Research Symposium
25th annual Undergraduate Research Symposium, April 1, 2025
David Angarita Poster Session 4: 3:00 pm - 4:00 pm/ Poster #148

BIO
Hello! My name is David Angarita, and I am currently studying Biology on the pre-med track. I am passionate about healthcare and doing research in relation to deeper neurological understandings. I am detail-oriented, compassionate, and dedicated to making a positive impact.
The Relationship Between ICT Use and Age-Related Cognitive Decline in Older Adults: A Longitudinal Meta-Analysis
Authors: David Angarita, Dorota Kossowska-KuhnStudent Major: Biology
Mentor: Dorota Kossowska-Kuhn
Mentor's Department: Department of Psychology Mentor's College: College of Arts and Science Co-Presenters: Malena Edu
Abstract
As the global population ages, maintaining cognitive health is becoming increasingly important. This study explores the link between information communication technology (ICT) use and age-related cognitive decline in cognitively healthy older adults aged 50 and above. While some research suggests ICT use may improve cognition, there is no clear consensus on its long-term effects. To better understand this relationship, we conducted a meta-analysis of longitudinal studies that track ICT use and cognitive function over time. Using Covidence software, we systematically reviewed existing research, extracted key data, and performed statistical analyses to identify trends. Although our analysis is still ongoing, early results suggest that ICT use is associated with better cognitive function in older adults. These findings indicate that technology could play a role in supporting cognitive health as people age. However, more research is necessary to confirm this connection and determine whether ICT engagement could be a practical way to slow or prevent age-related cognitive decline. As technology continues to shape daily life, understanding its impact on aging and brain health could have significant implications for public health and future aging populations.
Keywords: ICT Longitudinal use, meta-analysis