Skip to main content

Advertisement

Log in

Spatial clusters of cancer incidence: analyzing 1940 census data linked to 1966–2017 cancer records

  • Original Paper
  • Published:
Cancer Causes & Control Aims and scope Submit manuscript

Abstract

Purpose

A life course perspective to cancer incidence is important for understanding effects of the environment during early life on later cancer risk. We assessed spatial clusters of cancer incidence based on early life location defined as 1940 US Census Enumeration District (ED).

Methods

A cohort of 260,585 individuals aged 0–40 years in 1940 was selected. Individuals were followed from 1940 to cancer diagnosis, death, or last residence in Utah. We geocoded ED centroids in Utah for the 1940 Census. Spatial scan statistics with purely spatial elliptic scanning window were used to identify spatial clusters of EDs with excess cancer rates across 26 cancer types, assuming a discrete Poisson model.

Results

Cancer was diagnosed in 66,904 (25.67%) individuals during follow-up across 892 EDs. Average follow-up was 50.9 years. We detected 15 clusters of excess risk for bladder, breast, cervix, colon, lung, melanoma, oral, ovary, prostate, and soft tissue cancers. An urban area had dense overlap of multiple cancer types, including two EDs at increased risk for five cancer types each.

Conclusions

Early environments may contribute to cancer risk later in life. Life course perspectives applied to the study of cancer incidence can provide insights for increasing understanding of cancer etiology.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  1. Barker DJ, Martyn CN (1992) The maternal and fetal origins of cardiovascular disease. J Epidemiol Community Health 46(1):8–11

    Article  CAS  Google Scholar 

  2. Ben-Shlomo Y, Cooper R, Kuh D (2016) The last two decades of life course epidemiology, and its relevance for research on ageing. Int J Epidemiol 45(4):973–988

    Article  Google Scholar 

  3. Ben-Shlomo Y, Kuh D (2002) A life course approach to chronic disease epidemiology: conceptual models, empirical challenges and interdisciplinary perspectives. Int J Epidemiol 31(2):285–293

    Article  Google Scholar 

  4. Hanson HA, Smith KR, Zimmer Z (2015) Reproductive history and later-life comorbidity trajectories: a medicare-linked cohort study from the Utah Population Database. Demography 52(6):2021–2049

    Article  Google Scholar 

  5. Hanson M, Gluckman P (1758S) Developmental origins of noncommunicable disease: population and public health implications. Am J Clin Nutr 94(6):1754S–1758S

    Article  CAS  Google Scholar 

  6. Lekkas P, Paquet C, Howard NJ, Daniel M (2017) Illuminating the lifecourse of place in the longitudinal study of neighbourhoods and health. Soc Sci Med 177:239–247

    Article  Google Scholar 

  7. Estampador AC, Franks PW (2018) Precision medicine in obesity and type 2 diabetes: the relevance of early-life exposures. Clin Chem 64(1):130–141

    Article  CAS  Google Scholar 

  8. Fan B, Yang Y, Dayimu A, Zhou G, Liu Y, Li S, Chen W, Zhang T, Xue F (2019) Body mass index trajectories during young adulthood and incident hypertension: a longitudinal cohort in Chinese population. J Am Heart Assoc 8(8):e011937

    Article  Google Scholar 

  9. Pollock BD, Stuchlik P, Harville EW, Mills KT, Tang W, Chen W, Bazzano LA (2019) Life course trajectories of cardiovascular risk: impact on atherosclerotic and metabolic indicators. Atherosclerosis 280:21–27

    Article  CAS  Google Scholar 

  10. Rogers NT, Power C, Pinto Pereira SM (2019) Birthweight, lifetime obesity and physical functioning in mid-adulthood: a nationwide birth cohort study. Int J Epidemiol. https://doi.org/10.1093/ije/dyz120

    Article  Google Scholar 

  11. Hansen S, Strøm M, Olsen SF, Dahl R, Hoffmann HJ, Granström C et al (2016) Prenatal exposure to persistent organic pollutants and offspring allergic sensitization and lung function at 20 years of age. Clin Exp Allergy 46(2):329–336

    Article  CAS  Google Scholar 

  12. De Rubeis V, Cotterchio M, Smith BT, Griffith LE, Borgida A, Gallinger S, Cleary S, Anderson LN (2019) Trajectories of body mass index, from adolescence to older adulthood, and pancreatic cancer risk; a population-based case–control study in Ontario, Canada. Cancer Causes Control 30(9):955–966

    Article  Google Scholar 

  13. Stroup AM, Herget KA, Hanson HA, Reed DL, Butler JT, Henry KA, Harrell CJ, Sweeney C, Smith KR (2017) Baby boomers and birth certificates: early-life socioeconomic status and cancer risk in adulthood. Cancer Epidemiol Biomark Prev 26(1):75–84

    Article  Google Scholar 

  14. Phillips DIW, Osmond C, Williams ML, Jones A (2017) Air pollution in early life and adult mortality from chronic rheumatic heart disease. Int J Epidemiol 46(4):1107–1114

    PubMed  Google Scholar 

  15. Yoshida T, Yamauchi H, Fan Sun G (2004) Chronic health effects in people exposed to arsenic via the drinking water: dose–response relationships in review. Toxicol Appl Pharmacol 198(3):243–252

    Article  CAS  Google Scholar 

  16. Hanson HA, Hay WW Jr, Tobin JN, Barkin SL, Atkins M, Karagas MR, Dozier AM, Wetmore C, Konstan MW, Heubi JE (2018) Opportunities for life course research through the integration of data across Clinical and Translational Research Institutes. J Clin Transl Sci 2(3):156–162

    Article  Google Scholar 

  17. Kulldorff M (1997) A spatial scan statistic. Commun Statist Theory Methods 26(6):1481–1496

    Article  Google Scholar 

  18. Kulldorff M, Feuer EJ, Miller BA, Freedma LS (1997) Breast cancer clusters in the Northeast United States: a geographic analysis. Am J Epidemiol 146(2):161–170

    Article  CAS  Google Scholar 

  19. Chu J, Zhou C, Guo X, Sun J, Xue F, Zhang J, Zilong L, Zhentao F, Aiqiang X (2017) Female breast cancer mortality clusters in Shandong Province, China: a spatial analysis. Sci Rep 7(1):105

    Article  Google Scholar 

  20. The US National Archives and Records Administration (2019) 1940 Census. United States National Archives https://1940census.archives.gov/. Accessed Oct 2019

  21. Kulldorff M (2016) SaTScan user guide version 9.0. https://www.satscan.org.

  22. Kulldorf M, Huang L, Pickle L, Duczmal L (2006) An elliptic spatial scan statistic. Statist Med 25:329–3943

    Article  Google Scholar 

  23. Han J, Zhu L, Kulldorff M, Hostovich S, Stinchcomb DG, Tatalovich Z, Lewis DR, Feuer EJ (2016) Using Gini coefficient to determining optimal cluster reporting sizes for spatial scan statistics. Int J Health Geogr 15(1):27

    Article  Google Scholar 

  24. Ray GT, Kulldorff M, Asgari MM (2016) Geographic clusters of basal cell carcinoma in a Northern California health plan population. JAMA Dermatol 152(11):1218–1224

    Article  Google Scholar 

  25. Konstantinoudis G, Kreis C, Ammann RA, Niggli F, Kuehni CE, Spycher BD, Swiss Paediatric Ongology Group, Swiss National Cohort Study Group (2018) Spatial clustering of childhood cancers in Switzerland: a nationwide study. Cancer Causes Control 29(3):353–362

    Article  Google Scholar 

  26. Dockerty JD, Sharples KJ, Borman B (1999) An assessment of spatial clustering of leukaemias and lymphomas among young people in New Zealand. J Epidemiol Community Health 53(3):154–158

    Article  CAS  Google Scholar 

  27. Carpenter DO, Bushkin-Bedient S (2013) Exposure to chemicals and radiation during childhood and risk for cancer later in life. J Adolesc Health 52(5):S9–S21

    Article  Google Scholar 

  28. Meyer TE, Coker AL, Sanderson M, Symanski E (2007) A case-control study of farming and prostate cancer in African-American and Caucasian men. Occup Environ Med 64(3):155–160

    Article  Google Scholar 

  29. Sritharan J, MacLeod J, Harris S, Cole DC, Harris A, Tjepkema M, Peters PA, Demers PA (2018) Prostate cancer surveillance by occupation and industry: the Canadian Census Health and Environment Cohort (CanCHEC). Cancer Med 7(4):1468–1478

    Article  Google Scholar 

  30. Gandini S, Sera F, Cattaruzza MS, Pasquini P, Picconi O, Boyle P, Melchi CF (2005) Meta-analysis of risk factors for cutaneous melanoma: II. Sun exposure. Eur J Cancer 41(1):45–60

    Article  Google Scholar 

  31. Taeger D, Pesch B, Kendzia B, Behrens T, Jöckel K-H, Dahmann D et al (2015) Lung cancer among coal miners, ore miners and quarrymen: smoking-adjusted risk estimates from the synergy pooled analysis of case–control studies. Scand J Work Environ Health 41(5):467–477

    Article  Google Scholar 

  32. CDC (2011) Vital Signs: current cigarette smoking among adults aged %3e= 18 Years—United States, 2005–2010. MMWR Morb Mortal Wkly Rep 60:1207–1212

    Google Scholar 

  33. Alexandrov LB, Kim J, Haradvala NJ, Huang MN, Ng AWT, Wu Y, Boot A et al (2020) The repertoire of mutational signatures in human cancer. Nature 578:95–101

    Article  Google Scholar 

  34. Ahern J, Galea S, Hubbard A, Syme SL (2009) Neighborhood smoking norms modify the relation between collective efficacy and smoking behavior. Drug Alcohol Depend 100(1–2):138–145

    Article  Google Scholar 

  35. Stimpson JP, Hyunsu J, Mukaila RA, Eschbach K (2007) Neighborhood deprivation and health risk behaviors in NHANES III. Am J Health Behav 31(2):215–222

    Article  Google Scholar 

  36. American Cancer Society (2020) Arsenic and cancer risk. American Cancer Society Inc. https://www.cancer.org/cancer/cancer-causes/arsenic.html. Accessed 28 Feb 2020.

  37. Cogliano VJ, Bean R, Straif K, Grosse Y, Lauby-Secretan B, Ghissassi FE et al (2011) Preventable exposures associated with human cancers. J Natl Cancer Inst 103:1827–1839

    Article  Google Scholar 

  38. International Agency for Research on Cancer (IARC) (2014) IARC monographs on the evaluation of carcinogenic risks to humans. Lyon, France

    Google Scholar 

  39. Guo J, Kauppinen T, Kyyrönen HP, Lindbohm ML, Pukkala E (2004) Risk of esophageal, ovarian, testicular, kidney, and bladder cancers and leukemia among finnish workers exposed to diesel or gasoline engine exhaust. Int J Cancer 111:286–292

    Article  CAS  Google Scholar 

  40. Mahabir S, Aagaard K, Anderson LM, Herceg Z, Hiatt RA, Hoover RN et al (2012) Challenges and opportunities in research on early-life events/exposures and cancer development later in life. Cancer Causes Control 23(6):983–990

    Article  Google Scholar 

  41. Wray AJD, Minaker LM (2019) Is cancer prevention influenced by the built environment? A multidisciplinary scoping review. Cancer 125(19):3299–3311

    Article  Google Scholar 

  42. Ozonoff A, Jeffery C, Manjourides J, White LF, Pagano M (2007) Effect of spatial resolution on cluster detection: a simulation study. Int J Health Geogr 6:52

    Article  Google Scholar 

Download references

Acknowledgments

This study was supported by the National Institutes of Health (1K12HD085852-01).

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by CLL, MT, RH, and HAH. The first draft of the manuscript was written by CL and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Claire L. Leiser.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Leiser, C.L., Taddie, M., Hemmert, R. et al. Spatial clusters of cancer incidence: analyzing 1940 census data linked to 1966–2017 cancer records. Cancer Causes Control 31, 609–615 (2020). https://doi.org/10.1007/s10552-020-01302-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10552-020-01302-3

Keywords

Navigation