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Related Concept Videos

Aging01:26

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Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
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Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
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Updated: May 19, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

[Structural equation modeling on successful aging in elders - focused on selection · optimization · compensation

Doo Nam Oh1

  • 1Department of Nursing, The Research Institute for Basic Science, Hoseo University, Asan, Korea. doonoh@hoseo.edu

Journal of Korean Academy of Nursing
|August 3, 2012
PubMed
Summary

This study found that good functional health and using Selection, Optimization, and Compensation (SOC) strategies significantly impact successful aging in older adults. Interventions should focus on these areas to promote healthy aging.

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Published on: January 11, 2020

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Last Updated: May 19, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
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Published on: September 27, 2019

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

  • Gerontology
  • Psychology
  • Health Sciences

Context:

  • Aging population presents unique challenges to health and well-being.
  • Understanding factors contributing to successful aging is crucial for public health.
  • The Selection, Optimization, and Compensation (SOC) model offers a framework for adaptation in later life.

Purpose:

  • To construct and validate a structural equation model examining the influence of health status and SOC strategies on successful aging in the elderly.
  • To identify key pathways through which specific health domains and SOC strategies affect successful aging outcomes.

Summary:

  • A structural equation model was developed and tested using data from 201 elderly individuals (aged 65+).
  • The model indicated that functional health status directly and positively influences successful aging.
  • Emotional health status indirectly impacts successful aging by enhancing the application of SOC strategies.

Impact:

  • Findings highlight the importance of maintaining functional health and employing SOC strategies for successful aging.
  • Results suggest targeted interventions to improve functional health and strengthen SOC skills are essential.
  • The study advocates for the development of diverse successful aging programs incorporating the SOC strategy.