Navigating the maze of active ageing measurement: untangling methodological and theoretical issues in the UJACAS questionnaire.

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Tác giả: Andrea Bosco, Antonella Lopez

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: Germany : Aging clinical and experimental research , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 703906

Active Ageing (AA) involves maintaining engagement in physical, social, and mental activities in older adulthood, reflecting societal values and political agendas. Despite various measurement tools, there is no universal standard. The University of Jyväskylä Active Ageing Scale (UJACAS) is increasingly used in Europe but faces inconsistencies from varying response scales across versions. This perspective paper examines these discrepancies and proposes a refined model for AA measurement, emphasizing the dimensions of motivation, ability, opportunity, and activity frequency. The goal is to improve the accuracy of AA assessments by adjusting for personal and environmental limitations, ensuring a fair evaluation that captures the complexities of ageing. The proposed adjustments to the UJACAS scoring model include recalibrating the equation to account for personal and environmental limitations, integrating motivation as a separate measure, and exploring adaptive methodologies to ensure fairer and more nuanced assessments of Active Ageing, particularly for individuals facing disabilities or obstacles. By addressing these issues, this perspective paper aims to enhance the effectiveness of AA tools for older adults. Moreover, adopting these methodological challenges has significant societal implications. Precise measurement of AA is essential for tailoring interventions to the needs of diverse older populations and for designing policies that promote inclusive, healthy and safe ageing. Enhancing the accuracy of AA assessments can inform strategies that empower older adults, mitigate disparities, and foster resilience in ageing communities. This study highlights the necessity of advancing AA measurement frameworks to support evidence-based decisions in public health and social policy.
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