Mitigating Identity Threat in Health Messaging: A Social Identity Complexity Perspective.

Health messages aiming to reduce red meat consumption may threaten multiple social identities because people's dietary choices are intertwined with personal, social, and cultural aspects of their lives. Leveraging social identity theory and the concept of social identity complexity, this experiment tested how identity-threatening messages affect people's intention to reduce red meat consumption and how the effect of identity threat may be moderated by messages highlighting the relationships between multiple identities that define a person. Participants (N = 409) read messages that varied identity threat (i.e. the extent to which people feel devalued because of their membership in a social group) and identity complexity (i.e. the extent to which people perceive multiple identities as independent). The study found that identity-threatening messages decreased intentions to reduce red meat consumption when people perceived their dietary identity as overlapping with other identities, but increased the intentions when the dietary identity was seen as independent from other identities. Further, the effects of identity threat and complexity were limited to people with high (vs. low) levels of red meat consumption. We discuss the role of identity complexity in alleviating identity threat and increasing persuasion.

Engaging in Health Activism through Neighbor-to-Neighbor Communication.

Given the importance of local organizing to environmental health advocacy and activism, we need more understanding of how neighbors communicate about health risks. Individual residents in a neighborhood can be agents of social change, communicating about common health concerns and ways to cope with them, potentially leading to health activism. In this study, we used a grounded theory approach to analyze Pennsylvania residents' (N = 407) responses to open-ended questions that asked their thoughts on engaging in conversations with neighbors about the risk of lead exposure. Our findings describe (a) what respondents would want to share with neighbors about health risks and how they would communicate with their neighbors, (b) what actions they would like to promote to neighbors, and (c) what additional factors would facilitate conversations with neighbors. Based on the critical examination of the findings, we discuss communication strategies that can motivate health activism to bring about social structural changes.

Risk-Likelihood Perceptions and Preventive Behaviors Against Infectious Diseases: Testing Different Types of Risk-Likelihood Perceptions in the Context of MERS and COVID-19.

Effective public health communication should take into the consideration how communicated risk perceptions might influence the public. Although many health behavior theories claim that high perceived risk likelihood motivates preventive health behaviors, this general prediction is complicated by different ways of estimating risk likelihood. Our review of 14 previous studies on perceived risk of infectious diseases revealed different measures of risk likelihood and inconsistent findings regarding the relationship between perceived risk likelihood and behavioral intention. Drawn from the review, we examined the predictive power of different types of risk likelihood on intention to prevent infectious diseases. Using two separate data sets, collected during the 2015 outbreak of the Middle East respiratory syndrome (N = 557) and the COVID-19 pandemic of 2021 (N = 1,001), we demonstrated that perceived risk likelihood that specifies future inaction on health behaviors (i.e., conditional absolute risk perception) better predicted behavioral intention than did other types of risk perceptions. When the effect of conditional absolute risk perception was controlled, the behavioral intention and unconditional absolute risk perception showed a negative relationship. The findings have theoretical and practical implications that can inform strategic communication during future outbreaks.

Network pharmacology and molecular docking approaches to elucidate the potential compounds and targets of Saeng-Ji-Hwang-Ko for treatment of type 2 diabetes mellitus.

BACKGROUND: Saeng-Ji-Hwang-Ko (SJHK) is a traditional Korean medicine formula derived from Donguibogam, a classic medical textbook, published in 1613. It is described as a general treatment for So-gal (wasting-thirst, ) known as type 2 diabetes mellitus (T2DM) in a modern clinical term. It is necessary to elucidate the potential compounds and targets of SJHK for T2DM treatment by conducting network pharmacology and molecular docking analyses. METHODS: Information about the chemical constituents of SJHK were collected, and druggable compounds were screened based on oral bioavailability and drug-likeness. Putative target genes of druggable compounds and T2DM-related genes were retrieved from public databases. A compound-target network was constructed to visualize the relationship between the druggable compounds in SJHK and common targets related to T2DM. The constructed network was further investigated through Protein-Protein Interaction, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway analyses, and molecular docking. RESULTS: Compound-target network analysis demonstrated that kaempferol, salicylic acid, estrone, and ß-sitosterol were key compounds of SJHK with PTGS2, ESR1, PRKAA2, PRKAB1, and CYP19A1 being its key targets. Estrogen signaling, AGE-RAGE signaling, insulin resistance, non-alcoholic fatty liver disease, and TNF signaling pathway were potential pathways involved in the effect of SJHK on T2DM. Molecular docking simulations revealed that estrone and ß-sitosterol had the strong binding energies for all the key target proteins. CONCLUSIONS: This study demonstrates that network pharmacology and molecular docking analyses help to better understand the potential key compounds and targets of SJHK for treating T2DM as a complementary medicine. SUMMARY: Type 2 diabetes mellitus (T2DM) is a complex metabolic disorder caused by genetic and/or environmental factors. There has been a growing attention to new therapeutic approaches to treat T2DM using traditional medicine as a complementary treatment which is expected to have synergistic effects with few side effects. Saeng-Ji-Hwang-Ko (SJHK) is a traditional Korean medicine (TKM) formula derived from Donguibogam, a classic medical textbook, published in 1613. It is described as a general treatment for So-gal (wasting-thirst, ) known as type 2 diabetes mellitus (T2DM) in a modern clinical term. It is necessary to elucidate the potential compounds and targets of SJHK for T2DM treatment by conducting network pharmacology and molecular docking analyses. Compound-target network analysis demonstrated that kaempferol, salicylic acid, estrone, and ß-sitosterol were key compounds of SJHK with PTGS2, ESR1, PRKAA2, PRKAB1, and CYP19A1 being its key targets. Estrogen signaling, AGE-RAGE signaling, insulin resistance, non-alcoholic fatty liver disease, and TNF signaling pathway were potential pathways involved in the effect of SJHK on T2DM. Molecular docking evaluation revealed that estrone and ß-sitosterol had the highest binding energies for all key target proteins, suggesting potential key compounds of SJHK. Although additional future studies including further experimental and clinical validation are needed, this study demonstrates that SJHK has a great potential for treating T2DM as a complementary medicine.

Conditional risk perception and protection behavior: Testing the behavior motivation hypothesis and the risk reappraisal hypothesis.

There exist two distinctive hypotheses on the relationship between perceived risk and protection behavior: the behavioral motivation hypothesis (i.e., a higher risk perception motivates protection behaviors) and the risk reappraisal hypothesis (i.e., protection behaviors reduce perceived risk). To test these competing hypotheses, we examined how risk perception, behavioral intention, and behavior are affected by conditional risk information. In a two-wave panel experiment conducted online in South Korea (Time 1 N = 450; Time 2 N = 276), we manipulated the risk level (high vs. low) of gum disease in a health message both for the inaction of the recommended preventive behavior (flossing) and for the action of the behavior. The results showed that information about high (vs. low) inaction conditional risk indirectly led to greater flossing intention via changing inaction risk perception. In contrast, information about high (vs. low) action conditional risk increased action risk perception, which was negatively linked to flossing intention. Greater inaction risk perception at Time 1 significantly increased actual flossing behavior at Time 2. The decrease in risk perception between Time 1 (inaction conditional) and Time 2 (unconditional) was greater with increasing intentions at Time 1 and with actual behavioral engagement between Time 1 and Time 2. The findings of this study supported both the behavioral motivation hypothesis and the risk reappraisal hypothesis.

Coping with COVID-19 at the community level: Testing the predictors and outcomes of communal coping.

The COVID-19 pandemic is a socially shared health issue that has had profound impacts on all aspects of community life and requires collaborative coping responses. Drawn from the extended theoretical model of communal coping, we examined (a) factors that promote community members' communal coping and (b) the influence of communal coping on perceived stress and positive adaptation in the context of COVID-19. An empirical test based on the survey of participants (N = 257) living in the state of New York showed that strong community identity, but not the length of residency in the same community and integrated connectedness to communication resources of the community, was positively associated with communal coping orientation. Having a higher communal coping orientation was not related to perceived stress, but it was positively related to engagement in COVID-19 preventive behaviors. The implications of these findings for understanding communal coping at the community level and future directions are discussed.

Protein tyrosine phosphatases (PTPs) in diabetes: causes and therapeutic opportunities.

Protein tyrosine phosphatases (PTPs) have an emerging paradigm for the development of antidiabetic drugs. Herein, we provide a comprehensive overview of the relevance of PTPs to type 2 diabetes (T2D) and the therapeutic opportunities thereof, while critically evaluating the potential challenges for PTP inhibitors to be next generation antidiabetics. This review briefly discusses the structure and function of PTPs. An account of importance and relevance of PTPs in various human diseases is presented with special attention to diabetes. The PTPs relevant to T2D have been targeted by small molecule inhibitors such as natural products and synthetic compounds as well as antisense nucleic acids. This review will give better understanding of the important concepts helpful in outlining the strategies for the development of new therapeutic agents with promising antidiabetic activities.

Communal Innovations: Inspiring Neighborhoods of Hope and Advocacy.

Innovations promise a better future, which may generate feelings of hope and inspire advocacy. Some innovations are more communal in nature: attempting to address a social problem, through community engagement and wide-spread adoption. For such innovations, the social processes that involve collective aspects of community life may play important roles in fostering hope and interpersonal advocacy. This study uses communication infrastructure theory and discrete emotions theory to investigate hope and advocacy within a field trial for a salient, visible, community-bound innovation to reduce transmission of malaria. Heads of households in one community (N = 119) in West Africa were interviewed. Results showed that innovation hope was predicted by appraisals of innovation attributes. Better appraisals of the innovation's attributes, greater perceived collective efficacy, and recent malaria illness predicted more innovation advocacy. The spatial analysis showed that innovation advocacy was geographically clustered within the community, but hope was not. The implications for theory and practice are discussed.

Success Expectancy: A Mediator of the Effects of Source Similarity and Self-Efficacy on Health Behavior Intention.

Although many health communication studies have substantiated the role of self-efficacy as one of the most proximal determinants of behavioral intention, a recent body of research has also shown that high self-efficacy does not always translate into intention to perform a recommended health behavior. Recognizing the common ground among three independent lines of research on outcome expectancy, goal attainability, and expectation of success, the present study proposed success expectancy, or perceived likelihood of goal achievement, as a mediator between self-efficacy and health behavior intention, which may explain the inconsistent findings on self-efficacy. An online experiment (N = 336), in which similarity of the source in health messages was manipulated, demonstrated that success expectancy indeed mediated the relationship between self-efficacy and behavioral intention. Success expectancy also mediated the effects of source similarity on behavioral intention, while neither task nor coping self-efficacy showed such effects. These results suggest that health promotion messages focusing specifically on increasing perceptions of success expectancy may be more effective in inducing health behaviors than messages that promote self-efficacy, particularly in health contexts, in which people with high self-efficacy do not tend to successfully enact recommended health behaviors.

Communicating Antibiotic Stewardship: Emotional Responses and Their Impact on Adherence.

Although watchful watching has been recommended as a means of reducing unnecessary use of antibiotics, nonadherence has frequently been observed. Drawing from appraisal theories of emotion, this study (n = 579) examined (a) the factors that shape pediatric caregivers' emotional experiences in the medical contexts and (b) the influence of emotions on (non)adherence behavioral intentions. Caregivers reported more intense negative emotions and less intense positive emotions following watchful waiting advice versus receiving an antibiotic prescription. The differences were mostly driven by false beliefs about antibiotics' effectiveness. Emotional responses predicted intentions to adhere to watchful waiting advice (e.g., counterargue and seek another healthcare provider), with anger being the most consistent determinant of these outcomes. Improving antibiotic stewardship can be achieved by educational efforts to correct false beliefs and by training healthcare providers to manage caregiver emotions.

Identifying and Predicting Profiles of Medical Noncompliance: Pediatric Caregivers' Antibiotic Stewardship.

Sometimes compliance with medical recommendations is problematic. We investigated pediatric caregivers' (N = 606) patterns of noncompliance with antibiotic stewardship based on the obstacle hypothesis. We tested predictors of noncompliance framed by the obstacle hypothesis, dissonance theory, and psychological reactance. The results revealed four profiles of caregivers' stewardship: one marked by compliance (Stewards) and three marked by types of noncompliance (Stockers, Persuaders, and Dissenters). The covariate analysis showed that, although psychological reactance predicted being noncompliant, it was types of obstacles and discrepant experiences that predicted caregivers' patterns of noncompliance with antibiotic stewardship. Campaign planning often focuses on identifying the belief most associated with the targeted outcome, such as compliance. Noncompliance research, however, points out that persuaders may be successful to the extent to which they anticipate obstacles to compliance and address them in their influence attempts. A shift from medical noncompliance to patient engagement also affords an opportunity to consider how some recommendations create obstacles for others and to find positive ways to embrace conflicting needs, tensions, and reasons for refusal in order to promote collective goals.

Integrating Models of Diffusion and Behavior to Predict Innovation Adoption, Maintenance, and Social Diffusion.

This study documents an investigation into the adoption and diffusion of eave tubes, a novel mosquito vector control, during a large-scale scientific field trial in West Africa. The diffusion of innovations (DOI) and the integrated model of behavior (IMB) were integrated (i.e., innovation attributes with attitudes and social pressures with norms) to predict participants' (N = 329) diffusion intentions. The findings showed that positive attitudes about the innovation's attributes were a consistent positive predictor of diffusion intentions: adopting it, maintaining it, and talking with others about it. As expected by the DOI and the IMB, the social pressure created by a descriptive norm positively predicted intentions to adopt and maintain the innovation. Drawing upon sharing research, we argued that the descriptive norm may dampen future talk about the innovation, because it may no longer be seen as a novel, useful topic to discuss. As predicted, the results showed that as the descriptive norm increased, the intention to talk about the innovation decreased. These results provide broad support for integrating the DOI and the IMB to predict diffusion and for efforts to draw on other research to understand motivations for social diffusion.