Foundational Works
- Aichele, S., Rabbitt, P., & Ghisletta, P. (2016). Think fast, feel fine, live long: A 29-year study of cognition, health, and survival in middle-aged and older adults. Psychological Science, 27 (4), 518-529
- Aichele, S., Ghisletta, P., Corley, J., Pattie, A., Taylor, A. M., Starr, J. M., & Deary, I. J. (2018). Fluid intelligence predicts change in depressive symptoms in later life: The Lothian Birth Cohort 1936. Psychological Science, 29 (12), 1984–1995.
- Aichele, S., Cekic, S., Rabbitt, P., & Ghisletta, P. (2021). Cognition-mortality associations are more pronounced when estimated jointly in longitudinal and time-to-event models. Frontiers in Psychology.
- Handing, E., Strobl, C., Jiao, Y., Feliciano, L., & Aichele, S. (2022). Predictors of depression among middle-aged and older men and women in Europe: A machine learning approach. The Lancet Regional Health–Europe, 18.
Selected Recent Publications
- Tseng, H-Y., Aichele, S., Schilling, O., Wahl, H-W., & Diehl, M. (2026). Are health and negative affect decoupled in late adulthood? The moderating role of self-perceptions of aging. Journal of Aging and Health.
- Gerstorf, D., Aichele, S., Lindenberger, U., Rabbitt, P., & Ghisletta, P. (2025). Little to no evidence for historical improvements in verbal learning among older adults. Psychology and Aging.
- Ghisletta, P., Aichele, S., Gerstorf, D., Carollo, A., & Lindenberger, U. (2025). Verbal fluency selectively predicts survival in old and very old age. Psychological Science, 36(2), 87–101.
- Aichele, S. (2024). Predictors of anxiety in middle-aged and older European adults: A machine learning comparative study. Social Sciences, 13(11), 623.
- Aichele, S., Payton, A., Robinson, A. C., & Rabbitt, P. (2024). Occupation-related differences in cognitive aging: Comparative effects of job type, skill level, and education. Intelligence, 107, 101877.
- Aichele, S. R. (2024). Cognitive reserve as residual variance in cognitive performance: Latent dimensionality, correlates, and dementia prediction. Journal of the International Neuropsychological Society, 30(8), 746–754
- Borella, E., Ghisletta, P., Carbone, E., & Aichele, S. (2023). The Current and Retrospective Cognitive Reserve (2CR) Survey and its relationship with cognitive and mood measures. European Journal of Aging, 20(1).
- Cekic, S., Aichele, S., Brandmaier, A. M., Köhncke, Y., & Ghisetta, P. (2021). A tutorial for joint modeling of longitudinal and time-to-event data in R. Quantitative and Computational Methods in Behavioral Sciences.
- Aschwanden, D., Aichele, S., Ghisletta, P., Terracciano, A., Kliegel, M., Sutin, A. R., Brown, J., & Allemand, M. (2020). Predicting cognitive impairment and dementia: A machine learning approach. Journal of Alzheimer’s Disease, 75 (3), 717–728.
- Aichele, S., & Ghisletta, P. (2019). Memory deficits precede increases in depressive symptoms in later adulthood. Journals of Gerontology Series B: Psychological Sciences, 74 (6), 943–953. gbx183