Public Health, Peking University, Beijing, China.
Xiaoting MoGuangxi Medical University, Nanning, China.
Sifan TianSchool of Public Health, Peking University, Beijing, China.
Qiumei LiuGuangxi Medical University, Nanning, China.
Linhai ZhaoGuangxi Medical University, Nanning, China.
Tiantian ZhangGuangxi Medical University, Nanning, China.
Weiyi PangGuilin Medical University, Guilin, China.ORCID http://orcid.org/0000-0001-7768-4701
You LiGuilin Medical University, Guilin, China.
Wei JiangGuilin Medical University, Guilin, China.
Jian QinGuangxi Medical University, Nanning, China.
Xu GaoSchool of Public Health, Peking University, Beijing, China xu.gao@pku.edu.cn rpazz@163.com.ORCID http://orcid.org/0000-0001-6506-6084
Zhiyong ZhangGuilin Medical University, Guilin, China xu.gao@pku.edu.cn rpazz@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Guangxi Eco-Environmental Health and Aging Study (GEHAS) was established to investigate the interplay between eco-environmental exposome, multi-omics profiles, and healthy ageing in a multi-ethnic subtropical population. This prospective cohort was designed to address knowledge gaps regarding how eco-environmental and lifestyle factors influence ageing trajectories.

participantsGEHAS enrolled 5645 participants (59.8% women; mean age 62.51 years) from Guilin, Guangxi, at baseline, with Yao and Han participants accounting for 60.3% and 36.2% of the cohort, respectively. Baseline data (2018-2022) included questionnaires, physical examinations, biological specimens (blood, urine, hair and nails). Two subsequently established longevity and circadian rhythm sub-cohorts (n=276 and n=596) underwent multi-omics profiling (genomics, epigenomics, proteomics, metabolomics and exposomics). Follow-up in this open cohort includes active surveys approximately every 5 years and annual passive surveillance through government health registries. FINDINGS TO DATE: Recent analyses highlight that improvements in air quality can mitigate frailty progression in older adults, with DNA methylation emerging as a promising biomarker that captures the biological imprint of environmental policy interventions and ageing dynamics. In parallel, local specialty foods and traditional dietary practices have been implicated as potential contributors to reducing the risk of ageing-related diseases, as demonstrated by multiple studies using baseline data. For instance, oil tea consumption has shown potential protective effects against dyslipidaemia and type 2 diabetes, while region-specific dietary patterns were associated with favourable health outcomes in middle-aged and older adults. Specifically, a dose-dependent association was observed between diets rich in vegetables and mushrooms and enhanced cognitive performance, and antioxidant-rich dietary patterns were found to attenuate biological ageing through modulation of redox homeostasis. Moreover, GEHAS studies also explored the interactions between genetic factors and heavy metal exposures in age-related diseases, underscoring the complex interplay between genetic susceptibility and environmental influences in the ageing process. FUTURE PLANS: GEHAS will continue active follow-up surveys every 5 years, supplemented by annual passive surveillance for morbidity and mortality through health registries. The first active follow-up was initiated in 2023 and will continue until 2026/2027, with subsequent rounds planned thereafter. In addition, targeted sub-cohorts, including longevity and circadian rhythm groups, will undergo repeated assessments to capture long-term changes in health, exposures and biological ageing.

Indexed as

AgingEnvironmental ExposureEnvironmental HealthHealthy AgingAgedChinaDietExposomeFemaleHumansLife StyleLongevityMaleMiddle AgedMultiomicsProspective StudiesAgedEpidemicsEPIDEMIOLOGY

Identifiers

PMID42414010
PMCPMC13343040

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.