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Diabetes and the Built Environment: Evidence and Policies

Abstract

Purpose of Review

To explore the relationship between the built environment and type 2 diabetes, considering both risk factors and policies to reduce risk. The built environment refers to the physical characteristics of the areas in which people live including buildings, streets, open spaces, and infrastructure.

Recent Findings

A review of current literature suggests an association between the built environment and type 2 diabetes, likely driven by two key pathways—physical activity and the food environment. Other hypothesized mechanisms linking the built environment and type 2 diabetes include housing policy, but evidence in these areas is underdeveloped.

Summary

Policies designed to enhance the built environment for diabetes risk reduction are mechanistically plausible, but as of yet, little direct evidence supports their effectiveness in reducing in type 2 diabetes risk. Future work should rigorously evaluate policies meant to reduce type 2 diabetes via the built environment.

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References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. National Center for Chronic Disease Prevention and Health Promotion. National Diabetes Statistics Report, 2017. Centers for disease control and prevent. US Department of Health and Human Service; 2017.

  2. Risk Factors for Type 2 Diabetes. NIDDK. 2016. https://www.niddk.nih.gov/health-information/diabetes/overview/risk-factors-type-2-diabetes. Accessed 1 Mar 2019.

  3. American Diabetes Association. Economic costs of diabetes in the U.S. in 2017. Diabetes Care. 2018;41(5):917–28.

    PubMed Central  Article  Google Scholar 

  4. Nathan A, Villanueva K, Rozek J, Davern M, Gunn L, Trapp G, et al. The role of the built environment on health across the life course: a call for CollaborACTION. Am J Health Promot. 2018;32(6):1460–8.

    PubMed  Article  Google Scholar 

  5. Singh GK, Siahpush M, Kogan MD. Neighborhood socioeconomic conditions, built environments, and childhood obesity. Health Aff (Millwood). 2010;29(3):503–12.

    Article  Google Scholar 

  6. Astell-Burt T, Feng X, Kolt GS. Is neighborhood green space associated with a lower risk of type 2 diabetes? Evidence from 267,072 Australians. Diabetes Care. 2014;37(1):197–201.

    Article  Google Scholar 

  7. Bodicoat DH, Carter P, Comber A, Edwardson C, Gray LJ, Hill S, et al. Is the number of fast-food outlets in the neighbourhood related to screen-detected type 2 diabetes mellitus and associated risk factors? Public Health Nutr. 2015;18(9):1698–705.

    PubMed  Article  Google Scholar 

  8. Chandrabose M, Rachele JN, Gunn L, Kavanagh A, Owen N, Turrell G, et al. Built environment and cardio-metabolic health: systematic review and meta-analysis of longitudinal studies. Obes Rev. 2019;20(1):41–54.

    CAS  PubMed  Article  Google Scholar 

  9. Dalton AM, Jones AP, Sharp SJ, Cooper AJM, Griffin S, Wareham NJ. Residential neighbourhood greenspace is associated with reduced risk of incident diabetes in older people: a prospective cohort study. BMC Public Health. 2016;16(1):1171.

    PubMed  PubMed Central  Article  Google Scholar 

  10. den Braver NR, Lakerveld J, Rutters F, Schoonmade LJ, Brug J, Beulens JWJ. Built environmental characteristics and diabetes: a systematic review and meta-analysis. BMC Med. 2018;16(1):12.

    Article  Google Scholar 

  11. Dendup T, Feng X, Clingan S, Astell-Burt T. Environmental risk factors for developing type 2 diabetes mellitus: a systematic review. Int J Environ Res Public Health. 2018;15(1). https://doi.org/10.3390/ijerph15010078.

    Article  Google Scholar 

  12. Garcia L, Lee A, Zeki Al Hazzouri A, Neuhaus JM, Moyce S, Aiello A, et al. Influence of neighbourhood socioeconomic position on the transition to type II diabetes in older Mexican Americans: the Sacramento Area Longitudinal Study on Aging. BMJ Open. 2016;6(8):e010905.

    PubMed  PubMed Central  Article  Google Scholar 

  13. Herrick CJ, Yount BW, Eyler AA. Implications of supermarket access, neighbourhood walkability and poverty rates for diabetes risk in an employee population. Public Health Nutr. 2016;19(11):2040–8.

    PubMed  Article  Google Scholar 

  14. Kern DM, Auchincloss AH, Stehr MF, Diez Roux AV, Moore KA, Kanter GP, et al. Neighborhood price of healthier food relative to unhealthy food and its association with type 2 diabetes and insulin resistance: the multi-ethnic study of atherosclerosis. Prev Med. 2018;106:122–9.

    PubMed  Article  Google Scholar 

  15. Mezuk B, Li X, Cederin K, Rice K, Sundquist J, Sundquist K. Beyond access: characteristics of the food environment and risk of diabetes. Am J Epidemiol. 2016;183(12):1129–37.

    PubMed  PubMed Central  Article  Google Scholar 

  16. Sarkar C, Webster C, Gallacher J. Are exposures to ready-to-eat food environments associated with type 2 diabetes? A cross-sectional study of 347 551 UK Biobank adult participants. Lancet Planet Health. 2018;2(10):e438–50.

    PubMed  Article  Google Scholar 

  17. Smalls BL, Gregory CM, Zoller JS, Egede LE. Assessing the relationship between neighborhood factors and diabetes related health outcomes and self-care behaviors. BMC Health Serv Res. 2015;15(1):445.

    PubMed  PubMed Central  Article  Google Scholar 

  18. Tait CA, L’Abbé MR, Smith PM, Rosella LC. The association between food insecurity and incident type 2 diabetes in Canada: a population-based cohort study. PLoS One. 2018;13(5):e0195962.

    PubMed  PubMed Central  Article  Google Scholar 

  19. Black JL, Macinko J. Neighborhoods and obesity. Nutr Rev. 2008;66(1):2–20.

    PubMed  Article  Google Scholar 

  20. Kivimäki M, Vahtera J, Tabák AG, Halonen JI, Vineis P, Pentti J, et al. Neighbourhood socioeconomic disadvantage, risk factors, and diabetes from childhood to middle age in the Young Finns Study: a cohort study. Lancet Public Health. 2018;3(8):e365–73.

    PubMed  PubMed Central  Article  Google Scholar 

  21. Kivimäki M, Virtanen M, Kawachi I, Nyberg ST, Alfredsson L, Batty GD, et al. Long working hours, socioeconomic status, and the risk of incident type 2 diabetes: a meta-analysis of published and unpublished data from 222 120 individuals. Lancet Diabetes Endocrinol. 2015;3(1):27–34.

    PubMed  PubMed Central  Article  Google Scholar 

  22. •• Bilal U, Auchincloss AH, Diez-Roux AV. Neighborhood environments and diabetes risk and control. Curr Diab Rep. 2018;18(9):62. Extremely thorough and well conducted overview of the evidence regarding the association between neighborhood environment and diabetes.

    PubMed  Article  Google Scholar 

  23. •• Sundquist K, Eriksson U, Mezuk B, Ohlsson H. Neighborhood walkability, deprivation and incidence of type 2 diabetes: a population-based study on 512,061 Swedish adults. Health Place. 2015;31:24–30. This study describes the association between built environment feature of neighborhood walkability and type 2 diabetes, but highlights the importance of considering compositional and contextual characteristics in future studies.

    PubMed  Article  Google Scholar 

  24. Booth GL, Creatore MI, Moineddin R, Gozdyra P, Weyman JT, Matheson FI, et al. Unwalkable neighborhoods, poverty, and the risk of diabetes among recent immigrants to Canada compared with long-term residents. Diabetes Care. 2013;36(2):302–8.

    PubMed  PubMed Central  Article  Google Scholar 

  25. Creatore MI, Glazier RH, Moineddin R, Fazli GS, Johns A, Gozdyra P, et al. Association of neighborhood walkability with change in overweight, obesity, and diabetes. JAMA. 2016;315(20):2211–20.

    CAS  PubMed  Article  Google Scholar 

  26. Durand CP, Andalib M, Dunton GF, Wolch J, Pentz MA. A systematic review of built environment factors related to physical activity and obesity risk: implications for smart growth urban planning. Obes Rev. 2011;12(501):e173–82.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  27. Bauman AE, Reis RS, Sallis JF, Wells JC, Loos RJF, Martin BW, et al. Correlates of physical activity: why are some people physically active and others not? Lancet. 2012;380(9838):258–71.

    PubMed  Article  Google Scholar 

  28. Owen N, Sugiyama T, Koohsari MJ, De Bourdeaudhuij I, Hadgraft N, Oyeyemi A, et al. Associations of neighborhood environmental attributes with adults’ objectively-assessed sedentary time: IPEN adult multi-country study. Prev Med. 2018;115:126–33.

    PubMed  Article  Google Scholar 

  29. Wendel-Vos W, Droomers M, Kremers S, Brug J, van Lenthe F. Potential environmental determinants of physical activity in adults: a systematic review. Obes Rev. 2007;8(5):425–40.

    CAS  PubMed  Article  Google Scholar 

  30. Sallis JF, Cerin E, Conway TL, Adams MA, Frank LD, Pratt M, et al. Physical activity in relation to urban environments in 14 cities worldwide: a cross-sectional study. Lancet. 2016;387(10034):2207–17.

    PubMed  Article  Google Scholar 

  31. Wong MS, Roberts ET, Arnold CM, Pollack CE. HUD housing assistance and levels of physical activity among low-income adults. Prev Chronic Dis. 2018;15. https://doi.org/10.5888/pcd15.170517.

  32. Smith M, Hosking J, Woodward A, Witten K, MacMillan A, Field Aet al. Systematic literature review of built environment effects on physical activity and active transport – an update and new findings on health equity. Int J Behav Nutr Phys Act [Internet]. 2017 Nov 16 [cited 2019 Jan 7];14:158. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5693449/.

  33. Laraia BA, Karter AJ, Warton EM, Schillinger D, Moffet HH, Adler N. Place matters: neighborhood deprivation and cardiometabolic risk factors in the Diabetes Study of Northern California (DISTANCE). Soc Sci Med. 2012;74:1082–90.

    PubMed  PubMed Central  Article  Google Scholar 

  34. •• Garfinkel-Castro A, Kim K, Hamidi S, Ewing R. Obesity and the built environment at different urban scales: examining the literature. Nutr Rev. 2017;75:51–61. Key review of the evidence to date on built environment policies and obesity, and provides a useful framework for understanding levels at which policies may act.

    PubMed  Article  Google Scholar 

  35. Frank LD, Andresen MA, Schmid TL. Obesity relationships with community design, physical activity, and time spent in cars. Am J Prev Med. 2004;27(2):87–96.

    PubMed  Article  Google Scholar 

  36. Troy AR, Bonnell LN, Littenberg B. Relationship between the built environment and body mass index in a rural context: a cross-sectional study from Vermont. Cureus. 2018;10(7):e3040.

    PubMed  PubMed Central  Google Scholar 

  37. Laraia BA, Downing JM, Zhang YT, Dow WH, Kelly M, Blanchard SD, et al. Food environment and weight change: does residential mobility matter? Am J Epidemiol. 2017;185(9):743–50.

    PubMed  PubMed Central  Article  Google Scholar 

  38. •• Arnason T, Tanuseputro P, Tuna M, Manuel D. Municipal transportation policy as a population health intervention: estimating the impact of the City of Ottawa Transportation Master Plan on diabetes incidence. Can J Public Health. 2019. https://doi.org/10.17269/s41997-018-0168-9. This study is one of few that attempts to quantify the potential impact on diabetes of municipal policy aimed at increasing active transport.

    PubMed  Article  Google Scholar 

  39. Transportation master plan. Ottawa City Services. 2013.

  40. Mackenbach JD, Rutter H, Compernolle S, Glonti K, Oppert J-M, Charreire H, 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.

    PubMed  PubMed Central  Article  Google Scholar 

  41. Resnik DB. Urban sprawl, smart growth, and deliberative democracy. Am J Public Health. 2010;100(10):1852–6.

    PubMed  PubMed Central  Article  Google Scholar 

  42. Spears S, Boarnet MG, Handy S, Rodier C. Impacts of land-use mix on passenger vehicle use and greenhouse gas emissions, vol. 6; 2014.

    Google Scholar 

  43. Purnell JQ, Herrick C, Moreland-Russell S, Eyler AA. Outside the exam room: policies for connecting clinic to community in diabetes prevention and treatment. Prev Chronic Dis. 2015;12. https://doi.org/10.5888/pcd12.140403.

  44. • Macridis S, Garcia Bengoechea E, McComber AM, Jacobs J, Macaulay AC, Members of the Kahnawake Schools Diabetes Prevention Project-School Travel Planning Committee. Active transportation to support diabetes prevention: expanding school health promotion programming in an indigenous community. Eval Program Plann. 2016;56:99–108. Key description of a collaborative effort to enact policy changes to enhance the built environment for health promotion.

    PubMed  Article  Google Scholar 

  45. Minkler M, Estrada J, Dyer S, Hennessey-Lavery S, Wakimoto P, Falbe J. Healthy retail as a strategy for improving food security and the built environment in San Francisco. Am J Public Health. 2019;109(S2):S137–40.

    PubMed  PubMed Central  Article  Google Scholar 

  46. Peek ME, Wilkes AE, Roberson TS, Goddu AP, Nocon RS, Tang H, et al. Early lessons from an initiative on Chicago’s south side to reduce disparities in diabetes care and outcomes. Health Aff. 2012;31(1):177–87.

    Article  Google Scholar 

  47. Strauss WJ, Nagaraja J, Landgraf AJ, Arteaga SS, Fawcett SB, Ritchie LD, et al. The longitudinal relationship between community programmes and policies to prevent childhood obesity and BMI in children: the Healthy Communities Study. Pediatr Obes. 2018;13(Suppl 1):82–92.

    PubMed  Article  Google Scholar 

  48. Ludwig J, Sanbonmatsu L, Gennetian L, Adam E, Duncan GJ, Katz LF, et al. Neighborhoods, obesity, and diabetes--a randomized social experiment. N Engl J Med. 2011;365(16):1509–19.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  49. • Fazli GS, Creatore MI, Matheson FI, Guilcher S, Kaufman-Shriqui V, Manson H, et al. Identifying mechanisms for facilitating knowledge to action strategies targeting the built environment. BMC Public Health. 2017;17 Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210277/. This paper highlights the need for consensus on built environment measures and monitoring.

  50. Giles-Corti B, Sallis JF, Sugiyama T, Frank LD, Lowe M, Owen N. Translating active living research into policy and practice: one important pathway to chronic disease prevention. J Public Health Policy. 2015;36(2):231–43.

    PubMed  Article  Google Scholar 

  51. Cheadle A, Cromp D, Krieger JW, Chan N, McNees M, Ross-Viles S, et al. Promoting policy, systems, and environment change to prevent chronic disease: lessons learned from the king county communities putting prevention to work initiative. J Public Health Manag Pract. 2016;22(4):348–59.

    PubMed  Article  Google Scholar 

  52. Coghill C-L, Valaitis RK, Eyles JD. Built environment interventions aimed at improving physical activity levels in rural Ontario health units: a descriptive qualitative study. BMC Public Health. 2015;15:464.

    PubMed  PubMed Central  Article  Google Scholar 

  53. Politis CE, Mowat DL, Keen D. Pathways to policy: lessons learned in multisectoral collaboration for physical activity and built environment policy development from the Coalitions Linking Action and Science for Prevention (CLASP) initiative. Can J Public Health. 2017;108(2):e192–8.

    PubMed  Article  Google Scholar 

  54. Miro A, Perrotta K, Evans H, Kishchuk NA, Gram C, Stanwick RS, et al. Building the capacity of health authorities to influence land use and transportation planning: Lessons learned from the Healthy Canada by Design CLASP Project in British Columbia. Can J Public Health. 2014;106(1 Suppl 1):eS40–52.

    PubMed  Google Scholar 

  55. Campbell JA, Walker RJ, Smalls BL, Egede LE. Glucose control in diabetes: the impact of racial differences on monitoring and outcomes. Endocrine. 2012;42(3):471–82.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  56. Heidemann DL, Joseph NA, Kuchipudi A, Perkins DW, Drake S. Racial and economic disparities in diabetes in a large primary care patient population. Ethn Dis. 2016;6(1):85–90.

    Article  Google Scholar 

  57. Saydah S, Lochner K. Socioeconomic status and risk of diabetes-related mortality in the U.S. Public Health Rep. 2010;125(3):377–88.

    PubMed  PubMed Central  Article  Google Scholar 

  58. Spanakis EK, Golden SH. Race/ethnic difference in diabetes and diabetic complications. Curr Diab Rep. 2013;13(6):814–23.

    PubMed  Article  Google Scholar 

  59. Seligman HK, Bindman AB, Vittinghoff E, Kanaya AM, Kushel MB. Food insecurity is associated with diabetes mellitus: results from the National Health Examination and Nutrition Examination Survey (NHANES) 1999-2002. J Gen Intern Med. 2007;22(7):1018–23.

    PubMed  PubMed Central  Article  Google Scholar 

  60. Seligman HK, Jacobs EA, López A, Tschann J, Fernandez A. Food insecurity and glycemic control among low-income patients with type 2 diabetes. Diabetes Care. 2012;35(2):233–8.

    PubMed  PubMed Central  Article  Google Scholar 

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Funding

Seth A. Berkowitz’s role in the research reported in this publication was supported by the National Institute Of Diabetes And Digestive And Kidney Diseases of the National Institutes of Health under Award Number K23DK109200.

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Correspondence to Seth A. Berkowitz.

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This article is part of the Topical Collection on Economics and Policy in Diabetes

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Amuda, A.T., Berkowitz, S.A. Diabetes and the Built Environment: Evidence and Policies. Curr Diab Rep 19, 35 (2019). https://doi.org/10.1007/s11892-019-1162-1

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Keywords

  • Type 2 diabetes mellitus
  • Built environment
  • Diabetes risk
  • Health policy