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Explaining educational differences in mortality: The role of behavioral and material factors

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  • Schrijvers, C.T.M.
  • Stronks, K.
  • Van De Mheen, H.D.
  • Mackenbach, J.P.

Abstract

Objectives. This study examined the role of behavioral and material factors in explaining educational differences in all-cause mortality, taking into account the overlap between both types of factors. Methods. Prospective data were used on 15 451 participants in a Dutch longitudinal study. Relative hazards of all-cause mortality by educational level were calculated before and after adjustment for behavioral factors (alcohol intake, smoking, body mass index, physical activity, dietary habits) and material factors (financial problems, neighborhood conditions, housing conditions, crowding, employment status, a proxy of income). Results. Mortality was higher in lower educational groups. Four behavioral factors (alcohol, smoking, body mass index, physical activity) and 3 material factors (financial problems, employment status, income proxy) explained part of the educational differences in mortality. With the overlap between both types of factors accounted for, material factors were more important than behavioral factors in explaining mortality differences by educational level. Conclusions. The association between educational level and mortality can be largely explained by material factors. Thus, improving the material situation of people might substantially reduce educational differences in mortality.

Suggested Citation

  • Schrijvers, C.T.M. & Stronks, K. & Van De Mheen, H.D. & Mackenbach, J.P., 1999. "Explaining educational differences in mortality: The role of behavioral and material factors," American Journal of Public Health, American Public Health Association, vol. 89(4), pages 535-540.
  • Handle: RePEc:aph:ajpbhl:1999:89:4:535-540_1
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    Cited by:

    1. Rasmus Hoffmann & Hannes Kröger & Siegfried Geyer, 2019. "Social Causation Versus Health Selection in the Life Course: Does Their Relative Importance Differ by Dimension of SES?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 1341-1367, February.
    2. Claudia Börnhorst & Dörte Heger & Anne Mensen, 2019. "Associations of childhood health and financial situation with quality of life after retirement – regional variation across Europe," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-17, April.
    3. Věra Skalická & Kristen Ringdal & Margot I Witvliet, 2015. "Socioeconomic Inequalities in Mortality and Repeated Measurement of Explanatory Risk Factors in a 25 Years Follow-Up," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-18, April.
    4. Grant Johnston, 2004. "Healthy, wealthy and wise? A review of the wider benefits of education," Treasury Working Paper Series 04/04, New Zealand Treasury.
    5. Fulvio Ricceri & Carlotta Sacerdote & Maria Teresa Giraudo & Francesca Fasanelli & Giulia Lenzo & Matteo Galli & Sabina Sieri & Valeria Pala & Giovanna Masala & Benedetta Bendinelli & Rosario Tumino &, 2016. "The Association between Educational Level and Cardiovascular and Cerebrovascular Diseases within the EPICOR Study: New Evidence for an Old Inequality Problem," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-15, October.
    6. E Wu & Jun-Tao Ni & Zhao-Hui Zhu & Hong-Quan Xu & Lin Tao & Tian Xie, 2022. "Association of a Healthy Lifestyle with All-Cause, Cause-Specific Mortality and Incident Cancer among Individuals with Metabolic Syndrome: A Prospective Cohort Study in UK Biobank," IJERPH, MDPI, vol. 19(16), pages 1-16, August.
    7. Dijkstra, Ilse & Horstman, Klasien, 2021. "‘Known to be unhealthy’: Exploring how social epidemiological research constructs the category of low socioeconomic status," Social Science & Medicine, Elsevier, vol. 285(C).
    8. Ploubidis, George B. & Benova, Lenka & Grundy, Emily & Laydon, Daniel & DeStavola, Bianca, 2014. "Lifelong Socio Economic Position and biomarkers of later life health: Testing the contribution of competing hypotheses," Social Science & Medicine, Elsevier, vol. 119(C), pages 258-265.
    9. Angelo d’Errico & Fulvio Ricceri & Silvia Stringhini & Cristian Carmeli & Mika Kivimaki & Mel Bartley & Cathal McCrory & Murielle Bochud & Peter Vollenweider & Rosario Tumino & Marcel Goldberg & Marie, 2017. "Socioeconomic indicators in epidemiologic research: A practical example from the LIFEPATH study," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-32, May.
    10. Aïda Solé-Auró & Manuela Alcañiz, 2015. "Is the educational health gap increasing for women? Results from Catalonia(Spain)," Working Papers 2015-06, Universitat de Barcelona, UB Riskcenter.
    11. Jon Anson, 2004. "The Migrant Mortality Advantage: A 70 Month Follow-up of the Brussels Population," European Journal of Population, Springer;European Association for Population Studies, vol. 20(3), pages 191-218, September.
    12. Saijo, Yasuaki & Yoshioka, Eiji & Fukui, Tomonori & Kawaharada, Mariko & Kishi, Reiko, 2008. "Relationship of socioeconomic status to C-reactive protein and arterial stiffness in urban Japanese civil servants," Social Science & Medicine, Elsevier, vol. 67(6), pages 971-981, September.
    13. Cristiano Piccinelli & Paolo Carnà & Silvia Stringhini & Gabriella Sebastiani & Moreno Demaria & Michele Marra & Giuseppe Costa & Angelo d’Errico, 2018. "The contribution of behavioural and metabolic risk factors to socioeconomic inequalities in mortality: the Italian Longitudinal Study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(3), pages 325-335, April.
    14. Benedetta Pongiglione & Bianca L De Stavola & George B Ploubidis, 2015. "A Systematic Literature Review of Studies Analyzing Inequalities in Health Expectancy among the Older Population," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-21, June.
    15. Christine Muff & N. Dragano & K.-H. Jöckel & S. Moebus & S. Möhlenkamp & R. Erbel & K. Mann & J. Siegrist, 2010. "Is the co-occurrence of smoking and poor consumption of fruits and vegetables confounded by socioeconomic conditions?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 55(4), pages 339-346, August.
    16. Kyoung-Hee Cho & Juyeong Kim & Young Choi & Tae-Hyun Kim, 2022. "The Effect of Neighborhood Deprivation on Mortality in Newly Diagnosed Diabetes Patients: A Countrywide Population-Based Korean Retrospective Cohort Study, 2002–2013," IJERPH, MDPI, vol. 19(7), pages 1-14, April.
    17. Khang, Young-Ho & Lynch, John W. & Yang, Seungmi & Harper, Sam & Yun, Sung-Cheol & Jung-Choi, Kyunghee & Kim, Hye Ryun, 2009. "The contribution of material, psychosocial, and behavioral factors in explaining educational and occupational mortality inequalities in a nationally representative sample of South Koreans: Relative an," Social Science & Medicine, Elsevier, vol. 68(5), pages 858-866, March.
    18. Fubaihui Wang & Qingkai Zhen & Kaigang Li & Xu Wen, 2018. "Association of socioeconomic status and health-related behavior with elderly health in China," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-14, September.
    19. Hoffmann, Rasmus & Kröger, Hannes & Geyer, Siegfried, 2019. "Social Causation Versus Health Selection in the Life Course: Does Their Relative Importance Differ by Dimension of SES?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 141(3), pages 1341-1367.
    20. Nasima Akhter & Ross Stewart Fairbairn & Mark Pearce & Jon Warren & Adetayo Kasim & Clare Bambra, 2021. "Local Inequalities in Health Behaviours: Longitudinal Findings from the Stockton-On-Tees Cohort Study," IJERPH, MDPI, vol. 18(21), pages 1-15, October.
    21. Richter, Matthias & Erhart, Michael & Vereecken, Carine A. & Zambon, Alessio & Boyce, William & Gabhainn, Saoirse Nic, 2009. "The role of behavioural factors in explaining socio-economic differences in adolescent health: A multilevel study in 33 countries," Social Science & Medicine, Elsevier, vol. 69(3), pages 396-403, August.
    22. Loretta G. Platts, 2015. "A prospective analysis of labour market status and self-rated health in the UK and Russia," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 23(2), pages 343-370, April.
    23. Emmanuelle Cambois, 2004. "Occupational and educational differentials in mortality in French elderly people," Demographic Research Special Collections, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 2(11), pages 277-304.
    24. Terje A Eikemo & Rasmus Hoffmann & Margarete C Kulik & Ivana Kulhánová & Marlen Toch-Marquardt & Gwenn Menvielle & Caspar Looman & Domantas Jasilionis & Pekka Martikainen & Olle Lundberg & Johan P Mac, 2014. "How Can Inequalities in Mortality Be Reduced? A Quantitative Analysis of 6 Risk Factors in 21 European Populations," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-1, November.
    25. George Ploubidis & Wanjiku Mathenge & Bianca Stavola & Emily Grundy & Allen Foster & Hannah Kuper, 2013. "Socioeconomic position and later life prevalence of hypertension, diabetes and visual impairment in Nakuru, Kenya," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(1), pages 133-141, February.

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