IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i1p351-d475097.html
   My bibliography  Save this article

Time-Varying Insomnia Symptoms and Incidence of Cognitive Impairment and Dementia among Older US Adults

Author

Listed:
  • Nicholas V. Resciniti

    (Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29201, USA)

  • Valerie Yelverton

    (Department of Health Services Policy & Management, Arnold School of Public Health, University of South Carolina, Columbia, SC 292901, USA)

  • Bezawit E. Kase

    (Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29201, USA)

  • Jiajia Zhang

    (Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29201, USA)

  • Matthew C. Lohman

    (Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29201, USA)

Abstract

There is conflicting evidence regarding the association between insomnia and the onset of mild cognitive impairment (MCI) or dementia. This study aimed to evaluate if time-varying insomnia is associated with the development of MCI and dementia. Data from the Health and Retirement Study ( n = 13,833) from 2002 to 2014 were used (59.4% female). The Brief Insomnia Questionnaire was used to identify insomnia symptoms which were compiled in an insomnia severity index, ranging from 0 to 4. In analysis, participants’ symptoms could vary from wave-to-wave. Dementia was defined using results from the Health and Retirement Study (HRS) global cognitive assessment tool. Respondents were classified as either having dementia, MCI, or being cognitively healthy. Cox proportional hazards models with time-dependent exposure using the counting process (start-stop time) were used for analysis. For each one-unit increase in the insomnia symptom index, there was a 5-percent greater hazard of MCI (HR = 1.05; 95% CI: 1.04–1.06) and dementia (HR = 1.05; 95% CI: 1.03–1.05), after fully adjusting. Using a nationally representative sample of adults age 51 and older, this study found that time-varying insomnia symptoms are associated with risk of MCI and dementia. This highlights the importance of identifying sleep disturbances and their change over time as potentially important risk factors for MCI and dementia.

Suggested Citation

  • Nicholas V. Resciniti & Valerie Yelverton & Bezawit E. Kase & Jiajia Zhang & Matthew C. Lohman, 2021. "Time-Varying Insomnia Symptoms and Incidence of Cognitive Impairment and Dementia among Older US Adults," IJERPH, MDPI, vol. 18(1), pages 1-9, January.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:1:p:351-:d:475097
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/1/351/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/1/351/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eileen M. Crimmins & Jung Ki Kim & Kenneth M. Langa & David R. Weir, 2011. "Assessment of Cognition Using Surveys and Neuropsychological Assessment: The Health and Retirement Study and the Aging, Demographics, and Memory Study," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(suppl_1), pages 162-171.
    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. Rashmita Basu, 2013. "Willingness-to-pay to prevent Alzheimer’s disease: a contingent valuation approach," International Journal of Health Economics and Management, Springer, vol. 13(3), pages 233-245, December.
    2. 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.
    3. McCluney, Courtney L. & Schmitz, Lauren L. & Hicken, Margaret T. & Sonnega, Amanda, 2018. "Structural racism in the workplace: Does perception matter for health inequalities?," Social Science & Medicine, Elsevier, vol. 199(C), pages 106-114.
    4. Angrisani, Marco & Burke, Jeremy & Kapteyn, Arie, 2023. "Cognitive ability, cognitive aging, and debt accumulation," Journal of Banking & Finance, Elsevier, vol. 148(C).
    5. Padmaja Ayyagari & David Frisvold, 2015. "The Impact of Social Security Income on Cognitive Function at Older Ages," NBER Working Papers 21484, National Bureau of Economic Research, Inc.
    6. Zhao, Yuejun & Inder, Brett & Kim, Jun Sung, 2021. "Spousal bereavement and the cognitive health of older adults in the US: New insights on channels, single items, and subjective evidence," Economics & Human Biology, Elsevier, vol. 43(C).
    7. Giustinelli, Pamela & Manski, Charles F. & Molinari, Francesca, 2022. "Tail and center rounding of probabilistic expectations in the Health and Retirement Study," Journal of Econometrics, Elsevier, vol. 231(1), pages 265-281.
    8. Osea Giuntella & Wei Han & Fabrizio Mazzonna, 2017. "Circadian Rhythms, Sleep, and Cognitive Skills: Evidence From an Unsleeping Giant," Demography, Springer;Population Association of America (PAA), vol. 54(5), pages 1715-1742, October.
    9. David Weir & Kenneth Langa, 2018. "How Well Can Medicare Records Identify Seniors with Cognitive Impairment Needing Assistance with Financial Management?," Working Papers wp391, University of Michigan, Michigan Retirement Research Center.
    10. Péter Hudomiet & Robert J. Willis, 2013. "Estimating Second Order Probability Beliefs from Subjective Survival Data," Decision Analysis, INFORMS, vol. 10(2), pages 152-170, June.
    11. Jo M. Hale & Daniel C. Schneider & Neil K. Mehta & Mikko Myrskylä, 2022. "Understanding cognitive impairment in the U.S. through the lenses of intersectionality and (un)conditional cumulative (dis)advantage," MPIDR Working Papers WP-2022-029, Max Planck Institute for Demographic Research, Rostock, Germany.
    12. Liu, Hui & Chopik, William J. & Shrout, M. Rosie & Wang, Juwen, 2024. "A national longitudinal dyadic analysis of spousal education and cognitive decline in the United States," Social Science & Medicine, Elsevier, vol. 343(C).
    13. Luo, Ye & Pan, Xi & Zhang, Zhenmei, 2019. "Productive activities and cognitive decline among older adults in China: Evidence from the China Health and Retirement Longitudinal Study," Social Science & Medicine, Elsevier, vol. 229(C), pages 96-105.
    14. Marc A. Garcia & Joseph Saenz & Brian Downer & Rebeca Wong, 2018. "The role of education in the association between race/ethnicity/nativity, cognitive impairment, and dementia among older adults in the United States," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(6), pages 155-168.
    15. Yannick Stephan & Angelina R. Sutin & Antonio Terracciano, 2020. "Physical activity and subjective age across adulthood in four samples," European Journal of Ageing, Springer, vol. 17(4), pages 469-476, December.
    16. Zhang, Zhenmei & Liu, Hui & Choi, Seung-won Emily, 2021. "Marital loss and risk of dementia: Do race and gender matter?," Social Science & Medicine, Elsevier, vol. 275(C).
    17. Tae‐Young Pak & Lu Fan, 2022. "Childhood experience of parental affection and financial well‐being in later life: Evidence from the Health and Retirement Study," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(4), pages 1433-1453, December.
    18. Rena, Melinda & Fancourt, Daisy & Bu, Feifei & Paul, Elise & Sonke, Jill K. & Bone, Jessica K., 2023. "Receptive and participatory arts engagement and subsequent healthy aging: Evidence from the Health and Retirement Study," Social Science & Medicine, Elsevier, vol. 334(C).
    19. Clouston, Sean A.P. & Denier, Nicole, 2017. "Mental retirement and health selection: Analyses from the U.S. Health and Retirement Study," Social Science & Medicine, Elsevier, vol. 178(C), pages 78-86.
    20. Yosuke Inoue & Annie Green Howard & Bo Qin & Aki Yazawa & Andrew Stickley & Penny Gordon-Larsen, 2019. "The association between family members’ migration and cognitive function among people left behind in China," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-11, September.

    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:gam:jijerp:v:18:y:2021:i:1:p:351-:d:475097. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.