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

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Light
Popliteal Artery
Brachial Artery
Insurance Benefits
Thigh
Carotid Arteries
Confidence Intervals
Phenotype
Mortality

Keywords

  • accelerometry
  • sitting/standing
  • epidemiology
  • gerontology

Cite this

Ryan, Declan John ; Wullems, Jorgen ; Stebbings, Georgina ; Morse, Christopher ; Stewart, Claire ; Onambele-Pearson, Gladys. / Segregating the distinct effects of sedentary behaviour and physical activity on older adults’ cardiovascular profile: Part 1- Regression model approach. In: Journal of Physical Activity and Health. 2018 ; Vol. 15, No. 7. pp. 499-509.
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title = "Segregating the distinct effects of sedentary behaviour and physical activity on older adults’ cardiovascular profile: Part 1- Regression model approach.",
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.",
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Segregating the distinct effects of sedentary behaviour and physical activity on older adults’ cardiovascular profile: Part 1- Regression model approach. / Ryan, Declan John; Wullems, Jorgen; Stebbings, Georgina; Morse, Christopher; Stewart, Claire; Onambele-Pearson, Gladys.

In: Journal of Physical Activity and Health, Vol. 15, No. 7, 01.07.2018, p. 499-509.

Research output: Contribution to JournalArticle

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T1 - Segregating the distinct effects of sedentary behaviour and physical activity on older adults’ cardiovascular profile: Part 1- Regression model approach.

AU - Ryan, Declan John

AU - Wullems, Jorgen

AU - Stebbings, Georgina

AU - Morse, Christopher

AU - Stewart, Claire

AU - Onambele-Pearson, Gladys

PY - 2018/7/1

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N2 - 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.

AB - 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.

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KW - sitting/standing

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SN - 1543-5474

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