GERONTEKNOLOJİNİN BİBLİYOMETRİK ANALİZİ: LİTRATÜR TRENDLERİ, ATIF DİNAMİKLERİ VE GELECEK PERSPEKTİFLERİ
Öz
Bu çalışma, ülkeler arasında temel temaları, yazar iş birliklerini ve bilimsel katkıları değerlendirerek geronteknoloji literatüründeki
akademik eğilimleri inceler. Web of Science veri tabanından alınan ve VOSviewer yazılımıyla görselleştirilen veriler kullanılarak
bibliyometrik bir analiz yürütülmüştür. Çalışma, geronteknoloji araştırmalarındaki önemli temaları ve etkili yazarları belirlerken,
ülkeler ve kurumlar arasındaki bilimsel iş birliklerinin yapısını da haritalamaktadır. Bulgular, Çin, Amerika Birleşik Devletleri ve
Malezya gibi ülkelerin alana önemli katkılarda bulunduğunu ve Hong Kong Şehir Üniversitesi ve Monash Üniversitesi gibi kurumların
yüksek etkili araştırmalara ev sahipliği yaptığını göstermektedir. Anahtar kelimeler analizi, "yaşlanma", "destekleyici teknoloji",
"yaşam kalitesi" ve "sağlık promosyonu" gibi terimlerin, sıklıkla "bilişsel sağlık", "düşme önleme" ve "yaşam kalitesini artırma" gibi
kavramlarla ilişkilendirilen en güçlü bağlantıları gösterdiğini ortaya koymaktadır. Son araştırmalar, geronteknolojinin giderek artan
disiplinler arası doğasını vurgulayarak araştırmacılara anlamlı içgörüler sunmakta ve akademik önemini genişletmektedir. Ayrıca,
yaşlı yetişkinlerin bağımsızlığını desteklemek için teknolojik çözümler geliştirmeye odaklanan çalışmalar hem akademik hem de
endüstri paydaşları için değerli kaynaklar sunmaktadır. Mevcut literatürün kapsamlı bir genel görünümünü sağlayarak, bu çalışma
geronteknolojideki gelecekteki araştırmalara rehberlik etmeyi ve yaşlanan nüfusların değişen ihtiyaçlarını daha iyi karşılamak için
stratejik yaklaşımların geliştirilmesini desteklemeyi amaçlamaktadır.
Anahtar Kelimeler
geronteknoloji yaşlı yetişkinler teknoloji etik bibliyometri
Kaynakça
- Bilotta, C., et al. (2011). Older people’s quality of life (OPQOL) scores and adverse health outcomes at a oneyear follow-up: A prospective cohort study on older outpatients living in the community in Italy. Health and Quality of Life Outcomes,9, 72. https://doi.org/10.1186/1477-7525-9-72
- Blackman, S., Matlo, C., Bobrovitskiy, C., Waldoch, A., Fang, M. L., Jackson, P., ... & Sixsmith, A. (2016). Ambient assisted living technologies for aging well: A scoping review. Journal of Intelligent Systems, 25(1), 55-69. https://doi.org/10.1515/jisys-2015-0061
- Chen, K., & Chan, A. H. S. (2014). Gerontechnology acceptance by elderly Hong Kong Chinese: A senior technology acceptance model (STAM). Ergonomics, 57(5), 635-652. https://doi.org/10.1080/00140139.2014.907356
- Delello, J. A., & McWhorter, R. R. (2017). Reducing the digital divide: Connecting older adults to iPad technology. Journal of Applied Gerontology, 36(1), 3-28. https://doi.org/10.1177/0733464814544047
- Fang, Y., Chau, A. K., Wong, A., Fung, H. H., & Woo, J. (2018). Information and communicative technology use enhances psychological well-being of older adults: The roles of age, social connectedness, and frailty status. Aging & Mental Health, 22(11), 1516-1524. https://doi.org/10.1080/13607863.2017.1362784
- Huisman, E. R., Morales, E., Van Hoof, J. & Kort, H. S. (2012). Healing environment: A review of the impact of physical environmental factors on users. Building and Environment, 58, 70-80. https://doi.org/10.1016/j.buildenv.2012.07.013
- Liu, L., Stroulia, E., Nikolaidis, I., Miguel-Cruz, A. & Rincon, A. R. (2016). Smart homes and home health monitoring technologies for older adults: A systematic review. International Journal of Medical Informatics, 91, 44-59. https://doi.org/10.1016/j.ijmedinf.2016.04.003
- Majumder, S., Aghayi, E., Noferesti, M., Memarzadeh-Tehran, H., Mondal, T., Pang, Z. & Deen, M. J. (2017). Smart homes for elderly healthcare—Recent advances and research challenges. Sensors, 17(11), 2496. https://doi.org/10.3390/s17112496
- Marshall, G. A., Rentz, D. M., Frey, M. T., Locascio, J. J., Johnson, K. A., & Sperling, R. A. (2011). Executive function and instrumental activities of daily living in MCI and AD. Alzheimer's Dementia: The Journal of the Alzheimer's Association 7(3), 300–308. https://doi.org/10.1016/j.jalz.2010.04.005
- Peek, S. T., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., Van Der Voort, C. S., Aarts, S., ... & Wouters, E. J. (2016). Older adults' reasons for using technology while aging in place. Gerontology, 62(2), 226-237. https://doi.org/10.1159/000441271
- Portet, F., Vacher, M., Golanski, C., Roux, C., & Meillon, B. (2013). Design and evaluation of a smart home voice interface for the elderly: Acceptability and objection aspects. Personal and Ubiquitous Computing, 17, 127-144. https://doi.org/10.1007/s00779-012-0576-3
- Reppermund, S., et al. (2011). The relationship of neuropsychological function to instrumental activities of daily living in mild cognitive impairment. International Journal of Geriatric Psychiatry, 26(8), 843–852. https://doi.org/10.1002/gps.2612
- US Census. (2021). The U.S. joins other countries with large aging populations. 2018 Census.gov. https://www.census.gov/library/stories/2018/03/graying-america.html (accessed Dec. 20, 2021).
- Valenzuela, T., Okubo, Y., Woodbury, A., Lord, S. R., & Delbaere, K. (2018). Adherence to technology-based exercise programs in older adults: A systematic review. Journal of Geriatric Physical Therapy,41(1), 49– 61. https://doi.org/10.1519/JPT.0000000000000095
- Van Eck, Nees Jan, & Ludo Waltman. (2014). Visualizing bibliometric networks. Measuring scholarly impact: Methods and practice. Cham: Springer International Publishing, 285-320.
- Wang, H., Tao, D., Yu, N., & Qu, X. (2020). Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF. International Journal of Medical Informatics, 139, 104156. https://doi.org/10.1016/j.ijmedinf.2020.104156
- Woolf, S. H. & Schoomaker, H. (2019). Life expectancy and mortality rates in the United States, 1959-2017. JAMA, 322(20), 1996–2016. https://doi.org/10.1001/jama.2019.16932
- Yousaf, K., et al. (2020). A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer’s disease (AD). Health Care Management Science, 23(2), 287–309. https://doi.org/10.1007/s10729-019-09486-0
- Zhang, X., Estoque, R.C., Xie, H., Murayama, Y., & Ranagalage, M. (2019). Bibliometric analysis of highly cited articles on ecosystem services. PLoS ONE, 14(2), 1-16. https://doi.org/10.1371/journal.pone.0210707
A BIBLIOMETRIC ANALYSIS OF GERONTECHNOLOGY: LITERATURE TRENDS, CITATION DYNAMICS, AND FUTURE PERSPECTIVES
Öz
This study examines academic trends within the gerontechnology literature by evaluating core themes, author collaborations, and
scientific contributions across countries. A bibliometric analysis was conducted using data retrieved from the Web of Science database
and visualized through VOSviewer software. The study identifies prominent themes and influential authors in gerontechnology
research, while also mapping the structure of scientific collaborations among countries and institutions. The findings indicate that
countries such as China, the United States, and Malaysia have made significant contributions to the field, with institutions like Hong
Kong City University and Monash University hosting high-impact research. Keyword analysis reveals that terms such as "aging,"
"assistive technology," "quality of life," and "health promotion" demonstrate the strongest linkages, frequently associated with
concepts like "cognitive health," "fall prevention," and "enhancing quality of life." Recent research highlights the growing
multidisciplinary nature of gerontechnology, offering researchers meaningful insights and broadening its academic relevance.
Moreover, studies focused on developing technological solutions to promote the independence of older adults present valuable
resources for both academic and industry stakeholders. By providing a comprehensive overview of the current literature, this study
aims to guide future research in gerontechnology and support the development of strategic approaches to better address the evolving
needs of aging populations.
Anahtar Kelimeler
gerontechnology older adults technology ethics bibliometrics
Kaynakça
- Bilotta, C., et al. (2011). Older people’s quality of life (OPQOL) scores and adverse health outcomes at a oneyear follow-up: A prospective cohort study on older outpatients living in the community in Italy. Health and Quality of Life Outcomes,9, 72. https://doi.org/10.1186/1477-7525-9-72
- Blackman, S., Matlo, C., Bobrovitskiy, C., Waldoch, A., Fang, M. L., Jackson, P., ... & Sixsmith, A. (2016). Ambient assisted living technologies for aging well: A scoping review. Journal of Intelligent Systems, 25(1), 55-69. https://doi.org/10.1515/jisys-2015-0061
- Chen, K., & Chan, A. H. S. (2014). Gerontechnology acceptance by elderly Hong Kong Chinese: A senior technology acceptance model (STAM). Ergonomics, 57(5), 635-652. https://doi.org/10.1080/00140139.2014.907356
- Delello, J. A., & McWhorter, R. R. (2017). Reducing the digital divide: Connecting older adults to iPad technology. Journal of Applied Gerontology, 36(1), 3-28. https://doi.org/10.1177/0733464814544047
- Fang, Y., Chau, A. K., Wong, A., Fung, H. H., & Woo, J. (2018). Information and communicative technology use enhances psychological well-being of older adults: The roles of age, social connectedness, and frailty status. Aging & Mental Health, 22(11), 1516-1524. https://doi.org/10.1080/13607863.2017.1362784
- Huisman, E. R., Morales, E., Van Hoof, J. & Kort, H. S. (2012). Healing environment: A review of the impact of physical environmental factors on users. Building and Environment, 58, 70-80. https://doi.org/10.1016/j.buildenv.2012.07.013
- Liu, L., Stroulia, E., Nikolaidis, I., Miguel-Cruz, A. & Rincon, A. R. (2016). Smart homes and home health monitoring technologies for older adults: A systematic review. International Journal of Medical Informatics, 91, 44-59. https://doi.org/10.1016/j.ijmedinf.2016.04.003
- Majumder, S., Aghayi, E., Noferesti, M., Memarzadeh-Tehran, H., Mondal, T., Pang, Z. & Deen, M. J. (2017). Smart homes for elderly healthcare—Recent advances and research challenges. Sensors, 17(11), 2496. https://doi.org/10.3390/s17112496
- Marshall, G. A., Rentz, D. M., Frey, M. T., Locascio, J. J., Johnson, K. A., & Sperling, R. A. (2011). Executive function and instrumental activities of daily living in MCI and AD. Alzheimer's Dementia: The Journal of the Alzheimer's Association 7(3), 300–308. https://doi.org/10.1016/j.jalz.2010.04.005
- Peek, S. T., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., Van Der Voort, C. S., Aarts, S., ... & Wouters, E. J. (2016). Older adults' reasons for using technology while aging in place. Gerontology, 62(2), 226-237. https://doi.org/10.1159/000441271
- Portet, F., Vacher, M., Golanski, C., Roux, C., & Meillon, B. (2013). Design and evaluation of a smart home voice interface for the elderly: Acceptability and objection aspects. Personal and Ubiquitous Computing, 17, 127-144. https://doi.org/10.1007/s00779-012-0576-3
- Reppermund, S., et al. (2011). The relationship of neuropsychological function to instrumental activities of daily living in mild cognitive impairment. International Journal of Geriatric Psychiatry, 26(8), 843–852. https://doi.org/10.1002/gps.2612
- US Census. (2021). The U.S. joins other countries with large aging populations. 2018 Census.gov. https://www.census.gov/library/stories/2018/03/graying-america.html (accessed Dec. 20, 2021).
- Valenzuela, T., Okubo, Y., Woodbury, A., Lord, S. R., & Delbaere, K. (2018). Adherence to technology-based exercise programs in older adults: A systematic review. Journal of Geriatric Physical Therapy,41(1), 49– 61. https://doi.org/10.1519/JPT.0000000000000095
- Van Eck, Nees Jan, & Ludo Waltman. (2014). Visualizing bibliometric networks. Measuring scholarly impact: Methods and practice. Cham: Springer International Publishing, 285-320.
- Wang, H., Tao, D., Yu, N., & Qu, X. (2020). Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF. International Journal of Medical Informatics, 139, 104156. https://doi.org/10.1016/j.ijmedinf.2020.104156
- Woolf, S. H. & Schoomaker, H. (2019). Life expectancy and mortality rates in the United States, 1959-2017. JAMA, 322(20), 1996–2016. https://doi.org/10.1001/jama.2019.16932
- Yousaf, K., et al. (2020). A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer’s disease (AD). Health Care Management Science, 23(2), 287–309. https://doi.org/10.1007/s10729-019-09486-0
- Zhang, X., Estoque, R.C., Xie, H., Murayama, Y., & Ranagalage, M. (2019). Bibliometric analysis of highly cited articles on ecosystem services. PLoS ONE, 14(2), 1-16. https://doi.org/10.1371/journal.pone.0210707
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Halk Sağlığı (Diğer) |
| Bölüm | Araştırma Makalesi |
| Yazarlar | |
| Erken Görünüm Tarihi | 16 Temmuz 2025 |
| Yayımlanma Tarihi | 30 Temmuz 2025 |
| Gönderilme Tarihi | 21 Mayıs 2025 |
| Kabul Tarihi | 8 Temmuz 2025 |
| Yayımlandığı Sayı | Yıl 2025 Cilt: 7 Sayı: 2 |
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