Evidence map›Paper›PMID 41485131›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Individual and neighborhood socioeconomic inequality and the risk of dementia: A 14-year follow-up study.

Xingqi Cao, Shengyi Li, Xueqing Jia, Jingyun Zhang, Guanqun Chao, Weili Liu, Liying Chen, Zuyun Liu

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Considerations in Alzheimer's Disease in Women.Current neurology and neuroscience reports · 2026
    Review
  2. Individual and neighborhood socioeconomic inequality and the risk of dementia: A 14-year follow-up study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    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

8 authors.

Xingqi CaoDepartment of General Practice, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-4726-7170
Shengyi LiDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Xueqing JiaSecond Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jingyun ZhangSecond Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Guanqun ChaoDepartment of General Practice, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Weili LiuDepartment of General Practice, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Liying ChenDepartment of General Practice, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Zuyun LiuSecond Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Funding

Fundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of China 72374180Zhejiang Key Laboratory of Intelligent Preventive Medicine 2020E10004Zhejiang University School of Public Health Interdisciplinary Research Innovation Team Development Project
6 · The paper itself

Abstract

introductionSocioeconomic inequality is a non-negligible risk factor for dementia. However, complex associations of individual socioeconomic status (ISES) and neighborhood socioeconomic status (NSES) with dementia risk have not been determined.

methodsIn 327,641 adults aged 40-69 years from the UK Biobank, we estimated the separate, interactive, and joint associations of ISES and NSES with the risk of dementia and explored the role of inflammatory markers and metabolites.

resultsLow ISES and low NSES were associated with higher risks of all-cause dementia and its subtypes. A stronger association between ISES and dementia was observed in those with low NSES. The subpopulation with disadvantages in both ISES and NSES showed the highest risk of dementia. Inflammatory markers (e.g., lymphocyte percentage) and metabolites (e.g., valine) mediated the associations of socioeconomic status (SES) profiles with all-cause dementia. DISCUSSION: These findings underscore the importance of eliminating socioeconomic inequality at both individual and neighborhood levels for preventing dementia. HIGHLIGHTS: Disadvantages in both individual socioeconomic status (ISES) and neighborhood socioeconomic status (NSES) are associated with higher risks of dementia. There are significant interactions between ISES and NSES on dementia risk. The low SES subpopulation with disadvantages in both ISES and NSES has the highest risk of dementia. Inflammatory markers and metabolites partially mediate the associations of socioeconomic status (SES) profiles with all-cause dementia. Narrowing socioeconomic inequality at both the individual and neighborhood levels may help prevent dementia.

Indexed as

DementiaNeighborhood CharacteristicsResidence CharacteristicsSocial ClassSocioeconomic FactorsAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedRisk FactorsUnited Kingdomcognitive functiondementiaindividual socioeconomic statusneighborhood socioeconomic statuswhite matter hyperintensity

Identifiers

PMID41485131
PMCPMC12765403

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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.