Literature DB >> 7964353

Cancer risk and social inequalities in Italy.

F Faggiano1, R Zanetti, G Costa.   

Abstract

STUDY
OBJECTIVE: To investigate social differences in cancer incidence in Turin, Italy in 1985-87.
DESIGN: A cancer incidence follow up study of the turin population in relation to socioeconomic characteristics was performed through record linkage between the 1981 census and the cancer registry. A case-control study nested in the cohort was analysed, where cases were subjects with a new diagnosis of cancer in 1985-87 and controls were a sample of the Turin population, frequency matched by sex and age group. Incidence odd ratios (ORs) were calculated for social classes (defined by education, housing tenure, and socioeconomic group) using a logistic regression model.
SETTING: The study population comprised subjects included in the 1981 Turin census (n approximately equal to 1,100,000) who were still alive, 20-69 years old, and were resident in Turin in the middle of study period. PARTICIPANTS: The analyses were based on 4215 male and 3451 female cases, and on 16,913 male and 13,838 female controls. MAIN
RESULTS: Compared with the highest educational level, the men in the lowest one showed an OR > 2 for respiratory cancers; OR = 1.48 for stomach cancer; and ORs < 0.7 for skin, colorectal, and prostate cancers. Women with a primary school education were protected against colorectal (OR = 0.71), skin (OR = 0.59), and breast cancer (OR = 0.66) compared with university degree women, but were at risk for cancer of the cervix (OR = 2.33) and stomach cancer (OR = 2.84). The association between educational level (primary school v university) and lung cancer risk is negative for men (OR = 2.47) and positive for women (OR = 0.62), while the association with housing tenure is negative for both sexes (OR = 1.44).
CONCLUSIONS: The socioeconomic distribution of some risk factors (for example smoking, alcohol, and diet) in Italy can partially explain the differences in respiratory and digestive cancers. "Unbalanced" health promotion interventions, targeted at social groups with the highest prevalences of risk factors, and national policies for increasing the level of education in the country may play an important role in reducing social differences in cancer risk.

Entities:  

Mesh:

Year:  1994        PMID: 7964353      PMCID: PMC1060006          DOI: 10.1136/jech.48.5.447

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  17 in total

1.  Leukaemia incidence, social class and estuaries: an ecological analysis.

Authors:  F E Alexander; R A Cartwright; P A McKinney; T J Ricketts
Journal:  J Public Health Med       Date:  1990

Review 2.  The measurement of social class in epidemiology.

Authors:  P Liberatos; B G Link; J L Kelsey
Journal:  Epidemiol Rev       Date:  1988       Impact factor: 6.222

3.  Cancer mortality and some socio economic correlates in Rosario, Argentina.

Authors:  L Poletto; J C Morini
Journal:  Cancer Lett       Date:  1990-03       Impact factor: 8.679

4.  [Causes of death reflecting inequality in studies on mortality associated with occupational categories and social levels].

Authors:  D Rumel
Journal:  Rev Saude Publica       Date:  1988-08       Impact factor: 2.106

5.  Social class mortality differentials: artefact, selection or life circumstances?

Authors:  A J Fox; P O Goldblatt; D R Jones
Journal:  J Epidemiol Community Health       Date:  1985-03       Impact factor: 3.710

Review 6.  [A longitudinal system of mortality surveillance according to socio-economic characteristics, as shown by population censuses: description and documentation of the system].

Authors:  G Costa; M Demaria
Journal:  Epidemiol Prev       Date:  1988-09       Impact factor: 1.901

7.  Occupation, social class and male cancer mortality in New Zealand, 1974-78.

Authors:  N E Pearce; J K Howard
Journal:  Int J Epidemiol       Date:  1986-12       Impact factor: 7.196

8.  Cancer survival and social class in Sweden.

Authors:  D Vågerö; G Persson
Journal:  J Epidemiol Community Health       Date:  1987-09       Impact factor: 3.710

9.  Socioeconomic groups and cancer risk at death in the Swiss Canton of Vaud.

Authors:  F Levi; E Negri; C La Vecchia; V C Te
Journal:  Int J Epidemiol       Date:  1988-12       Impact factor: 7.196

10.  Smoking in Italy, 1986-1987.

Authors:  M Ferraroni; C La Vecchia; R Pagano; E Negri; A Decarli
Journal:  Tumori       Date:  1989-12-31
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  10 in total

1.  Social class and cancer survival in Turin, Italy.

Authors:  S Rosso; F Faggiano; R Zanetti; G Costa
Journal:  J Epidemiol Community Health       Date:  1997-02       Impact factor: 3.710

2.  Inequality in health: socioeconomic differentials in mortality in Rome, 1990-95.

Authors:  P Michelozzi; C A Perucci; F Forastiere; D Fusco; C Ancona; V Dell'Orco
Journal:  J Epidemiol Community Health       Date:  1999-11       Impact factor: 3.710

3.  Equity in prevention and health care.

Authors:  V Lorant; B Boland; P Humblet; D Deliège
Journal:  J Epidemiol Community Health       Date:  2002-07       Impact factor: 3.710

4.  Socioeconomic circumstances and the risk of bowel cancer in Northern Ireland.

Authors:  F Kee; R Wilson; S Currie; J Sloan; R Houston; B Rowlands; J Moorehead
Journal:  J Epidemiol Community Health       Date:  1996-12       Impact factor: 3.710

5.  Access to care and outcomes for neuroendocrine tumours: does socioeconomic status matter?

Authors:  J Hallet; N G Coburn; S Singh; K Beyfuss; S Koujanian; N Liu; C H L Law
Journal:  Curr Oncol       Date:  2018-10-31       Impact factor: 3.677

6.  Cancer mortality by educational level in Italy.

Authors:  F Faggiano; P Lemma; G Costa; R Gnavi; F Pagnanelli
Journal:  Cancer Causes Control       Date:  1995-07       Impact factor: 2.506

7.  Housing and health in Germany.

Authors:  C E Pollack; O von dem Knesebeck; J Siegrist
Journal:  J Epidemiol Community Health       Date:  2004-03       Impact factor: 3.710

8.  The changing association between socioeconomic circumstances and the incidence of colorectal cancer: a population-based study.

Authors:  R Oliphant; D H Brewster; D S Morrison
Journal:  Br J Cancer       Date:  2011-05-10       Impact factor: 7.640

9.  Temporal and geographic heterogeneity of the association between socioeconomic position and hospitalisation in Italy: an income based indicator.

Authors:  Patrizia Schifano; Chiara Marinacci; Giulia Cesaroni; Valeria Belleudi; Nicola Caranci; Antonio Russo; Carlo A Perucci
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10.  Education and risk of cancer in a large cohort of men and women in the United States.

Authors:  Traci Mouw; Annemarie Koster; Margaret E Wright; Madeleine M Blank; Steven C Moore; Albert Hollenbeck; Arthur Schatzkin
Journal:  PLoS One       Date:  2008-11-04       Impact factor: 3.240

  10 in total

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