Degree of urbanization and mammographic density in Dutch breast cancer screening participants: results from the EPIC-NL cohort

Breast Cancer Research and Treatment

Volumn 148, Issue 3, 2014, Pages 655-663

  Emaus, Marleen J ^a   Bakker, Marije F ^a   Beelen, Rob M J ^b   Veldhuis, Wouter B ^a   Peeters, Petra H M ^a,c   van Gils, Carla H ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^b UTRECHT UNIVERSITY   (Netherlands)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Air pollution exposure; Breast cancer; Degree of urbanization; Epidemiology; Mammographic density

Indexed keywords

ADULT; AGED; AIR POLLUTANT; ARTICLE; BREAST CANCER; BREAST DENSITY; CANCER SCREENING; COHORT ANALYSIS; CONTROLLED STUDY; DEGREE OF URBANIZATION; DISEASE ASSOCIATION; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL FACTOR; FEMALE; HUMAN; LAND USE; LIFESTYLE; MAJOR CLINICAL STUDY; MIDDLE AGED; OUTCOME ASSESSMENT; POPULATION AND POPULATION RELATED PHENOMENA; QUANTITATIVE ANALYSIS; REPRODUCTION; RISK ASSESSMENT; RISK FACTOR; SOCIAL ASPECT; URBANIZATION; ADVERSE EFFECTS; BREAST NEOPLASMS; CONGENITAL MALFORMATION; EARLY DIAGNOSIS; GENETICS; MAGNETIC RESONANCE ANGIOGRAPHY; MAMMARY GLAND; RADIOGRAPHY;

AIR POLLUTANT;

AIR POLLUTANTS; BREAST NEOPLASMS; EARLY DETECTION OF CANCER; FEMALE; HUMANS; MAGNETIC RESONANCE ANGIOGRAPHY; MAMMARY GLANDS, HUMAN; MIDDLE AGED; RISK FACTORS; URBANIZATION;

EID: 84912034855     PISSN: 01676806     EISSN: 15737217     Source Type: Journal    
DOI: 10.1007/s10549-014-3205-2     Document Type: Article

References (41)

1. Perry NM, Allgood PC, Milner SE, Mokbel K, Duffy SW (2008) Mammographic breast density by area of residence: possible evidence of higher density in urban areas. Curr Med Res Opin 24(2):365–368
2. Viel JF, Rymzhanova R (2012) Mammographic density and urbanization: a population-based screening study. J Med Screen 19(1):20–25
3. McCormack VA, dos Santos Silva I (2006) Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol Biomarkers Prev 15(6):1159–1169
4. Clemons M, Goss P (2001) Estrogen and the risk of breast cancer. N Engl J Med 344(4):276–285
5. El-Bastawissi AY, White E, Mandelson MT, Taplin SH (2000) Reproductive and hormonal factors associated with mammographic breast density by age (United States). Cancer Causes Control 11(10):955–963
6. Stone J, Warren RM, Pinney E, Warwick J, Cuzick J (2009) Determinants of percentage and area measures of mammographic density. Am J Epidemiol 170(12):1571–1578
7. Vachon CM, Kuni CC, Anderson K, Anderson VE, Sellers TA (2000) Association of mammographically defined percent breast density with epidemiologic risk factors for breast cancer (United States). Cancer Causes Control 11(7):653–662
8. Butler LM, Gold EB, Greendale GA, Crandall CJ, Modugno F, Oestreicher N, Quesenberry CP Jr, Habel LA (2008) Menstrual and reproductive factors in relation to mammographic density: the Study of Women’s Health Across the Nation (SWAN). Breast Cancer Res Treat 112(1):165–174
9. Brand JS, Czene K, Eriksson L, Trinh T, Bhoo-Pathy N, Hall P, Celebioglu F (2013) Influence of lifestyle factors on mammographic density in postmenopausal women. PLoS One 8(12):e81876
10. Clemons JH, Allan LM, Marvin CH, Wu Z, McCarry BE, Bryant DW, Zacharewski TR (1998) Evidence of estrogen- and TCDD-Like activities in crude and fractionated extracts of PM10 air particulate material using in vitro gene expression assays. Environ Sci Technol 32:1853–1860
11. Beulens JW, Monninkhof EM, Verschuren WM, van der Schouw YT, Smit J, Ocke MC, Jansen EH, van Dieren S, Grobbee DE, Peeters PH, Bueno-de-Mesquita HB (2010) Cohort profile: the EPIC-NL study. Int J Epidemiol 39(5):1170–1178
12. Riboli E, Kaaks R (1997) The EPIC project: rationale and study design. European prospective investigation into cancer and nutrition. Int J Epidemiol 26(Suppl 1):S6–S14
13. Riboli E, Hunt KJ, Slimani N, Ferrari P, Norat T, Fahey M, Charrondiere UR, Hemon B, Casagrande C, Vignat J, Overvad K, Tjonneland A, Clavel-Chapelon F, Thiebaut A, Wahrendorf J, Boeing H, Trichopoulos D, Trichopoulou A, Vineis P, Palli D, Bueno-de-Mesquita HB, Peeters PH, Lund E, Engeset D, Gonzalez CA, Barricarte A, Berglund G, Hallmans G, Day NE, Key TJ, Kaaks R, Saracci R (2002) European prospective investigation into cancer and nutrition (EPIC): study populations and data collection. Pub Health Nutr 5(6B):1113–1124
14. Boker LK, van Noord PA, van der Schouw YT, Koot NV, Bueno-de-Mesquita HB, Riboli E, Grobbee DE, Peeters PH (2001) Prospect-EPIC Utrecht: study design and characteristics of the cohort population. European prospective investigation into cancer and nutrition. Eur J Epidemiol 17(11):1047–1053
15. Lokate M, Stellato RK, Veldhuis WB, Peeters PH, van Gils CH (2013) Age-related changes in mammographic density and breast cancer risk. Am J Epidemiol 178(1):101–109
16. Verheus M, Peeters PH, van Noord PA, van der Schouw YT, Grobbee DE, van Gils CH (2007) No relationship between circulating levels of sex steroids and mammographic breast density: the prospect-EPIC cohort. Breast Cancer Res 9(4):R53
17. Statistics Netherlands. http://www.cbs.nl/en-GB/menu/home/default.htm. Accessed 1 August 2014
18. Statistics Netherlands. http://www.cbs.nl/nl-NL/menu/methoden/begrippen/default.htm?ConceptID=658. Accessed 1 Aug 2014
19. Eeftens M, Beelen R, de Hoogh K, Bellander T, Cesaroni G, Cirach M, Declercq C, Dedele A, Dons E, de Nazelle A, Dimakopoulou K, Eriksen K, Falq G, Fischer P, Galassi C, Grazuleviciene R, Heinrich J, Hoffmann B, Jerrett M, Keidel D, Korek M, Lanki T, Lindley S, Madsen C, Molter A, Nador G, Nieuwenhuijsen M, Nonnemacher M, Pedeli X, Raaschou-Nielsen O, Patelarou E, Quass U, Ranzi A, Schindler C, Stempfelet M, Stephanou E, Sugiri D, Tsai MY, Yli-Tuomi T, Varro MJ, Vienneau D, Klot S, Wolf K, Brunekreef B, Hoek G (2012) Development of Land Use Regression models for PM(2.5), PM(2.5) absorbance, PM(10) and PM(coarse) in 20 European study areas; results of the ESCAPE project. Environ Sci Technol 46(20):11195–111205
20. x land use regression models for estimating air pollution exposure in 36 study areas in Europe: the ESCAPE project. Atmos Environ 72:10–23
21. 2: results of the ESCAPE project. Atmos Environ 62:303–317
22. x concentrations between and within 36 European study areas: results from the ESCAPE study. Atmos Environ 62:374–390
23. Lokate M, van Duijnhoven FJ, van den Berg SW, Peeters PH, van Gils CH (2013) Early life factors and adult mammographic density. Cancer Causes Control 24(10):1771–1778
24. American College of Radiology (ACR) (2013) American College of Radiology (ACR) Breast Imaging Reporting and Data System Atlas (BIRADS atlas), 5th edn. American College of Radiology, Reston
25. Kerlikowske K (2007) The mammogram that cried Wolfe. N Engl J Med 356(3):297–300
26. Zar JH (1999) The square root transfomation. In: Biostatistical analysis. 4th edn. Prentice-Hall, Upper Saddle River, pp 275–278
27. Boyd NF, Rommens JM, Vogt K, Lee V, Hopper JL, Yaffe MJ, Paterson AP (2005) Mammographic breast density as an intermediate phenotype for breast cancer. Lancet Oncol 6(10):798–808
28. Aitken Z, Walker K, Stegeman BH, Wark PA, Moss SM, McCormack VA, dos Santos Silva I (2010) Mammographic density and markers of socioeconomic status: a cross-sectional study. BMC Cancer 10:35
29. Beelen RMJ, Hoek G, Fischer P, van den Brandt PA, Brunekreef B (2007) Estimated longterm outdoor air pollution concentrations in a cohort study. Atmos Environ 41(7):1343–1358
30. Cesaroni G, Porta D, Badaloni C, Stafoggia M, Eeftens M, Meliefste K, Forastiere F (2012) Nitrogen dioxide levels estimated from land use regression models several years apart and association with mortality in a large cohort study. Environ Health 11:48
31. Gulliver J, Morris C, Lee K, Vienneau D, Briggs D, Hansell A (2011) Land use regression modeling to estimate historic (1962–1991) concentrations of black smoke and sulfur dioxide for Great Britain. Environ Sci Technol 45(8):3526–3532
32. Eeftens M, Beelen R, Fischer P, Brunekreef B, Meliefste K, Hoek G (2011) Stability of measured and modelled spatial contrasts in NO(2) over time. Occup Environ Med 68(10):765–770
33. 2 and PM10 concentrations in the Netherlands and its relation with EU limit values. Atmos Environ 43:3858–3866
34. Davis DL, Bradlow HL, Wolff M, Woodruff T, Hoel DG, Anton-Culver H (1993) Medical hypothesis: xenoestrogens as preventable causes of breast cancer. Environ Health Perspect 101(5):372–377
35. Zhang H, Chai Z, Sun H (2007) Human hair as a potential biomonitor for assessing persistent organic pollutants. Environ Int 33(5):685–693
36. Plesnicar A, Druzina B, Kovac V, Kralj B (2002) Environment and breast cancer: the role of xenooestrogens in breast cancer carcinogenesis. Radiol Oncol 36(1):63–72
37. Safe SH (1997) Xenoestrogens and breast cancer. N Engl J Med 337(18):1303–1304
38. Boyd NF, Lockwood GA, Byng JW, Tritchler DL, Yaffe MJ (1998) Mammographic densities and breast cancer risk. Cancer Epidemiol Biomarkers Prev 7(12):1133–1144
39. Hall SA, Kaufman JS, Millikan RC, Ricketts TC, Herman D, Savitz DA (2005) Urbanization and breast cancer incidence in North Carolina, 1995–1999. Ann Epidemiol 15(10):796–803
40. Kelsey JL, Horn-Ross PL (1993) Breast cancer: magnitude of the problem and descriptive epidemiology. Epidemiol Rev 15(1):7–16
41. Boyd NF, Guo H, Martin LJ, Sun L, Stone J, Fishell E, Jong RA, Hislop G, Chiarelli A, Minkin S, Yaffe MJ (2007) Mammographic density and the risk and detection of breast cancer. N Engl J Med 356(3):227–236