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...

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Publicado en:Journals of Gerontology Series B: Psychological Sciences & Social Sciences Vol. 81; no. 1; pp. 1 - 11
Autores principales: Berg, Addison Leeds, Sinclair, Stephanie, Acosta-Parra, Ashley, Moreno, César A, Glosson, Ana, Whitmer, Rachel A, Gilsanz, Paola, Fletcher, Evan
Formato: Artículo
Publicado: Oxford University Press / USA Jan2026
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2026
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      pub: Oxford University Press / USA
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        atl: The importance of modifiable lifestyle factors for episodic memory: a gradient boosted tree analysis.
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        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
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