Association of objectively measured and perceived environment with accelerometer-based physical activity and cycling: a Swiss population-based cross-sectional study of children
We tested whether objectively assessed neighbourhood characteristics are associated with moderate-to vigorous physical activity (MVPA) and cycling in Swiss children and adolescents and assessed the mediating role of the perception of the environment.
The cross-sectional analyses were based on data of 1306 participants aged 6–16 years of the population-based SOPHYA study. MVPA was measured by accelerometry, time spent cycling and the perceived environment by questionnaire. Objective environmental parameters at the residential address were GIS derived. In all analyses, personal, social and environmental factors were considered.
MVPA showed significant positive associations with perceived personal safety and perceived access to green spaces but not with respective objective parameters. Objectively assessed main street density and shorter distance to the next public transport were associated with less cycling in adolescents. Parents’ perceptions did not mediate the observed associations of the objectively assessed environment with MVPA and cycling.
Associations between the environment and physical activity differ by domain. In spatial planning efforts to improve objective environments should be complemented with efforts to increase parental sense of security.
KeywordsAccelerometer Physical activity Cycling Perceived neighbourhood Objectively assessed neighbourhood Children SOPHYA
We thank the SOPHYA Study Group for their support, Markus Lamprecht for the collaboration, the fieldworkers for the data collection and all the children, adolescents and parents for participating in the SOPHYA study. The SOPHYA Study Group: Nadja Mahler (FOSPO), Urs Mäder (FOSPO), Thomas Wyss (FOSPO), Nadine Stoffel-Kurth (FOPH), Kathrin Favero (FOPH), Andrea Poffet (FOPH), Jvo Schneider (Health Promotion Switzerland), Lisa Guggenbühl (Health Promotion Switzerland) Charlotte Braun-Fahrländer (Swiss TPH), Simone Isler (Swiss TPH)
This study was funded by the Federal Office of Sport FOSPO (Grant No. 13-06), the Federal Office of Public Health FOPH (Grant No. 13.005223) and Health Promotion Switzerland (Grant No. 13.099).
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.
Informed consent was obtained from all parents of participants included in the study. In addition also adolescents filled in a consent form.
- Bringolf-Isler B, Mader U, Dossegger A, Hofmann H, Puder JJ, Braun-Fahrlander C, Kriemler S (2015) Regional differences of physical activity and sedentary behaviour in Swiss children are not explained by socio-demographics or the built environment. Int J Public Health 60:291–300. https://doi.org/10.1007/s00038-014-0645-8 CrossRefGoogle Scholar
- Bringolf-Isler B, Probst-Hensch N, Kayser B, Suggs S (2016) Schlussbericht zur SOPHYA-Studie. Swiss TPH, BaselGoogle Scholar
- Bringolf-Isler B, de Hoogh K, Schindler C, Kayser B, Suggs LS, Dossegger A, Probst-Hensch N, Group SS (2018a) Sedentary behaviour in swiss children and adolescents: disentangling associations with the perceived and objectively measured environment. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph15050918 Google Scholar
- Bringolf-Isler B, Schindler C, Kayser B, Suggs LS, Probst Hensch NM (2018b) Objectively measured physical activity in population-representative parent–child pairs: parental modelling matters and is context-specific. BMC Public Health 18(1):1024. https://doi.org/10.1186/s12889-018-5949-9 CrossRefGoogle Scholar
- Bundesamt für Landestopographie der Schweiz (2000) Landestopographie Bf. VECTOR25–Das digitale Landschaftsmodell der Schweiz, WabernGoogle Scholar
- Bundesamt für Statistik (2012) Bundeamt für Statistik: Raumgliederung der Schweiz. https://www.bfs.admin.ch/bfs/de/home/grundlagen/raumgliederungen.assetdetail.2118452.html. Accessed 2 Oktober 2017
- Bundesamt für Statistik (2014) Volkszählung, Neuenburg, Schweiz. https://www.bfs.admin.ch/bfs/de/home/statistiken/bevoelkerung/erhebungen/volkszaehlung.html. Accessed 21 Nov 2018
- Bundesamt für Statistik (2017) Verkehrsverhalten der Bevölkerung. Ergebnisse des Mikrozensus Mobilität und Verkehr 2015. NeuchatelGoogle Scholar
- Burgi R, Tomatis L, Murer K, de Bruin ED (2016) Spatial physical activity patterns among primary school children living in neighbourhoods of varying socioeconomic status: a cross-sectional study using accelerometry and Global Positioning System. BMC Public Health 16:282. https://doi.org/10.1186/s12889-016-2954-8 CrossRefGoogle Scholar
- D’Haese S, Cardon G, Deforche B (2015) The environment and physical activity. In: Freulut ML (ed) The ECOG's Book on child and adolescent obesity, European Childooh Obesity Group (ECOG), BrusselsGoogle Scholar
- European Environment Agency (2006) Digital land cover (CORINE CLC-2006 Version 13.02-2010)Google Scholar
- Kamphuis CB, van Lenthe FJ, Giskes K, Brug J, Mackenbach JP (2007) Perceived environmental determinants of physical activity and fruit and vegetable consumption among high and low socioeconomic groups in the Netherlands. Health Place 13:493–503. https://doi.org/10.1016/j.healthplace.2006.05.008 CrossRefGoogle Scholar
- Lamprecht M, Fischer A, Wiegand D, Stamm H (2015) Sport Schweiz 2014. Kinder- und Jugenbericht. Bundesamt für Sport BASPO, MagglingenGoogle Scholar
- Rowlands AV, Eston RG (2007) The measurement and interpretation of children’s physical activity. J Sports Sci Med 6:270–276Google Scholar
- Sallis JF, Cervero RB, Ascher W, Henderson KA, Kraft MK, Kerr J (2006) An ecological approach to creating active living communities. Annu Rev Public Health 27:297–322. https://doi.org/10.1146/annurev.publhealth.27.021405.102100 CrossRefGoogle Scholar
- Sauter D, Wyss K (2014) Pilotstudie: Velonutzung von Jugendlichen im Kanton Basel-Stadt. Schlussbericht, ZürichGoogle Scholar
- Sobel M (1982) Asymptotic confidence intervals for indirect effects in structural equation models. In: Leinhart S (ed) Sociological methodology. Jossey-Bass, San Francisco, pp 290–312Google Scholar
- Verloigne M, Van Lippevelde W, Maes L, Yildirim M, Chinapaw M, Manios Y, Androutsos O, Kovacs E, Bringolf-Isler B, Brug J, De Bourdeaudhuij I (2012) Levels of physical activity and sedentary time among 10- to 12-year-old boys and girls across 5 European countries using accelerometers: an observational study within the ENERGY-project. Int J Behav Nutr Phys Act 9:34. https://doi.org/10.1186/1479-5868-9-34 CrossRefGoogle Scholar
- Weier J, Herring DH (2000) Measuring vegetation (NDVI & EVI). http://earthobservatory.nasa.gov/Features/MeasuringVegetation/. Accessed 21 Nov 2018
- WHO (2011) Global strategy on diet, physical activity and healthGoogle Scholar