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Summary
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Longitudinal aging studies in East and Southeast Asia face funding, staffing, and data comparability challenges. Strategies are needed for sustainable data ecosystems and healthy aging policy.

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Area of Science:

  • Gerontology
  • Public Health
  • Data Science

Background:

  • Longitudinal data is vital for understanding population aging trends in East and Southeast Asia.
  • Infrastructures for collecting and managing this data face undocumented challenges.

Purpose of the Study:

  • To investigate challenges and adaptations in longitudinal aging datasets across East and Southeast Asia.
  • To synthesize stakeholder-informed recommendations for future study design, implementation, sustainability, and data sharing.

Main Methods:

  • Qualitative study using semistructured interviews (September 2024-June 2025) with 33 stakeholders.
  • Engaged participants from 13 East/Southeast Asian countries/regions, plus experts from India, UK, and US.
  • Thematic analysis (January-June 2025) using inductive, deductive, and abductive approaches.

Main Results:

  • Identified four key themes: structural/contextual barriers (funding, silos, shortages), local adaptations (cultural, data accuracy, biospecimens), sustainability threats (funding, retention), and data governance/comparability constraints.
  • Participants reported significant barriers in establishing and maintaining longitudinal aging data systems.
  • Adaptations and strategies were noted for local contexts, but data governance and comparability remain challenging.

Conclusions:

  • Building sustainable longitudinal aging data ecosystems in East/Southeast Asia requires context-specific strategies, policy alignment, and multidisciplinary collaboration.
  • Improved data harmonization and intentional inclusion of vulnerable populations are crucial for healthy aging policy.
  • Stakeholder-informed recommendations are essential for future cohort development and long-term sustainability.