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Health, Functional Ability, and Environmental Quality as Predictors of Life Satisfaction in Physically Active Older Adults

Author

Listed:
  • Rafael Zapata-Lamana

    (Escuela de Educación, Universidad de Concepción, Los Ángeles 4440000, Chile)

  • Felipe Poblete-Valderrama

    (Departamento de Ciencias del Deporte y Acondicionamiento Físico, Facultad de Educación, Universidad Católica de la Santísima Concepción, Concepción 4030000, Chile)

  • Andres Ledezma-Dames

    (Centro de Investigación en Gerontología Aplicada (CIGAP), Facultad de Salud, Universidad Santo Tomás, Antofagasta 1240000, Chile)

  • Patricia Pavón-León

    (Instituto de Ciencias de la Salud, Universidad Veracruzana, Xalapa 91090, Mexico)

  • Ana María Leiva

    (Instituto de Anatomía, Histología y Patología, Facultad de Medicina, Universidad Austral de Chile, Valdivia 5090000, Chile)

  • María Trinidad Fuentes-Alvarez

    (División Académica de Ciencias de la Salud, Universidad Juárez Autónoma de Tabasco, Villahermosa 86150, Mexico)

  • Igor Cigarroa

    (Escuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Los Ángeles 4440000, Chile)

  • María Antonia Parra-Rizo

    (Faculty of Health Sciences, Valencian International University—VIU, 46002 Valencia, Spain
    Department of Health Psychology, Faculty of Social and Health Sciences, Campus of Elche, Miguel Hernandez University (UMH), 03202 Elche, Spain)

Abstract

The factors that make physically active older people feel more satisfied in adulthood have not been extensively studied. For this reason, the aim of this work has been to evaluate, among physically active older adults, whether the level of physical activity they perform and the factors that foster their quality of life can be predictors of their satisfaction with life. For this, the IPAQ, CUBRECAVI and LSI-A scales were applied to a sample of 397 people between 61 and 93 years old (M = 69.65, SD = 4.71). The results show that health (β = 0.373), functional abilities (β = 0.159) and environmental quality (β = 0.105) are predictors of satisfaction in the most active adults. In conclusion, neither physical activity (to a greater or lesser extent) nor income are predictive variables of satisfaction with life but, rather, predict some of the components that cement their quality of life (health, fending for themselves and the home environment).

Suggested Citation

  • Rafael Zapata-Lamana & Felipe Poblete-Valderrama & Andres Ledezma-Dames & Patricia Pavón-León & Ana María Leiva & María Trinidad Fuentes-Alvarez & Igor Cigarroa & María Antonia Parra-Rizo, 2022. "Health, Functional Ability, and Environmental Quality as Predictors of Life Satisfaction in Physically Active Older Adults," Social Sciences, MDPI, vol. 11(6), pages 1-11, June.
    • Handle: RePEc:gam:jscscx:v:11:y:2022:i:6:p:265-:d:841366
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    References listed on IDEAS

    as
    1. Kazumasa Yamada, 2019. "An Acquaintance with An Aging Society," Social Sciences, MDPI, vol. 8(4), pages 1-27, April.
    2. António Fragoso & Josélia Fonseca, 2022. "Combating Ageism through Adult Education and Learning," Social Sciences, MDPI, vol. 11(3), pages 1-12, March.
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    Cited by:

    1. Agata Wypych-Ślusarska & Natalia Majer & Karolina Krupa-Kotara & Ewa Niewiadomska, 2023. "Active and Happy? Physical Activity and Life Satisfaction among Young Educated Women," IJERPH, MDPI, vol. 20(4), pages 1-12, February.
    2. Zhao Zhang & Yihua Mao & Yueyao Shui & Ruyu Deng & Yuchen Hu, 2022. "Do Community Home-Based Elderly Care Services Improve Life Satisfaction of Chinese Older Adults? An Empirical Analysis Based on the 2018 CLHLS Dataset," IJERPH, MDPI, vol. 19(23), pages 1-15, November.
    3. Wen Xiang & Jianzhong Gao, 2023. "From Agricultural Green Production to Farmers’ Happiness: A Case Study of Kiwi Growers in China," IJERPH, MDPI, vol. 20(4), pages 1-25, February.
    4. Elena Pirani & Maria Veronica Dorgali & Valentina Tocchioni & Alessandra Petrucci, 2024. "Housing Conditions, Neighbourhood Area and Life Satisfaction in Old Age," Econometrics Working Papers Archive 2024_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

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