Evidence map›Paper›PMID 41163186›Full record

ArticleBMC medicine2025

The mediating role of biological age in the impact of mood instability symptoms on neurodegenerative disease and mortality.

Junru Wang, Jiahui Zhang, Kai Liu, Jing Wang, Yali Wang, Xiaojun Ma, Zhuoyuan Li, Shulan He, Xiaojuan Liu, Ping Chen and 1 more

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Junru WangDepartment of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Hui Autonomous Region, Yinchuan, Ningxia, 750004, China.
Jiahui ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Hui Autonomous Region, Yinchuan, Ningxia, 750004, China.
Kai LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Hui Autonomous Region, Yinchuan, Ningxia, 750004, China.
Jing WangDepartment of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Hui Autonomous Region, Yinchuan, Ningxia, 750004, China.
Yali WangDepartment of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Hui Autonomous Region, Yinchuan, Ningxia, 750004, China.
Xiaojun MaDepartment of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Hui Autonomous Region, Yinchuan, Ningxia, 750004, China.
Zhuoyuan LiDepartment of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Hui Autonomous Region, Yinchuan, Ningxia, 750004, China.
Shulan HeDepartment of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Hui Autonomous Region, Yinchuan, Ningxia, 750004, China. heshulan0954@163.com.
Xiaojuan LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Hui Autonomous Region, Yinchuan, Ningxia, 750004, China. 15809689312@163.com.
Ping ChenMedical Experiment Center, General Hospital of Ningxia Medical University, Hui Autonomous Region, Yinchuan, Ningxia, 750004, China. chenping991232@163.com.
Jiangping LiDepartment of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Hui Autonomous Region, Yinchuan, Ningxia, 750004, China. lijp@nxmu.edu.cn.

Funding

Natural Science Foundation of Ningxia Province 2022AAC03174
6 · The paper itself

Abstract

backgroundAccumulating evidence links mood instability to an increased risk of adverse outcomes, yet its relationship with neurodegenerative diseases remains underexplored. This study examines the associations between mood instability symptoms and the risk of neurodegenerative diseases, exploring the mediating role of biological aging.

methodsThe participants in the UK Biobank without a diagnosed neurological condition at baseline were included. Mood instability symptoms were assessed at two time points: baseline (2006-2010, T1) and the third visit (2014 + , T2), using 13 items of mental symptoms (e.g., "mood goes up and down," "miserable for no reason"). Biological aging was generated by two previously described measures of biological age based on 14 routinely measured clinical biomarkers (PhenoAge, Klemera-Doubal method age). Latent class analysis (LCA) was employed to classify individuals into different psychological clusters. Cox proportional hazard models and mediation analyses were used to examine the associations between mood instability symptoms, biological aging, and adverse health outcomes. The latent transition analysis (LTA) identified latent classes of transition, and multifactor logistic regression was used to examine the sex difference in the probability of transitioning between these latent classes.

resultsOf 185,818 included participants, 51.86% were female. During a median follow-up of 14.6 years, we identified three clusters with distinct mood patterns. Compared to individuals with a pattern of "stable," individuals with severe mood instability symptoms at baseline was significantly associated with an increased risk of all-cause dementia (hazard ratio [HR] = 1.17, 95% CI: 1.02-1.35), Parkinson's disease (HR = 1.47, 95% CI: 1.21-1.77), and all-cause mortality (HR = 1.07, 95% CI: 1.01-1.14). Accelerated biological aging was also linked to a higher risk of both dementia and Parkinson's disease. Mediation analyses revealed that biological aging partially mediated the association between severe mood instability symptoms and neurodegenerative diseases, as well as mortality (ranging from 0.78% to 13.6%). Notably, females had a higher risk of transitioning to more severe groups over time.

conclusionsThese findings underscore the critical need to focus on severe mood instability symptoms in early intervention strategies to reduce neurodegenerative disease risk, particularly by focusing on emotional well-being in females.

Indexed as

AffectAgingMood DisordersNeurodegenerative DiseasesAgedAged, 80 and overFemaleHumansMaleMiddle AgedUnited KingdomLatent class analysisLatent transition analysisMood instability symptomsNeurodegenerative diseases

Identifiers

PMID41163186
PMCPMC12574108

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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.