Objective: To investigate 15-year changes in public awareness of the social determinants of health (SDoH) between 2007 and 2023.
Methods: A 2007 survey of 1172 Wisconsin, U.S. adults is compared to a 2023 survey of 1631 Wisconsin adults. In both surveys, respondents were asked to rate 16 factors regarding how strongly each impacts health. Regression analyses examine how demographic factors differentiate responses in both survey years.
Results: In both 2007 and 2023, the four most highly rated factors affecting health were: personal health practices, stress, health insurance, and access to affordable health care. Between 2007 and 2023, there was little or no increase, and even some decrease, in endorsement of many social determinants of health like income, education, housing, and social support. Older adults, women, and those with lower income were generally more likely to endorse the SDoH in both years. Party identification was the demographic factor that most strongly differentiated responses, with Democrats rating more highly many of the social determinants of health than either Republicans or Independents in both years. This differentiation by party identification was even stronger in 2023 than 2007.
Conclusions: Despite consistent research documenting the social determinants of health, growing health care and policy attention to the social determinants of health, and population exposure to a variety of social determinants during the COVID-19 pandemic, there is little or no increase in public recognition of the social determinants of health, and notable increasing partisan divides.
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http://dx.doi.org/10.1016/j.pmedr.2025.102965 | DOI Listing |
J Health Soc Behav
January 2025
The Pennsylvania State University, University Park, PA, USA.
In recent decades, naturalization rates among U.S. immigrants have surged as many seek citizenship to regain lost rights and protections.
View Article and Find Full Text PDFAnn Surg
January 2025
Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany.
Aim: To validate the prognostic value of the PAncreatic NeoAdjuvant MAssachusetts (PANAMA)-score and to determine its predictive ability for survival benefit derived from adjuvant treatment in patients after resection of pancreatic ductal adenocarcinoma (PDAC) following neoadjuvant FOLFIRINOX.
Background: The PANAMA-score was developed to guide prognostication in patients after neoadjuvant therapy and resection for PDAC. As this score focuses on the risk for residual disease after resection, it might also be able to select patients who benefit from adjuvant after neoadjuvant therapy.
Ann Surg
January 2025
Wisconsin Surgical Outcomes Research Program, University of Wisconsin, Madison, WI.
Objective: To understand how breast cancer patients experience the surgical decision process and identify strategies surgeons can employ to empower patients to engage in decision-making.
Background: Patient engagement in decision-making is associated with improved patient outcomes. Although, some patients prefer that their healthcare provider drive the decision, the benefits of engaging in decision-making hold true even for patients who prefer to defer to their provider.
Alzheimer Dis Assoc Disord
January 2025
Teikoku Seiyaku, Higashikagawa, Japan.
Background: We previously reported that social restrictions due to the COVID-19 pandemic led to a decline in cognitive function in patients with Alzheimer disease (AD). Here, we assessed the effects of COVID-19 restrictions on the activities of daily living (ADL) and disease severity in patients by comparing them to a control group.
Methods: We examined the impact on ADL, evaluated using disability assessment for dementia (DAD), and disease severity, evaluated using the ABC dementia scale, in patients with mild-to-moderate AD.
Cureus
December 2024
Community and Family Medicine, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.
Background Artificial Intelligence (AI) is revolutionizing medical science, with significant implications for radiology. Understanding the knowledge, attitudes, perspectives, and practices of medical professionals and residents related to AI's role in radiology is crucial for effective integration. Methods A cross-sectional survey was conducted among members of the Indian Radiology & Imaging Association (IRIA), targeting practicing radiologists and residents across academic and non-academic institutions.
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