The current literature presents important limitations, including heterogeneity across interventions and limited use of objective measures of sleep

The gap

Evidence profile

Sourced from the stated challenges and stated research gap and future work of the source papers, classified as general, spanning 2 journals.

Supporting evidence — 4 representative gaps

• Exercise, Sleep, and Cognitive Performance in Older Adults: A Structured Review of Mechanisms and Clinical Implications (2026) · Medical Sciences · doi

  The challenge is that heterogeneity across interventions complicates direct comparison. The challenge is that sleep was assessed predominantly by using subjective questionnaires, with only limited use of objective measures. The challenge is that cognitive outcomes were frequently measured using global screening tools, which may lack sensitivity to subtle domain-specific change.

  generalstated challenges
  Keywords: challenge heterogeneity across interventions complicates direct comparison sleep
• Objective Sleep Measures and Cognition in Middle-Aged and Older Adults: A Cross-Sectional and Longitudinal Analysis in the ALBION Study (2026) · Medical Sciences · doi

  Many previous studies were cross-sectional, relied on brief global screening instruments, or examined single sleep parameters in isolation. There is a need for studies that use a combination of cross-sectional and longitudinal analyses to examine the relationship between sleep and cognitive aging. The current study aims to address this gap by using a comprehensive assessment of sleep and cognitive function and a longitudinal design.

  generalstated research gap
  Keywords: many previous studies were cross-sectional relied brief global
• Exercise, Sleep, and Cognitive Performance in Older Adults: A Structured Review of Mechanisms and Clinical Implications (2026) · Medical Sciences · doi

  The current literature presents important limitations, including heterogeneity across interventions and limited use of objective measures of sleep. The gap is that relatively little is known about whether specific aspects of sleep architecture contribute to exercise-related cognitive benefits. The gap is that long-term sustainability of exercise interventions remains unclear.

  generalstated research gap
  Keywords: current literature presents important limitations including heterogeneity across
• Older Computer Gamers and Non-Gamers in the United Kingdom: Findings From the UK Biobank (2026) · Research on Aging · doi

  Cerasuolo, M., Conte, F., Cellini, N., Fusco, G., Giganti, F., Malloggi, S., & Ficca, G. (2019). The effect of complex cognitive training on subsequent night sleep. Journal of Sleep Derboven, J., Van Gils, M., & De Grooff, D. (2012). Designing for collaboration: A study in intergenerational social game design. Universal Access in the Information Society, 11(1), 57–65. https://doi.org/10.1007/s10209-011-0233-0 De Rosa, O., Baker, F. C., Barresi, G., Conte, F., Ficca, G., & de Zambotti, M. (2024). Video gaming and sleep in adults: A systematic review. Sleep Medicine, 124, 91–105. https://doi. org/10.1016/j.sleep.2024.09.015 Exelmans, L., & Van den Bulck, J. (2015). Sleep quality is nega- tively related to video gaming volume in adults. Journal of Sleep Research, 24(2), 189–196. https://doi.org/10.1111/jsr. 12255 Fiske, S. T., Cuddy, A. J., Glick, P., & Xu, J. (2002). A model of (often mixed) stereotype content: Competence and warmth respectively follow from perceived status and competition. Journal of Personality and Social Psychology, 82(6), 878–902. https://doi.org/10.1037/0022-3514.82.6.878 Forman, G. N., & Holmes, M. W. (2023). Upper-body pain in gamers: An analysis of demographics and gaming habits on gaming-related pain and discomfort. Journal of Electronic Gaming and Esports, 1(1), 1–8. https://doi.org/10.1123/jege. 2022-0018 Fry, A., Littlejohns, T. J., Sudlow, C., Doherty, N., Adamska, L., Sprosen, T., Collins, R., & Allen, N. E. (2017). Comparison of sociodemographic and health-related characteristics of UK Biobank participants with those of the general population. American Journal of Epidemiology, 186(9), 1026–1034. https:// doi.org/10.1093/aje/kwx246 Gabbiadini, A., Sagioglou, C., & Greitemeyer, T. (2018). Does Pok´emon Go lead to a more physically active life style? 12 Research on Aging 0(0) Computers in Human Behavior, 84, 258–263. https://doi.org/ 10.1016/j.chb.2018.03.005 Gonz´alez-Rocha, A., Mendez-Sanchez, L., Ort´ız-Rodr´ıguez, M. A., & Denova-Guti´errez, E. (2022). Effect of exercise on muscle mass, fat mass, bone mass, muscular strength and physical performance in community dwelling older adults: Systematic review and meta-analysis. Aging and Disease, 13(5), 1421–1435. https://doi.org/10.14336/AD.2022.0215 Hall, A. K., Chavarria, E., Maneeratana, V., Chaney, B. H., & Bernhardt, J. M. (2012). Health benefits of digital videogames for older adults: A systematic review of the literature. Games for Health, 1(6), 402–410. https://doi.org/10.1089/g4h.2012.0046 Harvey, J. A., Chastin, S. F., & Skelton, D. A. (2013). Prevalence of sedentary behavior in older adults: A systematic review. In- ternational Journal of Environmental Research and Public Health, 10(12), 6645–

  generalfuture workevidence 5/5
  Keywords: https sleep journal gaming adults systematic review health related mass older conte ficca effect social

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