Childhood adversity, adult neighborhood context, and cumulative biological risk for chronic diseases in adulthood.

Natalie Slopen, Amy Non, David R Williams, Andrea L Roberts, Michelle A Albert
Author Information
  1. Natalie Slopen: From the Department of Internal Medicine (N.S., M.A.A.), Howard University College of Medicine, Washington, DC; Department of Anthropology (A.N.), Vanderbilt University, Nashville, Tennessee; Department of Social and Behavioral Sciences (D.R.W., A.L.R.), Harvard School of Public Health, Boston, Massachusetts; and Department of African and African American Studies (D.R.W.), Harvard University, Boston, Massachusetts.

Abstract

OBJECTIVE: We examined the association between childhood adversity and cumulative biological risk for a variety of chronic diseases in adulthood, and whether this association varied by neighborhood affluence.
METHODS: Data were drawn from the Chicago Community Adult Health Study (2001-2003), a cross-sectional probability sample that included interviews and blood collection (n = 550 adults). A childhood adversity score was calculated from eight items. Neighborhood affluence was defined using Census data. An index to reflect cumulative biological risk was constructed as a count of eight biomarkers above clinically established thresholds, including systolic and diastolic blood pressure, resting heart rate, C-reactive protein, waist circumference, hemoglobin A1c, and total and high-density lipoprotein cholesterol. Generalized linear models with a Poisson link function were used to estimate incident rate ratios (IRRs).
RESULTS: A 1-standard-deviation increase in the childhood adversity score was associated with a 9% increase in cumulative biological risk, after adjustment for demographic and behavioral characteristics (IRR = 1.09, 95% confidence interval (CI) = 1.02-1.17). This association was modified by neighborhood affluence (IRR = 0.92, 95% CI = 0.86, 0.99). Stratified models indicated that childhood adversity was associated with elevated cumulative biological risk only among individuals who resided in low-affluence (bottom tertile) neighborhoods (IRR = 1.16, 95% CI = 1.05, 1.28); there was no association in high-affluence (top tertile) neighborhoods (IRR = 0.97, 95% CI = 0.83, 1.14).
CONCLUSIONS: Childhood adversity is associated with elevated cumulative biological risk in adulthood, and neighborhood affluence may buffer this association. Results demonstrate the importance of neighborhood characteristics for associations between childhood adversity and disease risk, even after accounting for adult socioeconomic status.

References

  1. Diabetes Care. 2005 Aug;28(8):1981-7 [PMID: 16043742]
  2. Circulation. 2005 Feb 8;111(5):e89-91 [PMID: 15699268]
  3. J Consult Clin Psychol. 2000 Oct;68(5):782-7 [PMID: 11068964]
  4. J Clin Endocrinol Metab. 2003 Oct;88(10):4596-601 [PMID: 14557428]
  5. Soc Sci Med. 2004 Jun;58(12):2473-83 [PMID: 15081198]
  6. Psychosom Med. 2012 Feb-Mar;74(2):178-86 [PMID: 22286848]
  7. Arch Intern Med. 1993 Sep 27;153(18):2093-101 [PMID: 8379800]
  8. Eur Heart J. 2007 Apr;28(7):850-6 [PMID: 17403720]
  9. Neuropsychopharmacology. 2010 Dec;35(13):2617-23 [PMID: 20881945]
  10. Dev Psychopathol. 2008 Winter;20(1):233-55 [PMID: 18211736]
  11. J Health Soc Behav. 2010 Sep;51(3):291-306 [PMID: 20943591]
  12. Neurosci Biobehav Rev. 2010 Sep;35(1):2-16 [PMID: 19822172]
  13. Dev Psychopathol. 2011 Aug;23(3):939-54 [PMID: 21756443]
  14. Ann N Y Acad Sci. 2010 Feb;1186:223-39 [PMID: 20201875]
  15. Soc Sci Med. 2008 Jun;66(11):2253-67 [PMID: 18329148]
  16. Psychosom Med. 2010 Feb;72(2):156-62 [PMID: 19995883]
  17. Psychosom Med. 2009 Oct;71(8):805-12 [PMID: 19779142]
  18. Am J Public Health. 2001 Aug;91(8):1258-63 [PMID: 11499115]
  19. Psychoneuroendocrinology. 2013 Feb;38(2):188-200 [PMID: 22727478]
  20. Soc Sci Med. 2003 Oct;57(7):1221-35 [PMID: 12899906]
  21. J Abnorm Child Psychol. 1998 Apr;26(2):119-28 [PMID: 9634134]
  22. Lancet. 2007 Dec 1;370(9602):1829-39 [PMID: 18061058]
  23. Psychol Bull. 2011 Nov;137(6):959-97 [PMID: 21787044]
  24. Psychol Sci. 2012 Sep 1;23(9):979-83 [PMID: 22825357]
  25. JAMA. 1998 May 13;279(18):1477-82 [PMID: 9600484]
  26. Ann Behav Med. 2012 Oct;44(2):287-92 [PMID: 22714139]
  27. Biol Psychiatry. 2002 Oct 15;52(8):776-84 [PMID: 12372649]
  28. Psychol Med. 2010 Oct;40(10):1647-58 [PMID: 20018126]
  29. Int J Obes Relat Metab Disord. 2001 Sep;25(9):1360-4 [PMID: 11571600]
  30. J Fam Psychol. 2004 Mar;18(1):135-46 [PMID: 14992616]
  31. J Epidemiol Community Health. 2008 Jun;62(6):484-91 [PMID: 18477746]
  32. Ment Retard Dev Disabil Res Rev. 2003;9(3):149-54 [PMID: 12953293]
  33. J Child Psychol Psychiatry. 2005 Mar;46(3):235-45 [PMID: 15755300]
  34. Ann N Y Acad Sci. 1999;896:30-47 [PMID: 10681886]
  35. Proc Natl Acad Sci U S A. 2010 May 11;107(19):8507-12 [PMID: 20442329]
  36. J Epidemiol Community Health. 2010 Oct;64(10):860-5 [PMID: 19759056]
  37. Ann N Y Acad Sci. 1999;896:96-115 [PMID: 10681891]
  38. Am J Prev Med. 2011 Feb;40(2):128-38 [PMID: 21238860]
  39. Hypertension. 2003 Dec;42(6):1206-52 [PMID: 14656957]
  40. Psychosom Med. 2011 Jan;73(1):16-22 [PMID: 21148804]
  41. Ann Epidemiol. 2009 Mar;19(3):194-201 [PMID: 19217002]
  42. Psychosom Med. 2011 Sep;73(7):572-9 [PMID: 21862824]
  43. Soc Sci Med. 2007 Nov;65(9):1853-66 [PMID: 17640788]
  44. Ann N Y Acad Sci. 2010 Feb;1186:125-45 [PMID: 20201871]
  45. Ann N Y Acad Sci. 1998 May 1;840:33-44 [PMID: 9629234]
  46. Psychol Bull. 1985 Sep;98(2):310-57 [PMID: 3901065]
  47. Science. 1997 Aug 15;277(5328):918-24 [PMID: 9252316]
  48. Atherosclerosis. 2009 Oct;206(2):611-6 [PMID: 19375079]
  49. Psychosom Med. 2006 May-Jun;68(3):500-7 [PMID: 16738085]
  50. Am Heart J. 2010 Apr;159(4):612-619.e3 [PMID: 20362720]
  51. Psychosom Med. 2005 Jan-Feb;67(1):9-15 [PMID: 15673618]
  52. Heart. 2003 May;89 Suppl 2:ii2-5; discussion ii35-7 [PMID: 12695425]
  53. Soc Sci Med. 2003 Sep;57(5):843-60 [PMID: 12850110]
  54. Proc Natl Acad Sci U S A. 2007 Jan 23;104(4):1319-24 [PMID: 17229839]
  55. Drug Alcohol Depend. 2012 Apr 1;122(1-2):77-85 [PMID: 21981990]
  56. Pediatrics. 2008 May;121(5):e1240-9 [PMID: 18450866]
  57. JAMA. 2001 May 16;285(19):2486-97 [PMID: 11368702]
  58. BMC Public Health. 2011 Jan 17;11:42 [PMID: 21241479]
  59. Du Bois Rev. 2011 Spring;8(1):95-113 [PMID: 29887911]
  60. Am J Epidemiol. 2012 Oct 1;176 Suppl 7:S164-74 [PMID: 23035140]
  61. Health Place. 2010 Sep;16(5):1058-60 [PMID: 20627796]
  62. N Engl J Med. 1998 Jan 15;338(3):171-9 [PMID: 9428819]
  63. Dev Psychol. 2003 Sep;39(5):924-33 [PMID: 12952404]
  64. Annu Rev Public Health. 2000;21:171-92 [PMID: 10884951]
  65. Am J Prev Med. 1998 May;14(4):245-58 [PMID: 9635069]
  66. Arch Intern Med. 1993 Mar 8;153(5):598-615 [PMID: 8439223]
  67. JAMA. 2009 Jun 3;301(21):2252-9 [PMID: 19491187]
  68. Science. 1989 Mar 17;243(4897):1441-5 [PMID: 17839748]
  69. Soc Sci Med. 2010 Apr;70(8):1203-10 [PMID: 20163905]
  70. Circulation. 2003 Sep 23;108(12):e81-5 [PMID: 14504253]
  71. Ann Behav Med. 2011 Feb;41(1):13-20 [PMID: 20812036]
  72. J Child Psychol Psychiatry. 2004 Feb;45(2):260-73 [PMID: 14982240]

Grants

  1. P50HD38986/NICHD NIH HHS
  2. R01HD050467/NICHD NIH HHS
  3. 5R01AG038492-02/NIA NIH HHS
  4. R01 AG038492/NIA NIH HHS
  5. P50 HD038986/NICHD NIH HHS
  6. R01 HD050467/NICHD NIH HHS
  7. R24 HD041041/NICHD NIH HHS

MeSH Term

Adult
Biomarkers
Blood Pressure
C-Reactive Protein
Chicago
Child
Cholesterol
Cholesterol, HDL
Chronic Disease
Cross-Sectional Studies
Glycated Hemoglobin
Heart Rate
Humans
Poisson Distribution
Residence Characteristics
Risk Factors
Socioeconomic Factors
Waist Circumference

Chemicals

Biomarkers
Cholesterol, HDL
Glycated Hemoglobin A
hemoglobin A1c protein, human
C-Reactive Protein
Cholesterol

Word Cloud

Created with Highcharts 10.0.0=adversityriskcumulativebiological1associationchildhoodneighborhood0affluenceIRR95%CIadulthoodassociatedchronicdiseasesbloodscoreeightratemodelsincreasecharacteristicselevatedtertileneighborhoodsChildhoodadultOBJECTIVE:examinedvarietywhethervariedMETHODS:DatadrawnChicagoCommunityAdultHealthStudy2001-2003cross-sectionalprobabilitysampleincludedinterviewscollectionn550adultscalculateditemsNeighborhooddefinedusingCensusdataindexreflectconstructedcountbiomarkersclinicallyestablishedthresholdsincludingsystolicdiastolicpressurerestingheartC-reactiveproteinwaistcircumferencehemoglobinA1ctotalhigh-densitylipoproteincholesterolGeneralizedlinearPoissonlinkfunctionusedestimateincidentratiosIRRsRESULTS:1-standard-deviation9%adjustmentdemographicbehavioral09confidenceinterval02-117modified928699Stratifiedindicatedamongindividualsresidedlow-affluencebottom160528high-affluencetop978314CONCLUSIONS:maybufferResultsdemonstrateimportanceassociationsdiseaseevenaccountingsocioeconomicstatuscontext

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