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RESEARCH PAPER / 2024-11-27

Emotional Status, Motor Dysfunction, and Cognitive Functioning as Predictors of Quality of Life in Physically Engaged Community-Dwelling Older Adults: A Structural Equation Modeling Approach.

Inaihá Laureano Benincá, Maria Gattuso, Stefania Butti, Davide Caccia, Francesca Morganti

Department of Human and Social Sciences, University of Bergamo, 24129 Bergamo, Italy. · pubmed

Abstract

The demographic transition has become a reality, and it demands public policies to promote physical and mental health in aging. Group exercise emerges as a cost-effective and accessible alternative to promote active aging on a large scale, but to optimize the effectiveness of these programs, it is crucial to understand the underlying mechanisms that improve quality of life. This study aimed to explore the associations between emotional status, cognitive functioning, motor dysfunction, and their relationship with quality of life in community-dwelling older adults participating in a group physical exercise program. Structural equation modeling was used to explore these relationships in a sample of 190 older adults. Emotional state directly predicted all domains of quality of life. Motor dysfunction predicts the physical health domain of quality of life. Motor dysfunction and cognitive functioning are strongly correlated with emotional status. The fit indices of the final model are acceptable, and it demonstrates that within group-exercise dynamics, emotional status is the main component of quality-of-life promotion. Therefore, professionals designing group physical exercise programs to promote active aging should consider not only physical fitness, but also the integration of psychosocial elements, offering a holistic approach to enhancing overall well-being.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper addresses the quality of life in older adults through the lens of emotional status, cognitive functioning, and motor dysfunction, which are important factors in the context of aging. However, it primarily focuses on the psychosocial aspects of well-being rather than addressing the root causes of aging or lifespan extension. While it provides valuable insights into enhancing quality of life for older adults, its impact on the broader field of longevity research is limited, making it a solid but not groundbreaking contribution.

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