Trends in socioeconomic inequalities in cancer mortality in Barcelona: 1992–2003

Puigpinós, Rosa; Borrell, Carme; Antunes, José Leopoldo Ferreira; Azlor, Enric; Pasarín, M. Isabel; Serral, Gemma; Pons‐Vigués, Mariona; Rodríguez-Sanz, Maica; Fernández, Esteve

doi:10.1186/1471-2458-9-35

Cited by 38 publications

(34 citation statements)

References 60 publications

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“…Consistent with our findings, the risk of cervical cancer mortality in Quebec and urban Canada was 1.7 times higher in the poorest neighborhood income quintile than in the richest-income quintile [13, 55, 67]. Two recent studies reported marked educational inequalities in cervical cancer mortality in many European populations [11, 56]. …”

Section: Part IIsupporting

confidence: 90%

Socioeconomic, Rural-Urban, and Racial Inequalities in US Cancer Mortality: Part I—All Cancers and Lung Cancer and Part II—Colorectal, Prostate, Breast, and Cervical Cancers

Singh

Williams

Siahpush

et al. 2011

Journal of Cancer Epidemiology

343

360

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We analyzed socioeconomic, rural-urban, and racial inequalities in US mortality from all cancers, lung, colorectal, prostate, breast, and cervical cancers. A deprivation index and rural-urban continuum were linked to the 2003–2007 county-level mortality data. Mortality rates and risk ratios were calculated for each socioeconomic, rural-urban, and racial group. Weighted linear regression yielded relative impacts of deprivation and rural-urban residence. Those in more deprived groups and rural areas had higher cancer mortality than more affluent and urban residents, with excess risk being marked for lung, colorectal, prostate, and cervical cancers. Deprivation and rural-urban continuum were independently related to cancer mortality, with deprivation showing stronger impacts. Socioeconomic inequalities existed for both whites and blacks, with blacks experiencing higher mortality from each cancer than whites within each deprivation group. Socioeconomic gradients in mortality were steeper in nonmetropolitan than in metropolitan areas. Mortality disparities may reflect inequalities in smoking and other cancer-risk factors, screening, and treatment.

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Section: Part IIsupporting

confidence: 90%

Socioeconomic, Rural-Urban, and Racial Inequalities in US Cancer Mortality: Part I—All Cancers and Lung Cancer and Part II—Colorectal, Prostate, Breast, and Cervical Cancers

Singh

Williams

Siahpush

et al. 2011

Journal of Cancer Epidemiology

343

360

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“…This finding is consistent with most existing studies [16] [17]. People with a lower education level experience a higher burden of cancer [17].…”

Section: Discussionsupporting

confidence: 93%

Bone Cancer Mortality in Inner Mongolia from 2008 to 2012

Guo¹,

Hao²,

Du³

et al. 2015

OJEpi

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Objective: The aim of our study was to assess bone cancer mortality and the related social factors in Inner Mongolia in China. Methods: We obtained data from the Centers for Disease Control in Inner Mongolia from five monitoring points of the Death Registry System in Inner Mongolia from 2008 to 2012. We calculated the crude mortality rate for bone cancer. The χ 2 test was used to examine differences in bone cancer mortality rates between sexes and years. Unconditional logistic regressions were applied to analyze the effect of socio-demographic characteristics by sex. Results: Between 2008 and 2012, the crude mortality rate of bone cancer was 1.12/100000 (95% confidence interval = 1.02 -1.21). The bone cancer mortality was 2.24 in men and 1.25 in women, resulting in a male-female ratio of 1.8. No between-year difference in the mortality rate was observed between 2008 and 2012 (men: χ 2 = 4.65, P = 0.325; women: χ 2 = 2.21, P = 0.698). In general, mortality increased with increasing age. People with a lower education level exhibited an increased risk of bone cancer among both men and women. Jobs involving extensive manual labor decreased the likelihood of bone cancer mortality, and the odds ratio was higher for men than women (0.6 vs. 0.45). Unmarried people had a higher risk for bone cancer than married people. Conclusion: The mortality rate of bone cancer was not significantly different between men and women from 2008 to 2012. The risk of bone cancer increased with age among both sexes. Unmarried people and those with a low education status had an elevated risk of bone cancer, whereas employment in a field involving extensive manual labor appeared to be a protective factor against bone cancer.

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“…Differences in patterns of cancer incidence and mortality are observed between areas with higher and lower social development worldwide [8]. The process of economic development stimulates advances in medical technology and improved access to health care, both for infectious and non-communicable diseases such as cancer [9].…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic differentials and mortality from colorectal cancer in large cities in Brazil

Parreira

Meira

Guimarães

2016

ecancer

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The objective of this study was to compare the mortality pattern of colorectal cancer according to the social development profile of the large Brazilian cities. This was an ecological study that used as units of analysis Brazilian municipalities that were considered to be large (i.e. over 100,000 inhabitants). The social indicators adopted were obtained from the Atlas of Human Development in Brazil. Mortality data came from the Mortality Information System (MIS), represented by codes C18, C19, and C20. For data analysis, municipalities were characterised according to the indicator profile used by multivariate classification cluster analysis. It was observed that the Southeast, South, and Midwest regions concentrated over 90% of cities in the group of more developed municipalities, while the North and Northeast regions were represented by 60% of cities in the group of less developed municipalities. The mortality pattern of colorectal cancer in both groups was different, with a higher average mortality rate from colorectal cancer for populations living in cities from the more developed group (p = 0.02). The mortality rate from this cancer was shown to be directly proportional to the Municipal Human Developlemnt Index (MHDI) and inversely proportional to the inequality indicator (p < 0.001); therefore the highest means were observed among the municipalities with better socioeconomic conditions. It is important to consider social disparities to ensure equity in healthcare policy management.

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Trends in socioeconomic inequalities in cancer mortality in Barcelona: 1992–2003

Cited by 38 publications

References 60 publications

Socioeconomic, Rural-Urban, and Racial Inequalities in US Cancer Mortality: Part I—All Cancers and Lung Cancer and Part II—Colorectal, Prostate, Breast, and Cervical Cancers

Socioeconomic, Rural-Urban, and Racial Inequalities in US Cancer Mortality: Part I—All Cancers and Lung Cancer and Part II—Colorectal, Prostate, Breast, and Cervical Cancers

Bone Cancer Mortality in Inner Mongolia from 2008 to 2012

Socioeconomic differentials and mortality from colorectal cancer in large cities in Brazil

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