scholarly journals The Association Between Geographic Information System-Based Neighborhood Built Environmental Factors and Accelerometer-Derived Light-Intensity Physical Activity Across the Lifespan: A Cross-Sectional Study

Author(s):  
Sofie Compernolle ◽  
Lieze Mertens ◽  
Jelle Van Cauwenberg ◽  
Iris Maes ◽  
Delfien Van Dyck

Abstract Background. Evidence on correlates of accelerometer-derived light-intensity physical activity (LPA) is scarce. The aim of this study was to examine associations between Geographic Information System (GIS)-based neighborhood built environmental factors and accelerometer-derived LPA, and to investigate the moderating effect of age group (adolescents, adults, older adults) on these associations. Methods. Objective data were used from three similar observational studies conducted in Ghent (Belgium) between 2007 and 2015. Accelerometer data were collected from 1652 participants, and GIS-based neighborhood built environmental factors (residential density, intersection density, park density, public transport density, entropy index) were calculated using sausage buffers of 500 m and 1000 m around the home addresses of all participants. Linear mixed models were performed to estimate the associations. Results. A small but significant association was observed between residential density (500 m buffer) and LPA in the total sample (B=-0.002; SE=0.0001; p=0.04), demonstrating that every decrease of 1000 dwellings per surface buffer was associated with a two minute increase in LPA. Intersection density, park density, public transport density and entropy index were not related to LPA, and moderating effects of age group were absent. Conclusions. The small association, in combination with other non-significant associations suggests that the neighborhood built environment, as classically measured in moderate-to-vigorous intensity physical activity research, is of limited importance for LPA. More research is needed to unravel how accelerometer-derived LPA is accumulated, and to gain insight into its determinants.

2019 ◽  
Vol 16 (1) ◽  
pp. 37-42 ◽  
Author(s):  
Whitney A. Welch ◽  
Scott J. Strath ◽  
Michael Brondino ◽  
Renee Walker ◽  
Ann M. Swartz

2010 ◽  
Vol 172 (10) ◽  
pp. 1155-1165 ◽  
Author(s):  
M. P. Buman ◽  
E. B. Hekler ◽  
W. L. Haskell ◽  
L. Pruitt ◽  
T. L. Conway ◽  
...  

2020 ◽  
pp. 335-345
Author(s):  
Kylie Hill ◽  
Zoe McKeough ◽  
Daniel F. Gucciardi

2018 ◽  
Vol 50 (5S) ◽  
pp. 209-210
Author(s):  
Luis Adriano Lima ◽  
Diana Carolina Gonzalez ◽  
João Pedro Silva Junior ◽  
Timóteo Leandro Araujo ◽  
Sandra Mahecha Matsudo ◽  
...  

2018 ◽  
Vol 13 (9) ◽  
pp. 921-931 ◽  
Author(s):  
Coralie English ◽  
Heidi Janssen ◽  
Gary Crowfoot ◽  
Robin Callister ◽  
Ashlee Dunn ◽  
...  

Objectives People with stroke sit for long periods each day, which may compromise blood glucose control and increase risk of recurrent stroke. Studies in other populations have found regular activity breaks have a significant immediate (within-day) positive effect on glucose metabolism. We examined the effects of breaking up uninterrupted sitting with frequent, short bouts of light-intensity physical activity in people with stroke on post-prandial plasma glucose and insulin. Methods Randomized within-participant crossover trial. We included people between 3 months and 10 years post-stroke, ambulant with minimal assistance and not taking diabetic medication other than metformin. The three experimental conditions (completed in random order) were: sitting for 8 h uninterrupted, sitting with 3 min bouts of light-intensity exercise while standing every 30 min, or sitting with 3 min of walking every 30 min. Meals were standardized and bloods were collected half- to one-hourly via an intravenous cannula. Results A total of 19 participants (9 female, mean [SD] age 68.2 [10.2]) completed the trial. The majority ( n = 12, 63%) had mild stroke symptoms (National Institutes of Stroke Scale score 0–13). There was no significant effect of experimental condition on glucose (mean [SD] positive incremental area [+iAUC] mmol·L·h-1 under the curve during sitting 42.3 [29.5], standing 47.4 [23.1], walking 44.6 [26.5], p = 0.563) or insulin (mean + iAUC pmol·L·h-1 sitting 14,161 [7,560], standing 14,043 [8,312], walking 14,008 [8,269], p = 0.987). Conclusion Frequent, short bouts of light-intensity physical activity did not have a significant effect on post-prandial plasma glucose and insulin in this sample of people with stroke. Further studies are needed to identify strategies that improve inactivity-related glucose metabolism after stroke.


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