Zobraziť v EDS

The bidirectional relationship between social participation, social media use and depressive symptoms: a nationwide longitudinal study.

Uložené v:
Podrobná bibliografia
Názov: The bidirectional relationship between social participation, social media use and depressive symptoms: a nationwide longitudinal study.
Autori: Zheng T; School of Health Management, Southern Medical University, Guangzhou, China.; Key Laboratory of Philosophy and Social Sciences of Colleges and Universities in Guangdong Province for Collaborative Innovation of Health Management Policy and Precision Health Service, Guangzhou, China., Zheng X; Key Laboratory of Philosophy and Social Sciences of Colleges and Universities in Guangdong Province for Collaborative Innovation of Health Management Policy and Precision Health Service, Guangzhou, China.; School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China., Xue B; School of Health Management, Southern Medical University, Guangzhou, China.; Key Laboratory of Philosophy and Social Sciences of Colleges and Universities in Guangdong Province for Collaborative Innovation of Health Management Policy and Precision Health Service, Guangzhou, China.; School of Public Health, Southern Medical University, Guangzhou, China., Xiao S; School of Health Management, Southern Medical University, Guangzhou, China.; Key Laboratory of Philosophy and Social Sciences of Colleges and Universities in Guangdong Province for Collaborative Innovation of Health Management Policy and Precision Health Service, Guangzhou, China.; School of Public Health, Southern Medical University, Guangzhou, China., Yang L; Key Laboratory of Philosophy and Social Sciences of Colleges and Universities in Guangdong Province for Collaborative Innovation of Health Management Policy and Precision Health Service, Guangzhou, China.; Nanfang Hospital, Southern Medical University, Guangzhou, China., Zhang X; School of Health Management, Southern Medical University, Guangzhou, China.; Key Laboratory of Philosophy and Social Sciences of Colleges and Universities in Guangdong Province for Collaborative Innovation of Health Management Policy and Precision Health Service, Guangzhou, China.; School of Public Health, Southern Medical University, Guangzhou, China., Chen C; School of Health Management, Southern Medical University, Guangzhou, China.; Key Laboratory of Philosophy and Social Sciences of Colleges and Universities in Guangdong Province for Collaborative Innovation of Health Management Policy and Precision Health Service, Guangzhou, China.; School of Nursing, Southern Medical University, Guangzhou, China., Li X; School of Health Management, Southern Medical University, Guangzhou, China.; Key Laboratory of Philosophy and Social Sciences of Colleges and Universities in Guangdong Province for Collaborative Innovation of Health Management Policy and Precision Health Service, Guangzhou, China.; School of Public Health, Southern Medical University, Guangzhou, China., Zhang M; School of Health Management, Southern Medical University, Guangzhou, China.; Key Laboratory of Philosophy and Social Sciences of Colleges and Universities in Guangdong Province for Collaborative Innovation of Health Management Policy and Precision Health Service, Guangzhou, China., Liao Y; School of Health Management, Southern Medical University, Guangzhou, China.; Key Laboratory of Philosophy and Social Sciences of Colleges and Universities in Guangdong Province for Collaborative Innovation of Health Management Policy and Precision Health Service, Guangzhou, China., Li Y; School of Health Management, Southern Medical University, Guangzhou, China.; Key Laboratory of Philosophy and Social Sciences of Colleges and Universities in Guangdong Province for Collaborative Innovation of Health Management Policy and Precision Health Service, Guangzhou, China., Zhang C; School of Health Management, Southern Medical University, Guangzhou, China. zhangchichen@sina.com.; Key Laboratory of Philosophy and Social Sciences of Colleges and Universities in Guangdong Province for Collaborative Innovation of Health Management Policy and Precision Health Service, Guangzhou, China. zhangchichen@sina.com.; Southern Medical University Center for Health Policy and Governance (Guangdong Provincial Social Science Research Base), Guangzhou, China. zhangchichen@sina.com.
Zdroj: BMC public health [BMC Public Health] 2025 Oct 06; Vol. 25 (1), pp. 3311. Date of Electronic Publication: 2025 Oct 06.
Spôsob vydávania: Journal Article
Jazyk: English
Informácie o časopise: Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE
Imprint Name(s): Original Publication: London : BioMed Central, [2001-
Výrazy zo slovníka MeSH: Social Media*/statistics & numerical data , Social Participation*/psychology , Depression*/epidemiology , Depression*/psychology, Humans ; Longitudinal Studies ; Male ; Female ; Aged ; Middle Aged ; China/epidemiology ; Aged, 80 and over
Abstrakt: Competing Interests: Declarations. Ethics approval and consent to participate: CHARLS investigations were approved by the Biomedical Ethics Review Committee of Peking University, Beijing, China (IRB00001052-11015). All participants were voluntarily involved and obtained informed consent. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.
Background: Improving the mental health and digital divide issues is crucial for promoting active aging. This study aimed to examine the bidirectional relationship and intricate mechanisms between social participation, social media use, and depressive symptoms among a nationwide sample of Chinese older adults.
Methods: We utilized data from two waves (2018, 2020) of the China Health and Retirement Longitudinal Survey, which included 4928 older adults aged 60 years and above. We Used a cross-lagged model to examine the bidirectional relationship between social participation, social media use, and depressive symptoms.
Results: In two years, social media use competency and social participation frequency can be predicted bidirectionally, and social media use competency and depressive symptoms can also be predicted bidirectionally. However, there is no cross-temporal bidirectional relationship between social participation frequency and depressive symptoms. Depressive symptoms can predict social participation frequency two years later, while social participation frequency cannot directly predict depressive symptoms. The mediation analysis indicated that social media use competency played a complete mediating role between social participation frequency and depressive symptoms.
Conclusions: Continuous social participation may enhance social media use competency and alleviate depressive symptoms in older adults. Social media use may alleviate the decrease in social participation frequency and increase in depressive symptoms in older adults. Therefore, social media can be an effective tool to promote the integration of the older adults into society and alleviate negative emotions.
(© 2025. The Author(s).)
References: BMC Public Health. 2020 Sep 11;20(1):1386. (PMID: 32917171)
JAMA Intern Med. 2020 Jun 1;180(6):817-818. (PMID: 32275292)
Gerontologist. 1977 Dec;17(6):553-9. (PMID: 924178)
Depress Anxiety. 2018 Aug;35(8):784-794. (PMID: 29877002)
Global Health. 2020 Jul 6;16(1):57. (PMID: 32631403)
Psychiatry Res. 2022 May;311:114511. (PMID: 35316691)
Am J Geriatr Psychiatry. 2019 Mar;27(3):254-262. (PMID: 30442532)
BMC Geriatr. 2023 Jul 24;23(1):454. (PMID: 37488526)
Gerontologist. 2018 Jan 18;58(1):68-78. (PMID: 28486645)
PLoS One. 2021 Mar 3;16(3):e0246090. (PMID: 33657132)
BMJ Open. 2021 Mar 18;11(3):e045834. (PMID: 33737442)
Nat Rev Immunol. 2016 Jan;16(1):22-34. (PMID: 26711676)
Soc Sci Med. 2019 Oct;238:112518. (PMID: 31473574)
Epidemiology. 2021 Nov 1;32(6):886-895. (PMID: 34172690)
Soc Psychiatry Psychiatr Epidemiol. 2024 Jun;59(6):969-977. (PMID: 37728756)
Neurosci Biobehav Rev. 2016 Oct;69:313-32. (PMID: 27395342)
Am J Prev Med. 1994 Mar-Apr;10(2):77-84. (PMID: 8037935)
Lancet. 2018 Nov 24;392(10161):2299-2312. (PMID: 30396512)
Curr Opin Psychol. 2022 Jun;45:101293. (PMID: 35065352)
Curr Opin Psychiatry. 2020 Sep;33(5):467-475. (PMID: 32639362)
Aging Ment Health. 2017 Apr;21(4):379-388. (PMID: 26471453)
J Appl Gerontol. 2017 Dec;36(12):1471-1518. (PMID: 26245208)
Transl Psychiatry. 2024 Oct 11;14(1):430. (PMID: 39394184)
Lancet Public Health. 2019 Apr;4(4):e200-e208. (PMID: 30954145)
Qual Life Res. 2006 Nov;15(9):1471-9. (PMID: 17009086)
Lancet Public Health. 2020 Jan;5(1):e62-e70. (PMID: 31910981)
J Affect Disord. 2023 Feb 15;323:514-523. (PMID: 36496102)
Front Public Health. 2023 Aug 09;11:1196234. (PMID: 37621608)
Gerontologist. 2001 Oct;41(5):572-5. (PMID: 11574698)
Cyberpsychol Behav Soc Netw. 2013 Oct;16(10):721-7. (PMID: 23790356)
J Med Internet Res. 2023 Aug 30;25:e44514. (PMID: 37647119)
BMC Geriatr. 2021 Aug 3;21(1):450. (PMID: 34344309)
Human Asp IT Aged Popul (2016). 2016 Jul;2016:227-238. (PMID: 28990010)
J Affect Disord. 2018 Oct 15;239:124-130. (PMID: 30005325)
Cyberpsychol Behav Soc Netw. 2022 Nov;25(11):691-702. (PMID: 36219756)
J Psychiatr Res. 2021 May;137:589-596. (PMID: 33168196)
BMC Geriatr. 2022 Apr 22;22(1):351. (PMID: 35448984)
Int J Epidemiol. 2014 Feb;43(1):61-8. (PMID: 23243115)
Grant Information: 72274091 National Natural Science Foundation of China; GD23CGL06 Guangdong Philosophy and Social Science Foundation
Contributed Indexing: Keywords: Depressive symptoms; Digital divide; Health management; Older adults; Social media use; Social participation
Entry Date(s): Date Created: 20251005 Date Completed: 20251005 Latest Revision: 20251008
Update Code: 20251008
PubMed Central ID: PMC12498433
DOI: 10.1186/s12889-025-24629-5
PMID: 41047381
Databáza: MEDLINE
Popis
Abstrakt:Competing Interests: Declarations. Ethics approval and consent to participate: CHARLS investigations were approved by the Biomedical Ethics Review Committee of Peking University, Beijing, China (IRB00001052-11015). All participants were voluntarily involved and obtained informed consent. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.<br />Background: Improving the mental health and digital divide issues is crucial for promoting active aging. This study aimed to examine the bidirectional relationship and intricate mechanisms between social participation, social media use, and depressive symptoms among a nationwide sample of Chinese older adults.<br />Methods: We utilized data from two waves (2018, 2020) of the China Health and Retirement Longitudinal Survey, which included 4928 older adults aged 60 years and above. We Used a cross-lagged model to examine the bidirectional relationship between social participation, social media use, and depressive symptoms.<br />Results: In two years, social media use competency and social participation frequency can be predicted bidirectionally, and social media use competency and depressive symptoms can also be predicted bidirectionally. However, there is no cross-temporal bidirectional relationship between social participation frequency and depressive symptoms. Depressive symptoms can predict social participation frequency two years later, while social participation frequency cannot directly predict depressive symptoms. The mediation analysis indicated that social media use competency played a complete mediating role between social participation frequency and depressive symptoms.<br />Conclusions: Continuous social participation may enhance social media use competency and alleviate depressive symptoms in older adults. Social media use may alleviate the decrease in social participation frequency and increase in depressive symptoms in older adults. Therefore, social media can be an effective tool to promote the integration of the older adults into society and alleviate negative emotions.<br /> (© 2025. The Author(s).)
ISSN:1471-2458
DOI:10.1186/s12889-025-24629-5