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Li-et-al_2023_Understanding the protective effect of social support.pdf 806,07KB
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1000 Titel
  • Understanding the protective effect of social support on depression symptomatology from a longitudinal network perspective
1000 Autor/in
  1. Li, Gen |
  2. Li, Yifan |
  3. Iok Fong Lam, Agnes |
  4. Tang, Weiming |
  5. Seedat, Soraya |
  6. Barbui, Corrado |
  7. Papola, Davide |
  8. Panter-Brick, Catherine |
  9. van der Waerden, Judith |
  10. Bryant, Richard |
  11. Mittendorfer-Rutz, Ellenor |
  12. Purba, Fredrick D. |
  13. Setyowibow, Hari |
  14. Pinucci, Irene |
  15. Palantza, Christina |
  16. Acarturk, Ceren |
  17. Kurt, Gülsah |
  18. Tarsitani, Lorenzo |
  19. Morina, Naser |
  20. Burchert, Sebastian |
  21. Patanè, Martina |
  22. Quero, Soledad |
  23. Campos, David |
  24. Huizink, Anja C. |
  25. Fuhr, Daniela |
  26. Spiller, Tobias |
  27. Sijbrandij, Marit |
  28. Hall, Brian J. |
1000 Erscheinungsjahr 2023
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-11-29
1000 Erschienen in
1000 Quellenangabe
  • 26(1):e300802
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • http://doi.org/10.1136/bmjment-2023-300802 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689368/ |
1000 Ergänzendes Material
  • https://mentalhealth.bmj.com/content/26/1/e300802#supplementary-materials |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Higher social support protects people from developing mental disorders. Limited evidence is available on the mechanism through which social support plays this protective role. OBJECTIVE: To investigate the stress-buffering process of social support on depressive symptoms using a novel longitudinal dynamic symptom network approach. METHODS: A total of 4242 adult participants who completed the first two waves (from May to October 2020) of the International Covid Mental Health Survey were included in the study. Cross-lagged panel network modelling was used to estimate a longitudinal network of self-reported social support, loneliness and depressive symptoms. Standardised regression coefficients from regularised cross-lagged regressions were estimated as edge weights of the network. FINDINGS: The results support a unidirectional protective effect of social support on key depressive symptoms, partly mediated through loneliness: A higher number of close confidants and accessible practical help was associated with decreased anhedonia (weight=−0.033) and negative self-appraisal symptoms (weight=−0.038). Support from others was also negatively associated with loneliness, which in turn associated with decreased depressed mood (weight=0.086) and negative self-appraisal (weight=0.077). We identified a greater number of direct relationships from social support to depressive symptoms among men compared with women. Also, the edge weights from social support to depression were generally stronger in the men’s network. CONCLUSIONS: Reductions in negative self-appraisal might function as a bridge between social support and other depressive symptoms, and, thus, it may have amplified the protective effect of social support. Men appear to benefit more from social support than women. CLINICAL IMPLICATIONS: Building community-based support networks to deliver practical support, and loneliness reduction components are critical for depression prevention interventions after stressful experiences.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-9625-208X|https://frl.publisso.de/adhoc/uri/TGksIFlpZmFu|https://frl.publisso.de/adhoc/uri/SW9rIEZvbmcgTGFtLCBBZ25lcw==|https://frl.publisso.de/adhoc/uri/VGFuZywgV2VpbWluZw==|https://frl.publisso.de/adhoc/uri/U2VlZGF0LCBTb3JheWE=|https://frl.publisso.de/adhoc/uri/QmFyYnVpLCBDb3JyYWRv|https://orcid.org/0000-0001-6482-8593|https://frl.publisso.de/adhoc/uri/UGFudGVyLUJyaWNrLCBDYXRoZXJpbmU=|https://frl.publisso.de/adhoc/uri/dmFuIGRlciBXYWVyZGVuLCBKdWRpdGg=|https://orcid.org/0000-0002-9607-819X|https://frl.publisso.de/adhoc/uri/TWl0dGVuZG9yZmVyLVJ1dHosIEVsbGVub3I=|https://frl.publisso.de/adhoc/uri/UHVyYmEsIEZyZWRyaWNrIEQu|https://frl.publisso.de/adhoc/uri/U2V0eW93aWJvdywgSGFyaQ==|https://frl.publisso.de/adhoc/uri/UGludWNjaSwgSXJlbmU=|https://frl.publisso.de/adhoc/uri/UGFsYW50emEsIENocmlzdGluYQ==|https://frl.publisso.de/adhoc/uri/QWNhcnR1cmssIENlcmVu|https://frl.publisso.de/adhoc/uri/S3VydCwgR8O8bHNhaA==|https://frl.publisso.de/adhoc/uri/VGFyc2l0YW5pLCBMb3Jlbnpv|https://orcid.org/0000-0002-6470-4408|https://frl.publisso.de/adhoc/uri/QnVyY2hlcnQsIFNlYmFzdGlhbg==|https://frl.publisso.de/adhoc/uri/UGF0YW7DqCwgTWFydGluYQ==|https://frl.publisso.de/adhoc/uri/UXVlcm8sIFNvbGVkYWQ=|https://frl.publisso.de/adhoc/uri/Q2FtcG9zLCBEYXZpZA==|https://frl.publisso.de/adhoc/uri/SHVpemluaywgQW5qYSBDLg==|https://orcid.org/0000-0001-9020-4629|https://frl.publisso.de/adhoc/uri/U3BpbGxlciwgVG9iaWFz|https://frl.publisso.de/adhoc/uri/U2lqYnJhbmRpaiwgTWFyaXQ=|https://frl.publisso.de/adhoc/uri/SGFsbCwgQnJpYW4gSi4=
1000 Label
1000 Förderer
  1. Center for Global Health Equity |
  2. New York University Shanghai |
  3. Freie Universität Berlin |
1000 Fördernummer
  1. -
  2. -
  3. -
1000 Förderprogramm
  1. -
  2. -
  3. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Center for Global Health Equity |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer New York University Shanghai |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Freie Universität Berlin |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6475379.rdf
1000 Erstellt am 2024-04-26T11:42:54.607+0200
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