The effect of infrastructural changes in the built environment on physical activity, active transportation and sedentary behavior – A systematic review

Stappers, Nicole; Kann, Dave H. H. Van; Ettema, Dick; Vries, Nanne de; Kremers, Stef

doi:10.1016/j.healthplace.2018.08.002

Cited by 92 publications

(77 citation statements)

References 57 publications

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“…However, psychological factors such as attitudes, perceived social norms, and motives are potentially very important predictors of total and domain‐specific SB . Similarly, it is conceivable that a number of understudied environmental characteristics that promote light PA influence SB . Features of the micro environment such as the number and location of TVs at home are likely correlates .…”

Section: Discussionmentioning

confidence: 99%

“…108,109 Similarly, it is conceivable that a number of understudied environmental characteristics that promote light PA influence SB. 110 Features of the micro environment such as the number and location of TVs at home are likely correlates. 111 Finally, political and cultural factors that are often key facilitators of health behaviours are widely neglected.…”

Section: Correlates Of Sb In Asian Adultsmentioning

confidence: 99%

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Correlates of sedentary behaviour in Asian adults: A systematic review

et al. 2020

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Summary The objective of this study is to systematically review the evidence on correlates of sedentary behaviour (SB) among Asian adults. We searched for studies that examined individual, environmental, and political/cultural correlates of total and domain‐specific SB (transport, occupation, leisure, and screen time) in Asian adults published from 2000 onwards in nine scientific databases. Two reviewers independently screened identified references. Following quality assessment of included studies, we performed narrative synthesis that considered differences based on SB measurements, regions, and population characteristics (PROSPERO: CRD42018095268). We identified 13 249 papers of which we included 49, from four regions and 12 countries. Researchers conducted cross‐sectional analyses and most relied on SB self‐report for SB measurement. Of the 118 correlates studied, the following associations were consistent: higher age, living in an urban area (East Asia), and lower mental health with higher total SB; higher education with higher total and occupational SB; higher income with higher leisure‐time SB; higher transit density with higher total SB in older East Asians; and being an unmarried women with higher SB in the Middle East. We encourage more research in non‐high‐income countries across regions, further exploration of important but neglected correlates using longitudinal designs and qualitative research, and the use of objective instruments to collect SB data.

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Section: Discussionmentioning

confidence: 99%

Section: Correlates Of Sb In Asian Adultsmentioning

confidence: 99%

Correlates of sedentary behaviour in Asian adults: A systematic review

et al. 2020

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“…The built environment is defined as "all of the physical structures and elements of the human-made environment in which we live, work, travel, and play" (Frank & Engelke, 2005;Stappers et al, 2018). Figure 3 includes the main variables related to the built environment and the following sections sort them into two general categories: (a) variables related to land-use, and (b) variables related to community design.…”

Section: Main Determinative Variables In Planning Process Toward Prommentioning

confidence: 99%

“…The first variable related to community design is infrastructure and facilities. This variables, together with aesthetics, attractiveness, and quality of facilities, play an important role in encouraging people to use active modes of transportation based on studies done by Burbidge and Goulias (2009), Badland and Schofield (2005), Eva Leslie et al (2005), Stappers et al (2018), and Shay et al (2003). At present, almost everything humans do is through the internet and some modern cities are using the internet of things (IoT) technologies for building an intelligent active transportation system (Brincat et al, 2019).…”

Section: Main Determinative Variables In Planning Process Toward Prommentioning

confidence: 99%

Determinative Variables Toward Promoting Use of Active Modes of Transportation: Enhancing Level of Sustainable Mobility in Communities

Dehghanmongabadi

Hoşkara

2020

Sage Open

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Most current transportation systems around the world are cause for pressing concern and a menace to sustainability of social justice, and economic and environmental vitality. From a universal agreement that transportation needs an urgent alteration in travel modes, policies, planning, and behaviors through to the emergence of sustainability in the transportation sector, a significant and central vision has emerged to guide urban policymakers, transportation planners, and public health officials. During the last four decades, a shift in transportation modes toward use of active modes of transportation has been encouraged, and it is one of the main sustainability movements appearing in many developing and developed countries. This research provides a narrative review and parsing of existing literature, which focuses on promoting active modes of transportation. The aim is to clarify key determinative variables that must be considered by planners and policymakers toward promoting use of active modes of transportation for daily mobility.

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“…It becomes even more interesting, from a behavioral science point of view, when data regarding the environment can be linked to data regarding the behavior. For example, when studying the effect of infrastructural changes in the built environment on physical activity (Stappers et al, 2018). But also on a much smaller scale, when looking at the relationship between exposure to light and sleep behavior (Faulkner et al, 2020).…”

Section: Technologymentioning

confidence: 99%