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Journal of Epidemiology and Community Health logoLink to Journal of Epidemiology and Community Health
. 2005 Feb;59(2):146–151. doi: 10.1136/jech.2004.021006

Is the rate of biological aging, as measured by age at diagnosis of cancer, socioeconomically patterned?

J Adams 1, M White 1, D Forman 1
PMCID: PMC1732995  PMID: 15650147

Abstract

Study objective: To investigate the hypothesis that biological aging, as measured by age at diagnosis of some common cancers, is socioeconomically patterned.

Design: A cross sectional analysis of the association between an area based measure of material deprivation and age at diagnosis of four common cancers (breast, prostate, colorectal, and lung cancers). A further analysis, restricted to breast and colorectal cancer, adjusted for stage and grade of cancer at diagnosis.

Setting: The Northern and Yorkshire cancer registry and information service, Northern and Yorkshire region, UK.

Participants: All people living in the Northern and Yorkshire region diagnosed with breast, prostate, colorectal, or lung cancer in 1986–1995. All people living in the Northern and Yorkshire region diagnosed with breast or colorectal cancer in 1998–2000 with data on stage and grade of cancer at diagnosis.

Main results: There was evidence that greater material deprivation was associated with younger age at diagnosis of cancer in prostate (ß coefficient –0.073), colorectal (women: –0.042; men: –0.063), and lung cancer (women: –0.214; men: –0.161). The opposite association was found in women with breast cancer (0.149). Adjusting for stage and grade at incidence, where possible, had little effect on the magnitude of the ß coefficients.

Conclusions: Age at diagnosis of some common cancers seems to be socioeconomically patterned with people from more deprived areas being diagnosed with prostate, colorectal, and lung cancers earlier in life. The opposite was seen in women with breast cancer. Further work is required to investigate the socioeconomic distribution of more accurate measures of biological aging.

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Selected References

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  1. Aggarwal V. R., Macfarlane T. V., Macfarlane G. J. Why is pain more common amongst people living in areas of low socio-economic status? A population-based cross-sectional study. Br Dent J. 2003 Apr 12;194(7):383–380. doi: 10.1038/sj.bdj.4810004. [DOI] [PubMed] [Google Scholar]
  2. Awadh-Behbehani N., Al-Humood K., Ayed A., Memon A., Ali A. Comparison between young and old patients with bronchogenic carcinoma. Acta Oncol. 2000;39(8):995–999. doi: 10.1080/02841860050215990. [DOI] [PubMed] [Google Scholar]
  3. Blanks R. G., Moss S. M., McGahan C. E., Quinn M. J., Babb P. J. Effect of NHS breast screening programme on mortality from breast cancer in England and Wales, 1990-8: comparison of observed with predicted mortality. BMJ. 2000 Sep 16;321(7262):665–669. doi: 10.1136/bmj.321.7262.665. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Brewster D. H., Thomson C. S., Hole D. J., Black R. J., Stroner P. L., Gillis C. R. Relation between socioeconomic status and tumour stage in patients with breast, colorectal, ovarian, and lung cancer: results from four national, population based studies. BMJ. 2001 Apr 7;322(7290):830–831. doi: 10.1136/bmj.322.7290.830. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bundred P., Manning D., Brewster B., Buchan I. Social trends in singleton births and birth weight in Wirral residents, 1990-2001. Arch Dis Child Fetal Neonatal Ed. 2003 Sep;88(5):F421–425. doi: 10.1136/fn.88.5.F421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Carnon A. G., Ssemwogerere A., Lamont D. W., Hole D. J., Mallon E. A., George W. D., Gillis G. R. Relation between socioeconomic deprivation and pathological prognostic factors in women with breast cancer. BMJ. 1994 Oct 22;309(6961):1054–1057. doi: 10.1136/bmj.309.6961.1054. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Charlton B. G., White M. Living on the margin: a salutogenic model for socio-economic differentials in health. Public Health. 1995 Jul;109(4):235–243. doi: 10.1016/s0033-3506(95)80200-2. [DOI] [PubMed] [Google Scholar]
  8. Cournil A., Kirkwood T. B. If you would live long, choose your parents well. Trends Genet. 2001 May;17(5):233–235. doi: 10.1016/s0168-9525(01)02306-x. [DOI] [PubMed] [Google Scholar]
  9. Crimmins E. M., Saito Y. Trends in healthy life expectancy in the United States, 1970-1990: gender, racial, and educational differences. Soc Sci Med. 2001 Jun;52(11):1629–1641. doi: 10.1016/s0277-9536(00)00273-2. [DOI] [PubMed] [Google Scholar]
  10. Erdreich L. S., Asal N. R., Hoge A. F. Morphologic types of breast cancer: age, bilaterality, and family history. South Med J. 1980 Jan;73(1):28–32. doi: 10.1097/00007611-198001000-00012. [DOI] [PubMed] [Google Scholar]
  11. Feltbower R. G., McKinney P. A., Campbell F. M., Stephenson C. R., Bodansky H. J. Type 2 and other forms of diabetes in 0-30 year olds: a hospital based study in Leeds, UK. Arch Dis Child. 2003 Aug;88(8):676–679. doi: 10.1136/adc.88.8.676. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Fuhrer R., Shipley M. J., Chastang J. F., Schmaus A., Niedhammer I., Stansfeld S. A., Goldberg M., Marmot M. G. Socioeconomic position, health, and possible explanations: a tale of two cohorts. Am J Public Health. 2002 Aug;92(8):1290–1294. doi: 10.2105/ajph.92.8.1290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Garvican L., Littlejohns P. Comparison of prognostic and socio-economic factors in screen-detected and symptomatic cases of breast cancer. Public Health. 1998 Jan;112(1):15–20. doi: 10.1038/sj.ph.1900421. [DOI] [PubMed] [Google Scholar]
  14. Guarente L., Kenyon C. Genetic pathways that regulate ageing in model organisms. Nature. 2000 Nov 9;408(6809):255–262. doi: 10.1038/35041700. [DOI] [PubMed] [Google Scholar]
  15. Jordan H., Roderick P., Martin D. The Index of Multiple Deprivation 2000 and accessibility effects on health. J Epidemiol Community Health. 2004 Mar;58(3):250–257. doi: 10.1136/jech.2003.013011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Kirkwood T. B., Austad S. N. Why do we age? Nature. 2000 Nov 9;408(6809):233–238. doi: 10.1038/35041682. [DOI] [PubMed] [Google Scholar]
  17. Kirkwood T. B., Kowald A. Network theory of aging. Exp Gerontol. 1997 Jul-Oct;32(4-5):395–399. doi: 10.1016/s0531-5565(96)00171-4. [DOI] [PubMed] [Google Scholar]
  18. Krieger N., Williams D. R., Moss N. E. Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health. 1997;18:341–378. doi: 10.1146/annurev.publhealth.18.1.341. [DOI] [PubMed] [Google Scholar]
  19. Lindblom A., Nordenskjöld M. The biology of inherited cancer. Semin Cancer Biol. 2000 Aug;10(4):251–254. doi: 10.1006/scbi.2000.0324. [DOI] [PubMed] [Google Scholar]
  20. Macieira-Coelho A. Neoplastic disease through the human life span. Biogerontology. 2001;2(3):179–192. doi: 10.1023/a:1011552822076. [DOI] [PubMed] [Google Scholar]
  21. Macleod U., Ross S., Gillis C., McConnachie A., Twelves C., Watt G. C. Socio-economic deprivation and stage of disease at presentation in women with breast cancer. Ann Oncol. 2000 Jan;11(1):105–107. doi: 10.1023/a:1008385321476. [DOI] [PubMed] [Google Scholar]
  22. McNally Richard J. Q., Alston Robert D., Cairns Donal P., Eden Osborn B., Birch Jillian M. Geographical and ecological analyses of childhood acute leukaemias and lymphomas in north-west England. Br J Haematol. 2003 Oct;123(1):60–65. doi: 10.1046/j.1365-2141.2003.04558.x. [DOI] [PubMed] [Google Scholar]
  23. Mettlin C. J., Murphy G. P., Cunningham M. P., Menck H. R. The National Cancer Data Base report on race, age, and region variations in prostate cancer treatment. Cancer. 1997 Oct 1;80(7):1261–1266. [PubMed] [Google Scholar]
  24. Rizk N. W., Faul J. L. Diagnosis and natural history of pulmonary infections in transplant recipients. Chest. 2000 Feb;117(2):303–305. doi: 10.1378/chest.117.2.303. [DOI] [PubMed] [Google Scholar]
  25. Sutton S., Bickler G., Sancho-Aldridge J., Saidi G. Prospective study of predictors of attendance for breast screening in inner London. J Epidemiol Community Health. 1994 Feb;48(1):65–73. doi: 10.1136/jech.48.1.65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Taylor Aliki, Cheng K. K. Social deprivation and breast cancer. J Public Health Med. 2003 Sep;25(3):228–233. doi: 10.1093/pubmed/fdg072. [DOI] [PubMed] [Google Scholar]
  27. Thomson C. S., Hole D. J., Twelves C. J., Brewster D. H., Black R. J., Scottish Cancer Therapy Network Prognostic factors in women with breast cancer: distribution by socioeconomic status and effect on differences in survival. J Epidemiol Community Health. 2001 May;55(5):308–315. doi: 10.1136/jech.55.5.308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Wick G., Jansen-Dürr P., Berger P., Blasko I., Grubeck-Loebenstein B. Diseases of aging. Vaccine. 2000 Feb 25;18(16):1567–1583. doi: 10.1016/s0264-410x(99)00489-2. [DOI] [PubMed] [Google Scholar]

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