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Microgravity Employment in Archaeology – Available Experience and Future Perspectives
Lev V Eppelbaum
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Abstract

要約 at IgMin Research

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Medicine Group Research Article 記事ID: igmin312

Unraveling Cognitive Aging: A Comprehensive Narrative Review of the Seattle Longitudinal Study and Recent Breakthroughs

Public Health DOI10.61927/igmin312
Chak Hang Chan *
Affiliation

Affiliation

    K. International School Tokyo, Japan

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要約

The Seattle Longitudinal Study (SLS), initiated in 1956 by Dr. K. Warner Schaie, is one of the most comprehensive psychological research studies on cognitive aging. It aims to investigate various aspects of psychological development throughout adulthood, defined within the age range of 22 to 70. It focuses on individual differences and differential patterns of change for selected psychometric abilities from young adulthood to midlife to old age. It has determined the magnitude and relative importance of age changes in various cohorts in different skills [1].

数字

Research rate of scientific productivity in China and other countries. Figure 3: Research rate of scientific productivity in China ...
Reseach publication rend of Internet of Things (IoT) in 2011-2025. Figure 4: Reseach publication rend of Internet of Things (Io...
Distribution of scientific productivity in the Internet of Things in the world. Figure 5: Distribution of scientific productivity in the Int...

参考文献

    1. About SLS - Seattle Longitudinal Study. University of Washington Department of Psychiatry & Behavioral Sciences [Internet].
    2. Schaie KW, Willis SL, Caskie GIL. The Seattle Longitudinal Study: Relationship between personality and cognition [Internet]. University of Washington Department of Psychiatry & Behavioral Sciences; 2020 Mar.
    3. Seattle Longitudinal Study - UW Department of Psychiatry & Behavioral Sciences. University of Washington Department of Psychiatry & Behavioral Sciences [Internet].
    4. Hertzog C. Methodological issues in the assessment of fluid and crystallized intelligence in aging research. In: Birren JE, Schaie KW, editors. Handbook of the Psychology of Aging. 6th ed. San Diego: Academic Press; 2010;117–34.
    5. Schaie KW. Intellectual Development in Adulthood: The Seattle Longitudinal Study. Cambridge (MA): Harvard University Press; 1996.
    6. Schaie KW. Developmental Influences on Adult Intelligence: The Seattle Longitudinal Study. New York: Oxford University Press; 2013.
    7. Schaie KW. Impact of life-course factors on patterns of cognitive aging. In: Birren JE, Schaie KW, editors. Handbook of the Psychology of Aging. 5th ed. San Diego: Academic Press; 2000;217–32.
    8. Schaie KW. Developmental Influences on Adult Intelligence: The Seattle Longitudinal Study. New York: Oxford University Press; 2005.
    9. Prinzie P, Onghena P. Modeling developmental change: Applications of multilevel modeling to longitudinal data. In: Laursen B, Little TD, Card NA, editors. Modeling Longitudinal and Multilevel Data. New York: Routledge; 2005;11–28.
    10. Nordlund A, Påhlsson B, Holmberg H, Lind K, Wallin J. Cognitive aging: Progress in understanding and opportunities for action. Washington (DC): National Academies Press; 2011.
    11. Kennison RF, Situ D, Reyes N, Ahacic K. Cohort effects. In: Pachana NA, editor. Encyclopedia of Geropsychology. Singapore: Springer Singapore; 2016;1–9.
    12. Schaie KW, Willis SL. The Seattle Longitudinal Study of adult cognitive development. NIH Public Access [Internet]. 2010
    13. Schaie KW, Willis SL, Caskie GIL. The Seattle Longitudinal Study: Relationship between personality and cognition [Internet]. University of Washington Department of Psychiatry & Behavioral Sciences; 2020.
    14. Schaie KW. The Seattle Longitudinal Study: a thirty-five-year inquiry of adult intellectual development. Z Gerontol. 1993 May-Jun;26(3):129-37. PMID: 8337905.
    15. Abramson A. Psychology is improving brain health and aging. Am Psychol Assoc [Internet]. 2024.
    16. National Academies of Sciences, Engineering, and Medicine. Cognitive aging: Progress in understanding and opportunities for action. Washington (DC): National Academies Press; 2015.
    17. Creativity and intelligence: A tripartite structure. Psychology Today. 2012.
    18. Crystallized intelligence - The Behavioral Scientist. The Behavioral Scientist [Internet]. [cited 2025 Apr 5].
    19. Hueluer G, Dodge H. New developments in cognitive aging research. Innov Aging. 2018;2(Suppl 1):382.
    20. Khalil R, Godde B, Karim AA. The Link Between Creativity, Cognition, and Creative Drives and Underlying Neural Mechanisms. Front Neural Circuits. 2019 Mar 22;13:18. doi: 10.3389/fncir.2019.00018. PMID: 30967763; PMCID: PMC6440443.
    21. Maelstrom Research. Maelstrom research - Seattle Longitudinal Study (SLS) [Internet]. Maelstrom Research; [cited 2025 Apr 5].
    22. Qwen3-235B-A22B (Apr 29 version) [Large language model]. 2025.
    23. Schaie KW. Developmental Influences on Adult Intelligence: The Seattle Longitudinal Study. New York: Oxford University Press; 2013.
    24. University of Cambridge. Study finds strongest evidence to date of brain's ability to compensate for age-related cognitive decline. ScienceDaily [Internet]. 2024 Jan 15 [cited 2025 Apr 5].
    25. Schaie KW, Willis SL. The Seattle Longitudinal Study of Adult Cognitive Development. ISSBD Bull. 2010;57(1):24-29. PMID: 23536918; PMCID: PMC3607395.
    26. McKnight Brain Research Foundation. What is cognitive aging? [Internet]. 2021 Apr [cited 2025 Apr 5].
    27. Harvard T.H. Chan School of Public Health. What is cognitive reserve? [Internet]. 2023 Jan 17.
    28. Yu C, Beckmann JF, Birney DP. Cognitive flexibility as a meta-competency / Flexibilidad cognitiva como meta-competencia. Estud Psicol (Campinas). 2019;40(3):563–84.
    29. Zhao S, Li Y, Shi Y, Li X. Cognitive Aging: How the Brain Ages? Adv Exp Med Biol. 2023;1419:9-21. doi: 10.1007/978-981-99-1627-6_2. PMID: 37418203.

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