IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i8p5494-d1122268.html
   My bibliography  Save this article

Measuring the Impact of Bedroom Privacy on Social Networks in a Long-Term Care Facility for Hong Kong Older Adults: A Spatio-Social Network Analysis Approach

Author

Listed:
  • Aria C. H. Yang

    (School of Design, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China)

  • Habib Chaudhury

    (Department of Gerontology, Simon Fraser University, 8888 University Drive Burnaby, Vancouver, BC V5A 1S6, Canada)

  • Jeffrey C. F. Ho

    (School of Design, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China)

  • Newman Lau

    (School of Design, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China)

Abstract

This study aims to measure the impact of bedroom privacy on residents’ social networks in a long-term care (LTC) facility for older adults. Little is known about how the architectural design of bedrooms affects residents’ social networks in compact LTC facilities. Five design factors affecting privacy were examined: bedroom occupancy, visual privacy, visibility, bedroom adjacency, and transitional space. We present a spatio-social network analysis approach to analyse the social network structures of 48 residents. Results show that residents with the highest bedroom privacy had comparatively smaller yet stronger groups of network partners in their own bedrooms. Further, residents who lived along short corridors interacted frequently with non-roommates in one another’s bedrooms. In contrast, residents who had the least privacy had relatively diverse network partners, however, with weak social ties. Clustering analyses also identified five distinct social clusters among residents of different bedrooms, ranging from diverse to restricted. Multiple regressions showed that these architectural factors are significantly associated with residents’ network structures. The findings have methodological implications for the study of physical environment and social networks which are useful for LTC service providers. We argue that our findings could inform current policies to develop LTC facilities aimed at improving residents’ well-being.

Suggested Citation

  • Aria C. H. Yang & Habib Chaudhury & Jeffrey C. F. Ho & Newman Lau, 2023. "Measuring the Impact of Bedroom Privacy on Social Networks in a Long-Term Care Facility for Hong Kong Older Adults: A Spatio-Social Network Analysis Approach," IJERPH, MDPI, vol. 20(8), pages 1-19, April.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:8:p:5494-:d:1122268
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/8/5494/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/8/5494/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Ting & Zhang, Yanlong, 2015. "Social network types and the health of older adults: Exploring reciprocal associations," Social Science & Medicine, Elsevier, vol. 130(C), pages 59-68.
    2. Debra Street & Stephanie Burge & Jill Quadagno & Anne Barrett, 2007. "The Salience of Social Relationships for Resident Well-Being in Assisted Living," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 62(2), pages 129-134.
    3. Katherine L. Fiori & Toni C. Antonucci & Kai S. Cortina, 2006. "Social Network Typologies and Mental Health Among Older Adults," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 61(1), pages 25-32.
    4. Judith M. Mitchell & Bryan J. Kemp, 2000. "Quality of Life in Assisted Living Homes," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 55(2), pages 117-127.
    5. Xinyue Ye & Xingjian Liu, 2018. "Integrating social networks and spatial analyses of the built environment," Environment and Planning B, , vol. 45(3), pages 395-399, May.
    6. Yiqi Tao & Stephen Siu Yu Lau & Zhonghua Gou & Jiayan Fu & Boya Jiang & Xiaowei Chen, 2018. "Privacy and Well-Being in Aged Care Facilities with a Crowded Living Environment: Case Study of Hong Kong Care and Attention Homes," IJERPH, MDPI, vol. 15(10), pages 1-14, October.
    7. Sheung-Tak Cheng & Coty K. L. Lee & Alfred C. M. Chan & Edward M. F. Leung & Jik-Joen Lee, 2009. "Social Network Types and Subjective Well-being in Chinese Older Adults," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 64(6), pages 713-722.
    8. Philip D. Sloane & C. Madeline Mitchell & Gerald Weisman & Sheryl Zimmerman & Kristie M. Long Foley & Mary Lynn & Margaret Calkins & M. Powell Lawton & Jeanne Teresi & Leslie Grant & David Lindeman & , 2002. "The Therapeutic Environment Screening Survey for Nursing Homes (TESS-NH)," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 57(2), pages 69-78.
    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. Sónia Guadalupe & Henrique Testa Vicente, 2022. "Types of Personal Social Networks of Older Adults in Portugal," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(2), pages 445-466, April.
    2. Li, Ting & Yang, Yang Claire & Zhang, Yanlong, 2018. "Culture, economic development, social-network type, and mortality: Evidence from Chinese older adults," Social Science & Medicine, Elsevier, vol. 204(C), pages 23-30.
    3. Torres, Zaira & Oliver, Amparo & Tomás, José M. & Kondo, Naoki, 2024. "Exploring social network typologies and their impact on health and mental well-being in older adults: Evidence from JAGES," Social Science & Medicine, Elsevier, vol. 348(C).
    4. Liping Ye & Xinping Zhang, 2019. "Social Network Types and Health among Older Adults in Rural China: The Mediating Role of Social Support," IJERPH, MDPI, vol. 16(3), pages 1-14, January.
    5. Liping Ye & Xinping Zhang, 2021. "The association mechanism between social network types and health‐related behaviours among the elderly in rural Hubei Province, China," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(3), pages 826-846, May.
    6. Child, Stephanie T. & Lawton, Leora E., 2020. "Personal networks and associations with psychological distress among young and older adults," Social Science & Medicine, Elsevier, vol. 246(C).
    7. Ann W. Nguyen, 2017. "Variations in Social Network Type Membership Among Older African Americans, Caribbean Blacks, and Non-Hispanic Whites," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 72(4), pages 716-726.
    8. Kyung-Won Choi & Gyeong-Suk Jeon, 2021. "Social Network Types and Depressive Symptoms among Older Korean Men and Women," IJERPH, MDPI, vol. 18(21), pages 1-14, October.
    9. Haosen Sun & Markus Schafer, 2022. "Close ties, near and far away: patterns and predictors of geographic network range among older Europeans," European Journal of Ageing, Springer, vol. 19(3), pages 699-716, September.
    10. Sohn, Sung Yun & Joo, Won-tak & Kim, Woo Jung & Kim, Se Joo & Youm, Yoosik & Kim, Hyeon Chang & Park, Yeong-Ran & Lee, Eun, 2017. "Social network types among older Korean adults: Associations with subjective health," Social Science & Medicine, Elsevier, vol. 173(C), pages 88-95.
    11. Christoph Becker & Isadora Kirchmaier & Stefan T Trautmann, 2019. "Marriage, parenthood and social network: Subjective well-being and mental health in old age," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-20, July.
    12. Zeev Hille & Hannes Ulrich & Vera Maren Straßburger & Pichit Buspavanich, 2024. "Social networks of men who have sex with men engaging in chemsex in Germany: differences in social resources and sexual health," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    13. Carly Roman & Christopher R. Beam & Elizabeth Zelinski, 2022. "Psychosocial Outcomes of Age Integration Status: Do Age-Integrated Social Networks Benefit Older Adults?," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
    14. Howard Litwin & Michal Levinsky & Ella Schwartz, 2020. "Network type, transition patterns and well-being among older Europeans," European Journal of Ageing, Springer, vol. 17(2), pages 241-250, June.
    15. Rassaby, Madeleine & Shakya, Holly B. & Fowler, James H. & Oveis, Christopher & Sieber, William J. & Jain, Sonia & Stein, Murray B. & Taylor, Charles T., 2024. "Application of an egocentric social network approach to examine changes in social connections following treatment for anxiety and depression: A novel measurement tool for clinical trials research?," Social Science & Medicine, Elsevier, vol. 350(C).
    16. Li, Ting & Zhang, Yanlong, 2015. "Social network types and the health of older adults: Exploring reciprocal associations," Social Science & Medicine, Elsevier, vol. 130(C), pages 59-68.
    17. Shiovitz-Ezra, Sharon & Litwin, Howard, 2012. "Social network type and health-related behaviors: Evidence from an American national survey," Social Science & Medicine, Elsevier, vol. 75(5), pages 901-904.
    18. Vonneilich, Nico & Lüdecke, Daniel & von dem Knesebeck, Olaf, 2020. "Educational inequalities in self-rated health and social relationships – analyses based on the European Social Survey 2002-2016," Social Science & Medicine, Elsevier, vol. 267(C).
    19. Sheung-Tak Cheng, 2017. "Self-Perception of Aging and Satisfaction With Children’s Support," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 72(5), pages 782-791.
    20. Wu, Zhongling & Hu, Bi Ying & Fan, Xitao & Zhang, Xiao & Zhang, Juan, 2018. "The associations between social skills and teacher-child relationships: A longitudinal study among Chinese preschool children," Children and Youth Services Review, Elsevier, vol. 88(C), pages 582-590.

    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:20:y:2023:i:8:p:5494-:d:1122268. 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.