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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Factors Associated with Acceptance of Screening and Knowledge About Dementia in Older Adults in China: A
Junli Wan1, Dan Yang1, Lining Xi1
1School of Nursing, Wuhan University, 115 Donghu Road, Wuhan 430071, China.
Abstract:
Background/Objectives: Dementia is one of the leading causes of disability and dependence among older adults. Early screening may support timely intervention and risk management, contributing to better outcomes at the public health level. However, evidence relating to the factors influencing dementia screening acceptance and knowledge among older adults remains limited. This study aimed to assess dementia knowledge and screening acceptance among older adults, identify their associated factors, and explore the relationship between the two. Methods: A cross-sectional survey was conducted among 272 older adults in three Chinese communities. Data were collected using a self-administered questionnaire covering socio-demographic characteristics, dementia knowledge, and screening acceptance. The Dementia Knowledge Questionnaire and the Chinese version of the PRISM-PC scale were applied. Univariate and multivariate linear regression analyses were used. Results: The mean scores for dementia knowledge and screening acceptance were 18.86 ± 5.98 and 62.06 ± 22.18, respectively. Age and education level were negatively associated with screening acceptance. Women had higher knowledge scores than men. Income and social participation were positively associated with dementia knowledge. Knowledge level showed a weak positive correlation with screening acceptance. Conclusions: The study revealed that dementia knowledge and screening acceptance among older adults were moderate; nonetheless, both aspects warrant further improvement. Community-based efforts should prioritize health education, stigma reduction, and targeted interventions to enhance knowledge and promote proactive screening behavior.
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