Journal of Health Communication最新文献

This study aims to generate evidence-based guidelines for researchers regarding how to effectively disseminate mental health research via Twitter. Three hundred mental health research Tweets posted from September 2018 to September 2019 were sampled from two large Australian organizations. Twenty-seven predictor variables were coded for each Tweet across five thematic categories: messaging; research area; mental health area; external networks; and media features. Regression analyses were conducted to determine associations with engagement outcomes of Favourites, Retweets, and Comments. Less than half (n = 10) of predictor variables passed validity tests. Notably, conclusions could not reliably be drawn on whether a Tweet featured evidence-based information. Tweets were significantly more likely to be Retweeted if they contained a hyperlink or multimedia. Tweets were significantly more likely to receive comments if they focused on a specific population group. These associations remain significant when controlling for organization. These findings indicate that researchers may be able to maximize engagement on Twitter by highlighting the population groups that the research applies to and enriching Tweets with multimedia content. In addition, care should be taken to ensure users can infer which messages are evidence-based. Guidelines and an accompanying resource are proposed.

More than 6 million people have died due to the COVID-19 pandemic. In order to slow down the spread of COVID-19, health authorities have created numerous guidelines. In the current study, we use survey data from the U.S. and social cognitive theory (SCT) to examine the associations among self-efficacy, outcome expectancies, and willingness to perform recommended COVID-19 related health behavior. Considering the misinformation-filled information ecology during the pandemic, we also examine the moderating role of misperceptions in these relationships. Our findings show that in general the SCT hypotheses hold for COVID-19 related behavior willingness. The interaction effects with COVID-19 misperceptions show that self-efficacy is not enough to understand people's health behavior. Higher outcome expectancies are important and may be able to overcome even if people held high misperceptions. Our findings have direct implications for communication theory and for health organizations in the contemporary information ecology.

The present study investigated the latent topics and language styles present in mental health organizational discourse on Twitter. The researchers sought to analyze identifying the prevalence of and language used in social support messaging in tweets about mental health care, the overarching topics regarding mental health care, and predicted that tweets with higher engagement will have increased frequency of words with positively valenced emotion and cognitive processing. A GSDMM was run to uncover latent themes that emerged in a data set of 326.9k tweets and 7.2 m words about organizational discussions of mental health. A generalized linear model using the Poisson distribution was used to assess the role of engagement, positive emotion, and cognitive processing. The study found support for both positive emotion and cognitive processing as statistically significant predictors of engagement. Directions for research include the development of health message strategies, policy needs, and online interventions.

Nurses are particularly influential to others as it relates to COVID-19 vaccination decision-making and are at higher risk of COVID-19 themselves. Yet, nurses' COVID-19 vaccination remains suboptimal. This study combines communication science frameworks with a novel conceptualize of identity-identity fusion-to explore why nurses may not vaccinate and what strategies might encourage them to protect themselves from COVID-19. Practicing nurses recruited from the West Virginia Nurses Association (N = 328) were asked about their nursing identity, COVID-19 threat perceptions, vaccination efficacy perceptions, vaccination social norms, and both vaccination and information seeking plans. Findings show that social norms may have particular influence over nurses' vaccination intentions, though this is unique to nurses who do not view themselves as completely "fused" with the nursing identity. "Fully fused" nurses, on the other hand, may respond well to information conveying their particular risk for COVID-19. Data suggest information on one's self-efficacy or ability to get vaccinated should be avoided, as it might discourage some nurses'vaccination. Findings are discussed in terms of how identity may influence vaccination.

Research suggests that issue involvement moderates the efficacy of gain and loss frames, yet the extent to which this is true across behaviors and contexts is an open question. In this study, I examined the moderating role of issue involvement in the context of fruit and vegetable intake in Lima, Peru. Only 11.3% of the Peruvian population 15 years old or older consume five servings of fruits and vegetables every day, even though this health behavior prevents the onset of chronic diseases, including diabetes and hypertension. Guided by the Reasoned Action Approach and research about the effects of gain and loss frames, I conducted an experiment (N=253, three conditions: gain-framed messages condition; loss-framed messages condition; and no-message, control condition) to assess the effect of gain- and loss-framed messages on mothers' intentions to increase fruits and vegetables consumption among their 1- to 5-year-old children in Lima. Results indicated that mothers who saw gain-framed messages reported greater intentions than those who did not see any messages (control condition). However, issue involvement moderated the effect of gain frames, such that mothers low in issue involvement reported greater intentions after seeing the gain-framed messages. Theoretical and practical implications are discussed.

This study focuses on measuring the effects of COVID-19 on mental health both at cultural and individual levels. Although many COVID-19 studies used previous COVID-19 measurements such as FCV-19S, GAD-7, PHQ-9, DASS-21, CSS, CAS, or CSI, these clinical psychology measurements did not include cultural aspects as suggested by pathogen prevalence hypothesis : Pathogen prevalence argues that psychological responses of collectivists involve clinical response as well as cultural group response, driven by strong collectivism. This study developed new "COVID-blues" scale that measure individual and cultural aspects of COVID-stress in collectivistic society context. Specifically, this study developed and validated 25-items that measure individual loneliness, fear, social anger, and socioeconomic consequences. Results of this study indicated that: (1) COVID-related stress can occur at both the individual and cultural levels, and (2) COVID-blues not only increase fear but also anger; that is, the higher the score on the COVID-blues scale, the higher the fear and anger of each individual. The findings presented robust 25-item multidimensional COVID-blues scale which can be used for conducting future health communication studies using theories such as health belief model, theory of planned behavior, or social cognitive theory in collective countries such as South Korea.

This article applies a network approach to better understand the often-demonstrated link between adolescents' drinking behavior and their exposure to alcohol-related content on social media. Focusing on social dynamics among adolescents and their peers, we investigate the causes and consequences of exposure to individual peers who share alcohol-related content online. Drawing on social network literature and the perspective of networked communication online, we distinguish between exposure effects and selective exposure as the two core dynamics that can explain the association between drinking behavior and exposure to alcohol-related content online. Based on a two-wave network survey among adolescents aged 14 to 17 (n = 277), we applied a longitudinal network analysis to test both dynamics simultaneously. The findings indicate no exposure effects but robust evidence for selective exposure. This means that drinking adolescents are more likely to become exposed to peers who post alcohol-related content. The stochastic actor-oriented model hereby controls for rivaling explanations, such as the tendency to be exposed to friends, classmates, and peers of the same gender. In addition to these empirical findings, we discuss the value of the network approach, outlining the implications for future research and prevention strategies.

The involvement of patients with mental health issues in their own treatment decision-making has often been overlooked. This study aimed to investigate the impact of shared decision-making between mental health nurses and patients with alcohol use disorders (AUD) on medication adherence. The provider-patient communication pathway model was utilized to examine the ways in which therapeutic communication strategies employed by mental health nurses positively influence medication adherence. The study employed a percentile bootstrap method and pairwise comparison tests in structural equation modeling. The results revealed that shared decision-making between AUD patients and mental health nurses directly enhanced medication adherence, as well as indirectly influenced adherence through the mediating factors of therapeutic alliance and alcohol abstinence self-efficacy. These findings hold both theoretical and practical implications for involving patients with AUD in therapeutic decision-making within psychiatric and mental health nursing settings, as well as for improving medication adherence among this patient population.

Marketers often advertise products high in sugar, fat or calories as healthy products. With this potentially misleading information, they can influence eating decisions with negative consequences for human health. Consumers need the ability to uncover misleading food advertising. However, individuals' perceived knowledge and their actual objective abilities often drift apart - a phenomenon which has come to be known as the Dunning-Kruger Effect. Thus, this study set out to uncover the phenomenon's potential existence in health communication, more precisely in the area of food and media literacy. In a quantitative survey representative of the Austrian population (n = 1000) the Dunning-Kruger Effect (DKE) could be detected: Individuals who were most knowledgeable underestimated their food and media literacy, but - on the positive side - they acted as opinion leaders. Individuals who were least knowledgeable about advertising strategies used to market an unhealthy product as healthy and about the actual nutrition score of the advertised product were most likely to overestimate their own food and media literacy. Worryingly, further concerning consequences emerged, especially for least knowledgeable individuals. The study's results provide important implications for public health campaigns.