Motivating parents to protect their children from wildfire smoke: the impact of air quality index infographics.

. Wildfire smoke events are increasing in frequency and intensity due to climate change. Children are especially vulnerable to health effects even at moderate smoke levels.

Reclaiming Power or Reinforcing Inequities: Exploring Egg Freezing Debates on Social Media.

In China, unmarried women are prohibited from egg freezing despite high demand and declining fertility rates. Within such a context, this article aims to examine public attitudes toward reproduction and egg-freezing on social media, with particular attention paid to how these discussions reflect the multi-level determinants influencing decision-making regarding egg-freezing practices. Within the context of Chinese gender ideology, we conducted a critical discourse analysis of 1,437 Weibo posts discussing egg-freezing.

How Does Disgust Affect Mpox Prevention? Examining the Underlying Mechanisms of Perceived Severity and Perceived Susceptibility Moderated by Stigma.

The study aims to examine the influencing mechanism of incidental exposure to Disgusting Graphics Information (DGI) about Monkeypox (Mpox) on the intention of prevention behavior. This study first investigates the components of disgust and then examines the mechanism of disgust's influence. The study uses a cross-sectional survey design among respondents who have been incidentally exposed to DGI about Mpox ( = 368).

Comparative Study on the Satisfaction of Healthcare Service Providers with the Synergistic Development of Rural Healthcare Systems in China: Medical Alliance Counties vs. Non-Medical Alliance Counties.

Introduction: This study aimed to explore whether the establishment of county medical alliances can improve satisfaction with the vertical integration of healthcare systems among rural medical and healthcare service provider managers and service providers. Our study also sought to provide recommendations for the sustainable development of vertical integration in healthcare systems.

Methods: A semi-structured interview with 30 healthcare service providers was employed in this research, and Nvivo software was utilized to analyze factors that influence vertical integration.

Disembedding and re-embedding: the online interaction mechanisms of divorced youth in China.

Introduction: In recent years, China's divorce rates have remained high, especially in metropolitan areas such as Beijing and Shanghai, where rates reach up to 40%. Additionally, there has been a notable shift towards younger demographics in divorce cases. In a society that highly values marital harmony, divorce is often seen as a cultural transgression.

Predicting sales and cross-border e-commerce supply chain management using artificial neural networks and the Capuchin search algorithm.

E-commerce provides a large selection of goods for sale and purchase, which promotes regular transactions and commodity flows. Efficient distribution of goods and precise estimation of customer wants are essential for cost reduction. In order to improve supply chain efficiency in the context of cross-border e-commerce, this article combines machine learning approaches with the Internet of Things.

Testing influences of openness, conscientiousness, nationalism, media diversity, social class, and informational echo chambers on support for official responses to COVID-19 in Wuhan in November, 2020.

Introduction: As the COVID-19 pandemic raged, controversies about governmental responses to the epidemic also emerged in China. Previous studies mainly described the phenomenon of individual differences on support for governmental responses to COVID-19 with less attention to the underlying causal mechanisms. Thus, this study tries to verify the factors influencing public support for official behaviors in COVID-19.

A novel model for relation prediction in knowledge graphs exploiting semantic and structural feature integration.

Relation prediction is a critical task in knowledge graph completion and associated downstream tasks that rely on knowledge representation. Previous studies indicate that both structural features and semantic information are meaningful for predicting missing relations in knowledge graphs. This has led to the development of two types of methods: structure-based methods and semantics-based methods.

The relationship between video games and social-emotional delay in Chinese rural preschoolers: A comparison of five types of media video games and social-emotional delay.

Background: Recent studies have revealed a negative relationship between children's digital media use and social-emotional development. However, few studies distinguish between different digital devices and the different functions they provide that may lead to different outcomes.

Methods: This study explored the relationship between young children's time spent on various digital devices and their social-emotional delay based on a survey of 1182 preschoolers (3 to 6 years old) in rural China.

Reconsidering the Effectiveness of Fear Appeals: An Experimental Study of Interactive Fear Messaging to Promote Positive Actions on Climate Change.

Masspersonal communication has emerged as a compelling alternative persuasive approach in response to the widespread use of social media. It is crucial to comprehend how observing online interpersonal interactions regarding the fear appeal of climate change can foster pro-environmental behaviors among users. This study examines the effects of vicarious message interactivity in promoting actions against climate change and the underlying mechanisms behind this effect.

Corrigendum: How can the collaborative participation of regulators, whistleblowers, and parties effectively promote rumor management in public health emergencies?

[This corrects the article DOI: 10.3389/fpubh.2023.

Sexual Self-Identification Offsets and Self-Stigma Moderates: Expanding the Rejection-Identification Model to Examine Stigma's Effects on Well-Being Among Gay and Bisexual Men.

Gender and sexual minorities still face stigma-related stress from all areas of society. The rejection-identification model (RIM) proposes that some stigmatized individuals may respond to the negative effects of stigma on well-being by enhancing their self-identification. However, this does not apply to all gender and sexual minorities.

Rational or altruistic: the impact of social media information exposure on Chinese youth's willingness to donate blood.

Background: Non-remunerated blood donation is the main approach for various medical institutions to get the source of blood supply, but the blood supply shortage is still a problem in today's society. Social media has become the main approach of information acquisition for youth groups nowadays, and the information on social media will have an impact on people's behavioral decisions. The objective of this study was therefore to investigate the correlation between social media exposure to relevant information about blood donation and the willingness of youths to donate blood.

Some Slice of Climate Anxiety … Is Good: A Cross-Sectional Survey Exploring the Relationship Between College Students Media Exposure and Perceptions About Climate Change.

Climate change anxiety among young people of college age has become a prevalent topic, with debate on whether climate change anxiety is maladaptive or can motivate climate change action. Using a cross-sectional survey of 440 college students, the study investigated the relationships between college students' climate anxiety, climate change media exposure, efficacy beliefs, and pro-environmental intentions. The findings revealed among other things, that climate anxiety had a significant curvilinear relationship with pro-environmental intentions with moderate anxiety predicting positive intentions and higher levels of anxiety were associated with negative intentions.

Impact of birth order on risk-taking: Evidence from China.

Evidence about impact of birth order on risk-taking is mostly from the Western cultural contexts, and the findings are contradictory. Scant attention has been devoted to the impact of birth order on risk-taking in East Asian societies influenced by Confucian culture. In this study, we investigated how birth order impacts adult risk-taking using a representative Chinese sample (N = 12,756).

Understanding the Impact of Communicating Uncertainty About COVID-19 in the News: Randomized Between-Subjects Factorial Experiment.

Background: Whether and how the uncertainty about a public health crisis should be communicated to the general public have been important and yet unanswered questions arising over the past few years. As the most threatening contemporary public health crisis, the COVID-19 pandemic has renewed interest in these unresolved issues by both academic scholars and public health practitioners.

Objective: The aim of this study was to investigate the impact of communicating uncertainty about COVID-19-related threats and solutions on individuals' risk perceptions and misinformation vulnerability, as well as the sequential impact of these effects on health information processing and preventative behavioral intentions.

Corrigendum: Impact of a mobile health intervention based on multi-theory model of health behavior change on self-management in patients with differentiated thyroid cancer: protocol for a randomized controlled trial.

[This corrects the article DOI: 10.3389/fpubh.2024.

The effects of loving-kindness meditation on doctors' communication anxiety, trust, calling and defensive medicine practice.

Objective: The study investigated the effects of loving-kindness meditation (LKM) on doctors' communication anxiety, trust, calling, and defensive medicine practice.

Methods: This study recruited 94 doctors from a hospital in China, randomized them to an LKM group (n = 47), and waited for the control group (n = 47). The experimental group accepted an 8-week LKM interference while the waiting for the control group underwent no interference.

Optimizing green supply chain circular economy in smart cities with integrated machine learning technology.

This paper explores methodologies to enhance the integration of a green supply chain circular economy within smart cities by incorporating machine learning technology. To refine the precision and effectiveness of the prediction model, the gravitational algorithm is introduced to optimize parameter selection in the support vector machine model. A nationwide prediction model for green supply chain economic development efficiency is meticulously constructed by leveraging public economic, environmental, and demographic data.

Netographic narratives of user-generated travelogues on tourist destination image of Thailand.

The image of a tourist destination is considered a vital aspect of international travel experiences, yet research in this area remains limited. Adopting a combination of netography and qualitative research methodology, this study aims to contribute to the scientific knowledge of destination image development in Thailand by analysing online travelogues to evaluate how Chinese tourists interpret the idea of destination image. To achieve this goal, 146,641 words of Chinese internet comments containing the keyword "Thailand" from four major media sources and Chinese bloggers were gathered and analysed using netography methodology.