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Individual and country-level factors associated with self-reported and accelerometer-based physical activity in old age: a cross-national analysis of European countries

Author

Listed:
  • Tiia Kekäläinen

    (University of Jyväskylä)

  • Martina Luchetti

    (Florida State University)

  • Damaris Aschwanden

    (Florida State University)

  • Angelina R. Sutin

    (Florida State University)

  • Antonio Terracciano

    (Florida State University)

Abstract

This study aimed to investigate associations between individual-level (personality traits, quality of life) and country-level (gross domestic product per capita, number of policies and action plans for physical activity) factors with self-reported and accelerometer-based physical activity and cross-level interactions among European countries. Based on the Survey of Health, Ageing and Retirement in Europe (SHARE) from 2019–2020, self-reported physical activity (N = 46,617 from 27 countries) and accelerometer-based average acceleration and intensity gradient (N = 855 from 10 countries) were analyzed. Mixed-model regressions with two levels (individuals nested within countries) were used for analyses. Between countries differences accounted for relatively small portions of the variability in self-reported physical activity (intraclass correlation, ICC = 7.5%), average acceleration (ICC = 3.5%), and intensity gradient (ICC = 1.9%). There were more associations between individual- and country-level factors and self-reported physical activity than with accelerometer-based physical activity. The association between individual-level variables and accelerometer-based physical activity did not differ between countries. Cross-level interactions suggested that associations between some personality traits and self-reported physical activity were stronger in countries with lower GDP. Both individual- and country-level factors are related to participation in more intensive physical activities. Adults with less resilient personality traits living in countries with lower resources are at the highest risk for physical inactivity.

Suggested Citation

  • Tiia Kekäläinen & Martina Luchetti & Damaris Aschwanden & Angelina R. Sutin & Antonio Terracciano, 2022. "Individual and country-level factors associated with self-reported and accelerometer-based physical activity in old age: a cross-national analysis of European countries," European Journal of Ageing, Springer, vol. 19(4), pages 1529-1542, December.
    • Handle: RePEc:spr:eujoag:v:19:y:2022:i:4:d:10.1007_s10433-022-00737-8
    DOI: 10.1007/s10433-022-00737-8
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    References listed on IDEAS

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    1. Thomas Hale & Noam Angrist & Rafael Goldszmidt & Beatriz Kira & Anna Petherick & Toby Phillips & Samuel Webster & Emily Cameron-Blake & Laura Hallas & Saptarshi Majumdar & Helen Tatlow, 2021. "A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)," Nature Human Behaviour, Nature, vol. 5(4), pages 529-538, April.
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