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Geropsychology Commons

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Psychology Faculty Research

Older adults

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Full-Text Articles in Geropsychology

Longitudinal Implications Of Social Integration For Age And Gender Differences In Late-Life Physical Functioning, Masahiro Toyama, Heather R. Fuller, Jonix Owino Mar 2022

Longitudinal Implications Of Social Integration For Age And Gender Differences In Late-Life Physical Functioning, Masahiro Toyama, Heather R. Fuller, Jonix Owino

Psychology Faculty Research

Social integration has documented benefits for late-life health; yet, little is known about its impacts on trajectories of physical functioning. This study examines age and gender differences in the longitudinal associations between social integration and activities of daily living (ADLs) using a hierarchical linear model with three waves of survey data collected over 4 years from the Social Integration and Aging Study (N = 400; baseline mean age = 80.3). Findings indicated some interaction effects of age, gender, and/or social integration on ADL trajectories. Among those of more advanced age, women showed greater increases in ADL limitations than men, …


Artificial Intelligence: An Interprofessional Perspective On Implications For Geriatric Mental Health Research And Care, Brenna N. Renn, Matthew Schurr, Oleg Zaslavsky, Abhishek Pratap Nov 2021

Artificial Intelligence: An Interprofessional Perspective On Implications For Geriatric Mental Health Research And Care, Brenna N. Renn, Matthew Schurr, Oleg Zaslavsky, Abhishek Pratap

Psychology Faculty Research

Artificial intelligence (AI) in healthcare aims to learn patterns in large multimodal datasets within and across individuals. These patterns may either improve understanding of current clinical status or predict a future outcome. AI holds the potential to revolutionize geriatric mental health care and research by supporting diagnosis, treatment, and clinical decision-making. However, much of this momentum is driven by data and computer scientists and engineers and runs the risk of being disconnected from pragmatic issues in clinical practice. This interprofessional perspective bridges the experiences of clinical scientists and data science. We provide a brief overview of AI with the main …