IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i5p2754-d513275.html
   My bibliography  Save this article

Important Dependency-Associated Community Resources among Elderly Individuals with a Low Level of Social Support in China

Author

Listed:
  • Ying Li

    (Department of Social Medicine, School of Public Health, Zhejiang University, Hangzhou 310058, China)

  • Yiyang Pan

    (Department of Social Medicine, School of Public Health, Zhejiang University, Hangzhou 310058, China)

  • Yuan Chen

    (Department of Social Medicine, School of Public Health, Zhejiang University, Hangzhou 310058, China)

  • Pingyu Cui

    (Department of Social Medicine, School of Public Health, Zhejiang University, Hangzhou 310058, China)

Abstract

Background: The prevalence of dependency personality disorder is high among elderly individuals with a low level of social support. The objective of this study was to explore the dependency associated with important community resources among elderly individuals with a low level of social support from the perspective of resource demand. Methods: The population-based cross-sectional study was conducted in 22 locations in China. A total of 950 participants aged ≥60 years were selected using a complex multistage sampling design. All the data were collected using questionnaires via face-to-face interviews. The dependency was assessed using the standardized Chinese version of the Minnesota Multiphasic Personality Inventory-II. Community resources were assessed using 43 items. Logistic regression analysis was used to evaluate the association between dependency and important community resources. Results: Bivariate analysis showed that the level of social support was negatively associated with levels of income ( p < 0.001) and education ( p = 0.008) and was positively associated with social communication and interactions ( p < 0.001). The logistic regression analysis showed that the emergency call or survival monitoring system (ECSMS) was the most important community resource that was significantly associated with the levels of dependency; the odds ratio was 2.64 (95% CI, 1.07–3.91; p = 0.031) among elderly individuals with a low level of social support. Conclusions: The levels of dependency were most significantly associated with the ECSMS among elderly individuals with a low level of social support. Our results suggest that improving the ECSMS can be the main problem in the development of community resources.

Suggested Citation

  • Ying Li & Yiyang Pan & Yuan Chen & Pingyu Cui, 2021. "Important Dependency-Associated Community Resources among Elderly Individuals with a Low Level of Social Support in China," IJERPH, MDPI, vol. 18(5), pages 1-11, March.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2754-:d:513275
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/5/2754/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/5/2754/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fiona E Matthews & Holly Bennett & Raphael Wittenberg & Carol Jagger & Tom Dening & Carol Brayne & Cognitive Function, Ageing Studies (CFAS) collaboration, 2016. "Who Lives Where and Does It Matter? Changes in the Health Profiles of Older People Living in Long Term Care and the Community over Two Decades in a High Income Country," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-15, September.
    2. Borja Rivero-Jiménez & David Conde-Caballero & Lorenzo Mariano-Juárez, 2020. "Health and Nutritional Beliefs and Practices among Rural Elderly Population: An Ethnographic Study in Western Spain," IJERPH, MDPI, vol. 17(16), pages 1-16, August.
    3. Terry Y. S. Lum & Vivian W. Q. Lou & Yanyan Chen & Gloria H. Y. Wong & Hao Luo & Tracy L. W. Tong, 2016. "Neighborhood Support and Aging-in-Place Preference Among Low-Income Elderly Chinese City-Dwellers," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 71(1), pages 98-105.
    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. Yue Li & Chengmeng Zhang & Yan Tong & Yalu Zhang & Gong Chen, 2022. "Prediction of the Old-Age Dependency Ratio in Chinese Cities Using DMSP/OLS Nighttime Light Data," IJERPH, MDPI, vol. 19(12), pages 1-23, June.

    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. Nan Lu & Shicun Xu & Qinghong Zhou, 2020. "Social Capital and Preferences for Aging in Place Among Older Adults Living in Rural Northeast China," IJERPH, MDPI, vol. 17(14), pages 1-10, July.
    2. Song, Misook & Song, Hyunjong, 2020. "Disagreement between a public insurer’s recommendation and beneficiary’s choice of long-term care services in Korea," Health Policy, Elsevier, vol. 124(8), pages 881-887.
    3. Jeronimo Luengo-Polo & David Conde-Caballero & Borja Rivero-Jiménez & Inmaculada Ballesteros-Yáñez & Carlos A. Castillo-Sarmiento & Lorenzo Mariano-Juárez, 2021. "Rationale and Methods of Evaluation for ACHO, A New Virtual Assistant to Improve Therapeutic Adherence in Rural Elderly Populations: A User-Driven Living Lab," IJERPH, MDPI, vol. 18(15), pages 1-11, July.
    4. Versey, H. Shellae, 2018. "A tale of two Harlems: Gentrification, social capital, and implications for aging in place," Social Science & Medicine, Elsevier, vol. 214(C), pages 1-11.
    5. Miguel Madruga & Jorge Carlos-Vivas & María Mendoza-Muñoz & José Carmelo Adsuar & Lorenzo Mariano-Juárez & David Conde-Caballero, 2021. "Family Orchards and Health-Related Quality of Life in the Elderly. A Protocol for a Study in Las Hurdes (Spain) Based on an Ethnographic Approach," IJERPH, MDPI, vol. 18(3), pages 1-14, January.
    6. Espuny Pujol, Ferran & Hancock, Ruth & Morciano, Marcello, 2021. "Trends in survival of older care home residents in England: A 10-year multi-cohort study," Social Science & Medicine, Elsevier, vol. 282(C).
    7. Walsh, Sharon & O'Shea, Eamon & Pierse, Tom & Kennelly, Brendan & Keogh, Fiona & Doherty, Edel, 2020. "Public preferences for home care services for people with dementia: A discrete choice experiment on personhood," Social Science & Medicine, Elsevier, vol. 245(C).
    8. Siqiang Wang & Esther Hiu Kwan Yung & Ester Cerin & Yifan Yu & Peiheng Yu, 2022. "Older People’s Usage Pattern, Satisfaction with Community Facility and Well-Being in Urban Old Districts," IJERPH, MDPI, vol. 19(16), pages 1-24, August.

    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:5:p:2754-:d:513275. 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.