A Review of Data Sources for the Study of Ageing

The understanding of human ageing contributes to the overall improvement of healthcare and opens the door to the increase of life expectancy and quality of life. Studies on human ageing, which are evidence-based, require data. Although some efforts have been put to concentrate datasets in single ref...

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Autores:
Bernal, Mary Carolota
Martínez-Ballesté, Antoni
Solanas, Agusti
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
OAI Identifier:
oai:bonga.unisimon.edu.co:20.500.12442/9897
Acceso en línea:
https://hdl.handle.net/20.500.12442/9897
http://doi.org/10.1109/COMPSAC51774.2021.00278
Palabra clave:
healthy aging
Datasets
open data
Smart Health
envejecimiento saludable
Conjuntos de datos
Datos abiertos
Salud inteligente
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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dc.title.eng.fl_str_mv A Review of Data Sources for the Study of Ageing
title A Review of Data Sources for the Study of Ageing
spellingShingle A Review of Data Sources for the Study of Ageing
healthy aging
Datasets
open data
Smart Health
envejecimiento saludable
Conjuntos de datos
Datos abiertos
Salud inteligente
title_short A Review of Data Sources for the Study of Ageing
title_full A Review of Data Sources for the Study of Ageing
title_fullStr A Review of Data Sources for the Study of Ageing
title_full_unstemmed A Review of Data Sources for the Study of Ageing
title_sort A Review of Data Sources for the Study of Ageing
dc.creator.fl_str_mv Bernal, Mary Carolota
Martínez-Ballesté, Antoni
Solanas, Agusti
dc.contributor.author.none.fl_str_mv Bernal, Mary Carolota
Martínez-Ballesté, Antoni
Solanas, Agusti
dc.subject.eng.fl_str_mv healthy aging
Datasets
open data
Smart Health
topic healthy aging
Datasets
open data
Smart Health
envejecimiento saludable
Conjuntos de datos
Datos abiertos
Salud inteligente
dc.subject.spa.fl_str_mv envejecimiento saludable
Conjuntos de datos
Datos abiertos
Salud inteligente
description The understanding of human ageing contributes to the overall improvement of healthcare and opens the door to the increase of life expectancy and quality of life. Studies on human ageing, which are evidence-based, require data. Although some efforts have been put to concentrate datasets in single reference points, many datasets remain hidden in articles, studies and research projects websites. In this paper, we aim at identifying those datasets that have been used for the study of human ageing and make them easy to find to researchers in the field. To do so, we have analysed wellknown literature databases, previous reviews, and specialised sources. We have reviewed the available data and, as a result, we have identified and discussed 28 datasets. Hence, this article provides an organised reference point to datasets for researchers interested in the study of human ageing and contributes to their visibility.
publishDate 2021
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dc.date.accessioned.none.fl_str_mv 2022-06-06T15:03:52Z
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dc.identifier.citation.eng.fl_str_mv M. C. Bernal, A. Martínez-Ballesté and A. Solanas, "A Review of Data Sources for the Study of Ageing," 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 2021, pp. 1843-1848, doi: 10.1109/COMPSAC51774.2021.00278.
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identifier_str_mv M. C. Bernal, A. Martínez-Ballesté and A. Solanas, "A Review of Data Sources for the Study of Ageing," 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 2021, pp. 1843-1848, doi: 10.1109/COMPSAC51774.2021.00278.
9781665424639
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dc.publisher.eng.fl_str_mv IEEE
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spelling Bernal, Mary Carolota3684e880-5af3-420b-be59-d55bc6e56a1fMartínez-Ballesté, Antoni0877abe2-1dff-43b1-a590-675802046ec8Solanas, Agusti799f84a5-8b0c-4aa0-8764-11e264204f5c2022-06-06T15:03:52Z2022-06-06T15:03:52Z2021M. C. Bernal, A. Martínez-Ballesté and A. Solanas, "A Review of Data Sources for the Study of Ageing," 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 2021, pp. 1843-1848, doi: 10.1109/COMPSAC51774.2021.00278.9781665424639https://hdl.handle.net/20.500.12442/9897http://doi.org/10.1109/COMPSAC51774.2021.00278The understanding of human ageing contributes to the overall improvement of healthcare and opens the door to the increase of life expectancy and quality of life. Studies on human ageing, which are evidence-based, require data. Although some efforts have been put to concentrate datasets in single reference points, many datasets remain hidden in articles, studies and research projects websites. In this paper, we aim at identifying those datasets that have been used for the study of human ageing and make them easy to find to researchers in the field. To do so, we have analysed wellknown literature databases, previous reviews, and specialised sources. We have reviewed the available data and, as a result, we have identified and discussed 28 datasets. Hence, this article provides an organised reference point to datasets for researchers interested in the study of human ageing and contributes to their visibility.pdfengIEEEAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf245th Annual Computers, Software, and Applications Conference (COMPSAC)2021healthy agingDatasetsopen dataSmart Healthenvejecimiento saludableConjuntos de datosDatos abiertosSalud inteligenteA Review of Data Sources for the Study of Ageinginfo:eu-repo/semantics/articleArtículo científicohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1World Health Organization, World report on ageing and health. World Health Organization, 2015.B. A. Carnes and S. J. Olshansky, “A realist view of aging, mortality, and future longevity,” Population and Development Review, vol. 33, no. 2, pp. 367–381, 2007.J. R. Wilmoth, “Demography of longevity: past, present, and future trends,” Experimental gerontology, vol. 35, no. 9-10, pp. 1111–1129, 2000J. R. Wilmoth, “Demography of longevity: past, present, and future trends,” Experimental gerontology, vol. 35, no. 9-10, pp. 1111–1129, 2000.World Health Organization, “Ageing.” [Online]. Available: https: //www.who.int/health-topics/ageingS. X. Leng and B. K. Kennedy, “International investment in geroscience,” Public Policy & Aging Report, vol. 29, no. 4, pp. 134–138, 2019.World Health Organization, “Ageing and health,” 2018. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/ ageing-and-healthWorld Health Organization and others, Decade of healthy ageing: baseline report. World Health Organization, 2020.R. Thakur, S. H. Hsu, and G. Fontenot, “Innovation in healthcare: Issues and future trends,” Journal of Business Research, vol. 65, no. 4, pp. 562– 569, 2012.S. Thuault, “Reflections on aging research from within the national institute on aging,” Nature Aging, vol. 1, no. 1, pp. 14–18, 2021.A. Solanas, C. Patsakis, M. Conti, I. S. Vlachos, V. Ramos, F. Falcone, O. Postolache, P. A. P´erez-Mart´ınez, R. Di Pietro, D. N. Perrea et al., “Smart health: A context-aware health paradigm within smart cities,” IEEE Communications Magazine, vol. 52, no. 8, pp. 74–81, 2014.J. Machin, E. Batista, A. Mart´ınez-Ballest´e, and A. Solanas, “Privacy and security in cognitive cities: A systematic review,” Applied Sciences, vol. 11, no. 10, p. 4471, May 2021.J. Machin and A. Solanas, “Conceptual description of nature-inspired cognitive cities: Properties and challenges,” in International Work- Conference on the Interplay Between Natural and Artificial Computation. Springer, Cham, 2019, pp. 212–222.P. O. Fedichev, “Hacking aging: a strategy to use big data from medical studies to extend human life,” Frontiers in genetics, vol. 9, p. 483, 2018.J. H. Moore, N. Raghavachari et al., “Artificial intelligence based approaches to identify molecular determinants of exceptional health and life span-an interdisciplinary workshop at the national institute on aging,” Frontiers in Artificial Intelligence, vol. 2, p. 12, 2019.World Health Organization, “Ageing: Healthy ageing and functional ability,” 2020. [Online]. Available: https://www.who.int/westernpacific/ news/q-a-detail/ageing-healthy-ageing-and-functional-abilityA. Kaiser, “A review of longitudinal datasets on ageing,” Journal of Population Ageing, vol. 6, no. 1-2, pp. 5–27, 2013.M. H. Schafer and K. F. Ferraro, “Data sources for studying aging,” in International handbook of population aging. Springer, 2009, pp. 19–36.F. T. Juster and R. Suzman, “An overview of the health and retirement study,” Journal of Human Resources, pp. S7–S56, 1995.R. Wong, A. Michaels-Obreg´on, A. Palloni, L. M. Guti´errez-Robledo, C. Gonz´alez-Gonz´alez, M. L´opez-Ortega, M. M. T´ellez-Rojo, and L. R. Mendoza-Alvarado, “Progression of aging in mexico: The mexican health and aging study (mhas) 2012,” Salud publica de Mexico, vol. 57, pp. s79–s89, 2015.A. Steptoe, E. Breeze, J. Banks, and J. Nazroo, “Cohort profile: the english longitudinal study of ageing,” International journal of epidemiology, vol. 42, no. 6, pp. 1640–1648, 2013.Y. Zhao, Y. Hu, J. P. Smith, J. Strauss, and G. Yang, “Cohort profile: the china health and retirement longitudinal study (charls),” International journal of epidemiology, vol. 43, no. 1, pp. 61–68, 2014.J. H. Park, S. Lim, J. Lim, K. Kim, M. Han, I. Y. Yoon, J. Kim, Y. Chang, C. B. Chang, H. J. Chin et al., “An overview of the korean longitudinal study on health and aging,” Psychiatry investigation, vol. 4, no. 2, p. 84, 2007.L. Rosero Bixby, W. H. Dow, and G. Brenes Camacho, “Costa rican longevity and healthy aging study,” in Encyclopedia of Gerontology and Population Aging. Springer International Publishing, 2019, pp. 1–5.M. F. Lima-Costa, F. B. de Andrade, P. R. B. d. Souza, A. L. Neri, Y. A. d. O. Duarte, E. Castro-Costa, and C. de Oliveira, “The brazilian longitudinal study of aging (elsi-brazil): objectives and design,” American journal of epidemiology, vol. 187, no. 7, pp. 1345–1353, 2018.H. Ichimura and S. Shimizutani, Retirement Process in Japan: New Evidence from Japanese Study on Aging and Retirement (JSTAR). Panel on Policy Research and Data Needs to Meet the Challenge of Aging in Asia. Committee on Population, Division of Behavioral and Social Sciences and Education, 2012.P. Arokiasamy, David E. Bloom, Jinkook Lee, T. V. Sekher, S. K. Mohanty, D. A. Nagdeve, Aparajita Chattopadhyay, Dipti Govil, and Sarang Pedgaonkar, “The Longitudinal Ageing Study in India (LASI) 2017-18 - national report (Wave 1),” International Institute for Population Sciences, National Programme for Health Care of Elderly, Ministry of Health and Family Welfare, Harvard T. H. Chan School of Public Health, and the University of Southern California, Tech. Rep., 2020O. A. Donoghue, C. A. McGarrigle, M. Foley, A. Fagan, J. Meaney, and R. A. Kenny, “Cohort profile update: the irish longitudinal study on ageing (tilda),” International journal of epidemiology, vol. 47, no. 5, pp. 1398–1398l, 2018.A. B¨orsch-Supan, M. Brandt, C. Hunkler, T. Kneip, J. Korbmacher, F. Malter, B. Schaan, S. Stuck, and S. Zuber, “Data resource profile: the survey of health, ageing and retirement in europe (share),” International journal of epidemiology, vol. 42, no. 4, pp. 992–1001, 2013.D. Anantanasuwong, D. Theerawanviwat, and P. Siripanich, “Panel Survey and Study on Health, Aging, and Retirement in Thailand,” in Encyclopedia of Gerontology and Population Aging. Springer International Publishing, 2019, pp. 1–6.S. Cruise and F. Kee, Early key findings from a study of older people in Northern Ireland: The NICOLA study. Northern Ireland Cohort for the Longitudinal Study of Ageing, Centre for Public Health, 2017.F. X. G´omez-Oliv´e, L. Montana, R. G. Wagner, C. W. Kabudula, J. K. Rohr, K. Kahn, T. B¨arnighausen, M. Collinson, D. Canning, T. Gaziano et al., “Cohort profile: health and ageing in africa: a longitudinal study of an indepth community in south africa (haalsi),” International journal of epidemiology, vol. 47, no. 3, pp. 689–690j, 2018.S. Chatterji, “World health organisation’s (who) study on global ageing and adult health (sage),” in BMC proceedings, vol. 7, no. 4. Springer, 2013, pp. 1–1.C. Albala, M. L. Lebr˜ao, L. D. EM, R. Ham-Chande, A. J. Hennis, A. Palloni, M. Pel´aez, and O. Pratts, “The health, well-being, and aging (” sabe”) survey: methodology applied and profile of the study population,” Revista panamericana de salud publica= Pan American journal of public health, vol. 17, no. 5-6, pp. 307–322, 2005.G. W. Leeson and S. Harper, “The global ageing survey (glas)-ageing and later life, united kingdom and europe,” Research Report 107, Oxford Institute of Ageing, University of Oxford, Tech. Rep., 2007.M. A. Luszcz, L. C. Giles, K. J. Anstey, K. C. Browne-Yung, R. A. Walker, and T. D. Windsor, “Cohort profile: the australian longitudinal study of ageing (alsa),” International Journal of Epidemiology, vol. 45, no. 4, pp. 1054–1063, 2016.L. Ferrucci, “The Baltimore Longitudinal Study of Aging (BLSA): A 50-Year-Long Journey and Plans for the Future,” The Journals of Gerontology: Series A, vol. 63, no. 12, pp. 1416–1419, 12 2008.P. S. Raina, C. Wolfson, S. A. Kirkland, L. E. Griffith, M. Oremus, C. Patterson, H. Tuokko, M. Penning, C. M. Balion, D. Hogan et al., “The canadian longitudinal study on aging (clsa),” Canadian Journal on Aging/La Revue canadienne du vieillissement, vol. 28, no. 3, pp. 221–229, 2009.S. Maggi, M. Zucchetto, F. Grigoletto, M. Baldereschi, L. Candelise, E. Scarpini, G. Scarlato, and L. Amaducci, “The italian longitudinal study on aging (ilsa): design and methods,” Aging Clinical and Experimental Research, vol. 6, no. 6, pp. 464–473, 1994.E. O. Hoogendijk, D. J. Deeg, J. Poppelaars, M. van der Horst, M. I. B. van Groenou, H. C. Comijs, H. R. W. Pasman, N. M. van Schoor, B. Suanet, F. Thom´ese et al., “The longitudinal aging study amsterdam: cohort update 2016 and major findings,” European Journal of Epidemiology, vol. 31, no. 9, pp. 927–945, 2016.V. A. Freedman and J. D. Kasper, “Cohort profile: The national health and aging trends study (nhats),” International journal of epidemiology, vol. 48, no. 4, p. 1044, 2019.Nihon University, “Nihon University Longitudinal Study of Aging (NUJLSOA) - NUJLSOA.” [Online]. Available: https://gero.usc.edu/ cbph/nujlsoa/Z. Yi, “Introduction to the chinese longitudinal healthy longevity survey (clhls),” in Healthy longevity in China. Springer, 2008, pp. 23–38.R. Suzman, “The national social life, health, and aging project: An introduction,” Journals of Gerontology Series B: Psychological Sciences and Social Sciences, vol. 64, no. suppl 1, pp. i5–i11, 2009.United States Centers for Disease Control and Prevention, “NHANES - National Health and Nutrition Examination Survey Homepage.” [Online]. Available: https://www.cdc.gov/nchs/nhanesChinese Center for Disease Control and Prevention, “China Health and Nutrition Survey — China Health and Nutrition Survey (CHNS).” [Online]. 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