IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0137576.html
   My bibliography  Save this article

Education and Mortality in the Rome Longitudinal Study

Author

Listed:
  • Laura Cacciani
  • Anna Maria Bargagli
  • Giulia Cesaroni
  • Francesco Forastiere
  • Nera Agabiti
  • Marina Davoli

Abstract

Background: A large body of evidence supports an inverse association between socioeconomic status and mortality. We analysed data from a large cohort of residents in Rome followed-up between 2001 and 2012 to assess the relationship between individual education and mortality. We distinguished five causes of death and investigated the role of age, gender, and birthplace. Methods: From the Municipal Register we enrolled residents of Rome on October 21st 2001 and collected information on educational level attained from the 2001 Census. We selected Italian citizens aged 30–74 years and followed-up their vital status until 2012 (n = 1,283,767), identifying the cause of death from the Regional Mortality Registry. We calculated hazard ratios (HRs) for overall and cause-specific mortality in relation to education. We used age, gender, and birthplace for adjusted or stratified analyses. We used the inverse probability weighting approach to account for right censoring due to emigration. Results: We observed an inverse association between education (none vs. post-secondary+ level) and overall mortality (HRs(95%CIs): 2.1(1.98–2.17), males; 1.5(1.46–1.59), females) varying according to demographic characteristics. Cause-specific analysis also indicated an inverse association with education, in particular for respiratory, digestive or circulatory system related-mortality, and the youngest people seemed to be more vulnerable to low education. Conclusion: Our results confirm the inverse association between education and overall or cause-specific mortality and show differentials particularly marked among young people compared to the elderly. The findings provide further evidence from the Mediterranean area, and may contribute to national and cross-country comparisons in Europe to understand the mechanisms generating socioeconomic differentials especially during the current recession period.

Suggested Citation

  • Laura Cacciani & Anna Maria Bargagli & Giulia Cesaroni & Francesco Forastiere & Nera Agabiti & Marina Davoli, 2015. "Education and Mortality in the Rome Longitudinal Study," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-12, September.
    • Handle: RePEc:plo:pone00:0137576
    DOI: 10.1371/journal.pone.0137576
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0137576
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0137576&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0137576?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Benjamins, Maureen Reindl & Hummer, Robert A. & Eberstein, Isaac W. & Nam, Charles B., 2004. "Self-reported health and adult mortality risk: An analysis of cause-specific mortality," Social Science & Medicine, Elsevier, vol. 59(6), pages 1297-1306, September.
    2. repec:dau:papers:123456789/10510 is not listed on IDEAS
    3. Valentina Gallo & Johan P Mackenbach & Majid Ezzati & Gwenn Menvielle & Anton E Kunst & Sabine Rohrmann & Rudolf Kaaks & Birgit Teucher & Heiner Boeing & Manuela M Bergmann & Anne Tjønneland & Susanne, 2012. "Social Inequalities and Mortality in Europe – Results from a Large Multi-National Cohort," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-10, July.
    4. Pampel, Fred C., 2003. "Age and education patterns of smoking among women in high-income nations," Social Science & Medicine, Elsevier, vol. 57(8), pages 1505-1514, October.
    5. Mackenbach, Johan P., 2012. "The persistence of health inequalities in modern welfare states: The explanation of a paradox," Social Science & Medicine, Elsevier, vol. 75(4), pages 761-769.
    6. Catherine Ross & Ryan Masters & Robert Hummer, 2012. "Education and the Gender Gaps in Health and Mortality," Demography, Springer;Population Association of America (PAA), vol. 49(4), pages 1157-1183, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hayward, Mark D. & Hummer, Robert A. & Sasson, Isaac, 2015. "Trends and group differences in the association between educational attainment and U.S. adult mortality: Implications for understanding education's causal influence," Social Science & Medicine, Elsevier, vol. 127(C), pages 8-18.
    2. Lamu, Admassu N. & Chen, Gang & Olsen, Jan Abel, 2023. "Amplified disparities: The association between spousal education and own health," Social Science & Medicine, Elsevier, vol. 323(C).
    3. María Fernanda García & Philipp Hessel & Paul Rodríguez-Lesmes, 2022. "Wealth and inequality gradients for the detection and control of hypertension in older individuals in middle-income economies around 2007-2015," PLOS ONE, Public Library of Science, vol. 17(7), pages 1-17, July.
    4. Fritzell, Sara & Ringbäck Weitoft, Gunilla & Fritzell, Johan & Burström, Bo, 2007. "From macro to micro: The health of Swedish lone mothers during changing economic and social circumstances," Social Science & Medicine, Elsevier, vol. 65(12), pages 2474-2488, December.
    5. Alaimo, Leonardo Salvatore & Ivaldi, Enrico & Landi, Stefano & Maggino, Filomena, 2022. "Measuring and evaluating socio-economic inequality in small areas: An application to the urban units of the Municipality of Genoa," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    6. Teresa Leão & Inês Campos-Matos & Clare Bambra & Giuliano Russo & Julian Perelman, 2018. "Welfare states, the Great Recession and health: Trends in educational inequalities in self-reported health in 26 European countries," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-14, February.
    7. van Ooijen, R. & Alessi, R. & Knoef, M., 2015. "Health status over the life cycle," Health, Econometrics and Data Group (HEDG) Working Papers 15/21, HEDG, c/o Department of Economics, University of York.
    8. Vonneilich, Nico & Lüdecke, Daniel & von dem Knesebeck, Olaf, 2020. "Educational inequalities in self-rated health and social relationships – analyses based on the European Social Survey 2002-2016," Social Science & Medicine, Elsevier, vol. 267(C).
    9. Elgar, Frank J. & De Clercq, Bart & Schnohr, Christina W. & Bird, Phillippa & Pickett, Kate E. & Torsheim, Torbjørn & Hofmann, Felix & Currie, Candace, 2013. "Absolute and relative family affluence and psychosomatic symptoms in adolescents," Social Science & Medicine, Elsevier, vol. 91(C), pages 25-31.
    10. Zheng Xie & Adrienne N Poon & Zhijun Wu & Weiyan Jian & Kit Yee Chan, 2015. "Is Occupation a Good Predictor of Self-Rated Health in China?," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    11. repec:osf:socarx:gdz2a_v1 is not listed on IDEAS
    12. Cinzia Di Novi & Anna Marenzi & Dino Rizzi, 2018. "Do healthcare tax credits help poor-health individuals on low incomes?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(2), pages 293-307, March.
    13. Johan Fritzell & Neda Agahi & Marja Jylhä & Tine Rostgaard, 2022. "Social inequalities in ageing in the Nordic countries," European Journal of Ageing, Springer, vol. 19(2), pages 155-159, June.
    14. Jiangping Li & Lijun Dong & Danian Tian & Yu Zhao & Huifang Yang & Xiaoyu Zhi & Lingqin Zhu, 2018. "Association between pesticide exposure intensity and self-rated health among greenhouse vegetable farmers in Ningxia, China," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-12, December.
    15. Alexi Gugushvili & Martin McKee & Michael Murphy & Aytalina Azarova & Darja Irdam & Katarzyna Doniec & Lawrence King, 2019. "Intergenerational Mobility in Relative Educational Attainment and Health-Related Behaviours," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 413-441, January.
    16. Ljunge, Martin, 2016. "Migrants, health, and happiness: Evidence that health assessments travel with migrants and predict well-being," Economics & Human Biology, Elsevier, vol. 22(C), pages 35-46.
    17. Di Novi, C. & Piacenza, M. & Robone, S. & Turati, G., 2015. "How does fiscal decentralization affect within-regional disparities in well-being? Evidence from health inequalities in Italy," Health, Econometrics and Data Group (HEDG) Working Papers 15/23, HEDG, c/o Department of Economics, University of York.
    18. repec:plo:pone00:0106898 is not listed on IDEAS
    19. Jennifer Karas Montez & Kaitlyn Barnes, 2016. "The Benefits of Educational Attainment for U.S. Adult Mortality: Are they Contingent on the Broader Environment?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 35(1), pages 73-100, February.
    20. Fenton, Anny T. & Elliott, Marc N. & Schwebel, David C. & Berkowitz, Zahava & Liddon, Nicole C. & Tortolero, Susan R. & Cuccaro, Paula M. & Davies, Suzy L. & Schuster, Mark A., 2018. "Unequal interactions: Examining the role of patient-centered care in reducing inequitable diffusion of a medical innovation, the human papillomavirus (HPV) vaccine," Social Science & Medicine, Elsevier, vol. 200(C), pages 238-248.
    21. Lizhong Peng & Jie Chen & Xiaohui Guo, 2022. "Macroeconomic conditions and health‐related outcomes in the United States: A metropolitan and micropolitan statistical area‐level analysis between 2004 and 2017," Health Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 3-20, January.
    22. Daniel Falkstedt & Kimmo Sorjonen & Tomas Hemmingsson & Ian J Deary & Bo Melin, 2013. "Psychosocial Functioning and Intelligence Both Partly Explain Socioeconomic Inequalities in Premature Death. A Population-Based Male Cohort Study," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-8, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0137576. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.