Evidence map›Paper›PMID 39407224›Full record

ArticleAlzheimer's research & therapy2024

Association of psychosocial state with subsequent risk of dementia: a prospective cohort study based on the UK Biobank.

Hongxi Wang, Junren Wang, Yu Zeng, Huazhen Yang, Wenwen Chen, Qing Shen, Huan Song

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Stress, stress systems, and Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

7 authors.

Hongxi Wang *Department of Nuclear Medicine and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Guo Xue Lane 37, 610041, Chengdu, China.
Junren Wang *Med-X Center for Informatics, Sichuan University, Guo Xue Lane 37, 610041, Chengdu, China.
Yu ZengMed-X Center for Informatics, Sichuan University, Guo Xue Lane 37, 610041, Chengdu, China.
Huazhen YangMed-X Center for Informatics, Sichuan University, Guo Xue Lane 37, 610041, Chengdu, China.
Wenwen ChenMed-X Center for Informatics, Sichuan University, Guo Xue Lane 37, 610041, Chengdu, China.
Qing ShenClinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Putuo district Shanghai, 200092, Shanghai, China. qingshen@tongji.edu.cn.
Huan SongMed-X Center for Informatics, Sichuan University, Guo Xue Lane 37, 610041, Chengdu, China. songhuan@wchscu.cn.

Funding

the 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University ZYYC21005the National Natural Science Foundation of China 82402390
6 · The paper itself

Abstract

backgroundMultiple psychosocial factors have been associated with dementia, while the individual or joint effects of various psychosocial states on dementia remain unrevealed due to the complex interplay between those factors. Here, the authors examined the associations of psychosocial factors and patterns with subsequent risk of dementia, and if the associations could be modified by genetic susceptibility to dementia.

methodsUK Biobank dementia-free participants were followed from one year after recruitment (median date: 24 January, 2010) until 31 October, 2022. Psychosocial states were measured by 22 items related to five dimensions, including psychiatric history, recent stressful life events, current psychiatric symptoms, social contact, and individual socioeconomic state. We identified clusters of individuals with distinct psychosocial patterns using latent class analysis. Cox proportional hazards models were used to evaluate the association between psychosocial items, as well as psychosocial patterns, and risk of dementia. We further performed stratification analyses by apolipoprotein E (APOE) genotype, polygenic risk score (PRS) of dementia, and family history of dementia.

resultsOf 497,787 included participants, 54.54% were female. During a median follow-up of 12.70 years, we identified 9,858 (1.98%) patients with newly diagnosed dementia. We identified seven clusters with distinct psychosocial patterns. Compared to individuals with a pattern of 'good state', individuals with other unfavorable patterns, featured by varying degrees of poor psychological state ('fair state' and 'mildly, moderately, and extremely poor psychological state'), low social contact or socioeconomic state ('living alone' and 'short education years'), were all at an increased risk of dementia (hazard ratios [HR] between 1.29 and 2.63). The observed associations showed no significant differences across individuals with varying APOE genotypes, levels of PRS, and family histories of dementia.

conclusionUnfavorable psychosocial patterns are associated with an increased risk of dementia, independent of genetic susceptibility. The findings highlight the importance of surveillance and prevention of cognitive decline among individuals with suboptimal psychosocial state.

Indexed as

Biological Specimen BanksDementiaAgedApolipoproteins ECohort StudiesFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedProspective StudiesRisk FactorsUK BiobankUnited KingdomApolipoproteins EAlzheimer’s diseaseDementiaGenetic susceptibilityPsychosocial state

Identifiers

PMID39407224
PMCPMC11476089

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.