Does the built environment influence location- and trip-based sedentary behaviors? Evidence from a GPS-based activity space approach of neighborhood effects on older adults

被引:6
作者
Perchoux, C. [1 ,5 ]
Brondeel, R. [2 ]
Klein, S. [1 ]
Klein, O. [1 ]
Thierry, B. [3 ]
Kestens, Y.
Chaix, B. [4 ]
Gerber, P. [1 ]
机构
[1] Luxembourg Inst Socioecon Res LISER, Dept Urban Dev & Mobil, Esch Sur Alzette, Luxembourg
[2] Sciensano, Dept Epidemiol & Publ Hlth, Brussels, Belgium
[3] Univ Montreal, Ctr Rech CHUM, Pavillon S,850 Rue St Denis, Montreal, PQ H2X 0A9, Canada
[4] Sorbonne Univ, Inst Pierre Louis Epidemiol & Sante Publ IPLESP, Fac Med St Antoine, Nemesis Team,INSERM, Paris, France
[5] Luxembourg Inst Socioecon Res, 11 Porte Sci, L-4366 Esch Sur Alzette, Luxembourg
关键词
Location -based sedentary time; Trip -based sedentary time; Sedentary bouts; Activity space; Accelerometers; Built environment exposure; PHYSICAL-ACTIVITY; CARDIOMETABOLIC RISK; PATTERNS; ASSOCIATIONS; HEALTH; TIME; ACCELEROMETRY; DETERMINANTS; METAANALYSIS; MORTALITY;
D O I
10.1016/j.envint.2023.108184
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Objective: Evidence on the influence of built environments on sedentary behaviors remains unclear and is often contradictory. The main limitations encompass the use of self-reported proxies of sedentary time (ST), the scarce consideration of the plurality of sedentary behaviors, and environmental exposures limited to the residential neighborhood. We investigated the relationships between GPS-based activity space measures of environmental exposures and accelerometer-based ST measured in total, at the place of residence, at all locations, and during trips.Methods: This study is part of the CURHA project, based on 471 older adults residing in Luxembourg, who wore a GPS receiver and a tri-axial accelerometer during 7 days. Daily ST was computed in total, at the residence, at all locations and during trips. Environmental exposures included exposure to green spaces, walking, biking, and motorized transportation infrastructures. Associations between environments and ST were examined using linear and negative binomial mixed models, adjusted for demographics, self-rated health, residential self-selection, weather conditions and wear time.Results: Participants accumulated, on average, 8 h and 14 min of ST per day excluding sleep time. ST spent at locations accounted for 83 % of the total ST. ST spent at the residence accounted for 87 % of the location-based ST and 71 % of the total ST. Trip-based ST represents 13 % of total ST, and 4 % remained unclassified. Higher street connectivity was negatively associated with total ST, while the density of parking areas correlated positively with total and location-based ST. Stronger associations were observed for sedentary bouts (uninterrupted ST over 20 and 30 min).Conclusion: Improving street connectivity and controlling the construction of new parking, while avoiding the spatial segregation of populations with limited access to public transport, may contribute to limit ST. Such urban planning interventions may be especially efficient in limiting the harmful uninterrupted bouts of ST among older adults.
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页数:11
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