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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

Author

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  • Inaihá Laureano Benincá

    (Department of Human and Social Sciences, University of Bergamo, 24129 Bergamo, Italy)

  • Maria Gattuso

    (Department of Human and Social Sciences, University of Bergamo, 24129 Bergamo, Italy)

  • Stefania Butti

    (Department of Human and Social Sciences, University of Bergamo, 24129 Bergamo, Italy)

  • Davide Caccia

    (University Sport Centre—CUS, University of Bergamo, 24044 Bergamo, Italy)

  • Francesca Morganti

    (Department of Human and Social Sciences, University of Bergamo, 24129 Bergamo, Italy
    Centre for Healthy Longevity—CHL, University of Bergamo, 24129 Bergamo, Italy)

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.

Suggested Citation

  • Inaihá Laureano Benincá & Maria Gattuso & Stefania Butti & Davide Caccia & Francesca Morganti, 2024. "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," IJERPH, MDPI, vol. 21(11), pages 1-12, November.
  • Handle: RePEc:gam:jijerp:v:21:y:2024:i:11:p:1469-:d:1513885
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    References listed on IDEAS

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    1. Caroline de Fátima Ribeiro Silva & Daniela Gonçalves Ohara & Areolino Pena Matos & Ana Carolina Pereira Nunes Pinto & Maycon Sousa Pegorari, 2021. "Short Physical Performance Battery as a Measure of Physical Performance and Mortality Predictor in Older Adults: A Comprehensive Literature Review," IJERPH, MDPI, vol. 18(20), pages 1-15, October.
    2. Fernando Fernandes & Cássio M. Turra & Eduardo L.G. Rios Neto, 2023. "World population aging as a function of period demographic conditions," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 48(13), pages 353-372.
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