期刊论文详细信息
BMC Public Health
Incidence variation of prostate and cervical cancer according to socioeconomic level in the Girona Health Region
Rafael Marcos-Gragera1  Bernat C Serdà Ferrer3  Judit Moreno-Crespi1  Marc Saez Zafra2  Gemma Renart Vicens2 
[1] Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona Biomedical Research Institute, Girona, Spain;Research Group on Statistics, Applied Economics and Health (GRECS), CIBER of Epidemiology and Public Health (CIBERESP), University of Girona, Campus de Montilivi, Girona 17071, Spain;Departament d’Infermeria. Universitat de Girona (UdG), Girona Biomedical Research Institute, Girona, Spain
关键词: Mutual standardization problem;    Deprivation index;    York and Mollie model;    Besag;    Cervical cancer;    Prostate cancer;    Incidence;   
Others  :  1126122
DOI  :  10.1186/1471-2458-14-1079
 received in 2014-02-03, accepted in 2014-08-05,  发布年份 2014
PDF
【 摘 要 】

Background

The main aim of this study, using a spatial-temporal model, is to analyse the link between a deprivation index and the incidence of prostate and cervical cancer in the Girona Health Region (GHR).

Methods

This is a population-based study which includes all the inhabitants in the GHR in the period 1993–2006. In order to assess prostate/cervical cancer risk, Besag, York and Mollie (BYM)’s spatial-temporal version of the model was used and four random effects were introduced: (non-spatial) unstructured variability, spatial dependency, temporal dependency and spatial-temporal interaction. As an explanatory variable, a deprivation index was introduced at the census tract level. Furthermore, the percentage of the population between 45–64 years of age and over-65 was also considered as explanatory variables.

Results

In the case of prostate cancer, all the variables which were introduced into the model showed a significant correlation with the relative risk, except for the second quintile of the deprivation index. Furthermore, as the index increased the correlation became negative and lower. Thus, the correlation between the relative risk and the two age bands proved to be lower, the higher the age was. In the case of cervical cancer, only the correlation between the over-65 age band and the relative risk was found to be statistically significant and positive.

Conclusions

In the case of prostate cancer, the results obtained in the GHR are in line with similar analyses. However, in the case of cervical cancer, no significant relationship between incidences in this location or economic status was found.

【 授权许可】

   
2014 Vicens et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150218070324977.pdf 227KB PDF download
【 参考文献 】
  • [1]Domínguez-Berjón MF, Borrel C: Mortality and socioeconomic deprivation in the census tracts and districts of Barcelona [in Spanish]. Gac Sanit 2005, 19:363-369.
  • [2]Whitehead M, Dahlgren G: Concepts and principles for tackling social inequities in health. Levelling up (part 1). In World Health Organization: Studies on social and economic determinants of population health, Volume 2. Denmark; 2006.
  • [3]Mackenbach JP, Stirbu I, Roskam AJ, Schaap MM, Menvielle G, Leinsalu M, Kunst AE: European Union Working Group on Socioeconomic Inequalities in Health. Socioeconomic inequalities in health in 22 European countries. N Eng J Med 2008, 358(23):2468-2481.
  • [4]Marmot M, Friel S, Bell R, Houweling TA, Taylor S: Commission on Social Determinants of Health. Closing the gap in a generation: health equity through action on the social determinants of health. Lancet 2008, 372(9650):1661-1669.
  • [5]Cano-Serral G, Azlor E, Rodríguez-Sanz M, Pasarín MI, Martínez JM, Puigpinós R, Muntaner C, Borrell C: Socioeconomic inequalities in mortality in Barcelona: A study based on census tracts (MEDEA Project). Health Place 2009, 15(1):186-192.
  • [6]Borrell C, Marí-Dell’olmo M, Serral G, Martínez-Beneito M, Gotsens M, MEDEA members: Inequalities in mortality in small areas of eleven Spanish cities. Health Place 2010, 16(4):703-711.
  • [7]Puigpinós R, Borrell C, Antunez JL, Azlor E, Pasarín MI, Serral G, Pons-Vigués M, Rodríguez-Sanz M, Fernández E: Trends in socioeconomic inequalities in cancer mortality in Barcelona: 1992–2003. BMC Public Health 2009, 9:35. BioMed Central Full Text
  • [8]Puigpinós-Riera R, Martí-Dell’Olmo M, Gotsens M, Borrell C, Serral G, Ascaso C, Calvo M, Daponte A, Domínguez-Berjón FM, Esnaola S, Gandarillas A, López-Abente G, Martos CM, Martínez-Beneito MA, Montes-Martínez A, Montoya I, Nolasco A, Pasarín IM, Rodríguez-Sanz M, Saez M, Sáncez-Villegas P: Cancer mortality inequalities in urban areas: a Bayesian small area analysis in Spanish cities. Int J Health Geogr 2011, 10:6. BioMed Central Full Text
  • [9]Ferlay J, Stetiarova-Foucher E, Lortat-Tieulant J, Rosso S, Coeberg JWW, Comber H, Forman D, Bray F: Cancer Incidence and mortality patterns in Europe: estimates for 40 countries in 2012. Eur J Cancer 2013, 49(6):1374-1403. doi:10.1016/j.ejca.2012.12.027
  • [10]CanGir 2007–9 Projeccions de la incidència 2013–2014. [Available at: http://www20.gencat.cat/docs/cancer/MERY/ESTADISTICA%202013/CanGir%202007-9_Projeccions%20de%20la%20incidencia%202013-14.pdf webcite]
  • [11]Larrañaga N, Galceran J, Ardanaz E, Franch P, Navarro C, Sánchez MJ, Pastor-Barriuso R, Prostate Cancer Working Group: Prostate cancer incidence trends in Spain before and during the prostate-specific antigen era: impact on mortality. Ann Oncol 2010, Suppl 3:iii83-iii89. doi:10.1093/annonc/mdq087
  • [12]AECC: Spanish Association Against Cancer [in Spanish]. [Available at: https://www.aecc.es/ webcite, last accessed on November 27, 2012]
  • [13]Kvale R, Auvinen A, Adami HO, Klint Å, Hernes E, Møller B, Pukkala E, Storm H, Tryggvadottir L, Tretli S, Wahlqvist R, Weiderpass E: Interpreting trends in prostate cancer incidence and mortality in the five Nordic countries. J Natl Cancer Inst 2007, 99:1881-1887.
  • [14]Etzioni R, Penson DF, Legler JM, di Tommaso D, Boer R, Gann PH, Feuer EJ: Overdiagnosis due to prostate-specific antigen screening: lessons from U.S. prostate cancer incidence trends. J Natl Cancer Inst 2002, 94:981-990.
  • [15]Merrill RM, Wiggins CL: Incidental detection of population-based prostate cancer incidence rates through transurethral resection of the prostate. Urol Oncol 2002, 7:213-219.
  • [16]Baade PD, Youlden DR, Krnjacki LJ: International epidemiology of prostate cancer: geographical distribution and secular trends. Mol Nutr Food Res 2009, 53:171-184.
  • [17]Collin SM, Martin RM, Metcalfe C, Gunnell D, Albertsen P, Neal D, Hamdy F, Stephens P, Lane JA, Moore R, Donovan J: Prostate-cancer mortality in the USA and UK in 1975–2004: an ecological study. Lancet Oncol 2008, 9:445-452.
  • [18]Pérez-Gómez B, Martínez C, Navarro C, Franch P, Galceran J, Marcos-Gragera R, Cervical Cancer Working Group: The moderate decrease in invasive cervical cancer incidence rates in Spain (1980–2004): limited success of opportunistic screening? Ann Oncol 2010, Supple 3:iii61-iii68. doi:10.1093/annonc/mdq093
  • [19]Ferlay J, Bray F, Pisan P, Parkin DM: GLOBOCAN 2002: Cancer incidence, mortality and prevalence worldwide. Lyon: IARC; 2004:147.
  • [20]Ferlay J, Parkin DM, Steliarova-Foucher E: Estimates of cancer incidence and mortality in Europe in 2008. Eur J Cancer 2010, 46:765-781.
  • [21]Besag J, York J, Mollie A: Bayesian image restoration, with two applications in spatial statistics. Ann Inst Stat Math 1991, 43:1-59.
  • [22]Mollie A: Bayesian mapping of disease. In Markov Chain Monte Carlo in Practice. Edited by Gilks WR, Richardson S, Spiegelhalter DJ. New York: Chapman & Hall; 1996:pp. 359-pp. 379.
  • [23]Barceló MA, Saez M, Cano-Serral G, Martínez-Beneito MA, Martínez JM, Borrell C, Ocaña-Riola R, Montoya I, Calvo M, López-Abente G, Rodríguez-Sanz M, Toro S, Alcalá JT, Saurina C, Sánchez-Villegas P, Figueiras A: Methods to smooth mortality indicators: application to analysis of inequalities in mortality in Spanish cities (the MEDEA Project) [in Spanish]. Gac Sanit 2008, 22(6):596-608.
  • [24]Unitat d’Epidemiologia i Registre de Càncer de Girona: Cancer in Girona 2007–2009. Projeccions de la incidencia fins el 2013–2014 [in Catalan]. Girona: UERCG-Pla Director d’Oncologia; 2009. [CanGir No 2, March 2009]
  • [25]Forman D, Bray F, Brewster DH, Gombe Mbalawa C, Kohler B, Piñeros M, Steliarova-Foucher E, Swaminathan R, Ferlay J (Eds): Cancer Incidence in Five Continents, Volume X Lyon: IARC; 2013. http://ci5.iarc.fr webcite last accessed on [date]. (The printed version of this volume: IARC Scientific Publication No. 164, will be available in 2014.)
  • [26]Salcedo N, Saez M, Bragulat B, Saurina C: Does the effect of gender modify the relationship between deprivation and mortality? BMC Public Health 2012, 12:574. BioMed Central Full Text
  • [27]Renart G, Saez M, Saurina C, Marcos-Gragera R, Ocaña-Riola R, Martos C, Barceló MA, Arribas F, Alcalá T: A common error in the ecological regression of cancer incidence on the deprivation index. Rev Panam Salud Publica 2013, 34(2):83-91.
  • [28]Rosenbaum P, Rubin D: Difficulties with regression analyses of age-adjusted rates. Biometrics 1984, 40:437-443.
  • [29]Grisotto L, Catelan D, Accetta G, Biggeri A: Material deprivation as marker of health needs. Statistica 2010, 70(3):343-352.
  • [30]Lindgren F, Rue H, Lindström J: An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach (with discussion). J Roy Stat Soc B 2011, 73(4):423-498. [Available at: http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9868.2011.00777.x/abstract webcite, last accessed on November 24, 2012]
  • [31]Stein ML: Statistical Interpolation of Spatial Data: Some Theory for Kriging. New York: Springer; 1999.
  • [32]The R-INLA project Available at: http://www.r-inla.org/ webcite, last accessed on November 24, 2012]
  • [33]Breslow NE: Extra-Poisson variation in log-linear models. Appl Stat 1984, 33:38-44.
  • [34]Broek J: A score test for zero inflation in a Poisson distribution. Biometrics 1995, 51:731-743.
  • [35]Rue H, Martino S, Chopin N: Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations (with discussion). J Roy Stat Soc B 2009, 71:319-392. [Available at: http://www.math.ntnu.no/~hrue/r-inla.org/papers/inla-rss.pdf webcite, last accessed on November 24, 2012]
  • [36]Hjelle O, Daehlen M: Triangulations and Applications. Berlin: Springer; 2006.
  • [37]R Development Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2012. [Available at: http://www.R-project.org webcite, last accessed on November 24, 2012]
  • [38]Spiegelhalter DJ, Best NG, Carlin BR, van der Linde A: Bayesian measures of model complexity and fit (with discussion). J Roy Stat Soc B 2002, 64:583-639.
  • [39]Plummer M: Penalized loss functions for Bayesian model comparison. Biostatistics 2008, 9(3):523-539.
  • [40]Riebler A, Held L, Rue H: Estimation and extrapolation of time trends in registry data - Borrowing strength from related populations. Ann Appl Stat 2012, 6(1):304-333.
  • [41]Pettit LI: The conditional predictive ordinate for the normal distribution. J Roy Stat Soc B 1990, 52:175-184.
  • [42]Geisser S: Predictive Inference: An Introduction. London: Chapman & Hall; 1993.
  • [43]Gneiting T, Raftery AE: Strictly proper scoring rules, prediction, and estimation. J Am Stat Assoc 2007, 102:359-378.
  • [44]Klassen AC, Curriero FC, Hong JH, Williams C, Kulldorff M, Meissner HI, Alberg A, Ensminger M: The role of area-level influences on prostate cancer grade and stage at diagnosis. Prev Med 2004, 39:441-448.
  • [45]Sanderson M, Coker AL, Perez A, Du XL, Peltz G, Fadden MK: A Multilevel Analysis of Socioeconomic status and prostate cancer risk. Ann Epidemiol 2006, 16(12):901-907.
  • [46]Li X, Sundquist K, Sundquist J: Neighborhood deprivation and prostate cancer motality: a multilevel analysis from Sweden. Prostate Cancer Prostatic Dis 2012, 15(2):128-134.
  • [47]Oliver MN, Smith E, Siadaty M, Hauck FR, Pickle LW: Spatial analysis of prostate cancer incidence and race in Virginia, 1990–1999. Am J Prev Med 2006, Suppl.2:S67-S76.
  • [48]Morgan RM, Steele RJ, Nabi G, McCowan C: Socioeconomic variation and prostate specific antigen testing in the community: a United Kingdom based population study. J Urol 2013, 190(4):1207-1212.
  • [49]Shack L, Jordan C, Thomson CS, Mak V, Møller H, for UK Association of Cancer Registries: Variation in incidence of breast, lung and cervical cancer and malignant melanoma of skin by socioeconomic group in England. BMC Cancer 2008, 8:271. BioMed Central Full Text
  • [50]Li X, Sundquist J, Calling S, Zöller B, Sundquist K: Neighborhood deprivation and risk of cervical cancer morbidity and mortality: A multilevel analysis from Sweden. Gynecol Oncol 2012, 127:283-289.
  文献评价指标  
  下载次数:4次 浏览次数:13次