Evidence map›Paper›PMID 41441211›Full record

ArticleNeurology international2025

The Influence of Hobby Engagement on Cognitive Function Among Older Adults: A Population-Based Cohort Study Using Statistical Analysis and Machine Learning Predictions.

Yaxin Han, Shuo Li, Li Zesheng, Renzhi Tian, Chengchang Pan, Honggang Qi

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Article in Neurology international, 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

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

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3 · Its place in the literature

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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

6 authors.

Yaxin HanSchool of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 101408, China.ORCID 0009-0003-5116-3088
Shuo LiCatherine McAuley School of Nursing and Midwifery, University of Cork, T12YN60 Cork, Ireland.ORCID 0009-0006-2298-7338
Li ZeshengSchool of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 101408, China.
Renzhi TianSchool of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 101408, China.ORCID 0009-0001-0418-5095
Chengchang PanSchool of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 101408, China.
Honggang QiSchool of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 101408, China.

Funding

National Natural Science Foundation of China 62271466
6 · The paper itself

Abstract

backgroundCognitive decline is an escalating public health challenge with global population aging. Understanding the association between hobby engagement and cognitive function is crucial for developing effective interventions.

methodsUtilizing data from waves 2 to 9 of the English Longitudinal Study of Ageing (ELSA), this study included 6854 community-dwelling adults aged 50 years and older. To comprehensively capture this relationship, we employed a multi-method analytical approach, encompassing multiple linear regression, linear mixed-effects models, group-based trajectory modeling (GBTM), and a comparison of machine learning algorithms to assess both associations and predictive performance.

resultsCross-sectionally, hobby engagement was significantly associated with higher baseline global cognitive, memory, and executive function scores. Longitudinally, hobbies were associated with a slower rate of decline in orientation, but not in memory, executive function, or global cognition. Group-based trajectory modeling, which identifies distinct subgroups with heterogeneous cognitive pathways, revealed that hobby engagement was associated with a substantially lower risk of belonging to a "persistently low cognitive function" trajectory (OR = 0.46). Among predictive models, the Scikit-learn Gradient Boosting Regressor demonstrated superior performance (RMSE = 0.7517, R

conclusionsOur findings suggest that hobby engagement may have domain-specific protective effects on cognitive health in older adults, most notably by drastically reducing the risk of a severely adverse cognitive trajectory. Promoting hobby participation therefore emerges as a potential viable, low-cost, and impactful public health strategy for preserving cognitive health in aging populations.

Indexed as

agedcognitive declinecognitive reserveEnglish longitudinal study of ageing (ELSA)hobby engagementlongitudinal studiesmachine learningtrajectory analysis

Identifiers

PMID41441211
PMCPMC12736032

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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 Socratic graph.