Evidence map›Paper›PMID 40389894›Full record

ArticleBMC geriatrics2025

Long-term risk of late-life depression in widowed elderly: a five-year follow-up study.

Yang Li, Hu Xu, Jiale Wu, Yi Ding, Yunqian Zhu, Yang Wang, Xingbing Chen, Hui Su

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. 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

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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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.

Yang Li *Department of Radiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Hu Xu *Jiangsu University School of Medicine, Zhenjiang, Jiangsu, China.
Jiale WuJiangsu University School of Medicine, Zhenjiang, Jiangsu, China.
Yi DingDepartment of Radiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Yunqian ZhuDepartment of Radiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Yang WangDepartment of Radiology, Gaoyou People's Hospital, No.10, Dongyuan Road, Yangzhou, 225600, Jiangsu, China.
Xingbing ChenDepartment of Radiology, Gaoyou People's Hospital, No.10, Dongyuan Road, Yangzhou, 225600, Jiangsu, China. 1000030076@ujs.edu.cn.
Hui SuDepartment of Radiology, Gaoyou People's Hospital, No.10, Dongyuan Road, Yangzhou, 225600, Jiangsu, China. koala6wjl@163.com.

Funding

Jiangsu Provincial Key Research and Development Program BE2017698, BE2021693National Natural Science Foundation of China 81871343Natural Science Foundation of Jiangsu Province BK20181226, BK20171311
6 · The paper itself

Abstract

backgroundLate-life depression (LLD) poses a significant health risk among the elderly, with widowhood as a prominent contributing factor. However, the mechanisms that render some widowed individuals susceptible to depression while others remain resilient remain poorly understood.

methodsIn this five-year longitudinal study, we followed 203 cognitively healthy, widowed elderly individuals (mean age: 65.2 years, 100 women). The median follow-up time was 4.8 years. Brain structural networks were constructed via diffusion tensor imaging and analyzed using graph theory metrics. Logistic regression and Cox proportional hazards models were employed to assess the predictive role of structural network attributes in depression onset. Moderation models further examined the influence of psychosocial factors on depression risk.

resultsDuring our follow-up, 22 participants developed LLD (mean age: 65.6 years, 12 women). Altered brain structural network properties, alongside key psychosocial factors, were observed in those at risk of developing depression prior to symptom emergence. Logistic and Cox regression models revealed that decreased rich-club connections, reduced nodal efficiency in the left hippocampus (HIP.L), and lower network modularity significantly predicted depression onset. Additionally, these network alterations correlated with greater depression severity at follow-up. Moderation analyses indicated that weekly exercise frequency and time spent with children notably mitigated the effects of network disruptions on depression severity.

conclusionsAmong cognitively healthy widowed elders, diminished rich-club connections, modularity, and HIP.L nodal efficiency are strong predictors of future depression risk. Furthermore, low physical activity and limited family interaction may amplify susceptibility within this high-risk group, suggesting that targeted early interventions could reduce depression risk in this vulnerable population. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

DepressionWidowhoodAgedAged, 80 and overBrainFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleRisk FactorsTime FactorsBrain networkDepression riskLate-life depressionPsychosocial factorsWidowed

Identifiers

PMID40389894
PMCPMC12087034

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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.