Background: Factors influencing health behaviors among older adults experiencing cognitive changes are important to understand in order to successfully promote preventative public health programs for Alzheimer's disease and related dementias (ADRD). The Health Belief Model (HBM) has been utilized to investigate and predict health behaviors based on an individuals' perceptions and beliefs. The aim of our study was to investigate the contribution of perceived threat (risk and worry) to individuals seeking care for cognitive changes.
Method: Participants of this study were 279 adults (M age = 73.8, range 60-96; 54% female, 89% white, M education (years) = 14.9) recruited from the community, without neurocognitive diagnoses, and residing in the United States. They completed an online survey through Qualtrics. Participants rated their risk for developing ADRD and their worry about developing ADRD on 5-point scales (risk: 1 = much lower than average to 5 = much higher than average; worry: 1 = not at all worried to 5 = very worried). They also answered questions about whether they noticed difficulties with their memory and cognition (yes/no), and whether they had seen a doctor for these changes (yes/no).
Result: Following the HBM, perceived threat is separated into two variables: perceived susceptibility (risk) averaged M = 2.48 (58.4% rating in the 3-5 range) and perceived severity (worry) averaged M = 2.05 (25.8% rating in the 3-5 range). There were 101 participants (36%) who endorsed perceiving difficulties with their memory or cognition. Of these, only 3 participants (M age = 70.3, range 70-71; 2 females, M education (years) = 14.7) said 'yes' to seeing their doctor about memory or cognitive difficulties (3%), preempting further predictive analyses.
Conclusion: We found that despite endorsing memory/cognitive difficulties, and reporting above average risk and worry about ADRD, an exceedingly small number of adults aged ≥60 had consulted their doctor. Our findings align with previous research reporting that medical help-seeking does not keep apace with perceived susceptibility to ADRD and worry in older adults. As a result, our understanding of factors that influence health behaviors, such as seeking care early on, remains limited.
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http://dx.doi.org/10.1002/alz.093029 | DOI Listing |
Creat Nurs
January 2025
Society and Ageing Research Lab, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Educational programs for health-care providers increasingly implement culturally sensitive care. Clear methods for educating students in cultural awareness are still lacking. Research indicates that simply increasing knowledge on ethnicity, culture, or migration does not improve culturally sensitive behavior and can foster stereotypes.
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January 2025
Alzheimer Centrum Limburg, Mental Health and Neuroscience Research Institute (MHeNs), Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, Netherlands.
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J Womens Health (Larchmt)
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Department of Orthopaedic Surgery and Rehabilitation, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
The attrition of health care professionals from institutions has historically been high, with reports of higher rates in women than men. High attrition jeopardizes the institution's financial stability, quality of patient care, and scholarly contributions to advancing health care. The disproportionate loss of women reduces the diversity of perspectives and skills needed to meet patient needs.
View Article and Find Full Text PDFSSM Popul Health
March 2025
School of Foreign Languages, Chongqing Technology and Business University, Chongqing, 400067, China.
The digital infrastructure has profoundly changed people's daily lives and health outcomes. However, the causal effect of digital infrastructure on cognitive health remains unclear. The study employs the "Broadband China" policy as a reliable proxy for digital infrastructure, using the China Health and Retirement Longitudinal Study (CHARLS) five waves panel data from 2011 to 2020 and a staggered difference-in-differences (DID) method to investigate the causal impact of digital infrastructure construction on the cognitive health in Chinese older adults.
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