Geographical differences in cancer incidence in the Belgian province of Limburg

Buntinx, Frank; Geys, Helena; Lousbergh, Daniël; Broeders, G.H.B.; Cloes, E; Dhollander, D; Beeck, Anne Op De; Brande, J Vanden; Waes, A Van; Molenberghs, Geert

doi:10.1016/s0959-8049(02)00734-7

Cited by 24 publications

(28 citation statements)

References 17 publications

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“…(GLOBOCAN IARC, 2010) Studies suggest that pork, barbecued meats, fat, butter, soy, eggs and excessive coffee consumption are associated with increased risk (Radosavljevic et al, 2005;Keszei et al, 2010;Silberstein and Parsons, 2010) and vegetables, fruits, and cereal are associated with decreased risk of bladder cancer. Bladder cancer incidence is correlated with SEP (Buntinx et al, 2003), while when adjusted for smoking the relative risk of bladder cancer has been decreased (Goy et al, 2008). This study, nevertheless showed that consuming meat, dairy products, and fruit and SEP were related to high incidence of bladder cancer while districts with higher intake of bread and fat were correlated with reduced bladder cancer.…”

Section: 1669 Correlation Of Cancer Incidence With Probable Risk Faccontrasting

confidence: 58%

Correlation of Cancer Incidence with Diet, Smoking and Socio-Economic Position Across 22 Districts of Tehran in 2008

Rohani-Rasaf

Abdollahi²,

Jazayeri³

et al. 2013

Asian Pacific Journal of Cancer Prevention

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Background: Variation in cancer incidence in geographical locations is due to different lifestyles and risk factors. Diet and socio-economic position (SEP) have been identified as important for the etiology of cancer but patterns are changing and inconsistent. The aim of this study was to investigate correlations of the incidence of common cancers with food groups, total energy, smoking, and SEP. Materials and Methods: In an ecological study, disaggregated cancer data through the National Cancer Registry in Iran (2008) and dietary intake, smoking habits and SEP obtained through a population based survey within the Urban Health Equity Assessment (Urban-HEART) project were correlated across 22 districts of Tehran. Results: Consumption of fruit, meat and dairy products adjusted for energy were positively correlated with bladder, colorectal, prostate and breast and total cancers in men and women, while these cancers were adversely correlated with bread and fat intake. Also prostate, breast, colorectal, bladder and ovarian cancers had a positive correlation with SEP; there was no correlation between SEP and skin cancer in both genders and stomach cancer in men. Conclusions: The incidence of cancer was higher in some regions of Tehran which appeared to be mainly determined by SEP rather than dietary intake. Further individual data are required to investigate reasons of cancer clustering.

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Section: 1669 Correlation Of Cancer Incidence With Probable Risk Faccontrasting

confidence: 58%

Correlation of Cancer Incidence with Diet, Smoking and Socio-Economic Position Across 22 Districts of Tehran in 2008

Rohani-Rasaf

Abdollahi²,

Jazayeri³

et al. 2013

Asian Pacific Journal of Cancer Prevention

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“…Individual data Cancer registries Aballay et al (2012), Absalon and Slesak (2011), Al-Ahmadi and Al-Zahrani (2013), Alvarez et al (2009), Bailony et al (2011), Bambhroliya et al (2012, Bristow et al (2014), Buntinx et al (2003), Cassetti et al (2008), Chen et al (2008b, 2011, Chien et al (2013a), Christian et al (2011), Colak et al (2015, Colonna (2004Colonna ( , 2006, Colonna et al (1990), Cramb et al (2011), Dai and Oyana (2008), David et al (2002), DeChello and Sheehan (2007), DeChello et al (2006), Drapeau et al (1995), Elebead et al (2012), Elferink et al (2012), Fairley et al (2008), Fedewa et al (2009), Ferreira et al (2012, Fortunato et al (2011), Gallagher et al (2010, Garcia Martinez et al (2014), Gbary et al (1995), Goodman et al (2010), Xiao (2011, 2012), Guajardo and Oyana (2009), Samociuk (2003, 2013) Godon et al (1991), Goovaerts (2005Goovaerts ( , 2006aGoovaerts ( , 2006b), Hendryx et al (2010), Hosseintabar Marzoni et al (2015, …”

Section: Data Type Source Articlementioning

confidence: 99%

Spatial epidemiology of cancer: a review of data sources, methods and risk factors

Roquette¹,

Paìnho²,

Nunes

2017

Geospat Health

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Cancer is a major concern among chronic diseases today. Spatial epidemiology plays a relevant role in this matter and we present here a review of this subject, including a discussion of the literature in terms of the level of geographic data aggregation, risk factors and methods used to analyse the spatial distribution of patterns and spatial clusters. For this purpose, we performed a websearch in the Pubmed and Web of Science databases including studies published between 1979 and 2015. We found 180 papers from 63 journals and noted that spatial epidemiology of cancer has been addressed with more emphasis during the last decade with research based on data mostly extracted from cancer registries and official mortality statistics. In general, the research questions present in the reviewed papers can be classified into three different sets: i) analysis of spatial distribution of cancer and/or its temporal evolution; ii) risk factors; iii) development of data analysis methods and/or evaluation of results obtained from application of existing methods. This review is expected to help promote research in this area through the identification of relevant knowledge gaps. Cancer's spatial epidemiology represents an important concern, mainly for public health policies design aimed to minimise the impact of chronic disease in specific populations. IntroductionGiven the relevance of spatial epidemiology in health research and the emphasis of cancer among chronic diseases, as well as the growing amount of studies in this area, it is important to know what the literature says about spatial epidemiology of cancer as well as provide its structured description. According to the World Health Organization (WHO), cancer is a leading cause of death in the world (WHO, 2015). It is also the cause of various morbidities and co-morbidities and can be responsible for loss of years of life years as well as loss of years without disability. Considering the aging population, it is predicted that the number of new cases of cancer will increase by more than 12% over the next decade in the European Union (EU) (DGS, 2013). The fight against cancer is a major challenge in public health. This challenge is due in part to the inequalities in terms of incidence, mortality, and survival. Therefore, a multidisciplinary approach is needed (Bastos et al., 2010). Among the various fields that can contribute to the development of knowledge about this disease, spatial epidemiology plays an important role. It can promote the understanding of spatial and temporal distribution patterns, helping to better identify the risk factors that influence them.Three types of approach can be established in spatial epidemiology: i) mapping; ii) geographic correlation; and iii) clustering (Elliott and Wartenberg, 2004). Mapping or map design regarding health and disease situations is the most often mentioned and used of these three approaches. Further, geographic correlation studies have the goal to spatially compare the health with several types of factors such as e...

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“…The estimate of this random effect variance could be used for calculation of the prediction intervals, but we preferred not to do it until having more incidence series. Finally, the Bayesian approach used by Buntinx et al, 2003 might be useful with prior information on the rates allowing for local geographical dependence are pertinent.…”

Section: Discussionmentioning

confidence: 99%

Cancer incidence pattern in Cordoba, Argentina

Díaz¹,

Osella

Aballay

et al. 2009

European Journal of Cancer Prevention

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Cancer is the second cause of death in Argentina; nevertheless the distribution of the cancer incidence rates throughout the country is unknown. This study was conducted to describe cancer incidence patterns in Córdoba Province. Incidence data were supplied by the Government Córdoba Cancer Registry. Demographic information (age, sex, and place of residence) and diagnosis, certified by a pathologist, about all incident cases from June 2003 to May 2005 by type and 5-year age groups were obtained. Comparison of the incidence rate of cancer in various counties was performed by using standardized incidence rates (SIR) per 100,000 inhabitants using the world standard population. Estimated SIRs were used to build up incidence maps. Two indicators were created: sex ratio and site-specific ratio. Mixed Poisson models were fitted. Taken as a whole for all counties, SIR was 121.42 and 141.57 for men and women, respectively. The most common sites in men were prostate (13.62), lung (10.12), colon (7.53), and bladder (7.03); in women were breast (22.51) and colon (3.31). The highest and lowest rates were in urban and rural areas, respectively. Cancer registry has a pivotal role in cancer control. Such information is the primary resource of information not only for epidemiological research on cancer determinants but also for planning and evaluating health services for the policies of prevention, diagnosis and treatment of the disease.

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Geographical differences in cancer incidence in the Belgian province of Limburg

Abstract: Geographical differences in cancer incidence in the Belgian province of Limburg.Background:

Cited by 24 publications

References 17 publications

Correlation of Cancer Incidence with Diet, Smoking and Socio-Economic Position Across 22 Districts of Tehran in 2008

Correlation of Cancer Incidence with Diet, Smoking and Socio-Economic Position Across 22 Districts of Tehran in 2008

Spatial epidemiology of cancer: a review of data sources, methods and risk factors

Cancer incidence pattern in Cordoba, Argentina

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