scholarly journals Characteristics of the Built Environment in Relation to Objectively Measured Physical Activity Among Mexican Adults, 2011

2014 ◽  
Vol 11 ◽  
Author(s):  
Deborah Salvo ◽  
Rodrigo S. Reis ◽  
Areyh D. Stein ◽  
Juan Rivera ◽  
Reynaldo Martorell ◽  
...  
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Mexican Adults ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

scholarly journals Association of Perceived Built Environment Attributes with Objectively Measured Physical Activity in Community-Dwelling Ambulatory Patients with Stroke

2019 ◽  
Vol 16 (20) ◽  
pp. 3908
Author(s):  
Masashi Kanai ◽  
Kazuhiro P. Izawa ◽  
Hiroki Kubo ◽  
Masafumi Nozoe ◽  
Kyoshi Mase ◽  
...  
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Vigorous Physical Activity ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Community Dwelling ◽  
Cross Sectional ◽  
Ambulatory Patients ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

There is little evidence on how perceptions of the built environment may influence physical activity among post-stroke patients. This study aimed to explore the associations between perceived built environment attributes and objectively measured physical activity outcomes in community-dwelling ambulatory patients with stroke. This cross-sectional study recruited patients who could walk outside without assistance. We assessed both objectively measured physical activity outcomes such as number of steps and duration of moderate-to-vigorous physical activity (MVPA) with an accelerometer and the patients’ perceived surrounding built environment with the International Physical Activity Questionnaire Environmental Module. Sixty-one patients (67.0 years old) were included. The multiple linear regression analysis showed significant associations of the presence of sidewalks (β = 0.274, p = 0.016) and access to recreational facilities (β = 0.284, p = 0.010) with the number of steps taken (adjusted R2 = 0.33). In contrast, no significant associations were found between perceived built environment attributes and MVPA. These findings may help to suggest an approach to promote appropriate physical activity in patients with stroke depending on their surrounding built environment.

scholarly journals The built environment correlates of objectively measured physical activity in Norwegian adults: A cross-sectional study

2018 ◽  
Vol 7 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Ane Kristiansen Solbraa ◽  
Sigmund Alfred Anderssen ◽  
Ingar Morten Holme ◽  
Elin Kolle ◽  
Bjørge Herman Hansen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Built Environment ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
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.

scholarly journals A 20-Year Follow-Up Study of Objectively Measured Physical Activity

2021 ◽  
Vol 18 (6) ◽  
pp. 3076
Author(s):  
Anders Raustorp ◽  
Andreas Fröberg
Keyword(s):  
Physical Activity ◽  
Early Adolescence ◽  
Total Sample ◽  
Short Time Span ◽  
Steps Per Day ◽  
Objectively Measured ◽  
Short Time ◽  
Objectively Measured Physical Activity

Background: The objectives of this study were to explore the effect of time, long-term tracking, and the proportion of objectively measured physical activity (PA) from early adolescence to the mid-thirties. Methods: PA was measured as mean steps per day (SPD) with pedometers during 2000 (T1), 2003 (T2), 2005 (T3), 2010 (T4), 2016 (T5) and 2020 (T6). Data from 64 participants (n = 32 males) were analysed from their early adolescence (T1) to their mid-thirties (T6). Results: SPD decreased in the total sample and among males and females (all, p < 0.001). Males took more mean SPD than females during T1 (p = 0.002), whereas females took more mean SPD during T2 (p = 0.009) and T6 (p = 0.008). Males’ mean SPD tracked between T1 and T2 (p = 0.021), T2 and T3 (p = 0.030), T3 and T4 (p = 0.015) and T4 and T5 (p = 0.003). Females’ mean SPD tracked between T3 and T4 (p = 0.024) and T5 and T6 (p < 0.001). In the total sample, more mean SPD were found on weekdays compared to weekend days at T3 (p = 0.017) and T5 (p < 0.001). Conclusions: SPD decreased between T1 and T6. Mean SPD tracked low-to-moderate in the short time span. From late adolescence to the mid-thirties, more mean SPD was observed during weekdays compared to weekend days.

A Longitudinal Study of Objectively Measured Built Environment as Determinant of Physical Activity in Young Adults: The European Youth Heart Study

2015 ◽  
Vol 12 (7) ◽  
pp. 909-914 ◽  
Author(s):  
Jasper Schipperijn ◽  
Mathias Ried-Larsen ◽  
Merete S. Nielsen ◽  
Anneli F. Holdt ◽  
Anders Grøntved ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Longitudinal Study ◽  
Built Environment ◽  
Cross Sectional ◽  
Environmental Indices ◽  
Domain Specific ◽  
Objectively Measured ◽  
European Youth

Background:This longitudinal study aimed to examine if a Movability Index (MI), based on objectively measured built environment characteristics, was a determinant for objectively measured physical activity (PA) among young adults.Methods:Data collected from 177 persons participating in the Danish part of the European Youth Hearth Study (EYHS) was used to examine the effect of the built environment on PA. A MI was developed using objectively measured built environment characteristics, and included residential density, recreational facilities, daily destinations and street connectivity.Results:Results showed a positive cross-sectional association between MI and PA. PA decreased from baseline to follow-up. MI increased, primarily due to participants relocating to larger cities. An increase in MI from baseline to follow-up was associated with a reduced decrease in PA for females.Conclusions:Our findings suggest that the built environment is a determinant for PA, especially for females. The found gender differences might suggest the need to develop gender specific environmental indices in future studies. The validity of the measures can be further improved by creating domain specific PA measures as well as domain specific environmental indices and this can potentially reveal more specific built environment determinants for PA.

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