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Giné-Garriga, Maria; Sansano-Nadal, Oriol; Tully, Mark A; Caserotti, Paolo; Coll-Planas, Laura; Rothenbacher, Dietrich; Dallmeier, Dhayana; Denkinger, Michael; Wilson, Jason J; Martin-Borràs, Carme; Skjødt, Mathias; Ferri, Kelly; Farche, Ana Claudia; McIntosh, Emma; Blackburn, Nicole E; Salvà, Antoni; Roqué-i-Figuls, Marta

Accelerometer-Measured Sedentary and Physical Activity Time and Their Correlates in European Older Adults: The SITLESS Study

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  • Media type: E-Article
  • Title: Accelerometer-Measured Sedentary and Physical Activity Time and Their Correlates in European Older Adults: The SITLESS Study
  • Contributor: Giné-Garriga, Maria; Sansano-Nadal, Oriol; Tully, Mark A; Caserotti, Paolo; Coll-Planas, Laura; Rothenbacher, Dietrich; Dallmeier, Dhayana; Denkinger, Michael; Wilson, Jason J; Martin-Borràs, Carme; Skjødt, Mathias; Ferri, Kelly; Farche, Ana Claudia; McIntosh, Emma; Blackburn, Nicole E; Salvà, Antoni; Roqué-i-Figuls, Marta
  • Published: Oxford University Press (OUP), 2020
  • Published in: The Journals of Gerontology: Series A, 75 (2020) 9, Seite 1754-1762
  • Language: English
  • DOI: 10.1093/gerona/glaa016
  • ISSN: 1079-5006; 1758-535X
  • Origination:
  • Footnote:
  • Description: <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background</jats:title> <jats:p>Sedentary behavior (SB) and physical activity (PA) are important determinants of health in older adults. This study aimed to describe the composition of accelerometer-measured SB and PA in older adults, to explore self-reported context-specific SB, and to assess sociodemographic and functional correlates of engaging in higher levels of SB in participants of a multicenter study including four European countries.</jats:p> </jats:sec> <jats:sec> <jats:title>Method</jats:title> <jats:p>One thousand three hundred and sixty community-dwelling older adults from the SITLESS study (61.8% women; 75.3 ± 6.3 years) completed a self-reported SB questionnaire and wore an ActiGraph accelerometer for 7 days. Accelerometer-determined compositional descriptive statistics were calculated. A fixed-effects regression analysis was conducted to assess the sociodemographic (country, age, sex, civil status, education, and medications) and functional (body mass index and gait speed) correlates.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>Older adults spent 78.8% of waking time in SB, 18.6% in light-intensity PA, and 2.6% in moderate-to-vigorous PA. Accelerometry showed that women engaged in more light-intensity PA and walking and men engaged in higher amounts of moderate-to-vigorous PA. Watching television and reading accounted for 47.2% of waking time. Older age, being a man, single, taking more medications, being obese and overweight, and having a slower gait speed were statistically significant correlates of more sedentary time.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>The high amount of SB of our participants justifies the need to develop and evaluate interventions to reduce sitting time. A clinically relevant change in gait speed can decrease almost 0.45 percentage points of sedentary time. The distribution of context-specific sedentary activities by country and sex showed minor differences, albeit worth noting.</jats:p> </jats:sec>