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Differences among Sociodemographic Variables, Physical Fitness Levels, and Body Composition with Adherence to Regular Physical Activity in Older Adults from the EXERNET Multicenter Study

Author

Listed:
  • Fabio Jiménez-Zazo

    (PAFS Research Group, Faculty of Sports Sciences, University of Castilla-La Mancha, 45071 Toledo, Spain
    Exercise and Health in Special Population Spanish Research Net (EXERNET), 50009 Zaragoza, Spain)

  • Cristina Romero-Blanco

    (PAFS Research Group, Faculty of Sports Sciences, University of Castilla-La Mancha, 45071 Toledo, Spain
    Exercise and Health in Special Population Spanish Research Net (EXERNET), 50009 Zaragoza, Spain)

  • Esther Cabanillas

    (PAFS Research Group, Faculty of Sports Sciences, University of Castilla-La Mancha, 45071 Toledo, Spain
    Exercise and Health in Special Population Spanish Research Net (EXERNET), 50009 Zaragoza, Spain)

  • Asier Mañas

    (Exercise and Health in Special Population Spanish Research Net (EXERNET), 50009 Zaragoza, Spain
    GENUD Toledo Research Group, Faculty of Sports Sciences, University of Castilla-La Mancha, 45071 Toledo, Spain)

  • José A. Casajús

    (Exercise and Health in Special Population Spanish Research Net (EXERNET), 50009 Zaragoza, Spain
    GENUD Research Group, Department of Physiatry and Nursing, Faculty of Health Sciences, University of Zaragoza, 50009 Zaragoza, Spain
    Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), 28029 Madrid, Spain)

  • Narcís Gusi

    (Exercise and Health in Special Population Spanish Research Net (EXERNET), 50009 Zaragoza, Spain
    International Institute for Aging, 10003 Cáceres, Spain
    Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain
    CIBER of Frailty and Healthy Aging (CIBERFES), 28029 Madrid, Spain)

  • Eva Gesteiro

    (Exercise and Health in Special Population Spanish Research Net (EXERNET), 50009 Zaragoza, Spain
    ImFINE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Sciences-INEF, Universidad Politécnica de Madrid, 28040 Madrid, Spain)

  • Marcela González-Gross

    (Exercise and Health in Special Population Spanish Research Net (EXERNET), 50009 Zaragoza, Spain
    Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), 28029 Madrid, Spain
    ImFINE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Sciences-INEF, Universidad Politécnica de Madrid, 28040 Madrid, Spain)

  • José-Gerardo Villa-Vicente

    (Exercise and Health in Special Population Spanish Research Net (EXERNET), 50009 Zaragoza, Spain
    Grupo de Investigación VALFIS, Instituto de Biomedicina (IBIOMED), Facultad de Ciencias de la Actividad Física y del Deporte, Universidad de León, 24071 León, Spain)

  • Luis Espino-Toron

    (Exercise and Health in Special Population Spanish Research Net (EXERNET), 50009 Zaragoza, Spain
    Unit of Sport Medicine, Cabildo of Gran Canarias, 35019 Las Palmas de Gran Canaria, Spain)

  • Ignacio Ara

    (Exercise and Health in Special Population Spanish Research Net (EXERNET), 50009 Zaragoza, Spain
    GENUD Toledo Research Group, Faculty of Sports Sciences, University of Castilla-La Mancha, 45071 Toledo, Spain
    CIBER of Frailty and Healthy Aging (CIBERFES), 28029 Madrid, Spain)

  • Susana Aznar

    (PAFS Research Group, Faculty of Sports Sciences, University of Castilla-La Mancha, 45071 Toledo, Spain
    Exercise and Health in Special Population Spanish Research Net (EXERNET), 50009 Zaragoza, Spain
    CIBER of Frailty and Healthy Aging (CIBERFES), 28029 Madrid, Spain)

Abstract

The aim of this study was to explore the differences among between adherence to physical activity (PA) and sociodemographic variables, body composition, and physical fitness levels in older adults (>65 years). A number of 2712 participants (2086 female; 76.92%) ranging from 65 to 92 years, participated in the study. Stages of change (SoC) for PA from the transtheoretical model of change (TTM), together with different sociodemographic variables, physical fitness tests (Senior Fitness Test), and waist and hip circumferences were evaluated. Significant differences were found in age, gender, educational level, current income, physical fitness test, and body composition (all of them, p < 0.05), according to the different SoC. Greater adherence to PA practice (action and maintenance stages) was related to better academic level, higher economic income, the male gender, better results in the physical fitness test, and healthier anthropometrics perimeters. Future research is needed to identify the relationship between these variables longitudinally.

Suggested Citation

  • Fabio Jiménez-Zazo & Cristina Romero-Blanco & Esther Cabanillas & Asier Mañas & José A. Casajús & Narcís Gusi & Eva Gesteiro & Marcela González-Gross & José-Gerardo Villa-Vicente & Luis Espino-Toron &, 2022. "Differences among Sociodemographic Variables, Physical Fitness Levels, and Body Composition with Adherence to Regular Physical Activity in Older Adults from the EXERNET Multicenter Study," IJERPH, MDPI, vol. 19(7), pages 1-9, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:7:p:3853-:d:778320
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    References listed on IDEAS

    as
    1. Fabio Jiménez-Zazo & Cristina Romero-Blanco & Nuria Castro-Lemus & Alberto Dorado-Suárez & Susana Aznar, 2020. "Transtheoretical Model for Physical Activity in Older Adults: Systematic Review," IJERPH, MDPI, vol. 17(24), pages 1-14, December.
    2. Laura Gallardo-Alfaro & Maria del Mar Bibiloni & David Mateos & Lucía Ugarriza & Josep A. Tur, 2019. "Leisure-Time Physical Activity and Metabolic Syndrome in Older Adults," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
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    Cited by:

    1. Mingna Li & Bo Zhou & Bingbin Hu, 2022. "Relationship between Income and Mental Health during the COVID-19 Pandemic in China," IJERPH, MDPI, vol. 19(15), pages 1-14, July.

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