Objectively Measured Physical Activity and Framingham Risk Score in Healthy Older Adults

2008 ◽  
Vol 40 (Supplement) ◽  
pp. S222
Author(s):  
Michael S. Loy ◽  
Ann M. Swartz ◽  
Scott J. Strath ◽  
Nora E. Miller ◽  
Lauren A. Ewalt ◽  
...  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li-Tang Tsai ◽  
Eleanor Boyle ◽  
Jan C. Brønd ◽  
Gry Kock ◽  
Mathias Skjødt ◽  
...  

Abstract Background Older adults are recommended to sleep 7–8 h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (≥9 h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown. Methods This study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7 days. Sedentary behavior was classified as < 2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303–4999 and ≥ 5000 cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7–9 h/night: ≥80% of measurement days), STIB (sometimes having TIB 7–9 h/night: 20–79% of measurement days), and RTIB (rarely having TIB 7–9 h/night: < 20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function. Results Three hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8 h 21 min (1 h 10 min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15–0.71), p = 0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303–4999 and ≥ 5000 cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (≥10 h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50–6.88), p = 0.003). Conclusions For older adults, being physically active and less sedentary was associated with being in bed for 7–9 h/night for most nights (≥80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.


2021 ◽  
Vol 40 ◽  
pp. 101097
Author(s):  
Jian-Yu E ◽  
Aleksandra Mihailovic ◽  
Jennifer A. Schrack ◽  
Catalina Garzon ◽  
Tianjing Li ◽  
...  

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Thomas W Buford ◽  
Don G Hire ◽  
Walter T Ambrosius ◽  
Stephen D Anton ◽  
Timothy S Church ◽  
...  

Introduction: In middle-aged adults, time spent being sedentary is associated with cardiovascular (CV) health risks independent of structured physical activity (PA). However, data are sparse regarding the impact of sedentary behavior on CV risk in older adults. The extent to which the absolute duration or intensity of daily PA reduces CV risk in older adults is also unknown. Objectives: Our objective was to examine the cross-sectional association between objectively-measured sedentary behavior and predicted CV risk among older adults in the Lifestyle Interventions and Independence for Elders (LIFE) study. The secondary objective was to evaluate associations between the duration/intensity of daily PA and predicted CV risk. Methods: LIFE is a randomized clinical trial to determine if regular PA prevents mobility disability among mobility-limited older adults. Activity data were collected by hip-worn accelerometer at baseline prior to participation in study interventions. Only participants with at least three days of accelerometry data (≥ 10 hrs wear time) were included. Unadjusted and adjusted linear regression was used to model the relationship between accelerometry measures and predicted 10-year Framingham risk of Hard Coronary Heart Disease (HCHD; i.e. myocardial infarction or coronary death). Adjusted models included demographic confounders (e.g. education, race, income) and health parameters (e.g. depression, cognition, arthritis) not in the risk score. Accelerometry cut-points were (in counts/min): sedentary behavior: < 100; low-intensity activity: 100-499; higher intensity activity: > 500. Results: Participants (n = 1170; 78.7 ± [SD] 5.3 years; 66.1% female) had a median HCHD risk of 10.3% (25 th -75 th %: 5.7-18.6). Over a mean accelerometer wear time of 8.1 ± 3.2 days, participants spent 77.0 ± 8.2% of their time sedentary. They also spent 16.6 ± 5.0% of their time in low-intensity PA and 6.4 ± 4.4% in higher-intensity PA. For all PA performed (> 100 counts/min), participants achieved a median of 393.4 (337.8-473.5) counts/min. In the unadjusted model, time spent sedentary (β = 2.41; 95% CI : 1.94, 2.89), in low-intensity PA (-2.56; -3.03, -2.08), and in higher-intensity PA (-1.60; -2.09, -1.11) were all associated with HCHD risk (all p’s < 0.001). These associations remained significant after adjustment. The mean intensity of daily PA was not significantly associated with HCHD risk in any model (p > 0.05). Conclusions: Daily time spent being sedentary is positively associated with predicted 10-year HCHD risk among mobility-limited older adults. Duration, but not mean intensity, of daily PA is inversely associated with HCHD risk score in this population.


2018 ◽  
Vol 37 (2) ◽  
pp. 142-149 ◽  
Author(s):  
Andreas Hult ◽  
Jonas Johansson ◽  
Peter Nordström ◽  
Anna Nordström

2019 ◽  
pp. 1
Author(s):  
Yuki Yamagami ◽  
Keigo Saeki ◽  
Yoshiaki Tai ◽  
Taeko Maegawa ◽  
Junko Iwamoto ◽  
...  

2015 ◽  
Vol 6 ◽  
pp. S30
Author(s):  
N.P. Aspvik ◽  
H. Viken ◽  
D. Stensvold ◽  
U. Wisløff ◽  
J.E. Ingebrigtsen

2019 ◽  
Vol 68 (1) ◽  
pp. 137-146 ◽  
Author(s):  
Renata M. Bielemann ◽  
Andrea Z. LaCroix ◽  
Andréa D. Bertoldi ◽  
Elaine Tomasi ◽  
Flávio F. Demarco ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Wenfei Zhu ◽  
Zhiwei Cheng ◽  
Virginia J. Howard ◽  
Suzanne E. Judd ◽  
Steven N. Blair ◽  
...  

2014 ◽  
Vol 46 ◽  
pp. 120
Author(s):  
Wenfei Zhu ◽  
Virginia J. Howard ◽  
Virginia Wadley ◽  
Brent Hutto ◽  
Steven N. Blair ◽  
...  

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