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Wang J, Zhao Z, Yang J, Ng M, Zhou M. The association between education and premature mortality in the Chinese population: a 10-year cohort study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 47:101085. [PMID: 38751727 PMCID: PMC11091532 DOI: 10.1016/j.lanwpc.2024.101085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 03/23/2024] [Accepted: 04/22/2024] [Indexed: 05/18/2024]
Abstract
Background Recent studies have shown significant associations between education and premature mortality. However, the relationship differs across countries. We aimed to present the latest evidence on the educational inequalities in premature mortality in the Chinese population. Methods We linked two databases, to establish a population-based, ten-year cohort spanning 2010 to 2020. Cox proportional hazard regression analyses adjusting for age, sex and urbanicity were conducted for all-cause mortality, and competing risk models were fitted for cause-specific mortality. We calculated population attributable fraction (PAF) using the hazard ratios (HRs) obtained by regression analyses. Additionally, we fitted models adjusting for risk factors and investigated the mediating effect of income, smoking, alcohol consumption and diets. Findings Compared with individuals with upper secondary and above education, the HR for premature all-cause mortality for those with less than primary education was 1.93 (95% CI: 1.72-2.19). The HRs were the highest for deaths from respiratory diseases (HR = 3.09, 95% CI 1.82-5.27). The excess risk of premature mortality associated with low education was higher among women and urban population. The association of education remained significant after accounting for risk factors, and income was the main mediator, which accounted for 23.0% of mediation in men and 11.1% in women. Interpretation The study's findings support the increased risk of premature mortality associated with low education, particularly in women and urban populations. The considerable number of deaths attributed to educational inequality underscores the necessity for more effective and targeted public health interventions. Funding Chinese Central Government.
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Affiliation(s)
- Jifei Wang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhenping Zhao
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jing Yang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Marie Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Maigeng Zhou
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Pizzato M, di Maso M, Collatuzzo G, Pelucchi C, Turati F, Negri E, La Vecchia C, Boffetta P, Alicandro G. Cancer mortality associated with low education in Italy. J Public Health (Oxf) 2023; 45:822-828. [PMID: 37681283 DOI: 10.1093/pubmed/fdad164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 07/25/2023] [Accepted: 08/15/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND This study provides a nationwide representative quantification of the impact of educational inequalities on cancer mortality in Italy. METHODS The study is based on prevalence data and mortality rate ratios according to levels of education obtained from the Italian 2011 census cohort, including >35 million individuals aged 30-74. We estimated the population attributable fraction (PAF) and the number of cancer deaths associated with low education (below university degree) in Italy by sex. RESULTS PAFs for low levels of education were 29.1% among men and 13.3% among women, corresponding to 22,271 cancer deaths associated with low education in men and 7456 in women in 2019. PAFs by cancer site in men were: 53.0% for upper aerodigestive tract (UADT), 44.6% for liver, 41.3% for stomach, 41.3% for lung, 37.0% for bladder, 18.5% for colorectal, 9.8% for prostate and 9.1% for pancreatic cancers. PAFs in women were: 44.5% for cervical, 36.1% for UADT, 34.9% for stomach and 13.9% for colorectal cancers. The cancer sites with the highest number of deaths associated with low education were lung among men (7902/22,271, 35.5%) and colorectum among women (780/7456, 10.5%). CONCLUSIONS About a quarter of cancer deaths in 2019 in Italy may be prevented by reducing the socioeconomic determinants that contribute to educational disparities in cancer mortality.
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Affiliation(s)
- Margherita Pizzato
- Department of Clinical Sciences and Community Health, University of Milan, 20133 Milano, Italy
| | - Matteo di Maso
- Department of Clinical Sciences and Community Health, University of Milan, 20133 Milano, Italy
| | - Giulia Collatuzzo
- Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy
| | - Claudio Pelucchi
- Department of Clinical Sciences and Community Health, University of Milan, 20133 Milano, Italy
| | - Federica Turati
- Department of Clinical Sciences and Community Health, University of Milan, 20133 Milano, Italy
| | - Eva Negri
- Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, University of Milan, 20133 Milano, Italy
| | - Paolo Boffetta
- Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy
- Stony Brook Cancer Center, Stony Brook University, 11794 Stony Brook, NY, USA
| | - Gianfranco Alicandro
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, 20122 Milano, Italy
- Cystic Fibrosis Centre, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milano, Italy
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Tetzlaff F, Nowossadeck E, Jansen L, Michalski N, Barnes B, Kraywinkel K, Hoebel J. Widening area-based socioeconomic inequalities in cancer mortality in Germany between 2003 and 2019. Sci Rep 2023; 13:17833. [PMID: 37857781 PMCID: PMC10587166 DOI: 10.1038/s41598-023-45254-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 10/17/2023] [Indexed: 10/21/2023] Open
Abstract
Cancer mortality has declined in recent decades, but-due to a lack of national individual-level data-it remains unclear whether this applies equally to all socioeconomic groups in Germany. Using an area-based approach, this study investigated socioeconomic inequalities in cancer mortality and their secular trends on a German nationwide scale for the first time. Official cause-of-death data from 2003 to 2019 were linked to the district-level German Index of Socioeconomic Deprivation. Age-standardised mortality rates for all cancers combined and the most common site-specific cancers were calculated according to the level of regional socioeconomic deprivation. To quantify the extent of area-based socioeconomic inequalities in cancer mortality, absolute (SII) and relative (RII) indices of inequality were estimated using multilevel Poisson models. On average, cancer mortality was 50% (women) and 80% (men) higher in Germany's most deprived than least deprived districts (absolute difference: 84 deaths per 100,000 in women and 185 deaths per 100,000 in men). As declines in cancer mortality were larger in less deprived districts, the socioeconomic gap in cancer mortality widened over time. This trend was observed for various common cancers. Exceptions were cancers of the lung in women and of the pancreas in both sexes, for which mortality rates increased over time, especially in highly deprived districts. Our study provides first evidence on increasing socioeconomic inequalities in cancer mortality on a nationwide scale for Germany. Area-based linkage allows to examine socioeconomic inequalities in cancer mortality across Germany and identify regions with high needs for cancer prevention and control.
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Affiliation(s)
- Fabian Tetzlaff
- Division of Social Determinants of Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Nordufer 20, 13302, Berlin, Germany.
| | - Enno Nowossadeck
- Division of Social Determinants of Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Nordufer 20, 13302, Berlin, Germany
| | - Lina Jansen
- German Cancer Research Center (DKFZ), Epidemiological Cancer Registry Baden-Württemberg, Heidelberg, Germany
| | - Niels Michalski
- Division of Social Determinants of Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Nordufer 20, 13302, Berlin, Germany
| | - Ben Barnes
- German Centre for Cancer Registry Data, Department of Epidemiology and Health Monitoring, Robert Koch-Institute, Berlin, Germany
| | - Klaus Kraywinkel
- German Centre for Cancer Registry Data, Department of Epidemiology and Health Monitoring, Robert Koch-Institute, Berlin, Germany
| | - Jens Hoebel
- Division of Social Determinants of Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Nordufer 20, 13302, Berlin, Germany
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Tetzlaff F, Nowossadeck E, Epping J, di Lego V, Muszynska-Spielauer M, Beller J, Sperlich S, Tetzlaff J. Trends in cancer-free working life expectancy based on health insurance data from Germany-Is the increase as strong as in working life expectancy? PLoS One 2023; 18:e0288210. [PMID: 37494349 PMCID: PMC10370751 DOI: 10.1371/journal.pone.0288210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 06/21/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND Against the backdrop of population ageing, governments are facing the need to raise the statutory retirement age. In this context, the question arises whether these extra years added to working life would be spent in good health. As cancer represents a main contributor to premature retirement this study focuses on time trends and educational inequalities in cancer-free working life expectancy (WLE). METHODS The analyses are based on the data of a large German health insurer covering annually about 2 million individuals. Cancer-free WLE is calculated based on multistate life tables and reported for three periods: 2006-2008, 2011-2013, and 2016-2018. Educational inequalities in 2011-2013 were assessed by two educational levels (8 to 11 years and 12 to 13 years of schooling). RESULTS While labour force participation increased, cancer incidence rates decreased over time. Cancer-free WLE at age 18 increased by 2.5 years in men and 6.3 years in women (age 50: 1.3 years in men, 2.4 years in women) between the first and third period while increases in WLE after a cancer diagnosis remained limited. Furthermore, educational inequalities are substantial, with lower groups having lower cancer-free WLE. The proportion of cancer-free WLE in total WLE remained constant in women and younger men, while it decreased in men at higher working age. CONCLUSION The increase in WLE is accompanied by an increase in cancer-free WLE. However, the subgroups considered have not benefitted equally from this positive development. Among men at higher working age, WLE increased at a faster pace than cancer-free WLE. Particular attention should be paid to individuals with lower education and older men, as the general level and time trends in cancer-free WLE are less favourable.
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Affiliation(s)
- Fabian Tetzlaff
- Medical Sociology Unit, Hannover Medical School, Hanover, Germany
- Division of Social Determinants of Health, Robert Koch-Institute, Berlin, Germany
| | - Enno Nowossadeck
- Division of Social Determinants of Health, Robert Koch-Institute, Berlin, Germany
| | - Jelena Epping
- Medical Sociology Unit, Hannover Medical School, Hanover, Germany
- Comprehensive Cancer Center Hannover, Hannover Medical School, Hanover, Germany
| | - Vanessa di Lego
- Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, Univ. Vienna), Vienna, Austria
- Vienna Institute of Demography, Austrian Academy of Sciences, Vienna, Austria
| | - Magdalena Muszynska-Spielauer
- Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, Univ. Vienna), Vienna, Austria
- Vienna Institute of Demography, Austrian Academy of Sciences, Vienna, Austria
| | - Johannes Beller
- Medical Sociology Unit, Hannover Medical School, Hanover, Germany
- Comprehensive Cancer Center Hannover, Hannover Medical School, Hanover, Germany
| | | | - Juliane Tetzlaff
- Medical Sociology Unit, Hannover Medical School, Hanover, Germany
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The mediating role of combined lifestyle factors on the relationship between education and gastric cancer in the Stomach cancer Pooling (StoP) Project. Br J Cancer 2022; 127:855-862. [PMID: 35624300 PMCID: PMC9427973 DOI: 10.1038/s41416-022-01857-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 05/02/2022] [Accepted: 05/10/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The causal pathway between high education and reduced risk of gastric cancer (GC) has not been explained. The study aimed at evaluating the mediating role of lifestyle factors on the relationship between education and GC METHODS: Ten studies with complete data on education and five lifestyle factors (smoking, alcohol drinking, fruit and vegetable intake, processed meat intake and salt consumption) were selected from a consortium of studies on GC including 4349 GC cases and 8441 controls. We created an a priori score based on the five lifestyle factors, and we carried out a counterfactual-based mediation analysis to decompose the total effect of education on GC into natural direct effect and natural indirect effect mediated by the combined lifestyle factors. Effects were expressed as odds ratios (ORs) with a low level of education as the reference category. RESULTS The natural direct and indirect effects of high versus low education were 0.69 (95% CI: 0.62-0.77) and 0.96 (95% CI: 0.95-0.97), respectively, corresponding to a mediated percentage of 10.1% (95% CI: 7.1-15.4%). The mediation effect was limited to men. CONCLUSIONS The mediation effect of the combined lifestyle factors on the relationship between education and GC is modest. Other potential pathways explaining that relationship warrants further investigation.
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Zelenina A, Shalnova S, Maksimov S, Drapkina O. Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10063. [PMID: 36011694 PMCID: PMC9408665 DOI: 10.3390/ijerph191610063] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/10/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
Abstract
INTRODUCTION Many studies around the world are undertaken to establish the association between deprivation and public health indicators. Both separate indicators (e.g., income, education, occupation, public security and social support) and complex models (indices) include several indicators. Deprivation indices are actively used in public health since the mid 1980s. There is currently no clear classification of indices. METHODS In the current review, data related to deprivation indices are combined and analyzed in order to create a taxonomy of indices based on the results obtained. The search was carried out using two bibliographic databases. After conducting a full-text review of the articles and searching and adding relevant articles from the bibliography, and articles that were already known to the authors, sixty studies describing the use of sixty deprivation indices in seventeen countries were included in the narrative synthesis, resulting in development of a taxonomy of indices. When creating the taxonomy, an integrative approach was used that allows integrating new classes and sub-classes in the event that new information appears. RESULTS In the review, 68% (41/60) of indices were classified as socio-economic, 7% (4/60) of indices as material deprivation, 5% (3/60) of indices as environmental deprivation and 20% (12/60) as multidimensional indices. CONCLUSIONS The data stimulates the use of a competent approach, and will help researchers and public health specialist in resolving conflicts or inconsistencies that arise during the construction and use of indices.
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Affiliation(s)
- Anastasia Zelenina
- National Medical Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, Petroverigskiy per. 10, 101990 Moscow, Russia
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Collatuzzo G, Alicandro G, Bertuccio P, Pelucchi C, Bonzi R, Palli D, Ferraroni M, Ye W, Plymoth A, Zaridze D, Maximovich D, Aragones N, Castaño-Vinyals G, Vioque J, Garcia de la Hera M, Zhang ZF, Hu J, Lopez-Carrillo L, López-Cervantes M, Dalmartello M, Mu L, Ward MH, Rabkin C, Yu GP, Camargo MC, Curado MP, Lunet N, Negri E, La Vecchia C, Boffetta P. Peptic ulcer as mediator of the association between risk of gastric cancer and socioeconomic status, tobacco smoking, alcohol drinking and salt intake. J Epidemiol Community Health 2022; 76:jech-2022-219074. [PMID: 35831132 DOI: 10.1136/jech-2022-219074] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/25/2022] [Indexed: 12/17/2022]
Abstract
BACKGROUND Peptic ulcer disease (PUD) and gastric cancer (GC) are more prevalent in individuals with low socioeconomic status (SES) and share several risk factors. The aim of this study was to investigate the mediating role of PUD in the association between established risk factors and GC. METHODS We conducted a pooled analysis of 12 studies from the Stomach Cancer Pooling Project Consortium, including a total of 4877 GC cases and 11 808 controls. We explored the mediating role of PUD in the association between SES, tobacco smoking, heavy alcohol drinking and salt intake, and GC. Also, we assessed the ORs and 95% CIs of the risk factors and both PUD and GC. RESULTS PUD mediated 36% of the smoking effect mainly among men. Other risk factors were only slightly mediated by PUD (SES, 5.3%; heavy alcohol drinking, 3.3%; and salt intake, 2.5%). No significant difference was found when excluding PUD diagnosed within 2 years from GC. CONCLUSIONS Our study provides innovative information on the mechanism of stomach mucosal damage leading to PUD and GC, with respect to the effect of tobacco smoking in particular.
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Affiliation(s)
- Giulia Collatuzzo
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Gianfranco Alicandro
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milano, Italy
- Cystic Fibrosis Center, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Paola Bertuccio
- Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", Università degli Studi di Milano, Milan, Italy
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
| | - Claudio Pelucchi
- Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", Università degli Studi di Milano, Milan, Italy
| | - Rossella Bonzi
- Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", Università degli Studi di Milano, Milan, Italy
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network, ISPRO, Florence, Italy
| | - Monica Ferraroni
- Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", Università degli Studi di Milano, Milan, Italy
| | - Weimin Ye
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Amelie Plymoth
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - David Zaridze
- Department of Epidemiology and Prevention, Russian N.N. Blokhin Cancer Research Center, Moscow, Russia
| | - Dmitry Maximovich
- Department of Epidemiology and Prevention, Russian N.N. Blokhin Cancer Research Center, Moscow, Russia
| | - Nuria Aragones
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Cancer Epidemiology Section, Public Health Division, Department of Health of Madrid, Madrid, Spain
| | - Gemma Castaño-Vinyals
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Barcelona Institute for Global Health-ISGlobal, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Jesus Vioque
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernandez (ISABIAL-UMH), Alicante, Spain
| | - Manoli Garcia de la Hera
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernandez (ISABIAL-UMH), Alicante, Spain
| | - Zuo-Feng Zhang
- Department of Epidemiology, UCLA Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, California, USA
| | - Jinfu Hu
- Harbin Medical University, Harbin, People's Republic of China
| | | | | | - Michela Dalmartello
- Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", Università degli Studi di Milano, Milan, Italy
| | - Lina Mu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Mary H Ward
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Charles Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Guo-Pei Yu
- Medical Informatics Center, Peking University, Peking, People's Republic of China
| | - M Constanza Camargo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Maria Paula Curado
- Centro Internacional de Pesquisa, A. C. Camargo Cancer Center, São Paulo, Brazil
| | - Nuno Lunet
- EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, Porto, Portugal
| | - Eva Negri
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
- Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", Università degli Studi di Milano, Milan, Italy
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", Università degli Studi di Milano, Milan, Italy
| | - Paolo Boffetta
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York, USA
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Alicandro G, Bertuccio P, Sebastiani G, La Vecchia C, Frova L. Long working hours and cardiovascular mortality: a census-based cohort study. Int J Public Health 2020; 65:257-266. [PMID: 32303771 DOI: 10.1007/s00038-020-01361-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 03/05/2020] [Accepted: 03/19/2020] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVES Long working hours have been associated with cardiovascular disease (CVD) mortality. However, results are inconsistent and large cohort studies are needed to confirm these findings. METHODS We conducted a census-based cohort study including 11,903,540 Italian workers aged 20-64 years, registered in the 2011 census, with a 5-year follow-up (2012-2016). We estimated cause-specific hazard ratios (cHRs) through Cox regression models to quantify the association between long working hours and CVD mortality. RESULTS Over 5 years of follow-up, 17,206 individuals died from CVD (15,262 men and 1944 women). Men working 55 or more hours per week had a cHR of 0.95 (95% confidence interval, CI 0.89-1.02) for all CVDs, while women showed a cHR of 1.19 (95% CI 0.95-1.49). Professional women working more than 55 h per week had a cHR of 1.98 (95% CI 0.87-4.52). CONCLUSIONS This study does not support an association between long working hours and CVD mortality among active Italian men, while it suggests a possible excess risk among women, although based on limited number of events.
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Affiliation(s)
- Gianfranco Alicandro
- Directorate for Social Statistics and Population Census, National Institute of Statistics (ISTAT), Viale Liegi 13, 00198, Rome, Italy.
| | - Paola Bertuccio
- Department of Biomedical and Clinical Sciences L.Sacco, Università degli Studi di Milano, Milan, Italy
| | - Gabriella Sebastiani
- Directorate for Social Statistics and Population Census, National Institute of Statistics (ISTAT), Viale Liegi 13, 00198, Rome, Italy
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Luisa Frova
- Directorate for Social Statistics and Population Census, National Institute of Statistics (ISTAT), Viale Liegi 13, 00198, Rome, Italy
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9
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Rota M, Alicandro G, Pelucchi C, Bonzi R, Bertuccio P, Hu J, Zhang ZF, Johnson KC, Palli D, Ferraroni M, Yu GP, Galeone C, López-Carrillo L, Muscat J, Lunet N, Ferro A, Ye W, Plymoth A, Malekzadeh R, Zaridze D, Maximovitch D, Kogevinas M, Fernández de Larrea N, Vioque J, Navarrete-Muñoz EM, Tsugane S, Hamada GS, Hidaka A, Pakseresht M, Wolk A, Håkansson N, Hernández-Ramírez RU, López-Cervantes M, Ward M, Pourfarzi F, Mu L, Kurtz RC, Lagiou A, Lagiou P, Boffetta P, Boccia S, Negri E, La Vecchia C. Education and gastric cancer risk-An individual participant data meta-analysis in the StoP project consortium. Int J Cancer 2020; 146:671-681. [PMID: 30919464 DOI: 10.1002/ijc.32298] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 01/30/2019] [Accepted: 02/14/2019] [Indexed: 01/11/2023]
Abstract
Low socioeconomic position (SEP) is a strong risk factor for incidence and premature mortality from several cancers. Our study aimed at quantifying the association between SEP and gastric cancer (GC) risk through an individual participant data meta-analysis within the "Stomach cancer Pooling (StoP) Project". Educational level and household income were used as proxies for the SEP. We estimated pooled odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) across levels of education and household income by pooling study-specific ORs through random-effects meta-analytic models. The relative index of inequality (RII) was also computed. A total of 9,773 GC cases and 24,373 controls from 25 studies from Europe, Asia and America were included. The pooled OR for the highest compared to the lowest level of education was 0.60 (95% CI, 0.44-0.84), while the pooled RII was 0.45 (95% CI, 0.29-0.69). A strong inverse association was observed both for noncardia (OR 0.39, 95% CI, 0.22-0.70) and cardia GC (OR 0.47, 95% CI, 0.22-0.99). The relation was stronger among H. pylori negative subjects (RII 0.14, 95% CI, 0.04-0.48) as compared to H. pylori positive ones (RII 0.29, 95% CI, 0.10-0.84), in the absence of a significant interaction (p = 0.28). The highest household income category showed a pooled OR of 0.65 (95% CI, 0.48-0.89), while the corresponding RII was 0.40 (95% CI, 0.22-0.72). Our collaborative pooled-analysis showed a strong inverse relationship between SEP indicators and GC risk. Our data call for public health interventions to reduce GC risk among the more vulnerable groups of the population.
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Affiliation(s)
- Matteo Rota
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Gianfranco Alicandro
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Italian National Institute of Statistics, Rome, Italy
| | - Claudio Pelucchi
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Rossella Bonzi
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Paola Bertuccio
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Jinfu Hu
- Harbin Medical University, Harbin, China
| | - Zuo-Feng Zhang
- Department of Epidemiology, UCLA Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Kenneth C Johnson
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network, ISPRO, Florence, Italy
| | - Monica Ferraroni
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Guo-Pei Yu
- Medical Informatics Center, Peking University, Peking, China
| | - Carlotta Galeone
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | | | - Joshua Muscat
- Department of Public Health Sciences, Tobacco Center of Regulatory Science, Penn Sylvania State University College of Medicine, Hershey, PA, USA
| | - Nuno Lunet
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, Porto, Portugal
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
| | - Ana Ferro
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
| | - Weimin Ye
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Amelie Plymoth
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Reza Malekzadeh
- Digestive Oncology Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - David Zaridze
- Department of Epidemiology and Prevention, Russian N.N. Blokhin Cancer Research Center, Moscow, Russia
| | - Dmitry Maximovitch
- Department of Epidemiology and Prevention, Russian N.N. Blokhin Cancer Research Center, Moscow, Russia
| | - Manolis Kogevinas
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- ISGlobal, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Nerea Fernández de Larrea
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Environmental and Cancer Epidemiology Unit, National Center of Epidemiology, Carlos III Health Institute, Madrid, Spain
| | - Jesus Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Public Health, Miguel Hernandez University, FISABIO-ISABIAL, Alicante, Spain
| | - Eva M Navarrete-Muñoz
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Public Health, Miguel Hernandez University, FISABIO-ISABIAL, Alicante, Spain
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | | | - Akihisa Hidaka
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Mohammadreza Pakseresht
- Digestive Oncology Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Department of Agricultural, Food and Nutritional Sciences, University of Alberta, Edmonton, AB, Canada
- Nutritional Epidemiology Group, Centre for Epidemiology and Biostatistics, University of Leeds, Leeds, United Kingdom
| | - Alicja Wolk
- Unit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Niclas Håkansson
- Unit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Raúl Ulises Hernández-Ramírez
- Mexico National Institute of Public Health, Morelos, Mexico
- Department of Biostatistics, Yale School of Public Health, Yale School of Medicine, New Haven, CT, USA
| | | | - Mary Ward
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Farhad Pourfarzi
- Digestive Oncology Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Digestive Disease Research Center, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Lina Mu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Robert C Kurtz
- Department of Medicine, Memorial Sloan Kettering Cancer Centre, New York, NY, USA
| | - Areti Lagiou
- Department of Public and Community Health, School of Health Sciences, University of West Attica, Egaleo, Greece
| | - Pagona Lagiou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Paolo Boffetta
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medical and Surgical Sciences, University of Bologna, Italy
| | - Stefania Boccia
- Sezione di Igiene, Istituto di Sanità Pubblica, Università Cattolica del Sacro Cuore, Roma, Italia
- Department of Woman and Child Health and Public Health - Public Health Area, Fondazione Policlinico Universitario A.Gemelli IRCCS, Roma, Italia
| | - Eva Negri
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
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10
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Alicandro G, Bertuccio P, Sebastiani G, La Vecchia C, Frova L. Mortality among Italian male workers in the construction industry: a census-based cohort study. Eur J Public Health 2019; 30:247-252. [DOI: 10.1093/eurpub/ckz129] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Abstract
Background
Advances in technologies, occupational hygiene and increased surveillance have reduced the excess mortality previously found in the construction industry. This study is aimed to evaluate cause-specific mortality in a recent cohort of construction workers.
Methods
We carried out a record-linkage cohort study based on the 2011 Italian census and the mortality archives (2012–2015), including 1 068 653 construction workers. We estimated mortality rate ratios (MRR) using Poisson regression models including terms for age and geographic area.
Results
Compared with non-manual workers, construction workers showed an excess mortality from all causes (MRR: 1.34), all neoplasms (MRR: 1.30), head and neck (MRR: 2.05), stomach (MRR: 1.56), liver (MRR: 1.62), lung (MRR: 1.80), prostate (MRR: 1.24) and bladder (MRR: 1.60) cancers, respiratory (MRR: 1.41) and liver (MRR: 1.79) diseases, all external causes (MRR: 1.87), falls (MRR: 2.87) and suicide (MRR: 1.58). Compared with manual workers in other industries, construction workers showed excess mortality from prostate (MRR: 1.27) and non-melanoma skin cancers (MRR: 1.95), all external causes (MRR: 1.14), falls (MRR: 1.94) and suicide (MRR: 1.18). Most of this excess mortality disappeared after adjusting for education, with the exception of prostate and non-melanoma skin cancers, all external causes, falls and suicide.
Conclusions
Construction workers are at high risk of dying from external causes, while the excess mortality found for several cancers, liver and respiratory diseases may be at least partially due to the high prevalence of low education and unfavorable lifestyle factors. The excess mortality from prostate cancer requires further evaluations.
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Affiliation(s)
- Gianfranco Alicandro
- Italian National Institute of Statistics (Istat), Rome, Italy
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Paola Bertuccio
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, Milan, Italy
| | | | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Luisa Frova
- Italian National Institute of Statistics (Istat), Rome, Italy
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11
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The main causes of death contributing to absolute and relative socio-economic inequality in Italy. Public Health 2018; 164:39-48. [DOI: 10.1016/j.puhe.2018.07.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 07/05/2018] [Accepted: 07/10/2018] [Indexed: 11/19/2022]
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12
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Mortality by occupation-based social class in Italy from 2012 to 2014. Int J Public Health 2018; 63:865-874. [PMID: 30051314 DOI: 10.1007/s00038-018-1149-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Revised: 06/26/2018] [Accepted: 07/19/2018] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES Evaluating socio-economic inequality in cause-specific mortality among the working population requires large cohort studies. Through this census-based study, we aimed to quantify disparities in mortality across occupation-based social classes in Italy. METHODS We conducted a historical cohort study on a sample of more than 16 million workers. We estimated the mortality rate ratios for each social class, considering upper non-manual workers as reference. RESULTS Non-skilled manual workers showed an increased mortality from upper aero-digestive tract, stomach and liver cancers, and from diseases of the circulatory system, transport accidents and suicides in both sexes, and from infectious diseases, diabetes, lung and bladder cancers only in men. Among women, an excess mortality emerged for cervical cancer, whereas mortality from breast and ovarian cancers was lower. When education was taken into account, the excess mortality decreased in men while was no longer significant in women. CONCLUSIONS There are remarkable disparities across occupation-based social classes in the Italian working population that favour the upper non-manual workers. Our data could be useful in planning policies for a more effective health and social security system.
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