IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i7p3738-d529496.html
   My bibliography  Save this article

Physical and Psychological Factors Contributing to Incidental Falls in Older Adults Who Perceive Themselves as Unhealthy: A Cross-Sectional Study

Author

Listed:
  • Mikyong Byun

    (BK21FOUR R&E Center for Learning Health Systems, College of Nursing, Korea University, Anam-dong, Seongbuk-Gu, Seoul 02841, Korea
    Department of Nursing Science, College of Medicine, Catholic Kwandong University, 24 Beomil-ro, 579beon-gil, Gangneung-si, Gangwon-do 25601, Korea
    These authors equally contributed on this work.)

  • Jiyeon Kim

    (BK21FOUR R&E Center for Learning Health Systems, College of Nursing, Korea University, Anam-dong, Seongbuk-Gu, Seoul 02841, Korea
    These authors equally contributed on this work.)

  • Ji Eun Kim

    (Department of Neurology, Gangneung Asan Hospital, University of Ulsan College of Medicine, 38 Bangdong-gil, Sacheon-myeon, Gangneung-si, Gangwon-do 25440, Korea)

Abstract

Falls have become one of the common causes of morbidity and mortality in the elderly. Advanced age is a strong predictor of falls. Additionally, those who perceive themselves as unhealthy are more likely to suffer from incidental falls in accordance with aging. We aimed to compare individual, physical, and psychological factors between older adults with and without a fall history. Then, we tried to identify physical and psychological variables associated with falls by controlling for individual characteristics. We analyzed public data from the 2017 National Survey of Older Persons in South Korea. Seniors aged 65 years and over who considered themselves in poor health status were eligible. A total of 2765 women and 1280 men ( n = 4045) were enrolled, and 940 adults suffered a fall within a year (the average number of falls was 2.5). We applied individual variable-adjusted models and discovered that hearing discomfort (odds ratio (OR) 1.30, 95% confidence interval (CI) 1.09–1.55), limited activities of daily living (ADL) (OR 1.40, 95% CI 1.13–1.74), limited instrumental activities of daily living (IADL) (OR 1.34, 95% CI 1.13–1.61), and depression (OR 1.44, 95% CI 1.23–1.69) significantly increased risk for falls on multivariate logistic regression. Our findings suggest that hearing discomfort, limited ADL/IADL, and depression need to be addressed observantly to prevent falls in the elderly who consider themselves unhealthy.

Suggested Citation

  • Mikyong Byun & Jiyeon Kim & Ji Eun Kim, 2021. "Physical and Psychological Factors Contributing to Incidental Falls in Older Adults Who Perceive Themselves as Unhealthy: A Cross-Sectional Study," IJERPH, MDPI, vol. 18(7), pages 1-12, April.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:7:p:3738-:d:529496
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/7/3738/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/7/3738/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Taekyoung Kim & Sang D Choi & Shuping Xiong, 2020. "Epidemiology of fall and its socioeconomic risk factors in community-dwelling Korean elderly," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-14, June.
    2. Christel Borg & Ingalill R Hallberg & Kerstin Blomqvist, 2006. "Life satisfaction among older people (65+) with reduced self‐care capacity: the relationship to social, health and financial aspects," Journal of Clinical Nursing, John Wiley & Sons, vol. 15(5), pages 607-618, May.
    3. Mossey, J.M. & Shapiro, E., 1982. "Self-rated health: a predictor of mortality among the elderly," American Journal of Public Health, American Public Health Association, vol. 72(8), pages 800-808.
    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. Tho Nguyen & Ladda Thiamwong & Qian Lou & Rui Xie, 2024. "Unveiling Fall Triggers in Older Adults: A Machine Learning Graphical Model Analysis," Mathematics, MDPI, vol. 12(9), pages 1-18, April.

    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. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.
    2. 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.
    3. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Department of Economics - Working Papers Series 1092, The University of Melbourne.
    4. Hu, Shu & Das, Dhiman, 2019. "Quality of life among older adults in China and India: Does productive engagement help?," Social Science & Medicine, Elsevier, vol. 229(C), pages 144-153.
    5. 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.
    6. Timothy J. Halliday, 2008. "Heterogeneity, state dependence and health," Econometrics Journal, Royal Economic Society, vol. 11(3), pages 499-516, November.
    7. Xi Pan & Rose Ward, 2015. "Self-management and Self-rated Health Among Middle-aged and Older Adults with Type 2 Diabetes in China: A Structural Equation Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(1), pages 247-260, January.
    8. Liliya Leopold, 2019. "Health Measurement and Health Inequality Over the Life Course: A Comparison of Self-rated Health, SF-12, and Grip Strength," Demography, Springer;Population Association of America (PAA), vol. 56(2), pages 763-784, April.
    9. Timothy Halliday, 2006. "Income Risk and Health," Working Papers 200612, University of Hawaii at Manoa, Department of Economics.
    10. Timothy Halliday, 2006. "The Impact of Aggregate and Idiosyncratic Income Shocks on Health Outcomes: Evidence from the PSID," Working Papers 200606, University of Hawaii at Manoa, Department of Economics.
    11. Zhang, Wei & Ta, Van M., 2009. "Social connections, immigration-related factors, and self-rated physical and mental health among Asian Americans," Social Science & Medicine, Elsevier, vol. 68(12), pages 2104-2112, June.
    12. Chunshan Zhou & Jing Chen & Shaojian Wang, 2018. "Does Migrant Status and Household Registration Matter? Examining the Effects of City Size on Self-Rated Health," Sustainability, MDPI, vol. 10(7), pages 1-15, June.
    13. García-Muñoz, Teresa & Neuman, Shoshana & Neuman, Tzahi, 2014. "Health Risk Factors among the Older European Populations: Personal and Country Effects," IZA Discussion Papers 8529, Institute of Labor Economics (IZA).
    14. Davillas, Apostolos & de Oliveira, Victor Hugo & Jones, Andrew M., 2023. "Is inconsistent reporting of self-assessed health persistent and systematic? Evidence from the UKHLS," Economics & Human Biology, Elsevier, vol. 49(C).
    15. Alois Guger & Silvia Rocha-Akis, 2016. "Umverteilung durch den Staat in Österreich," WIFO Monatsberichte (monthly reports), WIFO, vol. 89(5), pages 329-345, May.
    16. Gudrun Biffl & Joseph E. Isaac, 2007. "The Challenge of Ensuring a Healthy Workforce in an Ageing Society. Austria and Australia in Comparison," Austrian Economic Quarterly, WIFO, vol. 12(3), pages 144-157, September.
    17. Jiangping Li & Lijun Dong & Danian Tian & Yu Zhao & Huifang Yang & Xiaoyu Zhi & Lingqin Zhu, 2018. "Association between pesticide exposure intensity and self-rated health among greenhouse vegetable farmers in Ningxia, China," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-12, December.
    18. Prus, Steven G., 2011. "Comparing social determinants of self-rated health across the United States and Canada," Social Science & Medicine, Elsevier, vol. 73(1), pages 50-59, July.
    19. Amy Y. Zhang & Lucy C. Yu & Jianping Yuan & Zhifu Tong & Chaoyuan Yang & Stephen E. Foreman, 1997. "Family and Cultural Correlates of Depression Among Chinese Elderly," International Journal of Social Psychiatry, , vol. 43(3), pages 199-212, September.
    20. Xuanping Zhang & Sean-Shong Hwang, 2007. "The micro consequences of macro-level social transition: how did Russians survive in the 1990s?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(2), pages 337-360, June.

    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:7:p:3738-:d:529496. 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.