IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i7p2291-d338411.html
   My bibliography  Save this article

Predictive Validity of a New Instrumental Activities of Daily Living Scale for Detecting the Incidence of Functional Disability among Community-Dwelling Older Japanese Adults: A Prospective Cohort Study

Author

Listed:
  • Keitaro Makino

    (Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan)

  • Sangyoon Lee

    (Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan)

  • Seongryu Bae

    (Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan)

  • Yohei Shinkai

    (Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan)

  • Ippei Chiba

    (Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan)

  • Hiroyuki Shimada

    (Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan)

Abstract

We examined the predictive validity of a newly developed scale—the National Center for Geriatrics and Gerontology Activities of Daily Living (NCGG-ADL)—to measure instrumental activities of daily living (IADL) ability. We tested the scale for detecting new incidences of functional disability among community-dwelling older Japanese adults. Participants were 2708 older adults (mean age = 79.0 years, 51.6% women) living in the community who had no functional decline at baseline. We assessed IADL ability using the NCGG-ADL scale, comprising 13 self-report questions. Next, we assessed their functional disability monthly for 24 months, based on the national long-term care insurance (LTCI) system. Among all participants, 430 (15.9%) had an IADL limitation at baseline, and 289 (10.7%) were newly certified as functionally disabled. Participants scoring ≤ 12 of 13 points in the NCGG-ADL showed a significantly higher risk of functional disability than did those scoring 13 points, even after adjusting for covariates (hazard ratio [95% confidence interval] = 1.58 [1.19–2.09]). We thus validated the NCGG-ADL as a screening tool for assessing the risk of functional disability among community-dwelling older Japanese adults. We conclude that IADL limitations, as measured by the NCGG-ADL, could be useful predictors of functional disability.

Suggested Citation

  • Keitaro Makino & Sangyoon Lee & Seongryu Bae & Yohei Shinkai & Ippei Chiba & Hiroyuki Shimada, 2020. "Predictive Validity of a New Instrumental Activities of Daily Living Scale for Detecting the Incidence of Functional Disability among Community-Dwelling Older Japanese Adults: A Prospective Cohort Stu," IJERPH, MDPI, vol. 17(7), pages 1-9, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:7:p:2291-:d:338411
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/7/2291/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/7/2291/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Freedman, Vicki A. & Martin, Linda G. & Schoeni, Robert F. & Cornman, Jennifer C., 2008. "Declines in late-life disability: The role of early- and mid-life factors," Social Science & Medicine, Elsevier, vol. 66(7), pages 1588-1602, April.
    2. Hyuma Makizako & Hiroyuki Shimada & Takehiko Doi & Kota Tsutsumimoto & Sangyoon Lee & Ryo Hotta & Sho Nakakubo & Kazuhiro Harada & Sungchul Lee & Seongryu Bae & Kenji Harada & Takao Suzuki, 2015. "Cognitive Functioning and Walking Speed in Older Adults as Predictors of Limitations in Self-Reported Instrumental Activity of Daily Living: Prospective Findings from the Obu Study of Health Promotion," IJERPH, MDPI, vol. 12(3), pages 1-12, 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. 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.
    2. Szanton, Sarah L. & Thorpe, Roland J. & Whitfield, Keith, 2010. "Life-course financial strain and health in African-Americans," Social Science & Medicine, Elsevier, vol. 71(2), pages 259-265, July.
    3. Samir KC & Harold Lentzner, 2010. "The effect of education on adult mortality and disability: a global perspective," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 8(1), pages 201-235.
    4. Noghanibehambari, Hamid & Engelman, Michal, 2022. "Social insurance programs and later-life mortality: Evidence from new deal relief spending," Journal of Health Economics, Elsevier, vol. 86(C).
    5. Nicolas Sirven, 2012. "On the Socio-Economic Determinants of Frailty: Findings from Panel and Retrospective Data from SHARE," Working Papers DT52, IRDES institut for research and information in health economics, revised Dec 2012.
    6. Linda G. Martin & Qiushi Feng & Robert F. Schoeni & Yi Zeng, 2014. "Trends in Functional and Activity Limitations among Chinese Oldest-Old, 1998 to 2008," Population and Development Review, The Population Council, Inc., vol. 40(3), pages 475-495, September.
    7. Linda G. Martin & Zachary Zimmer & Jinkook Lee, 2017. "Foundations of Activity of Daily Living Trajectories of Older Americans," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 72(1), pages 129-139.
    8. Schimmel Hyde Jody & Stapleton David C., 2017. "Using the Health and Retirement Study for Disability Policy Research: A Review," Forum for Health Economics & Policy, De Gruyter, vol. 20(2), pages 1-12, December.
    9. Ko, Pei-Chun & Yeung, Wei-Jun Jean, 2019. "Childhood conditions and productive aging in China," Social Science & Medicine, Elsevier, vol. 229(C), pages 60-69.
    10. Chen, Cynthia & Lim, Jue Tao & Chia, Ngee Choon & Wang, Lijia & Tysinger, Bryan & Zissimopoulos, Julie & Chong, Ming Zhe & Wang, Zhe & Koh, Gerald Choon Huat & Yuan, Jian-Min & Tan, Kelvin Bryan & Chi, 2019. "The long-term impact of functional disability on hospitalization spending in Singapore," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    11. Zachary Zimmer & Heidi Hanson & Ken Smith, 2016. "Childhood socioeconomic status, adult socioeconomic status, and old-age health trajectories," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(10), pages 285-320.
    12. Eggink, Evelien & Ras, Michiel & Woittiez, Isolde, 2017. "Dutch long-term care use in an ageing population," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 63-70.
    13. Kim, Jinyoung & Miech, Richard, 2009. "The Black-White difference in age trajectories of functional health over the life course," Social Science & Medicine, Elsevier, vol. 68(4), pages 717-725, February.
    14. Bowen, Mary Elizabeth, 2009. "Childhood socioeconomic status and racial differences in disability: Evidence from the Health and Retirement Study (1998-2006)," Social Science & Medicine, Elsevier, vol. 69(3), pages 433-441, August.
    15. Lorenti, Angelo & Dudel, Christian & Hale, Jo Mhairi & Myrskylä, Mikko, 2020. "Working and disability expectancies at older ages: the role of childhood circumstances and education," LSE Research Online Documents on Economics 106194, London School of Economics and Political Science, LSE Library.
    16. Lee, Min-Ah, 2011. "Disparity in disability between native-born non-Hispanic white and foreign-born Asian older adults in the United States: Effects of educational attainment and age at immigration," Social Science & Medicine, Elsevier, vol. 72(8), pages 1249-1257, April.
    17. Jennifer Montez & Mark Hayward, 2014. "Cumulative Childhood Adversity, Educational Attainment, and Active Life Expectancy Among U.S. Adults," Demography, Springer;Population Association of America (PAA), vol. 51(2), pages 413-435, April.
    18. Francesca Borgonovi & Artur Pokropek, 2016. "Education and Self-Reported Health: Evidence from 23 Countries on the Role of Years of Schooling, Cognitive Skills and Social Capital," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-16, February.
    19. Natalia Wołoszyn & Joanna Grzegorczyk & Agnieszka Wiśniowska-Szurlej & Justyna Kilian & Andrzej Kwolek, 2020. "Psychophysical Health Factors and Its Correlations in Elderly Wheelchair Users Who Live in Nursing Homes," IJERPH, MDPI, vol. 17(5), pages 1-16, March.

    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:17:y:2020:i:7:p:2291-:d:338411. 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.