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Impact of Activity Tracker Usage in Combination with a Physical Activity Intervention on Physical and Cognitive Parameters in Healthy Adults Aged 60+: A Randomized Controlled Trial

Author

Listed:
  • Tina Auerswald

    (Institute of Human Movement Science and Health, Faculty of Behavioral and Social Sciences, Chemnitz University of Technology, 09126 Chemnitz, Germany)

  • Anna Hendker

    (Department of Neuromotor Behavior and Exercise, Institute of Sport and Exercise Sciences, University of Muenster, 48149 Muenster, Germany)

  • Tiara Ratz

    (Department of Psychology & Methods, Jacobs University Bremen GmbH, 28759 Bremen, Germany)

  • Sonia Lippke

    (Department of Psychology & Methods, Jacobs University Bremen GmbH, 28759 Bremen, Germany)

  • Claudia R. Pischke

    (Institute of Medical Sociology, Centre for Health and Society, Medical Faculty, Heinrich Heine University Duesseldorf, 40225 Duesseldorf, Germany)

  • Manuela Peters

    (Leibniz Institute for Prevention Research and Epidemiology–BIPS, 28359 Bremen, Germany)

  • Jochen Meyer

    (OFFIS–Institute for Information Technology, 26121 Oldenburg, Germany)

  • Kai von Holdt

    (OFFIS–Institute for Information Technology, 26121 Oldenburg, Germany)

  • Claudia Voelcker-Rehage

    (Institute of Human Movement Science and Health, Faculty of Behavioral and Social Sciences, Chemnitz University of Technology, 09126 Chemnitz, Germany
    Department of Neuromotor Behavior and Exercise, Institute of Sport and Exercise Sciences, University of Muenster, 48149 Muenster, Germany)

Abstract

Regular physical activity (PA) is of central importance for healthy aging and has a well-known impact on helping older adults maintain their cognitive and physical health. Thus, we aimed to compare the effectiveness of two physical activity interventions primarily conducted at home (print-based or web-based vs. web-based plus the use of an activity tracker) on cognitive and physical health parameters in older adults. Data of participants ( n = 551, 60–80 years) were analyzed after being randomly allocated to a waitlist control group (CG), a web-based or print-based intervention group (IG) or a web-based intervention group that also included the use of an activity tracker (AG). Measured parameters were grip strength, endurance (two-minute step test), gait speed (four-meter walk test), cognition (Simon task; balanced integration score (BIS), reaction time and accuracy) and physical self-concept (Physical Self-Description Questionnaire (PSDQ)). We found the highest effect sizes in all measured dimensions for AG (grip strength, endurance, gait speed, reaction time, physical self-concept), followed by IG (endurance, gait speed, reaction time, physical self-concept) and CG (endurance, gait speed, BIS). Findings suggest that a combined web-based and activity tracker intervention may improve physical functions, physical self-concept, and cognition in community-dwelling older adults.

Suggested Citation

  • Tina Auerswald & Anna Hendker & Tiara Ratz & Sonia Lippke & Claudia R. Pischke & Manuela Peters & Jochen Meyer & Kai von Holdt & Claudia Voelcker-Rehage, 2022. "Impact of Activity Tracker Usage in Combination with a Physical Activity Intervention on Physical and Cognitive Parameters in Healthy Adults Aged 60+: A Randomized Controlled Trial," IJERPH, MDPI, vol. 19(7), pages 1-20, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:7:p:3785-:d:777022
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    References listed on IDEAS

    as
    1. Christina Musalek & Sylvia Kirchengast, 2017. "Grip Strength as an Indicator of Health-Related Quality of Life in Old Age—A Pilot Study," IJERPH, MDPI, vol. 14(12), pages 1-12, November.
    2. Inwoo Kim & Jihoon Ahn, 2021. "The Effect of Changes in Physical Self-Concept through Participation in Exercise on Changes in Self-Esteem and Mental Well-Being," IJERPH, MDPI, vol. 18(10), pages 1-10, May.
    3. Ming-Yu Claudia Wong & Pak-Kwong Chung & Ka-Man Leung, 2021. "Examining the Exercise and Self-Esteem Model Revised with Self-Compassion among Hong Kong Secondary School Students Using Structural Equation Modeling," IJERPH, MDPI, vol. 18(7), pages 1-19, April.
    4. Anna Hendker & Malte Jetzke & Eric Eils & Claudia Voelcker-Rehage, 2020. "The Implication of Wearables and the Factors Affecting Their Usage among Recreationally Active People," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
    5. Javier Conde-Pipó & Eduardo Melguizo-Ibáñez & Miguel Mariscal-Arcas & Félix Zurita-Ortega & Jose Luis Ubago-Jiménez & Irwin Ramírez-Granizo & Gabriel González-Valero, 2021. "Physical Self-Concept Changes in Adults and Older Adults: Influence of Emotional Intelligence, Intrinsic Motivation and Sports Habits," IJERPH, MDPI, vol. 18(4), pages 1-15, February.
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