TY - JOUR
T1 - Cancer risk in relationship to different indicators of adult socioeconomic position in Turin, Italy
AU - Spadea, Teresa
AU - Zengarini, Nicolás
AU - Kunst, Anton
AU - Zanetti, Roberto
AU - Rosso, Stefano
AU - Costa, Giuseppe
N1 - Funding Information: Acknowledgments We wish to thank Dr. Mauricio Avendano and Dr. Nicola Caranci for their support in discussing and refining statistical analyses. We also thank two anonymous reviewers for precious suggestions. This study was partially funded by the European Commission, through the Eurocadet Project (from the commission of the European communities research directorate-general, Grant No. EUROCADET: SP23-CT-2005-006528) and by the Italian Ministry of Labour, Health and Social Policy, through the National Centre for the Prevention and Control of Diseases (CCM).
PY - 2010/7
Y1 - 2010/7
N2 - Objective To determine the magnitude of social inequalities in cancer incidence according to different socioeconomic indicators and to assess the independent role of each indicator. Methods Data from the Turin Longitudinal Study and the Piedmont Cancer Registry (1985-1999) were used to analyse the relationship of cancer incidence with three dimensions of individual socioeconomic position (education, occupation, and material living conditions) and with an area-based deprivation index. Multivariate Poisson regression models were used to estimate both relative risks and relative indexes of inequality (RIIs). Results Results showed an independent role of all the socioeconomic indicators. The overall gradients of inequalities, expressed by the RIIs for total cancer incidence, varied from 9 to 26% among men; among women, we estimated a 22% protection at the bottom of the educational hierarchy, and a 12% gradient for decreasing ease of living conditions. For most cancer sites, socioeconomic position in early adult life was as important as later socioeconomic position, while the area-based deprivation index played only an additional role. Conclusions Different socioeconomic indicators pinpoint to a series of specific risk factors that are related to specific phases of the life course. Individual level data, rather than ecological data, is preferred to accurately monitor social inequalities in cancer risk.
AB - Objective To determine the magnitude of social inequalities in cancer incidence according to different socioeconomic indicators and to assess the independent role of each indicator. Methods Data from the Turin Longitudinal Study and the Piedmont Cancer Registry (1985-1999) were used to analyse the relationship of cancer incidence with three dimensions of individual socioeconomic position (education, occupation, and material living conditions) and with an area-based deprivation index. Multivariate Poisson regression models were used to estimate both relative risks and relative indexes of inequality (RIIs). Results Results showed an independent role of all the socioeconomic indicators. The overall gradients of inequalities, expressed by the RIIs for total cancer incidence, varied from 9 to 26% among men; among women, we estimated a 22% protection at the bottom of the educational hierarchy, and a 12% gradient for decreasing ease of living conditions. For most cancer sites, socioeconomic position in early adult life was as important as later socioeconomic position, while the area-based deprivation index played only an additional role. Conclusions Different socioeconomic indicators pinpoint to a series of specific risk factors that are related to specific phases of the life course. Individual level data, rather than ecological data, is preferred to accurately monitor social inequalities in cancer risk.
KW - Cancer incidence
KW - Italy
KW - Life course
KW - Risk factors
KW - Socioeconomic position
UR - http://www.scopus.com/inward/record.url?scp=77955659559&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/s10552-010-9539-0
DO - https://doi.org/10.1007/s10552-010-9539-0
M3 - Article
C2 - 20349125
SN - 0957-5243
VL - 21
SP - 1117
EP - 1130
JO - Cancer Causes and Control
JF - Cancer Causes and Control
IS - 7
ER -