Aim: This study aimed to assess the engagement of Instagram users with Brazilian Portuguese posts related to amber necklaces for teething symptoms relief, identifying predictive factors that can increase users' engagement with information and misinformation.
Methods: This digital study analysed Brazilian Portuguese amber necklace-related posts on Instagram. The posts were collected using specific search strategies on CrowdTangleTM. Subsequently, two independent investigators were trained and calibrated to categorise the posts concerning the proposed outcomes. The posts were categorised according to their facticity (information or misinformation), type of media (album/photo or video/Instagram TV), sentiment (positive, neutral, or negative), author's occupation (dentist or non-dentist), and type of profile (commercial or personal). Additionally, investigators compiled information about the time of publication (days) and interaction metrics (total interaction and overperforming score). The statistical analysis assessed the inter-examiner reliability, group comparisons, and the factors associated with interaction and misinformation. P values <0.05 were considered significant.
Conclusion: Videos and personal profiles were predictive factors for higher user engagement with amber necklace posts on teething symptoms relief on Instagram, even with the warnings of health organisations and the lack of scientific evidence to confirm its efficacy.
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http://dx.doi.org/10.23804/ejpd.2024.1984 | DOI Listing |
JMIR Res Protoc
January 2025
School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.
Background: Heart failure (HF) is a chronic, progressive condition where the heart cannot pump enough blood to meet the body's needs. In addition to the daily challenges that HF poses, acute exacerbations can lead to costly hospitalizations and increased mortality. High health care costs and the burden of HF have led to the emerging application of new technologies to support people living with HF to stay well while living in the community.
View Article and Find Full Text PDFJMIR Public Health Surveill
January 2025
School of Arts and Media, Wuhan College, Wuhan, China.
Background: The global aging population and rapid development of digital technology have made health management among older adults an urgent public health issue. The complexity of online health information often leads to psychological challenges, such as cyberchondria, exacerbating health information avoidance behaviors. These behaviors hinder effective health management; yet, little research examines their mechanisms or intervention strategies.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Psychiatry Department, Weill Cornell Medicine, New York, NY, United States.
Background: Mental illness is one of the top causes of preventable pregnancy-related deaths in the United States. There are many barriers that interfere with the ability of perinatal individuals to access traditional mental health care. Digital health interventions, including app-based programs, have the potential to increase access to useful tools for these individuals.
View Article and Find Full Text PDFJMIR Form Res
January 2025
CIRCLE - Complex Intervention Research in Health and Care, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Background: Parents of children treated for cancer may experience psychological difficulties including depression, anxiety, and posttraumatic stress. Digital interventions, such as internet-administered cognitive behavioral therapy, offer an accessible and flexible means to support parents. However, engagement with and adherence to digital interventions remain a significant challenge, potentially limiting efficacy.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Tobacco Settlement Endowment Trust Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences, Oklahoma City, OK, United States.
Background: Social behavioral research studies have increasingly shifted to remote recruitment and enrollment procedures. This shifting landscape necessitates evolving best practices to help mitigate the negative impacts of deceptive attempts (eg, fake profiles and bots) at enrolling in behavioral research.
Objective: This study aimed to develop and implement robust deception detection procedures during the enrollment period of a remotely conducted randomized controlled trial.
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