IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i4p1301-d322044.html
   My bibliography  Save this article

Socioeconomic Inequalities in Frailty in Hong Kong, China: A 14-Year Longitudinal Cohort Study

Author

Listed:
  • Ruby Yu

    (Department of Medicine and Therapeutics/Jockey Club Institute of Ageing, The Chinese University of Hong Kong, Shatin, Hong Kong)

  • Cecilia Tong

    (Jockey Club Institute of Ageing, The Chinese University of Hong Kong, Shatin, Hong Kong)

  • Jason Leung

    (Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Shatin, Hong Kong)

  • Jean Woo

    (Department of Medicine and Therapeutics/Jockey Club Institute of Ageing, The Chinese University of Hong Kong, Shatin, Hong Kong)

Abstract

The prevalence of frailty varies among socioeconomic groups. However, longitudinal data for the association between subjective social status and frailty is limited. In this study, we examined whether subjective social status was associated with incident frailty. Data were obtained from a 14-year cohort of Chinese men and women (n = 694) aged 65 years and older who participated in the MrOs study—a longitudinal study on osteoporosis and general health in Hong Kong. Subjective social status at baseline (2001–2003) was assessed using a 10-rung self-anchoring scale. Incident frailty at the 14-year follow-up (2015–2017) was defined as proposed by Fried and colleagues. Ordinal logistic regressions were used to examine the association between subjective social status (high, middle, or low) and incident frailty. After adjustment for age, sex, marital status, objective socioeconomic status, medical history, lifestyle, mental health, and cognitive function, subjective social status at baseline was negatively associated with risk of developing frailty over time (OR 2.3, 95% CI 1.2–4.6). In sex-stratified analysis, the social gradient in frailty was only found in men. Social inequality in frailty in men but not in women supports interventions specific to gender inequality and frailty.

Suggested Citation

  • Ruby Yu & Cecilia Tong & Jason Leung & Jean Woo, 2020. "Socioeconomic Inequalities in Frailty in Hong Kong, China: A 14-Year Longitudinal Cohort Study," IJERPH, MDPI, vol. 17(4), pages 1-16, February.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:4:p:1301-:d:322044
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/4/1301/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/4/1301/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jean Woo & Ruth Chan & Jason Leung & Moses Wong, 2010. "Relative Contributions of Geographic, Socioeconomic, and Lifestyle Factors to Quality of Life, Frailty, and Mortality in Elderly," PLOS ONE, Public Library of Science, vol. 5(1), pages 1-11, January.
    2. Matthews, Sharon & Manor, Orly & Power, Chris, 1999. "Social inequalities in health: are there gender differences?," Social Science & Medicine, Elsevier, vol. 48(1), pages 49-60, January.
    3. Demakakos, Panayotes & Nazroo, James & Breeze, Elizabeth & Marmot, Michael, 2008. "Socioeconomic status and health: The role of subjective social status," Social Science & Medicine, Elsevier, vol. 67(2), pages 330-340, July.
    4. Dunn, James R. & Veenstra, Gerry & Ross, Nancy, 2006. "Psychosocial and neo-material dimensions of SES and health revisited: Predictors of self-rated health in a Canadian national survey," Social Science & Medicine, Elsevier, vol. 62(6), pages 1465-1473, 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. Garbarski, Dana, 2010. "Perceived social position and health: Is there a reciprocal relationship?," Social Science & Medicine, Elsevier, vol. 70(5), pages 692-699, March.
    2. Präg, Patrick & Mills, Melinda C. & Wittek, Rafael, 2016. "Subjective socioeconomic status and health in cross-national comparison," Social Science & Medicine, Elsevier, vol. 149(C), pages 84-92.
    3. Kolarcik, Peter & Geckova, Andrea Madarasova & Orosova, Olga & van Dijk, Jitse P. & Reijneveld, Sijmen A., 2009. "To what extent does socioeconomic status explain differences in health between Roma and non-Roma adolescents in Slovakia?," Social Science & Medicine, Elsevier, vol. 68(7), pages 1279-1284, April.
    4. Alexander Miething, 2013. "The Relevance of Objective and Subjective Social Position for Self-Rated Health: A Combined Approach for the Swedish Context," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 111(1), pages 161-173, March.
    5. Veenstra, Gerry & Vanzella-Yang, Adam, 2022. "Interactions between parental and personal socioeconomic resources and self-rated health: Adjudicating between the resource substitution and resource multiplication theories," Social Science & Medicine, Elsevier, vol. 292(C).
    6. Xiaobao Li & Houchao Lyu, 2022. "Social Status and Subjective Well-Being in Chinese Adults: Mediating Effect of Future Time Perspective," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(4), pages 2101-2116, August.
    7. Liliya Leopold & Thomas Leopold, 2016. "Education and Health across Lives and Cohorts: A Study of Cumulative Advantage in Germany," SOEPpapers on Multidisciplinary Panel Data Research 835, DIW Berlin, The German Socio-Economic Panel (SOEP).
    8. 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.
    9. Gabriella Conti & James J. Heckman & Rodrigo Pinto, 2016. "The Effects of Two Influential Early Childhood Interventions on Health and Healthy Behaviour," Economic Journal, Royal Economic Society, vol. 126(596), pages 28-65, October.
    10. Chunping Han, 2014. "Health Implications of Socioeconomic Characteristics, Subjective Social Status, and Perceptions of Inequality: An Empirical Study of China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(2), pages 495-514, November.
    11. Nobles, Jenna & Weintraub, Miranda Ritterman & Adler, Nancy E., 2013. "Subjective socioeconomic status and health: Relationships reconsidered," Social Science & Medicine, Elsevier, vol. 82(C), pages 58-66.
    12. Bradshaw, Matt & Ellison, Christopher G., 2010. "Financial hardship and psychological distress: Exploring the buffering effects of religion," Social Science & Medicine, Elsevier, vol. 71(1), pages 196-204, July.
    13. Jerneja Farkas & Majda Pahor & Lijana Zaletel-Kragelj, 2011. "Self-rated health in different social classes of Slovenian adult population: nationwide cross-sectional study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(1), pages 45-54, February.
    14. Eric TC Lai & Ruby Yu & Jean Woo, 2020. "The Associations of Income, Education and Income Inequality and Subjective Well-Being among Elderly in Hong Kong—A Multilevel Analysis," IJERPH, MDPI, vol. 17(4), pages 1-14, February.
    15. Adena, Maja & Myck, Michal, 2013. "Poverty and Transitions in Health," IZA Discussion Papers 7532, Institute of Labor Economics (IZA).
    16. Jean Woo & Ruth Chan & Jason Leung & Moses Wong, 2010. "Relative Contributions of Geographic, Socioeconomic, and Lifestyle Factors to Quality of Life, Frailty, and Mortality in Elderly," PLOS ONE, Public Library of Science, vol. 5(1), pages 1-11, January.
    17. Alaina N. English & Jennifer A. Bellingtier & Shevaun D. Neupert, 2019. "It’s “the Joneses”: the influence of objective and subjective socioeconomic status on subjective perceptions of aging," European Journal of Ageing, Springer, vol. 16(1), pages 121-128, March.
    18. M. Dolores Montoya Diaz, 2002. "Socio‐economic health inequalities in Brazil: gender and age effects," Health Economics, John Wiley & Sons, Ltd., vol. 11(2), pages 141-154, March.
    19. Krista Lynn Minnotte & Deniz Yucel, 2018. "Work–Family Conflict, Job Insecurity, and Health Outcomes Among US Workers," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(2), pages 517-540, September.
    20. Fleuriet, K. Jill & Sunil, T.S., 2015. "Reproductive habitus, psychosocial health, and birth weight variation in Mexican immigrant and Mexican American women in south Texas," Social Science & Medicine, Elsevier, vol. 138(C), pages 102-109.

    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:4:p:1301-:d:322044. 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.