IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v177y2017icp100-109.html
   My bibliography  Save this article

Early-life and adult socioeconomic determinants of myocardial infarction incidence and fatality

Author

Listed:
  • Kilpi, Fanny
  • Silventoinen, Karri
  • Konttinen, Hanna
  • Martikainen, Pekka

Abstract

Social inequalities in coronary heart disease mortality have roots in childhood conditions, but it is unknown whether they are associated both with the incidence of the disease and the following survival. We studied how several different early-life socioeconomic factors, together with later socioeconomic attainment, were associated with myocardial infarction (MI) incidence and fatality in Finland. The data was based on a register-based sample of households from a census in 1950 that also provided information on childhood circumstances. MI hospitalizations and mortality in 1988–2010 were studied in those who were up to 14 years of age at the time of the census and resident in Finland in 1987 (n = 94,501). Parental education, occupation, household crowding, home ownership, and family type were examined together with adulthood education and income. Hazard and odds ratios with 95% confidence intervals (CI) were calculated using Cox regression (incidence and long-term fatality) and logistic regression (short-term fatality) models. Lower parental education, occupational background and greater household crowding were associated with MI incidence. In models adjusted for adulthood variables, crowding increased the risk by 16% (95% CI 5–29%) in men and 25% (95% CI 3–50%) in women. Short-term survival was more favourable in sons of white-collar parents and daughters of owner-occupied households, but most aspects of childhood circumstances did not strongly influence long-term fatality risk. Socioeconomic attainment in adulthood accounted for a substantial part of the effects of childhood conditions, but the measured childhood factors explained little of the disparities by adulthood education and income. Moreover, income and education remained associated with MI incidence when adjusted for unobserved shared family factors in siblings. Though social and economic development in society seems to have mitigated the disease burden associated with poor childhood living conditions in Finland, low adult socioeconomic resources have remained a strong determinant of MI incidence and fatality.

Suggested Citation

  • Kilpi, Fanny & Silventoinen, Karri & Konttinen, Hanna & Martikainen, Pekka, 2017. "Early-life and adult socioeconomic determinants of myocardial infarction incidence and fatality," Social Science & Medicine, Elsevier, vol. 177(C), pages 100-109.
    • Handle: RePEc:eee:socmed:v:177:y:2017:i:c:p:100-109
    DOI: 10.1016/j.socscimed.2017.01.055
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S027795361730062X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2017.01.055?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Elo, Irma T. & Martikainen, Pekka & Myrskylä, Mikko, 2014. "Socioeconomic status across the life course and all-cause and cause-specific mortality in Finland," Social Science & Medicine, Elsevier, vol. 119(C), pages 198-206.
    2. Notkola, V. & Punsar, S. & Karvonen, M. J. & Haapakoski, J., 1985. "Socio-economic conditions in childhood and mortality and morbidity caused by coronary heart disease in adulthood in rural Finland," Social Science & Medicine, Elsevier, vol. 21(5), pages 517-523, January.
    3. Pensola, Tiina & Martikainen, Pekka, 2004. "Life-course experiences and mortality by adult social class among young men," Social Science & Medicine, Elsevier, vol. 58(11), pages 2149-2170, June.
    4. Mark Hayward & Bridget Gorman, 2004. "The long arm of childhood: The influence of early-life social conditions on men’s mortality," Demography, Springer;Population Association of America (PAA), vol. 41(1), pages 87-107, February.
    5. Dowd, Jennifer Beam & Zajacova, Anna & Aiello, Allison, 2009. "Early origins of health disparities: Burden of infection, health, and socioeconomic status in U.S. children," Social Science & Medicine, Elsevier, vol. 68(4), pages 699-707, February.
    6. Madsen, Mia & Andersen, Per K. & Gerster, Mette & Andersen, Anne-Marie N. & Christensen, Kaare & Osler, Merete, 2014. "Are the educational differences in incidence of cardiovascular disease explained by underlying familial factors? A twin study," Social Science & Medicine, Elsevier, vol. 118(C), pages 182-190.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aino Salonsalmi & Elina Mauramo & Eero Lahelma & Ossi Rahkonen & Olli Pietiläinen, 2021. "Multiple Socioeconomic Circumstances and Initiation of Cardiovascular Medication among Ageing Employees," IJERPH, MDPI, vol. 18(19), pages 1-13, September.
    2. Magdalena Kozela & Maciej Polak & Urszula Stepaniak & Martin Bobak & Andrzej Pająk, 2022. "Changes in Socioeconomic Status as Predictors of Cardiovascular Disease Incidence and Mortality: A 10-Year Follow-Up of a Polish-Population-Based HAPIEE Cohort," IJERPH, MDPI, vol. 19(22), pages 1-11, November.

    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. Mäkinen, Tomi & Laaksonen, Mikko & Lahelma, Eero & Rahkonen, Ossi, 2006. "Associations of childhood circumstances with physical and mental functioning in adulthood," Social Science & Medicine, Elsevier, vol. 62(8), pages 1831-1839, April.
    2. Janssen, Fanny & Kunst, Anton E. & Mackenbach, Johan P., 2006. "Association between gross domestic product throughout the life course and old-age mortality across birth cohorts: Parallel analyses of seven European countries, 1950-1999," Social Science & Medicine, Elsevier, vol. 63(1), pages 239-254, July.
    3. Hannelore De Grande & Hadewijch Vandenheede & Patrick Deboosere, 2015. "Educational Inequalities in the Transition to Adulthood in Belgium: The Impact of Intergenerational Mobility on Young-Adult Mortality in 2001-2009," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-18, December.
    4. Gagnon, Alain & Bohnert, Nora, 2012. "Early life socioeconomic conditions in rural areas and old-age mortality in twentieth-century Quebec," Social Science & Medicine, Elsevier, vol. 75(8), pages 1497-1504.
    5. Haas, Steven, 2008. "Trajectories of functional health: The 'long arm' of childhood health and socioeconomic factors," Social Science & Medicine, Elsevier, vol. 66(4), pages 849-861, February.
    6. Emma Zang & Cameron Campbell, 2018. "Males’ Later-Life Mortality Consequences of Coresidence With Paternal Grandparents: Evidence From Northeast China, 1789–1909," Demography, Springer;Population Association of America (PAA), vol. 55(2), pages 435-457, April.
    7. Robert G. Wood & Brian Goesling & Sarah Avellar, "undated". "The Effects of Marriage on Health: A Synthesis of Recent Research Evidence," Mathematica Policy Research Reports d69bf47785bc4154a4e184aa5, Mathematica Policy Research.
    8. Liliya Leopold & Thomas Leopold, 2016. "Education and Health across Lives and Cohorts: A Study of Cumulative Advantage in Germany," SOEPpapers on Multidisciplinary Panel Data Research 835, DIW Berlin, The German Socio-Economic Panel (SOEP).
    9. Shen, Ke & Zeng, Yi, 2014. "Direct and indirect effects of childhood conditions on survival and health among male and female elderly in China," Social Science & Medicine, Elsevier, vol. 119(C), pages 207-214.
    10. Petter Lundborg & Carl Hampus Lyttkens & Paul Nystedt, 2016. "The Effect of Schooling on Mortality: New Evidence From 50,000 Swedish Twins," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1135-1168, August.
    11. Jo Mhairi Hale, 2017. "Cognitive Disparities: The Impact of the Great Depression and Cumulative Inequality on Later-Life Cognitive Function," Demography, Springer;Population Association of America (PAA), vol. 54(6), pages 2125-2158, December.
    12. Anna Baranowska-Rataj & Xavier de Luna & Anneli Ivarsson, 2016. "Does the number of siblings affect health in midlife? Evidence from the Swedish Prescribed Drug Register," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(43), pages 1259-1302.
    13. Kathryn Anderson & James Foster & David Frisvold, 2004. "Investing in Health: The Long-Term Impact of Head Start," Vanderbilt University Department of Economics Working Papers 0426, Vanderbilt University Department of Economics.
    14. Breitkopf, Laura & Chowdhury, Shyamal K. & Priyam, Shambhavi & Schildberg-Hörisch, Hannah & Sutter, Matthias, 2020. "Do economic preferences of children predict behavior?," DICE Discussion Papers 342, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    15. Molly A. Martin & Margaret Gough Courtney & Adam M. Lippert, 2022. "The Risks and Consequences of Skipping Meals for Low-Income Mothers," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(6), pages 2613-2644, December.
    16. Robert Stelter & David de la Croix & Mikko Myrskylä, 2020. "Leaders And Laggards In Life Expectancy Among European Scholars From The Sixteenth To The Early Twentieth Century," LIDAM Discussion Papers IRES 2020024, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    17. Hui Zheng & Jonathan Dirlam & Paola Echave, 2021. "Divergent Trends in the Effects of Early Life Factors on Adult Health," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(5), pages 1119-1148, October.
    18. Zai Liang & Feinuo Sun, 2020. "The lasting impact of parental migration on children's education and health outcomes: The case of China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(9), pages 217-244.
    19. Ryan Masters & Robert Hummer & Daniel Powers & Audrey Beck & Shih-Fan Lin & Brian Finch, 2014. "Long-Term Trends in Adult Mortality for U.S. Blacks and Whites: An Examination of Period- and Cohort-Based Changes," Demography, Springer;Population Association of America (PAA), vol. 51(6), pages 2047-2073, December.
    20. Elizabeth M. Lawrence & Elisabeth Root & Stefanie Mollborn, 2015. "Residential mobility in early childhood," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(32), pages 939-950.

    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:eee:socmed:v:177:y:2017:i:c:p:100-109. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.