Volume 10 Supplement 1
The socioeconomic determinants of cancer
© Merletti et al; licensee BioMed Central Ltd. 2011
Published: 5 April 2011
This paper provides a synthesis on socioeconomic inequalities in cancer incidence, mortality and survival across countries and within countries, with particular focus on the Italian context; the paper also describes the underlying mechanisms documented for cancer incidence, and reports some remarks on policies to tackle inequalities.
From a worldwide perspective, the burden of cancer appears to be particularly increasing in developing countries, where many cancers with a poor prognosis (liver, stomach and oesophagus) are much more common than in richer countries. As in the case of incidence and mortality, also in cancer survival we observe a great variability across countries. Different studies have suggested a possible impact of health care on the social gradients in cancer survival, even in countries with a National Health System providing equitable access to care.
In developed countries, there is increasing awareness of social inequalities as an important public health issue; as a consequence, there is a variety of strategies and policies being implemented throughout Europe. However, recent reviews emphasize that present knowledge on effectiveness of policies and interventions on health inequalities is not sufficient to offer a robust and evidence-based guide to the choice and design of interventions, and that more evaluation studies are needed.
The large disparities in health that we can measure within and between countries represent a challenge to the world; social health inequalities are avoidable, and their reduction therefore represents an achievable goal and an ethical imperative.
“ When one reviews the literature, it is rather depressing to encounter the same observations, the same results, and the same conclusions and recommendations repeated over the years. Although there is not much to be found that is new, poverty continues to be rediscovered.” (Tomatis, 1992)
Even in developed countries, social factors account for a significant part of the total burden of disease in the population . In the definition given by Krieger, “social inequalities… in health refer to health disparities, within and between countries, that are judged to be unfair, unjust, avoidable, and unnecessary… and that systematically burden populations rendered vulnerable by underlying social structures and political, economic, and legal institutions” .
In this paper we will briefly summarize the contents of the presentation on socio-economic determinants of cancer, given at the 1st Lorenzo Tomatis Conference on Environment and Cancer held in Turin (Italy) on June 4-5, 2009. The issue of socio inequalities in cancer was frequently faced by Lorenzo Tomatis [3, 4], and by IARC researchers [5, 6].
Inequalities in cancer mortality and incidence
Of the estimated 12.7 million new cancer cases and 7.6 million cancer deaths in 2008, 56% of the former and 63% of the latter occur in the less developed countries. Among women cervical cancer is the third most common cancer overall, accounting for 13% of all female cancers; however, 85% of these new cases occur in developing countries .
A substantial volume of literature has been published after the first IARC comprehensive publication on social inequalities and cancer , showing that large social inequalities in cancer incidence and mortality do exist also within Western countries. The monograph reported significantly higher risks among socially disadvantaged people for cancers of the lung, stomach, upper aero-digestive tract (UADT), and cervical cancer; the relationship with social status appeared direct for colon cancer, bone neoplasm, melanoma, and malignant breast and ovarian cancer, while for all other cancers studied, the available evidence was inconsistent .
Analysing the relative impact of each cause of death on the excess of mortality observed among the less educated groups of population, a more recent comparative European study found that the relative contribution of cancer mortality was about 24% on the whole, ranging from less than 20% in Nordic countries to more than 30% in Mediterranean countries . Other overviews also highlighted different patterns of inequalities in cancer mortality across European countries: hence, lung cancer showed the highest relative index of inequalities among Eastern and Continental European countries , while alcohol related and stomach cancers accounted for most of the social inequalities in cancer mortality among Southern European men [11, 12].
The opportunity of explaining the origin of social inequalities in cancer and understanding the individual role of the different socioeconomic determinants that are involved in this process could lead to specific actions to tackle social inequalities and reduce their impact on health. In this respect, many studies have tried to disentangle the relative contribution of social circumstances across different stages of life: adult socioeconomic position, for example, suggests behavioural risk factors, such as smoking or alcohol consumption; while childhood social indicators hint at long-lasting exposures, such as higher probability of viral infections. Also, different socioeconomic indicators may indicate different mechanisms for social inequalities: occupation is related both to occupational exposures and material living standards, while education captures a person’s skills in preventing health damages and/or facing illness through more appropriate pathways of care .
Evidence from studies conducted in the last decade suggests that lung cancer risk is primarily associated either with adult socioeconomic position [14–16], or with measures of disadvantage during the whole life course [17–20]. This is generally attributed to inequalities in smoking and in occupational exposures: two studies found in fact that adjustment for smoking decreased educational differences in lung cancer incidence by 50 to 65% , while occupational exposures accounted for a residual 14% of inequalities after adjustment for smoking and diet . The cultural (education) and material dimensions (occupation, housing, deprivation index) of disadvantage are influential, respectively, in the uptake and persistence of smoking . Following the smoking epidemic model, strong age, gender and geographical differences in the social distribution of smoking have been observed . Data indicate that an increase in smoking habit is still occurring among lower educated women in southern Europe, which, if not prevented, might result in even larger inequalities in smoking related cancers in the future.
Contrary to lung cancer, stomach cancer has been always associated with social circumstances during infancy and adolescence [14, 17–20], consistently with the viral origin of this cancer. As for the other sites, most of them appear to be correlated with adulthood social characteristics [18, 20], except for breast, cervical, and colorectal cancer that are also associated with early social circumstances [16, 17, 19].
Most of these studies, however, used cancer mortality as the outcome, although mortality also depends on access to health care for timely diagnosis and appropriate treatment, a confounding factor in the association between cancer and socioeconomic position.
In Italy, data from the linkage between the Turin Longitudinal Study and the Piedmont Cancer Registry offer the opportunity of giving more insight into the relationship between cancer incidence and socioeconomic position. A first study  estimated that 17% of incident cases among men in the lowest educational group were attributable to education, while the least educated women showed an 11% protection. Low education was associated with higher risks of UADT, stomach, lung, liver, rectal, bladder, central nervous system and ill-defined cancers in men, and with stomach, liver and cervical cancers in women. Vice-versa, less educated men had lower risks of melanoma, kidney and prostate cancers, and less educated women were less likely to be diagnosed with melanoma, ovarian and breast cancers. The only significant temporal changes in the educational gradients were observed among men, with an increase in rectal and bladder cancers and a decrease in kidney cancer risk for the most disadvantaged groups; also, men in the lowest group lost their initial protection for colon cancer.
Cancer incidence according to different socioeconomic indicators and selected cancer sites. Relative Index of Inequality (RII) with their 95% CI, estimated from the fully adjusted modela. Turin, 1985-99.
RII (95% C.I.)
RII (95% C.I.)
RII (95% C.I.)
RII (95% C.I.)
An inverse association between cancer incidence and social deprivation has been observed for some cancer sites, including malignant melanoma, female breast cancer and prostate cancer [8, 30]. Reproductive risk factors (such as later age at first pregnancy, lower parity, lower rates of breastfeeding, and a higher use of hormone replacement therapy) and a higher use of screening programmes are the most plausible explanations for the higher incidence of breast cancer among the less deprived socioeconomic groups [31, 32]. Intermittent exposure to UV rays (e.g. during holidays)  and earlier diagnosis  are probably related to the higher incidence of melanoma among more advantaged people, while the higher incidence of prostate cancer among the less deprived is likely due to their larger use of opportunistic screening with PSA .
Shack et al, using data from all the English cancer registries in the period 1998-2003, estimated that if all socioeconomic groups had incidence rates similar to the least deprived group the number of cases would decrease by about 37% for lung cancer and 28% for cervical cancer, while it would increase by 7% for breast cancer and by about 28% for melanoma . It should be noted, however, that recent trends in some reproductive behaviours, suggest a future reversal of breast cancer risk to the disadvantage of less educated women in various countries [37–39].
Inequalities in cancer survival
As in the case of incidence and mortality, also in cancer survival we observe a great variability across countries: for example, the 5-year relative survival for breast cancer goes from above 80% in Cuba and USA to 40% in Algeria . Not negligible differences have been reported also within Europe, particularly for elderly people and for specific cancer sites .
In the cited IARC Scientific Publication on Social Inequalities and Cancer, data had shown poorer survival for more disadvantaged groups of patients . Relative risks ranged between 1.0 and 1.5, being largest for cancers with better prognosis, such as breast, body of uterus, bladder and colon. A more recent review, including studies conducted from 1995 to 2004, substantially confirmed the same scenario .
Given the high consistency of results across different populations, cancer sites, time periods, and socioeconomic indicators, artifactual explanations that have been suggested in the past, such as possible confounding or lead-time bias , appear now less likely or at most less influential. More likely explanations can be classified into three broad groups of factors: cancer stage at diagnosis, characteristics of the patients, and features related to the health care process. They have been extensively discussed in the cited review , and we will limit our discussion here to the most prominent conclusions.
Early stage at diagnosis is by far the most studied factor: it is the most important prognostic factor for survival, particularly for cancers with better prognosis, and it has been widely recognised as differently distributed across socioeconomic classes. Generally, the observed differences have been attributed to greater delay in seeking care among patients of lower socioeconomic status, compared with better-off patients, which are usually more health conscious. Among others, also Turin data showed that diagnostic delay and more advanced stages are more common in less educated people for colorectal cancer [45, 46]. However, not always differences in stage at diagnosis were sufficient to fully explain the observed social gradients in survival and other factors (such as those discussed below) deserve to be more thoroughly analysed.
The second set of explanations – patient’s characteristics – relies on the hypothesis that socially disadvantaged patients could be more susceptible to the aggressiveness of cancer, or less responsive to treatment. A few studies have explored this hypothesis, however, and it’s impossible to quantify the impact of these factors on the social differentials in survival. The higher comorbidity associated with low social status could also contribute in reducing cancer survival; results concerning the association between low social support and lower survival for different chronic conditions, including cancer, are quite more consistent [47, 48].
Finally, many studies have highlighted the role of health care in modifying the probability of cancer survival. Even in developed countries, with a National Health System providing equitable access to care for all patients, there is increasing evidence that part of the social gradients in survival could be explained by different treatments offered to patients in different socioeconomic groups. In England, for example, women with breast cancer living in deprived areas were less likely to undergo surgery and to receive breast-conserving surgery, and they had significantly lower 5-year survival than women in more affluent areas, also after controlling for stage at diagnosis . A similar study in Italy did not find a significant effect on the type of surgery of the educational level of patients, but it highlighted a strong association with other non clinical factors, such as hospital volume of breast surgery, distance of woman’s residence from the nearest radiotherapy facility and marital status . Both educational level and marital status were also strong predictors of the treatment received by lung cancer patients in Turin , as well as area deprivation was associated with poorer treatment and lower survival in London .
Disparities after cancer
Social inequalities can be generated, or increased, among people who survive after a diagnosis of cancer. The experience of cancer and its treatment, especially during childhood and adolescence, may have long term consequences that can be potentially disrupting for the educational attainment and social functioning of subjects , and this, in turn, may increase the risk of health disparities. In a study based on a mailed survey completed by parents , survivors of childhood cancer were more likely to require special education programs, to attend learning-disability services, to repeat a grade, and to have educational or other school problems when compared to healthy controls. Furthermore, more survivors than controls had no close friends and did not use friends as confident. Indeed, several studies have reported a negative impact of childhood cancer on the marital status or on sexual relationship [53, 55]. In a systematic review and meta-analysis , the risk of being unemployed among adult survivors of childhood cancer was almost doubled compared to healthy controls, and higher risks were found among survivors of central nervous system and brain tumours. Furthermore, the risk of unemployment was higher among survivors of childhood cancer in the United States than in comparable populations in Europe; the possible explanation for this finding can be the differences in social security and health care systems between Europe and US. Similar results have been recently found in a meta-analysis among subjects survived to a cancer diagnosed during working life: cancer survivors were found to have a 40% increased risk of being unemployed compared to healthy controls .
The prevalence of cancer survivors is expected to increase in most countries due to several factors, mainly the increasing early diagnosis, the continued improvement in cancer therapies, and the ageing of the population [58, 59]; this supports the need to develop and evaluate interventions aimed at improving educational and social outcomes of cancer survivors.
Can we reduce health disparities?
Social, economical and political factors have been clearly identified at the root of much of inequalities in health. Both distal and proximal causes of inequalities are involved, pointing to both upstream and downstream policies, from national economic strategies to local health prevention programmes [1, 60]. Interventions and policies to be taken in order to advance health equity have been recently recommended by the Commission on Social Determinants of Health set up by the World Health Organization (WHO 2008). Three principal actions have been identified by the Commission: 1) improve the conditions of daily life; 2) tackle the inequitable distribution of power, money and resources; 3) measure and understand the problem and assess the results of actions. These actions are obviously of concern to all policy makers, not merely those involved in health policies.
In developing countries, the absolute number of cancer cases is expected to increase in the next decades . Apart from aging of the population, other relevant factors are related both to the adaptation of developing countries to a western lifestyle, with a likely new epidemic of risk factors (such as smoking and unhealthy dietary habits) among the more disadvantaged, and to an increased exposure to occupational and environmental risks. At this regard, for example, asbestos-related diseases are expected to increase in developing countries, since these have been targeted by the asbestos industry after the ban (or serious restriction) of the use of asbestos in most developed countries . From this point of view, the Rotterdam Convention could represent a relevant tool to protect countries where regulations on the use of hazardous chemicals are weak .
In developed countries, there is increasing awareness of social inequalities as an important public health issue; as a consequence, there is a variety of strategies and policies being implemented throughout Europe . Some recent reviews on the effectiveness of policies include also interventions not directly aimed at reducing inequalities, but likely to impact positively on equity [64, 65]. These reports, however, emphasize that present knowledge on effectiveness of policies and interventions on health inequalities is not sufficient to offer a robust and evidence-based guide to the choice and design of interventions, and that more evaluation studies are needed.
Among cancer-related policies, for example, the existence of disparities in the use of cancer screening procedures has been demonstrated since long, also in countries in which a universal insurance coverage was present [66–68]. However, a recent review has shown that socio-economic position inequalities in screening are lower in countries with nationwide population-based screening programmes, especially when compared to countries in which only opportunistic screening was present . The available evidence supports the capability of some strategies (in particular: offering free tests, eliminating geographical barriers, a greater involvement of primary care physicians and individually tailored communication) in enhancing access to screening among lower socioeconomic groups . This supports the fact that preventive measures and interventions may need innovative and bespoke approaches to reach in a more effective way the most vulnerable subgroups and the most deprived strata of the population [65, 71]. As another example, policies supporting family building (e.g. paid parental leave, childcare services) might positively affect parity, maternal age and breastfeeding rates , thus contributing to prevent breast cancer incidence among lower socioeconomic groups.
Finally, it should be remembered that immigration from developing countries will increase the issue of inequalities in the rich countries; in fact, migrants often share common disadvantages, such as poverty, social isolation and psychosocial risk factors, as well as difficulties of access to health prevention and healthcare services. Future research on reducing cancer inequalities should therefore also take into account health needs of migrating populations.
In conclusion, the large disparities in health that we can measure within and between countries represent a challenge to the world; social health inequalities are avoidable, and their reduction therefore represents an achievable goal and an ethical imperative .
This article has been published as part of Environmental Health Volume 10 Supplement 1, 2011: Proceedings of the First Lorenzo Tomatis Conference on Environment and Cancer. The full contents of the supplement are available online at http://www.ehjournal.net/supplements/10/S1.
- Dahlgren G, Whitehead M: European strategies for tackling social inequities in health: Levelling up Part 2. 2006, WHO CopenhagenGoogle Scholar
- Krieger N: A glossary for social epidemiology. J Epidemiol Community Health. 2001, 55: 693-700. 10.1136/jech.55.10.693.View ArticleGoogle Scholar
- Tomatis L: Poverty and cancer. Cancer Epidemiol Biomarkers Prev. 1992, 1: 167-175.Google Scholar
- Tomatis L: Inequalities in cancer risks. Semin Oncol. 2001, 28: 207-209. 10.1016/S0093-7754(01)90093-4.View ArticleGoogle Scholar
- Occupational cancer in developing countries. Edited by: Pearce N, Matos E, Vainio H, Boffetta P, Kogevinas M. 1994, Lyon: IARC, IARC Scientific Publications, 129-
- Social inequalities and cancer. Edited by: Kogevinas M, Pearce N, Susser M, Boffetta P. 1997, Lyon: IARC, IARC Scientific Publications, 138-
- Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM: Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010, [Epub ahead of print], doi: 10.1002/ijc.25516Google Scholar
- Faggiano F, Partanen T, Kogevinas M, Boffetta P: Socioeconomic differences in cancer incidence and mortality. Social inequalities and cancer. Edited by: Kogevinas M, Pearce N, Susser M, Boffetta P. 1997, Lyon: IARC, IARC Scientific Publications, 138: 65-176.Google Scholar
- Huisman M, Kunst AE, Bopp M, Borgan JK, Borrell C, Costa G, Deboosere P, Gadeyne S, Glickman M, Marinacci C, Minder C, Regidor E, Valkonen T, Mackenbach JP: Educational inequalities in cause-specific mortality in middle-aged and older men and women in eight western European populations. Lancet. 2005, 365: 493-500.View ArticleGoogle Scholar
- Van der Heyden JHA, Schaap MM, Kunst AE, Esnaola S, Borrell C, Cox B, Leinsalu M, Stirbu I, Kalediene R, Deboosere P, Mackenbach JP, Van Oyen H: Socioeconomic inequalities in lung cancer mortality in 16 European populations. Lung Cancer. 2009, 63: 322-330. 10.1016/j.lungcan.2008.06.006.View ArticleGoogle Scholar
- Menvielle G, Kunst AE, Stirbu I, Borrell C, Bopp M, Regidor E, Strand BH, Deboosere P, Lundberg O, Leclerc A, Costa G, Chastang JF, Esnaola S, Martikainen P, Mackenbach JP: Socioeconomic inequalities in alcohol related cancer mortality among men: to what extent do they differ between Western European populations?. Int J Cancer. 2007, 121: 649-655. 10.1002/ijc.22721.View ArticleGoogle Scholar
- Menvielle G, Kunst AE, Stirbu I, Strand BH, Borrell C, Regidor E, Leclerc A, Esnaola S, Bopp M, Lundberg O, Artnik B, Costa G, Deboosere P, Martikainen P, Mackenbach JP: Educational differences in cancer mortality among women and men: a gender pattern that differs across Europe. Brit J Cancer. 2008, 98: 1012-1019. 10.1038/sj.bjc.6604274.View ArticleGoogle Scholar
- Galobardes B, Shaw M, Lawlor DA, Lynch JW, Davey Smith G: Indicators of socioeconomic position (part 1). J Epidemiol Commun Health. 2006, 60: 7-12. 10.1136/jech.2004.023531.View ArticleGoogle Scholar
- Power C, Hyppönen E, Davey Smith G: Socioeconomic position in childhood and early adult life and risk of mortality: a prospective study of the mothers of the 1958 British birth cohort. Am J Public Health. 2005, 95: 1396-1402. 10.2105/AJPH.2004.047340.View ArticleGoogle Scholar
- Strand BH, Kunst A: Childhood socioeconomic position and cause-specific mortality in early adulthood. Am J Epidemiol. 2007, 165: 85-93. 10.1093/aje/kwj352.View ArticleGoogle Scholar
- De Kok IM, van Lenthe FJ, Avendano M, Louwman M, Coebergh JW, Mackenbach JP: Childhood social class and cancer incidence: results of the globe study. Soc Sci Med. 2008, 66: 1131-1139. 10.1016/j.socscimed.2007.11.035.View ArticleGoogle Scholar
- Regidor E, Dominguez V, Calle ME, Navarro P: Socioeconomic circumstances and premature mortality from chronic diseases. Med Clin (Barc). 2003, 120: 201-206. 10.1157/13043333. [Spanish]View ArticleGoogle Scholar
- Galobardes B, Lynch JW, Davey Smith G: Childhood socioeconomic circumstances and cause-specific mortality in adulthood: systematic review and interpretation. Epidemiol Rev. 2004, 26: 7-21. 10.1093/epirev/mxh008.View ArticleGoogle Scholar
- Næss Ø, Claussen B, Thelle DS, Davey Smith G: Four indicators of socioeconomic position: relative ranking across causes of death. Scand J Public Health. 2005, 33: 215-221. 10.1080/14034940410019190.View ArticleGoogle Scholar
- Lawlor DA, Sterne JAC, Tynelius P, Davey Smith G, Rasmussen F: Association of childhood socioeconomic position with cause-specific mortality in a prospective record linkage study of 1,839,384 individuals. Am J Epidemiol. 2006, 164: 907-915. 10.1093/aje/kwj319.View ArticleGoogle Scholar
- Menvielle G, Boshuizen H, Kunst AE, Dalton SO, Vineis P, Bergmann MM, Hermann S, Ferrari P, Raaschou-Nielsen O, Tjønneland A, Kaaks R, Linseisen J, Kosti M, Trichopoulou A, Dilis V, Palli D, Krogh V, Panico S, Tumino R, Büchner FL, van Gils CH, Peeters PH, Braaten T, Gram IT, Lund E, Rodriguez L, Agudo A, Sánchez MJ, Tormo MJ, Ardanaz E, Manjer J, Wirfält E, Hallmans G, Rasmuson T, Bingham S, Khaw KT, Allen N, Key T, Boffetta P, Duell EJ, Slimani N, Gallo V, Riboli E, Bueno-de-Mesquita HB: The role of smoking and diet in explaining educational inequalities in lung cancer incidence. J Natl Cancer Inst. 2009, 101: 321-330. 10.1093/jnci/djn513.View ArticleGoogle Scholar
- Menvielle G, Boshuizen H, Kunst AE, Vineis P, Dalton SO, Bergmann MM, Hermann S, Veglia F, Ferrari P, Overvad K, Raaschou-Nielsen O, Tjønneland A, Kaaks R, Linseisen J, Palli D, Krogh V, Tumino R, Rodriguez L, Agudo A, Sánchez MJ, Arozena JM, Cirera L, Ardanaz E, Bingham S, Khaw KT, Boffetta P, Duell E, Slimani N, Gallo V, Riboli E, Bueno-de-Mesquita HB: Occupational exposures contribute to educational inequalities in lung cancer incidence among men: evidence from the EPIC prospective cohort study. Int J Cancer. 2010, 126: 1928-1935.Google Scholar
- Galea S, Nandi A, Vlahov D: The social epidemiology of substance use. Epidemiol Rev. 2004, 26: 36-52. 10.1093/epirev/mxh007.View ArticleGoogle Scholar
- Huisman M, Kunst AE, Mackenbach JP: Educational inequalities in smoking among men and women aged 16 years and older in 11 European countries. Tob Control. 2005, 14: 106-113. 10.1136/tc.2004.008573.View ArticleGoogle Scholar
- Spadea T, d’Errico A, Demaria M, Faggiano F, Pasian S, Zanetti R, Rosso S, Vicari P, Costa G: Educational inequalities in cancer incidence in Turin, Italy. Eur J Cancer Prev. 2009, 18: 169-178. 10.1097/CEJ.0b013e3283265bc9.View ArticleGoogle Scholar
- Spadea T, Zengarini N, Kunst A, Zanetti R, Rosso S, Costa G: Cancer risk in relationship to different indicators of adult socioeconomic position in Turin, Italy. Cancer Causes Control. 2010, 21: 1117-1130. 10.1007/s10552-010-9539-0.View ArticleGoogle Scholar
- Federico B, Kunst AE, Vannoni F, Damiani G, Costa G: Trends in educational inequalities in smoking in northern, mid and southern Italy, 1980-2000. Prev Med. 2004, 39: 919-926. 10.1016/j.ypmed.2004.03.029.View ArticleGoogle Scholar
- Schaap MM, van Agt HME, Kunst AE: Identification of socioeconomic groups at increased risk for smoking in European countries: looking beyond educational level. Nicotine Tob Res. 2008, 10: 359-369. 10.1080/14622200701825098.View ArticleGoogle Scholar
- Romelsjö A, Stenbacka M, Lundberg M, Upmark M: A population study of the association between hospitalization for alcoholism among employees in different socio-economic classes and the risk of mobility out of, or within, the workforce. Eur J Public Health. 2004, 14: 53-57. 10.1093/eurpub/14.1.53.View ArticleGoogle Scholar
- National Cancer Intelligence Network: Cancer Incidence by Deprivation. England, 1995-2004. [http://library.ncin.org.uk/docs/081202-NCIN-Incidence_by_Deprivation_95_04.pdf]
- Dos Santos Silva I, Beral V: Socioeconomic differences in reproductive behaviour. Social inequalities and cancer. Edited by: Kogevinas M, Pearce N, Susser M, Boffetta P. 1997, Lyon: IARC, IARC Scientific Publications, 138: 285-308.Google Scholar
- Bigby JA, Holmes MD: Disparities across the breast cancer continuum. Cancer Causes Control. 2005, 16: 35-44. 10.1007/s10552-004-1263-1.View ArticleGoogle Scholar
- Gandini S, Sera F, Cattaruzza MS, Pasquini P, Picconi O, Boyle P, Melchi CF: Meta-analysis of risk factors for cutaneous melanoma: II. Sun exposure. Eur J Cancer. 2005, 41: 45-60. 10.1016/j.ejca.2004.10.016.View ArticleGoogle Scholar
- Montella M, Crispo A, Grimaldi M, De Marco MR, Ascierto PA, Parasole R, Melucci MT, Silvestro P, Fabbrocini G: An assessment of factors related to tumor thickness and delay in diagnosis of melanoma in southern Italy. Prev Med. 2002, 35: 271-277. 10.1006/pmed.2002.1067.View ArticleGoogle Scholar
- Gilligan T: Social disparities and prostate cancer: mapping the gaps in our knowledge. Cancer Causes Control. 2005, 16: 45-53. 10.1007/s10552-004-1291-x.View ArticleGoogle Scholar
- Shack L, Jordan C, Thomson CS, Mak V, Moller H, 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: 271-280. 10.1186/1471-2407-8-271.View ArticleGoogle Scholar
- Iannucci L, Sabbadini LL, Sebastiani G: Breastfeeding: trend and geographical differences. Statistical information and policies to promote health. Conference Proceedings, Rome 10â€“12 September 2002. Edited by: Sabbadini LL, Costa G. 2004, Roma: Istat, 329-340. [Italian]Google Scholar
- Rendall M, Couet C, Lappegard T, Robert-Bobée I, Rønsen M, Smallwood S: First births by age and education in Britain, France and Norway. Popul Trends. 2005, 121: 27-34.Google Scholar
- Lange C, Schenk L, Bergmann R: Distribution, duration and temporal trend of breastfeeding in Germany. Results of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS). Bundesgesundheitsbl - Gesundheitsforsch - Gesundheitsschutz. 2007, 50: 624-633. 10.1007/s00103-007-0223-9. [German]View ArticleGoogle Scholar
- Coleman MP, Quaresma M, Berrino F, Lutz JM, De Angelis R, Capocaccia R, Baili P, Rachet B, Gatta G, Hakulinen T, Micheli A, Sant M, Weir HK, Elwood JM, Tsukuma H, Koifman S, Azevedo e Silva G, Francisci S, Santaquilani M, Verdecchia A, Storm HH, Young JL, CONCORD Working Group: Cancer survival in five continents: a worldwide population-based study (CONCORD). Lancet Oncol. 2008, 9: 730-756. 10.1016/S1470-2045(08)70179-7.View ArticleGoogle Scholar
- Vercelli M, Capocaccia R, Quaglia R, Casella C, Puppo A, Coebergh JWW, EUROCARE Working Group: Relative survival in elderly European cancer patients: evidence for health care inequalities. Crit Rev Oncol Hematol. 2000, 35: 161-179. 10.1016/S1040-8428(00)00075-5.View ArticleGoogle Scholar
- Kogevinas M, Porta M: Socioeconomic differences in cancer survival: a review of the evidence. Social inequalities and cancer. Edited by: Kogevinas M, Pearce N, Susser M, Boffetta P. 1997, Lyon: IARC, IARC Scientific Publications, 138: 177-206.Google Scholar
- Woods LM, Rachet B, Coleman MP: Origins of socio-economic inequalities in cancer survival: a review. Ann Oncol. 2006, 17: 5-19. 10.1093/annonc/mdj007.View ArticleGoogle Scholar
- Auvinen A, Karjalainen S: Possible explanations for social class differences in cancer patients survival. Social inequalities and cancer. Edited by: Kogevinas M, Pearce N, Susser M, Boffetta P. 1997, Lyon: IARC, IARC Scientific Publications, 138: 177-206.Google Scholar
- Ciccone G, Prastaro C, Ivaldi C, Giacometti R, Vineis P: Access to hospital care, clinical stage and survival from colorectal cancer according to socio-economic status. Ann Oncol. 2000, 11: 1201-1204. 10.1023/A:1008352119907.View ArticleGoogle Scholar
- Vineis P, Foriero G, Magnino A, Giacometti R, Ciccone G: Diagnostic delay, clinical stage, and social class: a hospital based study. J Epidemiol Community Health. 1993, 43: 229-231. 10.1136/jech.47.3.229.View ArticleGoogle Scholar
- Berkman LF: The role of social relations in health promotion. Psychosom Med. 1995, 57: 245-254.View ArticleGoogle Scholar
- Kawachi I: Social capital and community effects on population and individual health. Ann N Y Acad Sci. 1999, 896: 120-130. 10.1111/j.1749-6632.1999.tb08110.x.View ArticleGoogle Scholar
- Downing A, Prakash K, Gilthorpe MS, Mikeljevic JS, Forman D: Socioeconomic background in relation to stage at diagnosis, treatment and survival in women with breast cancer. Br J Cancer. 2007, 96: 836-840. 10.1038/sj.bjc.6603622.View ArticleGoogle Scholar
- Rosato R, Sacerdote C, Pagano E, Di Cuonzo D, Baldi I, Bordon R, Ponti A, Bertetto O, Segnan N, Merletti F, Vineis P, Ciccone G: Appropriateness of early breast cancer management in relation to patient and hospital characteristics: a population based study in Northern Italy. Breast Cancer Res Treat. 2009, 117: 349-356. 10.1007/s10549-008-0252-6.View ArticleGoogle Scholar
- Pagano E, Filippini C, Di Cuonzo D, Ruffini E, Zanetti R, Rosso S, Bertetto O, Merletti F, Ciccone G: Factors affecting pattern of care and survival in a population-based cohort of non-small-cell lung cancer incident cases. Cancer Epidemiol. 2010, 34: 483-9. 10.1016/j.canep.2010.04.002.View ArticleGoogle Scholar
- Jack RH, Gulliford MC, Ferguson J, Møller H: Explaining inequalities in access to treatment in lung cancer. J Eval Clin Pract. 2006, 12: 573-582. 10.1111/j.1365-2753.2006.00644.x.View ArticleGoogle Scholar
- Gurney JG, Krull KR, Kadan-Lottick N, Nicholson HS, Nathan PC, Zebrack B, Tersak JM, Ness KK: Social outcomes in the Childhood Cancer Survivor Study cohort. J Clin Oncol. 2009, 27: 2390-2395. 10.1200/JCO.2008.21.1458.View ArticleGoogle Scholar
- Barrera M, Shaw AK, Speechley KN, Maunsell E, Pogany L: Educational and social late effects of childhood cancer and related clinical, personal, and familial characteristics. Cancer. 2005, 104: 1751-1760. 10.1002/cncr.21390.View ArticleGoogle Scholar
- Dama E, Maule MM, Mosso ML, Alessi D, Ghisleni M, Pivetta E, Pisani P, Magnani C, Pastore G, Merletti F: Life after childhood cancer: marriage and offspring in adult long-term survivors - a population-based study in the Piedmont region, Italy. Eu J Cancer Prev. 2009, 18: 425-430. 10.1097/CEJ.0b013e3283307770.View ArticleGoogle Scholar
- De Boer AG, Verbeek JH, van Dijk FJ: Adult survivors of childhood cancer and unemployment: A metaanalysis. Cancer. 2006, 107: 1-11. 10.1002/cncr.21974.View ArticleGoogle Scholar
- De Boer AG, Taskila T, Ojajärvi A, van Dijk FJ, Verbeek JH: Cancer survivors and unemployment: a meta-analysis and meta-regression. JAMA. 2009, 301: 753-762. 10.1001/jama.2009.187.View ArticleGoogle Scholar
- Pollack LA, Greer GE, Rowland JH, Miller A, Doneski D, Coughlin SS, Stovall E, Ulman D: Cancer survivorship: a new challenge in comprehensive cancer control. Cancer Causes Control. 2005, 16 (suppl.1): 51-59. 10.1007/s10552-005-0452-x.View ArticleGoogle Scholar
- Fairley TL, Pollack LA, Moore AR, Smith JL: Addressing cancer survivorship through public health: an update from the Centers for Disease Control and Prevention. J Women Health. 2009, 18: 1525-1531. 10.1089/jwh.2009.1666.View ArticleGoogle Scholar
- Marmot M: Social determinants of health inequalities. Lancet. 2005, 365: 1099-1104.View ArticleGoogle Scholar
- Kazan-Allen L: Asbestos and mesothelioma: worldwide trends. Lung Cancer. 2005, 49 (Suppl 1): S3-8. 10.1016/j.lungcan.2005.03.002.View ArticleGoogle Scholar
- Rotterdam Convention. [http://www.pic.int/home.php?type=t&id=5&sid=16]
- Judge K, Platt S, Costongs C, Jurczak K: Health inequalities: a challenge for Europe. 2005, London: UK Presidency of the EU, [http://www.eurohealthnet.eu/images/publications/pu_2.pdf]Google Scholar
- Bambra C, Gibson M, Sowden A, Wright K, Whitehead M, Petticrew M: Tackling the wider determinants of health and health inequalities: evidence from systematic reviews. J Epidemiol Community Health. 2010, 64: 284-291. 10.1136/jech.2008.082743.View ArticleGoogle Scholar
- The Marmot Review: Fair Society, Healthy Lives. The Marmot Review. 2010, [http://www.marmotreview.org/AssetLibrary/pdfs/Reports/FairSocietyHealthyLives.pdf]Google Scholar
- Katz SJ, Hofer TP: Socioeconomic disparities in preventive care persist despite universal coverage. Breast and cervical cancer screening in Ontario and the United States. JAMA. 1994, 272: 530-4. 10.1001/jama.272.7.530.View ArticleGoogle Scholar
- Stirbu I, Kunst A, Mielck A, Mackenbach JP: Educational inequalities in utilization of preventive services among elderly in Europe. Tackling Health Inequalities. Europe: An Integrated Approach - EUROTHINE. Final Report. 2007, Rotterdam: Erasmus MC, 483-499. [http://survey.erasmusmc.nl/eurothine]Google Scholar
- Moser K, Patnick J, Beral V: Inequalities in reported use of breast and cervical screening in Great Britain: analysis of cross sectional survey data. BMJ. 2009, 338: b2025-10.1136/bmj.b2025.View ArticleGoogle Scholar
- Palencia L, Espelt A, Rodriguez-Sanz M, Puigpinos R, Pons-Vigues M, Pasarin MI, Spadea T, Kunst AE, Borrel C: Socio-economic inequalities in breast and cervical cancer screening practices in Europe: influence of the type of screening program. Int J Epidemiol. 2010, 39: 757-65. 10.1093/ije/dyq003.View ArticleGoogle Scholar
- Spadea T, Bellini S, Kunst A, Stirbu I, Costa G: The impact of interventions to improve attendance in female cancer screening among lower socioeconomic groups: A review. Prev Med. 2010, 50: 159-164. 10.1016/j.ypmed.2010.01.007.View ArticleGoogle Scholar
- Frohlich KL, Potvin L: Transcending the known in public health practice: the inequality paradox: the population approach and vulnerable populations. Am J Public Health. 2008, 98 (2): 216-221. 10.2105/AJPH.2007.114777.View ArticleGoogle Scholar
- WHO: Closing the gap in a generation: health equity through action on the social determinants of health. Commission on Social Determinants of Health - Final Report. 2008, Geneva, World Health Organization, [http://www.who.int/social_determinants/thecommission/finalreport/en/index.html]Google Scholar
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