Annals of Epidemiology
Volume 18, Issue 7 , Pages 552-559 , July 2008

Neighborhood Poverty and American Indian Infant Death: Are The Effects Identifiable?

  • Pamela Jo Johnson, MPH, PhD

      Affiliations

    • Division of Health Policy & Management, School of Public Health, University of Minnesota, Minneapolis
    • Corresponding Author InformationAddress correspondence to: Pamela Jo Johnson, MPH, PhD, State Health Access Data Assistance Center, School of Public Health, University of Minnesota, 2221 University Avenue, Suite 345, Minneapolis, MN 55414. Tel.: 612-624-1406; fax: 612-624-1493.
  • ,
  • J. Michael Oakes, PhD

      Affiliations

    • Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis
  • ,
  • Douglas L. Anderton, PhD

      Affiliations

    • Social and Demographic Research Institute and Department of Sociology, University of Massachusetts-Amherst

Received 10 July 2007 ,Accepted 27 February 2008.

References 

  1. Rowley DL, Iyasu S, MacDorman MF, et al. Neonatal and Postneonatal Mortality. In:  Wilcox LS,  Marks JS editor. From Data to Action: CDC's Public Health Surveillance for Women, Infants and Children. Atlanta, GA: U.S. Dept. of Health & Human Services, Public Health Service, Centers for Disease Control and Prevention; 1994;p. 251–262
  2. Mathews TJ, MacDorman MF. Infant mortality statistics from the 2003 period linked birth/infant death data set. Natl Vital Stat Rep. 2006;54:1–29
  3. Children's Bureau. Save the Youngest: Seven charts on maternal and infant mortality. Washington, DC: U.S Department of Labor; 1921;(Children's Bureau Publication no. 61)
  4. Hibbs HH. The Influence of economic and industrial conditions on infant mortality. Q J Econ. 1915;30:127–151
  5. Woodbury RM. Economic factors in infant mortality. J Am Stat Assoc. 1924;19:137–155
  6. Woodbury RM. Causal factors in infant mortality: A statistical study based on investigations in eight cities. Washington, DC: Government Printing Office; 1925;(Children's Bureau Publication no. 142)
  7. Donabedian A, Rosenfeld LS, Southern EM. Infant mortality and socioeconomic status in a metropolitan community. Public Health Rep. 1965;80:1083–1094
  8. Stockwell EG. Infant mortality and socio-economic status: A changing relationship. Milbank Mem Fund Q. 1962;40:101–111
  9. Willie CV. A research note on the changing association between infant mortality and socio-economic status. Soc Forces. 1959;37:221–227
  10. Campbell GR. The political epidemiology of infant mortality: a health crisis among Montana American Indians. Am Indian Cult Res J. 1989;13:105–148
  11. Honigfeld LS, Kaplan DW. Native American postneonatal mortality. Pediatrics. 1987;80:575–578
  12. Rhoades ER, Brenneman G, Lyle J, et al. Mortality of American Indian and Alaska Native infants. Annu Rev Public Health. 1992;13:269–285
  13. Dewitt D, Arwood D, Baer L. Excessive infant mortality: An exploration of factors contributing to South Dakota Indians' life chances. Great Plains Sociologist. 1989;2:17–28
  14. Jain A, Khoshnood B, Lee KS, et al. Injury related infant death: The impact of race and birth weight. Inj Prev. 2001;7:135–140
  15. VanLandingham MJ, Buehler JW, Hogue CJ, et al. Birthweight-specific infant mortality for Native Americans compared with whites, six states, 1980. Am J Public Health. 1988;78:499–503
  16. Neuerburg L, Moen JK. Infant mortality on Northern Plains reservations. Great Plains Sociologist. 1997;10:26–36
  17. Hummer RA. Racial differentials in infant mortality in the U.S.: An examination of social and health determinants. Soc Forces. 1993;72:529–554
  18. Poston DL, Rogers RG. Toward a reformulation of the neonatal mortality rate. Soc Biol. 1985;32:1–12
  19. Betson DM, Warlick JL. Measuring poverty. In:  Oakes JM,  Kaufman JS editor. Methods in Social Epidemiology. San Francisco: Jossey-Bass; 2006;p. 108–129
  20. In:  Citro CF,  Michael RT editor. Measuring Poverty: A New Approach. Washington, DC: National Academy Press; 1995;
  21. Aber JL, Bennett NG, Conley DC, Li J. The effects of poverty on child health and development. Annu Rev Public Health. 1997;18:463–483
  22. Krieger N, Chen JT, Waterman PD, Soobader MJ, Subramanian SV, Carson R. Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter? The Public Health Disparities Geocoding Project. Am J Epidemiol. 2002;156:471–482
  23. Maldonado G, Greenland S. Estimating causal effects. Int J Epidemiol. 2002;31:422–429
  24. Rubin DB. On principles for modeling propensity scores in medical research. Pharmacoepidemiol Drug Saf. 2004;13:855–857
  25. Oakes JM, Johnson PJ. Propensity score matching for social epidemiology. In:  Oakes JM,  Kaufman JS editor. Methods in Social Epidemiology. San Francisco: Jossey-Bass; 2006;p. 364–386
  26. Joffe MM, Rosenbaum PR. Invited commentary: propensity scores. Am J Epidemiol. 1999;150:327–333
  27. Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70:41–55
  28. Leuven E, Sianesi B. PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. 2003. Available at: http://ideas.repec.org/c/boc/bocode/s432001.html. Accessed April 16, 2008.
  29. StataCorp . Stata Statistical Software. College Station, TX: StataCorp LP; 2003;
  30. D'Agostino RB. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Stat Med. 1998;17:2265–2281
  31. Hill J, Reiter JP. Interval estimation for treatment effects using propensity score matching. Stat Med. 2005;25:2230–2256
  32. Efron B, Tibshirani R. An Introduction to the Bootstrap. New York: Chapman & Hall; 1993;
  33. Becker SO, Caliendo M. Sensitivity analysis for average treatment effects. Stata J. 2007;7:71–83
  34. Call KT, McAlpine DD, Johnson PJ, Beebe TJ, Mcrae JA, Song YJ. Barriers to care among American Indians in public health care programs. Med Care. 2006;44:595–600
  35. Laraia BA, Siega-Riz AM, Gundersen C, Dole N. Psychosocial factors and socioeconomic indicators are associated with household food insecurity among pregnant women. J Nutr. 2006;136:177–182
  36. Witwer MB. Prenatal care in the United States: Reports call for improvements in quality and accessibility. Fam Plann Perspect. 1990;22:31–35
  37. May JH, Cunningham PJ. Tough trade-offs: Medical bills, family finances and access to care. Issue Brief Cent Stud Health Syst Change. 2004;1–4
  38. Finch BK, Vega WA, Kolody B. Substance use during pregnancy in the state of California. USA. Soc Sci Med. 2001;52:571–583
  39. Morenoff JD. Neighborhood mechanisms and the spatial dynamics of birth weight. Am J Sociol. 2003;108:976–1017
  40. Rich-Edwards JW, Grizzard TA. Psychosocial stress and neuroendocrine mechanisms in preterm delivery. Am J Obstet Gynecol. 2005;192:S30–S35
  41. Rhoades DA, D'Angelo AJ, Rhoades ER. Data sources and subsets of the Indian population. In:  Rhoades ER editors. American Indian Health: Innovations in Health Care, Promotion, and Policy. Baltimore, MD: The Johns Hopkins University Press; 2000;p. 93–100
  42. Roubideaux Y. A Review of the Quality of Health Care for American Indians and Alaska Natives. The Commonwealth Fund, 2004. Available at: http://www.commonwealthfund.org/publications/publications_show.htm?doc_id=239464. Accessed April 16, 2008.
  43. Roubideaux Y, Dixon M. Health surveillance, research, and information. In:  Dixon M,  Roubideaux Y editor. Promises to Keep: Public Health Policy for American Indians & Alaska Natives in the 21st Century. Washington DC: American Public Health Association; 2001;p. 253–273
  44. Kaufman JS, Cooper RS. Seeking causal explanations in social epidemiology. Am J Epidemiol. 1999;150:113–120
  45. Oakes JM. Commentary: Advancing neighbourhood-effects research—selection, inferential support, and structural confounding. Int J Epidemiol. 2006;35:643–647
  46. Oakes JM. The (mis)estimation of neighborhood effects: Causal inference for a practicable social epidemiology. Soc Sci Med. 2004;58:1929–1952

 Financial support for this study was provided in part by a Minority Health Statistics Dissertation Fellowship granted to Pamela Jo Johnson by the Center for Excellence in Health Statistics (a collaboration between the Center for Health Statistics, Minnesota Department of Health and the School of Public Health, University of Minnesota) and by NHLBI grant R01-HL61573 (PI: J. Michael Oakes).

PII: S1047-2797(08)00056-2

doi: 10.1016/j.annepidem.2008.02.007

Annals of Epidemiology
Volume 18, Issue 7 , Pages 552-559 , July 2008