scholarly journals Objectively measured physical activity and one-year change in symptoms among individuals with radiographically confirmed knee osteoarthritis

2015 ◽  
Vol 23 ◽  
pp. A388
Author(s):  
S.-H. Liu ◽  
J.B. Driban ◽  
C.B. Eaton ◽  
T.E. McAlindon ◽  
L.R. Harrold ◽  
...  
Keyword(s):  
Physical Activity ◽  
Knee Osteoarthritis ◽  
One Year ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

One-year Stability of Objectively Measured Physical Activity in Young Brazilian Adults

2017 ◽  
Vol 14 (3) ◽  
pp. 208-212 ◽  
Author(s):  
Rafaela Costa Martins ◽  
Felipe Fossati Reichert ◽  
Renata Moraes Bielemann ◽  
Pedro C. Hallal
Keyword(s):  
Physical Activity ◽  
Climate Variables ◽  
Climate Information ◽  
Average Temperature ◽  
Intensity Physical Activity ◽  
Vigorous Intensity ◽  
One Year ◽  
Objectively Measured ◽  
Summer Rain ◽  
Objectively Measured Physical Activity

Background:To evaluate the 1-year stability of objectively measured physical activity among young adults living in South Brazil, as well as assessing the influences of temperature, humidity and precipitation on physical activity.Methods:A longitudinal study was conducted over 12 consecutive months (October 2012 to September 2013). Sixteen participants (8 men) used GT3X+ accelerometers 1 week per month for the entire year. Climate variables were obtained from an official climate information provider.Results:Physical activity was remarkably stable over the year—the proportion of the day spent in moderate-to-vigorous intensity physical activity (MVPA) was around 5% in every month. Average temperature (ρ = –0.64; P = .007), humidity (ρ = –0.68; P = .004) and rain (ρ = –0.67; P = .004) were inversely correlated to MVPA in the Summer. Rain was also inversely correlated to MVPA in the Spring (ρ = –0.54; P = .03).Conclusions:Objectively measured physical activity was stable over a 1-year period. Climate variables consistently influenced physical activity practice in the Summer, but not in the other seasons.

scholarly journals Objectively Measured Physical Activity and Symptoms Change in Knee Osteoarthritis

2016 ◽  
Vol 129 (5) ◽  
pp. 497-505.e1 ◽  
Author(s):  
Shao-Hsien Liu ◽  
Jeffrey B. Driban ◽  
Charles B. Eaton ◽  
Timothy E. McAlindon ◽  
Leslie R. Harrold ◽  
...  
Keyword(s):  
Physical Activity ◽  
Knee Osteoarthritis ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

scholarly journals Objectively measured physical activity in one-year-old children from a Brazilian cohort: levels, patterns and determinants

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Luiza Isnardi Cardoso Ricardo ◽  
Inácio Crochemore M. da Silva ◽  
Otávio Amaral de Andrade Leão ◽  
Marlos Rodrigues Domingues ◽  
Fernando C. Wehrmeister
Keyword(s):  
Physical Activity ◽  
Sleep Time ◽  
Z Score ◽  
Physically Active ◽  
Maternal Schooling ◽  
Intensity Category ◽  
One Year ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Brazilian Cohort

Abstract Background The aim of this study is to describe objectively measured physical activity (PA) and its correlates in one-year-old children. Methods The current study includes participants from the 2015 Pelotas (Brazil) birth cohort. At age one, PA was assessed in a 24-h protocol during 4 days with a wrist-attached accelerometer (ActiGraph, wGT3X-BT), from which two complete days of data were analyzed, with 5-s epochs. Results A total of 2974 individuals provided valid accelerometry data. Infants able to walk independently spent on average 19 h per day below 50 mg of acceleration (including sleep time), and those who could not walk spent on average 21 h in this intensity category. Girls spent approximately 10 min more than boys below 50 mg daily in both walking status categories, and less activity than boys on higher intensity categories. Boys and infants whose mothers were more physically active during pregnancy presented more acceleration, regardless of walking status. Among infants who could walk by themselves, those with mothers with one to eight schooling years; adequate length-for-age (z-score); not attending daycare; and more physically active fathers also showed higher levels of acceleration. Conclusions Our findings demonstrate higher levels of PA among boys and those children with higher maternal PA during pregnancy, regardless of walking status. Also, among infants able to independently walk, 1–8 years of maternal schooling, adequate length-for-age (z-score), no daycare attendance and higher paternal PA are positive correlates of objectively measured PA early in life.

scholarly journals Objectively Measured Physical Activity and Risk of Knee Osteoarthritis

2018 ◽  
Vol 50 (2) ◽  
pp. 277-283 ◽  
Author(s):  
JIN QIN ◽  
KAMIL E. BARBOUR ◽  
MICHAEL C. NEVITT ◽  
CHARLES G. HELMICK ◽  
JENNIFER M. HOOTMAN ◽  
...  
Keyword(s):  
Physical Activity ◽  
Knee Osteoarthritis ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

The Relationship Between Weather and Objectively Measured Physical Activity Among Individuals With COPD

2017 ◽  
Vol 37 (6) ◽  
pp. 445-449 ◽  
Author(s):  
Shea M. Balish ◽  
Gail Dechman ◽  
Paul Hernandez ◽  
John C. Spence ◽  
Ryan E. Rhodes ◽  
...  
Keyword(s):  
Physical Activity ◽  
Objectively Measured ◽  
The Relationship ◽  
Objectively Measured Physical Activity

scholarly journals Associations between objectively measured physical activity, sedentary behaviour and time in bed among 75+ community-dwelling Danish older adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li-Tang Tsai ◽  
Eleanor Boyle ◽  
Jan C. Brønd ◽  
Gry Kock ◽  
Mathias Skjødt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Sedentary Behaviour ◽  
Sleep Duration ◽  
Activity Level ◽  
Time In Bed ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Vector Magnitude

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.

Sign in / Sign up

Export Citation Format

Share Document