Introduction: Throughout the COVID-19 pandemic, the need to address digital inclusion and social well-being for older adults was particularly apparent for those from disadvantaged communities. This pilot program provided access to technology and intergenerational mentorship to older adult participants interested in receiving and learning how to utilize an iPad. Pre/post-changes were examined for social well-being in the areas of quality of life, social isolation, and loneliness.
Methods: This study conducted pre- and post-surveys with older participants ( = 145) from five disadvantaged communities in the United States utilizing standardized measures. One-on-one interviews were conducted post-program ( = 98) to examine participants' perceptions of the program and evaluate its impact on social measures.
Results: The study sample included older adults (Mean age = 72.3) who were mostly lower income (82.3%) and self-reported as Black (13.6%), Hispanic (21.7%), and White (56.5%). Significant differences were identified in participant pre/post-survey scores for social isolation, loneliness, and a global measure of quality of life. Qualitative analyses suggest improvements in various aspects of social well-being. Themes showed that participants believed the program contributed to (1) enhanced mood and mental health, (2) improved quality of life, (3) sense of purpose and feelings of being less alone, (4) ability to use video calling to connect with others; and (5) ability to more freely use email, texting, and messaging to communicate with others.
Discussion: This research demonstrates that this pilot program seemed to contribute to reduced social isolation and loneliness for participants, and participants stated more positive social well-being following program participation. However, future research with larger samples is needed to expand upon these findings. Future studies will examine the pathways between technology improvements and social well-being and examine group differences.
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http://dx.doi.org/10.3389/fpubh.2024.1341713 | DOI Listing |
J Med Internet Res
January 2025
Center for Community-Engaged Artificial Intelligence, School of Science & Engineering, Tulane University, New Orleans, LA, United States.
There is a critical need for community engagement in the process of adopting artificial intelligence (AI) technologies in public health. Public health practitioners and researchers have historically innovated in areas like vaccination and sanitation but have been slower in adopting emerging technologies such as generative AI. However, with increasingly complex funding, programming, and research requirements, the field now faces a pivotal moment to enhance its agility and responsiveness to evolving health challenges.
View Article and Find Full Text PDFJ Med Microbiol
January 2025
Departamento de Bioqumica e Imunologia, Instituto de Cincias Biolgicas, Universidade Federal de Minas Gerais.
Apolipoprotein E (ApoE), especially the ApoE4 isotype, is suggested to influence the severity of respiratory viral infections; however, this association is still unclear. The presence of allele ε4 impacts the development of flu-like syndromes. This study aimed to evaluate the impact of the Apo E4 isoform on the severity and duration of flu-like syndromes, including the coronavirus disease COVID-19.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Importance: A substantial number of individuals worldwide experience long COVID, or post-COVID condition. Other postviral and autoimmune conditions have a female predominance, but whether the same is true for long COVID, especially within different subgroups, is uncertain.
Objective: To evaluate sex differences in the risk of developing long COVID among adults with SARS-CoV-2 infection.
JAMA Psychiatry
January 2025
ESRC Centre for Society and Mental Health, King's College London, London, United Kingdom.
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