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Cancer incidence in urban, rural, and densely populated districts close to core cities in Bavaria, Germany

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Abstract

Objective

An ecologic study on the level of districts was performed to evaluate the possible association between district type and risk of cancer in Bavaria, Southern Germany.

Methods

Cancer incidence data for the years 2003–2012 were obtained from the population-based cancer registry Bavaria according to sex and cancer site. Data on district type, socio-economic area deprivation, particulate matter exposure, tobacco consumption, and alcohol consumption were obtained from publicly available sources. The possible association between district type and cancer risk adjusted for age, socio-economic area deprivation, particulate matter exposure, tobacco consumption, and alcohol consumption was evaluated using multivariable multi-level negative binomial regression.

Results

We found a significantly reduced cancer risk in densely populated districts close to core cities and/or rural districts compared to core cities with respect to the cancer sites mouth and pharynx (women only), liver (both sexes), larynx (both sexes), lung (both sexes), melanoma of the skin (both sexes), mesothelioma (men only), connective and soft tissue (both sexes), corpus uteri, other urinary tract (men only), urinary bladder (both sexes), and non-Hodgkin lymphoma (both sexes).

Conclusion

Our findings require further monitoring. Since the apparently increased cancer risk in core cities may be related to lifestyle factors, preventive measures against lifestyle-related cancer could be specifically targeted at populations in deprived core cities.

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Abbreviations

95%-CI:

95% confidence interval

BIMD:

Bavarian Index of Multiple Deprivation

CLDM:

Age-adjusted mortality rate per 100,000 persons per year (European standard population) with respect to chronic liver disease

LCM:

Age-adjusted mortality rate per 100,000 persons per year (European standard population) with respect to lung cancer

DPOC:

Densely populated outer conurbation

HPV:

Human papillomaviruses

ICD-10:

International Statistical Classification of Diseases and Related Health Problems (Tenth Revision)

ICD-O-3:

International Classification of Diseases for Oncology (Third Edition)

PM-10:

Ambient pollution with particles with a diameter of 10 µm or less (µg/m3)

RR:

Risk ratio

References

  • Bagnardi V, Blangiardo M, La Vecchia C, Corrao G (2001) Alcohol consumption and the risk of cancer: a meta-analysis. Alcohol Res Health 25(4):263–270

    CAS  Google Scholar 

  • Bako G, Dewar R, Hanson J, Hill G (1984) Population density as an indicator of urban-rural differences in cancer incidence, Alberta, Canada, 1969–73. Can J Pub Health 75(2):152–156

    CAS  Google Scholar 

  • Bayerisches Landesamt für Statistik (2006) [Statistical Yearbook for Bavaria 2006] Statistisches Jahrbuch für Bayern 2006. Bayerisches Landesamt für Statistik, München

    Google Scholar 

  • Bayerisches Landesamt für Statistik (2013) [Bavarian population according to districts, age groups, and sex 2003–2012] Bayerische Bevölkerung nach Kreisen, Altersgruppen und Geschlecht 2003–2012, München

  • Bayerisches Landesamt für Statistik (2014) [Deceased persons in Bavaria according to cause of death, districts, age groups, and sex 1998–2012] Gestorbene in Bayern nach Todesursachen, Kreisen, Altersgruppen und Geschlecht 1998–2012, München

  • Best N, Hansell AL (2009) Geographic variations in risk: adjusting for unmeasured confounders through joint modeling of multiple diseases. Epidemiology (Cambridge, Mass) 20(3):400–410

    Article  Google Scholar 

  • Bundesinstitut für Bau-, Stadt- und Raumforschung (2011) [Reference file districs—combined district types. Version 2008] Referenzdatei Kreise—zusammengefasste Kreistypen. Stand 2008, Bonn

  • Castaño-Vinyals G, Cantor KP, Malats N, Tardon A, Garcia-Closas R, Serra C, Carrato A, Rothman N, Vermeulen R, Silverman D, Dosemeci M, Kogevinas M (2008) Air pollution and risk of urinary bladder cancer in a case–control study in Spain. Occup Environ Med 65(1):56–60

    Article  Google Scholar 

  • Cavelaars AE, Kunst AE, Geurts JJ, Crialesi R, Grötvedt L, Helmert U, Lahelma E, Lundberg O, Matheson J, Mielck A, Rasmussen NK, Regidor E, do Rosário-Giraldes M, Spuhler T, Mackenbach JP (2000) Educational differences in smoking: international comparison. BMJ 320(7242):1102–1107

    Article  CAS  Google Scholar 

  • Cutler DM, Lleras-Muney A (2010) Understanding differences in health behaviors by education. J Health Econ 29(1):1–28

    Article  Google Scholar 

  • Doll R (1991) Urban and rural factors in the aetiology of cancer. Int J Cancer 47(6):803–810

    Article  CAS  Google Scholar 

  • Eberle A, Luttmann S, Foraita R, Pohlabeln H (2010) Socioeconomic inequalities in cancer incidence and mortality—a spatial analysis in Bremen, Germany. J Public Health 18(3):227–235

    Article  Google Scholar 

  • Finch WH, Bolin JE, Kelley K (2014) Multilevel modeling using R, 1st edn. CRC Press, Boca Raton

    Google Scholar 

  • Friis S, Storm HH (1993) Urban-rural variation in cancer incidence in Denmark 1943–1987. Eur J Cancer 29(4):538–544

    Article  Google Scholar 

  • Fritz A, Jack A, Parkin DM, Percy C, Shanmugarathan S, Sobin LH, Whelan SL, World Health Organization (2000) International Classification of Diseases for Oncology: ICD-O-3, 3rd edn. World Health Organization, Geneva

    Google Scholar 

  • Gandini S, Botteri E, Iodice S, Boniol M, Lowenfels AB, Maisonneuve P, Boyle P (2008) Tobacco smoking and cancer: a meta-analysis. Int J Cancer 122(1):155–164

    Article  CAS  Google Scholar 

  • Gilman SE, Martin LT, Abrams DB, Kawachi I, Kubzansky L, Loucks EB, Rende R, Rudd R, Buka SL (2008) Educational attainment and cigarette smoking: a causal association? Int J Epidemiol 37(3):615–624. doi:10.1093/ije/dym250

    Article  Google Scholar 

  • Giskes K, Kunst AE, Benach J, Borrell C, Costa G, Dahl E, Dalstra JAA, Federico B, Helmert U, Judge K, Lahelma E, Moussa K, Ostergren PO, Platt S, Prattala R, Rasmussen NK, Mackenbach JP (2005) Trends in smoking behaviour between 1985 and 2000 in nine European countries by education. J Epidemiol Comm Health 59(5):395–401. doi:10.1136/jech.2004.025684

    Article  CAS  Google Scholar 

  • Goebel J, Wurm M (2010) Räumliche Unterschiede im Armutsrisiko in Ost- und Westdeutschland. In: Krause P, Ostner I (eds) Leben in Ost-und Westdeutschland: Eine sozialwissenschaftliche Bilanz der deutschen Einheit 1990–2010. Campus Verlag, Frankfurt/M., pp 673–692

    Google Scholar 

  • Grant WB, Garland CF (2006) The association of solar ultraviolet B (UVB) with reducing risk of cancer: multifactorial ecologic analysis of geographic variation in age-adjusted cancer mortality rates. Anticancer Res 26(4A):2687–2699

    CAS  Google Scholar 

  • Haberland J, Bertz J, Görsch B, Schön D (2001) Krebsinzidenzschätzungen für Deutschland mittels log-linearer Modelle [Cancer incidence estimates for Germany via log-linear models]. Gesundheitswesen 63(8-9):556–560 (German)

    Article  CAS  Google Scholar 

  • Helmert U, Borgers D, Bammann K (2001) [Social determinants of smoking behavior in Germany: results of the microcensus 1995] Soziale Determinanten des Rauchverhaltens in Deutschland: Ergebnisse des Mikrozensus 1995. Soz Präventivmed 46(3):172–181

    Article  CAS  Google Scholar 

  • Hemminki K, Li X (2003) Mesothelioma is a killer of urban men in Sweden. Int J Cancer 105(1):144–146

    Article  CAS  Google Scholar 

  • Hemminki K, Zhang H, Czene K (2003) Socioeconomic factors in cancer in Sweden. Int J Cancer 105(5):692–700

    Article  CAS  Google Scholar 

  • Henau K, van Eycken E, Silversmit G, Pukkala E (2015) Regional variation in incidence for smoking and alcohol related cancers in Belgium. Cancer Epidemiol 39(1):55–65

    Article  Google Scholar 

  • Hentschel S, Katalinic A (eds) (2008) Das Manual der epidemiologischen Krebsregistrierung. Zuckschwerdt, München

    Google Scholar 

  • Howe HL, Keller JE, Lehnherr M (1993) Relation between population density and cancer incidence, Illinois, 1986–1990. Am J Epidemiol 138(1):29–36

    Article  CAS  Google Scholar 

  • Hrubá F, Fabiáová E, Bencko V, Cassidy A, Lissowska J, Mates D, Rudnai P, Zaridze D, Foretová L, Janout V, Szeszenia-Dabrowska N, Brennan P, Boffetta P (2009) Socioeconomic indicators and risk of lung cancer in Central and Eastern Europe. Cent Eur J Public Health 17(3):115–121

    Google Scholar 

  • Idris BI, Giskes K, Borrell C, Benach J, Costa G, Federico B, Helakorpi S, Helmert U, Lahelma E, Moussa KM, Östergren PO, Prättälä R, Rasmussen NK, Mackenbach JP, Kunst AE (2007) Higher smoking prevalence in urban compared to non-urban areas: time trends in six European countries. Health Place 13(3):702–712

    Article  Google Scholar 

  • International Agency for Research on Cancer, World Health Organization, International Association of Cancer Registries, European Network of Cancer Registries (2004) International rules for multiple primary cancers (ICD-O third edition): Internal report no. 2004/02, Lyon

  • Jenks GF, Caspall FC (1971) Error on choroplethic maps: definition, measurement, reduction. Ann Assoc Am Geog 61(2):217–244

    Article  Google Scholar 

  • Jiang AJ, Rambhatla PV, Eide MJ (2015) Socioeconomic and lifestyle factors and melanoma: a systematic review. Br J Dermatol 172(4):885–915

    Article  CAS  Google Scholar 

  • Kemptner D, Wildner M, Abu-Omar K, Caselmann WH, Kerscher G, Reitmeir P, Mielck A, Rütten A (2008) [Regional differences in health behaviour in Bavaria—a multilevel analysis of a representative population questionnaire in combination with socioeconomic structural data] Regionale Unterschiede des Gesundheitsverhaltens in Bayern—Mehrebenenanalyse einer bevölkerungsrepräsentativen Befragung in Verbindung mit sozioökonomischen Strukturdaten. Gesundheitswesen 70(1):28–37. doi:10.1055/s-2007-1022523

    Article  CAS  Google Scholar 

  • Kogevinas M (1997) Social inequalities and cancer: IARC Scientific Publications. IARC, Lyon

    Google Scholar 

  • Kuznetsov L, Maier W, Hunger M, Meyer M, Mielck A (2011) Associations between regional socioeconomic deprivation and cancer risk: analysis of Population-based Cancer Registry data from Bavaria, Germany. Prev Med 53(4–5):328–330

    Article  Google Scholar 

  • Kuznetsov L, Maier W, Hunger M, Meyer M, Mielck A (2012) Regional deprivation in Bavaria, Germany: linking a new deprivation score with registry data for lung and colorectal cancer. Int J Public Health 57(5):827–835

    Article  Google Scholar 

  • Lampert T, Thamm M (2004) [Social inequality and smoking behavior in Germany] Soziale Ungleichheit des Rauchverhaltens in Deutschland. Bundesgesundheitsbl 47(11):1033–1042. doi:10.1007/s00103-004-0934-0

    Article  CAS  Google Scholar 

  • Leistikow B (2004) Lung cancer rates as an index of tobacco smoke exposures: validation against black male approximate non-lung cancer death rates, 1969–2000. Prev Med 38(5):511–515

    Article  Google Scholar 

  • Mackillop WJ, Zhang-Salomons J, Boyd CJ, Groome PA (2000) Associations between community income and cancer incidence in Canada and the United States. Cancer 89(4):901–912

    Article  CAS  Google Scholar 

  • Maier W, Fairburn J, Mielck A (2012) [Regional Deprivation and Mortality in Bavaria. Development of a Community-Based Index of Multiple Deprivation] Regionale Deprivation und Mortalitat in Bayern. Entwicklung eines, Index Multipler Deprivation’ auf Gemeindeebene. Gesundheitswesen 74:416–425

    Article  CAS  Google Scholar 

  • Marså K, Johnsen NF, Bidstrup PE, Johannesen-Henry CT, Friis S (2008) Social inequality and incidence of and survival from male genital cancer in a population-based study in Denmark, 1994–2003. Eur J Cancer 44(14):2018–2029

    Article  Google Scholar 

  • McFadden E, Luben R, Wareham N, Bingham S, Khaw K (2008) Occupational social class, educational level, smoking and body mass index, and cause-specific mortality in men and women: a prospective study in the European Prospective Investigation of Cancer and Nutrition in Norfolk (EPIC-Norfolk) cohort. Eur J Epidemiol 23(8):511–522. doi:10.1007/s10654-008-9267-x

    Article  Google Scholar 

  • Menck HR, Phillips JL (2004) Central Cancer Registries. In: Hutchison CL, Menck HR, Burch M, Gottschalk R (eds) Cancer registry management: principles and practice, 2nd edn. Kendall/Hunt Pub. Co., Dubuque, pp 403–448

    Google Scholar 

  • Minelli L, Stracci F, Cassetti T, Canosa A, Scheibel M, Sapia IE, Romagnoli C, La Rosa F (2007) Urban-rural differences in gynaecological cancer occurrence in a central region of Italy: 1978–1982 and 1998–2002. Eur J Gynaecol Oncol 28(6):468–472

    CAS  Google Scholar 

  • Morgan K, Armstrong GK, Huppert FA, Brayne C, Solomou W (2000) Healthy ageing in urban and rural Britain: a comparison of exercise and diet. Age Ageing 29(4):341–348

    Article  CAS  Google Scholar 

  • Nasca PC, Burnett WS, Greenwald P (1980) Population density as an indicator of urban-rural differences in cancer incidence, upstate New York, 1968–1972. Am J Epidemiol 112(3):362–375

    Article  CAS  Google Scholar 

  • OpenStreetMap Contributors (2015) OpenStreetMap map data. Openstreetmap Foundation, Sutton Coldfield. http://www.openstreetmap.org/. Accessed 15 Aug 2017

  • Pampel FC, Krueger PM, Denney JT (2010) Socioeconomic disparities in health behaviors. Ann Rev Sociol 36:349–370

    Article  Google Scholar 

  • Parks SE, Housemann RA, Brownson RC (2003) Differential correlates of physical activity in urban and rural adults of various socioeconomic backgrounds in the United States. J Epidemiol Community Health 57(1):29–35

    Article  CAS  Google Scholar 

  • Pearce N (2000) The ecological fallacy strikes back. J Epidemiol Comm Health 54:326–327

    Article  CAS  Google Scholar 

  • Pukkala E, Rautalahti M (2013) Cancer in Finland: publications from the Cancer Society of Finland 2013. Erweko, Helsinki

    Google Scholar 

  • Pukkala E, Teppo L, Hakulinen T, Rimpelä M (1983) Occupation and smoking as risk determinants of lung cancer. Int J Epidemiol 12(3):290–296

    Article  CAS  Google Scholar 

  • R Development Core Team (2007) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna

    Google Scholar 

  • Raaschou-Nielsen O, Andersen ZJ, Beelen R, Samoli E, Stafoggia M, Weinmayr G, Hoffmann B, Fischer P, Nieuwenhuijsen MJ, Brunekreef B, Xun WW, Katsouyanni K, Dimakopoulou K, Sommar J, Forsberg B, Modig L, Oudin A, Oftedal B, Schwarze PE, Nafstad P, de Faire U, Pedersen NL, Ostenson C, Fratiglioni L, Penell J, Korek M, Pershagen G, Eriksen KT, Sørensen M, Tjønneland A, Ellermann T, Eeftens M, Peeters PH, Meliefste K, Wang M, Bueno-de-Mesquita B, Key TJ, de Hoogh K, Concin H, Nagel G, Vilier A, Grioni S, Krogh V, Tsai M, Ricceri F, Sacerdote C, Galassi C, Migliore E, Ranzi A, Cesaroni G, Badaloni C, Forastiere F, Tamayo I, Amiano P, Dorronsoro M, Trichopoulou A, Bamia C, Vineis P, Hoek G (2013) Air pollution and lung cancer incidence in 17 European cohorts: prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE). Lancet Oncol 14(9):813–822

    Article  Google Scholar 

  • Rohrmann S, Kroke A, Boeing H, Becker N (2003) Time trends in cigarette smoking in two German cohorts–results from EPIC Germany. Eur J Cancer Prev 12(4):327–332. doi:10.1097/01.cej.0000081840.21881.55

    Article  CAS  Google Scholar 

  • dos Santos Silva I (1999) Cancer epidemiology: principles and methods. World Health Organization, Geneva

    Google Scholar 

  • Schisterman EF, Cole SR, Platt RW (2009) Overadjustment bias and unnecessary adjustment in epidemiologic studies. Epidemiology 20(4):488–495

    Article  Google Scholar 

  • Schottenfeld D (1996) Principles and applications of cancer prevention. In: Schottenfeld D, Fraumeni JF (eds) Cancer epidemiology and prevention, 2nd edn. Oxford University Press, New York, pp 1404–1406

    Google Scholar 

  • Schouten LJ, Meijer H, Huveneers JA, Kiemeney LA (1996) Urban-rural differences in cancer incidence in The Netherlands 1989–1991. Int J Epidemiol 25(4):729–736

    Article  CAS  Google Scholar 

  • Singh SD, Ajani UA, Johnson CJ, Roland KB, Eide M, Jemal A, Negoita S, Bayakly RA, Ekwueme DU (2011) Association of cutaneous melanoma incidence with area-based socioeconomic indicators-United States, 2004–2006. J Am Acad Dermatol 65(5 Suppl. 1):S58–S68

    Google Scholar 

  • Stern R, Kerschbaumer A, Reimer E (2009) Description of the chemical transport model ‘REM-CALGRID’. http://www.geo.fu-berlin.de/met/ag/trumf/Ausbreitungsmodelle/RCG_Internet_description.pdf. Accessed 15 Aug 2017

  • Stimpson JP, Ju H, Raji MA, Eschbach K (2007) Neighborhood deprivation and health risk behaviors in NHANES III. Am J Health Behav 31(2):215–222

    Article  Google Scholar 

  • Umweltbundesamt (2015) [Particulate matter (PM-10) immission in Germany in the year 2000] Feinstaubimmission (PM-10) in Deutschland im Jahr 2000, Dessau

  • Völzke H, Neuhauser H, Moebus S, Baumert J, Berger K, Stang A, Ellert U, Werner A, Döring A (2006) Urban-rural disparities in smoking behaviour in Germany. BMC Public Health 6:146. doi:10.1186/1471-2458-6-146

    Article  Google Scholar 

  • Wilkinson L (1999) The grammar of graphics. Springer, New York

    Book  Google Scholar 

  • World Health Organization (2004) International statistical classification of diseases and related health problems, 10th edn. World Health Organization, Geneva

    Google Scholar 

  • World Medical Association (WMA) (2004) Declaration of Helsinki: ethical principles for medical research involving human subjects. World Medical Association, Ferney-Voltaire

    Google Scholar 

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Acknowledgements

The authors wish to express their gratitude towards all patients, doctors, dentists, regional cancer registries, and towards the confidentiality office of the Bavarian cancer registry for providing and processing the cancer notifications that were used as the basis for this study.

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Correspondence to M. Radespiel-Tröger.

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Radespiel-Tröger, M., Geiss, K., Twardella, D. et al. Cancer incidence in urban, rural, and densely populated districts close to core cities in Bavaria, Germany. Int Arch Occup Environ Health 91, 155–174 (2018). https://doi.org/10.1007/s00420-017-1266-3

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