» Articles » PMID: 28703773

An Analysis of Anxiety-Related Postings on Sina Weibo

Overview
Publisher MDPI
Date 2017 Jul 14
PMID 28703773
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

This study examines anxiety-related postings on Sina Weibo to gain insight into social networking about mental health. The themes of a random sample of anxiety-related postings ( = 1000) were assessed. The disclosure of anxiety was the most common theme. The prevalence of anxiety was higher in certain areas where the economy is stronger than others, and the people living there suffered from more stress. Users who talked about feeling anxious tended to be more active on social media during leisure hours and less active during work hours. Our findings may be developed to detect and help individuals who may suffer from anxiety disorders at a low cost.

Citing Articles

Automatic anxiety recognition method based on microblog text analysis.

Yu Y, Li Q, Liu X Front Public Health. 2023; 11:1080013.

PMID: 37020823 PMC: 10067666. DOI: 10.3389/fpubh.2023.1080013.


Ethical and Methodological Considerations of Twitter Data for Public Health Research: Systematic Review.

Takats C, Kwan A, Wormer R, Goldman D, Jones H, Romero D J Med Internet Res. 2022; 24(11):e40380.

PMID: 36445739 PMC: 9748795. DOI: 10.2196/40380.


Analysis of the causes of inferiority feelings based on social media data with Word2Vec.

Liu Y, Xu C, Kuai X, Deng H, Wang K, Luo Q Sci Rep. 2022; 12(1):5218.

PMID: 35338206 PMC: 8956725. DOI: 10.1038/s41598-022-09075-2.


Associations Between Affective States and Sexual and Health Status Among Men Who Have Sex With Men in China: Exploratory Study Using Social Media Data.

Zheng Z, Yang Q, Liu Z, Qiu J, Gu J, Hao Y J Med Internet Res. 2020; 22(1):e13201.

PMID: 32012054 PMC: 7053714. DOI: 10.2196/13201.


Characterizing Depression Issues on Sina Weibo.

Tian X, Batterham P, Song S, Yao X, Yu G Int J Environ Res Public Health. 2018; 15(4).

PMID: 29659489 PMC: 5923806. DOI: 10.3390/ijerph15040764.

References
1.
Moreno M, Christakis D, Egan K, Jelenchick L, Cox E, Young H . A pilot evaluation of associations between displayed depression references on Facebook and self-reported depression using a clinical scale. J Behav Health Serv Res. 2011; 39(3):295-304. PMC: 3266445. DOI: 10.1007/s11414-011-9258-7. View

2.
Kessler R, Berglund P, Demler O, Jin R, Merikangas K, Walters E . Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005; 62(6):593-602. DOI: 10.1001/archpsyc.62.6.593. View

3.
Stein M, Sherbourne C, Craske M, Means-Christensen A, Bystritsky A, Katon W . Quality of care for primary care patients with anxiety disorders. Am J Psychiatry. 2004; 161(12):2230-7. DOI: 10.1176/appi.ajp.161.12.2230. View

4.
Kessler R, Chiu W, Demler O, Merikangas K, Walters E . Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005; 62(6):617-27. PMC: 2847357. DOI: 10.1001/archpsyc.62.6.617. View

5.
Johnson E, Roth T, Breslau N . The association of insomnia with anxiety disorders and depression: exploration of the direction of risk. J Psychiatr Res. 2006; 40(8):700-8. DOI: 10.1016/j.jpsychires.2006.07.008. View