IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0202631.html
   My bibliography  Save this article

Morbidity compression in myocardial infarction 2006 to 2015 in terms of changing rates and age at occurrence: A longitudinal study using claims data from Germany

Author

Listed:
  • Siegfried Geyer
  • Sveja Eberhard
  • Bernhard Magnus W Schmidt
  • Jelena Epping
  • Juliane Tetzlaff

Abstract

Background: According to James Fries morbidity compression is present if morbidity rates are decreasing to a larger extent than mortality rates. Compression also occurs if age at onset is increasing at a faster pace than age at death. These two variants of the compression hypothesis were formulated as a population concept. Compression has seldom been studied with a specific disease as application. Methods: Morbidity compression was examined in terms of myocardial infarction (MI) by using German claims data covering the years 2006 to 2015. The findings are based on an annual case number of about 2 m women and men aged 18 years and older. Analyses were performed by means of proportional hazards regression and by using linear regression. Results: Decreases of morbidity rates were more pronounced than those of mortality. For men, the hazard ratio for contracting MI in 2015 as compared to 2006 was hr = 0.66 and hr = 0.71 for the female population. The respective results for mortality were hr = 0.75 in men and hr = 1.0 in women. They can be interpreted in favor of morbidity compression. For the subgroup of women and men with MI, changes of onset age revealed marked gender differences. For 2015 as compared with 2006, age at MI-occurrence in men increased by 10.5 months as compared to an increase of 10.4 months for age at death. In women changes were smaller and statistically not significant. The findings referring to women have to be interpreted against the backdrop of higher onset age and higher age at death than in men. Conclusions: Taken together, morbidity compression has occurred in terms of decreasing MI-rates as well as in terms of increased onset age in men. It can be concluded that both processes have led to an improvement of healthy lifetime. Decreasing morbidity rates in women are also pointing towards morbidity compression, a finding that is not complemented by changes of onset age. Our data are demonstrating that morbidity rates and age at onset may vary independently. From this perspective morbidity compression is a multi-faceted phenomenon.

Suggested Citation

  • Siegfried Geyer & Sveja Eberhard & Bernhard Magnus W Schmidt & Jelena Epping & Juliane Tetzlaff, 2018. "Morbidity compression in myocardial infarction 2006 to 2015 in terms of changing rates and age at occurrence: A longitudinal study using claims data from Germany," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-19, August.
    • Handle: RePEc:plo:pone00:0202631
    DOI: 10.1371/journal.pone.0202631
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0202631
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0202631&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0202631?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. Doblhammer, Gabriele & Kytir, Josef, 2001. "Compression or expansion of morbidity? Trends in healthy-life expectancy in the elderly Austrian population between 1978 and 1998," Social Science & Medicine, Elsevier, vol. 52(3), pages 385-391, February.
    2. Roelfs, David J. & Shor, Eran & Davidson, Karina W. & Schwartz, Joseph E., 2011. "Losing life and livelihood: A systematic review and meta-analysis of unemployment and all-cause mortality," Social Science & Medicine, Elsevier, vol. 72(6), pages 840-854, March.
    3. Hiram Beltran-Sanchez & Samuel Preston & Vladimir Canudas-Romo, 2008. "An integrated approach to cause-of-death analysis: cause-deleted life tables and decompositions of life expectancy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 19(35), pages 1323-1350.
    4. Xiao Dong & Brandon Milholland & Jan Vijg, 2016. "Evidence for a limit to human lifespan," Nature, Nature, vol. 538(7624), pages 257-259, October.
    5. Laura Romeu Gordo, 2011. "Compression of morbidity and the labour supply of older people," Applied Economics, Taylor & Francis Journals, vol. 43(4), pages 503-513.
    6. Juliane Tetzlaff & Denise Muschik & Jelena Epping & Sveja Eberhard & Siegfried Geyer, 2017. "Expansion or compression of multimorbidity? 10-year development of life years spent in multimorbidity based on health insurance claims data of Lower Saxony, Germany," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(6), pages 679-686, July.
    7. Molloy, Gerard John & Stamatakis, Emmanuel & Randall, Gemma & Hamer, Mark, 2009. "Marital status, gender and cardiovascular mortality: Behavioural, psychological distress and metabolic explanations," Social Science & Medicine, Elsevier, vol. 69(2), pages 223-228, July.
    8. repec:dau:papers:123456789/10510 is not listed on IDEAS
    9. James W. Vaupel, 2010. "Biodemography of human ageing," Nature, Nature, vol. 464(7288), pages 536-542, March.
    10. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    11. Ninoa Malki & Ilona Koupil & Sandra Eloranta & Caroline E Weibull & Sanna Tiikkaja & Erik Ingelsson & Pär Sparén, 2014. "Temporal Trends in Incidence of Myocardial Infarction and Ischemic Stroke by Socioeconomic Position in Sweden 1987–2010," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-8, August.
    12. Jordan Silberman & Chun Wang & Shawn T Mason & Steven M Schwartz & Matthew Hall & Jason L Morrissette & Xin M Tu & Janet Greenhut, 2015. "The Avalanche Hypothesis and Compression of Morbidity: Testing Assumptions through Cohort-Sequential Analysis," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-16, May.
    13. Robert W. Fogel, 2003. "Changes in the Process of Aging During the Twentieth Century: Findings and Procedures of the Early Indicators Project," NBER Working Papers 9941, National Bureau of Economic Research, Inc.
    14. Liming Cai & James Lubitz, 2007. "Was there compression of disability for older Americans from 1992 to 2003?," Demography, Springer;Population Association of America (PAA), vol. 44(3), pages 479-495, August.
    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. Nicole L. Van Der Gaag & Govert Ewout Bijwaard & Joop de Beer & Luc Bonneux, 2015. "A multistate model to project elderly disability in case of limited data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(3), pages 75-106.
    2. Kashnitsky, Ilya, 2017. "A cohort is not representative of humanity," OSF Preprints 524kg, Center for Open Science.
    3. Vladimir Canudas-Romo & Tianyu Shen & Collin Payne, 2021. "The role of reductions in old-age mortality in old-age population growth," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(44), pages 1073-1084.
    4. Pinheiro, Pedro Cisalpino & Queiroz, Bernardo L, 2018. "Regional Disparities in Brazilian Adult Mortality: an analysis using Modal Age at Death (M) and Compression of Mortality (IQR)," OSF Preprints t2ey3, Center for Open Science.
    5. Máximo Rossi & Patricia Triunfo, 2004. "El Estado de Salud del Adulto Mayor en Uruguay," Documentos de Trabajo (working papers) 1404, Department of Economics - dECON.
    6. Shor, Eran & Roelfs, David J. & Bugyi, Paul & Schwartz, Joseph E., 2012. "Meta-analysis of marital dissolution and mortality: Reevaluating the intersection of gender and age," Social Science & Medicine, Elsevier, vol. 75(1), pages 46-59.
    7. Filipe Costa Souza, 2020. "Relationships between best-practice and greatest possible life expectancies," European Journal of Ageing, Springer, vol. 17(3), pages 331-339, September.
    8. Marie-Pier Bergeron-Boucher & Marcus Ebeling & Vladimir Canudas-Romo, 2015. "Decomposing changes in life expectancy: Compression versus shifting mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(14), pages 391-424.
    9. Siegfried Geyer & Juliane Tetzlaff & Sveja Eberhard & Stefanie Sperlich & Jelena Epping, 2019. "Health inequalities in terms of myocardial infarction and all-cause mortality: a study with German claims data covering 2006 to 2015," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(3), pages 387-397, April.
    10. Darima Fotheringham & Michael A. Wiles, 2023. "The effect of implementing chatbot customer service on stock returns: an event study analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 802-822, July.
    11. Song, Wei-Ling & Uzmanoglu, Cihan, 2016. "TARP announcement, bank health, and borrowers’ credit risk," Journal of Financial Stability, Elsevier, vol. 22(C), pages 22-32.
    12. Raymundo M. Campos-Vázquez, 2013. "Efectos de los ingresos no reportados en el nivel y tendencia de la pobreza laboral en México," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 23-54, November.
    13. Stephen Brown & William Goetzmann & Bing Liang & Christopher Schwarz, 2008. "Mandatory Disclosure and Operational Risk: Evidence from Hedge Fund Registration," Journal of Finance, American Finance Association, vol. 63(6), pages 2785-2815, December.
    14. Paul W. Miller & Barry R. Chiswick, 2002. "Immigrant earnings: Language skills, linguistic concentrations and the business cycle," Journal of Population Economics, Springer;European Society for Population Economics, vol. 15(1), pages 31-57.
    15. Chul‐Woo Kwon & Peter F. Orazem & Daniel M. Otto, 2006. "Off‐farm labor supply responses to permanent and transitory farm income," Agricultural Economics, International Association of Agricultural Economists, vol. 34(1), pages 59-67, January.
    16. Jonathan Gruber & Aaron Yelowitz, 1999. "Public Health Insurance and Private Savings," Journal of Political Economy, University of Chicago Press, vol. 107(6), pages 1249-1274, December.
    17. Jean-Louis Arcand & Linguère M'Baye, 2013. "Braving the waves: the role of time and risk preferences in illegal migration from Senegal," CERDI Working papers halshs-00855937, HAL.
    18. Sandra Müllbacher & Wolfgang Nagl, 2017. "Labour supply in Austria: an assessment of recent developments and the effects of a tax reform," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(3), pages 465-486, August.
    19. Campbell, Randall C. & Nagel, Gregory L., 2016. "Private information and limitations of Heckman's estimator in banking and corporate finance research," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 186-195.
    20. Leye Li & Louise Yi Lu & Dongyue Wang, 2022. "External labour market competitions and stock price crash risk: evidence from exposures to competitor CEOs’ award‐winning events," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1421-1460, April.

    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:pone00:0202631. 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.