Laboratory
Population Health
At a Glance
Projects
Publications
Team
Project
Cognitive Functioning in Middle- and High-Income Countries
Mikko Myrskylä, Jo Mhairi Hale (MPIDR / University of St Andrews, United Kingdom), Shubhankar Sharma, Daniel Schneider, Angelo Lorenti, Peng Li, Pekka Martikainen; in Collaboration with Neil Kishor Mehta (University of Michigan, Ann Arbor, USA)
Detailed Description
As people age, they often experience reduced levels of cognitive functioning. These declines can affect older adults’ quality of life and influence the nature of their interpersonal relationships. Reductions in cognition can also limit older people’s independence when it becomes more difficult for them to perform common activities, such as filling out paperwork or performing everyday calculations. Patterns of cognitive decline likely vary by individual characteristics, such as gender, educational attainment, and race/ethnicity. Given the variations in public health conditions, educational systems, and welfare and support systems for the elderly, these patterns are likely to differ across countries and over time.
In low- and middle-income countries, older adults tend to live with their adult children, and thus typically receive extended familial support. However, they must also contend with low levels of institutional support and weak economic conditions, which means that, on average, older people in these countries have lower education and worse health, and have generally experienced tougher socioeconomic conditions over their life course than their counterparts in high-income countries. These experiences may in turn affect the types and the rates of decline in cognitive function that these older individuals experience. In high-income countries, by contrast, a higher percentage of older adults live in institutions such as nursing homes or senior residences, which provide around-the-clock medical attention and allow for some social contact with other seniors. To disentangle these complicated pathways, we apply innovative methodological techniques and exploit data from multiple countries as well as datasets, including the English Longitudinal Study of Aging; the Study of Health, Aging, and Retirement in Europe; the China Health and Retirement Longitudinal Study; and the US Health and Retirement Study.
Publications
Hale, J. M.; Lorenti, A.; Argeseanu Cunningham, S.:
Journals of Gerontology, Series B: Psychological Sciences and Social Sciences 81:3, 1–12. (2026)

Myrskylä, M.; Hale, J. M.; Schneider, D. C.; Mehta, N. K.:
Journals of Gerontology, Series A: Biological Sciences and Medical Sciences 79:S1, S11–S21. (2024)

Sharma, S.; Hale, J. M.; Myrskylä, M.; Kulu, H.:
Population Studies 78:1, 167–177. (2024)

Gerstorf, D.; Ram, N.; Drewelies, J.; Düzel, S.; Eibich, P.; Steinhagen-Thiessen, E.; Liebig, S.; Goebel, J.; Demuth, I.; Villringer, A.; Wagner , G. G.; Lindenberger, U.; Ghisletta, P.:
Psychological Science 34:1, 22–34. (2023)
Myrskylä, M.; Hale, J. M.; Schneider, D. C.; Mehta, N. K.:
MPIDR Working Paper WP-2023-044. (2023)

Ruiz, M.; Hu, Y.; Martikainen, P.; Bobak, M.:
Innovation in Aging 7:6, 1–13. (2023)

Sharma, S.; Hale, J. M.; Myrskylä, M.; Kulu, H.:
Demography 60:5, 1441–1468. (2023)

Hale, J. M.; Schneider, D. C.; Mehta, N. K.; Myrskylä, M.:
MPIDR Working Paper WP-2022-029. (2022)

Sharma, S.; Hale, J. M.; Myrskylä, M.; Kulu, H.:
MPIDR Working Paper WP-2022-001. (2022)

Wahl, H.-W.; Drewelies, J.; Düzel, S.; Lachman, M. E.; Smith, J.; Eibich, P.; Steinhagen-Thiessen, E.; Demuth, I.; Lindenberger, U.; Wagner , G. G.; Ram, N.; Gerstorf, D.:
Psychology and Aging 37:3, 413–429. (2022)
Hale, J. M.; Schneider, D. C.; Gampe, J.; Mehta, N. K.; Myrskylä, M.:
Epidemiology 32:5, 717–720. (2021)
Sáenz, J. L.; Díaz-Venegas, C.; Crimmins, E. M.:
Journals of Gerontology, Series B: Psychological Sciences and Social Sciences 76:4, e140–e152. (2021)
Hale, J. M.; Schneider, D. C.; Gampe, J.; Mehta, N. K.; Myrskylä, M.:
Epidemiology 31:5, 745–754. (2020)

Hale, J. M.; Schneider, D. C.; Mehta, N. K.; Myrskylä, M.:
SSM-Population Health 11:100577, 1–9. (2020)

Díaz-Venegas, C.; Downer, B.; Langa, K. M.; Wong, R.:
In: Contextualizing health and aging in the Americas: effects of space, time and place, 85–107. Cham: Springer. (2019)

Díaz-Venegas, C.; Semper-Ternent, R.; Michaels-Obregón, A.; Wong, R.:
Aging and Mental Health 23:11, 1586–1594. (2019)

Gerstorf, D.; Drewelies, J.; Düzel, S.; Smith, J.; Wahl, H.-W.; Schilling, O. K.; Kunzmann, U.; Siebert, J. S.; Katzorreck, M.; Eibich, P.; Demuth, I.; Steinhagen-Thiessen, E.; Wagner , G. G.; Lindenberger, U.; Heckhausen, J.; Ram, N.:
Psychology and Aging 34:8, 1090–1108. (2019)
Díaz-Venegas, C.; Schneider, D. C.; Myrskylä, M.; Mehta, N. K.:
PLOS One 12:12, e0190488–e0190488. (2017)

Hale, J. M.:
Demography 54:6, 2125–2158. (2017)
