Cancer Causes & Control

, Volume 23, Issue 2, pp 297–319 | Cite as

Shrinking, widening, reversing, and stagnating trends in US socioeconomic inequities in cancer mortality for the total, black, and white populations: 1960–2006

  • Nancy Krieger
  • Jarvis T. Chen
  • Anna Kosheleva
  • Pamela D. Waterman
Original paper

Abstract

Objectives of study

To test recent claims that cancer inequities are bound to increase as population health improves.

Methods

We analyzed 1960–2006 age-standardized US county cancer mortality data, total and site-specific (lung, prostate, colorectal, breast, cervix, stomach), stratified by county income quintile for the US total, black, and white populations.

Results

Between 1960 and 2006, US socioeconomic inequities in cancer mortality variously shrunk, widened, reversed, and stagnated, depending on time period and cancer site. For all cancers combined and most, but not all, sites, absolute, but not relative, socioeconomic gaps were greater for the black compared to white population. Compared to the yearly age-specific mortality rates among whites in the most affluent counties, the percent of excess cancer deaths among whites in the lower four county income quintiles first rose above 0 in 1990 and in 2006 equaled 5.4% (95% CI 4.8, 6.0); among blacks, it rose from 6.0% (95% CI 4.5, 7.4) in 1960 to 24.7% (95% CI 23.9, 25.5) in 1990 and remained at this level through 2006.

Conclusions

The hypothesis that cancer mortality inequities are bound to increase is refuted by long-term data on total and site-specific cancer mortality stratified by socioeconomic position and race/ethnicity.

Keywords

Black Cancer mortality Secular trends Socioeconomic inequalities Race/ethnicity 

Abbreviations

CDC

Centers for disease control and prevention

CI

Confidence interval

ICD

International classification of disease

MRD

Mortality rate difference

MRR

Mortality rate ratio

NCHS

National center for health statistics

PAF

Population attributable fraction

Notes

Acknowledgments

We thank Jacob Bor (doctoral student, Harvard School of Public Health) for his work, as a paid research assistant, in harmonizing the ICD codes used in these analyses (permission for this acknowledgment obtained in writing on October 5, 2010). This work was supported by the National Cancer Institute at the National Institutes of Health (grant 1R03CA137666). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. All authors had full access to all of the data in the study, and the corresponding author has final responsibility for the collective decision to submit for publication.

Supplementary material

10552_2011_9879_MOESM1_ESM.doc (52 kb)
Supplementary material 1 (DOC 52 kb)

References

  1. 1.
    Kunst AE, Looman CW, Mackenbach JP (1990) Socio-economic mortality differences in The Netherlands in 1950–1984: a regional study of cause-specific mortality. Soc Sci Med 31:141–152PubMedCrossRefGoogle Scholar
  2. 2.
    Ezzati M, Friedman AB, Kulkarni SC, Murray CJ (2008) The reversal of fortunes: trends in county mortality and cross-county mortality disparities in the United States. PLoS Med 5:e66. Erratum (2008) in: PLoS Med 5(5) doi: 10.1371/journal.pmed.0050119
  3. 3.
    Kinsey T, Jemal A, Liff J, Ward E, Thun M (2008) Secular trends in mortality from common cancers in the United States by educational attainment, 1993–2001. J Natl Cancer Inst 100:1003–1012PubMedCrossRefGoogle Scholar
  4. 4.
    Singh GK, Miller BA, Hankey BG, Feuer EJ, Pickle LW (2002) Changing area socioeconomic patterns in US cancer mortality, 1950–1998: Part I—all cancers among men. J Natl Cancer Inst 94:904–915PubMedCrossRefGoogle Scholar
  5. 5.
    Singh GK, Miller BA, Hankey BF (2002) Changing area socioeconomic patterns in US cancer mortality, 1950–1998: Part II–Lung and colorectal cancers. J Natl Cancer Inst 94:916–925PubMedCrossRefGoogle Scholar
  6. 6.
    Steenland K, Henley J, Thun M (2002) All-cause and cause-specific death rates by educational status for two million people in two American Cancer Society cohorts, 1959–1996. Am J Epidemiol 156:11–21PubMedCrossRefGoogle Scholar
  7. 7.
    Strand BH, Grøholt EK, Steingrίmsdøtter OA, Blakely T, Graff-Iversen S, Naess Ø (2010) Educational inequalities in mortality over four decades in Norway: prospective study of middle aged men and women followed for cause specific mortality, 1960–2000. BMJ 304:c654 doi: 10.1136/bmj.c654. Erratum in: BMJ 2010; 340:c1803
  8. 8.
    Logan WPD (1982) Cancer mortality by occupation and social class. (Studies on medical and population subjects No. 44). London: Her Majesty’s Stationery Office; Lyon: International Agency for Research on CancerGoogle Scholar
  9. 9.
    Krieger N (2011) Epidemiology and the people’s health: theory and context. Oxford University Press, New YorkCrossRefGoogle Scholar
  10. 10.
    National Office of Vital Statistics, Public Health Service, US Department of Health, Education and Welfare (1969) Documentation of the Detail Mortality Tape File (1959–1961, 1962–1967). Washington, DC: US Department of Health, Education, and WelfareGoogle Scholar
  11. 11.
    Krieger N, Rehkopf DH, Chen JT, Waterman PD, Marcelli E, Kennedy M (2008) The fall and rise of US inequities in premature mortality: 1960–2002. PLoS Med 5(2):e46. doi: 10.1371/journal.pmed.0050046 PubMedCrossRefGoogle Scholar
  12. 12.
    National Center for Health Statistics. Compressed Mortality Files (2011) http://www.cdc.gov/nchs/data_access/cmf.htm. Accessed May 14, 2011
  13. 13.
    World Health Organization (WHO) International Classification of Diseases (ICD) (2011) http://www.who.int/classifications/icd/en/. Accessed May 14, 2011
  14. 14.
    GeoLytics Census Reference Package. New Brunswick, NJ: GeoLytics (2011) http://www.geolytics.com/USCensus,Census-Research-Package,Products.asp. Accessed May 14, 2011
  15. 15.
    US Census (2011) Historical income tables for counties. http://www.census.gov/hhes/www/income/data/historical/county/county2.html. Accessed May 14, 2011
  16. 16.
    US Department of Labor, Bureau of Labor Statistics. Consumer Price Indexes (2011) http://www.bls.gov/cpi/home.htm. Accessed May 14, 2011
  17. 17.
    Mays VM, Ponce NA, Washington DL, Cochran SD (2003) Classification of race and ethnicity: implications for public health. Annu Rev Public Health 24:83–110PubMedGoogle Scholar
  18. 18.
    Kitagawa EM, Hauser PM (1973) Differential mortality in the united states: a study in socioeconomic epidemiology. Harvard University Press, CambridgeGoogle Scholar
  19. 19.
    SAS Institute (2002–2006) SAS 9/1/3: language reference dictionary Fifth Edition. Cary, NC: SAS InstituteGoogle Scholar
  20. 20.
    Keppel K, Pamuk E, Lynch J, Carter-Pokras O, Kim I, Mays V, Pearcy J, Schoenbach V, Weissman JS (2005) Methodological issues in measuring health disparities. Vital Health Stat 141:1–16Google Scholar
  21. 21.
    Greenland S, Drescher K (1993) Maximum likelihood estimation of the attributable fraction from logistic models. Biometrics 49:865–872PubMedCrossRefGoogle Scholar
  22. 22.
    Kim HJ, Fay MP, Feuer EJ, Midthune DN (2000) Permutation tests for joinpoint regression with applications to cancer rates. Stat Med 19:335–351PubMedCrossRefGoogle Scholar
  23. 23.
    National Cancer Institute (2005) Joinpoint regression program, ver 3.0. Available http://surveillance.cancer.gov/joinpoint/. Accessed May 14, 2011
  24. 24.
    Arias E, Schauman WS, Eschbach K, Sorlie PD, Backlund E (2008) The validity of race and Hispanic origin reporting on death certificates in the United States. Vital Health Stat 2 148:1–23PubMedGoogle Scholar
  25. 25.
    Hetzel AM (1997) History and organization of the vital statistics system. National Center for Health Statistics, BethesdaGoogle Scholar
  26. 26.
    Clark JR, Moul DA (2004) Census 2000 testing, experimentation, and evaluation program topic report no. 10, TR-10, coverage and improvement in census 2000 enumeration. US Census Bureau, WashingtonGoogle Scholar
  27. 27.
    Koh H (ed) (2009) Toward the elimination of cancer disparities: a clinical and public health perspective. Springer, New YorkGoogle Scholar
  28. 28.
    Mackenbach JP, Bos V, Andersen O, Cardano M, Costa G, Harding S, Reid A, Hemström O, Valkonen T, Kunst AE (2003) Widening socioeconomic inequalities in mortality in six Western European countries. Int J Epidemiol 32:830–837PubMedCrossRefGoogle Scholar
  29. 29.
    Fawcett J, Blakely T (2007) Cancer is overtaking cardiovascular disease as the main driver of socioeconomic inequalities in mortality: New Zealand (1981–99). J Epidemiol Community Health 61:59–66PubMedCrossRefGoogle Scholar
  30. 30.
    Anderson WF, Camargo MC, Fraumeni JF Jr, Correa P, Rosenberg PS, Rabkin CS (2010) Age-specific trends in incidence of noncardia gastric cancer in US adults. JAMA 303:1723–1728PubMedCrossRefGoogle Scholar
  31. 31.
    Koh HK, Lequra L, Short SM (2009) Disparities in tobacco use and lung cancer. In: Koh H (ed) Toward the elimination of cancer disparities: a clinical and public health perspective. Springer, New York, pp 109–136Google Scholar
  32. 32.
    Newmann S, Garner E (2005) Social inequities along the cervical cancer continuum: a structured review. Cancer Causes Control 16:63–70PubMedCrossRefGoogle Scholar
  33. 33.
    del Carmen M, Diaz-Montez (2009) Disparities and cervical cancer. In: Koh H (ed) Toward the elimination of cancer disparities: a clinical and public health perspective. Springer, New York, pp. 203–226Google Scholar
  34. 34.
    Bigby J, Holmes M (2005) Disparities across the breast cancer continuum. Cancer Causes Control 16:35–44PubMedCrossRefGoogle Scholar
  35. 35.
    Wallington SF, Brawley OW, Holmes MD (2009) Socioeconomic status and breast cancer disparities. In: Koh H (ed) Toward the elimination of cancer disparities: a clinical and public health perspective. Springer, New York, pp 137–160Google Scholar
  36. 36.
    Krieger N, Chen JT, Waterman PD, Rehkopf DH, Yin R, Coull BA (2006) Race/ethnicity and changing US socioeconomic gradients in breast cancer incidence: California and Massachusetts, 1978–2002. Cancer Causes Control 17:217–226PubMedCrossRefGoogle Scholar
  37. 37.
    Krieger N, Chen JT, Waterman PD (2010) Decline in US breast cancer rates after the women’s health initiative: socioeconomic and racial/ethnic differentials. Am J Public Health 100:S132–S139; NIHMS # 171687. Erratum (2010): Am J Public Health 100: 972Google Scholar
  38. 38.
    Palmer RC, Schneider EC (2005) Social disparities across the continuum of colorectal cancer: a systematic review. Cancer Causes Control 16:55–61PubMedCrossRefGoogle Scholar
  39. 39.
    Schneider EC (2009) Disparities and colorectal cancer. In: Koh H (ed) Toward the elimination of cancer disparities: a clinical and public health perspective. Springer, New York, pp 161–178Google Scholar
  40. 40.
    Gilligan T (2005) Social disparities and prostate cancer: mapping the gaps in our knowledge. Cancer Causes Control 16:45–53PubMedCrossRefGoogle Scholar
  41. 41.
    Brawley OW, Wallington WF (2009) Disparities in prostate cancer. In: Koh H (ed) Toward the elimination of cancer disparities: a clinical and public health perspective. Springer, New York, pp 179–202Google Scholar
  42. 42.
    Kington RS, Nickens HW (2001) Racial and ethnic difference in health: recent trends, current patterns, future directions. In: Smelser NJ, Wilson WJ, Mitchell F (eds) America becoming: racial trends and their consequences, vol 2. National Academy Press, Washington, pp 253–310Google Scholar
  43. 43.
    Williams DR (2005) The health of US racial and ethnic populations. J Gerontol Ser B 60B(Special Issue II):53–62CrossRefGoogle Scholar
  44. 44.
    Krieger N (2005) Defining and investigating social disparities in cancer: critical issues. Cancer Causes Control 16:5–14PubMedCrossRefGoogle Scholar
  45. 45.
    Freeman HP (2004) Poverty, culture, and social injustice: determinants of cancer disparities. CA Cancer J Clin 54:72–77PubMedCrossRefGoogle Scholar
  46. 46.
    Krieger N (2000) Discrimination and health. In: Berkman L, Kawachi I (eds) Social epidemiology. Oxford University Press, New York, pp 36–75Google Scholar
  47. 47.
    Krieger N, Williams D, Moss N (1997) Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health 18:341–378PubMedCrossRefGoogle Scholar
  48. 48.
    Lynch J, Kaplan G (2000) Socioeconomic position. In: Berkman L, Kawachi I (eds) Social Epidemiology. Oxford University Press, New York, pp 13–35Google Scholar
  49. 49.
    Fairclough A (2001) Better day coming: blacks and equality, 1890–2000. Viking, New YorkGoogle Scholar
  50. 50.
    Smelser NJ, Wilson WJ, Mitchell F, eds (2001) America becoming: racial trends and their consequences. Volumes I and II. National Research Council, Commission on Behavioral and Social Sciences and Education. Washington, DC: National Academy PressGoogle Scholar
  51. 51.
    Scholz JK, Levine K (2004) US Black-white wealth inequality. In: Neckerman KM (ed) Social inequality. Russell Sage, New York, pp 524–544Google Scholar
  52. 52.
    Krieger N, Emmons K, Williams D (2009) Defining, investigating, and addressing cancer inequities: critical issues. In: Koh H (ed) Toward the elimination of cancer disparities: a clinical and public health perspective. Springer, New York, pp 3–28CrossRefGoogle Scholar
  53. 53.
    Sorensen G, Sembajwe G, Harley A, Quintiliani L (2009) Work and occupation: important indicators of socioeconomic position and life experiences influencing cancer disparities. In: Koh H (ed) Toward the elimination of cancer disparities: a clinical and public health perspective. Springer, New York, pp 29–48Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Nancy Krieger
    • 1
  • Jarvis T. Chen
    • 1
  • Anna Kosheleva
    • 1
  • Pamela D. Waterman
    • 1
  1. 1.Department of SocietyHuman Development and Health (SHDH), Harvard School of Public Health (HSPH)BostonUSA

Personalised recommendations