ArticleJAMA network open2026
Harnessing Longitudinal Health Data for Aging Populations.
Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Adapting the Geriatric Medicine 5Ms Framework to Geriatric Dermatology.Drugs & aging · 2026Review
- Centering Asian voices in global aging research: strengthening data infrastructure in East and Southeast Asia.The Lancet regional health. Western Pacific · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Longitudinal data are crucial for understanding rapid population aging in East and Southeast Asia, yet challenges in establishing and managing infrastructures remain undocumented. Objective: To investigate challenges and adaptations across longitudinal aging datasets in East and Southeast Asia and synthesize stakeholder-informed processes and recommendations to guide future study design, implementation, sustainability, and data sharing. Design, Setting, and Participants: This qualitative study used semistructured interviews conducted online and in-person from September 2024 to June 2025. Data were analyzed using a combined inductive, deductive, and abductive approach to identify themes related to the life cycle of longitudinal aging studies. Stakeholders were engaged across 13 East and Southeast Asia countries and regions (China, Japan, South Korea, and countries in the Association of Southeast Asian Nations), and experts from India, the United Kingdom, and the US. Participants were a purposive and snowball sample of 33 stakeholders involved in aging research data collection and management, including principal investigators, coordinators, and data platform leaders, and other key personnel with experience establishing or managing aging-related health datasets. Main Outcomes and Measures: Themes on challenges and strategies in the establishment, implementation, maintenance, and sharing of longitudinal aging data were identified through thematic analysis. An iterative thematic analysis to identify recurring patterns was conducted from January to June 2025. Results: Of 33 participants, 23 (72.7%) were principal investigators or co-principal investigators. Four themes emerged: (1) structural and contextual barriers, including funding instability, collaboration silos, and personnel shortages; (2) adapting research design and logistics to local contexts, addressing cultural differences, data accuracy, and biospecimen handling; (3) retaining funding and staff to ensure sustainability amid external disruptions; and (4) constraints related to data governance, privacy regulations, and limited comparability. Conclusions and Relevance: In this qualitative study of stakeholders involved in longitudinal aging research data systems, participants described structural and contextual barriers, reported adaptations to local research logistics and design, highlighted sustainability threats related to funding and retention, and identified persistent constraints in data governance and cross-study comparability. These findings suggest that building longitudinal aging data ecosystems in East and Southeast Asia requires context-specific strategies aligned with policies, strengthened multidisciplinary collaboration, improved data harmonization, and intentional inclusion of vulnerable populations to inform healthy aging policy, while yielding stakeholder-informed processes and recommendations to support future cohort development and sustainability.
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Registered trials
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 OpenQuestion graph.