IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v21y2024i12p1643-d1540479.html
   My bibliography  Save this article

The First Use of the Washington Group Short Set in a National Survey of Japan: Characteristics of the New Disability Measure in Comparison to an Existing Disability Measure

Author

Listed:
  • Takashi Saito

    (Department of Social Rehabilitation, Research Institute of National Rehabilitation Center for Persons with Disabilities, 4-1 Namiki, Tokorozawa 359-8555, Japan)

  • Kumiko Imahashi

    (Department of Social Rehabilitation, Research Institute of National Rehabilitation Center for Persons with Disabilities, 4-1 Namiki, Tokorozawa 359-8555, Japan)

  • Chikako Yamaki

    (Institute for Cancer Control, National Cancer Center, 5-1-1 Tsukiji, Chuou 104-0045, Japan)

Abstract

A Japanese national representative survey—the comprehensive survey of living conditions (CSLC)—included the Washington Group Short Set (WGSS) in 2022. This study aimed to characterize the WGSS in comparison to an existing disability measure (EDM), regarding the difference between disability prevalence defined by these two measures and the factors attributable to disagreements between them. A cross-sectional analysis using secondary data from the CSLC ( n = 32,212) was conducted. The disability prevalences and their ratios (WGSS to EDM) were computed overall and by demographic sub-groups. Binomial logistic regression analyses were performed to explore factors relating to disagreements that functioned to relatively lower/increase the prevalence defined by the WGSS. Consequently, the prevalences defined by the WGSS and EDM were 10.7% (95% confidence interval (CI): 10.4–11.1) and 13.1% (95%CI: 12.7–13.5), respectively. The ratios by the sub-groups were around 0.80–0.90, with the exception of the age-defined sub-group, whose ratios were 0.63 (older sub-group) to 1.23 (child sub-group). Age was the only independent factor associated with two types of disagreements: older age (odds ratios: 1.23–1.80) was associated with disagreement functioning to relatively lower the prevalence defined by the WGSS, and similarly, younger age (ORs: 1.42–2.79) increased the figure. The WGSS may be characterized as being less susceptible to the influence of aging compared to the EDM.

Suggested Citation

  • Takashi Saito & Kumiko Imahashi & Chikako Yamaki, 2024. "The First Use of the Washington Group Short Set in a National Survey of Japan: Characteristics of the New Disability Measure in Comparison to an Existing Disability Measure," IJERPH, MDPI, vol. 21(12), pages 1-19, December.
  • Handle: RePEc:gam:jijerp:v:21:y:2024:i:12:p:1643-:d:1540479
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/21/12/1643/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/21/12/1643/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Amilon, Anna & Hansen, Kasper M. & Kjær, Agnete Aslaug & Steffensen, Tinne, 2021. "Estimating disability prevalence and disability-related inequalities: Does the choice of measure matter?," Social Science & Medicine, Elsevier, vol. 272(C).
    2. Joung, Inez M. A. & van de Mheen, H. Dike & Stronks, Karien & van Poppel, Frans W. A. & Mackenbach, Johan P., 1998. "A longitudinal study of health selection in marital transitions," Social Science & Medicine, Elsevier, vol. 46(3), pages 425-435, February.
    3. Josephine E. Prynn & Sarah Polack & Islay Mactaggart & Lena Morgon Banks & Shaffa Hameed & Carlos Dionicio & Shailes Neupane & GVS Murthy & Joseph Oye & Jonathan Naber & Hannah Kuper, 2021. "Disability among Older People: Analysis of Data from Disability Surveys in Six Low- and Middle-Income Countries," IJERPH, MDPI, vol. 18(13), pages 1-13, June.
    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. Liu, Hui, 2012. "Marital dissolution and self-rated health: Age trajectories and birth cohort variations," Social Science & Medicine, Elsevier, vol. 74(7), pages 1107-1116.
    2. Roos, Eva & Burström, Bo & Saastamoinen, Peppiina & Lahelma, Eero, 2005. "A comparative study of the patterning of women's health by family status and employment status in Finland and Sweden," Social Science & Medicine, Elsevier, vol. 60(11), pages 2443-2451, June.
    3. Artazcoz, Lucia & Cortès, Imma & Borrell, Carme & Escribà-Agüir, Vicenta & Cascant, Lorena, 2011. "Social inequalities in the association between partner/marital status and health among workers in Spain," Social Science & Medicine, Elsevier, vol. 72(4), pages 600-607, February.
    4. Bünnings, Christian & Hafner, Lucas & Reif, Simon & Tauchmann, Harald, 2021. "In sickness and in health? Health shocks and relationship breakdown: Empirical evidence from Germany," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 164-190.
    5. Giammarco Alderotti & Cecilia Tomassini & Daniele Vignoli, 2022. "‘Silver splits’ in Europe: The role of grandchildren and other correlates," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(21), pages 619-652.
    6. Lorant, V. & Kunst, Anton E. & Huisman, Martijn & Bopp, Matthias & Mackenbach, Johan, 2005. "A European comparative study of marital status and socio-economic inequalities in suicide," Social Science & Medicine, Elsevier, vol. 60(11), pages 2431-2441, June.
    7. Manzoli, Lamberto & Villari, Paolo & M Pirone, Giovanni & Boccia, Antonio, 2007. "Marital status and mortality in the elderly: A systematic review and meta-analysis," Social Science & Medicine, Elsevier, vol. 64(1), pages 77-94, January.
    8. 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.
    9. Hui Liu & Zhenmei Zhang, 2013. "Disability Trends by Marital Status Among Older Americans, 1997–2010: An Examination by Gender and Race," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(1), pages 103-127, February.
    10. Dusanee Kesavayuth & Prompong Shangkhum & Vasileios Zikos, 2022. "Building physical health: What is the role of mental health?," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 457-483, April.
    11. Hui Liu & Molly Copeland & Gerald Nowak & William J. Chopik & Jeewon Oh, 2023. "Marital Status Differences in Loneliness Among Older Americans During the COVID-19 Pandemic," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(5), pages 1-25, October.
    12. Jan Saarela & Maria Stanfors & Mikael Rostila, 2021. "Ethnic Composition of Couples and Mutual Health Benefit Receipt: Register-Based Evidence from Finland," IJERPH, MDPI, vol. 19(1), pages 1-15, December.
    13. Wilson, Chris M. & Oswald, Andrew J., 2005. "How Does Marriage Affect Physical and Psychological Health? A Survey of the Longitudinal Evidence," Economic Research Papers 269622, University of Warwick - Department of Economics.
    14. Yang, Liyuan & Zikos, Vasileios, 2022. "Healthy mind in healthy body: Identifying the causal effect of mental health on physical health," Economics Letters, Elsevier, vol. 213(C).
    15. Astri Syse & Øystein Kravdal, 2007. "Does cancer affect the divorce rate?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 16(15), pages 469-492.
    16. Solveig Glestad Christiansen & Øystein Kravdal, 2023. "Union Status and Disability Pension," European Journal of Population, Springer;European Association for Population Studies, vol. 39(1), pages 1-19, December.
    17. Puthiery Va & Wan-Shui Yang & Sarah Nechuta & Wong-Ho Chow & Hui Cai & Gong Yang & Shan Gao & Yu-Tang Gao & Wei Zheng & Xiao-Ou Shu & Yong-Bing Xiang, 2011. "Marital Status and Mortality among Middle Age and Elderly Men and Women in Urban Shanghai," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-10, November.
    18. Acharya, Yubraj, 2018. "The impact of vitamin A supplementation in childhood on adult outcomes: An exploration of mechanisms, timing of exposure, and heterogeneous effects," Social Science & Medicine, Elsevier, vol. 201(C), pages 95-102.
    19. Kyung-Sook, Woo & SangSoo, Shin & Sangjin, Shin & Young-Jeon, Shin, 2018. "Marital status integration and suicide: A meta-analysis and meta-regression," Social Science & Medicine, Elsevier, vol. 197(C), pages 116-126.
    20. Derbyshire, Daniel W. & Jeanes, Emma & Khedmati Morasae, Esmaeil & Reh, Susan & Rogers, Morwenna, 2024. "Employer-focused interventions targeting disability employment: A systematic review," Social Science & Medicine, Elsevier, vol. 347(C).

    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:21:y:2024:i:12:p:1643-:d:1540479. 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.