Segregating the distinct effects of sedentary behaviour and physical activity on older adults’ cardiovascular profile: Part 1- Regression model approach.

Declan John Ryan, Jorgen Wullems, Georgina Stebbings, Christopher Morse, Claire Stewart, Gladys Onambele-Pearson

Research output: Contribution to JournalArticle

Abstract

BACKGROUND:Physical behavior [PB, physical activity (PA), and sedentary behavior (SB)] can adjust cardiovascular mortality risk in older adults. The aim of this study was to predict cardiovascular parameters (CVPs) using 21 parameters of PB.METHODS:Participants [n = 93, 73.8 (6.23) y] wore a thigh-mounted accelerometer for 7 days. Phenotype of the carotid, brachial, and popliteal arteries was conducted using ultrasound.RESULTS:Sedentary behavior was associated with one of the 19 CVPs. Standing and light-intensity PA was associated with 3 and 1 CVP, respectively. Our prediction model suggested that an hourly increase in light-intensity PA would be negatively associated with popliteal intima-media thickness [0.09 mm (95% confidence interval, 0.15 to 0.03)]. sMVPA [moderate-vigorous PA (MVPA), accumulated in bouts <10 min] was associated with 1 CVP. 10MVPA (MVPA accumulated in bouts ≥10 min) had no associations. W50% had associations with 3 CVP. SB%, alpha, true mean PA bout, daily sum of PA bout time, and total week 10MVPA each were associated with 2 CVP.CONCLUSIONS:Patterns of PB are more robust predictors of CVP than PB (hours per day). The prediction that popliteal intima-media thickness would be negatively associated with increased standing and light-intensity PA engagement suggests that older adults could obtain health benefits without MVPA engagement.
Original languageEnglish
Pages (from-to)499-509
Number of pages11
JournalJournal of Physical Activity and Health
Volume15
Issue number7
DOIs
Publication statusPublished - 1 Jul 2018

Keywords

  • accelerometry
  • sitting/standing
  • epidemiology
  • gerontology

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