The importance of modifiable lifestyle factors for episodic memory: a gradient boosted tree analysis.
Objectives Cognitively, physically, and socially active lifestyles are important factors of healthy aging. Our objective is to leverage novel machine learning techniques in an ethnoracially diverse population to yield powerful, explainable models of modifiable lifestyle factors contributing to memor...
| Publicado en: | Journals of Gerontology Series B: Psychological Sciences & Social Sciences Vol. 81; no. 1; pp. 1 - 11 |
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| Autores principales: | , , , , , , , |
| Formato: | Artículo |
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Oxford University Press / USA
Jan2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=191893072&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 191893072 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10795014 JGB jtl: Journals of Gerontology Series B: Psychological Sciences & Social Sciences issn: 10795014 maglogo: N pubinfo: dt: Jan2026 vid: 81 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 191893072 10.1093/geronb/gbaf225 ppf: 1 ppct: 10 formats: tig: atl: The importance of modifiable lifestyle factors for episodic memory: a gradient boosted tree analysis. aug: au: Berg, Addison Leeds Sinclair, Stephanie Acosta-Parra, Ashley Moreno, César A Glosson, Ana Whitmer, Rachel A Gilsanz, Paola Fletcher, Evan affil: Department of Neurology, University of California, Davis, Davis, California, United States Department of Public Health Sciences, University of California, Davis, Davis, California, United States Division of Research, Kaiser Permanente, Oakland, California, United States su: Lifestyles Volunteer service Cross-sectional method Health status indicators Income Education Exercise Episodic memory Sex distribution Smoking Age distribution Leisure Games Sleep Analysis of variance Alcohol drinking Cultural pluralism Socialization Written communication Lung physiology Cooking Ensemble learning Electronic health records Neuropsychological tests Machine learning Decision trees Grip strength Regression analysis sug: subj: Lifestyles Volunteer service Cross-sectional method Health status indicators Income Education Exercise Episodic memory Sex distribution Smoking Age distribution Leisure Games Sleep Analysis of variance Alcohol drinking Cultural pluralism Socialization Written communication Drinking Places (Alcoholic Beverages) Administration of Education Programs All Other Miscellaneous Schools and Instruction Educational Support Services Toy and Hobby Goods and Supplies Merchant Wholesalers Doll, Toy, and Game Manufacturing Hobby, Toy, and Game Stores Lung physiology Cooking Ensemble learning Electronic health records Neuropsychological tests Machine learning Decision trees Grip strength Regression analysis keyword: Healthy cognitive aging Social determinants of health Healthy cognitive aging Social determinants of health ab: Objectives Cognitively, physically, and socially active lifestyles are important factors of healthy aging. Our objective is to leverage novel machine learning techniques in an ethnoracially diverse population to yield powerful, explainable models of modifiable lifestyle factors contributing to memory in older adults. Methods Cross-sectional episodic memory was the outcome in the gradient-boosted tree models and SHAP (SHapley Additive exPlanations). Participants in the Kaiser Healthy Aging and Diverse Life Experiences (KHANDLE) and the Study of Healthy Aging African Americans (STAR) made up the cohort (n = 2,245). Inputs included income, sex, age, education, ethnoracial groups, and 25 modifiable lifestyle factors, which were grouped into a triad of categories: leisure time activities (LTAs), physical metrics, and socialization. SHAP values indicated global feature importance and individual variability. Global importance, aggregated in each triad category, was leveraged for comparison of relative contributions to memory. Results The global feature importance for predicting episodic memory over each of the triad categories was as follows: LTAs (0.225), physical metrics (0.169), and socialization (0.104). Each category outweighed income (0.042), ethnoracial groups (0.070), and education (0.093). LTAs had a greater importance value than sex (0.224) and age (0.203) for predicting episodic memory. Explanatory analysis depicted varying importance rankings on an individual basis. Discussion The results confirm the importance of lifestyle variables and highlight the relative contributions of the triad categories to episodic memory in aging. This suggests that these categories may equal or surpass the importance of factors like sex, age, ethnoracial groups, and education, which are known to affect memory. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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