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Antidepressant use in spatial social networks
MTA–HUN-REN “Momentum” Agglomeration, Networks, and Innovation Research Group, HUN-REN Centre for Economic and Regional Studies, 1097 Budapest, Hungary.;ANETI Lab, Corvinus Institute for Advanced Studies, Corvinus University of Budapest, 1093 Budapest, Hungary.;Institute of Data Analytics and Information Systems, Corvinus University of Budapest, 1093 Budapest, Hungary..ORCID iD: 0000-0001-5196-5599
Umeå University, Faculty of Social Sciences, Centre for Regional Science (CERUM). MTA–HUN-REN “Momentum” Agglomeration, Networks, and Innovation Research Group, HUN-REN Centre for Economic and Regional Studies, 1097 Budapest, Hungary.;CERUM, Umeå University, 901 87 Umeå, Sweden..ORCID iD: 0000-0003-4461-0065
Human Nature Lab, Yale University, New Haven, CT 06520-8263, USA..ORCID iD: 0000-0001-5547-1086
Health and Population Research Group, HUN-REN Centre for Economic and Regional Studies, 1097 Budapest, Hungary..ORCID iD: 0000-0002-4833-4224
2024 (English)In: Science Advances, E-ISSN 2375-2548, Vol. 10, no 49, article id eadr0302Article in journal (Refereed) Published
Abstract [en]

Social networks may help individuals maintain their mental health. Most empirical work based on small-scale surveys finds that cohesive social networks are critical for mental well-being, while diverse networks are considered less important. Here, we link data on antidepressant use of 277,344 small-town residents to a nationwide online social network. The data enable us to examine how individuals’ mental health care is related to the spatial characteristics of their social networks including their ties in the local community and connections to distant communities. We find that, besides the cohesion of social networks around home, the diversity of connections to distant places is negatively correlated with the probability of antidepressant use. Spatial diversity of social networks is also associated with decreasing dosage in subsequent years. This relationship is independent from the local access to antidepressants and is more prevalent for young individuals. Structural features of spatial social networks are prospectively associated with depression treatment.

Place, publisher, year, edition, pages
American Association for the Advancement of Science (AAAS), 2024. Vol. 10, no 49, article id eadr0302
National Category
Economic Geography
Identifiers
URN: urn:nbn:se:umu:diva-232874DOI: 10.1126/sciadv.adr0302ISI: 001372629900020PubMedID: 39642229Scopus ID: 2-s2.0-85212004244OAI: oai:DiVA.org:umu-232874DiVA, id: diva2:1920875
Available from: 2024-12-12 Created: 2024-12-12 Last updated: 2025-01-10Bibliographically approved

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Toth, Gergo

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