Objective: To create a hashtag ontology specific to menopause.
Methods: This study analyzed tweets including the hashtag #menopause between November 2019 and November 2021. Tweets performed by international or national societies as well as expert social media influencers were included in the analysis. To analyze hashtag utilization amongst all Twitter users, hashtags from the "Top" tweets Twitter search function from October 2021 were also analyzed. Co-occurring hashtags were recorded as well as the type of user who performed the tweet during the "Top" tweets analysis. Social media influencers and experts reviewed and edited the hashtag list. The hashtags were then grouped by subject.
Results: We analyzed 382 tweets with #menopause. Of the users included in the "Top" tweets, 40% were patient advocates or advocacy groups; 38% were medical professionals, academics, societies, or journals; and 22% were general users. In total, 123 unique hashtags were identified. After social media influencer and expert review, 32 hashtags were included in the final ontology. The ontology was then grouped into the following categories based on subject matter: general, premature menopause, hormones, sexual function, and genital disorders.
Conclusions: Social media is an important tool for medical professionals and patients. Our study is the first to develop a hashtag ontology specific to menopause. Adoption of a hashtag ontology with standardized terminology by medical professionals may facilitate easier communication with peers and patients.
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http://dx.doi.org/10.1097/GME.0000000000002012 | DOI Listing |
Acta Neurochir (Wien)
December 2024
Department of Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.
Objectives: To report the results of an international patient-reported survey that adds to the growing body of evidence surrounding the role of surgery in the management of a subset of patients with non-hydrocephalic symptomatic pineal cyst.
Design: An international web-based survey of health outcomes in patients with nhSPC.
Subjects: All survey participants who self-reported a diagnosis of symptomatic pineal cyst without hydrocephalus after radiological imaging.
J Pediatr Psychol
December 2024
Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at the University of California, Los Angeles (UCLA), Los Angeles, CA, United States.
Objective: Adolescents and young adults with chronic diseases face unique challenges during the college years and may consume alcohol and other substances to cope with stressors. This study aimed to assess the patterns of substance use and to determine psychosocial correlates of these behaviors among college youth with type 1 diabetes (T1D).
Methods: College youth with T1D were recruited via social media and direct outreach into a web-based study.
Sci Rep
December 2024
Henan University of Engineering, Zhengzhou, 451191, China.
Social media generates vast amounts of spatio-temporal sequential data. However, current methods often ignore the complex spatio-temporal correlations within these data. This oversight makes it difficult to fully capture the dynamic features of the data.
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December 2024
School of Statistics and Mathematics, Inner Mongolia University of Finance and Economics, Hohhot, 010070, China.
The propagation of public opinion in multilingual environments presents unique challenges due to the diversity of languages, cultures, and values. This study develops an SEIR-based model tailored for multilingual contexts, incorporating mechanisms such as social enhancement, forgetting, and cross-transmission. The model's purpose is to improve transparency, inclusivity, and effectiveness in public opinion management, particularly in diverse linguistic settings.
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December 2024
Lee Kum Sheung Center for Health and Happiness, Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
The debate on how social media use (SMU) influences adolescent well-being is mostly based on self-reports of SMU. By collecting data and screenshots donated from 374 Swiss adolescents (Meanage = 15.71; SDage = 0.
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