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Journal of Urban Health

, Volume 96, Issue 2, pp 289–299 | Cite as

Understanding Embodiment in Place-Health Research: Approaches, Limitations, and Opportunities

  • Ryan PettewayEmail author
  • Mahasin Mujahid
  • Amani Allen
Article

Abstract

Research on how place affects health continues to grow. Within the place-health research field, there is increasing focus on how place becomes embodied—i.e., how place-based social and environmental experiences and exposures “get under our skin” to affect physiological functioning and health. While much has been learned, currently favored place-embodiment research approaches present limitations that inhibit continued gains in understanding. This article presents a brief summary of place-health literature related to place-embodiment, highlighting common approaches. Core limitations are then discussed with an eye towards improving research going forward, highlighting mixed-method, spatially dynamic, and participatory intergenerational approaches as promising considerations.

Keywords

Neighborhoods and health Place and health Embodiment Biometrics Allostatic load Intergenerational research Qualitative methods Participatory research 

Notes

Acknowledgements

The authors would like to thank Dr. Rachel Morello‐Frosch for her contributions in shaping early versions of this manuscript and guiding its initial development.

References

  1. 1.
    Pickett KE, Pearl M. Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review. J Epidemiol Community Health. 2001;55(2):111–22.Google Scholar
  2. 2.
    Sampson RJ, Morenoff JD, Gannon-Rowley T. Assessing “neighborhood effects”: social processes and new directions in research. Annu Rev Sociol. 2002;28(1):443–78.  https://doi.org/10.1146/annurev.soc.28.110601.141114.Google Scholar
  3. 3.
    Riva M, Gauvin L, Barnett TA. Toward the next generation of research into small area effects on health: a synthesis of multilevel investigations published since July 1998. J Epidemiol Community Health. 2007;61(10):853–61.  https://doi.org/10.1136/jech.2006.050740.Google Scholar
  4. 4.
    Diez Roux AV, Mair C. Neighborhoods and health: neighborhoods and health. Ann N Y Acad Sci. 2010;1186(1):125–45.  https://doi.org/10.1111/j.1749-6632.2009.05333.x.Google Scholar
  5. 5.
    Macintyre S, Ellaway A, Cummins S. Place effects on health: how can we conceptualise, operationalise and measure them? Soc Sci Med. 2002;55(1):125–39.Google Scholar
  6. 6.
    Cummins S. Commentary: investigating neighbourhood effects on health--avoiding the “local trap”. Int J Epidemiol. 2007;36(2):355–7.  https://doi.org/10.1093/ije/dym033.Google Scholar
  7. 7.
    Cummins S, Curtis S, Diez-Roux AV, Macintyre S. Understanding and representing ‘place’ in health research: a relational approach. Soc Sci Med. 2007;65(9):1825–38.  https://doi.org/10.1016/j.socscimed.2007.05.036.Google Scholar
  8. 8.
    Bernard P, Charafeddine R, Frohlich KL, Daniel M, Kestens Y, Potvin L. Health inequalities and place: a theoretical conception of neighbourhood. Soc Sci Med. 2007;65(9):1839–52.  https://doi.org/10.1016/j.socscimed.2007.05.037.Google Scholar
  9. 9.
    Matthews SA. The salience of neighborhood. Am J Prev Med. 2008;34(3):257–9.  https://doi.org/10.1016/j.amepre.2007.12.001.Google Scholar
  10. 10.
    Chaix B, Merlo J, Evans D, Leal C, Havard S. Neighbourhoods in eco-epidemiologic research: delimiting personal exposure areas. A response to Riva, Gauvin, Apparicio and Brodeur. Soc Sci Med. 2009;69(9):1306–10.  https://doi.org/10.1016/j.socscimed.2009.07.018.Google Scholar
  11. 11.
    O’Campo P. Invited commentary: advancing theory and methods for multilevel models of residential neighborhoods and health. Am J Epidemiol. 2003;157(1):9–13.  https://doi.org/10.1093/aje/kwf171.Google Scholar
  12. 12.
    Diez Roux AV. Estimating neighborhood health effects: the challenges of causal inference in a complex world. Soc Sci Med. 2004;58(10):1953–60.  https://doi.org/10.1016/S0277-9536(03)00414-3.Google Scholar
  13. 13.
    Diez Roux AV. The study of group-level factors in epidemiology: rethinking variables, study designs, and analytical approaches. Epidemiol Rev. 2004;26(1):104–11.  https://doi.org/10.1093/epirev/mxh006.Google Scholar
  14. 14.
    Frumkin H. The measure of place. Am J Prev Med. 2006;31(6):530–2.Google Scholar
  15. 15.
    Cutchin MP, Eschbach K, Mair CA, Ju H, Goodwin JS. The socio-spatial neighborhood estimation method: an approach to operationalizing the neighborhood concept. Health Place. 2011;17(5):1113–21.  https://doi.org/10.1016/j.healthplace.2011.05.011.Google Scholar
  16. 16.
    Mujahid MS, Diez Roux AV, Morenoff JD, Raghunathan T. Assessing the measurement properties of neighborhood scales: from psychometrics to ecometrics. Am J Epidemiol. 2007;165(8):858–67.  https://doi.org/10.1093/aje/kwm040.Google Scholar
  17. 17.
    Riva M, Apparicio P, Gauvin L, Brodeur J-M. Establishing the soundness of administrative spatial units for operationalising the active living potential of residential environments: an exemplar for designing optimal zones. Int J Health Geogr. 2008;7(1):43.  https://doi.org/10.1186/1476-072X-7-43.Google Scholar
  18. 18.
    Kwan M-P. From place-based to people-based exposure measures. Soc Sci Med. 2009;69(9):1311–3.  https://doi.org/10.1016/j.socscimed.2009.07.013.Google Scholar
  19. 19.
    Spielman SE, Yoo E. The spatial dimensions of neighborhood effects. Soc Sci Med. 2009;68(6):1098–105.  https://doi.org/10.1016/j.socscimed.2008.12.048.Google Scholar
  20. 20.
    Rainham D, McDowell I, Krewski D, Sawada M. Conceptualizing the healthscape: contributions of time geography, location technologies and spatial ecology to place and health research. Soc Sci Med. 2010;70(5):668–76.  https://doi.org/10.1016/j.socscimed.2009.10.035.Google Scholar
  21. 21.
    Matthews SA. Spatial polygamy and the heterogeneity of place: studying people and place via egocentric methods. In: Burton LM, Matthews SA, Leung M, Kemp SP, Takeuchi DT, editors. Communities, neighborhoods, and health. New York: Springer New York; 2011. p. 35–55.  https://doi.org/10.1007/978-1-4419-7482-2_3.Google Scholar
  22. 22.
    Krieger N. Theories for social epidemiology in the 21st century: an ecosocial perspective. Int J Epidemiol. 2001;30(4):668–77.  https://doi.org/10.1093/ije/30.4.668.Google Scholar
  23. 23.
    Curtis S, Southall H, Congdon P, Dodgeon B. Area effects on health variation over the life-course: analysis of the longitudinal study sample in England using new data on area of residence in childhood. Soc Sci Med. 2004;58(1):57–74.  https://doi.org/10.1016/S0277-9536(03)00149-7.Google Scholar
  24. 24.
    Seeman T, Epel E, Gruenewald T, Karlamangla A, BS ME. Socio-economic differentials in peripheral biology: cumulative allostatic load: SES peripheral biology. Ann N Y Acad Sci. 2010;1186(1):223–39.  https://doi.org/10.1111/j.1749-6632.2009.05341.x.Google Scholar
  25. 25.
    Gustafsson PE, San Sebastian M, Janlert U, Theorell T, Westerlund H, Hammarström A. Life-course accumulation of neighborhood disadvantage and allostatic load: empirical integration of three social determinants of health frameworks. Am J Public Health. 2014;104(5):904–10.Google Scholar
  26. 26.
    Krieger N. Embodiment: a conceptual glossary for epidemiology. J Epidemiol Community Health. 2005;59(5):350–5.  https://doi.org/10.1136/jech.2004.024562.Google Scholar
  27. 27.
    Krieger N. Epidemiology and the web of causation: has anyone seen the spider? Soc Sci Med. 1994;39(7):887–903.  https://doi.org/10.1016/0277-9536(94)90202-X.Google Scholar
  28. 28.
    Krieger N. Embodying Inequality: Epidemiologic Perspectives. Amityville: Baywood Pub; 2005.Google Scholar
  29. 29.
    Krieger N. “Bodies count,” and body counts: social epidemiology and embodying inequality. Epidemiol Rev. 2004;26(1):92–103.  https://doi.org/10.1093/epirev/mxh009.Google Scholar
  30. 30.
    Geronimus AT. The weathering hypothesis and the health of African-American women and infants: evidence and speculations. Ethn Dis. 1992;2(3):207–21.Google Scholar
  31. 31.
    McEwen BS, Stellar E. Stress and the individual. mechanisms leading to disease. Arch Intern Med. 1993;153(18):2093–101.Google Scholar
  32. 32.
    McEwen BS. Protective and damaging effects of stress mediators. Flier JS, Underhill LH, eds. N Engl J Med 1998;338(3):171–179. doi: https://doi.org/10.1056/NEJM199801153380307
  33. 33.
    McEwen BS, Gianaros PJ. Central role of the brain in stress and adaptation: links to socioeconomic status, health, and disease: central links between stress and SES. Ann N Y Acad Sci. 2010;1186(1):190–222.  https://doi.org/10.1111/j.1749-6632.2009.05331.x.Google Scholar
  34. 34.
    Geronimus AT. Black/white differences in the relationship of maternal age to birthweight: a population-based test of the weathering hypothesis. Soc Sci Med. 1996;42(4):589–97.  https://doi.org/10.1016/0277-9536(95)00159-X.Google Scholar
  35. 35.
    Geronimus AT, Hicken M, Keene D, Bound J. “Weathering” and age patterns of allostatic load scores among blacks and whites in the United States. Am J Public Health. 2006;96(5):826–33.  https://doi.org/10.2105/AJPH.2004.060749.Google Scholar
  36. 36.
    Geronimus AT, Hicken MT, Pearson JA, Seashols SJ, Brown KL, Cruz TD. Do US black women experience stress-related accelerated biological aging?: a novel theory and first population-based test of black-white differences in telomere length. Hum Nat. 2010;21(1):19–38.  https://doi.org/10.1007/s12110-010-9078-0.Google Scholar
  37. 37.
    McEwen BS. Stress, adaptation, and disease. allostasis and allostatic load. Ann N Y Acad Sci. 1998;840:33–44.Google Scholar
  38. 38.
    BS MEWEN, Seeman T. Protective and damaging effects of mediators of stress: elaborating and testing the concepts of allostasis and allostatic load. Ann N Y Acad Sci. 1999;896(1):30–47.  https://doi.org/10.1111/j.1749-6632.1999.tb08103.x.Google Scholar
  39. 39.
    Crimmins EM, Johnston M, Hayward M, Seeman T. Age differences in allostatic load: an index of physiological dysregulation. Exp Gerontol. 2003;38(7):731–4.  https://doi.org/10.1016/S0531-5565(03)00099-8.Google Scholar
  40. 40.
    Gimeno D, Ferrie JE, Elovainio M, Pulkki-Raback L, Keltikangas-Jarvinen L, Eklund C, et al. When do social inequalities in C-reactive protein start? A life course perspective from conception to adulthood in the cardiovascular risk in young Finns study. Int J Epidemiol. 2008;37(2):290–8.  https://doi.org/10.1093/ije/dym244.Google Scholar
  41. 41.
    Pollitt RA, Kaufman JS, Rose KM, Diez-Roux AV, Zeng D, Heiss G. Cumulative life course and adult socioeconomic status and markers of inflammation in adulthood. J Epidemiol Community Health. 2008;62(6):484–91.  https://doi.org/10.1136/jech.2006.054106.Google Scholar
  42. 42.
    Kuzawa CW, Sweet E. Epigenetics and the embodiment of race: developmental origins of US racial disparities in cardiovascular health. Am J Hum Biol. 2009;21(1):2–15.  https://doi.org/10.1002/ajhb.20822.Google Scholar
  43. 43.
    Love C, David RJ, Rankin KM, Collins JW. Exploring weathering: effects of lifelong economic environment and maternal age on low birth weight, small for gestational age, and preterm birth in African-American and white women. Am J Epidemiol. 2010;172(2):127–34.  https://doi.org/10.1093/aje/kwq109.Google Scholar
  44. 44.
    Gustafsson PE, Janlert U, Theorell T, Westerlund H, Hammarstrom A. Socioeconomic status over the life course and allostatic load in adulthood: results from the northern Swedish cohort. J Epidemiol Community Health. 2011;65(11):986–92.  https://doi.org/10.1136/jech.2010.108332.Google Scholar
  45. 45.
    Evans GW, Kim P. Childhood poverty and young adults’ allostatic load: the mediating role of childhood cumulative risk exposure. Psychol Sci. 2012;23(9):979–83.  https://doi.org/10.1177/0956797612441218.Google Scholar
  46. 46.
    Peckins MK, Dockray S, Eckenrode JL, Heaton J, Susman EJ. The longitudinal impact of exposure to violence on cortisol reactivity in adolescents. J Adolesc Health. 2012;51(4):366–72.  https://doi.org/10.1016/j.jadohealth.2012.01.005.Google Scholar
  47. 47.
    Ploubidis GB, Silverwood RJ, DeStavola B, Grundy E. Life-course partnership status and biomarkers in midlife: evidence from the 1958 British birth cohort. Am J Public Health. 2015;105(8):1596–603.Google Scholar
  48. 48.
    Stringhini S, Polidoro S, Sacerdote C, Kelly RS, van Veldhoven K, Agnoli C, et al. Life-course socioeconomic status and DNA methylation of genes regulating inflammation. Int J Epidemiol. 2015;44(4):1320–30.  https://doi.org/10.1093/ije/dyv060.Google Scholar
  49. 49.
    Castagné R, Delpierre C, Kelly-Irving M, Campanella G, Guida F, Krogh V, et al. A life course approach to explore the biological embedding of socioeconomic position and social mobility through circulating inflammatory markers. Sci Rep. 2016;6(1)  https://doi.org/10.1038/srep25170.
  50. 50.
    Nazmi A, Diez Roux A, Ranjit N, Seeman TE, Jenny NS. Cross-sectional and longitudinal associations of neighborhood characteristics with inflammatory markers: findings from the multi-ethnic study of atherosclerosis☆☆☆. Health Place. 2010;16(6):1104–12.  https://doi.org/10.1016/j.healthplace.2010.07.001.Google Scholar
  51. 51.
    Petersen KL, Marsland AL, Flory J, Votruba-Drzal E, Muldoon MF, Manuck SB. Community socioeconomic status is associated with circulating Interleukin-6 and C-reactive protein. Psychosom Med. 2008;70(6):646–52.  https://doi.org/10.1097/PSY.0b013e31817b8ee4.Google Scholar
  52. 52.
    Broyles ST, Staiano AE, Drazba KT, Gupta AK, Sothern M, Katzmarzyk PT. Elevated C-reactive protein in children from risky neighborhoods: evidence for a stress pathway linking neighborhoods and inflammation in children. Herder C, ed PLoS One 2012;7(9):e45419. doi: https://doi.org/10.1371/journal.pone.0045419
  53. 53.
    Barrington WE, Stafford M, Hamer M, Beresford SAA, Koepsell T, Steptoe A. Neighborhood socioeconomic deprivation, perceived neighborhood factors, and cortisol responses to induced stress among healthy adults. Health Place. 2014;27:120–6.  https://doi.org/10.1016/j.healthplace.2014.02.001.Google Scholar
  54. 54.
    Karb RA, Elliott MR, Dowd JB, Morenoff JD. Neighborhood-level stressors, social support, and diurnal patterns of cortisol: the Chicago Community Adult Health Study. Soc Sci Med. 2012;75(6):1038–47.  https://doi.org/10.1016/j.socscimed.2012.03.031.Google Scholar
  55. 55.
    Do DP, Diez Roux AV, Hajat A, Auchincloss AH, Merkin SS, Ranjit N, et al. Circadian rhythm of cortisol and neighborhood characteristics in a population-based sample: the multi-ethnic study of atherosclerosis. Health Place. 2011;17(2):625–32.  https://doi.org/10.1016/j.healthplace.2010.12.019.Google Scholar
  56. 56.
    Roe J, Thompson C, Aspinall P, Brewer M, Duff E, Miller D, et al. Green space and stress: evidence from cortisol measures in deprived urban communities. Int J Environ Res Public Health. 2013;10(9):4086–103.  https://doi.org/10.3390/ijerph10094086.Google Scholar
  57. 57.
    Hackman DA, Betancourt LM, Brodsky NL, Hurt H, Farah MJ. Neighborhood disadvantage and adolescent stress reactivity. Front Hum Neurosci. 2012;6  https://doi.org/10.3389/fnhum.2012.00277.
  58. 58.
    Brenner AB, Zimmerman MA, Bauermeister JA, Caldwell CH. Neighborhood context and perceptions of stress over time: an ecological model of neighborhood stressors and intrapersonal and interpersonal resources. Am J Community Psychol. 2013;51(3–4):544–56.  https://doi.org/10.1007/s10464-013-9571-9.Google Scholar
  59. 59.
    Rudolph KE, Gary SW, Stuart EA, et al. The association between cortisol and neighborhood disadvantage in a U.S. population-based sample of adolescents. Health Place. 2014;25:68–77.  https://doi.org/10.1016/j.healthplace.2013.11.001.Google Scholar
  60. 60.
    Bird CE, Seeman T, Escarce JJ, Basurto-Davila R, Finch BK, Dubowitz T, et al. Neighbourhood socioeconomic status and biological “wear and tear” in a nationally representative sample of US adults. J Epidemiol Community Health. 2010;64(10):860–5.  https://doi.org/10.1136/jech.2008.084814.Google Scholar
  61. 61.
    Merkin SS, Basurto-Dávila R, Karlamangla A, Bird CE, Lurie N, Escarce J, et al. Neighborhoods and cumulative biological risk profiles by race/ethnicity in a National Sample of U.S. adults: NHANES III. Ann Epidemiol. 2009;19(3):194–201.  https://doi.org/10.1016/j.annepidem.2008.12.006.Google Scholar
  62. 62.
    Schulz AJ, Mentz G, Lachance L, Johnson J, Gaines C, Israel BA. Associations between socioeconomic status and allostatic load: effects of neighborhood poverty and tests of mediating pathways. Am J Public Health. 2012;102(9):1706–14.Google Scholar
  63. 63.
    King KE, Morenoff JD, House JS. Neighborhood Context and Social disparities in cumulative biological risk factors. Psychosom Med. 2011;73(7):572–9.  https://doi.org/10.1097/PSY.0b013e318227b062.Google Scholar
  64. 64.
    Mair CA, Cutchin MP, Kristen Peek M. Allostatic load in an environmental riskscape: the role of stressors and gender. Health Place. 2011;17(4):978–87.  https://doi.org/10.1016/j.healthplace.2011.03.009.Google Scholar
  65. 65.
    Theall KP, Drury SS, Shirtcliff EA. Cumulative neighborhood risk of psychosocial stress and allostatic load in adolescents. Am J Epidemiol. 2012;176(suppl_7):S164–74.  https://doi.org/10.1093/aje/kws185.Google Scholar
  66. 66.
    Brody GH, Lei M-K, Chen E, Miller GE. Neighborhood poverty and allostatic load in African American youth. Pediatrics. 2014;134(5):e1362–8.  https://doi.org/10.1542/peds.2014-1395.Google Scholar
  67. 67.
    MASSEY DS, WAGNER B, DONNELLY L, et al. Neighborhood disadvantage and telomere length: results from the fragile families study. RSF. 2018;4(4):28–42.  https://doi.org/10.7758/RSF.2018.4.4.02.Google Scholar
  68. 68.
    Needham BL, Carroll JE, Diez Roux AV, Fitzpatrick AL, Moore K, Seeman TE. Neighborhood characteristics and leukocyte telomere length: the multi-ethnic study of atherosclerosis. Health Place. 2014;28:167–72.  https://doi.org/10.1016/j.healthplace.2014.04.009.Google Scholar
  69. 69.
    Park M, Verhoeven JE, Cuijpers P, Reynolds CF III, Penninx BWJH. Where you live may make you old: the association between perceived poor neighborhood quality and leukocyte telomere length. PLoS One. 2015;10(6):e0128460.  https://doi.org/10.1371/journal.pone.0128460.Google Scholar
  70. 70.
    Gebreab SY, Riestra P, Gaye A, Khan RJ, Xu R, Davis AR, et al. Perceived neighborhood problems are associated with shorter telomere length in African American women. Psychoneuroendocrinology. 2016;69:90–7.  https://doi.org/10.1016/j.psyneuen.2016.03.018.Google Scholar
  71. 71.
    Theall KP, Brett ZH, Shirtcliff EA, Dunn EC, Drury SS. Neighborhood disorder and telomeres: connecting children’s exposure to community level stress and cellular response. Soc Sci Med. 2013;85:50–8.  https://doi.org/10.1016/j.socscimed.2013.02.030.Google Scholar
  72. 72.
    Theall KP, Shirtcliff EA, Dismukes AR, Wallace M, Drury SS. Association between neighborhood violence and biological stress in children. JAMA Pediatr. 2017;171(1):53–60.  https://doi.org/10.1001/jamapediatrics.2016.2321.Google Scholar
  73. 73.
    Israel BA, Schulz AJ, Parker EA, Becker AB. Review of community-based research: assessing partnership approaches to improve public health. Annu Rev Public Health. 1998;19(1):173–202.Google Scholar
  74. 74.
    Minkler M. Using participatory action research to build healthy communities. Public Health Rep. 2000;115(2–3):191–7.Google Scholar
  75. 75.
    Wallerstein N, Duran B. Community-based participatory research contributions to intervention research: the intersection of science and practice to improve health equity. Am J Public Health. 2010;100(S1):S40–6.  https://doi.org/10.2105/AJPH.2009.184036.Google Scholar
  76. 76.
    Dennis SF, Gaulocher S, Carpiano RM, Brown D. Participatory photo mapping (PPM): exploring an integrated method for health and place research with young people. Health Place. 2009;15(2):466–73.  https://doi.org/10.1016/j.healthplace.2008.08.004.Google Scholar
  77. 77.
    Richardson DM, Nuru-Jeter AM. Neighborhood contexts experienced by young Mexican-American women: enhancing our understanding of risk for early childbearing. J Urban Health. 2012;89(1):59–73.  https://doi.org/10.1007/s11524-011-9627-9.Google Scholar
  78. 78.
    Matthews SA, Yang T-C. Spatial polygamy and contextual exposures (SPACEs): promoting activity space approaches in research on place and health. Am Behav Sci. 2013;57(8):1057–81.  https://doi.org/10.1177/0002764213487345.Google Scholar
  79. 79.
    Perchoux C, Chaix B, Cummins S, Kestens Y. Conceptualization and measurement of environmental exposure in epidemiology: accounting for activity space related to daily mobility. Health Place. 2013;21:86–93.  https://doi.org/10.1016/j.healthplace.2013.01.005.Google Scholar
  80. 80.
    Browning CR, Soller B. Moving beyond neighborhood: activity spaces and ecological networks as contexts for youth development. Cityscape (Washington, DC). 2014;16(1):165.Google Scholar
  81. 81.
    Jones M, Pebley AR. Redefining neighborhoods using common destinations: social characteristics of activity spaces and home census tracts compared. Demography. 2014;51(3):727–52.  https://doi.org/10.1007/s13524-014-0283-z.Google Scholar
  82. 82.
    Chaix B, Kestens Y, Perchoux C, Karusisi N, Merlo J, Labadi K. An interactive mapping tool to assess individual mobility patterns in neighborhood studies. Am J Prev Med. 2012;43(4):440–50.  https://doi.org/10.1016/j.amepre.2012.06.026.Google Scholar
  83. 83.
    Kwan M-P. Beyond space (as we knew it): toward temporally integrated geographies of segregation, health, and accessibility: space–time integration in geography and GIScience. Ann Assoc Am Geogr. 2013;103(5):1078–86.  https://doi.org/10.1080/00045608.2013.792177.Google Scholar
  84. 84.
    Carpiano RM. Come take a walk with me: the “go-along” interview as a novel method for studying the implications of place for health and well-being. Health Place. 2009;15(1):263–72.  https://doi.org/10.1016/j.healthplace.2008.05.003.Google Scholar
  85. 85.
    Cannuscio CC, Weiss EE, Fruchtman H, Schroeder J, Weiner J, Asch DA. Visual epidemiology: photographs as tools for probing street-level etiologies. Soc Sci Med. 2009;69(4):553–64.  https://doi.org/10.1016/j.socscimed.2009.06.013.Google Scholar
  86. 86.
    Wen M, Hawkley LC, Cacioppo JT. Objective and perceived neighborhood environment, individual SES and psychosocial factors, and self-rated health: an analysis of older adults in Cook County, Illinois. Soc Sci Med. 2006;63(10):2575–90.  https://doi.org/10.1016/j.socscimed.2006.06.025.Google Scholar
  87. 87.
    Weden MM, Carpiano RM, Robert SA. Subjective and objective neighborhood characteristics and adult health. Soc Sci Med. 2008;66(6):1256–70.  https://doi.org/10.1016/j.socscimed.2007.11.041.Google Scholar
  88. 88.
    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(2):339–48.  https://doi.org/10.1016/j.healthplace.2009.11.002.Google Scholar
  89. 89.
    Pruitt SL, Jeffe DB, Yan Y, Schootman M. Reliability of perceived neighbourhood conditions and the effects of measurement error on self-rated health across urban and rural neighbourhoods. J Epidemiol Community Health. 2012;66(4):342–51.  https://doi.org/10.1136/jech.2009.103325.Google Scholar
  90. 90.
    Schulz AJ, Mentz G, Lachance L, Zenk SN, Johnson J, Stokes C, et al. Do observed or perceived characteristics of the neighborhood environment mediate associations between neighborhood poverty and cumulative biological risk? Health Place. 2013;24:147–56.  https://doi.org/10.1016/j.healthplace.2013.09.005.Google Scholar
  91. 91.
    van Deurzen I, Rod NH, Christensen U, Hansen ÅM, Lund R, Dich N. Neighborhood perceptions and allostatic load: evidence from Denmark. Health Place. 2016;40:1–8.  https://doi.org/10.1016/j.healthplace.2016.04.010.Google Scholar
  92. 92.
    Gong Y, Palmer S, Gallacher J, Marsden T, Fone D. A systematic review of the relationship between objective measurements of the urban environment and psychological distress. Environ Int. 2016;96:48–57.  https://doi.org/10.1016/j.envint.2016.08.019.Google Scholar
  93. 93.
    Jiménez MP, Osypuk TL, Arevalo S, Tucker KL, Falcon LM. Neighborhood socioeconomic context and change in allostatic load among older Puerto Ricans: the Boston Puerto Rican health study. Health Place. 2015;33:1–8.  https://doi.org/10.1016/j.healthplace.2015.02.001.Google Scholar
  94. 94.
    Place KSP. History, memory: thinking time within place. In: Burton LM, Matthews SA, Leung M, Kemp SP, Takeuchi DT, editors. Communities, neighborhoods, and health. New York: Springer New York; 2011. p. 3–19.  https://doi.org/10.1007/978-1-4419-7482-2_1.Google Scholar
  95. 95.
    Goldman-Mellor S, Hamer M, Steptoe A. Early-life stress and recurrent psychological distress over the lifecourse predict divergent cortisol reactivity patterns in adulthood. Psychoneuroendocrinology. 2012;37(11):1755–68.  https://doi.org/10.1016/j.psyneuen.2012.03.010.Google Scholar

Copyright information

© The New York Academy of Medicine 2019

Authors and Affiliations

  1. 1.Oregon Health & Science University-Portland State University School of Public HealthPortlandUSA
  2. 2.University of California, Berkeley School of Public HealthBerkeleyUSA

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