Mapping the research landscape of aging population: a bibliometric study.

Background and Objectives The aging population is a critical global issue shaped by demographic transitions. Despite growing research, a comprehensive bibliometric analysis of trends, contributors, and thematic evolution is lacking. This study aims to map the research landscape on population ageing...

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Publicado en:Gerontologist Vol. 66; no. 7; pp. 1 - 21
Autores principales: Ting, Li Han, Low, Mei Peng, Ahmi, Aidi
Formato: Artículo
Publicado: Oxford University Press / USA Jul2026
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2026
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        atl: Mapping the research landscape of aging population: a bibliometric study.
      aug:
        au:
          Ting, Li Han
          Low, Mei Peng
          Ahmi, Aidi
        affil:
          Department of International Business, Faculty of Accountancy and Management, Universiti Tunku Abdul Rahman, Kajang, Selangor, Malaysia
          Tunku Puteri Intan Safinaz, School of Accountancy, Universiti Utara Malaysia, Sintok, Kedah, Malaysia
      su:
        Canada
        United States
        United Kingdom
        Elder care
        Health status indicators
        Diffusion of innovations
        Interprofessional relations
        Geriatrics
        Socioeconomic factors
        Equality
        Artificial intelligence
        Authorship
        Home environment
        Assistive technology
        Chronic diseases
        Institutional cooperation
        Aging
        Associations, institutions, etc.
        Pensions
        Authors
        Longevity
        Cognition
        Serial publications
        Digital technology
        Subject headings
        Poisson distribution
        Statistical correlation
        Citation analysis
        Information storage & retrieval systems
        Descriptive statistics
        Trend analysis
        Thematic analysis
        Telemedicine
        Bibliometrics
        Data analysis software
        Log-linear models
        Health care teams
        Regression analysis
      sug:
        subj:
          Elder care
          Health status indicators
          Diffusion of innovations
          Interprofessional relations
          Geriatrics
          Socioeconomic factors
          Equality
          Artificial intelligence
          Authorship
          Home environment
          Assistive technology
          Chronic diseases
          Institutional cooperation
          Aging
          Associations, institutions, etc.
          Pensions
          Authors
          Longevity
          Cognition
          Canada
          United States
          United Kingdom
          Continuing Care Retirement Communities
          Other Similar Organizations (except Business, Professional, Labor, and Political Organizations)
          Independent writers and authors
          Independent Artists, Writers, and Performers
          Trusteed pension funds
          Serial publications
          Digital technology
          Subject headings
          Poisson distribution
          Statistical correlation
          Citation analysis
          Information storage & retrieval systems
          Descriptive statistics
          Trend analysis
          Thematic analysis
          Telemedicine
          Bibliometrics
          Data analysis software
          Log-linear models
          Health care teams
          Regression analysis
      keyword:
        aging
        Aging challenges
        Aging population
        Bibliometric analysis
        copyrightHolder:The Gerontological Society of America
        copyrightYear:2026
        https://dx.doi.org/10.1093/geront/gnag065
        inLanguage:en
        Interdisciplinary
        publisher:Oxford University Press
        sameAs:https://pubmed.ncbi.nlm.nih.gov/42057297/
        aging
        Aging challenges
        Aging population
        Bibliometric analysis
        copyrightHolder:The Gerontological Society of America
        copyrightYear:2026
        https://dx.doi.org/10.1093/geront/gnag065
        inLanguage:en
        Interdisciplinary
        publisher:Oxford University Press
        sameAs:https://pubmed.ncbi.nlm.nih.gov/42057297/
      ab: Background and Objectives The aging population is a critical global issue shaped by demographic transitions. Despite growing research, a comprehensive bibliometric analysis of trends, contributors, and thematic evolution is lacking. This study aims to map the research landscape on population ageing from 1940 to 2024, identifying publication trends, key contributors, dominant themes, and emerging technological interventions. Research Design and Methods Following PRISMA guidelines, a systematic search was conducted in the Scopus database. After screening titles, abstracts, and full texts according to predefined criteria, 2,568 publications were included. Bibliometric analyses were performed using biblioMagika, VOSviewer, and Biblioshiny to examine publication growth, citation patterns, co-authorship networks, and keyword co-occurrence. Sensitivity analyses using year-by-year preliminary data were employed to assess trend robustness. Results Findings reveal sustained growth in ageing-related research through the sensitivity analysis, reflecting global interest. Key themes unveiled in this study are health and chronic diseases (e.g. geriatric care, longevity), Cognitive health and technology integration (e.g. AI, smart homes), Socioeconomic aspects (e.g. pensions, intergenerational equity). Also, Artificial intelligence and smart technologies emerged as pivotal for older adult care innovation. The United States, United Kingdom, and Canada led in contributions, with interdisciplinary collaboration driving advancements. Discussion and Implications The study reveals the need for interdisciplinary research to address ageing challenges, offering policymakers and stakeholders a roadmap for future priorities. Emerging technologies like AI present transformative opportunities but require ethical and equitable implementation. Limitations include database coverage biases. Future research should explore multiple bases, regional disparities and practical applications of technological solutions.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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