Cognitive decline monitoring through a web-based application

Published on October 5, 2023

Imagine you have a plant in your backyard and you want to make sure it stays healthy. You check on it every day, monitoring its growth, looking for any signs of decline, and quickly addressing any issues that arise. Monitoring cognitive decline is similar, but instead of a plant, we’re talking about our precious brains! A recent study explored the possibility of using a web-based application to track cognitive decline in individuals. By analyzing data from thousands of participants, researchers found that age negatively predicts working memory – an essential cognitive function. Interestingly, they also discovered that gender plays a role in how cognitive aging affects working memory. The study suggests that computerized assessments of working memory can provide valuable insights into cognitive function as we age. However, there is still more to uncover! Future research should delve into the nature of gender effects on cognitive aging and find ways to further improve the accuracy of cognitive self-reports. If you’re curious about the fascinating world of cognitive decline monitoring, check out the full article!

Cognitive decline usually begins after individuals reach maturity, which is more evident in late adulthood. Rapid and constant cognitive screenings allow early detection of cognitive decline and motivate individuals to participate in prevention interventions. Due to accelerated technological advances, cognitive screening and training are now available to the layperson using electronic devices connected to the internet. Large datasets generated by these platforms provide a unique opportunity to explore cognitive development throughout life and across multiple naturalistic environments. However, such data collection mechanisms must be validated. This study aimed to determine whether the data gathered by commercial visuospatial and phonological working memory tests (CogniFit Inc., San Francisco, USA) confirm the well-established argument that age predicts cognitive decline. Data from 3,212 participants (2,238 females) who were 45 years old or older were analyzed. A linear regression analysis explored the relationship between age and working memory while controlling for gender, sleep quality, and physical activity (variables that are known to affect working memory). We found that age negatively predicts working memory. Furthermore, there was an interaction between age and gender for visuospatial working memory, indicating that although male participants significantly outperformed females, the relationship between age and working memory differs for females and males. Our results suggest that the computerized assessment of visuospatial and phonological working memory is sensible enough to predict cognitive functions in aging. Suggestions for improving the sensitivity of self-reports are discussed. Further studies must explore the nature of gender effects on cognitive aging.

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