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Implementation Science
Published in: Implementation Science 1/2011

Open Access 01-12-2011 | Research

Feasibility of multi-sector policy measures that create activity-friendly environments for children: results of a Delphi study

Authors: Marie-Jeanne Aarts, Albertine J Schuit, Ien AM van de Goor, Hans AM van Oers

Published in: Implementation Science | Issue 1/2011

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Abstract

Background

Although multi-sector policy is a promising strategy to create environments that stimulate physical activity among children, little is known about the feasibility of such a multi-sector policy approach. The aims of this study were: to identify a set of tangible (multi-sector) policy measures at the local level that address environmental characteristics related to physical activity among children; and to assess the feasibility of these measures, as perceived by local policy makers.

Methods

In four Dutch municipalities, a Delphi study was conducted among local policy makers of different policy sectors (public health, sports, youth and education, spatial planning/public space, traffic and transportation, and safety). In the first Delphi round, respondents generated a list of possible policy measures addressing three environmental correlates of physical activity among children (social cohesion, accessibility of facilities, and traffic safety). In the second Delphi round, policy makers weighted different feasibility aspects (political feasibility, cultural/community acceptability, technical feasibility, cost feasibility, and legal feasibility) and assessed the feasibility of the policy measures derived from the first round. The third Delphi round was aimed at reaching consensus by feedback of group results. Finally, one overall feasibility score was calculated for each policy measure.

Results

Cultural/community acceptability, political feasibility, and cost feasibility were considered most important feasibility aspects. The Delphi studies yielded 16 feasible policy measures aimed at physical and social environmental correlates of physical activity among children. Less drastic policy measures were considered more feasible, whereas environmental policy measures were considered less feasible.

Conclusions

This study showed that the Delphi technique can be a useful tool in reaching consensus about feasible multi-sector policy measures. The study yielded several feasible policy measures aimed at physical and social environmental correlates of physical activity among children and can assist local policy makers in designing multi-sector policies aimed at an activity-friendly environment for children.
Appendix
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Literature
1.
2.
Biddle SJ, Gorely T, Stensel DJ: Health-enhancing physical activity and sedentary behaviour in children and adolescents. J Sports Sci. 2004, 22 (8): 679-701. 10.1080/02640410410001712412.CrossRefPubMed
3.
Dencker M, Andersen LB: Health-related aspects of objectively measured daily physical activity in children. Clin Physiol Funct Imaging. 2008, 28 (3): 133-144. 10.1111/j.1475-097X.2008.00788.x.CrossRefPubMed
4.
Graf C, Koch B, Kretschmann-Kandel E, Falkowski G, Christ H, Coburger S, Lehmacher W, Bjarnason-Wehrens B, Platen P, Tokarski W: Correlation between BMI, leisure habits and motor abilities in childhood (CHILT-project). Int J Obes Relat Metab Disord. 2004, 28 (1): 22-26. 10.1038/sj.ijo.0802428.CrossRefPubMed
5.
Aarts MJ, Wendel-Vos W, van Oers HA, van de Goor IA, Schuit AJ: Environmental Determinants of Outdoor Play in Children A Large-Scale Cross-Sectional Study. Am J Prev Med. 2010, 39 (3): 212-219. 10.1016/j.amepre.2010.05.008.CrossRefPubMed
6.
Davison KK, Lawson CT: Do attributes in the physical environment influence children's physical activity? A review of the literature. Int J Behav Nutr Phys Act. 2006, 3: 19-10.1186/1479-5868-3-19.CrossRefPubMedPubMedCentral
7.
Ferreira I, van der Horst K, Wendel-Vos W, Kremers S, van Lenthe FJ, Brug J: Environmental correlates of physical activity in youth-a review and update. Obes Rev. 2007, 8 (2): 129-154. 10.1111/j.1467-789X.2006.00264.x.CrossRefPubMed
8.
Sallis JF, Glanz K: Physical activity and food environments: solutions to the obesity epidemic. Milbank Q. 2009, 87 (1): 123-154. 10.1111/j.1468-0009.2009.00550.x.CrossRefPubMedPubMedCentral
9.
Swinburn B, Egger G, Raza F: Dissecting obesogenic environments: the development and application of a framework for identifying and prioritizing environmental interventions for obesity. Prev Med. 1999, 29 (6 Pt 1): 563-570.CrossRefPubMed
10.
Edwards P, Tsouros A: Promoting physical activity and active living in urban environments. 2006, World Health Organization
11.
Sacks G, Swinburn B, Lawrence M: Obesity Policy Action framework and analysis grids for a comprehensive policy approach to reducing obesity. Obes Rev. 2009, 10 (1): 76-86. 10.1111/j.1467-789X.2008.00524.x.CrossRefPubMed
12.
Sacks G, Swinburn BA, Lawrence MA: A systematic policy approach to changing the food system and physical activity environments to prevent obesity. Aust New Zealand Health Policy. 2008, 5: 13-10.1186/1743-8462-5-13.CrossRefPubMedPubMedCentral
13.
Schmid TL, Pratt M, Witmer L: A framework for physical activity policy research. Journal of Physical Activity and Health. 2006, 3 (Suppl 1): S20-S29.
14.
Jackson SF, Perkins F, Khandor E, Cordwell L, Hamann S, Buasai S: Integrated health promotion strategies: a contribution to tackling current and future health challenges. Health Promot Int. 2006, 21 (Suppl 1): 75-83.CrossRefPubMed
15.
RVZ: Buiten de gebaande paden: Advies over intersectoraal gezondheidsbeleid [Outside the beaten tracks: Advise on intersectoral health policy]. 2009, The Hague
16.
Swinburn B, Gill T, Kumanyika S: Obesity prevention: a proposed framework for translating evidence into action. Obes Rev. 2005, 6 (1): 23-33. 10.1111/j.1467-789X.2005.00184.x.CrossRefPubMed
17.
Armstrong R, Doyle J, Lamb C, Waters E: Multi-sectoral health promotion and public health: the role of evidence. J Public Health (Oxf). 2006, 28 (2): 168-172. 10.1093/pubmed/fdl013.CrossRef
18.
Brownson RC, Haire-Joshu D, Luke DA: Shaping the context of health: a review of environmental and policy approaches in the prevention of chronic diseases. Annu Rev Public Health. 2006, 27: 341-370. 10.1146/annurev.publhealth.27.021405.102137.CrossRefPubMed
19.
Snowdon W, Lawrence M, Schultz J, Vivili P, Swinburn B: Evidence-informed process to identify policies that will promote a healthy food environment in the Pacific Islands. Public Health Nutr. 2010, 13 (6): 886-892. 10.1017/S136898001000011X.CrossRefPubMed
20.
Snowdon W, Potter JL, Swinburn B, Schultz J, Lawrence M: Prioritizing policy interventions to improve diets? Will it work, can it happen, will it do harm?. Health Promot Int. 2010, 25 (1): 123-133. 10.1093/heapro/daq003.CrossRefPubMedPubMedCentral
21.
Stirling A, Lobstein T, Millstone E: Methodology for obtaining stakeholder assessments of obesity policy options in the PorGrow project. Obes Rev. 2007, 8 (Suppl 2): 17-27.CrossRefPubMed
22.
Aarts MJ, Van de Goor IA, Van Oers HA, Schuit AJ: Towards translation of environmental determinants of physical activity in children into multi-sector policy measures: study design of a Dutch project. BMC Public Health. 2009, 9 (1): 396-10.1186/1471-2458-9-396.CrossRefPubMedPubMedCentral
23.
Linstone HA, Turoff M: The Delphi Method: Techniques and Applications. 1975, London: Addison-Wesley
24.
Banwell C, Hinde S, Dixon J, Sibthorpe B: Reflections on expert consensus: a case study of the social trends contributing to obesity. Eur J Public Health. 2005, 15 (6): 564-568. 10.1093/eurpub/cki034.CrossRefPubMed
25.
Brennan Ramirez LK, Hoehner CM, Brownson RC, Cook R, Orleans CT, Hollander M, Barker DC, Bors P, Ewing R, Killingsworth R: Indicators of activity-friendly communities: an evidence-based consensus process. Am J Prev Med. 2006, 31 (6): 515-524. 10.1016/j.amepre.2006.07.026.CrossRefPubMed
26.
Waterlander WE, Steenhuis IH, de Vet E, Schuit AJ, Seidell JC: Expert views on most suitable monetary incentives on food to stimulate healthy eating. Eur J Public Health. 2009
27.
Pikora T, Giles-Corti B, Bull F, Jamrozik K, Donovan R: Developing a framework for assessment of the environmental determinants of walking and cycling. Soc Sci Med. 2003, 56 (8): 1693-1703. 10.1016/S0277-9536(02)00163-6.CrossRefPubMed
28.
Goodman CM: The Delphi technique: a critique. J Adv Nurs. 1987, 12 (6): 729-734. 10.1111/j.1365-2648.1987.tb01376.x.CrossRefPubMed
29.
Panter JR, Jones AP, van Sluijs EM: Environmental determinants of active travel in youth: A review and framework for future research. Int J Behav Nutr Phys Act. 2008, 5: 34-10.1186/1479-5868-5-34.CrossRefPubMedPubMedCentral
30.
Clark MI, Berry TR, Spence JC, Nykiforuk C, Carlson M, Blanchard C: Key stakeholder perspectives on the development of walkable neighbourhoods. Health Place. 2010, 16 (1): 43-50. 10.1016/j.healthplace.2009.08.001.CrossRefPubMed
31.
Millstone E, Lobstein T: The PorGrow project: overall cross-national results, comparisons and implications. Obes Rev. 2007, 8 (Suppl 2): 29-36.CrossRefPubMed
32.
Yancey AK, Cole BL, McCarthy WJ: A Graphical, Computer-Based Decision-Support Tool to Help Decision Makers Evaluate Policy Options Relating to Physical Activity. Am J Prev Med. 2010, 39 (3): 273-279. 10.1016/j.amepre.2010.05.013.CrossRefPubMed
Metadata
Title
Feasibility of multi-sector policy measures that create activity-friendly environments for children: results of a Delphi study
Authors
Marie-Jeanne Aarts
Albertine J Schuit
Ien AM van de Goor
Hans AM van Oers
Publication date
01-12-2011
Publisher
BioMed Central
Published in
Implementation Science / Issue 1/2011
Electronic ISSN: 1748-5908
DOI
https://doi.org/10.1186/1748-5908-6-128

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