IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v350y2024ics0277953624003587.html
   My bibliography  Save this article

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?

Author

Listed:
  • Rassaby, Madeleine
  • Shakya, Holly B.
  • Fowler, James H.
  • Oveis, Christopher
  • Sieber, William J.
  • Jain, Sonia
  • Stein, Murray B.
  • Taylor, Charles T.

Abstract

The epidemic of loneliness and social isolation has been recognized as a public health crisis warranting the same prioritization as other public health issues today, such as obesity, substance use disorders, and tobacco use. Social disconnection is particularly prevalent and disabling among individuals with anxiety and depression, yet it is inadequately evaluated and addressed in most clinical psychology treatment research. Studies generally employ global measures of perceived connectedness, loneliness, or relationship satisfaction, limiting understanding about elements of one's social network that may change with treatment. This study examined changes in the degree (number of people nominated) and quality of one's social network from pre-to post-treatment using an egocentric social network approach in 59 adults (mean age = 30.8 years, range = 18 to 54) with clinically elevated anxiety or depression who were randomized to a cognitive and behavioral positive valence treatment versus waitlist. Participants (egos) named people in their lives (alters) with whom they discussed important issues or spent free time. For each alter, participants rated how close they felt, how close they thought the alter felt to them, and how frequently they communicated. Linear regressions, which included treatment group as a predictor, revealed no group differences in changes in network degree, perceived alter feelings of closeness, or communication frequency, despite prior findings from this sample indicating larger increases in perceived global connectedness in the treatment group. Unexpectedly, the control group reported a greater increase in perceived closeness to alters. Post-hoc analyses revealed this was explained by the treatment group identifying more distal social ties (e.g., extended family, colleagues, roommates) as alters following treatment – an outcome positively associated with global improvements in connectedness. This proof-of-concept study suggests egocentric social network surveys may provide unique information on treatment-related changes in social functioning. Suggestions are provided for adaptations to facilitate application of social network surveys to mental health treatment research.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:socmed:v:350:y:2024:i:c:s0277953624003587
    DOI: 10.1016/j.socscimed.2024.116914
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953624003587
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2024.116914?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Imai, Kosuke & Keele, Luke & Tingley, Dustin & Yamamoto, Teppei, 2011. "Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies," American Political Science Review, Cambridge University Press, vol. 105(4), pages 765-789, November.
    2. Karen L Fingerman & Meng Huo & Susan T Charles & Debra J Umberson & J Scott Brown, 2020. "Variety Is the Spice of Late Life: Social Integration and Daily Activity," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 75(2), pages 377-388.
    3. Benjamin Cornwell, 2015. "Social Disadvantage and Network Turnover," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 70(1), pages 132-142.
    4. 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).
    5. Cornwell, Benjamin & Laumann, Edward O., 2015. "The health benefits of network growth: New evidence from a national survey of older adults," Social Science & Medicine, Elsevier, vol. 125(C), pages 94-106.
    6. Ellwardt, Lea & Van Tilburg, Theo G. & Aartsen, Marja J., 2015. "The mix matters: Complex personal networks relate to higher cognitive functioning in old age," Social Science & Medicine, Elsevier, vol. 125(C), pages 107-115.
    7. Tingley, Dustin & Yamamoto, Teppei & Hirose, Kentaro & Keele, Luke & Imai, Kosuke, 2014. "mediation: R Package for Causal Mediation Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 59(i05).
    8. 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.
    9. 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.
    10. A James O’Malley & Samuel Arbesman & Darby Miller Steiger & James H Fowler & Nicholas A Christakis, 2012. "Egocentric Social Network Structure, Health, and Pro-Social Behaviors in a National Panel Study of Americans," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-9, May.
    11. Diego Zavaleta & Kim Samuel & China T. Mills, 2017. "Measures of Social Isolation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(1), pages 367-391, 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. Schuessler, Julian, 2024. "Causal analysis with observational data," OSF Preprints wam94, Center for Open Science.
    2. Walk,Erin Elizabeth & Garimella,Kiran & Christia,Fotini, 2022. "Displacement and Return in the Internet Era : How Social Media Captures Migration Decisionsin Northern Syria," Policy Research Working Paper Series 10024, The World Bank.
    3. 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.
    4. Adam C. Sales, 2017. "Review," Journal of Educational and Behavioral Statistics, , vol. 42(1), pages 69-84, February.
    5. 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.
    6. 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.
    7. Cammett, Melani & Şaşmaz, Aytuğ, 2017. "Political Context, Organizational Mission, and the Quality of Social Services: Insights from the Health Sector in Lebanon," World Development, Elsevier, vol. 98(C), pages 120-132.
    8. Assefa, Dawit Z. & Liao, Ching T. & Misganaw, Bisrat A., 2022. "Unpacking the negative impact of initial informality on innovation: The mediating roles of investments in R&D and employee training," Technovation, Elsevier, vol. 114(C).
    9. Egle Vaznyte & Petra Andries & Sarah Demeulemeester, 2021. "“Don’t leave me this way!” Drivers of parental hostility and employee spin-offs’ performance," Small Business Economics, Springer, vol. 57(1), pages 265-293, June.
    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. Zhang, Chao & Guan, Jiancheng, 2021. "Returnee policies in China: Does a strategy of alleviating the financing difficulty of returnee firms promote innovation?," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    12. Jing Wang & Yunshi Mao, 2020. "Pains and gains of environmental management system certification for the sustainable development of manufacturing companies: Heterogeneous effects of industry peer learning," Business Strategy and the Environment, Wiley Blackwell, vol. 29(5), pages 2092-2109, July.
    13. Brown, Martin & Henchoz, Caroline & Spycher, Thomas, 2018. "Culture and financial literacy: Evidence from a within-country language border," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 62-85.
    14. Ward, Jeffrey T. & Hartley, Richard D. & Tillyer, Rob, 2016. "Unpacking gender and racial/ethnic biases in the federal sentencing of drug offenders: A causal mediation approach," Journal of Criminal Justice, Elsevier, vol. 46(C), pages 196-206.
    15. Ali Tafti & Galit Shmueli, 2020. "Beyond Overall Treatment Effects: Leveraging Covariates in Randomized Experiments Guided by Causal Structure," Information Systems Research, INFORMS, vol. 31(4), pages 1183-1199, December.
    16. Anastasia Hernández-Alemán & Noelia Cruz-Pérez & Juan C. Santamarta, 2024. "The Average Direct, Indirect and Total Effects of Environmental Concern on Pro-Environmental Behavior," Land, MDPI, vol. 13(8), pages 1-26, August.
    17. Nan Feng, 2023. "Social disadvantage, context and network dynamics in later life," European Journal of Ageing, Springer, vol. 20(1), pages 1-11, December.
    18. 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.
    19. 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.
    20. 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.

    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:eee:socmed:v:350:y:2024:i:c:s0277953624003587. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.