internet health

Posttraumatic stress disorder (PTSD) is a significant public health concern, with only a third of patients recovering within a year of treatment. While PTSD often disrupts the sense of body ownership and the sense of agency (SA), attention to SA in trauma has been lacking. This perspective article explores the loss of SA in PTSD and its relevance in the development of symptoms. Trauma is viewed as a breakdown of SA, related to a freeze response, with peritraumatic dissociation increasing the risk of PTSD. Drawing from embodied cognition, we propose an "enactive" perspective of PTSD, suggesting therapies that restore the SA through direct engagement with the body and environment...

No abstract text is available yet for this article.

This is a first-of-its-kind dataset containing detailed purchase histories from 5027 U.S. Amazon.com consumers, spanning 2018 through 2022, with more than 1.8 million purchases. Consumer spending data are customarily collected through government surveys to produce public datasets and statistics, which serve public agencies and researchers. Companies now collect similar data through consumers' use of digital platforms at rates superseding data collection by public agencies. We published this dataset in an effort towards democratizing access to rich data sources routinely used by companies...

BACKGROUND: Primary care clinicians do not adhere to national and international guidelines recommending pulmonary function testing (PFTs) in patients with suspected asthma. Little is known about why that occurs. Our objective was to assess clinician focused barriers to ordering PFTs. METHODS: An internet-based 11-item survey of primary care clinicians at a large safety-net institution was conducted between August 2021 and November 2021. This survey assessed barriers and possible electronic health record (EHR) solutions to ordering PFTs...

Over the years, the biological activities of seaweeds could have piqued research interest due to their specific functional phytochemistry, which may not be available in terrestrial plants. Seaweeds produce these compounds to overcome and control stressful biotic and abiotic conditions. Additionally, they are potentially excellent sources of highly useful leads in the development of new drugs. Our study aims to unveil, for the first time, an overview of Halopteris scoparia, a species belonging to the Phaeophyceae class and the Stypocaulacea family, by summarizing all available literature data...

[This corrects the article DOI: 10.2196/50330.].

Digital twins have emerged as a groundbreaking concept in personalized medicine, offering immense potential to transform health care delivery and improve patient outcomes. It is important to highlight the impact of digital twins on personalized medicine across the understanding of patient health, risk assessment, clinical trials and drug development, and patient monitoring. By mirroring individual health profiles, digital twins offer unparalleled insights into patient-specific conditions, enabling more accurate risk assessments and tailored interventions...

BACKGROUND: Artificial intelligence (AI)-based medical devices have garnered attention due to their ability to revolutionize medicine. Their health technology assessment framework is lacking. OBJECTIVE: This study aims to analyze the suitability of each health technology assessment (HTA) domain for the assessment of AI-based medical devices. METHODS: We conducted a scoping literature review following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology...

Evidence suggests that reductions in healthcare utilization, including forgone care, during the COVID-19 pandemic may be contributing towards excess morbidity and mortality. The objective of this study was to describe individual and community-level correlates of forgone care during the COVID-19 pandemic. We conducted a cross-sectional, secondary data analysis of participants (n = 2,003) who reported needing healthcare in two population-representative surveys conducted in Baltimore, MD in 2021 and 2021-2022...

BACKGROUND: A large language model (LLM) is a machine learning model inferred from text data that captures subtle patterns of language use in context. Modern LLMs are based on neural network architectures that incorporate transformer methods. They allow the model to relate words together through attention to multiple words in a text sequence. LLMs have been shown to be highly effective for a range of tasks in natural language processing (NLP), including classification and information extraction tasks and generative applications...

Large language models showed interpretative reasoning in solving diagnostically challenging medical cases.

BACKGROUND: Post-COVID-19 syndrome (PCS; also known as "long COVID") is a relatively novel disease comprising physical, psychological, and cognitive complaints persisting several weeks to months after acute infection with SARS-CoV-2. Approximately 10% of patients with COVID-19 are affected by long-term symptoms. However, effective treatment strategies are lacking. The ErgoLoCo (Occupational Therapy [Ergotherapie] for Long COVID) study was designed to develop and evaluate a novel occupational therapy (OT) concept of online delivery of therapy for long COVID...

BACKGROUND: While text messaging has proven effective for smoking cessation (SC), engagement in the intervention remains suboptimal. OBJECTIVE: This study aims to evaluate whether using more interactive and adaptive instant messaging (IM) apps on smartphones, which enable personalization and chatting with SC advisors, can enhance SC outcomes beyond the provision of brief SC advice and active referral (AR) to SC services. METHODS: From December 2018 to November 2019, we proactively recruited 700 adult Chinese daily cigarette users in Hong Kong...

Piezoelectric energy harvesters have gained significant attention in recent years due to their ability to convert ambient mechanical vibrations into electrical energy, which opens up new possibilities for environmental monitoring, asset tracking, portable technologies and powering remote "Internet of Things (IoT)" nodes and sensors. This review explores various aspects of piezoelectric energy harvesters, discussing the structural designs and fabrication techniques including inorganic-based energy harvesters (i...

BACKGROUND: This article challenges Zhang et al.'s claims that social media content moderation is proving detrimental to youth mental health and asserts that greater emphasis on the systemic risks posed by social media platforms is required. METHOD: This commentary draws on my lived experience as a bereaved parent, empiricial evidence and ongoing public policy and regulatory debates. CONCLUSIONS: Greater attention should be paid to the effects of algorithmic recommendation systems, which can result in teenagers becoming rapidly exposed to large amounts of harmful content on social media sites such as Instagram, Pinterest and TikTok...

AIM: To explore what Internet-based breastfeeding peer support offers to breastfeeding parents. DESIGN: Integrative review. DATA SOURCES AND REVIEW METHODS: A systematic literature search was conducted in March 2024 using the following electronic databases: CINAHL, The Cochrane Library, PubMed/MEDLINE and PsycINFO. Database searches yielded 717 results. Two researchers removed the duplicates (n = 256) and screened the remaining titles (n = 461), abstracts (n = 197) and full texts (n = 60) independently...

With technological progress, the use of the internet and smartphones has become an inseparable part of our lives and their use is increasing. The uncontrolled use of both the internet and smartphones is defined as problematic use. This study examined the effects of problematic internet and smartphone use on dietary behaviors and abnormal body weight status in young adults. Participants were 560 university students. Participants completed measures of demographics, dietary behaviors, internet and smartphone usage habits, Young's Internet Addiction Test and Smartphone Addiction Scale...

BACKGROUND: Depression is already the leading psychological disability around the world, impairing daily life, well-being, and social functioning and leading to personal and social costs. Despite the effectiveness of Evidence-Based Psychological Practices (EBPP), a significant percentage of depressive individuals remain untreated, especially in Primary Care (PC) settings in Spain. There are numerous barriers that limit access to EBPPs, including high costs, professional training, and adherence problems...

The COVID-19 pandemic has necessitated the development of robust tools for tracking and modeling the spread of the virus. We present 'K-Track-Covid,' an interactive web-based dashboard developed using the R Shiny framework, to offer users an intuitive dashboard for analyzing the geographical and temporal spread of COVID-19 in South Korea. Our dashboard employs dynamic user interface elements, employs validated epidemiological models, and integrates regional data to offer tailored visual displays. The dashboard allows users to customize their data views by selecting specific time frames, geographic regions, and demographic groups...

OBJECTIVE: Healthcare professionals (HCPs) have an ongoing need for continuing education (CE) while Health Science Librarians (HSLs), accustomed to supporting a range of learning needs in a variety of contexts, are well situated to provide CE that addresses information retrieval, literacy, management, and more. To better understand the extent of HSL delivered CE activities, we undertook a scoping review to determine how HSLs instruct practicing HCPs in support of their CE. METHODS: We searched for published and unpublished literature sources including PubMed (NCBI), Embase (Elsevier); Dissertations and Theses Global (ProQuest); CINAHL (EBSCO); Library, Information Science and Technology Abstracts (EBSCO); and Library Literature and Information Science Full Text (EBSCO)...