PUBLICATIONS
Browse all publications from The Interbeing Lab.
| Title | Citation | Short Description | Full Text |
|---|---|---|---|
| Screen Use Measurement Tools: A Mapping of Instruments, Gaps, and Future Directions | Shaleha, R., Roque, N., Andrews, H., Calfee, K., & Lee, S. (2026). Screen Use Measurement Tools: A Mapping of Instruments, Gaps, and Future Directions. Cyberpsychology, Behavior, and Social Networking, 29(3), 140-150. https://doi.org/10.1177/21522715261417288 | This article discusses the development and evaluation of screen use measurement tools. It highlights their strengths, limitations, and research gaps. It emphasizes the need for more accurate, context-aware, and inclusive instruments to better understand how people use digital devices across different ages and life contexts. | Full Text › |
| Screen Time in Context: Toward a Theoretical Model of Digital Engagement Across the Lifespan | Shaleha, R., & Roque, N. (2026). Screen time in context: Toward a theoretical model of digital engagement across the lifespan. Developmental Psychology. Advance online publication. https://doi.org/10.1037/dev0002202 | This article proposes a lifespan-oriented theoretical model for understanding digital engagement beyond screen time duration alone. It highlights how mode of engagement, purpose, timing and context, content structure, and emotional valence shape cognitive, emotional, and developmental outcomes across different life stages. | Full Text › |
| Daily Stress, Cortisol Dysregulation, and Screen Time in Midlife and Older Adults: Findings from the MIDUS Study. | Shaleha, R., Almeida, D., & Roque, N. (2025). Daily Stress, Cortisol Dysregulation, and Screen Time in Midlife and Older Adults: Findings from the MIDUS Study. Innovation in Aging, 9(Suppl 2), igaf122.3065. https://doi.org/10.1093/geroni/igaf122.3065 | This study examined how daily stress and cortisol dysregulation relate to screen-time behaviors among midlife and older adults, using data from the MIDUS Study. It highlights the complex relationship among stress regulation, aging, and everyday media use. | Full Text › |
| Psychosocial Problems in People Living with Thalassemia: A Systematic Review | Wangi, K., Shaleha, R., Wijaya, E., & Birriel, B. (2025). Psychosocial Problems in People Living with Thalassemia: A Systematic Review. SAGE Open Nursing, 11, 23779608251323811. https://doi.org/10.1177/23779608251323811 | This systematic review summarizes psychosocial challenges among people with thalassemia, including anxiety, adherence, social and educational difficulties, coping, behavioral problems, adaptive functioning, and family relationships, while calling for clearer definitions of psychosocial problems in thalassemia care. | Full Text › |
| From Screens to Cognition: A Scoping Review of the Impact of Screen Time on Cognitive Function in Midlife and Older Adults | Shaleha, R., & Roque, N. (2025). From screens to cognition: A scoping review of the impact of screen time on cognitive function in midlife and older adults. Digital Health, 11, 20552076251343989. https://doi.org/10.1177/20552076251343989 | This scoping review examines screen time and cognitive function in midlife and older adults. It also identifies differences between passive and active screen use and key gaps in current research. | Full Text › |
| No Phone, More Stress: Exploring Anxiety as the Mediator between Nomophobia and Stress | Shaleha, R., & Roque, N. (2024). NO PHONE, MORE STRESS: EXPLORING ANXIETY AS THE MEDIATOR BETWEEN NOMOPHOBIA AND STRESS. Innovation in Aging, 8(Suppl 1), 1147. https://doi.org/10.1093/geroni/igae098.3677 | This study examines whether anxiety helps explain the association between nomophobia and stress. It focuses on how distress related to being without one’s phone may be linked to broader psychological stress through anxiety-related processes. | Full Text › |
| Leveling Up Adherence Prediction: Motivation’s Influence on Engagement with Tech-Based Cognitive Interventions | Shaleha, R., Roque, N., & Harrell, E. (2024). LEVELING UP ADHERENCE PREDICTION: MOTIVATION’S INFLUENCE ON ENGAGEMENT WITH TECH-BASED COGNITIVE INTERVENTIONS. Innovation in Aging, 8(Suppl 1), 1106–1107. https://doi.org/10.1093/geroni/igae098.3553 | This study how motivational factors may predict engagement and adherence in technology-based cognitive interventions. It highlights the importance of understanding individual differences that shape sustained participation in digital cognitive training or intervention programs. | Full Text › |
| Cognitive Performance in the Digital Era: Generational Differences, Stress, and Distraction’s Impact on Cognitive Performance | Shaleha, R. R. & Roque, N. (2024). Cognitive Performance in the Digital Era: Generational Differences, Stress, and Distraction's Impact on Cognitive Performance. International Journal of Cyber Behavior, Psychology and Learning, 14(1), 1-14. https://doi.org/10.4018/IJCBPL.341788 | This article discusses how generational differences, stress, and digital distractions affect cognitive performance in the digital era. The study compares Gen X, Millennials, and Gen Z, showing that stress and age-related factors influence how easily people become distracted during cognitive tasks. | Full Text › |