Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods

Obesity Reviews

Volumn 17, Issue , 2016, Pages 31-41

  Roda, C ^a   Charreire, H ^a,b   Feuillet, T ^a   Mackenbach, J D ^c   Compernolle, S ^d   Glonti, K ^e   Ben Rebah, M ^a   Bardos H ^f   Rutter, H ^e   Mckee, M ^e   De Bourdeaudhuij, I ^d   Brug, J ^c   Lakerveld, J ^c   Oppert, J M ^a,g,h  

^a COMUE Sorbonne Paris Cité ^*  (France)

^b UNIVERSITÉ PARIS EST CRÉTEIL   (France)

^c VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^d GHENT UNIVERSITY   (Belgium)

^e LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^f UNIVERSITY OF DEBRECEN   (Hungary)

^g SORBONNE UNIVERSITÉ   (France)

^h ASSISTANCE PUBLIQUE HÔPITAUX DE PARIS   (France)

Author keywords

Built environment; Perception; SPOTLIGHT; Virtual audit

Indexed keywords

HUMAN; KAPPA STATISTICS; LINEAR REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MODEL; NEIGHBORHOOD; PERCEPTION; QUANTITATIVE STUDY; RESIDENT; BELGIUM; CROSS-SECTIONAL STUDY; CYCLING; DEMOGRAPHY; ENVIRONMENTAL PLANNING; FRANCE; HUNGARY; MOTOR ACTIVITY; NETHERLANDS; OBESITY; QUESTIONNAIRE; SOCIOECONOMICS; UNITED KINGDOM; WALKING;

BELGIUM; BICYCLING; CROSS-SECTIONAL STUDIES; ENVIRONMENT DESIGN; FRANCE; HUMANS; HUNGARY; MOTOR ACTIVITY; NETHERLANDS; OBESITY; RESIDENCE CHARACTERISTICS; SOCIOECONOMIC FACTORS; SURVEYS AND QUESTIONNAIRES; UNITED KINGDOM; WALKING;

EID: 84958545636     PISSN: 14677881     EISSN: 1467789X     Source Type: Journal    
DOI: 10.1111/obr.12376     Document Type: Article

References (50)

1. Papas MA, Alberg AJ, Ewing R et al. The built environment and obesity. Epidemiol Rev 2007; 29: 129-143.
2. Feng J, Glass TA, Curriero FC et al. The built environment and obesity: a systematic review of the epidemiologic evidence. Health Place 2010; 16: 175-190.
3. Mackenbach JD, Rutter H, Compernolle S et al. Obesogenic environments: a systematic review of the association between the physical environment and adult weight status, the SPOTLIGHT project. BMC Public Health 2014; 14: 233.
4. Brownson RC, Hoehner CM, Day K et al. Measuring the built environment for physical activity. Am J Prev Med 2009; 36: S99-123.e12.
5. Charreire H, Casey R, Salze P et al. Measuring the food environment using geographical information systems: a methodological review. Public Health Nutr 2010; 13: 1773-1785.
6. Lin L, Moudon AV. Objective versus subjective measures of the built environment, which are most effective in capturing associations with walking? Health Place 2010; 16: 339-348.
7. Bailey EJ, Malecki KC, Engelman CD et al. Predictors of discordance between perceived and objective neighborhood data. Ann Epidemiol 2014; 24: 214-221.
8. Boehmer TK, Hoehner CM, Deshpande AD et al. Perceived and observed neighborhood indicators of obesity among urban adults. Int J Obes 2005 2007; 31: 968-977.
9. Ma L, Dill J. Associations between the objective and perceived built environment and bicycling for transportation. J Transp Health 2015; 2: 248-255.
10. Ball K, Jeffery RW, Crawford DA et al. Mismatch between perceived and objective measures of physical activity environments. Prev Med 2008; 47: 294-298.
11. Barnes TL, Bell BA, Freedman DA et al. Do people really know what food retailers exist in their neighborhood? Examining GIS-based and perceived presence of retail food outlets in an eight-county region of South Carolina. Spat Spatio-Temporal Epidemiol 2015; 13: 31-40.
12. Caspi CE, Kawachi I, Subramanian SV et al. The relationship between diet and perceived and objective access to supermarkets among low-income housing residents. Soc Sci Med 1982 2012; 75: 1254-1262.
13. Gebel K, Bauman A, Owen N. Correlates of non-concordance between perceived and objective measures of walkability. Ann Behav Med Publ Soc Behav Med 2009; 37: 228-238.
14. Gebel K, Bauman AE, Sugiyama T et al. Mismatch between perceived and objectively assessed neighborhood walkability attributes: prospective relationships with walking and weight gain. Health Place 2011; 17: 519-524.
15. Kirtland KA, Porter DE, Addy CL et al. Environmental measures of physical activity supports: perception versus reality. Am J Prev Med 2003; 24: 323-331.
16. Lackey KJ, Kaczynski AT. Correspondence of perceived vs. objective proximity to parks and their relationship to park-based physical activity. Int J Behav Nutr Phys Act 2009; 6: 53.
17. Leslie E, Sugiyama T, Ierodiaconou D et al. Perceived and objectively measured greenness of neighbourhoods: are they measuring the same thing? Landsc Urban Plan 2010; 95: 28-33.
18. Macintyre S, Macdonald L, Ellaway A. Lack of agreement between measured and self-reported distance from public green parks in Glasgow, Scotland. Int J Behav Nutr Phys Act 2008; 5: 26.
19. McCormack GR, Cerin E, Leslie E et al. Objective versus perceived walking distances to destinations correspondence and predictive validity. Environ Behav 2008; 40: 401-425.
20. McGinn AP, Evenson KR, Herring AH et al. Exploring associations between physical activity and perceived and objective measures of the built environment. J Urban Health Bull N Y Acad Med 2007; 84: 162-184.
21. Koohsari MJ, Badland H, Sugiyama T et al. Mismatch between perceived and objectively measured land use mix and street connectivity: associations with neighborhood walking. J Urban Health Bull N Y Acad Med 2015; 92: 242-252.
22. Kamphuis CBM, Mackenbach JP, Giskes K, Huisman M, Brug J, van Lenthe FJ. Why do poor people perceive poor neighbourhoods? The role of objective neighbourhood features and psychosocial factors. Health Place 2010; 16: 744-754.
23. Boehmer TK, Hoehner CM, Wyrwich KW et al. Correspondence between perceived and observed measures of neighborhood environmental supports for physical activity. J Phys Act Health 2006; 3: 22.
24. Bethlehem JR, Mackenbach JD, Ben-Rebah M et al. The SPOTLIGHT virtual audit tool: a valid and reliable tool to assess obesogenic characteristics of the built environment. Int J Health Geogr 2014; 13: 52.
25. Charreire H, Mackenbach JD, Ouasti M et al. Using remote sensing to define environmental characteristics related to physical activity and dietary behaviours: a systematic review (the SPOTLIGHT project). Health Place 2014; 25: 1-9.
26. Curtis JW, Curtis A, Mapes J et al. Using Google Street View for systematic observation of the built environment: analysis of spatio-temporal instability of imagery dates. Int J Health Geogr 2013; 12: 53.
27. Griew P, Hillsdon M, Foster C et al. Developing and testing a street audit tool using Google Street View to measure environmental supportiveness for physical activity. Int J Behav Nutr Phys Act 2013; 10: 103.
28. Kelly CM, Wilson JS, Baker EA et al. Using Google Street View to audit the built environment: inter-rater reliability results. Ann Behav Med Publ Soc Behav Med 2013; 45(Suppl 1): S108-112.
29. Odgers CL, Caspi A, Bates CJ et al. Systematic social observation of children's neighborhoods using Google Street View: a reliable and cost-effective method. J Child Psychol Psychiatry 2012; 53: 1009-1017.
30. Rundle AG, Bader MDM, Richards CA et al. Using Google Street View to audit neighborhood environments. Am J Prev Med 2011; 40: 94-100.
31. Lakerveld J, Brug J, Bot S et al. Sustainable prevention of obesity through integrated strategies: The SPOTLIGHT project's conceptual framework and design. BMC Public Health 2012; 12: 793.
32. Lakerveld J, Ben-Rebah M, Mackenbach JD et al. Obesity-related behaviours and BMI in five urban regions across Europe: sampling design and results from the SPOTLIGHT cross-sectional survey. BMJ Open 2015; 5 e008505. DOI: 10.1136/bmjopen-2015-008505.
33. Spittaels H, Foster C, Oppert J-M et al. Assessment of environmental correlates of physical activity: development of a European questionnaire. Int J Behav Nutr Phys Act 2009; 6: 39.
34. Curl CL, Beresford SAA, Hajat A et al. Associations of organic produce consumption with socioeconomic status and the local food environment: Multi-Ethnic Study of Atherosclerosis (MESA). PLoS One 2013; 8: e69778.
35. Feuillet T, Charreire H, Roda C et al. Neighbourhood typology based on virtual audit of environmental obesogenic characteristics. Obes Rev 2016; 17(Suppl. 1): 19-30.
36. Charreire H, Feuillet T, Roda C et al. Self-defined residential neighbourhoods: size variations and correlates across five European urban regions. Obes Rev 2016; 17(Suppl. 1): 9-18.
37. Environmental Systems Research Institute. ArcGIS 10.1. Redlands, CA, 2012.
38. Mohnen SM, Groenewegen PP, Völker B et al. Neighborhood social capital and individual health. Soc Sci Med 1982 2011; 72: 660-667.
39. de Jong K, Albin M, Skärbäck E et al. Area-aggregated assessments of perceived environmental attributes may overcome single-source bias in studies of green environments and health: results from a cross-sectional survey in southern Sweden. Environ Health Glob Access Sci Source 2011; 10: 4.
40. Mujahid MS, Diez Roux AV, Morenoff JD et al. Assessing the measurement properties of neighborhood scales: from psychometrics to ecometrics. Am J Epidemiol 2007; 165: 858-867.
41. Fleiss JL. Statistical Methods for Rates and Proportions. John Wiley & Sons, New York, 1981.
42. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977; 33: 159-174.
43. Husson F, Le S, Pages J. Exploratory Multivariate Analysis by Example Using R. CRC Press: Boca Raton, 2010.
44. Lê S, Rennes A, Josse J et al. FactoMineR: an R package for multivariate analysis. J Stat Softw 2008; 25: 1-18.
45. R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing, 2015.
46. Coulton CJ, Korbin J, Chan T et al. Mapping residents' perceptions of neighborhood boundaries: a methodological note. Am J Community Psychol 2001; 29: 371-383.
47. Coulton CJ, Jennings MZ, Chan T. How big is my neighborhood? Individual and contextual effects on perceptions of neighborhood scale. Am J Community Psychol 2013; 51: 140-150.
48. Adams MA, Frank LD, Schipperijn J et al. International variation in neighborhood walkability, transit, and recreation environments using geographic information systems: the IPEN adult study. Int J Health Geogr 2014; 13: 43.
49. Giles-Corti B, Hooper P, Foster S et al. Evidence review: Low density development: impacts on physical activity and associated health outcomes. National Heart Found Aust 2014: 1-53.
50. Szklo M, Nieto J. Epidemiology: Beyond the Basics. Jones & Bartlett Publishers, Burlington 2012.