IDEAS home Printed from https://ideas.repec.org/a/dem/demres/v50y2024i26.html
   My bibliography  Save this article

The importance of education for understanding variability of dementia onset in the United States

Author

Listed:
  • Hyungmin Cha

    (University of Texas at Austin)

  • Mateo Farina

    (University of Southern California)

  • Chi-Tsun Chiu

    (Academia Sinica)

  • Mark D. Hayward

    (University of Texas at Austin)

Abstract

Background: Greater levels of education are associated with lower risk of dementia, but less is known about how education is also associated with the compression of dementia incidence. Objective: We extend the literature on morbidity compression by evaluating whether increased levels of education are associated with greater dementia compression. We evaluate these patterns across race and gender groups. Methods: We use the Health and Retirement Study (2000–2016), a nationally representative longitudinal study of older adults in the United States. To evaluate the onset and compression of dementia across education groups, we examine the age-specific distribution of dementia events, identifying the modal age of onset and the standard deviation above the mode (a measure of compression). Results: While the modal age of onset is around 85 years among adults with a college degree, the modal age for adults with less than a high school education occurs before age 65 – at least a 20-year difference. The standard deviation of dementia onset is about three times greater for adults with less than a high school education compared to adults with a college degree. Patterns were consistent across race and gender groups. Conclusions: This research highlights the variability of dementia experiences in the older population by documenting differences in longevity without dementia and compression of dementia onset among more educated adults and less educated adults. Contribution: We incorporate conceptual insights from the life span variability and compression literature to better understand education–dementia disparities in both the postponement and uncertainty of dementia onset in the US population.

Suggested Citation

  • Hyungmin Cha & Mateo Farina & Chi-Tsun Chiu & Mark D. Hayward, 2024. "The importance of education for understanding variability of dementia onset in the United States," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 50(26), pages 733-762.
  • Handle: RePEc:dem:demres:v:50:y:2024:i:26
    DOI: 10.4054/DemRes.2024.50.26
    as

    Download full text from publisher

    File URL: https://www.demographic-research.org/volumes/vol50/26/50-26.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.4054/DemRes.2024.50.26?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. James J. Heckman & Paul A. LaFontaine, 2010. "The American High School Graduation Rate: Trends and Levels," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 244-262, May.
    2. Kenneth Land & Jack Guralnik & Dan Blazer, 1994. "Estimating Increment-Decrement Life Tables with Multiple Covariates from Panel Data: The Case of Active Life Expectancy," Demography, Springer;Population Association of America (PAA), vol. 31(2), pages 297-319, May.
    3. Thomas Bauer & Silja Göhlmann & Mathias Sinning, 2007. "Gender differences in smoking behavior," Health Economics, John Wiley & Sons, Ltd., vol. 16(9), pages 895-909, September.
    4. James W. Vaupel, 2010. "Biodemography of human ageing," Nature, Nature, vol. 464(7288), pages 536-542, March.
    5. Ezra Fishman, 2017. "Risk of Developing Dementia at Older Ages in the United States," Demography, Springer;Population Association of America (PAA), vol. 54(5), pages 1897-1919, October.
    6. Väinö Kannisto, 2000. "Measuring the compression of mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 3(6).
    7. Dustin Brown & Mark Hayward & Jennifer Montez & Robert Hummer & Chi-Tsun Chiu & Mira Hidajat, 2012. "The Significance of Education for Mortality Compression in the United States," Demography, Springer;Population Association of America (PAA), vol. 49(3), pages 819-840, August.
    8. Montez, J.K. & Zajacova, A., 2014. "Why is life expectancy declining among low-educated women in the United States?," American Journal of Public Health, American Public Health Association, vol. 104(10), pages 5-7.
    9. Siu Cheung & Jean-Marie Robine & Edward Tu & Graziella Caselli, 2005. "Three dimensions of the survival curve: horizontalization, verticalization, and longevity extension," Demography, Springer;Population Association of America (PAA), vol. 42(2), pages 243-258, May.
    10. Montez, J.K. & Zajacova, A., 2013. "Trends in mortality risk by education level and cause of death among US White Women from 1986 to 2006," American Journal of Public Health, American Public Health Association, vol. 103(3), pages 473-479.
    11. Vladimir Canudas-Romo, 2008. "The modal age at death and the shifting mortality hypothesis," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 19(30), pages 1179-1204.
    12. Ryan D. Edwards & Shripad Tuljapurkar, 2005. "Inequality in Life Spans and a New Perspective on Mortality Convergence Across Industrialized Countries," Population and Development Review, The Population Council, Inc., vol. 31(4), pages 645-674, December.
    13. Jennifer Karas Montez & Anna Zajacova & Mark D. Hayward & Steven H. Woolf & Derek Chapman & Jason Beckfield, 2019. "Educational Disparities in Adult Mortality Across U.S. States: How Do They Differ, and Have They Changed Since the Mid-1980s?," Demography, Springer;Population Association of America (PAA), vol. 56(2), pages 621-644, April.
    14. Liming Cai & Mark D. Hayward & Yasuhiko Saito & James Lubitz & Aaron Hagedorn & Eileen Crimmins, 2010. "Estimation of multi-state life table functions and their variability from complex survey data using the SPACE Program," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(6), pages 129-158.
    15. Eric Stallard, 2016. "Compression of Morbidity and Mortality: New Perspectives," North American Actuarial Journal, Taylor & Francis Journals, vol. 20(4), pages 341-354, October.
    16. 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.
    17. Guochao Zhong & Yi Wang & Yong Zhang & Jeff Jianfei Guo & Yong Zhao, 2015. "Smoking Is Associated with an Increased Risk of Dementia: A Meta-Analysis of Prospective Cohort Studies with Investigation of Potential Effect Modifiers," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-23, March.
    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. 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.
    2. Michal Engelman & Hal Caswell & Emily Agree, 2014. "Why do lifespan variability trends for the young and old diverge? A perturbation analysis," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(48), pages 1367-1396.
    3. Isaac Sasson, 2016. "Trends in Life Expectancy and Lifespan Variation by Educational Attainment: United States, 1990–2010," Demography, Springer;Population Association of America (PAA), vol. 53(2), pages 269-293, April.
    4. Duncan Gillespie & Meredith Trotter & Shripad Tuljapurkar, 2014. "Divergence in Age Patterns of Mortality Change Drives International Divergence in Lifespan Inequality," Demography, Springer;Population Association of America (PAA), vol. 51(3), pages 1003-1017, June.
    5. Alyson Raalte & Hal Caswell, 2013. "Perturbation Analysis of Indices of Lifespan Variability," Demography, Springer;Population Association of America (PAA), vol. 50(5), pages 1615-1640, October.
    6. Lucia Zanotto & Vladimir Canudas-Romo & Stefano Mazzuco, 2021. "A Mixture-Function Mortality Model: Illustration of the Evolution of Premature Mortality," European Journal of Population, Springer;European Association for Population Studies, vol. 37(1), pages 1-27, March.
    7. Gonzaga, Marcos Roberto & Queiroz, Bernardo L & Lima, Everton, 2017. "Compression of mortality: the evolution in the variability in the age of death in Latin America," OSF Preprints pdnfk, Center for Open Science.
    8. 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.
    9. Viorela Diaconu & Nadine Ouellette & Robert Bourbeau, 2020. "Modal lifespan and disparity at older ages by leading causes of death: a Canada-U.S. comparison," Journal of Population Research, Springer, vol. 37(4), pages 323-344, December.
    10. Iñaki Permanyer & Jeroen Spijker & Amand Blanes & Elisenda Renteria, 2018. "Longevity and Lifespan Variation by Educational Attainment in Spain: 1960–2015," Demography, Springer;Population Association of America (PAA), vol. 55(6), pages 2045-2070, December.
    11. Nadine Ouellette & Robert Bourbeau, 2011. "Changes in the age-at-death distribution in four low mortality countries: A nonparametric approach," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(19), pages 595-628.
    12. Dustin Brown & Mark Hayward & Jennifer Montez & Robert Hummer & Chi-Tsun Chiu & Mira Hidajat, 2012. "The Significance of Education for Mortality Compression in the United States," Demography, Springer;Population Association of America (PAA), vol. 49(3), pages 819-840, August.
    13. Jean-Marie Robine & Siu Lan Karen Cheung & Shiro Horiuchi, 2010. "Arthur Roger Thatcher's contributions to longevity research," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(18), pages 539-548.
    14. Joseph T. Lariscy & Claudia Nau & Glenn Firebaugh & Robert A. Hummer, 2016. "Hispanic-White Differences in Lifespan Variability in the United States," Demography, Springer;Population Association of America (PAA), vol. 53(1), pages 215-239, February.
    15. Patrick Meyer & Gregory Ponthiere, 2020. "Human lifetime entropy in a historical perspective (1750–2014)," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 14(1), pages 129-167, January.
    16. Alyson van Raalte & Pekka Martikainen & Mikko Myrskylä, 2014. "Lifespan Variation by Occupational Class: Compression or Stagnation Over Time?," Demography, Springer;Population Association of America (PAA), vol. 51(1), pages 73-95, February.
    17. Michal Engelman & Vladimir Canudas‐Romo & Emily M. Agree, 2010. "The Implications of Increased Survivorship for Mortality Variation in Aging Populations," Population and Development Review, The Population Council, Inc., vol. 36(3), pages 511-539, September.
    18. Dalkhat M. Ediev, 2013. "Decompression of Period Old-Age Mortality: When Adjusted for Bias, the Variance in the Ages at Death Shows Compression," Mathematical Population Studies, Taylor & Francis Journals, vol. 20(3), pages 137-154, July.
    19. Chiara Gigliarano & Ugofilippo Basellini & Marco Bonetti, 2017. "Longevity and concentration in survival times: the log-scale-location family of failure time models," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(2), pages 254-274, April.
    20. Seaman, Rosie & Riffe, Tim & Leyland, Alastair H. & Popham, Frank & van Raalte, Alyson, 2019. "The increasing lifespan variation gradient by area-level deprivation: A decomposition analysis of Scotland 1981–2011," Social Science & Medicine, Elsevier, vol. 230(C), pages 147-157.

    More about this item

    Keywords

    education; dementia; lifespan variability; morbidity compression; modal age;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

    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:dem:demres:v:50:y:2024:i:26. 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: Editorial Office (email available below). General contact details of provider: https://www.demogr.mpg.de/ .

    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.